/* Generated by Cython 0.28.1 */

#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
    #error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
    #error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_28_1"
#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
#elif defined(PYSTON_VERSION)
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 1
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #undef CYTHON_USE_ASYNC_SLOTS
  #define CYTHON_USE_ASYNC_SLOTS 0
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
#else
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 1
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
    #define CYTHON_USE_PYTYPE_LOOKUP 1
  #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 (0 && PY_VERSION_HEX >= 0x03050000)
  #endif
  #ifndef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
  #endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
  #include "longintrepr.h"
  #undef SHIFT
  #undef BASE
  #undef MASK
#endif
#ifndef __has_attribute
  #define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
  #define __has_cpp_attribute(x) 0
#endif
#ifndef CYTHON_RESTRICT
  #if defined(__GNUC__)
    #define CYTHON_RESTRICT __restrict__
  #elif defined(_MSC_VER) && _MSC_VER >= 1400
    #define CYTHON_RESTRICT __restrict
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_RESTRICT restrict
  #else
    #define CYTHON_RESTRICT
  #endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
#   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
#     define CYTHON_UNUSED __attribute__ ((__unused__))
#   else
#     define CYTHON_UNUSED
#   endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
#   define CYTHON_UNUSED __attribute__ ((__unused__))
# else
#   define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
#  if defined(__cplusplus)
     template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
#  else
#    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
#  endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
#  define CYTHON_NCP_UNUSED
# else
#  define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
    #ifndef _MSC_STDINT_H_
        #if _MSC_VER < 1300
           typedef unsigned char     uint8_t;
           typedef unsigned int      uint32_t;
        #else
           typedef unsigned __int8   uint8_t;
           typedef unsigned __int32  uint32_t;
        #endif
    #endif
#else
   #include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
  #if defined(__cplusplus) && __cplusplus >= 201103L
    #if __has_cpp_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH [[fallthrough]]
    #elif __has_cpp_attribute(clang::fallthrough)
      #define CYTHON_FALLTHROUGH [[clang::fallthrough]]
    #elif __has_cpp_attribute(gnu::fallthrough)
      #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
    #endif
  #endif
  #ifndef CYTHON_FALLTHROUGH
    #if __has_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH __attribute__((fallthrough))
    #else
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
  #if defined(__clang__ ) && defined(__apple_build_version__)
    #if __apple_build_version__ < 7000000
      #undef  CYTHON_FALLTHROUGH
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
#endif

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

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

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

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

#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\
    (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)))  )
#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)
#define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False))
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    PyObject* ascii_chars_u = NULL;
    PyObject* ascii_chars_b = NULL;
    const char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    if (strcmp(default_encoding_c, "ascii") == 0) {
        __Pyx_sys_getdefaultencoding_not_ascii = 0;
    } else {
        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));
    if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
    strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    return -1;
}
#endif
#endif


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

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

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


static const char *__pyx_f[] = {
  "_fast_maxout_cnn.pyx",
  "stringsource",
  "__init__.pxd",
  "cymem.pxd",
  "linalg.pxd",
  "type.pxd",
};

/* "typedefs.pxd":7
 * 
 * 
 * ctypedef float weight_t             # <<<<<<<<<<<<<<
 * ctypedef uint64_t atom_t
 * ctypedef uint64_t feat_t
 */
typedef float __pyx_t_5thinc_8typedefs_weight_t;

/* "typedefs.pxd":8
 * 
 * ctypedef float weight_t
 * ctypedef uint64_t atom_t             # <<<<<<<<<<<<<<
 * ctypedef uint64_t feat_t
 * ctypedef uint64_t hash_t
 */
typedef uint64_t __pyx_t_5thinc_8typedefs_atom_t;

/* "typedefs.pxd":9
 * ctypedef float weight_t
 * ctypedef uint64_t atom_t
 * ctypedef uint64_t feat_t             # <<<<<<<<<<<<<<
 * ctypedef uint64_t hash_t
 * ctypedef int32_t class_t
 */
typedef uint64_t __pyx_t_5thinc_8typedefs_feat_t;

/* "typedefs.pxd":10
 * ctypedef uint64_t atom_t
 * ctypedef uint64_t feat_t
 * ctypedef uint64_t hash_t             # <<<<<<<<<<<<<<
 * ctypedef int32_t class_t
 * ctypedef uint32_t count_t
 */
typedef uint64_t __pyx_t_5thinc_8typedefs_hash_t;

/* "typedefs.pxd":11
 * ctypedef uint64_t feat_t
 * ctypedef uint64_t hash_t
 * ctypedef int32_t class_t             # <<<<<<<<<<<<<<
 * ctypedef uint32_t count_t
 * ctypedef uint32_t time_t
 */
typedef int32_t __pyx_t_5thinc_8typedefs_class_t;

/* "typedefs.pxd":12
 * ctypedef uint64_t hash_t
 * ctypedef int32_t class_t
 * ctypedef uint32_t count_t             # <<<<<<<<<<<<<<
 * ctypedef uint32_t time_t
 * ctypedef int32_t len_t
 */
typedef uint32_t __pyx_t_5thinc_8typedefs_count_t;

/* "typedefs.pxd":13
 * ctypedef int32_t class_t
 * ctypedef uint32_t count_t
 * ctypedef uint32_t time_t             # <<<<<<<<<<<<<<
 * ctypedef int32_t len_t
 * ctypedef int32_t idx_t
 */
typedef uint32_t __pyx_t_5thinc_8typedefs_time_t;

/* "typedefs.pxd":14
 * ctypedef uint32_t count_t
 * ctypedef uint32_t time_t
 * ctypedef int32_t len_t             # <<<<<<<<<<<<<<
 * ctypedef int32_t idx_t
 * 
 */
typedef int32_t __pyx_t_5thinc_8typedefs_len_t;

/* "typedefs.pxd":15
 * ctypedef uint32_t time_t
 * ctypedef int32_t len_t
 * ctypedef int32_t idx_t             # <<<<<<<<<<<<<<
 * 
 * 
 */
typedef int32_t __pyx_t_5thinc_8typedefs_idx_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":730
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 * 
 * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t
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typedef npy_int8 __pyx_t_5numpy_int8_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":731
 * 
 * ctypedef npy_int8       int8_t
 * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int32      int32_t
 * ctypedef npy_int64      int64_t
 */
typedef npy_int16 __pyx_t_5numpy_int16_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":732
 * ctypedef npy_int8       int8_t
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int64      int64_t
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typedef npy_int32 __pyx_t_5numpy_int32_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":733
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t
 * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_int96      int96_t
 * #ctypedef npy_int128     int128_t
 */
typedef npy_int64 __pyx_t_5numpy_int64_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":737
 * #ctypedef npy_int128     int128_t
 * 
 * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t
 */
typedef npy_uint8 __pyx_t_5numpy_uint8_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":738
 * 
 * ctypedef npy_uint8      uint8_t
 * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint32     uint32_t
 * ctypedef npy_uint64     uint64_t
 */
typedef npy_uint16 __pyx_t_5numpy_uint16_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":739
 * ctypedef npy_uint8      uint8_t
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint64     uint64_t
 * #ctypedef npy_uint96     uint96_t
 */
typedef npy_uint32 __pyx_t_5numpy_uint32_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":740
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t
 * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_uint96     uint96_t
 * #ctypedef npy_uint128    uint128_t
 */
typedef npy_uint64 __pyx_t_5numpy_uint64_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":744
 * #ctypedef npy_uint128    uint128_t
 * 
 * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_float64    float64_t
 * #ctypedef npy_float80    float80_t
 */
typedef npy_float32 __pyx_t_5numpy_float32_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":745
 * 
 * ctypedef npy_float32    float32_t
 * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_float80    float80_t
 * #ctypedef npy_float128   float128_t
 */
typedef npy_float64 __pyx_t_5numpy_float64_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":754
 * # The int types are mapped a bit surprising --
 * # numpy.int corresponds to 'l' and numpy.long to 'q'
 * ctypedef npy_long       int_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longlong   long_t
 * ctypedef npy_longlong   longlong_t
 */
typedef npy_long __pyx_t_5numpy_int_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":755
 * # numpy.int corresponds to 'l' and numpy.long to 'q'
 * ctypedef npy_long       int_t
 * ctypedef npy_longlong   long_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longlong   longlong_t
 * 
 */
typedef npy_longlong __pyx_t_5numpy_long_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":756
 * ctypedef npy_long       int_t
 * ctypedef npy_longlong   long_t
 * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_ulong      uint_t
 */
typedef npy_longlong __pyx_t_5numpy_longlong_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":758
 * ctypedef npy_longlong   longlong_t
 * 
 * ctypedef npy_ulong      uint_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulong_t
 * ctypedef npy_ulonglong  ulonglong_t
 */
typedef npy_ulong __pyx_t_5numpy_uint_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":759
 * 
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 */
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":760
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t
 * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_intp       intp_t
 */
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":762
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uintp      uintp_t
 * 
 */
typedef npy_intp __pyx_t_5numpy_intp_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":763
 * 
 * ctypedef npy_intp       intp_t
 * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_double     float_t
 */
typedef npy_uintp __pyx_t_5numpy_uintp_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":765
 * ctypedef npy_uintp      uintp_t
 * 
 * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
 * ctypedef npy_double     double_t
 * ctypedef npy_longdouble longdouble_t
 */
typedef npy_double __pyx_t_5numpy_float_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":766
 * 
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longdouble longdouble_t
 * 
 */
typedef npy_double __pyx_t_5numpy_double_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":767
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t
 * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_cfloat      cfloat_t
 */
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;

/* "thinc/neural/_fast_maxout_cnn.pyx":19
 * from ..api import wrap
 * 
 * ctypedef float real_t             # <<<<<<<<<<<<<<
 * ctypedef int dim_t
 * 
 */
typedef float __pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t;

/* "thinc/neural/_fast_maxout_cnn.pyx":20
 * 
 * ctypedef float real_t
 * ctypedef int dim_t             # <<<<<<<<<<<<<<
 * 
 * 
 */
typedef int __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t;
/* Declarations.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    typedef ::std::complex< float > __pyx_t_float_complex;
  #else
    typedef float _Complex __pyx_t_float_complex;
  #endif
#else
    typedef struct { float real, imag; } __pyx_t_float_complex;
#endif
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);

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


/*--- Type declarations ---*/
struct __pyx_obj_5cymem_5cymem_Pool;
struct __pyx_obj_5cymem_5cymem_Address;
struct __pyx_obj_5thinc_6linalg_Matrix;
struct __pyx_obj_5thinc_6linalg_Vec;
struct __pyx_obj_5thinc_6linalg_VecVec;
struct __pyx_obj_5thinc_6linalg_Mat;
struct __pyx_obj_5thinc_6linalg_MatVec;
struct __pyx_obj_5thinc_6linalg_MatMat;
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations;
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Weights;
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn___pyx_scope_struct__MaxoutWindowEncoder;
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn___pyx_scope_struct_1__mwe_fwd;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":769
 * ctypedef npy_longdouble longdouble_t
 * 
 * ctypedef npy_cfloat      cfloat_t             # <<<<<<<<<<<<<<
 * ctypedef npy_cdouble     cdouble_t
 * ctypedef npy_clongdouble clongdouble_t
 */
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":770
 * 
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
 * ctypedef npy_clongdouble clongdouble_t
 * 
 */
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":771
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t
 * ctypedef npy_clongdouble clongdouble_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_cdouble     complex_t
 */
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;

/* "../../env363/lib/python3.6/site-packages/Cython/Includes/numpy/__init__.pxd":773
 * ctypedef npy_clongdouble clongdouble_t
 * 
 * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew1(a):
 */
typedef npy_cdouble __pyx_t_5numpy_complex_t;

/* "cymem/cymem.pxd":1
 * cdef class Pool:             # <<<<<<<<<<<<<<
 *     cdef readonly size_t size
 *     cdef readonly dict addresses
 */
struct __pyx_obj_5cymem_5cymem_Pool {
  PyObject_HEAD
  struct __pyx_vtabstruct_5cymem_5cymem_Pool *__pyx_vtab;
  size_t size;
  PyObject *addresses;
  PyObject *refs;
};


/* "cymem/cymem.pxd":11
 * 
 * 
 * cdef class Address:             # <<<<<<<<<<<<<<
 *     cdef void* ptr
 */
struct __pyx_obj_5cymem_5cymem_Address {
  PyObject_HEAD
  void *ptr;
};


/* "linalg.pxd":22
 * 
 * 
 * cdef class Matrix:             # <<<<<<<<<<<<<<
 *     cdef readonly Pool mem
 *     cdef weight_t* data
 */
struct __pyx_obj_5thinc_6linalg_Matrix {
  PyObject_HEAD
  struct __pyx_obj_5cymem_5cymem_Pool *mem;
  __pyx_t_5thinc_8typedefs_weight_t *data;
  int32_t nr_row;
  int32_t nr_col;
};


/* "linalg.pxd":29
 * 
 * 
 * cdef class Vec:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:
 */
struct __pyx_obj_5thinc_6linalg_Vec {
  PyObject_HEAD
  struct __pyx_vtabstruct_5thinc_6linalg_Vec *__pyx_vtab;
};


/* "linalg.pxd":158
 * 
 * 
 * cdef class VecVec:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void add(weight_t* output,
 */
struct __pyx_obj_5thinc_6linalg_VecVec {
  PyObject_HEAD
  struct __pyx_vtabstruct_5thinc_6linalg_VecVec *__pyx_vtab;
};


/* "linalg.pxd":250
 * 
 * 
 * cdef class Mat:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void mean_row(weight_t* Ex,
 */
struct __pyx_obj_5thinc_6linalg_Mat {
  PyObject_HEAD
  struct __pyx_vtabstruct_5thinc_6linalg_Mat *__pyx_vtab;
};


/* "linalg.pxd":278
 * 
 * 
 * cdef class MatVec:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void add_i(weight_t* mat,
 */
struct __pyx_obj_5thinc_6linalg_MatVec {
  PyObject_HEAD
  struct __pyx_vtabstruct_5thinc_6linalg_MatVec *__pyx_vtab;
};


/* "linalg.pxd":407
 * 
 * 
 * cdef class MatMat:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void add(weight_t* output,
 */
struct __pyx_obj_5thinc_6linalg_MatMat {
  PyObject_HEAD
  struct __pyx_vtabstruct_5thinc_6linalg_MatMat *__pyx_vtab;
};


/* "thinc/neural/_fast_maxout_cnn.pyx":27
 * 
 * 
 * cdef class _Activations:             # <<<<<<<<<<<<<<
 *     cdef float** a
 *     cdef float** b
 */
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations {
  PyObject_HEAD
  float **a;
  float **b;
  float **c;
  float **d;
  float **e;
  float **f;
  int **which;
  int *lengths;
  struct __pyx_obj_5cymem_5cymem_Pool *mem;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t nX;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t nO;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t nP;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t nr_iter;
};


/* "thinc/neural/_fast_maxout_cnn.pyx":109
 * 
 * 
 * cdef class _Weights:             # <<<<<<<<<<<<<<
 *     cdef float* syn
 *     cdef float* bias
 */
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Weights {
  PyObject_HEAD
  float *syn;
  float *bias;
  float *scale;
  float *shift;
};


/* "thinc/neural/_fast_maxout_cnn.pyx":122
 * 
 * 
 * def MaxoutWindowEncoder(nr_unit, nr_iter):             # <<<<<<<<<<<<<<
 *     maxout = Maxout(nr_unit, nr_unit*3, pieces=3)
 *     normalize = LayerNorm(maxout)
 */
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn___pyx_scope_struct__MaxoutWindowEncoder {
  PyObject_HEAD
  PyObject *__pyx_v_maxout;
  PyObject *__pyx_v_normalize;
  PyObject *__pyx_v_nr_iter;
};


/* "thinc/neural/_fast_maxout_cnn.pyx":137
 * 
 * 
 * def _mwe_fwd(dim_t nr_iter, maxout, normalize, inputs, drop=0.):             # <<<<<<<<<<<<<<
 *     '''
 *     The function in the inner loop is:
 */
struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn___pyx_scope_struct_1__mwe_fwd {
  PyObject_HEAD
  PyObject *__pyx_v_maxout;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nP;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nX;
  PyObject *__pyx_v_nonlocals;
  PyObject *__pyx_v_normalize;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_iter;
};



/* "cymem/cymem.pxd":1
 * cdef class Pool:             # <<<<<<<<<<<<<<
 *     cdef readonly size_t size
 *     cdef readonly dict addresses
 */

struct __pyx_vtabstruct_5cymem_5cymem_Pool {
  void *(*alloc)(struct __pyx_obj_5cymem_5cymem_Pool *, size_t, size_t);
  void (*free)(struct __pyx_obj_5cymem_5cymem_Pool *, void *);
  void *(*realloc)(struct __pyx_obj_5cymem_5cymem_Pool *, void *, size_t);
};
static struct __pyx_vtabstruct_5cymem_5cymem_Pool *__pyx_vtabptr_5cymem_5cymem_Pool;


/* "linalg.pxd":29
 * 
 * 
 * cdef class Vec:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:
 */

struct __pyx_vtabstruct_5thinc_6linalg_Vec {
  int (*arg_max)(__pyx_t_5thinc_8typedefs_weight_t const *, int const );
  __pyx_t_5thinc_8typedefs_weight_t (*max)(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  __pyx_t_5thinc_8typedefs_weight_t (*sum)(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  __pyx_t_5thinc_8typedefs_weight_t (*norm)(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  void (*add)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*add_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*mul)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*mul_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*pow)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*pow_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const , int32_t);
  void (*div)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*div_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const , int32_t);
  void (*exp)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  void (*exp_i)(__pyx_t_5thinc_8typedefs_weight_t *, int32_t);
  void (*reciprocal_i)(__pyx_t_5thinc_8typedefs_weight_t *, int32_t);
  __pyx_t_5thinc_8typedefs_weight_t (*mean)(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  __pyx_t_5thinc_8typedefs_weight_t (*variance)(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
};
static struct __pyx_vtabstruct_5thinc_6linalg_Vec *__pyx_vtabptr_5thinc_6linalg_Vec;
static CYTHON_INLINE int __pyx_f_5thinc_6linalg_3Vec_arg_max(__pyx_t_5thinc_8typedefs_weight_t const *, int const );
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_max(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_sum(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_norm(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_add(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_add_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_mul(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_pow(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_pow_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const , int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_div(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_div_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const , int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_exp(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_exp_i(__pyx_t_5thinc_8typedefs_weight_t *, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_reciprocal_i(__pyx_t_5thinc_8typedefs_weight_t *, int32_t);
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_mean(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_variance(__pyx_t_5thinc_8typedefs_weight_t const *, int32_t);


/* "linalg.pxd":158
 * 
 * 
 * cdef class VecVec:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void add(weight_t* output,
 */

struct __pyx_vtabstruct_5thinc_6linalg_VecVec {
  void (*add)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*add_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*batch_add_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t, int32_t);
  void (*add_pow)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*add_pow_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
  void (*mul)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  void (*mul_i)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  __pyx_t_5thinc_8typedefs_weight_t (*dot)(__pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
  int (*arg_max_if_true)(__pyx_t_5thinc_8typedefs_weight_t const *, int const *, int const );
  int (*arg_max_if_zero)(__pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int const );
};
static struct __pyx_vtabstruct_5thinc_6linalg_VecVec *__pyx_vtabptr_5thinc_6linalg_VecVec;
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_batch_add_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_pow(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_pow_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_mul(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_6VecVec_dot(__pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t);
static CYTHON_INLINE int __pyx_f_5thinc_6linalg_6VecVec_arg_max_if_true(__pyx_t_5thinc_8typedefs_weight_t const *, int const *, int const );
static CYTHON_INLINE int __pyx_f_5thinc_6linalg_6VecVec_arg_max_if_zero(__pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int const );


/* "linalg.pxd":250
 * 
 * 
 * cdef class Mat:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void mean_row(weight_t* Ex,
 */

struct __pyx_vtabstruct_5thinc_6linalg_Mat {
  void (*mean_row)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
  void (*var_row)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t, __pyx_t_5thinc_8typedefs_weight_t);
};
static struct __pyx_vtabstruct_5thinc_6linalg_Mat *__pyx_vtabptr_5thinc_6linalg_Mat;
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Mat_mean_row(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Mat_var_row(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t, __pyx_t_5thinc_8typedefs_weight_t);


/* "linalg.pxd":278
 * 
 * 
 * cdef class MatVec:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void add_i(weight_t* mat,
 */

struct __pyx_vtabstruct_5thinc_6linalg_MatVec {
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  void (*dot)(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
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static struct __pyx_vtabstruct_5thinc_6linalg_MatVec *__pyx_vtabptr_5thinc_6linalg_MatVec;
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_add_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_mul(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_dot(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_batch_dot(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_T_dot(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_batch_T_dot(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t, int32_t);


/* "linalg.pxd":407
 * 
 * 
 * cdef class MatMat:             # <<<<<<<<<<<<<<
 *     @staticmethod
 *     cdef inline void add(weight_t* output,
 */

struct __pyx_vtabstruct_5thinc_6linalg_MatMat {
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static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_mul(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_mul_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add_outer_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t);
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_batch_add_outer_i(__pyx_t_5thinc_8typedefs_weight_t *, __pyx_t_5thinc_8typedefs_weight_t const *, __pyx_t_5thinc_8typedefs_weight_t const *, int32_t, int32_t, int32_t);

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#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);
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static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
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/* IncludeStringH.proto */
#include <string.h>

/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
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/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
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#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
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/* SetupReduce.proto */
static int __Pyx_setup_reduce(PyObject* type_obj);

/* GetVTable.proto */
static void* __Pyx_GetVtable(PyObject *dict);

/* 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)
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static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
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/* CodeObjectCache.proto */
typedef struct {
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struct __Pyx_CodeObjectCache {
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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,
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/* 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_int32_t(int32_t value);

/* RealImag.proto */
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    #define __Pyx_CREAL(z) ((z).real())
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    #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
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/* Arithmetic.proto */
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    #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)
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    #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))
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 #endif
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    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);
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/* 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))
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  #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))
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    #define __Pyx_c_is_zero_double(z) ((z)==0)
    #define __Pyx_c_conj_double(z)    (conj(z))
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        #define __Pyx_c_abs_double(z)     (cabs(z))
        #define __Pyx_c_pow_double(a, b)  (cpow(a, b))
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 #endif
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    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);
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/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);

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

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

/* CIntFromPy.proto */
static CYTHON_INLINE int32_t __Pyx_PyInt_As_int32_t(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);
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#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))
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/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);

/* PyIdentifierFromString.proto */
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#if PY_MAJOR_VERSION < 3
  #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
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/* ModuleImport.proto */
static PyObject *__Pyx_ImportModule(const char *name);

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

/* 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);

static CYTHON_INLINE int __pyx_f_5thinc_6linalg_3Vec_arg_max(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_scores, int const __pyx_v_n_classes); /* proto*/
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_max(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_sum(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_norm(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_add(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_inc, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_inc, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_pow(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_pow_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t const __pyx_v_scal, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_div(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_div_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t const __pyx_v_scal, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_exp(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_exp_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_reciprocal_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_mean(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_X, int32_t __pyx_v_nr_dim); /* proto*/
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_variance(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_X, int32_t __pyx_v_nr_dim); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_batch_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr, int32_t __pyx_v_nr_batch); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_pow(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_power, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_pow_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_power, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_6VecVec_dot(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr); /* proto*/
static CYTHON_INLINE int __pyx_f_5thinc_6linalg_6VecVec_arg_max_if_true(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_scores, int const *__pyx_v_is_valid, int const __pyx_v_n_classes); /* proto*/
static CYTHON_INLINE int __pyx_f_5thinc_6linalg_6VecVec_arg_max_if_zero(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_scores, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_costs, int const __pyx_v_n_classes); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Mat_mean_row(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_Ex, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Mat_var_row(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_Vx, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_Ex, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_eps); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_batch_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, int32_t __pyx_v_nr_batch); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_T_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_batch_T_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, int32_t __pyx_v_nr_batch); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add_outer_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col); /* proto*/
static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_batch_add_outer_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, int32_t __pyx_v_nr_batch); /* proto*/

