/* Generated by Cython 0.24.1 */

#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 < 0x03020000)
    #error Cython requires Python 2.6+ or Python 3.2+.
#else
#define CYTHON_ABI "0_24_1"
#include <stddef.h>
#ifndef offsetof
  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
  #ifndef __stdcall
    #define __stdcall
  #endif
  #ifndef __cdecl
    #define __cdecl
  #endif
  #ifndef __fastcall
    #define __fastcall
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#endif
#ifndef DL_IMPORT
  #define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
  #define DL_EXPORT(t) t
#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_CPYTHON 0
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  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_CPYTHON 1
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#if !defined(CYTHON_USE_PYLONG_INTERNALS) && CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x02070000
  #define CYTHON_USE_PYLONG_INTERNALS 1
#endif
#if CYTHON_USE_PYLONG_INTERNALS
  #include "longintrepr.h"
  #undef SHIFT
  #undef BASE
  #undef MASK
#endif
#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
  #define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
  #define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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  #define __Pyx_DefaultClassType PyClass_Type
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  #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)\
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#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 > 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_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_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
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  #define CYTHON_PEP393_ENABLED 0
  #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_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_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)
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  #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
#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
#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
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#if PY_MAJOR_VERSION >= 3
  #define PyIntObject                  PyLongObject
  #define PyInt_Type                   PyLong_Type
  #define PyInt_Check(op)              PyLong_Check(op)
  #define PyInt_CheckExact(op)         PyLong_CheckExact(op)
  #define PyInt_FromString             PyLong_FromString
  #define PyInt_FromUnicode            PyLong_FromUnicode
  #define PyInt_FromLong               PyLong_FromLong
  #define PyInt_FromSize_t             PyLong_FromSize_t
  #define PyInt_FromSsize_t            PyLong_FromSsize_t
  #define PyInt_AsLong                 PyLong_AsLong
  #define PyInt_AS_LONG                PyLong_AS_LONG
  #define PyInt_AsSsize_t              PyLong_AsSsize_t
  #define PyInt_AsUnsignedLongMask     PyLong_AsUnsignedLongMask
  #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
  #define PyNumber_Int                 PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBoolObject                 PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
  #ifndef PyUnicode_InternFromString
    #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
  #endif
#endif
#if PY_VERSION_HEX < 0x030200A4
  typedef long Py_hash_t;
  #define __Pyx_PyInt_FromHash_t PyInt_FromLong
  #define __Pyx_PyInt_AsHash_t   PyInt_AsLong
#else
  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
  #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
#else
  #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#elif CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
typedef struct {
    unaryfunc am_await;
    unaryfunc am_aiter;
    unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#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
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)

#ifndef CYTHON_INLINE
  #if defined(__GNUC__)
    #define CYTHON_INLINE __inline__
  #elif defined(_MSC_VER)
    #define CYTHON_INLINE __inline
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_INLINE inline
  #else
    #define CYTHON_INLINE
  #endif
#endif

#if 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; \
}

#if PY_MAJOR_VERSION >= 3
  #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

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

#define __PYX_HAVE__sklearn__tree___criterion
#define __PYX_HAVE_API__sklearn__tree___criterion
#include "string.h"
#include "stdio.h"
#include "stdlib.h"
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include "math.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */

#ifdef PYREX_WITHOUT_ASSERTIONS
#define CYTHON_WITHOUT_ASSERTIONS
#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_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
#  define CYTHON_NCP_UNUSED
# else
#  define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#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) && defined (_M_X64)
    #define __Pyx_sst_abs(value) _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 char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE 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_PyObject_AsSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s)    ((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)
#if PY_MAJOR_VERSION < 3
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);
}
#else
#define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen
#endif
#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);
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_COMPILING_IN_CPYTHON
#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 PyObject *__pyx_m;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
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;

/* None.proto */
#if !defined(CYTHON_CCOMPLEX)
  #if defined(__cplusplus)
    #define CYTHON_CCOMPLEX 1
  #elif defined(_Complex_I)
    #define CYTHON_CCOMPLEX 1
  #else
    #define CYTHON_CCOMPLEX 0
  #endif
#endif
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    #include <complex>
  #else
    #include <complex.h>
  #endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
  #undef _Complex_I
  #define _Complex_I 1.0fj
#endif


static const char *__pyx_f[] = {
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  "__init__.pxd",
  "type.pxd",
  "sklearn/tree/_utils.pxd",
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  char typegroup;
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/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":725
 * # in Cython to enable them only on the right systems.
 * 
 * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t
 */
typedef npy_int8 __pyx_t_5numpy_int8_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":726
 * 
 * ctypedef npy_int8       int8_t
 * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int32      int32_t
 * ctypedef npy_int64      int64_t
 */
typedef npy_int16 __pyx_t_5numpy_int16_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":727
 * ctypedef npy_int8       int8_t
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int64      int64_t
 * #ctypedef npy_int96      int96_t
 */
typedef npy_int32 __pyx_t_5numpy_int32_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":728
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t
 * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_int96      int96_t
 * #ctypedef npy_int128     int128_t
 */
typedef npy_int64 __pyx_t_5numpy_int64_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":732
 * #ctypedef npy_int128     int128_t
 * 
 * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t
 */
typedef npy_uint8 __pyx_t_5numpy_uint8_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":733
 * 
 * ctypedef npy_uint8      uint8_t
 * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint32     uint32_t
 * ctypedef npy_uint64     uint64_t
 */
typedef npy_uint16 __pyx_t_5numpy_uint16_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":734
 * ctypedef npy_uint8      uint8_t
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint64     uint64_t
 * #ctypedef npy_uint96     uint96_t
 */
typedef npy_uint32 __pyx_t_5numpy_uint32_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":735
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t
 * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_uint96     uint96_t
 * #ctypedef npy_uint128    uint128_t
 */
typedef npy_uint64 __pyx_t_5numpy_uint64_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":739
 * #ctypedef npy_uint128    uint128_t
 * 
 * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_float64    float64_t
 * #ctypedef npy_float80    float80_t
 */
typedef npy_float32 __pyx_t_5numpy_float32_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":740
 * 
 * ctypedef npy_float32    float32_t
 * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_float80    float80_t
 * #ctypedef npy_float128   float128_t
 */
typedef npy_float64 __pyx_t_5numpy_float64_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":749
 * # The int types are mapped a bit surprising --
 * # numpy.int corresponds to 'l' and numpy.long to 'q'
 * ctypedef npy_long       int_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longlong   long_t
 * ctypedef npy_longlong   longlong_t
 */
typedef npy_long __pyx_t_5numpy_int_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":750
 * # numpy.int corresponds to 'l' and numpy.long to 'q'
 * ctypedef npy_long       int_t
 * ctypedef npy_longlong   long_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longlong   longlong_t
 * 
 */
typedef npy_longlong __pyx_t_5numpy_long_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":751
 * ctypedef npy_long       int_t
 * ctypedef npy_longlong   long_t
 * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_ulong      uint_t
 */
typedef npy_longlong __pyx_t_5numpy_longlong_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":753
 * ctypedef npy_longlong   longlong_t
 * 
 * ctypedef npy_ulong      uint_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulong_t
 * ctypedef npy_ulonglong  ulonglong_t
 */
typedef npy_ulong __pyx_t_5numpy_uint_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":754
 * 
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 */
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":755
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t
 * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_intp       intp_t
 */
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":757
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uintp      uintp_t
 * 
 */
typedef npy_intp __pyx_t_5numpy_intp_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":758
 * 
 * ctypedef npy_intp       intp_t
 * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_double     float_t
 */
typedef npy_uintp __pyx_t_5numpy_uintp_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":760
 * ctypedef npy_uintp      uintp_t
 * 
 * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
 * ctypedef npy_double     double_t
 * ctypedef npy_longdouble longdouble_t
 */
typedef npy_double __pyx_t_5numpy_float_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":761
 * 
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longdouble longdouble_t
 * 
 */
typedef npy_double __pyx_t_5numpy_double_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":762
 * 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;

/* "_utils.pxd":14
 * cimport numpy as np
 * 
 * ctypedef np.npy_float32 DTYPE_t          # Type of X             # <<<<<<<<<<<<<<
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 */
typedef npy_float32 __pyx_t_7sklearn_4tree_6_utils_DTYPE_t;

/* "_utils.pxd":15
 * 
 * ctypedef np.npy_float32 DTYPE_t          # Type of X
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight             # <<<<<<<<<<<<<<
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer
 */
typedef npy_float64 __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t;

/* "_utils.pxd":16
 * ctypedef np.npy_float32 DTYPE_t          # Type of X
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters             # <<<<<<<<<<<<<<
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer
 */
typedef npy_intp __pyx_t_7sklearn_4tree_6_utils_SIZE_t;

/* "_utils.pxd":17
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer             # <<<<<<<<<<<<<<
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer
 * 
 */
typedef npy_int32 __pyx_t_7sklearn_4tree_6_utils_INT32_t;

/* "_utils.pxd":18
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer             # <<<<<<<<<<<<<<
 * 
 * cdef enum:
 */
typedef npy_uint32 __pyx_t_7sklearn_4tree_6_utils_UINT32_t;

/* "sklearn/tree/_criterion.pxd":15
 * cimport numpy as np
 * 
 * ctypedef np.npy_float32 DTYPE_t          # Type of X             # <<<<<<<<<<<<<<
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 */
typedef npy_float32 __pyx_t_7sklearn_4tree_10_criterion_DTYPE_t;

/* "sklearn/tree/_criterion.pxd":16
 * 
 * ctypedef np.npy_float32 DTYPE_t          # Type of X
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight             # <<<<<<<<<<<<<<
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer
 */
typedef npy_float64 __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t;

/* "sklearn/tree/_criterion.pxd":17
 * ctypedef np.npy_float32 DTYPE_t          # Type of X
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters             # <<<<<<<<<<<<<<
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer
 */
typedef npy_intp __pyx_t_7sklearn_4tree_10_criterion_SIZE_t;

/* "sklearn/tree/_criterion.pxd":18
 * ctypedef np.npy_float64 DOUBLE_t         # Type of y, sample_weight
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer             # <<<<<<<<<<<<<<
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer
 * 
 */
typedef npy_int32 __pyx_t_7sklearn_4tree_10_criterion_INT32_t;

/* "sklearn/tree/_criterion.pxd":19
 * ctypedef np.npy_intp SIZE_t              # Type for indices and counters
 * ctypedef np.npy_int32 INT32_t            # Signed 32 bit integer
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer             # <<<<<<<<<<<<<<
 * 
 * cdef class Criterion:
 */
typedef npy_uint32 __pyx_t_7sklearn_4tree_10_criterion_UINT32_t;
/* None.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