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

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

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

/* Module declarations from 'cymem.cymem' */
static PyTypeObject *__pyx_ptype_5cymem_5cymem_Pool = 0;
static PyTypeObject *__pyx_ptype_5cymem_5cymem_Address = 0;

/* Module declarations from 'libcpp.vector' */

/* Module declarations from 'cython' */

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

/* Module declarations from 'thinc.typedefs' */

/* Module declarations from 'thinc.linalg' */
static PyTypeObject *__pyx_ptype_5thinc_6linalg_Matrix = 0;
static PyTypeObject *__pyx_ptype_5thinc_6linalg_Vec = 0;
static PyTypeObject *__pyx_ptype_5thinc_6linalg_VecVec = 0;
static PyTypeObject *__pyx_ptype_5thinc_6linalg_Mat = 0;
static PyTypeObject *__pyx_ptype_5thinc_6linalg_MatVec = 0;
static PyTypeObject *__pyx_ptype_5thinc_6linalg_MatMat = 0;

/* Module declarations from 'thinc' */

/* Module declarations from 'thinc.openblas' */
static void (*__pyx_f_5thinc_8openblas_simple_gemm)(float *, int, int, float const *, int, int, float const *, int, int, int, int); /*proto*/
static void (*__pyx_f_5thinc_8openblas_simple_axpy)(float *, int, float const *, float); /*proto*/

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

/* 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 'thinc.neural._fast_maxout_cnn' */
static PyTypeObject *__pyx_ptype_5thinc_6neural_16_fast_maxout_cnn__Activations = 0;
static PyTypeObject *__pyx_ptype_5thinc_6neural_16_fast_maxout_cnn__Weights = 0;
static PyTypeObject *__pyx_ptype_5thinc_6neural_16_fast_maxout_cnn___pyx_scope_struct__MaxoutWindowEncoder = 0;
static PyTypeObject *__pyx_ptype_5thinc_6neural_16_fast_maxout_cnn___pyx_scope_struct_1__mwe_fwd = 0;
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_mwe_forward(float *, float *, float *, float *, float *, float *, int *, float const *, float const *, float const *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_mwe_backward(float *, float *, float *, float *, float *, float *, float *, float *, float *, float *, int const *, float const *, float const *, float const *, float const *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_seq2col(float *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_seq2col(float *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_affine(float *, float const *, float const *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_affine(float *, float *, float *, float const *, float const *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_maxpool(float *, int *, float const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_maxpool(float *, float const *, int const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_layer_norm(__pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_layer_norm(__pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t const *, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_rescale(float *, float const *, float const *, int, int); /*proto*/
static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_rescale(float *, float *, float *, float const *, float const *, float const *, int, int); /*proto*/
#define __Pyx_MODULE_NAME "thinc.neural._fast_maxout_cnn"
extern int __pyx_module_is_main_thinc__neural___fast_maxout_cnn;
int __pyx_module_is_main_thinc__neural___fast_maxout_cnn = 0;

/* Implementation of 'thinc.neural._fast_maxout_cnn' */
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_builtin_ImportError;
static const char __pyx_k_G[] = "G";
static const char __pyx_k_W[] = "W";
static const char __pyx_k_X[] = "X";
static const char __pyx_k_b[] = "b";
static const char __pyx_k_f[] = "f";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_x[] = "x";
static const char __pyx_k_Xs[] = "Xs";
static const char __pyx_k_dW[] = "dW";
static const char __pyx_k_dX[] = "dX";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_nO[] = "nO";
static const char __pyx_k_nP[] = "nP";
static const char __pyx_k_nX[] = "nX";
static const char __pyx_k_api[] = "api";
static const char __pyx_k_d_G[] = "d_G";
static const char __pyx_k_d_W[] = "d_W";
static const char __pyx_k_d_b[] = "d_b";
static const char __pyx_k_key[] = "key";
static const char __pyx_k_mem[] = "_mem";
static const char __pyx_k_ops[] = "ops";
static const char __pyx_k_sgd[] = "sgd";
static const char __pyx_k_syn[] = "syn";
static const char __pyx_k_bias[] = "bias";
static const char __pyx_k_drop[] = "drop";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_name[] = "__name__";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_wrap[] = "wrap";
static const char __pyx_k_dtype[] = "dtype";
static const char __pyx_k_model[] = "model";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_scale[] = "scale";
static const char __pyx_k_shift[] = "shift";
static const char __pyx_k_zeros[] = "zeros";
static const char __pyx_k_Maxout[] = "Maxout";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_inputs[] = "inputs";
static const char __pyx_k_maxout[] = "maxout";
static const char __pyx_k_pieces[] = "pieces";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_asarray[] = "asarray";
static const char __pyx_k_lengths[] = "lengths";
static const char __pyx_k_mwe_bwd[] = "mwe_bwd";
static const char __pyx_k_mwe_fwd[] = "_mwe_fwd";
static const char __pyx_k_nr_iter[] = "nr_iter";
static const char __pyx_k_nr_unit[] = "nr_unit";
static const char __pyx_k_weights[] = "weights";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_gradient[] = "gradient";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_LayerNorm[] = "LayerNorm";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_d_outputs[] = "d_outputs";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_mwe_fwd_2[] = "mwe_fwd";
static const char __pyx_k_nonlocals[] = "nonlocals";
static const char __pyx_k_normalize[] = "normalize";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_set_inputs[] = "set_inputs";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_get_outputs[] = "get_outputs";
static const char __pyx_k_RuntimeError[] = "RuntimeError";
static const char __pyx_k_get_d_inputs[] = "get_d_inputs";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_set_d_outputs[] = "set_d_outputs";
static const char __pyx_k_classes_maxout[] = "_classes.maxout";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_classes_layernorm[] = "_classes.layernorm";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_MaxoutWindowEncoder[] = "MaxoutWindowEncoder";
static const char __pyx_k_fast_maxout_cnn_pyx[] = "_fast_maxout_cnn.pyx";
static const char __pyx_k_mwe_fwd_locals_mwe_bwd[] = "_mwe_fwd.<locals>.mwe_bwd";
static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
static const char __pyx_k_thinc_neural__fast_maxout_cnn[] = "thinc.neural._fast_maxout_cnn";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_self_bias_self_scale_self_shift[] = "self.bias,self.scale,self.shift,self.syn cannot be converted to a Python object for pickling";
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_MaxoutWindowEncoder_locals_mwe_f[] = "MaxoutWindowEncoder.<locals>.mwe_fwd";
static const char __pyx_k_MaxoutWindow_encoder_doesn_t_sup[] = "MaxoutWindow encoder doesn't support dropout yet";
static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
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_self_a_self_b_self_c_self_d_self[] = "self.a,self.b,self.c,self.d,self.e,self.f,self.lengths,self.which cannot be converted to a Python object for pickling";
static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
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_G;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_n_s_LayerNorm;
static PyObject *__pyx_n_s_Maxout;
static PyObject *__pyx_n_s_MaxoutWindowEncoder;
static PyObject *__pyx_n_s_MaxoutWindowEncoder_locals_mwe_f;
static PyObject *__pyx_kp_s_MaxoutWindow_encoder_doesn_t_sup;
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
static PyObject *__pyx_n_s_RuntimeError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_W;
static PyObject *__pyx_n_s_X;
static PyObject *__pyx_n_s_Xs;
static PyObject *__pyx_n_s_api;
static PyObject *__pyx_n_s_asarray;
static PyObject *__pyx_n_s_b;
static PyObject *__pyx_n_s_bias;
static PyObject *__pyx_n_s_classes_layernorm;
static PyObject *__pyx_n_s_classes_maxout;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_dW;
static PyObject *__pyx_n_s_dX;
static PyObject *__pyx_n_s_d_G;
static PyObject *__pyx_n_s_d_W;
static PyObject *__pyx_n_s_d_b;
static PyObject *__pyx_n_s_d_outputs;
static PyObject *__pyx_n_s_drop;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_f;
static PyObject *__pyx_kp_s_fast_maxout_cnn_pyx;
static PyObject *__pyx_n_s_get_d_inputs;
static PyObject *__pyx_n_s_get_outputs;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_n_s_gradient;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_inputs;
static PyObject *__pyx_n_s_key;
static PyObject *__pyx_n_s_lengths;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_maxout;
static PyObject *__pyx_n_s_mem;
static PyObject *__pyx_n_s_model;
static PyObject *__pyx_n_s_mwe_bwd;
static PyObject *__pyx_n_s_mwe_fwd;
static PyObject *__pyx_n_s_mwe_fwd_2;
static PyObject *__pyx_n_s_mwe_fwd_locals_mwe_bwd;
static PyObject *__pyx_n_s_nO;
static PyObject *__pyx_n_s_nP;
static PyObject *__pyx_n_s_nX;
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_nonlocals;
static PyObject *__pyx_n_s_normalize;
static PyObject *__pyx_n_s_nr_iter;
static PyObject *__pyx_n_s_nr_unit;
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_ops;
static PyObject *__pyx_n_s_pieces;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_n_s_scale;
static PyObject *__pyx_kp_s_self_a_self_b_self_c_self_d_self;
static PyObject *__pyx_kp_s_self_bias_self_scale_self_shift;
static PyObject *__pyx_n_s_set_d_outputs;
static PyObject *__pyx_n_s_set_inputs;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_sgd;
static PyObject *__pyx_n_s_shift;
static PyObject *__pyx_n_s_syn;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_thinc_neural__fast_maxout_cnn;
static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
static PyObject *__pyx_n_s_weights;
static PyObject *__pyx_n_s_wrap;
static PyObject *__pyx_n_s_x;
static PyObject *__pyx_n_s_zeros;
static int __pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations___init__(struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self, PyObject *__pyx_v_lengths, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nP, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_iter, CYTHON_UNUSED PyObject *__pyx_v_gradient); /* proto */
static PyObject *__pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations_2set_inputs(struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self, PyObject *__pyx_v_Xs); /* proto */
static PyObject *__pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations_4get_d_inputs(struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations_6set_d_outputs(struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self, PyObject *__pyx_v_dXs); /* proto */
static PyObject *__pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations_8get_outputs(struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations_10__reduce_cython__(CYTHON_UNUSED struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5thinc_6neural_16_fast_maxout_cnn_12_Activations_12__setstate_cython__(CYTHON_UNUSED struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Activations *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_pf_5thinc_6neural_16_fast_maxout_cnn_8_Weights___init__(struct __pyx_obj_5thinc_6neural_16_fast_maxout_cnn__Weights *__pyx_v_self, PyArrayObject *__pyx_v_syn, PyArrayObject *__pyx_v_bias, PyArrayObject *__pyx_v_scale, PyArrayObject *__pyx_v_shift); /* proto */
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    /* "thinc/neural/_fast_maxout_cnn.pyx":229
 *         Xd += nO*nN
 *         Xe += nO*nN
 *         which += nO*nN             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_v_which = (__pyx_v_which + (__pyx_v_nO * __pyx_v_nN));
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":204
 * 
 * 
 * cdef void mwe_forward(float* Xa, float* Xb, float* Xc, float* Xd, float* Xe, float* Xf, int* which,             # <<<<<<<<<<<<<<
 *         const float* syn, const float* bias, const float* scale, const float* shift,
 *         dim_t nO, dim_t nP, dim_t nN, dim_t nr_iter) nogil:
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":232
 * 
 * 
 * cdef void mwe_backward(             # <<<<<<<<<<<<<<
 *         float* dXa, float* dXb, float* dXc, float* dXd, float* dXe, float* dXf,
 *         float* dW_syn, float* dW_bias, float* dW_scale, float* dW_shift,
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_mwe_backward(float *__pyx_v_dXa, float *__pyx_v_dXb, float *__pyx_v_dXc, float *__pyx_v_dXd, float *__pyx_v_dXe, float *__pyx_v_dXf, float *__pyx_v_dW_syn, float *__pyx_v_dW_bias, float *__pyx_v_dW_scale, float *__pyx_v_dW_shift, int const *__pyx_v_which, float const *__pyx_v_Xb, float const *__pyx_v_Xd, float const *__pyx_v_Xe, float const *__pyx_v_W_syn, float const *__pyx_v_W_scale, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nP, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nN, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_iter) {
  CYTHON_UNUSED long __pyx_v_i;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  long __pyx_t_3;

  /* "thinc/neural/_fast_maxout_cnn.pyx":238
 *             const float* W_syn, const float* W_scale,
 *             dim_t nO, dim_t nP, dim_t nN, dim_t nr_iter) nogil:
 *     for i in range(nr_iter):             # <<<<<<<<<<<<<<
 *         which += nO*nN
 *         Xb += nO*3*nN
 */
  __pyx_t_1 = __pyx_v_nr_iter;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":239
 *             dim_t nO, dim_t nP, dim_t nN, dim_t nr_iter) nogil:
 *     for i in range(nr_iter):
 *         which += nO*nN             # <<<<<<<<<<<<<<
 *         Xb += nO*3*nN
 *         Xd += nO*nN
 */
    __pyx_v_which = (__pyx_v_which + (__pyx_v_nO * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":240
 *     for i in range(nr_iter):
 *         which += nO*nN
 *         Xb += nO*3*nN             # <<<<<<<<<<<<<<
 *         Xd += nO*nN
 *         Xe += nO*nN
 */
    __pyx_v_Xb = (__pyx_v_Xb + ((__pyx_v_nO * 3) * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":241
 *         which += nO*nN
 *         Xb += nO*3*nN
 *         Xd += nO*nN             # <<<<<<<<<<<<<<
 *         Xe += nO*nN
 *     for i in range(nr_iter-1, -1, -1):
 */
    __pyx_v_Xd = (__pyx_v_Xd + (__pyx_v_nO * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":242
 *         Xb += nO*3*nN
 *         Xd += nO*nN
 *         Xe += nO*nN             # <<<<<<<<<<<<<<
 *     for i in range(nr_iter-1, -1, -1):
 *         which -= nO*nN
 */
    __pyx_v_Xe = (__pyx_v_Xe + (__pyx_v_nO * __pyx_v_nN));
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":243
 *         Xd += nO*nN
 *         Xe += nO*nN
 *     for i in range(nr_iter-1, -1, -1):             # <<<<<<<<<<<<<<
 *         which -= nO*nN
 *         Xb -= nO*3*nN
 */
  for (__pyx_t_3 = (__pyx_v_nr_iter - 1); __pyx_t_3 > -1L; __pyx_t_3-=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":244
 *         Xe += nO*nN
 *     for i in range(nr_iter-1, -1, -1):
 *         which -= nO*nN             # <<<<<<<<<<<<<<
 *         Xb -= nO*3*nN
 *         Xd -= nO*nN
 */
    __pyx_v_which = (__pyx_v_which - (__pyx_v_nO * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":245
 *     for i in range(nr_iter-1, -1, -1):
 *         which -= nO*nN
 *         Xb -= nO*3*nN             # <<<<<<<<<<<<<<
 *         Xd -= nO*nN
 *         Xe -= nO*nN
 */
    __pyx_v_Xb = (__pyx_v_Xb - ((__pyx_v_nO * 3) * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":246
 *         which -= nO*nN
 *         Xb -= nO*3*nN
 *         Xd -= nO*nN             # <<<<<<<<<<<<<<
 *         Xe -= nO*nN
 * 
 */
    __pyx_v_Xd = (__pyx_v_Xd - (__pyx_v_nO * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":247
 *         Xb -= nO*3*nN
 *         Xd -= nO*nN
 *         Xe -= nO*nN             # <<<<<<<<<<<<<<
 * 
 *         bwd_rescale(dXe, dW_scale, dW_shift,
 */
    __pyx_v_Xe = (__pyx_v_Xe - (__pyx_v_nO * __pyx_v_nN));

    /* "thinc/neural/_fast_maxout_cnn.pyx":249
 *         Xe -= nO*nN
 * 
 *         bwd_rescale(dXe, dW_scale, dW_shift,             # <<<<<<<<<<<<<<
 *             dXf, Xe, W_scale, nO, nN)
 *         bwd_layer_norm(dXd,
 */
    __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_rescale(__pyx_v_dXe, __pyx_v_dW_scale, __pyx_v_dW_shift, __pyx_v_dXf, __pyx_v_Xe, __pyx_v_W_scale, __pyx_v_nO, __pyx_v_nN);

    /* "thinc/neural/_fast_maxout_cnn.pyx":251
 *         bwd_rescale(dXe, dW_scale, dW_shift,
 *             dXf, Xe, W_scale, nO, nN)
 *         bwd_layer_norm(dXd,             # <<<<<<<<<<<<<<
 *             dXe, Xd, nO, nN)
 *         bwd_maxpool(dXc,
 */
    __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_layer_norm(__pyx_v_dXd, __pyx_v_dXe, __pyx_v_Xd, __pyx_v_nO, __pyx_v_nN);

    /* "thinc/neural/_fast_maxout_cnn.pyx":253
 *         bwd_layer_norm(dXd,
 *             dXe, Xd, nO, nN)
 *         bwd_maxpool(dXc,             # <<<<<<<<<<<<<<
 *             dXd, which, nO, nP, nN)
 *         bwd_affine(dXb, dW_syn, dW_bias,
 */
    __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_maxpool(__pyx_v_dXc, __pyx_v_dXd, __pyx_v_which, __pyx_v_nO, __pyx_v_nP, __pyx_v_nN);

    /* "thinc/neural/_fast_maxout_cnn.pyx":255
 *         bwd_maxpool(dXc,
 *             dXd, which, nO, nP, nN)
 *         bwd_affine(dXb, dW_syn, dW_bias,             # <<<<<<<<<<<<<<
 *             dXc, Xb, W_syn, nO*nP, nO*3, nN)
 *         bwd_seq2col(dXa,
 */
    __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_affine(__pyx_v_dXb, __pyx_v_dW_syn, __pyx_v_dW_bias, __pyx_v_dXc, __pyx_v_Xb, __pyx_v_W_syn, (__pyx_v_nO * __pyx_v_nP), (__pyx_v_nO * 3), __pyx_v_nN);

    /* "thinc/neural/_fast_maxout_cnn.pyx":257
 *         bwd_affine(dXb, dW_syn, dW_bias,
 *             dXc, Xb, W_syn, nO*nP, nO*3, nN)
 *         bwd_seq2col(dXa,             # <<<<<<<<<<<<<<
 *             dXb, 1, nO, nN)
 *         VecVec.add_i(dXa,
 */
    __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_seq2col(__pyx_v_dXa, __pyx_v_dXb, 1, __pyx_v_nO, __pyx_v_nN);

    /* "thinc/neural/_fast_maxout_cnn.pyx":259
 *         bwd_seq2col(dXa,
 *             dXb, 1, nO, nN)
 *         VecVec.add_i(dXa,             # <<<<<<<<<<<<<<
 *             dXf, 1., nN * nO)
 * 
 */
    __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_dXa, __pyx_v_dXf, 1., (__pyx_v_nN * __pyx_v_nO));

    /* "thinc/neural/_fast_maxout_cnn.pyx":262
 *             dXf, 1., nN * nO)
 * 
 *         memcpy(dXf, dXa, nO*nN*sizeof(float))             # <<<<<<<<<<<<<<
 * 
 * 
 */
    (void)(memcpy(__pyx_v_dXf, __pyx_v_dXa, ((__pyx_v_nO * __pyx_v_nN) * (sizeof(float)))));
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":232
 * 
 * 
 * cdef void mwe_backward(             # <<<<<<<<<<<<<<
 *         float* dXa, float* dXb, float* dXc, float* dXd, float* dXe, float* dXf,
 *         float* dW_syn, float* dW_bias, float* dW_scale, float* dW_shift,
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":265
 * 
 * 
 * cdef void seq2col(float* Xb,             # <<<<<<<<<<<<<<
 *         const float* Xa, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     cdef dim_t nF = nW * 2 + 1
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_seq2col(float *__pyx_v_Xb, float const *__pyx_v_Xa, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nW, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nI, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nN) {
  CYTHON_UNUSED __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nF;
  CYTHON_UNUSED __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;

  /* "thinc/neural/_fast_maxout_cnn.pyx":267
 * cdef void seq2col(float* Xb,
 *         const float* Xa, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     cdef dim_t nF = nW * 2 + 1             # <<<<<<<<<<<<<<
 *     Xb += nW * nI
 *     cdef dim_t i
 */
  __pyx_v_nF = ((__pyx_v_nW * 2) + 1);

  /* "thinc/neural/_fast_maxout_cnn.pyx":268
 *         const float* Xa, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     cdef dim_t nF = nW * 2 + 1
 *     Xb += nW * nI             # <<<<<<<<<<<<<<
 *     cdef dim_t i
 *     for i in range(nN-nW):
 */
  __pyx_v_Xb = (__pyx_v_Xb + (__pyx_v_nW * __pyx_v_nI));

  /* "thinc/neural/_fast_maxout_cnn.pyx":270
 *     Xb += nW * nI
 *     cdef dim_t i
 *     for i in range(nN-nW):             # <<<<<<<<<<<<<<
 *         memcpy(Xb,
 *             Xa, nI * (nW+1) * sizeof(Xb[0]))
 */
  __pyx_t_1 = (__pyx_v_nN - __pyx_v_nW);
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":271
 *     cdef dim_t i
 *     for i in range(nN-nW):
 *         memcpy(Xb,             # <<<<<<<<<<<<<<
 *             Xa, nI * (nW+1) * sizeof(Xb[0]))
 *         Xb += nI * (nW+1)
 */
    (void)(memcpy(__pyx_v_Xb, __pyx_v_Xa, ((__pyx_v_nI * (__pyx_v_nW + 1)) * (sizeof((__pyx_v_Xb[0]))))));

    /* "thinc/neural/_fast_maxout_cnn.pyx":273
 *         memcpy(Xb,
 *             Xa, nI * (nW+1) * sizeof(Xb[0]))
 *         Xb += nI * (nW+1)             # <<<<<<<<<<<<<<
 *         memcpy(Xb,
 *             Xa, nI * nW * sizeof(Xb[0]))
 */
    __pyx_v_Xb = (__pyx_v_Xb + (__pyx_v_nI * (__pyx_v_nW + 1)));

    /* "thinc/neural/_fast_maxout_cnn.pyx":274
 *             Xa, nI * (nW+1) * sizeof(Xb[0]))
 *         Xb += nI * (nW+1)
 *         memcpy(Xb,             # <<<<<<<<<<<<<<
 *             Xa, nI * nW * sizeof(Xb[0]))
 *         Xb += nI * nW
 */
    (void)(memcpy(__pyx_v_Xb, __pyx_v_Xa, ((__pyx_v_nI * __pyx_v_nW) * (sizeof((__pyx_v_Xb[0]))))));

    /* "thinc/neural/_fast_maxout_cnn.pyx":276
 *         memcpy(Xb,
 *             Xa, nI * nW * sizeof(Xb[0]))
 *         Xb += nI * nW             # <<<<<<<<<<<<<<
 *         Xa += nI
 *     memcpy(Xb,
 */
    __pyx_v_Xb = (__pyx_v_Xb + (__pyx_v_nI * __pyx_v_nW));

    /* "thinc/neural/_fast_maxout_cnn.pyx":277
 *             Xa, nI * nW * sizeof(Xb[0]))
 *         Xb += nI * nW
 *         Xa += nI             # <<<<<<<<<<<<<<
 *     memcpy(Xb,
 *         Xa, nI * nW * sizeof(Xb[0]))
 */
    __pyx_v_Xa = (__pyx_v_Xa + __pyx_v_nI);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":278
 *         Xb += nI * nW
 *         Xa += nI
 *     memcpy(Xb,             # <<<<<<<<<<<<<<
 *         Xa, nI * nW * sizeof(Xb[0]))
 * 
 */
  (void)(memcpy(__pyx_v_Xb, __pyx_v_Xa, ((__pyx_v_nI * __pyx_v_nW) * (sizeof((__pyx_v_Xb[0]))))));