/* None.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


/*--- Type declarations ---*/
struct __pyx_obj_7sklearn_4tree_6_utils_Stack;
struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap;
struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue;
struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator;
struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion;
struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion;
struct __pyx_obj_7sklearn_4tree_10_criterion_Entropy;
struct __pyx_obj_7sklearn_4tree_10_criterion_Gini;
struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion;
struct __pyx_obj_7sklearn_4tree_10_criterion_MSE;
struct __pyx_obj_7sklearn_4tree_10_criterion_MAE;
struct __pyx_obj_7sklearn_4tree_10_criterion_FriedmanMSE;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":764
 * ctypedef npy_longdouble longdouble_t
 * 
 * ctypedef npy_cfloat      cfloat_t             # <<<<<<<<<<<<<<
 * ctypedef npy_cdouble     cdouble_t
 * ctypedef npy_clongdouble clongdouble_t
 */
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":765
 * 
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
 * ctypedef npy_clongdouble clongdouble_t
 * 
 */
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":766
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t
 * ctypedef npy_clongdouble clongdouble_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_cdouble     complex_t
 */
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;

/* "../../../../../usr/lib/python2.7/dist-packages/Cython/Includes/numpy/__init__.pxd":768
 * ctypedef npy_clongdouble clongdouble_t
 * 
 * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew1(a):
 */
typedef npy_cdouble __pyx_t_5numpy_complex_t;
struct __pyx_t_7sklearn_4tree_6_utils_StackRecord;
struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord;
struct __pyx_t_7sklearn_4tree_6_utils_WeightedPQueueRecord;

/* "_utils.pxd":20
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer
 * 
 * cdef enum:             # <<<<<<<<<<<<<<
 *     # Max value for our rand_r replacement (near the bottom).
 *     # We don't use RAND_MAX because it's different across platforms and
 */
enum  {
  __pyx_e_7sklearn_4tree_6_utils_RAND_R_MAX = 0x7FFFFFFF
};

/* "_utils.pxd":61
 * 
 * # A record on the stack for depth-first tree growing
 * cdef struct StackRecord:             # <<<<<<<<<<<<<<
 *     SIZE_t start
 *     SIZE_t end
 */
struct __pyx_t_7sklearn_4tree_6_utils_StackRecord {
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t start;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t end;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t depth;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t parent;
  int is_left;
  double impurity;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t n_constant_features;
};

/* "_utils.pxd":87
 * 
 * # A record on the frontier for best-first tree growing
 * cdef struct PriorityHeapRecord:             # <<<<<<<<<<<<<<
 *     SIZE_t node_id
 *     SIZE_t start
 */
struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord {
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t node_id;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t start;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t end;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t pos;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t depth;
  int is_leaf;
  double impurity;
  double impurity_left;
  double impurity_right;
  double improvement;
};

/* "_utils.pxd":116
 * 
 * # A record stored in the WeightedPQueue
 * cdef struct WeightedPQueueRecord:             # <<<<<<<<<<<<<<
 *     DOUBLE_t data
 *     DOUBLE_t weight
 */
struct __pyx_t_7sklearn_4tree_6_utils_WeightedPQueueRecord {
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t data;
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t weight;
};

/* "_utils.pxd":70
 *     SIZE_t n_constant_features
 * 
 * cdef class Stack:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t capacity
 *     cdef SIZE_t top
 */
struct __pyx_obj_7sklearn_4tree_6_utils_Stack {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *__pyx_vtab;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t capacity;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t top;
  struct __pyx_t_7sklearn_4tree_6_utils_StackRecord *stack_;
};


/* "_utils.pxd":99
 *     double improvement
 * 
 * cdef class PriorityHeap:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t capacity
 *     cdef SIZE_t heap_ptr
 */
struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *__pyx_vtab;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t capacity;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t heap_ptr;
  struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *heap_;
};


/* "_utils.pxd":120
 *     DOUBLE_t weight
 * 
 * cdef class WeightedPQueue:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t capacity
 *     cdef SIZE_t array_ptr
 */
struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedPQueue *__pyx_vtab;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t capacity;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t array_ptr;
  struct __pyx_t_7sklearn_4tree_6_utils_WeightedPQueueRecord *array_;
};


/* "_utils.pxd":140
 * # =============================================================================
 * 
 * cdef class WeightedMedianCalculator:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t initial_capacity
 *     cdef WeightedPQueue samples
 */
struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *__pyx_vtab;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t initial_capacity;
  struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *samples;
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t total_weight;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t k;
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t sum_w_0_k;
};


/* "sklearn/tree/_criterion.pxd":21
 * ctypedef np.npy_uint32 UINT32_t          # Unsigned 32 bit integer
 * 
 * cdef class Criterion:             # <<<<<<<<<<<<<<
 *     # The criterion computes the impurity of a node and the reduction of
 *     # impurity of a split on that node. It also computes the output statistics
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion *__pyx_vtab;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *y;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t y_stride;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *samples;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t start;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t pos;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t end;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t n_outputs;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t n_node_samples;
  double weighted_n_samples;
  double weighted_n_node_samples;
  double weighted_n_left;
  double weighted_n_right;
  double *sum_total;
  double *sum_left;
  double *sum_right;
};


/* "sklearn/tree/_criterion.pyx":210
 * 
 * 
 * cdef class ClassificationCriterion(Criterion):             # <<<<<<<<<<<<<<
 *     """Abstract criterion for classification."""
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion {
  struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion __pyx_base;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *n_classes;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t sum_stride;
};


/* "sklearn/tree/_criterion.pyx":501
 * 
 * 
 * cdef class Entropy(ClassificationCriterion):             # <<<<<<<<<<<<<<
 *     """Cross Entropy impurity criterion.
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_Entropy {
  struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion __pyx_base;
};


/* "sklearn/tree/_criterion.pyx":582
 * 
 * 
 * cdef class Gini(ClassificationCriterion):             # <<<<<<<<<<<<<<
 *     """Gini Index impurity criterion.
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_Gini {
  struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion __pyx_base;
};


/* "sklearn/tree/_criterion.pyx":676
 * 
 * 
 * cdef class RegressionCriterion(Criterion):             # <<<<<<<<<<<<<<
 *     """Abstract regression criterion.
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion {
  struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion __pyx_base;
  double sq_sum_total;
};


/* "sklearn/tree/_criterion.pyx":879
 * 
 * 
 * cdef class MSE(RegressionCriterion):             # <<<<<<<<<<<<<<
 *     """Mean squared error impurity criterion.
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_MSE {
  struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion __pyx_base;
};


/* "sklearn/tree/_criterion.pyx":971
 *         impurity_right[0] /= self.n_outputs
 * 
 * cdef class MAE(RegressionCriterion):             # <<<<<<<<<<<<<<
 *     """Mean absolute error impurity criterion
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_MAE {
  struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion __pyx_base;
  PyArrayObject *left_child;
  PyArrayObject *right_child;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *node_medians;
};


/* "sklearn/tree/_criterion.pyx":1265
 * 
 * 
 * cdef class FriedmanMSE(MSE):             # <<<<<<<<<<<<<<
 *     """Mean squared error impurity criterion with improvement score by Friedman
 * 
 */
struct __pyx_obj_7sklearn_4tree_10_criterion_FriedmanMSE {
  struct __pyx_obj_7sklearn_4tree_10_criterion_MSE __pyx_base;
};



/* "_utils.pxd":70
 *     SIZE_t n_constant_features
 * 
 * cdef class Stack:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t capacity
 *     cdef SIZE_t top
 */

struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack {
  int (*is_empty)(struct __pyx_obj_7sklearn_4tree_6_utils_Stack *);
  int (*push)(struct __pyx_obj_7sklearn_4tree_6_utils_Stack *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, int, double, __pyx_t_7sklearn_4tree_6_utils_SIZE_t);
  int (*pop)(struct __pyx_obj_7sklearn_4tree_6_utils_Stack *, struct __pyx_t_7sklearn_4tree_6_utils_StackRecord *);
};
static struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *__pyx_vtabptr_7sklearn_4tree_6_utils_Stack;


/* "_utils.pxd":99
 *     double improvement
 * 
 * cdef class PriorityHeap:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t capacity
 *     cdef SIZE_t heap_ptr
 */

struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap {
  int (*is_empty)(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *);
  int (*push)(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, int, double, double, double, double);
  int (*pop)(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *);
};
static struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *__pyx_vtabptr_7sklearn_4tree_6_utils_PriorityHeap;


/* "_utils.pxd":120
 *     DOUBLE_t weight
 * 
 * cdef class WeightedPQueue:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t capacity
 *     cdef SIZE_t array_ptr
 */

struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedPQueue {
  int (*is_empty)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *);
  void (*reset)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *);
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t (*size)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *);
  int (*push)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t);
  int (*remove)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t);
  int (*pop)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *);
  int (*peek)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *);
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t (*get_weight_from_index)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t);
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t (*get_value_from_index)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedPQueue *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t);
};
static struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedPQueue *__pyx_vtabptr_7sklearn_4tree_6_utils_WeightedPQueue;


/* "_utils.pxd":140
 * # =============================================================================
 * 
 * cdef class WeightedMedianCalculator:             # <<<<<<<<<<<<<<
 *     cdef SIZE_t initial_capacity
 *     cdef WeightedPQueue samples
 */

struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator {
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t (*size)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *);
  int (*push)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t);
  void (*reset)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *);
  int (*update_median_parameters_post_push)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t);
  int (*remove)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t);
  int (*pop)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *);
  int (*update_median_parameters_post_remove)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t, __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t);
  __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t (*get_median)(struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *);
};
static struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *__pyx_vtabptr_7sklearn_4tree_6_utils_WeightedMedianCalculator;


/* "sklearn/tree/_criterion.pyx":34
 * from ._utils cimport WeightedMedianCalculator
 * 
 * cdef class Criterion:             # <<<<<<<<<<<<<<
 *     """Interface for impurity criteria.
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion {
  void (*init)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *, double, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t);
  void (*reset)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
  void (*reverse_reset)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
  void (*update)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t);
  double (*node_impurity)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
  void (*children_impurity)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, double *, double *);
  void (*node_value)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, double *);
  double (*impurity_improvement)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, double);
  double (*proxy_impurity_improvement)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion *__pyx_vtabptr_7sklearn_4tree_10_criterion_Criterion;


/* "sklearn/tree/_criterion.pyx":210
 * 
 * 
 * cdef class ClassificationCriterion(Criterion):             # <<<<<<<<<<<<<<
 *     """Abstract criterion for classification."""
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_ClassificationCriterion {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_vtabptr_7sklearn_4tree_10_criterion_ClassificationCriterion;