  /* "thinc/neural/_fast_maxout_cnn.pyx":265
 * 
 * 
 * cdef void seq2col(float* Xb,             # <<<<<<<<<<<<<<
 *         const float* Xa, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     cdef dim_t nF = nW * 2 + 1
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":282
 * 
 * 
 * cdef void bwd_seq2col(float* dXa,             # <<<<<<<<<<<<<<
 *         const float* dXb, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     memset(dXa, 0, nI*nN*sizeof(float))
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_seq2col(float *__pyx_v_dXa, float const *__pyx_v_dXb, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nW, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nI, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nN) {
  long __pyx_v_nF;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  float *__pyx_v_seq_row;
  float const *__pyx_v_col_row;
  long __pyx_v_f;
  float const *__pyx_v_feat;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;
  long __pyx_t_4;
  long __pyx_t_5;
  long __pyx_t_6;
  long __pyx_t_7;
  int __pyx_t_8;
  int __pyx_t_9;

  /* "thinc/neural/_fast_maxout_cnn.pyx":284
 * cdef void bwd_seq2col(float* dXa,
 *         const float* dXb, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     memset(dXa, 0, nI*nN*sizeof(float))             # <<<<<<<<<<<<<<
 *     # Here's what we're doing, if we had 2d indexing.
 *     #for i in range(B):
 */
  (void)(memset(__pyx_v_dXa, 0, ((__pyx_v_nI * __pyx_v_nN) * (sizeof(float)))));

  /* "thinc/neural/_fast_maxout_cnn.pyx":292
 *     #    d_seq[i] += d_cols[i+1, 1]
 *     #    d_seq[i] += d_cols[i, 2]
 *     nF = nW * 2 + 1             # <<<<<<<<<<<<<<
 *     for i in range(nN):
 *         seq_row = &dXa[i * nI]
 */
  __pyx_v_nF = ((__pyx_v_nW * 2) + 1);

  /* "thinc/neural/_fast_maxout_cnn.pyx":293
 *     #    d_seq[i] += d_cols[i, 2]
 *     nF = nW * 2 + 1
 *     for i in range(nN):             # <<<<<<<<<<<<<<
 *         seq_row = &dXa[i * nI]
 *         col_row = &dXb[i * nI * nF]
 */
  __pyx_t_1 = __pyx_v_nN;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":294
 *     nF = nW * 2 + 1
 *     for i in range(nN):
 *         seq_row = &dXa[i * nI]             # <<<<<<<<<<<<<<
 *         col_row = &dXb[i * nI * nF]
 *         for f in range(-nW, nW+1):
 */
    __pyx_v_seq_row = (&(__pyx_v_dXa[(__pyx_v_i * __pyx_v_nI)]));

    /* "thinc/neural/_fast_maxout_cnn.pyx":295
 *     for i in range(nN):
 *         seq_row = &dXa[i * nI]
 *         col_row = &dXb[i * nI * nF]             # <<<<<<<<<<<<<<
 *         for f in range(-nW, nW+1):
 *             if nN > (i+f) >= 0:
 */
    __pyx_v_col_row = (&(__pyx_v_dXb[((__pyx_v_i * __pyx_v_nI) * __pyx_v_nF)]));

    /* "thinc/neural/_fast_maxout_cnn.pyx":296
 *         seq_row = &dXa[i * nI]
 *         col_row = &dXb[i * nI * nF]
 *         for f in range(-nW, nW+1):             # <<<<<<<<<<<<<<
 *             if nN > (i+f) >= 0:
 *                 feat = col_row + (f * nI)
 */
    __pyx_t_4 = (__pyx_v_nW + 1);
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = (-__pyx_v_nW); __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_f = __pyx_t_6;

      /* "thinc/neural/_fast_maxout_cnn.pyx":297
 *         col_row = &dXb[i * nI * nF]
 *         for f in range(-nW, nW+1):
 *             if nN > (i+f) >= 0:             # <<<<<<<<<<<<<<
 *                 feat = col_row + (f * nI)
 *                 VecVec.add_i(seq_row, &feat[(f+nW) * nI], 1., nI)
 */
      __pyx_t_7 = (__pyx_v_i + __pyx_v_f);
      __pyx_t_8 = (__pyx_v_nN > __pyx_t_7);
      if (__pyx_t_8) {
        __pyx_t_8 = (__pyx_t_7 >= 0);
      }
      __pyx_t_9 = (__pyx_t_8 != 0);
      if (__pyx_t_9) {

        /* "thinc/neural/_fast_maxout_cnn.pyx":298
 *         for f in range(-nW, nW+1):
 *             if nN > (i+f) >= 0:
 *                 feat = col_row + (f * nI)             # <<<<<<<<<<<<<<
 *                 VecVec.add_i(seq_row, &feat[(f+nW) * nI], 1., nI)
 * 
 */
        __pyx_v_feat = (__pyx_v_col_row + (__pyx_v_f * __pyx_v_nI));

        /* "thinc/neural/_fast_maxout_cnn.pyx":299
 *             if nN > (i+f) >= 0:
 *                 feat = col_row + (f * nI)
 *                 VecVec.add_i(seq_row, &feat[(f+nW) * nI], 1., nI)             # <<<<<<<<<<<<<<
 * 
 * 
 */
        __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_seq_row, (&(__pyx_v_feat[((__pyx_v_f + __pyx_v_nW) * __pyx_v_nI)])), 1., __pyx_v_nI);

        /* "thinc/neural/_fast_maxout_cnn.pyx":297
 *         col_row = &dXb[i * nI * nF]
 *         for f in range(-nW, nW+1):
 *             if nN > (i+f) >= 0:             # <<<<<<<<<<<<<<
 *                 feat = col_row + (f * nI)
 *                 VecVec.add_i(seq_row, &feat[(f+nW) * nI], 1., nI)
 */
      }
    }
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":282
 * 
 * 
 * cdef void bwd_seq2col(float* dXa,             # <<<<<<<<<<<<<<
 *         const float* dXb, dim_t nW, dim_t nI, dim_t nN) nogil:
 *     memset(dXa, 0, nI*nN*sizeof(float))
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":302
 * 
 * 
 * cdef void affine(float* outputs,             # <<<<<<<<<<<<<<
 *         const float* inputs, const float* weights, const float* bias,
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_affine(float *__pyx_v_outputs, float const *__pyx_v_inputs, float const *__pyx_v_weights, float const *__pyx_v_bias, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nI, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nB) {
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;

  /* "thinc/neural/_fast_maxout_cnn.pyx":305
 *         const float* inputs, const float* weights, const float* bias,
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 *     openblas.simple_gemm(outputs,             # <<<<<<<<<<<<<<
 *         nB, nO, inputs, nB, nI, weights, nO, nI, 0, 1)
 *     for i in range(nB):
 */
  __pyx_f_5thinc_8openblas_simple_gemm(__pyx_v_outputs, __pyx_v_nB, __pyx_v_nO, __pyx_v_inputs, __pyx_v_nB, __pyx_v_nI, __pyx_v_weights, __pyx_v_nO, __pyx_v_nI, 0, 1);

  /* "thinc/neural/_fast_maxout_cnn.pyx":307
 *     openblas.simple_gemm(outputs,
 *         nB, nO, inputs, nB, nI, weights, nO, nI, 0, 1)
 *     for i in range(nB):             # <<<<<<<<<<<<<<
 *         openblas.simple_axpy(&outputs[i*nO], nO,
 *             bias, 1.)
 */
  __pyx_t_1 = __pyx_v_nB;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":308
 *         nB, nO, inputs, nB, nI, weights, nO, nI, 0, 1)
 *     for i in range(nB):
 *         openblas.simple_axpy(&outputs[i*nO], nO,             # <<<<<<<<<<<<<<
 *             bias, 1.)
 * 
 */
    __pyx_f_5thinc_8openblas_simple_axpy((&(__pyx_v_outputs[(__pyx_v_i * __pyx_v_nO)])), __pyx_v_nO, __pyx_v_bias, 1.);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":302
 * 
 * 
 * cdef void affine(float* outputs,             # <<<<<<<<<<<<<<
 *         const float* inputs, const float* weights, const float* bias,
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":312
 * 
 * 
 * cdef void bwd_affine(float* d_inputs, float* dW, float* db,             # <<<<<<<<<<<<<<
 *         const float* d_outputs, const float* inputs, const float* weights,
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_affine(float *__pyx_v_d_inputs, float *__pyx_v_dW, float *__pyx_v_db, float const *__pyx_v_d_outputs, float const *__pyx_v_inputs, float const *__pyx_v_weights, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nI, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nB) {
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;

  /* "thinc/neural/_fast_maxout_cnn.pyx":315
 *         const float* d_outputs, const float* inputs, const float* weights,
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 *     memset(d_inputs, 0, nB*nI*sizeof(float))             # <<<<<<<<<<<<<<
 *     for i in range(nB):
 *         openblas.simple_axpy(db, nO,
 */
  (void)(memset(__pyx_v_d_inputs, 0, ((__pyx_v_nB * __pyx_v_nI) * (sizeof(float)))));

  /* "thinc/neural/_fast_maxout_cnn.pyx":316
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 *     memset(d_inputs, 0, nB*nI*sizeof(float))
 *     for i in range(nB):             # <<<<<<<<<<<<<<
 *         openblas.simple_axpy(db, nO,
 *             &d_outputs[i*nO], 1.)
 */
  __pyx_t_1 = __pyx_v_nB;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":317
 *     memset(d_inputs, 0, nB*nI*sizeof(float))
 *     for i in range(nB):
 *         openblas.simple_axpy(db, nO,             # <<<<<<<<<<<<<<
 *             &d_outputs[i*nO], 1.)
 *     openblas.simple_gemm(dW, nO, nI,
 */
    __pyx_f_5thinc_8openblas_simple_axpy(__pyx_v_db, __pyx_v_nO, (&(__pyx_v_d_outputs[(__pyx_v_i * __pyx_v_nO)])), 1.);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":319
 *         openblas.simple_axpy(db, nO,
 *             &d_outputs[i*nO], 1.)
 *     openblas.simple_gemm(dW, nO, nI,             # <<<<<<<<<<<<<<
 *         d_outputs, nB, nO, inputs, nB, nI, 1, 0)
 *     openblas.simple_gemm(d_inputs, nB, nI,
 */
  __pyx_f_5thinc_8openblas_simple_gemm(__pyx_v_dW, __pyx_v_nO, __pyx_v_nI, __pyx_v_d_outputs, __pyx_v_nB, __pyx_v_nO, __pyx_v_inputs, __pyx_v_nB, __pyx_v_nI, 1, 0);

  /* "thinc/neural/_fast_maxout_cnn.pyx":321
 *     openblas.simple_gemm(dW, nO, nI,
 *         d_outputs, nB, nO, inputs, nB, nI, 1, 0)
 *     openblas.simple_gemm(d_inputs, nB, nI,             # <<<<<<<<<<<<<<
 *         d_outputs, nB, nO, weights, nO, nI, 0, 0)
 * 
 */
  __pyx_f_5thinc_8openblas_simple_gemm(__pyx_v_d_inputs, __pyx_v_nB, __pyx_v_nI, __pyx_v_d_outputs, __pyx_v_nB, __pyx_v_nO, __pyx_v_weights, __pyx_v_nO, __pyx_v_nI, 0, 0);

  /* "thinc/neural/_fast_maxout_cnn.pyx":312
 * 
 * 
 * cdef void bwd_affine(float* d_inputs, float* dW, float* db,             # <<<<<<<<<<<<<<
 *         const float* d_outputs, const float* inputs, const float* weights,
 *         dim_t nO, dim_t nI, dim_t nB) nogil:
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":325
 * 
 * 
 * cdef void maxpool(float* Xb, int* which,             # <<<<<<<<<<<<<<
 *         const float* Xa, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     cdef int j
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_maxpool(float *__pyx_v_Xb, int *__pyx_v_which, float const *__pyx_v_Xa, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nP, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nN) {
  int __pyx_v_j;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_w;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_4;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_5;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_6;
  int __pyx_t_7;

  /* "thinc/neural/_fast_maxout_cnn.pyx":328
 *         const float* Xa, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     cdef int j
 *     for w in range(nN):             # <<<<<<<<<<<<<<
 *         for i in range(nO):
 *             j = Vec.arg_max(&Xa[w*nO*nP+i*nP], nP)
 */
  __pyx_t_1 = __pyx_v_nN;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_w = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":329
 *     cdef int j
 *     for w in range(nN):
 *         for i in range(nO):             # <<<<<<<<<<<<<<
 *             j = Vec.arg_max(&Xa[w*nO*nP+i*nP], nP)
 *             Xb[w*nO+i] = Xa[w*nO*nP+i*nP+j]
 */
    __pyx_t_4 = __pyx_v_nO;
    __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;

      /* "thinc/neural/_fast_maxout_cnn.pyx":330
 *     for w in range(nN):
 *         for i in range(nO):
 *             j = Vec.arg_max(&Xa[w*nO*nP+i*nP], nP)             # <<<<<<<<<<<<<<
 *             Xb[w*nO+i] = Xa[w*nO*nP+i*nP+j]
 *             if which is not NULL:
 */
      __pyx_v_j = __pyx_f_5thinc_6linalg_3Vec_arg_max((&(__pyx_v_Xa[(((__pyx_v_w * __pyx_v_nO) * __pyx_v_nP) + (__pyx_v_i * __pyx_v_nP))])), __pyx_v_nP);

      /* "thinc/neural/_fast_maxout_cnn.pyx":331
 *         for i in range(nO):
 *             j = Vec.arg_max(&Xa[w*nO*nP+i*nP], nP)
 *             Xb[w*nO+i] = Xa[w*nO*nP+i*nP+j]             # <<<<<<<<<<<<<<
 *             if which is not NULL:
 *                 which[w*nO+i] = j
 */
      (__pyx_v_Xb[((__pyx_v_w * __pyx_v_nO) + __pyx_v_i)]) = (__pyx_v_Xa[((((__pyx_v_w * __pyx_v_nO) * __pyx_v_nP) + (__pyx_v_i * __pyx_v_nP)) + __pyx_v_j)]);

      /* "thinc/neural/_fast_maxout_cnn.pyx":332
 *             j = Vec.arg_max(&Xa[w*nO*nP+i*nP], nP)
 *             Xb[w*nO+i] = Xa[w*nO*nP+i*nP+j]
 *             if which is not NULL:             # <<<<<<<<<<<<<<
 *                 which[w*nO+i] = j
 * 
 */
      __pyx_t_7 = ((__pyx_v_which != NULL) != 0);
      if (__pyx_t_7) {

        /* "thinc/neural/_fast_maxout_cnn.pyx":333
 *             Xb[w*nO+i] = Xa[w*nO*nP+i*nP+j]
 *             if which is not NULL:
 *                 which[w*nO+i] = j             # <<<<<<<<<<<<<<
 * 
 * 
 */
        (__pyx_v_which[((__pyx_v_w * __pyx_v_nO) + __pyx_v_i)]) = __pyx_v_j;

        /* "thinc/neural/_fast_maxout_cnn.pyx":332
 *             j = Vec.arg_max(&Xa[w*nO*nP+i*nP], nP)
 *             Xb[w*nO+i] = Xa[w*nO*nP+i*nP+j]
 *             if which is not NULL:             # <<<<<<<<<<<<<<
 *                 which[w*nO+i] = j
 * 
 */
      }
    }
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":325
 * 
 * 
 * cdef void maxpool(float* Xb, int* which,             # <<<<<<<<<<<<<<
 *         const float* Xa, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     cdef int j
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":336
 * 
 * 
 * cdef void bwd_maxpool(float* dXa,             # <<<<<<<<<<<<<<
 *         const float* dXb, const int* which, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     for b in range(nN):
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_maxpool(float *__pyx_v_dXa, float const *__pyx_v_dXb, int const *__pyx_v_which, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nO, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nP, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nN) {
  CYTHON_UNUSED __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_b;
  CYTHON_UNUSED __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_o;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_4;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_5;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_6;

  /* "thinc/neural/_fast_maxout_cnn.pyx":338
 * cdef void bwd_maxpool(float* dXa,
 *         const float* dXb, const int* which, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     for b in range(nN):             # <<<<<<<<<<<<<<
 *         for o in range(nO):
 *             dXa[which[0]] = dXb[0]
 */
  __pyx_t_1 = __pyx_v_nN;
  __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;

    /* "thinc/neural/_fast_maxout_cnn.pyx":339
 *         const float* dXb, const int* which, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     for b in range(nN):
 *         for o in range(nO):             # <<<<<<<<<<<<<<
 *             dXa[which[0]] = dXb[0]
 *             dXa += nP
 */
    __pyx_t_4 = __pyx_v_nO;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_o = __pyx_t_6;

      /* "thinc/neural/_fast_maxout_cnn.pyx":340
 *     for b in range(nN):
 *         for o in range(nO):
 *             dXa[which[0]] = dXb[0]             # <<<<<<<<<<<<<<
 *             dXa += nP
 *             dXb += 1
 */
      (__pyx_v_dXa[(__pyx_v_which[0])]) = (__pyx_v_dXb[0]);

      /* "thinc/neural/_fast_maxout_cnn.pyx":341
 *         for o in range(nO):
 *             dXa[which[0]] = dXb[0]
 *             dXa += nP             # <<<<<<<<<<<<<<
 *             dXb += 1
 *             which += 1
 */
      __pyx_v_dXa = (__pyx_v_dXa + __pyx_v_nP);

      /* "thinc/neural/_fast_maxout_cnn.pyx":342
 *             dXa[which[0]] = dXb[0]
 *             dXa += nP
 *             dXb += 1             # <<<<<<<<<<<<<<
 *             which += 1
 * 
 */
      __pyx_v_dXb = (__pyx_v_dXb + 1);

      /* "thinc/neural/_fast_maxout_cnn.pyx":343
 *             dXa += nP
 *             dXb += 1
 *             which += 1             # <<<<<<<<<<<<<<
 * 
 * 
 */
      __pyx_v_which = (__pyx_v_which + 1);
    }
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":336
 * 
 * 
 * cdef void bwd_maxpool(float* dXa,             # <<<<<<<<<<<<<<
 *         const float* dXb, const int* which, dim_t nO, dim_t nP, dim_t nN) nogil:
 *     for b in range(nN):
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":346
 * 
 * 
 * cdef void layer_norm(real_t* X, dim_t nr_dim, dim_t nr_row) nogil:             # <<<<<<<<<<<<<<
 *     cdef double sqrt_var
 *     for i in range(nr_row):
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_layer_norm(__pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t *__pyx_v_X, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_dim, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_row) {
  double __pyx_v_sqrt_var;
  CYTHON_UNUSED __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_mu;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_v;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_j;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_6;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_7;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_8;

  /* "thinc/neural/_fast_maxout_cnn.pyx":348
 * cdef void layer_norm(real_t* X, dim_t nr_dim, dim_t nr_row) nogil:
 *     cdef double sqrt_var
 *     for i in range(nr_row):             # <<<<<<<<<<<<<<
 *         mu = Vec.mean(X, nr_dim)
 *         v = Vec.variance(X, nr_dim)
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":349
 *     cdef double sqrt_var
 *     for i in range(nr_row):
 *         mu = Vec.mean(X, nr_dim)             # <<<<<<<<<<<<<<
 *         v = Vec.variance(X, nr_dim)
 *         if mu == 0. and v == 0:
 */
    __pyx_v_mu = __pyx_f_5thinc_6linalg_3Vec_mean(__pyx_v_X, __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":350
 *     for i in range(nr_row):
 *         mu = Vec.mean(X, nr_dim)
 *         v = Vec.variance(X, nr_dim)             # <<<<<<<<<<<<<<
 *         if mu == 0. and v == 0:
 *             X += nr_dim
 */
    __pyx_v_v = __pyx_f_5thinc_6linalg_3Vec_variance(__pyx_v_X, __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":351
 *         mu = Vec.mean(X, nr_dim)
 *         v = Vec.variance(X, nr_dim)
 *         if mu == 0. and v == 0:             # <<<<<<<<<<<<<<
 *             X += nr_dim
 *             continue
 */
    __pyx_t_5 = ((__pyx_v_mu == 0.) != 0);
    if (__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_v == 0.0) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "thinc/neural/_fast_maxout_cnn.pyx":352
 *         v = Vec.variance(X, nr_dim)
 *         if mu == 0. and v == 0:
 *             X += nr_dim             # <<<<<<<<<<<<<<
 *             continue
 *         sqrt_var = v ** -0.5
 */
      __pyx_v_X = (__pyx_v_X + __pyx_v_nr_dim);

      /* "thinc/neural/_fast_maxout_cnn.pyx":353
 *         if mu == 0. and v == 0:
 *             X += nr_dim
 *             continue             # <<<<<<<<<<<<<<
 *         sqrt_var = v ** -0.5
 *         for j in range(nr_dim):
 */
      goto __pyx_L3_continue;

      /* "thinc/neural/_fast_maxout_cnn.pyx":351
 *         mu = Vec.mean(X, nr_dim)
 *         v = Vec.variance(X, nr_dim)
 *         if mu == 0. and v == 0:             # <<<<<<<<<<<<<<
 *             X += nr_dim
 *             continue
 */
    }

    /* "thinc/neural/_fast_maxout_cnn.pyx":354
 *             X += nr_dim
 *             continue
 *         sqrt_var = v ** -0.5             # <<<<<<<<<<<<<<
 *         for j in range(nr_dim):
 *             X[j] = (X[j] - mu) * sqrt_var
 */
    __pyx_v_sqrt_var = pow(((double)__pyx_v_v), -0.5);

    /* "thinc/neural/_fast_maxout_cnn.pyx":355
 *             continue
 *         sqrt_var = v ** -0.5
 *         for j in range(nr_dim):             # <<<<<<<<<<<<<<
 *             X[j] = (X[j] - mu) * sqrt_var
 *         X += nr_dim
 */
    __pyx_t_6 = __pyx_v_nr_dim;
    __pyx_t_7 = __pyx_t_6;
    for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
      __pyx_v_j = __pyx_t_8;

      /* "thinc/neural/_fast_maxout_cnn.pyx":356
 *         sqrt_var = v ** -0.5
 *         for j in range(nr_dim):
 *             X[j] = (X[j] - mu) * sqrt_var             # <<<<<<<<<<<<<<
 *         X += nr_dim
 * 
 */
      (__pyx_v_X[__pyx_v_j]) = (((__pyx_v_X[__pyx_v_j]) - __pyx_v_mu) * __pyx_v_sqrt_var);
    }

    /* "thinc/neural/_fast_maxout_cnn.pyx":357
 *         for j in range(nr_dim):
 *             X[j] = (X[j] - mu) * sqrt_var
 *         X += nr_dim             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_v_X = (__pyx_v_X + __pyx_v_nr_dim);
    __pyx_L3_continue:;
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":346
 * 
 * 
 * cdef void layer_norm(real_t* X, dim_t nr_dim, dim_t nr_row) nogil:             # <<<<<<<<<<<<<<
 *     cdef double sqrt_var
 *     for i in range(nr_row):
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":360
 * 
 * 
 * cdef void bwd_layer_norm(real_t* dXa,             # <<<<<<<<<<<<<<
 *         const real_t* dXb, const real_t* Xa, dim_t nr_dim, dim_t nr_row) nogil:
 *     cdef double inv_var, inv_sqrt_var, sum_dXb_dist
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_layer_norm(__pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t *__pyx_v_dXa, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t const *__pyx_v_dXb, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_real_t const *__pyx_v_Xa, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_dim, __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_nr_row) {
  double __pyx_v_inv_var;
  double __pyx_v_inv_sqrt_var;
  double __pyx_v_sum_dXb_dist;
  CYTHON_UNUSED __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_i;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_mu;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_v;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_sum_dXb;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_v_j;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_1;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_2;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_3;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_4;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_5;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_6;
  __pyx_t_5thinc_6neural_16_fast_maxout_cnn_dim_t __pyx_t_7;