/* "sklearn/tree/_criterion.pyx":501
 * 
 * 
 * cdef class Entropy(ClassificationCriterion):             # <<<<<<<<<<<<<<
 *     """Cross Entropy impurity criterion.
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Entropy {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_ClassificationCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Entropy *__pyx_vtabptr_7sklearn_4tree_10_criterion_Entropy;


/* "sklearn/tree/_criterion.pyx":582
 * 
 * 
 * cdef class Gini(ClassificationCriterion):             # <<<<<<<<<<<<<<
 *     """Gini Index impurity criterion.
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Gini {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_ClassificationCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Gini *__pyx_vtabptr_7sklearn_4tree_10_criterion_Gini;


/* "sklearn/tree/_criterion.pyx":676
 * 
 * 
 * cdef class RegressionCriterion(Criterion):             # <<<<<<<<<<<<<<
 *     """Abstract regression criterion.
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_RegressionCriterion {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_vtabptr_7sklearn_4tree_10_criterion_RegressionCriterion;


/* "sklearn/tree/_criterion.pyx":879
 * 
 * 
 * cdef class MSE(RegressionCriterion):             # <<<<<<<<<<<<<<
 *     """Mean squared error impurity criterion.
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MSE {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_RegressionCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MSE *__pyx_vtabptr_7sklearn_4tree_10_criterion_MSE;


/* "sklearn/tree/_criterion.pyx":971
 *         impurity_right[0] /= self.n_outputs
 * 
 * cdef class MAE(RegressionCriterion):             # <<<<<<<<<<<<<<
 *     """Mean absolute error impurity criterion
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MAE {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_RegressionCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MAE *__pyx_vtabptr_7sklearn_4tree_10_criterion_MAE;


/* "sklearn/tree/_criterion.pyx":1265
 * 
 * 
 * cdef class FriedmanMSE(MSE):             # <<<<<<<<<<<<<<
 *     """Mean squared error impurity criterion with improvement score by Friedman
 * 
 */

struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_FriedmanMSE {
  struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MSE __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_FriedmanMSE *__pyx_vtabptr_7sklearn_4tree_10_criterion_FriedmanMSE;

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static void __pyx_f_7sklearn_4tree_10_criterion_9Criterion_init(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_y_stride, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight, CYTHON_UNUSED double __pyx_v_weighted_n_samples, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_9Criterion_reset(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_9Criterion_reverse_reset(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_9Criterion_update(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self, CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_9Criterion_node_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_9Criterion_children_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self, CYTHON_UNUSED double *__pyx_v_impurity_left, CYTHON_UNUSED double *__pyx_v_impurity_right); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_9Criterion_node_value(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self, CYTHON_UNUSED double *__pyx_v_dest); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_9Criterion_proxy_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_9Criterion_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *__pyx_v_self, double __pyx_v_impurity); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_init(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_y_stride, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight, double __pyx_v_weighted_n_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_reverse_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_update(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_node_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_children_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, CYTHON_UNUSED double *__pyx_v_impurity_left, CYTHON_UNUSED double *__pyx_v_impurity_right); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_node_value(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, double *__pyx_v_dest); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_7Entropy_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Entropy *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_7Entropy_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Entropy *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_4Gini_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Gini *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_4Gini_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Gini *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_init(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_y_stride, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight, double __pyx_v_weighted_n_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_reverse_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_update(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_node_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_children_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, CYTHON_UNUSED double *__pyx_v_impurity_left, CYTHON_UNUSED double *__pyx_v_impurity_right); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_node_value(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, double *__pyx_v_dest); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_3MSE_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MSE *__pyx_v_self); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_3MSE_proxy_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_MSE *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MSE_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MSE *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_init(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_y_stride, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight, double __pyx_v_weighted_n_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_reverse_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_update(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_node_value(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, double *__pyx_v_dest); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_3MAE_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_11FriedmanMSE_proxy_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_FriedmanMSE *__pyx_v_self); /* proto*/
static double __pyx_f_7sklearn_4tree_10_criterion_11FriedmanMSE_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_FriedmanMSE *__pyx_v_self, CYTHON_UNUSED double __pyx_v_impurity); /* proto*/

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/* Module declarations from 'cpython' */

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

/* Module declarations from 'sklearn.tree._utils' */
static PyTypeObject *__pyx_ptype_7sklearn_4tree_6_utils_Stack = 0;
static PyTypeObject *__pyx_ptype_7sklearn_4tree_6_utils_PriorityHeap = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_6_utils_WeightedMedianCalculator = 0;
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static double (*__pyx_f_7sklearn_4tree_6_utils_log)(double); /*proto*/
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/* "sklearn/tree/_criterion.pyx":54
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 *     cdef void init(self, DOUBLE_t* y, SIZE_t y_stride, DOUBLE_t* sample_weight,             # <<<<<<<<<<<<<<
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/* "sklearn/tree/_criterion.pyx":82
 *         pass
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
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 * 
 */

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  /* function exit code */
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/* "sklearn/tree/_criterion.pyx":90
 *         pass
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
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 */

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/* "sklearn/tree/_criterion.pyx":97
 *         pass
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
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/* "sklearn/tree/_criterion.pyx":112
 *         pass
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 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
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 */

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/* "sklearn/tree/_criterion.pyx":122
 *         pass
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
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 */

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  /* function exit code */
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/* "sklearn/tree/_criterion.pyx":142
 *         pass
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
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 */

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  /* function exit code */
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/* "sklearn/tree/_criterion.pyx":156
 *         pass
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 *     cdef double proxy_impurity_improvement(self) nogil:             # <<<<<<<<<<<<<<
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 */

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  double __pyx_v_impurity_right;
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 *         cdef double impurity_left
 *         cdef double impurity_right
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 * 
 *         return (- self.weighted_n_right * impurity_right
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 * 
 *         return (- self.weighted_n_right * impurity_right
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 *     cdef double proxy_impurity_improvement(self) nogil:             # <<<<<<<<<<<<<<
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/* "sklearn/tree/_criterion.pyx":174
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 *         cdef double impurity_right
 * 
 *         self.children_impurity(&impurity_left, &impurity_right)             # <<<<<<<<<<<<<<
 * 
 *         return ((self.weighted_n_node_samples / self.weighted_n_samples) *
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 *                 sum_total[k * self.sum_stride + c] += w
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 *         self.reset()
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=start."""
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 * 
 *         self.weighted_n_left = 0.0
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 *         cdef double* sum_left = self.sum_left
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 *         cdef double* sum_right = self.sum_right
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 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
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 *         cdef SIZE_t k
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 */
  __pyx_t_4 = __pyx_v_self->n_classes;
  __pyx_v_n_classes = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":367
 *         cdef SIZE_t k
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             memset(sum_left, 0, n_classes[k] * sizeof(double))
 *             memcpy(sum_right, sum_total, n_classes[k] * sizeof(double))
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_outputs;
  for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_1; __pyx_t_5+=1) {
    __pyx_v_k = __pyx_t_5;

    /* "sklearn/tree/_criterion.pyx":368
 * 
 *         for k in range(self.n_outputs):
 *             memset(sum_left, 0, n_classes[k] * sizeof(double))             # <<<<<<<<<<<<<<
 *             memcpy(sum_right, sum_total, n_classes[k] * sizeof(double))
 * 
 */
    memset(__pyx_v_sum_left, 0, ((__pyx_v_n_classes[__pyx_v_k]) * (sizeof(double))));

    /* "sklearn/tree/_criterion.pyx":369
 *         for k in range(self.n_outputs):
 *             memset(sum_left, 0, n_classes[k] * sizeof(double))
 *             memcpy(sum_right, sum_total, n_classes[k] * sizeof(double))             # <<<<<<<<<<<<<<
 * 
 *             sum_total += self.sum_stride
 */
    memcpy(__pyx_v_sum_right, __pyx_v_sum_total, ((__pyx_v_n_classes[__pyx_v_k]) * (sizeof(double))));

    /* "sklearn/tree/_criterion.pyx":371
 *             memcpy(sum_right, sum_total, n_classes[k] * sizeof(double))
 * 
 *             sum_total += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_left += self.sum_stride
 *             sum_right += self.sum_stride
 */
    __pyx_v_sum_total = (__pyx_v_sum_total + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":372
 * 
 *             sum_total += self.sum_stride
 *             sum_left += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_right += self.sum_stride
 * 
 */
    __pyx_v_sum_left = (__pyx_v_sum_left + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":373
 *             sum_total += self.sum_stride
 *             sum_left += self.sum_stride
 *             sum_right += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *     cdef void reverse_reset(self) nogil:
 */
    __pyx_v_sum_right = (__pyx_v_sum_right + __pyx_v_self->sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":352
 *         self.reset()
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=start."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":375
 *             sum_right += self.sum_stride
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=end."""
 *         self.pos = self.end
 */

static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_reverse_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self) {
  double *__pyx_v_sum_total;
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_1;
  double __pyx_t_2;
  double *__pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;

  /* "sklearn/tree/_criterion.pyx":377
 *     cdef void reverse_reset(self) nogil:
 *         """Reset the criterion at pos=end."""
 *         self.pos = self.end             # <<<<<<<<<<<<<<
 * 
 *         self.weighted_n_left = self.weighted_n_node_samples
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.end;
  __pyx_v_self->__pyx_base.pos = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":379
 *         self.pos = self.end
 * 
 *         self.weighted_n_left = self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *         self.weighted_n_right = 0.0
 * 
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.weighted_n_node_samples;
  __pyx_v_self->__pyx_base.weighted_n_left = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":380
 * 
 *         self.weighted_n_left = self.weighted_n_node_samples
 *         self.weighted_n_right = 0.0             # <<<<<<<<<<<<<<
 * 
 *         cdef double* sum_total = self.sum_total
 */
  __pyx_v_self->__pyx_base.weighted_n_right = 0.0;

  /* "sklearn/tree/_criterion.pyx":382
 *         self.weighted_n_right = 0.0
 * 
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":383
 * 
 *         cdef double* sum_total = self.sum_total
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 * 
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":384
 *         cdef double* sum_total = self.sum_total
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":386
 *         cdef double* sum_right = self.sum_right
 * 
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef SIZE_t k
 * 
 */
  __pyx_t_4 = __pyx_v_self->n_classes;
  __pyx_v_n_classes = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":389
 *         cdef SIZE_t k
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             memset(sum_right, 0, n_classes[k] * sizeof(double))
 *             memcpy(sum_left, sum_total, n_classes[k] * sizeof(double))
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_outputs;
  for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_1; __pyx_t_5+=1) {
    __pyx_v_k = __pyx_t_5;

    /* "sklearn/tree/_criterion.pyx":390
 * 
 *         for k in range(self.n_outputs):
 *             memset(sum_right, 0, n_classes[k] * sizeof(double))             # <<<<<<<<<<<<<<
 *             memcpy(sum_left, sum_total, n_classes[k] * sizeof(double))
 * 
 */
    memset(__pyx_v_sum_right, 0, ((__pyx_v_n_classes[__pyx_v_k]) * (sizeof(double))));

    /* "sklearn/tree/_criterion.pyx":391
 *         for k in range(self.n_outputs):
 *             memset(sum_right, 0, n_classes[k] * sizeof(double))
 *             memcpy(sum_left, sum_total, n_classes[k] * sizeof(double))             # <<<<<<<<<<<<<<
 * 
 *             sum_total += self.sum_stride
 */
    memcpy(__pyx_v_sum_left, __pyx_v_sum_total, ((__pyx_v_n_classes[__pyx_v_k]) * (sizeof(double))));

    /* "sklearn/tree/_criterion.pyx":393
 *             memcpy(sum_left, sum_total, n_classes[k] * sizeof(double))
 * 
 *             sum_total += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_left += self.sum_stride
 *             sum_right += self.sum_stride
 */
    __pyx_v_sum_total = (__pyx_v_sum_total + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":394
 * 
 *             sum_total += self.sum_stride
 *             sum_left += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_right += self.sum_stride
 * 
 */
    __pyx_v_sum_left = (__pyx_v_sum_left + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":395
 *             sum_total += self.sum_stride
 *             sum_left += self.sum_stride
 *             sum_right += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:
 */
    __pyx_v_sum_right = (__pyx_v_sum_right + __pyx_v_self->sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":375
 *             sum_right += self.sum_stride
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=end."""
 *         self.pos = self.end
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":397
 *             sum_right += self.sum_stride
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
 *         """Updated statistics by moving samples[pos:new_pos] to the left child.
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_update(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos) {
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_pos;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end;
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  double *__pyx_v_sum_total;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_c;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_label_index;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_w;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  double *__pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_4;
  int __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_7;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_8;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_9;
  long __pyx_t_10;

  /* "sklearn/tree/_criterion.pyx":406
 *             child to the left child.
 *         """
 *         cdef DOUBLE_t* y = self.y             # <<<<<<<<<<<<<<
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.y;
  __pyx_v_y = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":407
 *         """
 *         cdef DOUBLE_t* y = self.y
 *         cdef SIZE_t pos = self.pos             # <<<<<<<<<<<<<<
 *         cdef SIZE_t end = self.end
 * 
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.pos;
  __pyx_v_pos = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":408
 *         cdef DOUBLE_t* y = self.y
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end             # <<<<<<<<<<<<<<
 * 
 *         cdef double* sum_left = self.sum_left
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.end;
  __pyx_v_end = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":410
 *         cdef SIZE_t end = self.end
 * 
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 *         cdef double* sum_total = self.sum_total
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":411
 * 
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 *         cdef double* sum_total = self.sum_total
 * 
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":412
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":414
 *         cdef double* sum_total = self.sum_total
 * 
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* samples = self.samples
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 */
  __pyx_t_4 = __pyx_v_self->n_classes;
  __pyx_v_n_classes = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":415
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef SIZE_t* samples = self.samples             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 * 
 */
  __pyx_t_4 = __pyx_v_self->__pyx_base.samples;
  __pyx_v_samples = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":416
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef SIZE_t* samples = self.samples
 *         cdef DOUBLE_t* sample_weight = self.sample_weight             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t i
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.sample_weight;
  __pyx_v_sample_weight = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":423
 *         cdef SIZE_t c
 *         cdef SIZE_t label_index
 *         cdef DOUBLE_t w = 1.0             # <<<<<<<<<<<<<<
 * 
 *         # Update statistics up to new_pos
 */
  __pyx_v_w = 1.0;

  /* "sklearn/tree/_criterion.pyx":433
 *         # of computations, i.e. from pos to new_pos or from end to new_po.
 * 
 *         if (new_pos - pos) <= (end - new_pos):             # <<<<<<<<<<<<<<
 *             for p in range(pos, new_pos):
 *                 i = samples[p]
 */
  __pyx_t_5 = (((__pyx_v_new_pos - __pyx_v_pos) <= (__pyx_v_end - __pyx_v_new_pos)) != 0);
  if (__pyx_t_5) {

    /* "sklearn/tree/_criterion.pyx":434
 * 
 *         if (new_pos - pos) <= (end - new_pos):
 *             for p in range(pos, new_pos):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_2 = __pyx_v_new_pos;
    for (__pyx_t_6 = __pyx_v_pos; __pyx_t_6 < __pyx_t_2; __pyx_t_6+=1) {
      __pyx_v_p = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":435
 *         if (new_pos - pos) <= (end - new_pos):
 *             for p in range(pos, new_pos):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 if sample_weight != NULL:
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":437
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      __pyx_t_5 = ((__pyx_v_sample_weight != NULL) != 0);
      if (__pyx_t_5) {

        /* "sklearn/tree/_criterion.pyx":438
 * 
 *                 if sample_weight != NULL:
 *                     w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *                 for k in range(self.n_outputs):
 */
        __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

        /* "sklearn/tree/_criterion.pyx":437
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      }

      /* "sklearn/tree/_criterion.pyx":440
 *                     w = sample_weight[i]
 * 
 *                 for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                     label_index = (k * self.sum_stride +
 *                                    <SIZE_t> y[i * self.y_stride + k])
 */
      __pyx_t_7 = __pyx_v_self->__pyx_base.n_outputs;
      for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
        __pyx_v_k = __pyx_t_8;

        /* "sklearn/tree/_criterion.pyx":441
 * 
 *                 for k in range(self.n_outputs):
 *                     label_index = (k * self.sum_stride +             # <<<<<<<<<<<<<<
 *                                    <SIZE_t> y[i * self.y_stride + k])
 *                     sum_left[label_index] += w
 */
        __pyx_v_label_index = ((__pyx_v_k * __pyx_v_self->sum_stride) + ((__pyx_t_7sklearn_4tree_10_criterion_SIZE_t)(__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.y_stride) + __pyx_v_k)])));

        /* "sklearn/tree/_criterion.pyx":443
 *                     label_index = (k * self.sum_stride +
 *                                    <SIZE_t> y[i * self.y_stride + k])
 *                     sum_left[label_index] += w             # <<<<<<<<<<<<<<
 * 
 *                 self.weighted_n_left += w
 */
        __pyx_t_9 = __pyx_v_label_index;
        (__pyx_v_sum_left[__pyx_t_9]) = ((__pyx_v_sum_left[__pyx_t_9]) + __pyx_v_w);
      }

      /* "sklearn/tree/_criterion.pyx":445
 *                     sum_left[label_index] += w
 * 
 *                 self.weighted_n_left += w             # <<<<<<<<<<<<<<
 * 
 *         else:
 */
      __pyx_v_self->__pyx_base.weighted_n_left = (__pyx_v_self->__pyx_base.weighted_n_left + __pyx_v_w);
    }

    /* "sklearn/tree/_criterion.pyx":433
 *         # of computations, i.e. from pos to new_pos or from end to new_po.
 * 
 *         if (new_pos - pos) <= (end - new_pos):             # <<<<<<<<<<<<<<
 *             for p in range(pos, new_pos):
 *                 i = samples[p]
 */
    goto __pyx_L3;
  }

  /* "sklearn/tree/_criterion.pyx":448
 * 
 *         else:
 *             self.reverse_reset()             # <<<<<<<<<<<<<<
 * 
 *             for p in range(end - 1, new_pos - 1, -1):
 */
  /*else*/ {
    ((struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_ClassificationCriterion *)__pyx_v_self->__pyx_base.__pyx_vtab)->__pyx_base.reverse_reset(((struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *)__pyx_v_self));

    /* "sklearn/tree/_criterion.pyx":450
 *             self.reverse_reset()
 * 
 *             for p in range(end - 1, new_pos - 1, -1):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_10 = (__pyx_v_new_pos - 1);
    for (__pyx_t_2 = (__pyx_v_end - 1); __pyx_t_2 > __pyx_t_10; __pyx_t_2-=1) {
      __pyx_v_p = __pyx_t_2;

      /* "sklearn/tree/_criterion.pyx":451
 * 
 *             for p in range(end - 1, new_pos - 1, -1):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 if sample_weight != NULL:
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":453
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      __pyx_t_5 = ((__pyx_v_sample_weight != NULL) != 0);
      if (__pyx_t_5) {

        /* "sklearn/tree/_criterion.pyx":454
 * 
 *                 if sample_weight != NULL:
 *                     w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *                 for k in range(self.n_outputs):
 */
        __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

        /* "sklearn/tree/_criterion.pyx":453
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      }

      /* "sklearn/tree/_criterion.pyx":456
 *                     w = sample_weight[i]
 * 
 *                 for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                     label_index = (k * self.sum_stride +
 *                                    <SIZE_t> y[i * self.y_stride + k])
 */
      __pyx_t_6 = __pyx_v_self->__pyx_base.n_outputs;
      for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
        __pyx_v_k = __pyx_t_7;

        /* "sklearn/tree/_criterion.pyx":457
 * 
 *                 for k in range(self.n_outputs):
 *                     label_index = (k * self.sum_stride +             # <<<<<<<<<<<<<<
 *                                    <SIZE_t> y[i * self.y_stride + k])
 *                     sum_left[label_index] -= w
 */
        __pyx_v_label_index = ((__pyx_v_k * __pyx_v_self->sum_stride) + ((__pyx_t_7sklearn_4tree_10_criterion_SIZE_t)(__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.y_stride) + __pyx_v_k)])));

        /* "sklearn/tree/_criterion.pyx":459
 *                     label_index = (k * self.sum_stride +
 *                                    <SIZE_t> y[i * self.y_stride + k])
 *                     sum_left[label_index] -= w             # <<<<<<<<<<<<<<
 * 
 *                 self.weighted_n_left -= w
 */
        __pyx_t_8 = __pyx_v_label_index;
        (__pyx_v_sum_left[__pyx_t_8]) = ((__pyx_v_sum_left[__pyx_t_8]) - __pyx_v_w);
      }

      /* "sklearn/tree/_criterion.pyx":461
 *                     sum_left[label_index] -= w
 * 
 *                 self.weighted_n_left -= w             # <<<<<<<<<<<<<<
 * 
 *         # Update right part statistics
 */
      __pyx_v_self->__pyx_base.weighted_n_left = (__pyx_v_self->__pyx_base.weighted_n_left - __pyx_v_w);
    }
  }
  __pyx_L3:;

  /* "sklearn/tree/_criterion.pyx":464
 * 
 *         # Update right part statistics
 *         self.weighted_n_right = self.weighted_n_node_samples - self.weighted_n_left             # <<<<<<<<<<<<<<
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):
 */
  __pyx_v_self->__pyx_base.weighted_n_right = (__pyx_v_self->__pyx_base.weighted_n_node_samples - __pyx_v_self->__pyx_base.weighted_n_left);