  /* "thinc/neural/_fast_maxout_cnn.pyx":363
 *         const real_t* dXb, const real_t* Xa, dim_t nr_dim, dim_t nr_row) nogil:
 *     cdef double inv_var, inv_sqrt_var, sum_dXb_dist
 *     for i in range(nr_row):             # <<<<<<<<<<<<<<
 *         mu = Vec.mean(Xa, nr_dim)
 *         v = Vec.variance(Xa, nr_dim)
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":364
 *     cdef double inv_var, inv_sqrt_var, sum_dXb_dist
 *     for i in range(nr_row):
 *         mu = Vec.mean(Xa, nr_dim)             # <<<<<<<<<<<<<<
 *         v = Vec.variance(Xa, nr_dim)
 *         inv_sqrt_var = v ** (-1./2)
 */
    __pyx_v_mu = __pyx_f_5thinc_6linalg_3Vec_mean(__pyx_v_Xa, __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":365
 *     for i in range(nr_row):
 *         mu = Vec.mean(Xa, nr_dim)
 *         v = Vec.variance(Xa, nr_dim)             # <<<<<<<<<<<<<<
 *         inv_sqrt_var = v ** (-1./2)
 *         inv_var = 1. / v
 */
    __pyx_v_v = __pyx_f_5thinc_6linalg_3Vec_variance(__pyx_v_Xa, __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":366
 *         mu = Vec.mean(Xa, nr_dim)
 *         v = Vec.variance(Xa, nr_dim)
 *         inv_sqrt_var = v ** (-1./2)             # <<<<<<<<<<<<<<
 *         inv_var = 1. / v
 *         sum_dXb = Vec.sum(dXb, nr_dim)
 */
    __pyx_v_inv_sqrt_var = pow(((double)__pyx_v_v), (-1. / 2.0));

    /* "thinc/neural/_fast_maxout_cnn.pyx":367
 *         v = Vec.variance(Xa, nr_dim)
 *         inv_sqrt_var = v ** (-1./2)
 *         inv_var = 1. / v             # <<<<<<<<<<<<<<
 *         sum_dXb = Vec.sum(dXb, nr_dim)
 *         sum_dXb_dist = 0.
 */
    __pyx_v_inv_var = (1. / __pyx_v_v);

    /* "thinc/neural/_fast_maxout_cnn.pyx":368
 *         inv_sqrt_var = v ** (-1./2)
 *         inv_var = 1. / v
 *         sum_dXb = Vec.sum(dXb, nr_dim)             # <<<<<<<<<<<<<<
 *         sum_dXb_dist = 0.
 *         for j in range(nr_dim):
 */
    __pyx_v_sum_dXb = __pyx_f_5thinc_6linalg_3Vec_sum(__pyx_v_dXb, __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":369
 *         inv_var = 1. / v
 *         sum_dXb = Vec.sum(dXb, nr_dim)
 *         sum_dXb_dist = 0.             # <<<<<<<<<<<<<<
 *         for j in range(nr_dim):
 *             sum_dXb_dist += dXb[j] * (Xa[j]-mu)
 */
    __pyx_v_sum_dXb_dist = 0.;

    /* "thinc/neural/_fast_maxout_cnn.pyx":370
 *         sum_dXb = Vec.sum(dXb, nr_dim)
 *         sum_dXb_dist = 0.
 *         for j in range(nr_dim):             # <<<<<<<<<<<<<<
 *             sum_dXb_dist += dXb[j] * (Xa[j]-mu)
 *         for j in range(nr_dim):
 */
    __pyx_t_4 = __pyx_v_nr_dim;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_j = __pyx_t_6;

      /* "thinc/neural/_fast_maxout_cnn.pyx":371
 *         sum_dXb_dist = 0.
 *         for j in range(nr_dim):
 *             sum_dXb_dist += dXb[j] * (Xa[j]-mu)             # <<<<<<<<<<<<<<
 *         for j in range(nr_dim):
 *             dXa[j] = (
 */
      __pyx_v_sum_dXb_dist = (__pyx_v_sum_dXb_dist + ((__pyx_v_dXb[__pyx_v_j]) * ((__pyx_v_Xa[__pyx_v_j]) - __pyx_v_mu)));
    }

    /* "thinc/neural/_fast_maxout_cnn.pyx":372
 *         for j in range(nr_dim):
 *             sum_dXb_dist += dXb[j] * (Xa[j]-mu)
 *         for j in range(nr_dim):             # <<<<<<<<<<<<<<
 *             dXa[j] = (
 *                 nr_dim * dXb[j]
 */
    __pyx_t_4 = __pyx_v_nr_dim;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_j = __pyx_t_6;

      /* "thinc/neural/_fast_maxout_cnn.pyx":373
 *             sum_dXb_dist += dXb[j] * (Xa[j]-mu)
 *         for j in range(nr_dim):
 *             dXa[j] = (             # <<<<<<<<<<<<<<
 *                 nr_dim * dXb[j]
 *                 - sum_dXb
 */
      (__pyx_v_dXa[__pyx_v_j]) = (((__pyx_v_nr_dim * (__pyx_v_dXb[__pyx_v_j])) - __pyx_v_sum_dXb) - ((((__pyx_v_Xa[__pyx_v_j]) - __pyx_v_mu) * __pyx_v_inv_var) * __pyx_v_sum_dXb_dist));

      /* "thinc/neural/_fast_maxout_cnn.pyx":378
 *                 - (Xa[j]-mu) * inv_var * sum_dXb_dist
 *             )
 *             dXa[j] *= inv_sqrt_var             # <<<<<<<<<<<<<<
 *             dXa[j] /= nr_dim
 *         Xa += nr_dim
 */
      __pyx_t_7 = __pyx_v_j;
      (__pyx_v_dXa[__pyx_t_7]) = ((__pyx_v_dXa[__pyx_t_7]) * __pyx_v_inv_sqrt_var);

      /* "thinc/neural/_fast_maxout_cnn.pyx":379
 *             )
 *             dXa[j] *= inv_sqrt_var
 *             dXa[j] /= nr_dim             # <<<<<<<<<<<<<<
 *         Xa += nr_dim
 *         dXa += nr_dim
 */
      __pyx_t_7 = __pyx_v_j;
      (__pyx_v_dXa[__pyx_t_7]) = ((__pyx_v_dXa[__pyx_t_7]) / __pyx_v_nr_dim);
    }

    /* "thinc/neural/_fast_maxout_cnn.pyx":380
 *             dXa[j] *= inv_sqrt_var
 *             dXa[j] /= nr_dim
 *         Xa += nr_dim             # <<<<<<<<<<<<<<
 *         dXa += nr_dim
 *         dXb += nr_dim
 */
    __pyx_v_Xa = (__pyx_v_Xa + __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":381
 *             dXa[j] /= nr_dim
 *         Xa += nr_dim
 *         dXa += nr_dim             # <<<<<<<<<<<<<<
 *         dXb += nr_dim
 * 
 */
    __pyx_v_dXa = (__pyx_v_dXa + __pyx_v_nr_dim);

    /* "thinc/neural/_fast_maxout_cnn.pyx":382
 *         Xa += nr_dim
 *         dXa += nr_dim
 *         dXb += nr_dim             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_v_dXb = (__pyx_v_dXb + __pyx_v_nr_dim);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":360
 * 
 * 
 * cdef void bwd_layer_norm(real_t* dXa,             # <<<<<<<<<<<<<<
 *         const real_t* dXb, const real_t* Xa, dim_t nr_dim, dim_t nr_row) nogil:
 *     cdef double inv_var, inv_sqrt_var, sum_dXb_dist
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":385
 * 
 * 
 * cdef void rescale(float* X,             # <<<<<<<<<<<<<<
 *         const float* G, const float* bias, int nO, int nB) nogil:
 *     for i in range(nB):
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_rescale(float *__pyx_v_X, float const *__pyx_v_G, float const *__pyx_v_bias, int __pyx_v_nO, int __pyx_v_nB) {
  CYTHON_UNUSED int __pyx_v_i;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;

  /* "thinc/neural/_fast_maxout_cnn.pyx":387
 * cdef void rescale(float* X,
 *         const float* G, const float* bias, int nO, int nB) nogil:
 *     for i in range(nB):             # <<<<<<<<<<<<<<
 *         VecVec.mul_i(X,
 *             G, nO)
 */
  __pyx_t_1 = __pyx_v_nB;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":388
 *         const float* G, const float* bias, int nO, int nB) nogil:
 *     for i in range(nB):
 *         VecVec.mul_i(X,             # <<<<<<<<<<<<<<
 *             G, nO)
 *         VecVec.add_i(X,
 */
    __pyx_f_5thinc_6linalg_6VecVec_mul_i(__pyx_v_X, __pyx_v_G, __pyx_v_nO);

    /* "thinc/neural/_fast_maxout_cnn.pyx":390
 *         VecVec.mul_i(X,
 *             G, nO)
 *         VecVec.add_i(X,             # <<<<<<<<<<<<<<
 *             bias, 1., nO)
 *         X += nO
 */
    __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_X, __pyx_v_bias, 1., __pyx_v_nO);

    /* "thinc/neural/_fast_maxout_cnn.pyx":392
 *         VecVec.add_i(X,
 *             bias, 1., nO)
 *         X += nO             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_v_X = (__pyx_v_X + __pyx_v_nO);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":385
 * 
 * 
 * cdef void rescale(float* X,             # <<<<<<<<<<<<<<
 *         const float* G, const float* bias, int nO, int nB) nogil:
 *     for i in range(nB):
 */

  /* function exit code */
}

/* "thinc/neural/_fast_maxout_cnn.pyx":395
 * 
 * 
 * cdef void bwd_rescale(float* d_down, float* dG, float* d_bias,             # <<<<<<<<<<<<<<
 *         const float* d_up, const float* down, const float* G, int nO, int nB) nogil:
 *     memcpy(d_down,
 */

static void __pyx_f_5thinc_6neural_16_fast_maxout_cnn_bwd_rescale(float *__pyx_v_d_down, float *__pyx_v_dG, float *__pyx_v_d_bias, float const *__pyx_v_d_up, float const *__pyx_v_down, float const *__pyx_v_G, int __pyx_v_nO, int __pyx_v_nB) {
  CYTHON_UNUSED int __pyx_v_i;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;

  /* "thinc/neural/_fast_maxout_cnn.pyx":397
 * cdef void bwd_rescale(float* d_down, float* dG, float* d_bias,
 *         const float* d_up, const float* down, const float* G, int nO, int nB) nogil:
 *     memcpy(d_down,             # <<<<<<<<<<<<<<
 *         d_up, nO*nB*sizeof(d_down[0]))
 *     for i in range(nB):
 */
  (void)(memcpy(__pyx_v_d_down, __pyx_v_d_up, ((__pyx_v_nO * __pyx_v_nB) * (sizeof((__pyx_v_d_down[0]))))));

  /* "thinc/neural/_fast_maxout_cnn.pyx":399
 *     memcpy(d_down,
 *         d_up, nO*nB*sizeof(d_down[0]))
 *     for i in range(nB):             # <<<<<<<<<<<<<<
 *         VecVec.mul_i(d_down,
 *             G, nO)
 */
  __pyx_t_1 = __pyx_v_nB;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":400
 *         d_up, nO*nB*sizeof(d_down[0]))
 *     for i in range(nB):
 *         VecVec.mul_i(d_down,             # <<<<<<<<<<<<<<
 *             G, nO)
 *         d_down += nO
 */
    __pyx_f_5thinc_6linalg_6VecVec_mul_i(__pyx_v_d_down, __pyx_v_G, __pyx_v_nO);

    /* "thinc/neural/_fast_maxout_cnn.pyx":402
 *         VecVec.mul_i(d_down,
 *             G, nO)
 *         d_down += nO             # <<<<<<<<<<<<<<
 *     for i in range(nB):
 *         VecVec.add_i(d_bias,
 */
    __pyx_v_d_down = (__pyx_v_d_down + __pyx_v_nO);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":403
 *             G, nO)
 *         d_down += nO
 *     for i in range(nB):             # <<<<<<<<<<<<<<
 *         VecVec.add_i(d_bias,
 *             d_up, 1., nO)
 */
  __pyx_t_1 = __pyx_v_nB;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "thinc/neural/_fast_maxout_cnn.pyx":404
 *         d_down += nO
 *     for i in range(nB):
 *         VecVec.add_i(d_bias,             # <<<<<<<<<<<<<<
 *             d_up, 1., nO)
 *     MatMat.batch_add_outer_i(dG,
 */
    __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_d_bias, __pyx_v_d_up, 1., __pyx_v_nO);
  }

  /* "thinc/neural/_fast_maxout_cnn.pyx":406
 *         VecVec.add_i(d_bias,
 *             d_up, 1., nO)
 *     MatMat.batch_add_outer_i(dG,             # <<<<<<<<<<<<<<
 *         d_up, down, nO, 1, nB)
 */
  __pyx_f_5thinc_6linalg_6MatMat_batch_add_outer_i(__pyx_v_dG, __pyx_v_d_up, __pyx_v_down, __pyx_v_nO, 1, __pyx_v_nB);

  /* "thinc/neural/_fast_maxout_cnn.pyx":395
 * 
 * 
 * cdef void bwd_rescale(float* d_down, float* dG, float* d_bias,             # <<<<<<<<<<<<<<
 *         const float* d_up, const float* down, const float* G, int nO, int nB) nogil:
 *     memcpy(d_down,
 */

  /* function exit code */
}

/* "linalg.pxd":31
 * cdef class Vec:
 *     @staticmethod
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:             # <<<<<<<<<<<<<<
 *         if n_classes == 2:
 *             return 0 if scores[0] > scores[1] else 1
 */

static CYTHON_INLINE int __pyx_f_5thinc_6linalg_3Vec_arg_max(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_scores, int const __pyx_v_n_classes) {
  int __pyx_v_i;
  int __pyx_v_best;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_mode;
  int __pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":32
 *     @staticmethod
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:
 *         if n_classes == 2:             # <<<<<<<<<<<<<<
 *             return 0 if scores[0] > scores[1] else 1
 *         cdef int i
 */
  __pyx_t_1 = ((__pyx_v_n_classes == 2) != 0);
  if (__pyx_t_1) {

    /* "linalg.pxd":33
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:
 *         if n_classes == 2:
 *             return 0 if scores[0] > scores[1] else 1             # <<<<<<<<<<<<<<
 *         cdef int i
 *         cdef int best = 0
 */
    if ((((__pyx_v_scores[0]) > (__pyx_v_scores[1])) != 0)) {
      __pyx_t_2 = 0;
    } else {
      __pyx_t_2 = 1;
    }
    __pyx_r = __pyx_t_2;
    goto __pyx_L0;

    /* "linalg.pxd":32
 *     @staticmethod
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:
 *         if n_classes == 2:             # <<<<<<<<<<<<<<
 *             return 0 if scores[0] > scores[1] else 1
 *         cdef int i
 */
  }

  /* "linalg.pxd":35
 *             return 0 if scores[0] > scores[1] else 1
 *         cdef int i
 *         cdef int best = 0             # <<<<<<<<<<<<<<
 *         cdef weight_t mode = scores[0]
 *         for i in range(1, n_classes):
 */
  __pyx_v_best = 0;

  /* "linalg.pxd":36
 *         cdef int i
 *         cdef int best = 0
 *         cdef weight_t mode = scores[0]             # <<<<<<<<<<<<<<
 *         for i in range(1, n_classes):
 *             if scores[i] > mode:
 */
  __pyx_v_mode = (__pyx_v_scores[0]);

  /* "linalg.pxd":37
 *         cdef int best = 0
 *         cdef weight_t mode = scores[0]
 *         for i in range(1, n_classes):             # <<<<<<<<<<<<<<
 *             if scores[i] > mode:
 *                 mode = scores[i]
 */
  __pyx_t_2 = __pyx_v_n_classes;
  __pyx_t_3 = __pyx_t_2;
  for (__pyx_t_4 = 1; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_i = __pyx_t_4;

    /* "linalg.pxd":38
 *         cdef weight_t mode = scores[0]
 *         for i in range(1, n_classes):
 *             if scores[i] > mode:             # <<<<<<<<<<<<<<
 *                 mode = scores[i]
 *                 best = i
 */
    __pyx_t_1 = (((__pyx_v_scores[__pyx_v_i]) > __pyx_v_mode) != 0);
    if (__pyx_t_1) {

      /* "linalg.pxd":39
 *         for i in range(1, n_classes):
 *             if scores[i] > mode:
 *                 mode = scores[i]             # <<<<<<<<<<<<<<
 *                 best = i
 *         return best
 */
      __pyx_v_mode = (__pyx_v_scores[__pyx_v_i]);

      /* "linalg.pxd":40
 *             if scores[i] > mode:
 *                 mode = scores[i]
 *                 best = i             # <<<<<<<<<<<<<<
 *         return best
 * 
 */
      __pyx_v_best = __pyx_v_i;

      /* "linalg.pxd":38
 *         cdef weight_t mode = scores[0]
 *         for i in range(1, n_classes):
 *             if scores[i] > mode:             # <<<<<<<<<<<<<<
 *                 mode = scores[i]
 *                 best = i
 */
    }
  }

  /* "linalg.pxd":41
 *                 mode = scores[i]
 *                 best = i
 *         return best             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = __pyx_v_best;
  goto __pyx_L0;

  /* "linalg.pxd":31
 * cdef class Vec:
 *     @staticmethod
 *     cdef inline int arg_max(const weight_t* scores, const int n_classes) nogil:             # <<<<<<<<<<<<<<
 *         if n_classes == 2:
 *             return 0 if scores[0] > scores[1] else 1
 */

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

/* "linalg.pxd":44
 * 
 *     @staticmethod
 *     cdef inline weight_t max(const weight_t* x, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         if nr == 0:
 *             return 0
 */

static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_max(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_mode;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_r;
  int __pyx_t_1;
  int32_t __pyx_t_2;
  int32_t __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":45
 *     @staticmethod
 *     cdef inline weight_t max(const weight_t* x, int32_t nr) nogil:
 *         if nr == 0:             # <<<<<<<<<<<<<<
 *             return 0
 *         cdef int i
 */
  __pyx_t_1 = ((__pyx_v_nr == 0) != 0);
  if (__pyx_t_1) {

    /* "linalg.pxd":46
 *     cdef inline weight_t max(const weight_t* x, int32_t nr) nogil:
 *         if nr == 0:
 *             return 0             # <<<<<<<<<<<<<<
 *         cdef int i
 *         cdef weight_t mode = x[0]
 */
    __pyx_r = 0.0;
    goto __pyx_L0;

    /* "linalg.pxd":45
 *     @staticmethod
 *     cdef inline weight_t max(const weight_t* x, int32_t nr) nogil:
 *         if nr == 0:             # <<<<<<<<<<<<<<
 *             return 0
 *         cdef int i
 */
  }

  /* "linalg.pxd":48
 *             return 0
 *         cdef int i
 *         cdef weight_t mode = x[0]             # <<<<<<<<<<<<<<
 *         for i in range(1, nr):
 *             if x[i] > mode:
 */
  __pyx_v_mode = (__pyx_v_x[0]);

  /* "linalg.pxd":49
 *         cdef int i
 *         cdef weight_t mode = x[0]
 *         for i in range(1, nr):             # <<<<<<<<<<<<<<
 *             if x[i] > mode:
 *                 mode = x[i]
 */
  __pyx_t_2 = __pyx_v_nr;
  __pyx_t_3 = __pyx_t_2;
  for (__pyx_t_4 = 1; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_i = __pyx_t_4;

    /* "linalg.pxd":50
 *         cdef weight_t mode = x[0]
 *         for i in range(1, nr):
 *             if x[i] > mode:             # <<<<<<<<<<<<<<
 *                 mode = x[i]
 *         return mode
 */
    __pyx_t_1 = (((__pyx_v_x[__pyx_v_i]) > __pyx_v_mode) != 0);
    if (__pyx_t_1) {

      /* "linalg.pxd":51
 *         for i in range(1, nr):
 *             if x[i] > mode:
 *                 mode = x[i]             # <<<<<<<<<<<<<<
 *         return mode
 * 
 */
      __pyx_v_mode = (__pyx_v_x[__pyx_v_i]);

      /* "linalg.pxd":50
 *         cdef weight_t mode = x[0]
 *         for i in range(1, nr):
 *             if x[i] > mode:             # <<<<<<<<<<<<<<
 *                 mode = x[i]
 *         return mode
 */
    }
  }

  /* "linalg.pxd":52
 *             if x[i] > mode:
 *                 mode = x[i]
 *         return mode             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = __pyx_v_mode;
  goto __pyx_L0;

  /* "linalg.pxd":44
 * 
 *     @staticmethod
 *     cdef inline weight_t max(const weight_t* x, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         if nr == 0:
 *             return 0
 */

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

/* "linalg.pxd":55
 * 
 *     @staticmethod
 *     cdef inline weight_t sum(const weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         cdef weight_t total = 0
 */

static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_sum(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_total;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_r;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":57
 *     cdef inline weight_t sum(const weight_t* vec, int32_t nr) nogil:
 *         cdef int i
 *         cdef weight_t total = 0             # <<<<<<<<<<<<<<
 *         for i in range(nr):
 *             total += vec[i]
 */
  __pyx_v_total = 0.0;

  /* "linalg.pxd":58
 *         cdef int i
 *         cdef weight_t total = 0
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             total += vec[i]
 *         return total
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":59
 *         cdef weight_t total = 0
 *         for i in range(nr):
 *             total += vec[i]             # <<<<<<<<<<<<<<
 *         return total
 * 
 */
    __pyx_v_total = (__pyx_v_total + (__pyx_v_vec[__pyx_v_i]));
  }

  /* "linalg.pxd":60
 *         for i in range(nr):
 *             total += vec[i]
 *         return total             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = __pyx_v_total;
  goto __pyx_L0;

  /* "linalg.pxd":55
 * 
 *     @staticmethod
 *     cdef inline weight_t sum(const weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         cdef weight_t total = 0
 */

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

/* "linalg.pxd":63
 * 
 *     @staticmethod
 *     cdef inline weight_t norm(const weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef weight_t total = 0
 *         for i in range(nr):
 */

static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_norm(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr) {
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_total;
  int32_t __pyx_v_i;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_r;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int32_t __pyx_t_3;

  /* "linalg.pxd":64
 *     @staticmethod
 *     cdef inline weight_t norm(const weight_t* vec, int32_t nr) nogil:
 *         cdef weight_t total = 0             # <<<<<<<<<<<<<<
 *         for i in range(nr):
 *             total += vec[i] ** 2
 */
  __pyx_v_total = 0.0;

  /* "linalg.pxd":65
 *     cdef inline weight_t norm(const weight_t* vec, int32_t nr) nogil:
 *         cdef weight_t total = 0
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             total += vec[i] ** 2
 *         return sqrt(total)
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":66
 *         cdef weight_t total = 0
 *         for i in range(nr):
 *             total += vec[i] ** 2             # <<<<<<<<<<<<<<
 *         return sqrt(total)
 * 
 */
    __pyx_v_total = (__pyx_v_total + powf(((__pyx_t_5thinc_8typedefs_weight_t)(__pyx_v_vec[__pyx_v_i])), 2.0));
  }

  /* "linalg.pxd":67
 *         for i in range(nr):
 *             total += vec[i] ** 2
 *         return sqrt(total)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = sqrt(__pyx_v_total);
  goto __pyx_L0;

  /* "linalg.pxd":63
 * 
 *     @staticmethod
 *     cdef inline weight_t norm(const weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef weight_t total = 0
 *         for i in range(nr):
 */

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

/* "linalg.pxd":70
 * 
 *     @staticmethod
 *     cdef inline void add(weight_t* output, const weight_t* x,             # <<<<<<<<<<<<<<
 *             weight_t inc, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_add(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_inc, int32_t __pyx_v_nr) {

  /* "linalg.pxd":72
 *     cdef inline void add(weight_t* output, const weight_t* x,
 *             weight_t inc, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         Vec.add_i(output, inc, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_x, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":73
 *             weight_t inc, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 *         Vec.add_i(output, inc, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_3Vec_add_i(__pyx_v_output, __pyx_v_inc, __pyx_v_nr);

  /* "linalg.pxd":70
 * 
 *     @staticmethod
 *     cdef inline void add(weight_t* output, const weight_t* x,             # <<<<<<<<<<<<<<
 *             weight_t inc, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 */