  /* "sklearn/tree/_criterion.pyx":465
 *         # Update right part statistics
 *         self.weighted_n_right = self.weighted_n_node_samples - self.weighted_n_left
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             for c in range(n_classes[k]):
 *                 sum_right[c] = sum_total[c] - sum_left[c]
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.n_outputs;
  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_2; __pyx_t_6+=1) {
    __pyx_v_k = __pyx_t_6;

    /* "sklearn/tree/_criterion.pyx":466
 *         self.weighted_n_right = self.weighted_n_node_samples - self.weighted_n_left
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):             # <<<<<<<<<<<<<<
 *                 sum_right[c] = sum_total[c] - sum_left[c]
 * 
 */
    __pyx_t_7 = (__pyx_v_n_classes[__pyx_v_k]);
    for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
      __pyx_v_c = __pyx_t_8;

      /* "sklearn/tree/_criterion.pyx":467
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):
 *                 sum_right[c] = sum_total[c] - sum_left[c]             # <<<<<<<<<<<<<<
 * 
 *             sum_right += self.sum_stride
 */
      (__pyx_v_sum_right[__pyx_v_c]) = ((__pyx_v_sum_total[__pyx_v_c]) - (__pyx_v_sum_left[__pyx_v_c]));
    }

    /* "sklearn/tree/_criterion.pyx":469
 *                 sum_right[c] = sum_total[c] - sum_left[c]
 * 
 *             sum_right += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_left += self.sum_stride
 *             sum_total += self.sum_stride
 */
    __pyx_v_sum_right = (__pyx_v_sum_right + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":470
 * 
 *             sum_right += self.sum_stride
 *             sum_left += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_total += self.sum_stride
 * 
 */
    __pyx_v_sum_left = (__pyx_v_sum_left + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":471
 *             sum_right += self.sum_stride
 *             sum_left += self.sum_stride
 *             sum_total += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *         self.pos = new_pos
 */
    __pyx_v_sum_total = (__pyx_v_sum_total + __pyx_v_self->sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":473
 *             sum_total += self.sum_stride
 * 
 *         self.pos = new_pos             # <<<<<<<<<<<<<<
 * 
 *     cdef double node_impurity(self) nogil:
 */
  __pyx_v_self->__pyx_base.pos = __pyx_v_new_pos;

  /* "sklearn/tree/_criterion.pyx":397
 *             sum_right += self.sum_stride
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
 *         """Updated statistics by moving samples[pos:new_pos] to the left child.
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":475
 *         self.pos = new_pos
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         pass
 * 
 */

static double __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_node_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self) {
  double __pyx_r;

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

/* "sklearn/tree/_criterion.pyx":478
 *         pass
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         pass
 */

static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_children_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, CYTHON_UNUSED double *__pyx_v_impurity_left, CYTHON_UNUSED double *__pyx_v_impurity_right) {

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":482
 *         pass
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
 *         """Compute the node value of samples[start:end] and save it into dest.
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_23ClassificationCriterion_node_value(struct __pyx_obj_7sklearn_4tree_10_criterion_ClassificationCriterion *__pyx_v_self, double *__pyx_v_dest) {
  double *__pyx_v_sum_total;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  double *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":491
 *         """
 * 
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef SIZE_t k
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":492
 * 
 *         cdef double* sum_total = self.sum_total
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef SIZE_t k
 * 
 */
  __pyx_t_2 = __pyx_v_self->n_classes;
  __pyx_v_n_classes = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":495
 *         cdef SIZE_t k
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             memcpy(dest, sum_total, n_classes[k] * sizeof(double))
 *             dest += self.sum_stride
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":496
 * 
 *         for k in range(self.n_outputs):
 *             memcpy(dest, sum_total, n_classes[k] * sizeof(double))             # <<<<<<<<<<<<<<
 *             dest += self.sum_stride
 *             sum_total += self.sum_stride
 */
    memcpy(__pyx_v_dest, __pyx_v_sum_total, ((__pyx_v_n_classes[__pyx_v_k]) * (sizeof(double))));

    /* "sklearn/tree/_criterion.pyx":497
 *         for k in range(self.n_outputs):
 *             memcpy(dest, sum_total, n_classes[k] * sizeof(double))
 *             dest += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_total += self.sum_stride
 * 
 */
    __pyx_v_dest = (__pyx_v_dest + __pyx_v_self->sum_stride);

    /* "sklearn/tree/_criterion.pyx":498
 *             memcpy(dest, sum_total, n_classes[k] * sizeof(double))
 *             dest += self.sum_stride
 *             sum_total += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __pyx_v_sum_total = (__pyx_v_sum_total + __pyx_v_self->sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":482
 *         pass
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
 *         """Compute the node value of samples[start:end] and save it into dest.
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":517
 *     """
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *         samples[start:end], using the cross-entropy criterion."""
 */

static double __pyx_f_7sklearn_4tree_10_criterion_7Entropy_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Entropy *__pyx_v_self) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  double *__pyx_v_sum_total;
  double __pyx_v_entropy;
  double __pyx_v_count_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_c;
  double __pyx_r;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_1;
  double *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;
  int __pyx_t_7;

  /* "sklearn/tree/_criterion.pyx":521
 *         samples[start:end], using the cross-entropy criterion."""
 * 
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef double* sum_total = self.sum_total
 *         cdef double entropy = 0.0
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_classes;
  __pyx_v_n_classes = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":522
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 *         cdef double entropy = 0.0
 *         cdef double count_k
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":523
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_total = self.sum_total
 *         cdef double entropy = 0.0             # <<<<<<<<<<<<<<
 *         cdef double count_k
 *         cdef SIZE_t k
 */
  __pyx_v_entropy = 0.0;

  /* "sklearn/tree/_criterion.pyx":528
 *         cdef SIZE_t c
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             for c in range(n_classes[k]):
 *                 count_k = sum_total[c]
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":529
 * 
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):             # <<<<<<<<<<<<<<
 *                 count_k = sum_total[c]
 *                 if count_k > 0.0:
 */
    __pyx_t_5 = (__pyx_v_n_classes[__pyx_v_k]);
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_c = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":530
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):
 *                 count_k = sum_total[c]             # <<<<<<<<<<<<<<
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_node_samples
 */
      __pyx_v_count_k = (__pyx_v_sum_total[__pyx_v_c]);

      /* "sklearn/tree/_criterion.pyx":531
 *             for c in range(n_classes[k]):
 *                 count_k = sum_total[c]
 *                 if count_k > 0.0:             # <<<<<<<<<<<<<<
 *                     count_k /= self.weighted_n_node_samples
 *                     entropy -= count_k * log(count_k)
 */
      __pyx_t_7 = ((__pyx_v_count_k > 0.0) != 0);
      if (__pyx_t_7) {

        /* "sklearn/tree/_criterion.pyx":532
 *                 count_k = sum_total[c]
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *                     entropy -= count_k * log(count_k)
 * 
 */
        __pyx_v_count_k = (__pyx_v_count_k / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples);

        /* "sklearn/tree/_criterion.pyx":533
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_node_samples
 *                     entropy -= count_k * log(count_k)             # <<<<<<<<<<<<<<
 * 
 *             sum_total += self.sum_stride
 */
        __pyx_v_entropy = (__pyx_v_entropy - (__pyx_v_count_k * __pyx_f_7sklearn_4tree_6_utils_log(__pyx_v_count_k)));

        /* "sklearn/tree/_criterion.pyx":531
 *             for c in range(n_classes[k]):
 *                 count_k = sum_total[c]
 *                 if count_k > 0.0:             # <<<<<<<<<<<<<<
 *                     count_k /= self.weighted_n_node_samples
 *                     entropy -= count_k * log(count_k)
 */
      }
    }

    /* "sklearn/tree/_criterion.pyx":535
 *                     entropy -= count_k * log(count_k)
 * 
 *             sum_total += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *         return entropy / self.n_outputs
 */
    __pyx_v_sum_total = (__pyx_v_sum_total + __pyx_v_self->__pyx_base.sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":537
 *             sum_total += self.sum_stride
 * 
 *         return entropy / self.n_outputs             # <<<<<<<<<<<<<<
 * 
 *     cdef void children_impurity(self, double* impurity_left,
 */
  __pyx_r = (__pyx_v_entropy / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);
  goto __pyx_L0;

  /* "sklearn/tree/_criterion.pyx":517
 *     """
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *         samples[start:end], using the cross-entropy criterion."""
 */

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

/* "sklearn/tree/_criterion.pyx":539
 *         return entropy / self.n_outputs
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes
 */

static void __pyx_f_7sklearn_4tree_10_criterion_7Entropy_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Entropy *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  double __pyx_v_entropy_left;
  double __pyx_v_entropy_right;
  double __pyx_v_count_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_c;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_1;
  double *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;
  int __pyx_t_7;

  /* "sklearn/tree/_criterion.pyx":554
 *         """
 * 
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_classes;
  __pyx_v_n_classes = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":555
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 *         cdef double entropy_left = 0.0
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":556
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 *         cdef double entropy_left = 0.0
 *         cdef double entropy_right = 0.0
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":557
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 *         cdef double entropy_left = 0.0             # <<<<<<<<<<<<<<
 *         cdef double entropy_right = 0.0
 *         cdef double count_k
 */
  __pyx_v_entropy_left = 0.0;

  /* "sklearn/tree/_criterion.pyx":558
 *         cdef double* sum_right = self.sum_right
 *         cdef double entropy_left = 0.0
 *         cdef double entropy_right = 0.0             # <<<<<<<<<<<<<<
 *         cdef double count_k
 *         cdef SIZE_t k
 */
  __pyx_v_entropy_right = 0.0;

  /* "sklearn/tree/_criterion.pyx":563
 *         cdef SIZE_t c
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             for c in range(n_classes[k]):
 *                 count_k = sum_left[c]
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":564
 * 
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):             # <<<<<<<<<<<<<<
 *                 count_k = sum_left[c]
 *                 if count_k > 0.0:
 */
    __pyx_t_5 = (__pyx_v_n_classes[__pyx_v_k]);
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_c = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":565
 *         for k in range(self.n_outputs):
 *             for c in range(n_classes[k]):
 *                 count_k = sum_left[c]             # <<<<<<<<<<<<<<
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_left
 */
      __pyx_v_count_k = (__pyx_v_sum_left[__pyx_v_c]);

      /* "sklearn/tree/_criterion.pyx":566
 *             for c in range(n_classes[k]):
 *                 count_k = sum_left[c]
 *                 if count_k > 0.0:             # <<<<<<<<<<<<<<
 *                     count_k /= self.weighted_n_left
 *                     entropy_left -= count_k * log(count_k)
 */
      __pyx_t_7 = ((__pyx_v_count_k > 0.0) != 0);
      if (__pyx_t_7) {

        /* "sklearn/tree/_criterion.pyx":567
 *                 count_k = sum_left[c]
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_left             # <<<<<<<<<<<<<<
 *                     entropy_left -= count_k * log(count_k)
 * 
 */
        __pyx_v_count_k = (__pyx_v_count_k / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left);

        /* "sklearn/tree/_criterion.pyx":568
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_left
 *                     entropy_left -= count_k * log(count_k)             # <<<<<<<<<<<<<<
 * 
 *                 count_k = sum_right[c]
 */
        __pyx_v_entropy_left = (__pyx_v_entropy_left - (__pyx_v_count_k * __pyx_f_7sklearn_4tree_6_utils_log(__pyx_v_count_k)));

        /* "sklearn/tree/_criterion.pyx":566
 *             for c in range(n_classes[k]):
 *                 count_k = sum_left[c]
 *                 if count_k > 0.0:             # <<<<<<<<<<<<<<
 *                     count_k /= self.weighted_n_left
 *                     entropy_left -= count_k * log(count_k)
 */
      }

      /* "sklearn/tree/_criterion.pyx":570
 *                     entropy_left -= count_k * log(count_k)
 * 
 *                 count_k = sum_right[c]             # <<<<<<<<<<<<<<
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_right
 */
      __pyx_v_count_k = (__pyx_v_sum_right[__pyx_v_c]);

      /* "sklearn/tree/_criterion.pyx":571
 * 
 *                 count_k = sum_right[c]
 *                 if count_k > 0.0:             # <<<<<<<<<<<<<<
 *                     count_k /= self.weighted_n_right
 *                     entropy_right -= count_k * log(count_k)
 */
      __pyx_t_7 = ((__pyx_v_count_k > 0.0) != 0);
      if (__pyx_t_7) {

        /* "sklearn/tree/_criterion.pyx":572
 *                 count_k = sum_right[c]
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_right             # <<<<<<<<<<<<<<
 *                     entropy_right -= count_k * log(count_k)
 * 
 */
        __pyx_v_count_k = (__pyx_v_count_k / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right);

        /* "sklearn/tree/_criterion.pyx":573
 *                 if count_k > 0.0:
 *                     count_k /= self.weighted_n_right
 *                     entropy_right -= count_k * log(count_k)             # <<<<<<<<<<<<<<
 * 
 *             sum_left += self.sum_stride
 */
        __pyx_v_entropy_right = (__pyx_v_entropy_right - (__pyx_v_count_k * __pyx_f_7sklearn_4tree_6_utils_log(__pyx_v_count_k)));

        /* "sklearn/tree/_criterion.pyx":571
 * 
 *                 count_k = sum_right[c]
 *                 if count_k > 0.0:             # <<<<<<<<<<<<<<
 *                     count_k /= self.weighted_n_right
 *                     entropy_right -= count_k * log(count_k)
 */
      }
    }

    /* "sklearn/tree/_criterion.pyx":575
 *                     entropy_right -= count_k * log(count_k)
 * 
 *             sum_left += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_right += self.sum_stride
 * 
 */
    __pyx_v_sum_left = (__pyx_v_sum_left + __pyx_v_self->__pyx_base.sum_stride);

    /* "sklearn/tree/_criterion.pyx":576
 * 
 *             sum_left += self.sum_stride
 *             sum_right += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *         impurity_left[0] = entropy_left / self.n_outputs
 */
    __pyx_v_sum_right = (__pyx_v_sum_right + __pyx_v_self->__pyx_base.sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":578
 *             sum_right += self.sum_stride
 * 
 *         impurity_left[0] = entropy_left / self.n_outputs             # <<<<<<<<<<<<<<
 *         impurity_right[0] = entropy_right / self.n_outputs
 * 
 */
  (__pyx_v_impurity_left[0]) = (__pyx_v_entropy_left / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);

  /* "sklearn/tree/_criterion.pyx":579
 * 
 *         impurity_left[0] = entropy_left / self.n_outputs
 *         impurity_right[0] = entropy_right / self.n_outputs             # <<<<<<<<<<<<<<
 * 
 * 
 */
  (__pyx_v_impurity_right[0]) = (__pyx_v_entropy_right / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);

  /* "sklearn/tree/_criterion.pyx":539
 *         return entropy / self.n_outputs
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":599
 *     """
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *         samples[start:end] using the Gini criterion."""
 */

static double __pyx_f_7sklearn_4tree_10_criterion_4Gini_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Gini *__pyx_v_self) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  double *__pyx_v_sum_total;
  double __pyx_v_gini;
  double __pyx_v_sq_count;
  double __pyx_v_count_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_c;
  double __pyx_r;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_1;
  double *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;

  /* "sklearn/tree/_criterion.pyx":604
 * 
 * 
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef double* sum_total = self.sum_total
 *         cdef double gini = 0.0
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_classes;
  __pyx_v_n_classes = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":605
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 *         cdef double gini = 0.0
 *         cdef double sq_count
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":606
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_total = self.sum_total
 *         cdef double gini = 0.0             # <<<<<<<<<<<<<<
 *         cdef double sq_count
 *         cdef double count_k
 */
  __pyx_v_gini = 0.0;

  /* "sklearn/tree/_criterion.pyx":612
 *         cdef SIZE_t c
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             sq_count = 0.0
 * 
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":613
 * 
 *         for k in range(self.n_outputs):
 *             sq_count = 0.0             # <<<<<<<<<<<<<<
 * 
 *             for c in range(n_classes[k]):
 */
    __pyx_v_sq_count = 0.0;

    /* "sklearn/tree/_criterion.pyx":615
 *             sq_count = 0.0
 * 
 *             for c in range(n_classes[k]):             # <<<<<<<<<<<<<<
 *                 count_k = sum_total[c]
 *                 sq_count += count_k * count_k
 */
    __pyx_t_5 = (__pyx_v_n_classes[__pyx_v_k]);
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_c = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":616
 * 
 *             for c in range(n_classes[k]):
 *                 count_k = sum_total[c]             # <<<<<<<<<<<<<<
 *                 sq_count += count_k * count_k
 * 
 */
      __pyx_v_count_k = (__pyx_v_sum_total[__pyx_v_c]);

      /* "sklearn/tree/_criterion.pyx":617
 *             for c in range(n_classes[k]):
 *                 count_k = sum_total[c]
 *                 sq_count += count_k * count_k             # <<<<<<<<<<<<<<
 * 
 *             gini += 1.0 - sq_count / (self.weighted_n_node_samples *
 */
      __pyx_v_sq_count = (__pyx_v_sq_count + (__pyx_v_count_k * __pyx_v_count_k));
    }

    /* "sklearn/tree/_criterion.pyx":619
 *                 sq_count += count_k * count_k
 * 
 *             gini += 1.0 - sq_count / (self.weighted_n_node_samples *             # <<<<<<<<<<<<<<
 *                                       self.weighted_n_node_samples)
 * 
 */
    __pyx_v_gini = (__pyx_v_gini + (1.0 - (__pyx_v_sq_count / (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples * __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples))));

    /* "sklearn/tree/_criterion.pyx":622
 *                                       self.weighted_n_node_samples)
 * 
 *             sum_total += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *         return gini / self.n_outputs
 */
    __pyx_v_sum_total = (__pyx_v_sum_total + __pyx_v_self->__pyx_base.sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":624
 *             sum_total += self.sum_stride
 * 
 *         return gini / self.n_outputs             # <<<<<<<<<<<<<<
 * 
 *     cdef void children_impurity(self, double* impurity_left,
 */
  __pyx_r = (__pyx_v_gini / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);
  goto __pyx_L0;

  /* "sklearn/tree/_criterion.pyx":599
 *     """
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *         samples[start:end] using the Gini criterion."""
 */

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

/* "sklearn/tree/_criterion.pyx":626
 *         return gini / self.n_outputs
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes
 */

static void __pyx_f_7sklearn_4tree_10_criterion_4Gini_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_Gini *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_n_classes;
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  double __pyx_v_gini_left;
  double __pyx_v_gini_right;
  double __pyx_v_sq_count_left;
  double __pyx_v_sq_count_right;
  double __pyx_v_count_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_c;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_1;
  double *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;

  /* "sklearn/tree/_criterion.pyx":641
 *         """
 * 
 *         cdef SIZE_t* n_classes = self.n_classes             # <<<<<<<<<<<<<<
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_classes;
  __pyx_v_n_classes = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":642
 * 
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 *         cdef double gini_left = 0.0
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":643
 *         cdef SIZE_t* n_classes = self.n_classes
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 *         cdef double gini_left = 0.0
 *         cdef double gini_right = 0.0
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":644
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 *         cdef double gini_left = 0.0             # <<<<<<<<<<<<<<
 *         cdef double gini_right = 0.0
 *         cdef double sq_count_left
 */
  __pyx_v_gini_left = 0.0;

  /* "sklearn/tree/_criterion.pyx":645
 *         cdef double* sum_right = self.sum_right
 *         cdef double gini_left = 0.0
 *         cdef double gini_right = 0.0             # <<<<<<<<<<<<<<
 *         cdef double sq_count_left
 *         cdef double sq_count_right
 */
  __pyx_v_gini_right = 0.0;

  /* "sklearn/tree/_criterion.pyx":652
 *         cdef SIZE_t c
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             sq_count_left = 0.0
 *             sq_count_right = 0.0
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":653
 * 
 *         for k in range(self.n_outputs):
 *             sq_count_left = 0.0             # <<<<<<<<<<<<<<
 *             sq_count_right = 0.0
 * 
 */
    __pyx_v_sq_count_left = 0.0;

    /* "sklearn/tree/_criterion.pyx":654
 *         for k in range(self.n_outputs):
 *             sq_count_left = 0.0
 *             sq_count_right = 0.0             # <<<<<<<<<<<<<<
 * 
 *             for c in range(n_classes[k]):
 */
    __pyx_v_sq_count_right = 0.0;

    /* "sklearn/tree/_criterion.pyx":656
 *             sq_count_right = 0.0
 * 
 *             for c in range(n_classes[k]):             # <<<<<<<<<<<<<<
 *                 count_k = sum_left[c]
 *                 sq_count_left += count_k * count_k
 */
    __pyx_t_5 = (__pyx_v_n_classes[__pyx_v_k]);
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_c = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":657
 * 
 *             for c in range(n_classes[k]):
 *                 count_k = sum_left[c]             # <<<<<<<<<<<<<<
 *                 sq_count_left += count_k * count_k
 * 
 */
      __pyx_v_count_k = (__pyx_v_sum_left[__pyx_v_c]);