  /* function exit code */
}

/* "linalg.pxd":76
 * 
 *     @staticmethod
 *     cdef inline void add_i(weight_t* vec, weight_t inc, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_inc, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":78
 *     cdef inline void add_i(weight_t* vec, weight_t inc, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             vec[i] += inc
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":79
 *         cdef int i
 *         for i in range(nr):
 *             vec[i] += inc             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_vec[__pyx_t_4]) = ((__pyx_v_vec[__pyx_t_4]) + __pyx_v_inc);
  }

  /* "linalg.pxd":76
 * 
 *     @staticmethod
 *     cdef inline void add_i(weight_t* vec, weight_t inc, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

  /* function exit code */
}

/* "linalg.pxd":82
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output, const weight_t* vec, weight_t scal,             # <<<<<<<<<<<<<<
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr) {

  /* "linalg.pxd":84
 *     cdef inline void mul(weight_t* output, const weight_t* vec, weight_t scal,
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         Vec.mul_i(output, scal, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_vec, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":85
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 *         Vec.mul_i(output, scal, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_3Vec_mul_i(__pyx_v_output, __pyx_v_scal, __pyx_v_nr);

  /* "linalg.pxd":82
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output, const weight_t* vec, weight_t scal,             # <<<<<<<<<<<<<<
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 */

  /* function exit code */
}

/* "linalg.pxd":88
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* vec, weight_t scal, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         IF USE_BLAS:
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":93
 *             openblas.scale(vec, nr, scal)
 *         ELSE:
 *             for i in range(nr):             # <<<<<<<<<<<<<<
 *                 vec[i] *= scal
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":94
 *         ELSE:
 *             for i in range(nr):
 *                 vec[i] *= scal             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_vec[__pyx_t_4]) = ((__pyx_v_vec[__pyx_t_4]) * __pyx_v_scal);
  }

  /* "linalg.pxd":88
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* vec, weight_t scal, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         IF USE_BLAS:
 */

  /* function exit code */
}

/* "linalg.pxd":97
 * 
 *     @staticmethod
 *     cdef inline void pow(weight_t* output, const weight_t* vec, weight_t scal,             # <<<<<<<<<<<<<<
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_pow(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr) {

  /* "linalg.pxd":99
 *     cdef inline void pow(weight_t* output, const weight_t* vec, weight_t scal,
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         Vec.pow_i(output, scal, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_vec, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":100
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 *         Vec.pow_i(output, scal, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_3Vec_pow_i(__pyx_v_output, __pyx_v_scal, __pyx_v_nr);

  /* "linalg.pxd":97
 * 
 *     @staticmethod
 *     cdef inline void pow(weight_t* output, const weight_t* vec, weight_t scal,             # <<<<<<<<<<<<<<
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 */

  /* function exit code */
}

/* "linalg.pxd":103
 * 
 *     @staticmethod
 *     cdef inline void pow_i(weight_t* vec, const weight_t scal, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_pow_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t const __pyx_v_scal, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":105
 *     cdef inline void pow_i(weight_t* vec, const weight_t scal, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             vec[i] **= scal
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":106
 *         cdef int i
 *         for i in range(nr):
 *             vec[i] **= scal             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_vec[__pyx_t_4]) = powf((__pyx_v_vec[__pyx_t_4]), ((__pyx_t_5thinc_8typedefs_weight_t)__pyx_v_scal));
  }

  /* "linalg.pxd":103
 * 
 *     @staticmethod
 *     cdef inline void pow_i(weight_t* vec, const weight_t scal, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

  /* function exit code */
}

/* "linalg.pxd":110
 *     @staticmethod
 *     @cython.cdivision(True)
 *     cdef inline void div(weight_t* output, const weight_t* vec, weight_t scal,             # <<<<<<<<<<<<<<
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_div(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scal, int32_t __pyx_v_nr) {

  /* "linalg.pxd":112
 *     cdef inline void div(weight_t* output, const weight_t* vec, weight_t scal,
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         Vec.div_i(output, scal, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_vec, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":113
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 *         Vec.div_i(output, scal, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_3Vec_div_i(__pyx_v_output, __pyx_v_scal, __pyx_v_nr);

  /* "linalg.pxd":110
 *     @staticmethod
 *     @cython.cdivision(True)
 *     cdef inline void div(weight_t* output, const weight_t* vec, weight_t scal,             # <<<<<<<<<<<<<<
 *             int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 */

  /* function exit code */
}

/* "linalg.pxd":117
 *     @staticmethod
 *     @cython.cdivision(True)
 *     cdef inline void div_i(weight_t* vec, const weight_t scal, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_div_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t const __pyx_v_scal, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":119
 *     cdef inline void div_i(weight_t* vec, const weight_t scal, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             vec[i] /= scal
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":120
 *         cdef int i
 *         for i in range(nr):
 *             vec[i] /= scal             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_vec[__pyx_t_4]) = ((__pyx_v_vec[__pyx_t_4]) / __pyx_v_scal);
  }

  /* "linalg.pxd":117
 *     @staticmethod
 *     @cython.cdivision(True)
 *     cdef inline void div_i(weight_t* vec, const weight_t scal, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

  /* function exit code */
}

/* "linalg.pxd":123
 * 
 *     @staticmethod
 *     cdef inline void exp(weight_t* output, const weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 *         Vec.exp_i(output, nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_exp(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr) {

  /* "linalg.pxd":124
 *     @staticmethod
 *     cdef inline void exp(weight_t* output, const weight_t* vec, int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         Vec.exp_i(output, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_vec, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":125
 *     cdef inline void exp(weight_t* output, const weight_t* vec, int32_t nr) nogil:
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 *         Vec.exp_i(output, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_3Vec_exp_i(__pyx_v_output, __pyx_v_nr);

  /* "linalg.pxd":123
 * 
 *     @staticmethod
 *     cdef inline void exp(weight_t* output, const weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         memcpy(output, vec, sizeof(output[0]) * nr)
 *         Vec.exp_i(output, nr)
 */

  /* function exit code */
}

/* "linalg.pxd":128
 * 
 *     @staticmethod
 *     cdef inline void exp_i(weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_exp_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":130
 *     cdef inline void exp_i(weight_t* vec, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             vec[i] = exp(vec[i])
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":131
 *         cdef int i
 *         for i in range(nr):
 *             vec[i] = exp(vec[i])             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    (__pyx_v_vec[__pyx_v_i]) = exp((__pyx_v_vec[__pyx_v_i]));
  }

  /* "linalg.pxd":128
 * 
 *     @staticmethod
 *     cdef inline void exp_i(weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

  /* function exit code */
}

/* "linalg.pxd":134
 * 
 *     @staticmethod
 *     cdef inline void reciprocal_i(weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Vec_reciprocal_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_vec, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":136
 *     cdef inline void reciprocal_i(weight_t* vec, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             vec[i] = 1.0 / vec[i]
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":137
 *         cdef int i
 *         for i in range(nr):
 *             vec[i] = 1.0 / vec[i]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    (__pyx_v_vec[__pyx_v_i]) = (1.0 / (__pyx_v_vec[__pyx_v_i]));
  }

  /* "linalg.pxd":134
 * 
 *     @staticmethod
 *     cdef inline void reciprocal_i(weight_t* vec, int32_t nr) nogil:             # <<<<<<<<<<<<<<
 *         cdef int i
 *         for i in range(nr):
 */

  /* function exit code */
}

/* "linalg.pxd":140
 * 
 *     @staticmethod
 *     cdef inline weight_t mean(const weight_t* X, int32_t nr_dim) nogil:             # <<<<<<<<<<<<<<
 *         cdef weight_t mean = 0.
 *         for x in X[:nr_dim]:
 */

static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_mean(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_X, int32_t __pyx_v_nr_dim) {
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_mean;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_x;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_r;
  __pyx_t_5thinc_8typedefs_weight_t const *__pyx_t_1;
  __pyx_t_5thinc_8typedefs_weight_t const *__pyx_t_2;
  __pyx_t_5thinc_8typedefs_weight_t const *__pyx_t_3;

  /* "linalg.pxd":141
 *     @staticmethod
 *     cdef inline weight_t mean(const weight_t* X, int32_t nr_dim) nogil:
 *         cdef weight_t mean = 0.             # <<<<<<<<<<<<<<
 *         for x in X[:nr_dim]:
 *             mean += x
 */
  __pyx_v_mean = 0.;

  /* "linalg.pxd":142
 *     cdef inline weight_t mean(const weight_t* X, int32_t nr_dim) nogil:
 *         cdef weight_t mean = 0.
 *         for x in X[:nr_dim]:             # <<<<<<<<<<<<<<
 *             mean += x
 *         return mean / nr_dim
 */
  __pyx_t_2 = (__pyx_v_X + __pyx_v_nr_dim);
  for (__pyx_t_3 = __pyx_v_X; __pyx_t_3 < __pyx_t_2; __pyx_t_3++) {
    __pyx_t_1 = __pyx_t_3;
    __pyx_v_x = (__pyx_t_1[0]);

    /* "linalg.pxd":143
 *         cdef weight_t mean = 0.
 *         for x in X[:nr_dim]:
 *             mean += x             # <<<<<<<<<<<<<<
 *         return mean / nr_dim
 * 
 */
    __pyx_v_mean = (__pyx_v_mean + __pyx_v_x);
  }

  /* "linalg.pxd":144
 *         for x in X[:nr_dim]:
 *             mean += x
 *         return mean / nr_dim             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = (__pyx_v_mean / __pyx_v_nr_dim);
  goto __pyx_L0;

  /* "linalg.pxd":140
 * 
 *     @staticmethod
 *     cdef inline weight_t mean(const weight_t* X, int32_t nr_dim) nogil:             # <<<<<<<<<<<<<<
 *         cdef weight_t mean = 0.
 *         for x in X[:nr_dim]:
 */

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

/* "linalg.pxd":147
 * 
 *     @staticmethod
 *     cdef inline weight_t variance(const weight_t* X, int32_t nr_dim) nogil:             # <<<<<<<<<<<<<<
 *         # See https://www.johndcook.com/blog/standard_deviation/
 *         cdef double m = X[0]
 */

static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_3Vec_variance(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_X, int32_t __pyx_v_nr_dim) {
  double __pyx_v_m;
  double __pyx_v_v;
  long __pyx_v_i;
  double __pyx_v_diff;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_r;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  long __pyx_t_3;

  /* "linalg.pxd":149
 *     cdef inline weight_t variance(const weight_t* X, int32_t nr_dim) nogil:
 *         # See https://www.johndcook.com/blog/standard_deviation/
 *         cdef double m = X[0]             # <<<<<<<<<<<<<<
 *         cdef double v = 0.
 *         for i in range(1, nr_dim):
 */
  __pyx_v_m = (__pyx_v_X[0]);

  /* "linalg.pxd":150
 *         # See https://www.johndcook.com/blog/standard_deviation/
 *         cdef double m = X[0]
 *         cdef double v = 0.             # <<<<<<<<<<<<<<
 *         for i in range(1, nr_dim):
 *             diff = X[i]-m
 */
  __pyx_v_v = 0.;

  /* "linalg.pxd":151
 *         cdef double m = X[0]
 *         cdef double v = 0.
 *         for i in range(1, nr_dim):             # <<<<<<<<<<<<<<
 *             diff = X[i]-m
 *             m += diff / (i+1)
 */
  __pyx_t_1 = __pyx_v_nr_dim;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 1; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":152
 *         cdef double v = 0.
 *         for i in range(1, nr_dim):
 *             diff = X[i]-m             # <<<<<<<<<<<<<<
 *             m += diff / (i+1)
 *             v += diff * (X[i] - m)
 */
    __pyx_v_diff = ((__pyx_v_X[__pyx_v_i]) - __pyx_v_m);

    /* "linalg.pxd":153
 *         for i in range(1, nr_dim):
 *             diff = X[i]-m
 *             m += diff / (i+1)             # <<<<<<<<<<<<<<
 *             v += diff * (X[i] - m)
 *         return v / nr_dim
 */
    __pyx_v_m = (__pyx_v_m + (__pyx_v_diff / (__pyx_v_i + 1)));

    /* "linalg.pxd":154
 *             diff = X[i]-m
 *             m += diff / (i+1)
 *             v += diff * (X[i] - m)             # <<<<<<<<<<<<<<
 *         return v / nr_dim
 * 
 */
    __pyx_v_v = (__pyx_v_v + (__pyx_v_diff * ((__pyx_v_X[__pyx_v_i]) - __pyx_v_m)));
  }

  /* "linalg.pxd":155
 *             m += diff / (i+1)
 *             v += diff * (X[i] - m)
 *         return v / nr_dim             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = (__pyx_v_v / __pyx_v_nr_dim);
  goto __pyx_L0;

  /* "linalg.pxd":147
 * 
 *     @staticmethod
 *     cdef inline weight_t variance(const weight_t* X, int32_t nr_dim) nogil:             # <<<<<<<<<<<<<<
 *         # See https://www.johndcook.com/blog/standard_deviation/
 *         cdef double m = X[0]
 */

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

/* "linalg.pxd":160
 * cdef class VecVec:
 *     @staticmethod
 *     cdef inline void add(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* x,
 *                          const weight_t* y,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr) {

  /* "linalg.pxd":165
 *                          weight_t scale,
 *                          int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         VecVec.add_i(output, y, scale, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_x, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":166
 *                          int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 *         VecVec.add_i(output, y, scale, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_output, __pyx_v_y, __pyx_v_scale, __pyx_v_nr);

  /* "linalg.pxd":160
 * cdef class VecVec:
 *     @staticmethod
 *     cdef inline void add(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* x,
 *                          const weight_t* y,
 */

  /* function exit code */
}

/* "linalg.pxd":169
 * 
 *     @staticmethod
 *     cdef inline void add_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            weight_t scale,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":178
 *                 y, scale)
 *         ELSE:
 *             for i in range(nr):             # <<<<<<<<<<<<<<
 *                 x[i] += y[i] * scale
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":179
 *         ELSE:
 *             for i in range(nr):
 *                 x[i] += y[i] * scale             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_x[__pyx_t_4]) = ((__pyx_v_x[__pyx_t_4]) + ((__pyx_v_y[__pyx_v_i]) * __pyx_v_scale));
  }

  /* "linalg.pxd":169
 * 
 *     @staticmethod
 *     cdef inline void add_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            weight_t scale,
 */

  /* function exit code */
}

/* "linalg.pxd":182
 * 
 *     @staticmethod
 *     cdef inline void batch_add_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            weight_t scale,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_batch_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr, int32_t __pyx_v_nr_batch) {
  CYTHON_UNUSED int __pyx_v__;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":188
 *         # For fixed x, matrix of y
 *         cdef int i, _
 *         for _ in range(nr_batch):             # <<<<<<<<<<<<<<
 *             VecVec.add_i(x,
 *                 y, scale, nr)
 */
  __pyx_t_1 = __pyx_v_nr_batch;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v__ = __pyx_t_3;

    /* "linalg.pxd":189
 *         cdef int i, _
 *         for _ in range(nr_batch):
 *             VecVec.add_i(x,             # <<<<<<<<<<<<<<
 *                 y, scale, nr)
 *             y += nr
 */
    __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_x, __pyx_v_y, __pyx_v_scale, __pyx_v_nr);

    /* "linalg.pxd":191
 *             VecVec.add_i(x,
 *                 y, scale, nr)
 *             y += nr             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_v_y = (__pyx_v_y + __pyx_v_nr);
  }

  /* "linalg.pxd":182
 * 
 *     @staticmethod
 *     cdef inline void batch_add_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            weight_t scale,
 */

  /* function exit code */
}

/* "linalg.pxd":194
 * 
 *     @staticmethod
 *     cdef inline void add_pow(weight_t* output,             # <<<<<<<<<<<<<<
 *             const weight_t* x, const weight_t* y, weight_t power, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_pow(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_power, int32_t __pyx_v_nr) {

  /* "linalg.pxd":196
 *     cdef inline void add_pow(weight_t* output,
 *             const weight_t* x, const weight_t* y, weight_t power, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         VecVec.add_pow_i(output, y, power, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_x, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":197
 *             const weight_t* x, const weight_t* y, weight_t power, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 *         VecVec.add_pow_i(output, y, power, nr)             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_f_5thinc_6linalg_6VecVec_add_pow_i(__pyx_v_output, __pyx_v_y, __pyx_v_power, __pyx_v_nr);

  /* "linalg.pxd":194
 * 
 *     @staticmethod
 *     cdef inline void add_pow(weight_t* output,             # <<<<<<<<<<<<<<
 *             const weight_t* x, const weight_t* y, weight_t power, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 */

  /* function exit code */
}

/* "linalg.pxd":201
 * 
 *     @staticmethod
 *     cdef inline void add_pow_i(weight_t* x,             # <<<<<<<<<<<<<<
 *             const weight_t* y, weight_t power, int32_t nr) nogil:
 *         cdef int i
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_add_pow_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_power, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":204
 *             const weight_t* y, weight_t power, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             x[i] += y[i] ** power
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":205
 *         cdef int i
 *         for i in range(nr):
 *             x[i] += y[i] ** power             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_x[__pyx_t_4]) = ((__pyx_v_x[__pyx_t_4]) + powf(((__pyx_t_5thinc_8typedefs_weight_t)(__pyx_v_y[__pyx_v_i])), __pyx_v_power));
  }

  /* "linalg.pxd":201
 * 
 *     @staticmethod
 *     cdef inline void add_pow_i(weight_t* x,             # <<<<<<<<<<<<<<
 *             const weight_t* y, weight_t power, int32_t nr) nogil:
 *         cdef int i
 */

  /* function exit code */
}

/* "linalg.pxd":208
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output,             # <<<<<<<<<<<<<<
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr) {

  /* "linalg.pxd":210
 *     cdef inline void mul(weight_t* output,
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)             # <<<<<<<<<<<<<<
 *         VecVec.mul_i(output, y, nr)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_x, ((sizeof((__pyx_v_output[0]))) * __pyx_v_nr)));

  /* "linalg.pxd":211
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 *         VecVec.mul_i(output, y, nr)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_6VecVec_mul_i(__pyx_v_output, __pyx_v_y, __pyx_v_nr);

  /* "linalg.pxd":208
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output,             # <<<<<<<<<<<<<<
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr)
 */

  /* function exit code */
}

/* "linalg.pxd":214
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* x,             # <<<<<<<<<<<<<<
 *             const weight_t* y, int32_t nr) nogil:
 *         cdef int i
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6VecVec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;

  /* "linalg.pxd":217
 *             const weight_t* y, int32_t nr) nogil:
 *         cdef int i
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             x[i] *= y[i]
 * 
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":218
 *         cdef int i
 *         for i in range(nr):
 *             x[i] *= y[i]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_t_4 = __pyx_v_i;
    (__pyx_v_x[__pyx_t_4]) = ((__pyx_v_x[__pyx_t_4]) * (__pyx_v_y[__pyx_v_i]));
  }

  /* "linalg.pxd":214
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* x,             # <<<<<<<<<<<<<<
 *             const weight_t* y, int32_t nr) nogil:
 *         cdef int i
 */

  /* function exit code */
}

/* "linalg.pxd":221
 * 
 *     @staticmethod
 *     cdef inline weight_t dot(             # <<<<<<<<<<<<<<
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         cdef int i
 */

static CYTHON_INLINE __pyx_t_5thinc_8typedefs_weight_t __pyx_f_5thinc_6linalg_6VecVec_dot(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr) {
  int __pyx_v_i;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_total;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_r;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":224
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         cdef int i
 *         cdef weight_t total = 0             # <<<<<<<<<<<<<<
 *         for i in range(nr):
 *             total += x[i] * y[i]
 */
  __pyx_v_total = 0.0;

  /* "linalg.pxd":225
 *         cdef int i
 *         cdef weight_t total = 0
 *         for i in range(nr):             # <<<<<<<<<<<<<<
 *             total += x[i] * y[i]
 *         return total
 */
  __pyx_t_1 = __pyx_v_nr;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":226
 *         cdef weight_t total = 0
 *         for i in range(nr):
 *             total += x[i] * y[i]             # <<<<<<<<<<<<<<
 *         return total
 * 
 */
    __pyx_v_total = (__pyx_v_total + ((__pyx_v_x[__pyx_v_i]) * (__pyx_v_y[__pyx_v_i])));
  }

  /* "linalg.pxd":227
 *         for i in range(nr):
 *             total += x[i] * y[i]
 *         return total             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = __pyx_v_total;
  goto __pyx_L0;

  /* "linalg.pxd":221
 * 
 *     @staticmethod
 *     cdef inline weight_t dot(             # <<<<<<<<<<<<<<
 *             const weight_t* x, const weight_t* y, int32_t nr) nogil:
 *         cdef int i
 */

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

/* "linalg.pxd":230
 * 
 *     @staticmethod
 *     cdef inline int arg_max_if_true(             # <<<<<<<<<<<<<<
 *             const weight_t* scores, const int* is_valid, const int n_classes) nogil:
 *         cdef int i
 */

static CYTHON_INLINE int __pyx_f_5thinc_6linalg_6VecVec_arg_max_if_true(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_scores, int const *__pyx_v_is_valid, int const __pyx_v_n_classes) {
  int __pyx_v_i;
  int __pyx_v_best;
  int __pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "linalg.pxd":233
 *             const weight_t* scores, const int* is_valid, const int n_classes) nogil:
 *         cdef int i
 *         cdef int best = -1             # <<<<<<<<<<<<<<
 *         for i in range(n_classes):
 *             if is_valid[i] and (best == -1 or scores[i] > scores[best]):
 */
  __pyx_v_best = -1;

  /* "linalg.pxd":234
 *         cdef int i
 *         cdef int best = -1
 *         for i in range(n_classes):             # <<<<<<<<<<<<<<
 *             if is_valid[i] and (best == -1 or scores[i] > scores[best]):
 *                 best = i
 */
  __pyx_t_1 = __pyx_v_n_classes;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":235
 *         cdef int best = -1
 *         for i in range(n_classes):
 *             if is_valid[i] and (best == -1 or scores[i] > scores[best]):             # <<<<<<<<<<<<<<
 *                 best = i
 *         return best
 */
    __pyx_t_5 = ((__pyx_v_is_valid[__pyx_v_i]) != 0);
    if (__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_best == -1L) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = (((__pyx_v_scores[__pyx_v_i]) > (__pyx_v_scores[__pyx_v_best])) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "linalg.pxd":236
 *         for i in range(n_classes):
 *             if is_valid[i] and (best == -1 or scores[i] > scores[best]):
 *                 best = i             # <<<<<<<<<<<<<<
 *         return best
 * 
 */
      __pyx_v_best = __pyx_v_i;

      /* "linalg.pxd":235
 *         cdef int best = -1
 *         for i in range(n_classes):
 *             if is_valid[i] and (best == -1 or scores[i] > scores[best]):             # <<<<<<<<<<<<<<
 *                 best = i
 *         return best
 */
    }
  }

  /* "linalg.pxd":237
 *             if is_valid[i] and (best == -1 or scores[i] > scores[best]):
 *                 best = i
 *         return best             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_r = __pyx_v_best;
  goto __pyx_L0;

  /* "linalg.pxd":230
 * 
 *     @staticmethod
 *     cdef inline int arg_max_if_true(             # <<<<<<<<<<<<<<
 *             const weight_t* scores, const int* is_valid, const int n_classes) nogil:
 *         cdef int i
 */

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

/* "linalg.pxd":240
 * 
 *     @staticmethod
 *     cdef inline int arg_max_if_zero(             # <<<<<<<<<<<<<<
 *             const weight_t* scores, const weight_t* costs, const int n_classes) nogil:
 *         cdef int i
 */

static CYTHON_INLINE int __pyx_f_5thinc_6linalg_6VecVec_arg_max_if_zero(__pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_scores, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_costs, int const __pyx_v_n_classes) {
  int __pyx_v_i;
  int __pyx_v_best;
  int __pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;