      /* "sklearn/tree/_criterion.pyx":658
 *             for c in range(n_classes[k]):
 *                 count_k = sum_left[c]
 *                 sq_count_left += count_k * count_k             # <<<<<<<<<<<<<<
 * 
 *                 count_k = sum_right[c]
 */
      __pyx_v_sq_count_left = (__pyx_v_sq_count_left + (__pyx_v_count_k * __pyx_v_count_k));

      /* "sklearn/tree/_criterion.pyx":660
 *                 sq_count_left += count_k * count_k
 * 
 *                 count_k = sum_right[c]             # <<<<<<<<<<<<<<
 *                 sq_count_right += count_k * count_k
 * 
 */
      __pyx_v_count_k = (__pyx_v_sum_right[__pyx_v_c]);

      /* "sklearn/tree/_criterion.pyx":661
 * 
 *                 count_k = sum_right[c]
 *                 sq_count_right += count_k * count_k             # <<<<<<<<<<<<<<
 * 
 *             gini_left += 1.0 - sq_count_left / (self.weighted_n_left *
 */
      __pyx_v_sq_count_right = (__pyx_v_sq_count_right + (__pyx_v_count_k * __pyx_v_count_k));
    }

    /* "sklearn/tree/_criterion.pyx":663
 *                 sq_count_right += count_k * count_k
 * 
 *             gini_left += 1.0 - sq_count_left / (self.weighted_n_left *             # <<<<<<<<<<<<<<
 *                                                 self.weighted_n_left)
 * 
 */
    __pyx_v_gini_left = (__pyx_v_gini_left + (1.0 - (__pyx_v_sq_count_left / (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_left * __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left))));

    /* "sklearn/tree/_criterion.pyx":666
 *                                                 self.weighted_n_left)
 * 
 *             gini_right += 1.0 - sq_count_right / (self.weighted_n_right *             # <<<<<<<<<<<<<<
 *                                                   self.weighted_n_right)
 * 
 */
    __pyx_v_gini_right = (__pyx_v_gini_right + (1.0 - (__pyx_v_sq_count_right / (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_right * __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right))));

    /* "sklearn/tree/_criterion.pyx":669
 *                                                   self.weighted_n_right)
 * 
 *             sum_left += self.sum_stride             # <<<<<<<<<<<<<<
 *             sum_right += self.sum_stride
 * 
 */
    __pyx_v_sum_left = (__pyx_v_sum_left + __pyx_v_self->__pyx_base.sum_stride);

    /* "sklearn/tree/_criterion.pyx":670
 * 
 *             sum_left += self.sum_stride
 *             sum_right += self.sum_stride             # <<<<<<<<<<<<<<
 * 
 *         impurity_left[0] = gini_left / self.n_outputs
 */
    __pyx_v_sum_right = (__pyx_v_sum_right + __pyx_v_self->__pyx_base.sum_stride);
  }

  /* "sklearn/tree/_criterion.pyx":672
 *             sum_right += self.sum_stride
 * 
 *         impurity_left[0] = gini_left / self.n_outputs             # <<<<<<<<<<<<<<
 *         impurity_right[0] = gini_right / self.n_outputs
 * 
 */
  (__pyx_v_impurity_left[0]) = (__pyx_v_gini_left / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);

  /* "sklearn/tree/_criterion.pyx":673
 * 
 *         impurity_left[0] = gini_left / self.n_outputs
 *         impurity_right[0] = gini_right / self.n_outputs             # <<<<<<<<<<<<<<
 * 
 * 
 */
  (__pyx_v_impurity_right[0]) = (__pyx_v_gini_right / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);

  /* "sklearn/tree/_criterion.pyx":626
 *         return gini / self.n_outputs
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":690
 *     cdef double sq_sum_total
 * 
 *     def __cinit__(self, SIZE_t n_outputs, SIZE_t n_samples):             # <<<<<<<<<<<<<<
 *         """Initialize parameters for this criterion.
 * 
 */

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      /* "sklearn/tree/_criterion.pyx":772
 * 
 *             for k in range(self.n_outputs):
 *                 y_ik = y[i * y_stride + k]             # <<<<<<<<<<<<<<
 *                 w_y_ik = w * y_ik
 *                 self.sum_total[k] += w_y_ik
 */
      __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_y_stride) + __pyx_v_k)]);

      /* "sklearn/tree/_criterion.pyx":773
 *             for k in range(self.n_outputs):
 *                 y_ik = y[i * y_stride + k]
 *                 w_y_ik = w * y_ik             # <<<<<<<<<<<<<<
 *                 self.sum_total[k] += w_y_ik
 *                 self.sq_sum_total += w_y_ik * y_ik
 */
      __pyx_v_w_y_ik = (__pyx_v_w * __pyx_v_y_ik);

      /* "sklearn/tree/_criterion.pyx":774
 *                 y_ik = y[i * y_stride + k]
 *                 w_y_ik = w * y_ik
 *                 self.sum_total[k] += w_y_ik             # <<<<<<<<<<<<<<
 *                 self.sq_sum_total += w_y_ik * y_ik
 * 
 */
      __pyx_t_6 = __pyx_v_k;
      (__pyx_v_self->__pyx_base.sum_total[__pyx_t_6]) = ((__pyx_v_self->__pyx_base.sum_total[__pyx_t_6]) + __pyx_v_w_y_ik);

      /* "sklearn/tree/_criterion.pyx":775
 *                 w_y_ik = w * y_ik
 *                 self.sum_total[k] += w_y_ik
 *                 self.sq_sum_total += w_y_ik * y_ik             # <<<<<<<<<<<<<<
 * 
 *             self.weighted_n_node_samples += w
 */
      __pyx_v_self->sq_sum_total = (__pyx_v_self->sq_sum_total + (__pyx_v_w_y_ik * __pyx_v_y_ik));
    }

    /* "sklearn/tree/_criterion.pyx":777
 *                 self.sq_sum_total += w_y_ik * y_ik
 * 
 *             self.weighted_n_node_samples += w             # <<<<<<<<<<<<<<
 * 
 *         # Reset to pos=start
 */
    __pyx_v_self->__pyx_base.weighted_n_node_samples = (__pyx_v_self->__pyx_base.weighted_n_node_samples + __pyx_v_w);
  }

  /* "sklearn/tree/_criterion.pyx":780
 * 
 *         # Reset to pos=start
 *         self.reset()             # <<<<<<<<<<<<<<
 * 
 *     cdef void reset(self) nogil:
 */
  ((struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_RegressionCriterion *)__pyx_v_self->__pyx_base.__pyx_vtab)->__pyx_base.reset(((struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *)__pyx_v_self));

  /* "sklearn/tree/_criterion.pyx":739
 *         return (RegressionCriterion, (self.n_outputs,), self.__getstate__())
 * 
 *     cdef void init(self, DOUBLE_t* y, SIZE_t y_stride, DOUBLE_t* sample_weight,             # <<<<<<<<<<<<<<
 *                    double weighted_n_samples, SIZE_t* samples, SIZE_t start,
 *                    SIZE_t end) nogil:
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":782
 *         self.reset()
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=start."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 */

static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_n_bytes;
  double __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":784
 *     cdef void reset(self) nogil:
 *         """Reset the criterion at pos=start."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)             # <<<<<<<<<<<<<<
 *         memset(self.sum_left, 0, n_bytes)
 *         memcpy(self.sum_right, self.sum_total, n_bytes)
 */
  __pyx_v_n_bytes = (__pyx_v_self->__pyx_base.n_outputs * (sizeof(double)));

  /* "sklearn/tree/_criterion.pyx":785
 *         """Reset the criterion at pos=start."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 *         memset(self.sum_left, 0, n_bytes)             # <<<<<<<<<<<<<<
 *         memcpy(self.sum_right, self.sum_total, n_bytes)
 * 
 */
  memset(__pyx_v_self->__pyx_base.sum_left, 0, __pyx_v_n_bytes);

  /* "sklearn/tree/_criterion.pyx":786
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 *         memset(self.sum_left, 0, n_bytes)
 *         memcpy(self.sum_right, self.sum_total, n_bytes)             # <<<<<<<<<<<<<<
 * 
 *         self.weighted_n_left = 0.0
 */
  memcpy(__pyx_v_self->__pyx_base.sum_right, __pyx_v_self->__pyx_base.sum_total, __pyx_v_n_bytes);

  /* "sklearn/tree/_criterion.pyx":788
 *         memcpy(self.sum_right, self.sum_total, n_bytes)
 * 
 *         self.weighted_n_left = 0.0             # <<<<<<<<<<<<<<
 *         self.weighted_n_right = self.weighted_n_node_samples
 *         self.pos = self.start
 */
  __pyx_v_self->__pyx_base.weighted_n_left = 0.0;

  /* "sklearn/tree/_criterion.pyx":789
 * 
 *         self.weighted_n_left = 0.0
 *         self.weighted_n_right = self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *         self.pos = self.start
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.weighted_n_node_samples;
  __pyx_v_self->__pyx_base.weighted_n_right = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":790
 *         self.weighted_n_left = 0.0
 *         self.weighted_n_right = self.weighted_n_node_samples
 *         self.pos = self.start             # <<<<<<<<<<<<<<
 * 
 *     cdef void reverse_reset(self) nogil:
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.start;
  __pyx_v_self->__pyx_base.pos = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":782
 *         self.reset()
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=start."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":792
 *         self.pos = self.start
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=end."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 */

static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_reverse_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_n_bytes;
  double __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":794
 *     cdef void reverse_reset(self) nogil:
 *         """Reset the criterion at pos=end."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)             # <<<<<<<<<<<<<<
 *         memset(self.sum_right, 0, n_bytes)
 *         memcpy(self.sum_left, self.sum_total, n_bytes)
 */
  __pyx_v_n_bytes = (__pyx_v_self->__pyx_base.n_outputs * (sizeof(double)));

  /* "sklearn/tree/_criterion.pyx":795
 *         """Reset the criterion at pos=end."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 *         memset(self.sum_right, 0, n_bytes)             # <<<<<<<<<<<<<<
 *         memcpy(self.sum_left, self.sum_total, n_bytes)
 * 
 */
  memset(__pyx_v_self->__pyx_base.sum_right, 0, __pyx_v_n_bytes);

  /* "sklearn/tree/_criterion.pyx":796
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 *         memset(self.sum_right, 0, n_bytes)
 *         memcpy(self.sum_left, self.sum_total, n_bytes)             # <<<<<<<<<<<<<<
 * 
 *         self.weighted_n_right = 0.0
 */
  memcpy(__pyx_v_self->__pyx_base.sum_left, __pyx_v_self->__pyx_base.sum_total, __pyx_v_n_bytes);