  /* "linalg.pxd":243
 *             const weight_t* scores, const weight_t* costs, const int n_classes) nogil:
 *         cdef int i
 *         cdef int best = -1             # <<<<<<<<<<<<<<
 *         for i in range(n_classes):
 *             if costs[i] == 0 and (best == -1 or scores[i] > scores[best]):
 */
  __pyx_v_best = -1;

  /* "linalg.pxd":244
 *         cdef int i
 *         cdef int best = -1
 *         for i in range(n_classes):             # <<<<<<<<<<<<<<
 *             if costs[i] == 0 and (best == -1 or scores[i] > scores[best]):
 *                 best = i
 */
  __pyx_t_1 = __pyx_v_n_classes;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":245
 *         cdef int best = -1
 *         for i in range(n_classes):
 *             if costs[i] == 0 and (best == -1 or scores[i] > scores[best]):             # <<<<<<<<<<<<<<
 *                 best = i
 *         return best
 */
    __pyx_t_5 = (((__pyx_v_costs[__pyx_v_i]) == 0.0) != 0);
    if (__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = ((__pyx_v_best == -1L) != 0);
    if (!__pyx_t_5) {
    } else {
      __pyx_t_4 = __pyx_t_5;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_5 = (((__pyx_v_scores[__pyx_v_i]) > (__pyx_v_scores[__pyx_v_best])) != 0);
    __pyx_t_4 = __pyx_t_5;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_4) {

      /* "linalg.pxd":246
 *         for i in range(n_classes):
 *             if costs[i] == 0 and (best == -1 or scores[i] > scores[best]):
 *                 best = i             # <<<<<<<<<<<<<<
 *         return best
 * 
 */
      __pyx_v_best = __pyx_v_i;

      /* "linalg.pxd":245
 *         cdef int best = -1
 *         for i in range(n_classes):
 *             if costs[i] == 0 and (best == -1 or scores[i] > scores[best]):             # <<<<<<<<<<<<<<
 *                 best = i
 *         return best
 */
    }
  }

  /* "linalg.pxd":247
 *             if costs[i] == 0 and (best == -1 or scores[i] > scores[best]):
 *                 best = i
 *         return best             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_best;
  goto __pyx_L0;

  /* "linalg.pxd":240
 * 
 *     @staticmethod
 *     cdef inline int arg_max_if_zero(             # <<<<<<<<<<<<<<
 *             const weight_t* scores, const weight_t* costs, const int n_classes) nogil:
 *         cdef int i
 */

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

/* "linalg.pxd":252
 * cdef class Mat:
 *     @staticmethod
 *     cdef inline void mean_row(weight_t* Ex,             # <<<<<<<<<<<<<<
 *             const weight_t* mat, int32_t nr_row, int32_t nr_col) nogil:
 *         memset(Ex, 0, sizeof(Ex[0]) * nr_col)
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Mat_mean_row(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_Ex, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int32_t __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int32_t __pyx_t_3;

  /* "linalg.pxd":254
 *     cdef inline void mean_row(weight_t* Ex,
 *             const weight_t* mat, int32_t nr_row, int32_t nr_col) nogil:
 *         memset(Ex, 0, sizeof(Ex[0]) * nr_col)             # <<<<<<<<<<<<<<
 *         for i in range(nr_row):
 *             VecVec.add_i(Ex, &mat[i * nr_col], 1.0, nr_col)
 */
  (void)(memset(__pyx_v_Ex, 0, ((sizeof((__pyx_v_Ex[0]))) * __pyx_v_nr_col)));

  /* "linalg.pxd":255
 *             const weight_t* mat, int32_t nr_row, int32_t nr_col) nogil:
 *         memset(Ex, 0, sizeof(Ex[0]) * nr_col)
 *         for i in range(nr_row):             # <<<<<<<<<<<<<<
 *             VecVec.add_i(Ex, &mat[i * nr_col], 1.0, nr_col)
 *         Vec.mul_i(Ex, 1.0 / nr_row, nr_col)
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":256
 *         memset(Ex, 0, sizeof(Ex[0]) * nr_col)
 *         for i in range(nr_row):
 *             VecVec.add_i(Ex, &mat[i * nr_col], 1.0, nr_col)             # <<<<<<<<<<<<<<
 *         Vec.mul_i(Ex, 1.0 / nr_row, nr_col)
 * 
 */
    __pyx_f_5thinc_6linalg_6VecVec_add_i(__pyx_v_Ex, (&(__pyx_v_mat[(__pyx_v_i * __pyx_v_nr_col)])), 1.0, __pyx_v_nr_col);
  }

  /* "linalg.pxd":257
 *         for i in range(nr_row):
 *             VecVec.add_i(Ex, &mat[i * nr_col], 1.0, nr_col)
 *         Vec.mul_i(Ex, 1.0 / nr_row, nr_col)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_3Vec_mul_i(__pyx_v_Ex, (1.0 / __pyx_v_nr_row), __pyx_v_nr_col);

  /* "linalg.pxd":252
 * cdef class Mat:
 *     @staticmethod
 *     cdef inline void mean_row(weight_t* Ex,             # <<<<<<<<<<<<<<
 *             const weight_t* mat, int32_t nr_row, int32_t nr_col) nogil:
 *         memset(Ex, 0, sizeof(Ex[0]) * nr_col)
 */

  /* function exit code */
}

/* "linalg.pxd":260
 * 
 *     @staticmethod
 *     cdef inline void var_row(weight_t* Vx,             # <<<<<<<<<<<<<<
 *             const weight_t* mat, const weight_t* Ex,
 *             int32_t nr_row, int32_t nr_col, weight_t eps) nogil:
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_3Mat_var_row(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_Vx, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_Ex, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_eps) {
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_sum_;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_sum2;
  int32_t __pyx_v_i;
  int32_t __pyx_v_j;
  __pyx_t_5thinc_8typedefs_weight_t __pyx_v_x;
  int __pyx_t_1;
  int __pyx_t_2;
  int32_t __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int32_t __pyx_t_6;
  int32_t __pyx_t_7;
  int32_t __pyx_t_8;

  /* "linalg.pxd":264
 *             int32_t nr_row, int32_t nr_col, weight_t eps) nogil:
 *         # From https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
 *         if nr_row == 0 or nr_col == 0:             # <<<<<<<<<<<<<<
 *             return
 *         cdef weight_t sum_, sum2
 */
  __pyx_t_2 = ((__pyx_v_nr_row == 0) != 0);
  if (!__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L4_bool_binop_done;
  }
  __pyx_t_2 = ((__pyx_v_nr_col == 0) != 0);
  __pyx_t_1 = __pyx_t_2;
  __pyx_L4_bool_binop_done:;
  if (__pyx_t_1) {

    /* "linalg.pxd":265
 *         # From https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
 *         if nr_row == 0 or nr_col == 0:
 *             return             # <<<<<<<<<<<<<<
 *         cdef weight_t sum_, sum2
 *         for i in range(nr_col):
 */
    goto __pyx_L0;

    /* "linalg.pxd":264
 *             int32_t nr_row, int32_t nr_col, weight_t eps) nogil:
 *         # From https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
 *         if nr_row == 0 or nr_col == 0:             # <<<<<<<<<<<<<<
 *             return
 *         cdef weight_t sum_, sum2
 */
  }

  /* "linalg.pxd":267
 *             return
 *         cdef weight_t sum_, sum2
 *         for i in range(nr_col):             # <<<<<<<<<<<<<<
 *             sum_ = 0.0
 *             sum2 = 0.0
 */
  __pyx_t_3 = __pyx_v_nr_col;
  __pyx_t_4 = __pyx_t_3;
  for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
    __pyx_v_i = __pyx_t_5;

    /* "linalg.pxd":268
 *         cdef weight_t sum_, sum2
 *         for i in range(nr_col):
 *             sum_ = 0.0             # <<<<<<<<<<<<<<
 *             sum2 = 0.0
 *             for j in range(nr_row):
 */
    __pyx_v_sum_ = 0.0;

    /* "linalg.pxd":269
 *         for i in range(nr_col):
 *             sum_ = 0.0
 *             sum2 = 0.0             # <<<<<<<<<<<<<<
 *             for j in range(nr_row):
 *                 x = mat[j * nr_col + i]
 */
    __pyx_v_sum2 = 0.0;

    /* "linalg.pxd":270
 *             sum_ = 0.0
 *             sum2 = 0.0
 *             for j in range(nr_row):             # <<<<<<<<<<<<<<
 *                 x = mat[j * nr_col + i]
 *                 sum2 += (x - Ex[i]) ** 2
 */
    __pyx_t_6 = __pyx_v_nr_row;
    __pyx_t_7 = __pyx_t_6;
    for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
      __pyx_v_j = __pyx_t_8;

      /* "linalg.pxd":271
 *             sum2 = 0.0
 *             for j in range(nr_row):
 *                 x = mat[j * nr_col + i]             # <<<<<<<<<<<<<<
 *                 sum2 += (x - Ex[i]) ** 2
 *                 sum_ += x - Ex[i]
 */
      __pyx_v_x = (__pyx_v_mat[((__pyx_v_j * __pyx_v_nr_col) + __pyx_v_i)]);

      /* "linalg.pxd":272
 *             for j in range(nr_row):
 *                 x = mat[j * nr_col + i]
 *                 sum2 += (x - Ex[i]) ** 2             # <<<<<<<<<<<<<<
 *                 sum_ += x - Ex[i]
 *             Vx[i] = (sum2 - sum_**2 / nr_row) / nr_row
 */
      __pyx_v_sum2 = (__pyx_v_sum2 + powf((__pyx_v_x - (__pyx_v_Ex[__pyx_v_i])), 2.0));

      /* "linalg.pxd":273
 *                 x = mat[j * nr_col + i]
 *                 sum2 += (x - Ex[i]) ** 2
 *                 sum_ += x - Ex[i]             # <<<<<<<<<<<<<<
 *             Vx[i] = (sum2 - sum_**2 / nr_row) / nr_row
 *             Vx[i] += eps
 */
      __pyx_v_sum_ = (__pyx_v_sum_ + (__pyx_v_x - (__pyx_v_Ex[__pyx_v_i])));
    }

    /* "linalg.pxd":274
 *                 sum2 += (x - Ex[i]) ** 2
 *                 sum_ += x - Ex[i]
 *             Vx[i] = (sum2 - sum_**2 / nr_row) / nr_row             # <<<<<<<<<<<<<<
 *             Vx[i] += eps
 * 
 */
    (__pyx_v_Vx[__pyx_v_i]) = ((__pyx_v_sum2 - (powf(__pyx_v_sum_, 2.0) / __pyx_v_nr_row)) / __pyx_v_nr_row);

    /* "linalg.pxd":275
 *                 sum_ += x - Ex[i]
 *             Vx[i] = (sum2 - sum_**2 / nr_row) / nr_row
 *             Vx[i] += eps             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_t_6 = __pyx_v_i;
    (__pyx_v_Vx[__pyx_t_6]) = ((__pyx_v_Vx[__pyx_t_6]) + __pyx_v_eps);
  }

  /* "linalg.pxd":260
 * 
 *     @staticmethod
 *     cdef inline void var_row(weight_t* Vx,             # <<<<<<<<<<<<<<
 *             const weight_t* mat, const weight_t* Ex,
 *             int32_t nr_row, int32_t nr_col, weight_t eps) nogil:
 */

  /* function exit code */
  __pyx_L0:;
}

/* "linalg.pxd":280
 * cdef class MatVec:
 *     @staticmethod
 *     cdef inline void add_i(weight_t* mat,             # <<<<<<<<<<<<<<
 *             const weight_t* vec, weight_t scale, int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, __pyx_t_5thinc_8typedefs_weight_t __pyx_v_scale, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_i;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":283
 *             const weight_t* vec, weight_t scale, int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i
 *         for i in range(nr_row):             # <<<<<<<<<<<<<<
 *             VecVec.add_i(mat + (i * nr_col),
 *                 vec, scale, nr_col)
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":284
 *         cdef int i
 *         for i in range(nr_row):
 *             VecVec.add_i(mat + (i * nr_col),             # <<<<<<<<<<<<<<
 *                 vec, scale, nr_col)
 * 
 */
    __pyx_f_5thinc_6linalg_6VecVec_add_i((__pyx_v_mat + (__pyx_v_i * __pyx_v_nr_col)), __pyx_v_vec, __pyx_v_scale, __pyx_v_nr_col);
  }

  /* "linalg.pxd":280
 * cdef class MatVec:
 *     @staticmethod
 *     cdef inline void add_i(weight_t* mat,             # <<<<<<<<<<<<<<
 *             const weight_t* vec, weight_t scale, int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i
 */

  /* function exit code */
}

/* "linalg.pxd":288
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* mat,
 *                          const weight_t* vec,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {

  /* "linalg.pxd":292
 *                          const weight_t* vec,
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         memcpy(output, mat, sizeof(output[0]) * nr_row * nr_col)             # <<<<<<<<<<<<<<
 *         MatVec.mul_i(output, vec, nr_row, nr_col)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_mat, (((sizeof((__pyx_v_output[0]))) * __pyx_v_nr_row) * __pyx_v_nr_col)));

  /* "linalg.pxd":293
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         memcpy(output, mat, sizeof(output[0]) * nr_row * nr_col)
 *         MatVec.mul_i(output, vec, nr_row, nr_col)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_6MatVec_mul_i(__pyx_v_output, __pyx_v_vec, __pyx_v_nr_row, __pyx_v_nr_col);

  /* "linalg.pxd":288
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* mat,
 *                          const weight_t* vec,
 */

  /* function exit code */
}

/* "linalg.pxd":296
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* mat,             # <<<<<<<<<<<<<<
 *                            const weight_t* vec,
 *                            int32_t nr_row, int32_t nr_col) nogil:
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_i;
  int __pyx_v_row;
  int __pyx_v_col;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;

  /* "linalg.pxd":300
 *                            int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i, row, col
 *         for i in range(nr_row):             # <<<<<<<<<<<<<<
 *             row = i * nr_col
 *             for col in range(nr_col):
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":301
 *         cdef int i, row, col
 *         for i in range(nr_row):
 *             row = i * nr_col             # <<<<<<<<<<<<<<
 *             for col in range(nr_col):
 *                 mat[row + col] *= vec[col]
 */
    __pyx_v_row = (__pyx_v_i * __pyx_v_nr_col);

    /* "linalg.pxd":302
 *         for i in range(nr_row):
 *             row = i * nr_col
 *             for col in range(nr_col):             # <<<<<<<<<<<<<<
 *                 mat[row + col] *= vec[col]
 * 
 */
    __pyx_t_4 = __pyx_v_nr_col;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_col = __pyx_t_6;

      /* "linalg.pxd":303
 *             row = i * nr_col
 *             for col in range(nr_col):
 *                 mat[row + col] *= vec[col]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
      __pyx_t_7 = (__pyx_v_row + __pyx_v_col);
      (__pyx_v_mat[__pyx_t_7]) = ((__pyx_v_mat[__pyx_t_7]) * (__pyx_v_vec[__pyx_v_col]));
    }
  }

  /* "linalg.pxd":296
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* mat,             # <<<<<<<<<<<<<<
 *                            const weight_t* vec,
 *                            int32_t nr_row, int32_t nr_col) nogil:
 */

  /* function exit code */
}

/* "linalg.pxd":306
 * 
 *     @staticmethod
 *     cdef inline void dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* mat,
 *                          const weight_t* vec,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_i;
  int __pyx_v_row;
  int __pyx_v_col;
  CYTHON_UNUSED double __pyx_v_zero;
  CYTHON_UNUSED int __pyx_v_nr_batch;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;

  /* "linalg.pxd":311
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i, row, col
 *         cdef double zero = 0.0             # <<<<<<<<<<<<<<
 *         cdef int nr_batch = 1
 *         IF USE_BLAS:
 */
  __pyx_v_zero = 0.0;

  /* "linalg.pxd":312
 *         cdef int i, row, col
 *         cdef double zero = 0.0
 *         cdef int nr_batch = 1             # <<<<<<<<<<<<<<
 *         IF USE_BLAS:
 *             openblas.simple_gemm(output,
 */
  __pyx_v_nr_batch = 1;

  /* "linalg.pxd":319
 *                 mat, nr_row, nr_col, 0, 1)
 *         ELSE:
 *             for i in range(nr_row):             # <<<<<<<<<<<<<<
 *                 row = i * nr_col
 *                 for col in range(nr_col):
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":320
 *         ELSE:
 *             for i in range(nr_row):
 *                 row = i * nr_col             # <<<<<<<<<<<<<<
 *                 for col in range(nr_col):
 *                     output[i] += mat[row + col] * vec[col]
 */
    __pyx_v_row = (__pyx_v_i * __pyx_v_nr_col);

    /* "linalg.pxd":321
 *             for i in range(nr_row):
 *                 row = i * nr_col
 *                 for col in range(nr_col):             # <<<<<<<<<<<<<<
 *                     output[i] += mat[row + col] * vec[col]
 * 
 */
    __pyx_t_4 = __pyx_v_nr_col;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_col = __pyx_t_6;

      /* "linalg.pxd":322
 *                 row = i * nr_col
 *                 for col in range(nr_col):
 *                     output[i] += mat[row + col] * vec[col]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
      __pyx_t_7 = __pyx_v_i;
      (__pyx_v_output[__pyx_t_7]) = ((__pyx_v_output[__pyx_t_7]) + ((__pyx_v_mat[(__pyx_v_row + __pyx_v_col)]) * (__pyx_v_vec[__pyx_v_col])));
    }
  }

  /* "linalg.pxd":306
 * 
 *     @staticmethod
 *     cdef inline void dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* mat,
 *                          const weight_t* vec,
 */

  /* function exit code */
}

/* "linalg.pxd":325
 * 
 *     @staticmethod
 *     cdef inline void batch_dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* mat,
 *                          const weight_t* vec,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_batch_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, int32_t __pyx_v_nr_batch) {
  CYTHON_UNUSED double __pyx_v_one;
  CYTHON_UNUSED int32_t __pyx_v_b;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int32_t __pyx_t_3;

  /* "linalg.pxd":340
 *         # out:   M * N
 *         cdef int i, row, col
 *         cdef double one = 1.0             # <<<<<<<<<<<<<<
 *         IF USE_BLAS:
 *             openblas.simple_gemm(output,
 */
  __pyx_v_one = 1.0;

  /* "linalg.pxd":347
 *                 mat, nr_row, nr_col, 0, 1)
 *         ELSE:
 *             for b in range(nr_batch):             # <<<<<<<<<<<<<<
 *                 MatVec.dot(output,
 *                     mat, vec, nr_row, nr_col)
 */
  __pyx_t_1 = __pyx_v_nr_batch;
  __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;

    /* "linalg.pxd":348
 *         ELSE:
 *             for b in range(nr_batch):
 *                 MatVec.dot(output,             # <<<<<<<<<<<<<<
 *                     mat, vec, nr_row, nr_col)
 *                 output += nr_row
 */
    __pyx_f_5thinc_6linalg_6MatVec_dot(__pyx_v_output, __pyx_v_mat, __pyx_v_vec, __pyx_v_nr_row, __pyx_v_nr_col);

    /* "linalg.pxd":350
 *                 MatVec.dot(output,
 *                     mat, vec, nr_row, nr_col)
 *                 output += nr_row             # <<<<<<<<<<<<<<
 *                 vec += nr_col
 * 
 */
    __pyx_v_output = (__pyx_v_output + __pyx_v_nr_row);

    /* "linalg.pxd":351
 *                     mat, vec, nr_row, nr_col)
 *                 output += nr_row
 *                 vec += nr_col             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
    __pyx_v_vec = (__pyx_v_vec + __pyx_v_nr_col);
  }

  /* "linalg.pxd":325
 * 
 *     @staticmethod
 *     cdef inline void batch_dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* mat,
 *                          const weight_t* vec,
 */

  /* function exit code */
}

/* "linalg.pxd":354
 * 
 *     @staticmethod
 *     cdef inline void T_dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                              const weight_t* mat,
 *                              const weight_t* vec,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_T_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_row;
  int __pyx_v_col;
  CYTHON_UNUSED double __pyx_v_zero;
  CYTHON_UNUSED double __pyx_v_one;
  CYTHON_UNUSED int __pyx_v_nr_batch;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;

  /* "linalg.pxd":360
 *                              int32_t nr_col) nogil:
 *         cdef int i, row, col
 *         cdef double zero = 0.0             # <<<<<<<<<<<<<<
 *         cdef double one = 1.0
 *         cdef int nr_batch = 1
 */
  __pyx_v_zero = 0.0;

  /* "linalg.pxd":361
 *         cdef int i, row, col
 *         cdef double zero = 0.0
 *         cdef double one = 1.0             # <<<<<<<<<<<<<<
 *         cdef int nr_batch = 1
 *         IF USE_BLAS:
 */
  __pyx_v_one = 1.0;

  /* "linalg.pxd":362
 *         cdef double zero = 0.0
 *         cdef double one = 1.0
 *         cdef int nr_batch = 1             # <<<<<<<<<<<<<<
 *         IF USE_BLAS:
 *             openblas.simple_gemm(output,
 */
  __pyx_v_nr_batch = 1;

  /* "linalg.pxd":369
 *                 mat, nr_row, nr_col, 0, 1)
 *         ELSE:
 *             for row in range(nr_row):             # <<<<<<<<<<<<<<
 *                 for col in range(nr_col):
 *                     output[col] += vec[row] * mat[(row * nr_col) + col]
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_row = __pyx_t_3;

    /* "linalg.pxd":370
 *         ELSE:
 *             for row in range(nr_row):
 *                 for col in range(nr_col):             # <<<<<<<<<<<<<<
 *                     output[col] += vec[row] * mat[(row * nr_col) + col]
 * 
 */
    __pyx_t_4 = __pyx_v_nr_col;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_col = __pyx_t_6;

      /* "linalg.pxd":371
 *             for row in range(nr_row):
 *                 for col in range(nr_col):
 *                     output[col] += vec[row] * mat[(row * nr_col) + col]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
      __pyx_t_7 = __pyx_v_col;
      (__pyx_v_output[__pyx_t_7]) = ((__pyx_v_output[__pyx_t_7]) + ((__pyx_v_vec[__pyx_v_row]) * (__pyx_v_mat[((__pyx_v_row * __pyx_v_nr_col) + __pyx_v_col)])));
    }
  }

  /* "linalg.pxd":354
 * 
 *     @staticmethod
 *     cdef inline void T_dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                              const weight_t* mat,
 *                              const weight_t* vec,
 */

  /* function exit code */
}

/* "linalg.pxd":374
 * 
 *     @staticmethod
 *     cdef inline void batch_T_dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                              const weight_t* mat,
 *                              const weight_t* vec,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatVec_batch_T_dot(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_vec, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, int32_t __pyx_v_nr_batch) {
  CYTHON_UNUSED int __pyx_v__;
  CYTHON_UNUSED double __pyx_v_one;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;

  /* "linalg.pxd":381
 *                              int32_t nr_batch) nogil:
 *         cdef int _
 *         cdef double one = 1.0             # <<<<<<<<<<<<<<
 *         IF USE_BLAS:
 *             # output is (nr_batch, nr_col)
 */
  __pyx_v_one = 1.0;

  /* "linalg.pxd":400
 *                 mat, nr_row, nr_col, 0, 0)
 *         ELSE:
 *             for _ in range(nr_batch):             # <<<<<<<<<<<<<<
 *                 MatVec.T_dot(output,
 *                     mat, vec, nr_row, nr_col)
 */
  __pyx_t_1 = __pyx_v_nr_batch;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v__ = __pyx_t_3;

    /* "linalg.pxd":401
 *         ELSE:
 *             for _ in range(nr_batch):
 *                 MatVec.T_dot(output,             # <<<<<<<<<<<<<<
 *                     mat, vec, nr_row, nr_col)
 *                 output += nr_col
 */
    __pyx_f_5thinc_6linalg_6MatVec_T_dot(__pyx_v_output, __pyx_v_mat, __pyx_v_vec, __pyx_v_nr_row, __pyx_v_nr_col);

    /* "linalg.pxd":403
 *                 MatVec.T_dot(output,
 *                     mat, vec, nr_row, nr_col)
 *                 output += nr_col             # <<<<<<<<<<<<<<
 *                 vec += nr_row
 * 
 */
    __pyx_v_output = (__pyx_v_output + __pyx_v_nr_col);

    /* "linalg.pxd":404
 *                     mat, vec, nr_row, nr_col)
 *                 output += nr_col
 *                 vec += nr_row             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_v_vec = (__pyx_v_vec + __pyx_v_nr_row);
  }

  /* "linalg.pxd":374
 * 
 *     @staticmethod
 *     cdef inline void batch_T_dot(weight_t* output,             # <<<<<<<<<<<<<<
 *                              const weight_t* mat,
 *                              const weight_t* vec,
 */

  /* function exit code */
}

/* "linalg.pxd":409
 * cdef class MatMat:
 *     @staticmethod
 *     cdef inline void add(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* x,
 *                          const weight_t* y,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {

  /* "linalg.pxd":413
 *                          const weight_t* y,
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr_row * nr_col)             # <<<<<<<<<<<<<<
 *         MatMat.add_i(output, y, nr_row, nr_col)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_x, (((sizeof((__pyx_v_output[0]))) * __pyx_v_nr_row) * __pyx_v_nr_col)));

  /* "linalg.pxd":414
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr_row * nr_col)
 *         MatMat.add_i(output, y, nr_row, nr_col)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_6MatMat_add_i(__pyx_v_output, __pyx_v_y, __pyx_v_nr_row, __pyx_v_nr_col);

  /* "linalg.pxd":409
 * cdef class MatMat:
 *     @staticmethod
 *     cdef inline void add(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* x,
 *                          const weight_t* y,
 */

  /* function exit code */
}

/* "linalg.pxd":417
 * 
 *     @staticmethod
 *     cdef inline void add_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            int32_t nr_row, int32_t nr_col) nogil:
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_i;
  int __pyx_v_row;
  int __pyx_v_col;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;

  /* "linalg.pxd":421
 *                            int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i, row, col
 *         for i in range(nr_row):             # <<<<<<<<<<<<<<
 *             row = i * nr_col
 *             for col in range(nr_col):
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":422
 *         cdef int i, row, col
 *         for i in range(nr_row):
 *             row = i * nr_col             # <<<<<<<<<<<<<<
 *             for col in range(nr_col):
 *                 x[row + col] += y[row + col]
 */
    __pyx_v_row = (__pyx_v_i * __pyx_v_nr_col);

    /* "linalg.pxd":423
 *         for i in range(nr_row):
 *             row = i * nr_col
 *             for col in range(nr_col):             # <<<<<<<<<<<<<<
 *                 x[row + col] += y[row + col]
 * 
 */
    __pyx_t_4 = __pyx_v_nr_col;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_col = __pyx_t_6;

      /* "linalg.pxd":424
 *             row = i * nr_col
 *             for col in range(nr_col):
 *                 x[row + col] += y[row + col]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
      __pyx_t_7 = (__pyx_v_row + __pyx_v_col);
      (__pyx_v_x[__pyx_t_7]) = ((__pyx_v_x[__pyx_t_7]) + (__pyx_v_y[(__pyx_v_row + __pyx_v_col)]));
    }
  }

  /* "linalg.pxd":417
 * 
 *     @staticmethod
 *     cdef inline void add_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            int32_t nr_row, int32_t nr_col) nogil:
 */

  /* function exit code */
}

/* "linalg.pxd":427
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* x,
 *                          const weight_t* y,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_mul(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {

  /* "linalg.pxd":431
 *                          const weight_t* y,
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr_row * nr_col)             # <<<<<<<<<<<<<<
 *         MatMat.mul_i(output, y, nr_row, nr_col)
 * 
 */
  (void)(memcpy(__pyx_v_output, __pyx_v_x, (((sizeof((__pyx_v_output[0]))) * __pyx_v_nr_row) * __pyx_v_nr_col)));

  /* "linalg.pxd":432
 *                          int32_t nr_row, int32_t nr_col) nogil:
 *         memcpy(output, x, sizeof(output[0]) * nr_row * nr_col)
 *         MatMat.mul_i(output, y, nr_row, nr_col)             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
  __pyx_f_5thinc_6linalg_6MatMat_mul_i(__pyx_v_output, __pyx_v_y, __pyx_v_nr_row, __pyx_v_nr_col);

  /* "linalg.pxd":427
 * 
 *     @staticmethod
 *     cdef inline void mul(weight_t* output,             # <<<<<<<<<<<<<<
 *                          const weight_t* x,
 *                          const weight_t* y,
 */

  /* function exit code */
}

/* "linalg.pxd":435
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            int32_t nr_row, int32_t nr_col) nogil:
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_mul_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_i;
  int __pyx_v_row;
  int __pyx_v_col;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;

  /* "linalg.pxd":439
 *                            int32_t nr_row, int32_t nr_col) nogil:
 *         cdef int i, row, col
 *         for i in range(nr_row):             # <<<<<<<<<<<<<<
 *             row = i * nr_col
 *             for col in range(nr_col):
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":440
 *         cdef int i, row, col
 *         for i in range(nr_row):
 *             row = i * nr_col             # <<<<<<<<<<<<<<
 *             for col in range(nr_col):
 *                 x[row + col] *= y[row + col]
 */
    __pyx_v_row = (__pyx_v_i * __pyx_v_nr_col);

    /* "linalg.pxd":441
 *         for i in range(nr_row):
 *             row = i * nr_col
 *             for col in range(nr_col):             # <<<<<<<<<<<<<<
 *                 x[row + col] *= y[row + col]
 * 
 */
    __pyx_t_4 = __pyx_v_nr_col;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_col = __pyx_t_6;

      /* "linalg.pxd":442
 *             row = i * nr_col
 *             for col in range(nr_col):
 *                 x[row + col] *= y[row + col]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
      __pyx_t_7 = (__pyx_v_row + __pyx_v_col);
      (__pyx_v_x[__pyx_t_7]) = ((__pyx_v_x[__pyx_t_7]) * (__pyx_v_y[(__pyx_v_row + __pyx_v_col)]));
    }
  }

  /* "linalg.pxd":435
 * 
 *     @staticmethod
 *     cdef inline void mul_i(weight_t* x,             # <<<<<<<<<<<<<<
 *                            const weight_t* y,
 *                            int32_t nr_row, int32_t nr_col) nogil:
 */

  /* function exit code */
}

/* "linalg.pxd":445
 * 
 *     @staticmethod
 *     cdef inline void add_outer_i(weight_t* mat,             # <<<<<<<<<<<<<<
 *                                  const weight_t* x,
 *                                  const weight_t* y,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_add_outer_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_mat, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col) {
  int __pyx_v_i;
  int __pyx_v_j;
  int __pyx_v_row;
  CYTHON_UNUSED double __pyx_v_one;
  CYTHON_UNUSED float __pyx_v_alpha;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;

  /* "linalg.pxd":451
 *                                  int32_t nr_col) nogil:
 *         cdef int i, j, row
 *         cdef double one = 1.0             # <<<<<<<<<<<<<<
 *         cdef float alpha = 1.0
 *         IF USE_BLAS:
 */
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  /* "linalg.pxd":452
 *         cdef int i, j, row
 *         cdef double one = 1.0
 *         cdef float alpha = 1.0             # <<<<<<<<<<<<<<
 *         IF USE_BLAS:
 *             openblas.simple_ger(mat, nr_row, nr_col,
 */
  __pyx_v_alpha = 1.0;

  /* "linalg.pxd":457
 *                 x, nr_row, y, nr_col)
 *         ELSE:
 *             for i in range(nr_row):             # <<<<<<<<<<<<<<
 *                 row = i * nr_col
 *                 for j in range(nr_col):
 */
  __pyx_t_1 = __pyx_v_nr_row;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "linalg.pxd":458
 *         ELSE:
 *             for i in range(nr_row):
 *                 row = i * nr_col             # <<<<<<<<<<<<<<
 *                 for j in range(nr_col):
 *                     mat[row + j] += x[i] * y[j]
 */
    __pyx_v_row = (__pyx_v_i * __pyx_v_nr_col);

    /* "linalg.pxd":459
 *             for i in range(nr_row):
 *                 row = i * nr_col
 *                 for j in range(nr_col):             # <<<<<<<<<<<<<<
 *                     mat[row + j] += x[i] * y[j]
 * 
 */
    __pyx_t_4 = __pyx_v_nr_col;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_j = __pyx_t_6;

      /* "linalg.pxd":460
 *                 row = i * nr_col
 *                 for j in range(nr_col):
 *                     mat[row + j] += x[i] * y[j]             # <<<<<<<<<<<<<<
 * 
 *     @staticmethod
 */
      __pyx_t_7 = (__pyx_v_row + __pyx_v_j);
      (__pyx_v_mat[__pyx_t_7]) = ((__pyx_v_mat[__pyx_t_7]) + ((__pyx_v_x[__pyx_v_i]) * (__pyx_v_y[__pyx_v_j])));
    }
  }

  /* "linalg.pxd":445
 * 
 *     @staticmethod
 *     cdef inline void add_outer_i(weight_t* mat,             # <<<<<<<<<<<<<<
 *                                  const weight_t* x,
 *                                  const weight_t* y,
 */

  /* function exit code */
}

/* "linalg.pxd":463
 * 
 *     @staticmethod
 *     cdef inline void batch_add_outer_i(weight_t* output,             # <<<<<<<<<<<<<<
 *                                  const weight_t* x,
 *                                  const weight_t* y,
 */

static CYTHON_INLINE void __pyx_f_5thinc_6linalg_6MatMat_batch_add_outer_i(__pyx_t_5thinc_8typedefs_weight_t *__pyx_v_output, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_x, __pyx_t_5thinc_8typedefs_weight_t const *__pyx_v_y, int32_t __pyx_v_nr_row, int32_t __pyx_v_nr_col, int32_t __pyx_v_nr_batch) {
  CYTHON_UNUSED double __pyx_v_one;
  CYTHON_UNUSED int32_t __pyx_v__;
  int32_t __pyx_v_i;
  int32_t __pyx_v_row;
  int32_t __pyx_v_j;
  int32_t __pyx_t_1;
  int32_t __pyx_t_2;
  int32_t __pyx_t_3;
  int32_t __pyx_t_4;
  int32_t __pyx_t_5;
  int32_t __pyx_t_6;
  int32_t __pyx_t_7;
  int32_t __pyx_t_8;
  int32_t __pyx_t_9;
  int32_t __pyx_t_10;

  /* "linalg.pxd":481
 *         # y:    K * N
 *         # out:  M * N
 *         cdef double one = 1.0             # <<<<<<<<<<<<<<
 *         IF USE_BLAS:
 *             openblas.simple_gemm(output,
 */
  __pyx_v_one = 1.0;

  /* "linalg.pxd":488
 *                 y, nr_row, nr_col, 0, 0)
 *         ELSE:
 *             for _ in range(nr_batch):             # <<<<<<<<<<<<<<
 *                 for i in range(nr_row):
 *                     row = i * nr_col
 */
  __pyx_t_1 = __pyx_v_nr_batch;
  __pyx_t_2 = __pyx_t_1;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v__ = __pyx_t_3;

    /* "linalg.pxd":489
 *         ELSE:
 *             for _ in range(nr_batch):
 *                 for i in range(nr_row):             # <<<<<<<<<<<<<<
 *                     row = i * nr_col
 *                     for j in range(nr_col):
 */
    __pyx_t_4 = __pyx_v_nr_row;
    __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;

      /* "linalg.pxd":490
 *             for _ in range(nr_batch):
 *                 for i in range(nr_row):
 *                     row = i * nr_col             # <<<<<<<<<<<<<<
 *                     for j in range(nr_col):
 *                         output[row + j] += x[i] * y[j]
 */
      __pyx_v_row = (__pyx_v_i * __pyx_v_nr_col);

      /* "linalg.pxd":491
 *                 for i in range(nr_row):
 *                     row = i * nr_col
 *                     for j in range(nr_col):             # <<<<<<<<<<<<<<
 *                         output[row + j] += x[i] * y[j]
 *                 x += nr_row
 */
      __pyx_t_7 = __pyx_v_nr_col;
      __pyx_t_8 = __pyx_t_7;
      for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
        __pyx_v_j = __pyx_t_9;

        /* "linalg.pxd":492
 *                     row = i * nr_col
 *                     for j in range(nr_col):
 *                         output[row + j] += x[i] * y[j]             # <<<<<<<<<<<<<<
 *                 x += nr_row
 *                 y += nr_col
 */
        __pyx_t_10 = (__pyx_v_row + __pyx_v_j);
        (__pyx_v_output[__pyx_t_10]) = ((__pyx_v_output[__pyx_t_10]) + ((__pyx_v_x[__pyx_v_i]) * (__pyx_v_y[__pyx_v_j])));
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    /* "linalg.pxd":493
 *                     for j in range(nr_col):
 *                         output[row + j] += x[i] * y[j]
 *                 x += nr_row             # <<<<<<<<<<<<<<
 *                 y += nr_col
 */
    __pyx_v_x = (__pyx_v_x + __pyx_v_nr_row);

    /* "linalg.pxd":494
 *                         output[row + j] += x[i] * y[j]
 *                 x += nr_row
 *                 y += nr_col             # <<<<<<<<<<<<<<
 */
    __pyx_v_y = (__pyx_v_y + __pyx_v_nr_col);
  }

  /* "linalg.pxd":463
 * 
 *     @staticmethod
 *     cdef inline void batch_add_outer_i(weight_t* output,             # <<<<<<<<<<<<<<
 *                                  const weight_t* x,
 *                                  const weight_t* y,
 */

  /* function exit code */
}

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 *         # -- the details of this may change.
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 * 
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 * 
 * def MaxoutWindowEncoder(nr_unit, nr_iter):             # <<<<<<<<<<<<<<
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 */
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 * 
 * def _mwe_fwd(dim_t nr_iter, maxout, normalize, inputs, drop=0.):             # <<<<<<<<<<<<<<
 *     '''
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 */
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  /* "thinc/neural/_fast_maxout_cnn.pyx":1
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 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
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 */

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

  goto __pyx_L0;
  __pyx_L1_error:;
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/* --- Runtime support code --- */
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static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
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    p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
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/* PyObjectGetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
    PyTypeObject* tp = Py_TYPE(obj);
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        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;
}

/* RaiseArgTupleInvalid */
static void __Pyx_RaiseArgtupleInvalid(
    const char* func_name,
    int exact,
    Py_ssize_t num_min,
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    Py_ssize_t num_found)
{
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    if (exact) {
        more_or_less = "exactly";
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    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;
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                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;
}

/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
#include "frameobject.h"
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 = f->f_localsplus;
    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, int 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 .*/
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            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, nargs,
                               k, (int)nk,
                               d, (int)nd, kwdefs, closure);
#else
    result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
                               args, nargs,
                               k, (int)nk,
                               d, (int)nd, closure);
#endif
    Py_XDECREF(kwtuple);
done:
    Py_LeaveRecursiveCall();
    return result;
}
#endif
#endif

/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    PyObject *result;
    ternaryfunc call = 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

/* 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");
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    return result;
}
#endif

/* PyObjectCallNoArg */
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static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
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#endif
#ifdef __Pyx_CyFunction_USED
    if (likely(PyCFunction_Check(func) || __Pyx_TypeCheck(func, __pyx_CyFunctionType))) {
#else
    if (likely(PyCFunction_Check(func))) {
#endif
        if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
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    return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
}
#endif

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static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
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    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long x;
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#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = -(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]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = (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]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
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                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
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                        lla = (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]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
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                x = a + b;
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#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
    result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
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        Py_INCREF(result);
    } else if (unlikely(PyErr_Occurred())) {
        result = NULL;
    } else {
#else
    result = PyDict_GetItem(__pyx_d, name);
    if (likely(result)) {
        Py_INCREF(result);
    } else {
#endif
#else
    result = PyObject_GetItem(__pyx_d, name);
    if (!result) {
        PyErr_Clear();
#endif
        result = __Pyx_GetBuiltinName(name);
    }
    return result;
}

/* 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

/* ArgTypeTest */
      static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
    if (unlikely(!type)) {
        PyErr_SetString(PyExc_SystemError, "Missing type object");
        return 0;
    }
    else if (exact) {
        #if PY_MAJOR_VERSION == 2
        if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
        #endif
    }
    else {
        if (likely(__Pyx_TypeCheck(obj, type))) return 1;
    }
    PyErr_Format(PyExc_TypeError,
        "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
        name, type->tp_name, Py_TYPE(obj)->tp_name);
    return 0;
}

/* None */
      static CYTHON_INLINE void __Pyx_RaiseClosureNameError(const char *varname) {
    PyErr_Format(PyExc_NameError, "free variable '%s' referenced before assignment in enclosing scope", varname);
}

/* 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)));
    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)meth)) (self, args, nargs, NULL);
    } else {
        return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs);
    }
}
#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

/* FetchCommonType */
      static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) {
    PyObject* fake_module;
    PyTypeObject* cached_type = NULL;
    fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI);
    if (!fake_module) return NULL;
    Py_INCREF(fake_module);
    cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name);
    if (cached_type) {
        if (!PyType_Check((PyObject*)cached_type)) {
            PyErr_Format(PyExc_TypeError,
                "Shared Cython type %.200s is not a type object",
                type->tp_name);
            goto bad;
        }
        if (cached_type->tp_basicsize != type->tp_basicsize) {
            PyErr_Format(PyExc_TypeError,
                "Shared Cython type %.200s has the wrong size, try recompiling",
                type->tp_name);
            goto bad;
        }
    } else {
        if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;
        PyErr_Clear();
        if (PyType_Ready(type) < 0) goto bad;
        if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0)
            goto bad;
        Py_INCREF(type);
        cached_type = type;
    }
done:
    Py_DECREF(fake_module);
    return cached_type;
bad:
    Py_XDECREF(cached_type);
    cached_type = NULL;
    goto done;
}

/* CythonFunction */
      #include <structmember.h>
static PyObject *
__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure)
{
    if (unlikely(op->func_doc == NULL)) {
        if (op->func.m_ml->ml_doc) {
#if PY_MAJOR_VERSION >= 3
            op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc);
#else
            op->func_doc = PyString_FromString(op->func.m_ml->ml_doc);
#endif
            if (unlikely(op->func_doc == NULL))
                return NULL;
        } else {
            Py_INCREF(Py_None);
            return Py_None;
        }
    }
    Py_INCREF(op->func_doc);
    return op->func_doc;
}
static int
__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp = op->func_doc;
    if (value == NULL) {
        value = Py_None;
    }
    Py_INCREF(value);
    op->func_doc = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op)
{
    if (unlikely(op->func_name == NULL)) {
#if PY_MAJOR_VERSION >= 3
        op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name);
#else
        op->func_name = PyString_InternFromString(op->func.m_ml->ml_name);
#endif
        if (unlikely(op->func_name == NULL))
            return NULL;
    }
    Py_INCREF(op->func_name);
    return op->func_name;
}
static int
__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value))) {
#else
    if (unlikely(value == NULL || !PyString_Check(value))) {
#endif
        PyErr_SetString(PyExc_TypeError,
                        "__name__ must be set to a string object");
        return -1;
    }
    tmp = op->func_name;
    Py_INCREF(value);
    op->func_name = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op)
{
    Py_INCREF(op->func_qualname);
    return op->func_qualname;
}
static int
__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value))) {
#else
    if (unlikely(value == NULL || !PyString_Check(value))) {
#endif
        PyErr_SetString(PyExc_TypeError,
                        "__qualname__ must be set to a string object");
        return -1;
    }
    tmp = op->func_qualname;
    Py_INCREF(value);
    op->func_qualname = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure)
{
    PyObject *self;
    self = m->func_closure;
    if (self == NULL)
        self = Py_None;
    Py_INCREF(self);
    return self;
}
static PyObject *
__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op)
{
    if (unlikely(op->func_dict == NULL)) {
        op->func_dict = PyDict_New();
        if (unlikely(op->func_dict == NULL))
            return NULL;
    }
    Py_INCREF(op->func_dict);
    return op->func_dict;
}
static int
__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp;
    if (unlikely(value == NULL)) {
        PyErr_SetString(PyExc_TypeError,
               "function's dictionary may not be deleted");
        return -1;
    }
    if (unlikely(!PyDict_Check(value))) {
        PyErr_SetString(PyExc_TypeError,
               "setting function's dictionary to a non-dict");
        return -1;
    }
    tmp = op->func_dict;
    Py_INCREF(value);
    op->func_dict = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op)
{
    Py_INCREF(op->func_globals);
    return op->func_globals;
}
static PyObject *
__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op)
{
    Py_INCREF(Py_None);
    return Py_None;
}
static PyObject *
__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op)
{
    PyObject* result = (op->func_code) ? op->func_code : Py_None;
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) {
    int result = 0;
    PyObject *res = op->defaults_getter((PyObject *) op);
    if (unlikely(!res))
        return -1;
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    op->defaults_tuple = PyTuple_GET_ITEM(res, 0);
    Py_INCREF(op->defaults_tuple);
    op->defaults_kwdict = PyTuple_GET_ITEM(res, 1);
    Py_INCREF(op->defaults_kwdict);
    #else
    op->defaults_tuple = PySequence_ITEM(res, 0);
    if (unlikely(!op->defaults_tuple)) result = -1;
    else {
        op->defaults_kwdict = PySequence_ITEM(res, 1);
        if (unlikely(!op->defaults_kwdict)) result = -1;
    }
    #endif
    Py_DECREF(res);
    return result;
}
static int
__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value) {
    PyObject* tmp;
    if (!value) {
        value = Py_None;
    } else if (value != Py_None && !PyTuple_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__defaults__ must be set to a tuple object");
        return -1;
    }
    Py_INCREF(value);
    tmp = op->defaults_tuple;
    op->defaults_tuple = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op) {
    PyObject* result = op->defaults_tuple;
    if (unlikely(!result)) {
        if (op->defaults_getter) {
            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;
            result = op->defaults_tuple;
        } else {
            result = Py_None;
        }
    }
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value) {
    PyObject* tmp;
    if (!value) {
        value = Py_None;
    } else if (value != Py_None && !PyDict_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__kwdefaults__ must be set to a dict object");
        return -1;
    }
    Py_INCREF(value);
    tmp = op->defaults_kwdict;
    op->defaults_kwdict = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op) {
    PyObject* result = op->defaults_kwdict;
    if (unlikely(!result)) {
        if (op->defaults_getter) {
            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;
            result = op->defaults_kwdict;
        } else {
            result = Py_None;
        }
    }
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value) {
    PyObject* tmp;
    if (!value || value == Py_None) {
        value = NULL;
    } else if (!PyDict_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__annotations__ must be set to a dict object");
        return -1;
    }
    Py_XINCREF(value);
    tmp = op->func_annotations;
    op->func_annotations = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op) {
    PyObject* result = op->func_annotations;
    if (unlikely(!result)) {
        result = PyDict_New();
        if (unlikely(!result)) return NULL;
        op->func_annotations = result;
    }
    Py_INCREF(result);
    return result;
}
static PyGetSetDef __pyx_CyFunction_getsets[] = {
    {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},
    {(char *) "__doc__",  (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},
    {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},
    {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},
    {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0},
    {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0},
    {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},
    {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},
    {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},
    {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},
    {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},
    {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},
    {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},
    {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},
    {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},
    {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},
    {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0},
    {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0},
    {0, 0, 0, 0, 0}
};
static PyMemberDef __pyx_CyFunction_members[] = {
    {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0},
    {0, 0, 0,  0, 0}
};
static PyObject *
__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args)
{
#if PY_MAJOR_VERSION >= 3
    return PyUnicode_FromString(m->func.m_ml->ml_name);
#else
    return PyString_FromString(m->func.m_ml->ml_name);
#endif
}
static PyMethodDef __pyx_CyFunction_methods[] = {
    {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0},
    {0, 0, 0, 0}
};
#if PY_VERSION_HEX < 0x030500A0
#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist)
#else
#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist)
#endif
static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname,
                                      PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) {
    __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type);
    if (op == NULL)
        return NULL;
    op->flags = flags;
    __Pyx_CyFunction_weakreflist(op) = NULL;
    op->func.m_ml = ml;
    op->func.m_self = (PyObject *) op;
    Py_XINCREF(closure);
    op->func_closure = closure;
    Py_XINCREF(module);
    op->func.m_module = module;
    op->func_dict = NULL;
    op->func_name = NULL;
    Py_INCREF(qualname);
    op->func_qualname = qualname;
    op->func_doc = NULL;
    op->func_classobj = NULL;
    op->func_globals = globals;
    Py_INCREF(op->func_globals);
    Py_XINCREF(code);
    op->func_code = code;
    op->defaults_pyobjects = 0;
    op->defaults = NULL;
    op->defaults_tuple = NULL;
    op->defaults_kwdict = NULL;
    op->defaults_getter = NULL;
    op->func_annotations = NULL;
    PyObject_GC_Track(op);
    return (PyObject *) op;
}
static int
__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m)
{
    Py_CLEAR(m->func_closure);
    Py_CLEAR(m->func.m_module);
    Py_CLEAR(m->func_dict);
    Py_CLEAR(m->func_name);
    Py_CLEAR(m->func_qualname);
    Py_CLEAR(m->func_doc);
    Py_CLEAR(m->func_globals);
    Py_CLEAR(m->func_code);
    Py_CLEAR(m->func_classobj);
    Py_CLEAR(m->defaults_tuple);
    Py_CLEAR(m->defaults_kwdict);
    Py_CLEAR(m->func_annotations);
    if (m->defaults) {
        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);
        int i;
        for (i = 0; i < m->defaults_pyobjects; i++)
            Py_XDECREF(pydefaults[i]);
        PyObject_Free(m->defaults);
        m->defaults = NULL;
    }
    return 0;
}
static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m)
{
    if (__Pyx_CyFunction_weakreflist(m) != NULL)
        PyObject_ClearWeakRefs((PyObject *) m);
    __Pyx_CyFunction_clear(m);
    PyObject_GC_Del(m);
}
static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m)
{
    PyObject_GC_UnTrack(m);
    __Pyx__CyFunction_dealloc(m);
}
static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg)
{
    Py_VISIT(m->func_closure);
    Py_VISIT(m->func.m_module);
    Py_VISIT(m->func_dict);
    Py_VISIT(m->func_name);
    Py_VISIT(m->func_qualname);
    Py_VISIT(m->func_doc);
    Py_VISIT(m->func_globals);
    Py_VISIT(m->func_code);
    Py_VISIT(m->func_classobj);
    Py_VISIT(m->defaults_tuple);
    Py_VISIT(m->defaults_kwdict);
    if (m->defaults) {
        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);
        int i;
        for (i = 0; i < m->defaults_pyobjects; i++)
            Py_VISIT(pydefaults[i]);
    }
    return 0;
}
static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type)
{
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) {
        Py_INCREF(func);
        return func;
    }
    if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) {
        if (type == NULL)
            type = (PyObject *)(Py_TYPE(obj));
        return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type)));
    }
    if (obj == Py_None)
        obj = NULL;
    return __Pyx_PyMethod_New(func, obj, type);
}
static PyObject*
__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op)
{
#if PY_MAJOR_VERSION >= 3
    return PyUnicode_FromFormat("<cyfunction %U at %p>",
                                op->func_qualname, (void *)op);
#else
    return PyString_FromFormat("<cyfunction %s at %p>",
                               PyString_AsString(op->func_qualname), (void *)op);
#endif
}
static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) {
    PyCFunctionObject* f = (PyCFunctionObject*)func;
    PyCFunction meth = f->m_ml->ml_meth;
    Py_ssize_t size;
    switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) {
    case METH_VARARGS:
        if (likely(kw == NULL || PyDict_Size(kw) == 0))
            return (*meth)(self, arg);
        break;
    case METH_VARARGS | METH_KEYWORDS:
        return (*(PyCFunctionWithKeywords)meth)(self, arg, kw);
    case METH_NOARGS:
        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {
            size = PyTuple_GET_SIZE(arg);
            if (likely(size == 0))
                return (*meth)(self, NULL);
            PyErr_Format(PyExc_TypeError,
                "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)",
                f->m_ml->ml_name, size);
            return NULL;
        }
        break;
    case METH_O:
        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {
            size = PyTuple_GET_SIZE(arg);
            if (likely(size == 1)) {
                PyObject *result, *arg0;
                #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
                arg0 = PyTuple_GET_ITEM(arg, 0);
                #else
                arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL;
                #endif
                result = (*meth)(self, arg0);
                #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)
                Py_DECREF(arg0);
                #endif
                return result;
            }
            PyErr_Format(PyExc_TypeError,
                "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)",
                f->m_ml->ml_name, size);
            return NULL;
        }
        break;
    default:
        PyErr_SetString(PyExc_SystemError, "Bad call flags in "
                        "__Pyx_CyFunction_Call. METH_OLDARGS is no "
                        "longer supported!");
        return NULL;
    }
    PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments",
                 f->m_ml->ml_name);
    return NULL;
}
static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw);
}
static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) {
    PyObject *result;
    __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func;
    if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) {
        Py_ssize_t argc;
        PyObject *new_args;
        PyObject *self;
        argc = PyTuple_GET_SIZE(args);
        new_args = PyTuple_GetSlice(args, 1, argc);
        if (unlikely(!new_args))
            return NULL;
        self = PyTuple_GetItem(args, 0);
        if (unlikely(!self)) {
            Py_DECREF(new_args);
            return NULL;
        }
        result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw);
        Py_DECREF(new_args);
    } else {
        result = __Pyx_CyFunction_Call(func, args, kw);
    }
    return result;
}
static PyTypeObject __pyx_CyFunctionType_type = {
    PyVarObject_HEAD_INIT(0, 0)
    "cython_function_or_method",
    sizeof(__pyx_CyFunctionObject),
    0,
    (destructor) __Pyx_CyFunction_dealloc,
    0,
    0,
    0,
#if PY_MAJOR_VERSION < 3
    0,
#else
    0,
#endif
    (reprfunc) __Pyx_CyFunction_repr,
    0,
    0,
    0,
    0,
    __Pyx_CyFunction_CallAsMethod,
    0,
    0,
    0,
    0,
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,
    0,
    (traverseproc) __Pyx_CyFunction_traverse,
    (inquiry) __Pyx_CyFunction_clear,
    0,
#if PY_VERSION_HEX < 0x030500A0
    offsetof(__pyx_CyFunctionObject, func_weakreflist),
#else
    offsetof(PyCFunctionObject, m_weakreflist),
#endif
    0,
    0,
    __pyx_CyFunction_methods,
    __pyx_CyFunction_members,
    __pyx_CyFunction_getsets,
    0,
    0,
    __Pyx_CyFunction_descr_get,
    0,
    offsetof(__pyx_CyFunctionObject, func_dict),
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
#if PY_VERSION_HEX >= 0x030400a1
    0,
#endif
};
static int __pyx_CyFunction_init(void) {
    __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type);
    if (unlikely(__pyx_CyFunctionType == NULL)) {
        return -1;
    }
    return 0;
}
static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults = PyObject_Malloc(size);
    if (unlikely(!m->defaults))
        return PyErr_NoMemory();
    memset(m->defaults, 0, size);
    m->defaults_pyobjects = pyobjects;
    return m->defaults;
}
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults_tuple = tuple;
    Py_INCREF(tuple);
}
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults_kwdict = dict;
    Py_INCREF(dict);
}
static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->func_annotations = dict;
    Py_INCREF(dict);
}

/* PyObjectSetAttrStr */
          #if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_setattro))
        return tp->tp_setattro(obj, attr_name, value);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_setattr))
        return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value);
#endif
    return PyObject_SetAttr(obj, attr_name, value);
}
#endif

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

/* RaiseTooManyValuesToUnpack */
          static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
    PyErr_Format(PyExc_ValueError,
                 "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}

/* RaiseNeedMoreValuesToUnpack */
          static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
    PyErr_Format(PyExc_ValueError,
                 "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
                 index, (index == 1) ? "" : "s");
}

/* RaiseNoneIterError */
          static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}

/* SaveResetException */
          #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    #if PY_VERSION_HEX >= 0x030700A2
    *type = tstate->exc_state.exc_type;
    *value = tstate->exc_state.exc_value;
    *tb = tstate->exc_state.exc_traceback;
    #else
    *type = tstate->exc_type;
    *value = tstate->exc_value;
    *tb = tstate->exc_traceback;
    #endif
    Py_XINCREF(*type);
    Py_XINCREF(*value);
    Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    #if PY_VERSION_HEX >= 0x030700A2
    tmp_type = tstate->exc_state.exc_type;
    tmp_value = tstate->exc_state.exc_value;
    tmp_tb = tstate->exc_state.exc_traceback;
    tstate->exc_state.exc_type = type;
    tstate->exc_state.exc_value = value;
    tstate->exc_state.exc_traceback = tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = type;
    tstate->exc_value = value;
    tstate->exc_traceback = tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
#endif

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

/* GetException */
          #if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
#endif
    PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    local_type = tstate->curexc_type;
    local_value = tstate->curexc_value;
    local_tb = tstate->curexc_traceback;
    tstate->curexc_type = 0;
    tstate->curexc_value = 0;
    tstate->curexc_traceback = 0;
#else
    PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
    PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
    if (unlikely(tstate->curexc_type))
#else
    if (unlikely(PyErr_Occurred()))
#endif
        goto bad;
    #if PY_MAJOR_VERSION >= 3
    if (local_tb) {
        if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
            goto bad;
    }
    #endif
    Py_XINCREF(local_tb);
    Py_XINCREF(local_type);
    Py_XINCREF(local_value);
    *type = local_type;
    *value = local_value;
    *tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
    #if PY_VERSION_HEX >= 0x030700A2
    tmp_type = tstate->exc_state.exc_type;
    tmp_value = tstate->exc_state.exc_value;
    tmp_tb = tstate->exc_state.exc_traceback;
    tstate->exc_state.exc_type = local_type;
    tstate->exc_state.exc_value = local_value;
    tstate->exc_state.exc_traceback = local_tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = local_type;
    tstate->exc_value = local_value;
    tstate->exc_traceback = local_tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
#else
    PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
    return 0;
bad:
    *type = 0;
    *value = 0;
    *tb = 0;
    Py_XDECREF(local_type);
    Py_XDECREF(local_value);
    Py_XDECREF(local_tb);
    return -1;
}

/* PyObject_GenericGetAttrNoDict */
            #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
    PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
                 "'%.50s' object has no attribute '%U'",
                 tp->tp_name, attr_name);
#else
                 "'%.50s' object has no attribute '%.400s'",
                 tp->tp_name, PyString_AS_STRING(attr_name));
#endif
    return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
    PyObject *descr;
    PyTypeObject *tp = Py_TYPE(obj);
    if (unlikely(!PyString_Check(attr_name))) {
        return PyObject_GenericGetAttr(obj, attr_name);
    }
    assert(!tp->tp_dictoffset);
    descr = _PyType_Lookup(tp, attr_name);
    if (unlikely(!descr)) {
        return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
    }
    Py_INCREF(descr);
    #if PY_MAJOR_VERSION < 3
    if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
    #endif
    {
        descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
        if (unlikely(f)) {
            PyObject *res = f(descr, obj, (PyObject *)tp);
            Py_DECREF(descr);
            return res;
        }
    }
    return descr;
}
#endif

/* PyObject_GenericGetAttr */
            #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
    if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
        return PyObject_GenericGetAttr(obj, attr_name);
    }
    return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif

/* SetupReduce */
            static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
  int ret;
  PyObject *name_attr;
  name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name);
  if (likely(name_attr)) {
      ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
  } else {
      ret = -1;
  }
  if (unlikely(ret < 0)) {
      PyErr_Clear();
      ret = 0;
  }
  Py_XDECREF(name_attr);
  return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
    int ret = 0;
    PyObject *object_reduce = NULL;
    PyObject *object_reduce_ex = NULL;
    PyObject *reduce = NULL;
    PyObject *reduce_ex = NULL;
    PyObject *reduce_cython = NULL;
    PyObject *setstate = NULL;
    PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
    if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto GOOD;
#else
    if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
    object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#else
    object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#endif
    reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto BAD;
    if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
        object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#else
        object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#endif
        reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto BAD;
        if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
            reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto BAD;
            ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto BAD;
            ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto BAD;
            setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
            if (!setstate) PyErr_Clear();
            if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
                setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto BAD;
                ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto BAD;
                ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto BAD;
            }
            PyType_Modified((PyTypeObject*)type_obj);
        }
    }
    goto GOOD;
BAD:
    if (!PyErr_Occurred())
        PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
    ret = -1;
GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
    Py_XDECREF(object_reduce);
    Py_XDECREF(object_reduce_ex);
#endif
    Py_XDECREF(reduce);
    Py_XDECREF(reduce_ex);
    Py_XDECREF(reduce_cython);
    Py_XDECREF(setstate);
    Py_XDECREF(setstate_cython);
    return ret;
}

/* GetVTable */
            static void* __Pyx_GetVtable(PyObject *dict) {
    void* ptr;
    PyObject *ob = PyObject_GetItem(dict, __pyx_n_s_pyx_vtable);
    if (!ob)
        goto bad;
#if PY_VERSION_HEX >= 0x02070000
    ptr = PyCapsule_GetPointer(ob, 0);
#else
    ptr = PyCObject_AsVoidPtr(ob);
#endif
    if (!ptr && !PyErr_Occurred())
        PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type");
    Py_DECREF(ob);
    return ptr;
bad:
    Py_XDECREF(ob);
    return NULL;
}

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

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

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

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

/* AddTraceback */
            #include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
            const char *funcname, int c_line,
            int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyObject *py_srcfile = 0;
    PyObject *py_funcname = 0;
    #if PY_MAJOR_VERSION < 3
    py_srcfile = PyString_FromString(filename);
    #else
    py_srcfile = PyUnicode_FromString(filename);
    #endif
    if (!py_srcfile) goto bad;
    if (c_line) {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #else
        py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #endif
    }
    else {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromString(funcname);
        #else
        py_funcname = PyUnicode_FromString(funcname);
        #endif
    }
    if (!py_funcname) goto bad;
    py_code = __Pyx_PyCode_New(
        0,
        0,
        0,
        0,
        0,
        __pyx_empty_bytes, /*PyObject *code,*/
        __pyx_empty_tuple, /*PyObject *consts,*/
        __pyx_empty_tuple, /*PyObject *names,*/
        __pyx_empty_tuple, /*PyObject *varnames,*/
        __pyx_empty_tuple, /*PyObject *freevars,*/
        __pyx_empty_tuple, /*PyObject *cellvars,*/
        py_srcfile,   /*PyObject *filename,*/
        py_funcname,  /*PyObject *name,*/
        py_line,
        __pyx_empty_bytes  /*PyObject *lnotab*/
    );
    Py_DECREF(py_srcfile);
    Py_DECREF(py_funcname);
    return py_code;
bad:
    Py_XDECREF(py_srcfile);
    Py_XDECREF(py_funcname);
    return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyFrameObject *py_frame = 0;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    if (c_line) {
        c_line = __Pyx_CLineForTraceback(tstate, c_line);
    }
    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
    if (!py_code) {
        py_code = __Pyx_CreateCodeObjectForTraceback(
            funcname, c_line, py_line, filename);
        if (!py_code) goto bad;
        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
    }
    py_frame = PyFrame_New(
        tstate,            /*PyThreadState *tstate,*/
        py_code,           /*PyCodeObject *code,*/
        __pyx_d,    /*PyObject *globals,*/
        0                  /*PyObject *locals*/
    );
    if (!py_frame) goto bad;
    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
    PyTraceBack_Here(py_frame);
bad:
    Py_XDECREF(py_code);
    Py_XDECREF(py_frame);
}

/* 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_int(int value) {
    const int neg_one = (int) -1, const_zero = (int) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(int) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(int) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(int) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(int),
                                     little, !is_unsigned);
    }
}

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

/* CIntToPy */
            static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int32_t(int32_t value) {
    const int32_t neg_one = (int32_t) -1, const_zero = (int32_t) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(int32_t) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(int32_t) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int32_t) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(int32_t) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int32_t) <= 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(int32_t),
                                     little, !is_unsigned);
    }
}

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

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

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

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

/* CIntToPy */
            static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) {
    const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(enum NPY_TYPES) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
                                     little, !is_unsigned);
    }
}

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

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

/* CIntFromPy */
            static CYTHON_INLINE int32_t __Pyx_PyInt_As_int32_t(PyObject *x) {
    const int32_t neg_one = (int32_t) -1, const_zero = (int32_t) 0;
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(int32_t) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(int32_t, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (int32_t) 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 (int32_t) 0;
                case  1: __PYX_VERIFY_RETURN_INT(int32_t, digit, digits[0])
                case 2:
                    if (8 * sizeof(int32_t) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int32_t) >= 2 * PyLong_SHIFT) {
                            return (int32_t) (((((int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int32_t) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int32_t) >= 3 * PyLong_SHIFT) {
                            return (int32_t) (((((((int32_t)digits[2]) << PyLong_SHIFT) | (int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int32_t) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, 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(int32_t) >= 4 * PyLong_SHIFT) {
                            return (int32_t) (((((((((int32_t)digits[3]) << PyLong_SHIFT) | (int32_t)digits[2]) << PyLong_SHIFT) | (int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)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 (int32_t) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(int32_t) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int32_t, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int32_t) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int32_t, 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 (int32_t) 0;
                case -1: __PYX_VERIFY_RETURN_INT(int32_t, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(int32_t,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(int32_t) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int32_t) - 1 > 2 * PyLong_SHIFT) {
                            return (int32_t) (((int32_t)-1)*(((((int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(int32_t) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int32_t) - 1 > 2 * PyLong_SHIFT) {
                            return (int32_t) ((((((int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(int32_t) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int32_t) - 1 > 3 * PyLong_SHIFT) {
                            return (int32_t) (((int32_t)-1)*(((((((int32_t)digits[2]) << PyLong_SHIFT) | (int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int32_t) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int32_t) - 1 > 3 * PyLong_SHIFT) {
                            return (int32_t) ((((((((int32_t)digits[2]) << PyLong_SHIFT) | (int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(int32_t) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, 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(int32_t) - 1 > 4 * PyLong_SHIFT) {
                            return (int32_t) (((int32_t)-1)*(((((((((int32_t)digits[3]) << PyLong_SHIFT) | (int32_t)digits[2]) << PyLong_SHIFT) | (int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int32_t) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int32_t, 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(int32_t) - 1 > 4 * PyLong_SHIFT) {
                            return (int32_t) ((((((((((int32_t)digits[3]) << PyLong_SHIFT) | (int32_t)digits[2]) << PyLong_SHIFT) | (int32_t)digits[1]) << PyLong_SHIFT) | (int32_t)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(int32_t) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int32_t, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int32_t) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int32_t, 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
            int32_t 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 (int32_t) -1;
        }
    } else {
        int32_t val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (int32_t) -1;
        val = __Pyx_PyInt_As_int32_t(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to int32_t");
    return (int32_t) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to int32_t");
    return (int32_t) -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 CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
    if (likely(err == exc_type)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
    }
    return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
    if (likely(err == exc_type1 || err == exc_type2)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
    }
    return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif

/* CheckBinaryVersion */
            static int __Pyx_check_binary_version(void) {
    char ctversion[4], rtversion[4];
    PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
    PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
    if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
        char message[200];
        PyOS_snprintf(message, sizeof(message),
                      "compiletime version %s of module '%.100s' "
                      "does not match runtime version %s",
                      ctversion, __Pyx_MODULE_NAME, rtversion);
        return PyErr_WarnEx(NULL, message, 1);
    }
    return 0;
}

/* ModuleImport */
            #ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
    PyObject *py_name = 0;
    PyObject *py_module = 0;
    py_name = __Pyx_PyIdentifier_FromString(name);
    if (!py_name)
        goto bad;
    py_module = PyImport_Import(py_name);
    Py_DECREF(py_name);
    return py_module;
bad:
    Py_XDECREF(py_name);
    return 0;
}
#endif

/* TypeImport */
            #ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
    size_t size, int strict)
{
    PyObject *py_module = 0;
    PyObject *result = 0;
    PyObject *py_name = 0;
    char warning[200];
    Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
    PyObject *py_basicsize;
#endif
    py_module = __Pyx_ImportModule(module_name);
    if (!py_module)
        goto bad;
    py_name = __Pyx_PyIdentifier_FromString(class_name);
    if (!py_name)
        goto bad;
    result = PyObject_GetAttr(py_module, py_name);
    Py_DECREF(py_name);
    py_name = 0;
    Py_DECREF(py_module);
    py_module = 0;
    if (!result)
        goto bad;
    if (!PyType_Check(result)) {
        PyErr_Format(PyExc_TypeError,
            "%.200s.%.200s is not a type object",
            module_name, class_name);
        goto bad;
    }
#ifndef Py_LIMITED_API
    basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
    py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
    if (!py_basicsize)
        goto bad;
    basicsize = PyLong_AsSsize_t(py_basicsize);
    Py_DECREF(py_basicsize);
    py_basicsize = 0;
    if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
        goto bad;
#endif
    if (!strict && (size_t)basicsize > size) {
        PyOS_snprintf(warning, sizeof(warning),
            "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd",
            module_name, class_name, basicsize, size);
        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
    }
    else if ((size_t)basicsize != size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd",
            module_name, class_name, basicsize, size);
        goto bad;
    }
    return (PyTypeObject *)result;
bad:
    Py_XDECREF(py_module);
    Py_XDECREF(result);
    return NULL;
}
#endif

/* 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 PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
    if (PyLong_Check(result)) {
        if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
                "__int__ returned non-int (type %.200s).  "
                "The ability to return an instance of a strict subclass of int "
                "is deprecated, and may be removed in a future version of Python.",
                Py_TYPE(result)->tp_name)) {
            Py_DECREF(result);
            return NULL;
        }
        return result;
    }
#endif
    PyErr_Format(PyExc_TypeError,
                 "__%.4s__ returned non-%.4s (type %.200s)",
                 type_name, type_name, Py_TYPE(result)->tp_name);
    Py_DECREF(result);
    return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
  PyNumberMethods *m;
#endif
  const char *name = NULL;
  PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
  if (likely(PyLong_Check(x)))
#endif
    return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
  m = Py_TYPE(x)->tp_as_number;
  #if PY_MAJOR_VERSION < 3
  if (m && m->nb_int) {
    name = "int";
    res = m->nb_int(x);
  }
  else if (m && m->nb_long) {
    name = "long";
    res = m->nb_long(x);
  }
  #else
  if (likely(m && m->nb_int)) {
    name = "int";
    res = m->nb_int(x);
  }
  #endif
#else
  if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
    res = PyNumber_Int(x);
  }
#endif
  if (likely(res)) {
#if PY_MAJOR_VERSION < 3
    if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
    if (unlikely(!PyLong_CheckExact(res))) {
#endif
        return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
    }
  }
  else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_TypeError,
                    "an integer is required");
  }
  return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
  Py_ssize_t ival;
  PyObject *x;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_CheckExact(b))) {
    if (sizeof(Py_ssize_t) >= sizeof(long))
        return PyInt_AS_LONG(b);
    else
        return PyInt_AsSsize_t(x);
  }
#endif
  if (likely(PyLong_CheckExact(b))) {
    #if CYTHON_USE_PYLONG_INTERNALS
    const digit* digits = ((PyLongObject*)b)->ob_digit;
    const Py_ssize_t size = Py_SIZE(b);
    if (likely(__Pyx_sst_abs(size) <= 1)) {
        ival = likely(size) ? digits[0] : 0;
        if (size == -1) ival = -ival;
        return ival;
    } else {
      switch (size) {
         case 2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
      }
    }
    #endif
    return PyLong_AsSsize_t(b);
  }
  x = PyNumber_Index(b);
  if (!x) return -1;
  ival = PyInt_AsSsize_t(x);
  Py_DECREF(x);
  return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
    return PyInt_FromSize_t(ival);
}


#endif /* Py_PYTHON_H */