  /* "sklearn/tree/_criterion.pyx":798
 *         memcpy(self.sum_left, self.sum_total, n_bytes)
 * 
 *         self.weighted_n_right = 0.0             # <<<<<<<<<<<<<<
 *         self.weighted_n_left = self.weighted_n_node_samples
 *         self.pos = self.end
 */
  __pyx_v_self->__pyx_base.weighted_n_right = 0.0;

  /* "sklearn/tree/_criterion.pyx":799
 * 
 *         self.weighted_n_right = 0.0
 *         self.weighted_n_left = self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *         self.pos = self.end
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.weighted_n_node_samples;
  __pyx_v_self->__pyx_base.weighted_n_left = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":800
 *         self.weighted_n_right = 0.0
 *         self.weighted_n_left = self.weighted_n_node_samples
 *         self.pos = self.end             # <<<<<<<<<<<<<<
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.end;
  __pyx_v_self->__pyx_base.pos = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":792
 *         self.pos = self.start
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=end."""
 *         cdef SIZE_t n_bytes = self.n_outputs * sizeof(double)
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":802
 *         self.pos = self.end
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
 *         """Updated statistics by moving samples[pos:new_pos] to the left."""
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_update(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos) {
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  double *__pyx_v_sum_total;
  double *__pyx_v_sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_pos;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_w;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_y_ik;
  double *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  int __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_7;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_8;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_9;
  long __pyx_t_10;

  /* "sklearn/tree/_criterion.pyx":805
 *         """Updated statistics by moving samples[pos:new_pos] to the left."""
 * 
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 *         cdef double* sum_total = self.sum_total
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":806
 * 
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 *         cdef double* sum_total = self.sum_total
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":807
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 * 
 *         cdef double* sample_weight = self.sample_weight
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":809
 *         cdef double* sum_total = self.sum_total
 * 
 *         cdef double* sample_weight = self.sample_weight             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* samples = self.samples
 * 
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.sample_weight;
  __pyx_v_sample_weight = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":810
 * 
 *         cdef double* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples             # <<<<<<<<<<<<<<
 * 
 *         cdef DOUBLE_t* y = self.y
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.samples;
  __pyx_v_samples = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":812
 *         cdef SIZE_t* samples = self.samples
 * 
 *         cdef DOUBLE_t* y = self.y             # <<<<<<<<<<<<<<
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.y;
  __pyx_v_y = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":813
 * 
 *         cdef DOUBLE_t* y = self.y
 *         cdef SIZE_t pos = self.pos             # <<<<<<<<<<<<<<
 *         cdef SIZE_t end = self.end
 *         cdef SIZE_t i
 */
  __pyx_t_4 = __pyx_v_self->__pyx_base.pos;
  __pyx_v_pos = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":814
 *         cdef DOUBLE_t* y = self.y
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end             # <<<<<<<<<<<<<<
 *         cdef SIZE_t i
 *         cdef SIZE_t p
 */
  __pyx_t_4 = __pyx_v_self->__pyx_base.end;
  __pyx_v_end = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":818
 *         cdef SIZE_t p
 *         cdef SIZE_t k
 *         cdef DOUBLE_t w = 1.0             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t y_ik
 * 
 */
  __pyx_v_w = 1.0;

  /* "sklearn/tree/_criterion.pyx":829
 *         # of computations, i.e. from pos to new_pos or from end to new_po.
 * 
 *         if (new_pos - pos) <= (end - new_pos):             # <<<<<<<<<<<<<<
 *             for p in range(pos, new_pos):
 *                 i = samples[p]
 */
  __pyx_t_5 = (((__pyx_v_new_pos - __pyx_v_pos) <= (__pyx_v_end - __pyx_v_new_pos)) != 0);
  if (__pyx_t_5) {

    /* "sklearn/tree/_criterion.pyx":830
 * 
 *         if (new_pos - pos) <= (end - new_pos):
 *             for p in range(pos, new_pos):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_4 = __pyx_v_new_pos;
    for (__pyx_t_6 = __pyx_v_pos; __pyx_t_6 < __pyx_t_4; __pyx_t_6+=1) {
      __pyx_v_p = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":831
 *         if (new_pos - pos) <= (end - new_pos):
 *             for p in range(pos, new_pos):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 if sample_weight != NULL:
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":833
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      __pyx_t_5 = ((__pyx_v_sample_weight != NULL) != 0);
      if (__pyx_t_5) {

        /* "sklearn/tree/_criterion.pyx":834
 * 
 *                 if sample_weight != NULL:
 *                     w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *                 for k in range(self.n_outputs):
 */
        __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

        /* "sklearn/tree/_criterion.pyx":833
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      }

      /* "sklearn/tree/_criterion.pyx":836
 *                     w = sample_weight[i]
 * 
 *                 for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                     y_ik = y[i * self.y_stride + k]
 *                     sum_left[k] += w * y_ik
 */
      __pyx_t_7 = __pyx_v_self->__pyx_base.n_outputs;
      for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
        __pyx_v_k = __pyx_t_8;

        /* "sklearn/tree/_criterion.pyx":837
 * 
 *                 for k in range(self.n_outputs):
 *                     y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 *                     sum_left[k] += w * y_ik
 * 
 */
        __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.y_stride) + __pyx_v_k)]);

        /* "sklearn/tree/_criterion.pyx":838
 *                 for k in range(self.n_outputs):
 *                     y_ik = y[i * self.y_stride + k]
 *                     sum_left[k] += w * y_ik             # <<<<<<<<<<<<<<
 * 
 *                 self.weighted_n_left += w
 */
        __pyx_t_9 = __pyx_v_k;
        (__pyx_v_sum_left[__pyx_t_9]) = ((__pyx_v_sum_left[__pyx_t_9]) + (__pyx_v_w * __pyx_v_y_ik));
      }

      /* "sklearn/tree/_criterion.pyx":840
 *                     sum_left[k] += w * y_ik
 * 
 *                 self.weighted_n_left += w             # <<<<<<<<<<<<<<
 *         else:
 *             self.reverse_reset()
 */
      __pyx_v_self->__pyx_base.weighted_n_left = (__pyx_v_self->__pyx_base.weighted_n_left + __pyx_v_w);
    }

    /* "sklearn/tree/_criterion.pyx":829
 *         # of computations, i.e. from pos to new_pos or from end to new_po.
 * 
 *         if (new_pos - pos) <= (end - new_pos):             # <<<<<<<<<<<<<<
 *             for p in range(pos, new_pos):
 *                 i = samples[p]
 */
    goto __pyx_L3;
  }

  /* "sklearn/tree/_criterion.pyx":842
 *                 self.weighted_n_left += w
 *         else:
 *             self.reverse_reset()             # <<<<<<<<<<<<<<
 * 
 *             for p in range(end - 1, new_pos - 1, -1):
 */
  /*else*/ {
    ((struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_RegressionCriterion *)__pyx_v_self->__pyx_base.__pyx_vtab)->__pyx_base.reverse_reset(((struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *)__pyx_v_self));

    /* "sklearn/tree/_criterion.pyx":844
 *             self.reverse_reset()
 * 
 *             for p in range(end - 1, new_pos - 1, -1):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_10 = (__pyx_v_new_pos - 1);
    for (__pyx_t_4 = (__pyx_v_end - 1); __pyx_t_4 > __pyx_t_10; __pyx_t_4-=1) {
      __pyx_v_p = __pyx_t_4;

      /* "sklearn/tree/_criterion.pyx":845
 * 
 *             for p in range(end - 1, new_pos - 1, -1):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 if sample_weight != NULL:
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":847
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      __pyx_t_5 = ((__pyx_v_sample_weight != NULL) != 0);
      if (__pyx_t_5) {

        /* "sklearn/tree/_criterion.pyx":848
 * 
 *                 if sample_weight != NULL:
 *                     w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *                 for k in range(self.n_outputs):
 */
        __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

        /* "sklearn/tree/_criterion.pyx":847
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      }

      /* "sklearn/tree/_criterion.pyx":850
 *                     w = sample_weight[i]
 * 
 *                 for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                     y_ik = y[i * self.y_stride + k]
 *                     sum_left[k] -= w * y_ik
 */
      __pyx_t_6 = __pyx_v_self->__pyx_base.n_outputs;
      for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
        __pyx_v_k = __pyx_t_7;

        /* "sklearn/tree/_criterion.pyx":851
 * 
 *                 for k in range(self.n_outputs):
 *                     y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 *                     sum_left[k] -= w * y_ik
 * 
 */
        __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.y_stride) + __pyx_v_k)]);

        /* "sklearn/tree/_criterion.pyx":852
 *                 for k in range(self.n_outputs):
 *                     y_ik = y[i * self.y_stride + k]
 *                     sum_left[k] -= w * y_ik             # <<<<<<<<<<<<<<
 * 
 *                 self.weighted_n_left -= w
 */
        __pyx_t_8 = __pyx_v_k;
        (__pyx_v_sum_left[__pyx_t_8]) = ((__pyx_v_sum_left[__pyx_t_8]) - (__pyx_v_w * __pyx_v_y_ik));
      }

      /* "sklearn/tree/_criterion.pyx":854
 *                     sum_left[k] -= w * y_ik
 * 
 *                 self.weighted_n_left -= w             # <<<<<<<<<<<<<<
 * 
 *         self.weighted_n_right = (self.weighted_n_node_samples -
 */
      __pyx_v_self->__pyx_base.weighted_n_left = (__pyx_v_self->__pyx_base.weighted_n_left - __pyx_v_w);
    }
  }
  __pyx_L3:;

  /* "sklearn/tree/_criterion.pyx":856
 *                 self.weighted_n_left -= w
 * 
 *         self.weighted_n_right = (self.weighted_n_node_samples -             # <<<<<<<<<<<<<<
 *                                  self.weighted_n_left)
 *         for k in range(self.n_outputs):
 */
  __pyx_v_self->__pyx_base.weighted_n_right = (__pyx_v_self->__pyx_base.weighted_n_node_samples - __pyx_v_self->__pyx_base.weighted_n_left);

  /* "sklearn/tree/_criterion.pyx":858
 *         self.weighted_n_right = (self.weighted_n_node_samples -
 *                                  self.weighted_n_left)
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             sum_right[k] = sum_total[k] - sum_left[k]
 * 
 */
  __pyx_t_4 = __pyx_v_self->__pyx_base.n_outputs;
  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_4; __pyx_t_6+=1) {
    __pyx_v_k = __pyx_t_6;

    /* "sklearn/tree/_criterion.pyx":859
 *                                  self.weighted_n_left)
 *         for k in range(self.n_outputs):
 *             sum_right[k] = sum_total[k] - sum_left[k]             # <<<<<<<<<<<<<<
 * 
 *         self.pos = new_pos
 */
    (__pyx_v_sum_right[__pyx_v_k]) = ((__pyx_v_sum_total[__pyx_v_k]) - (__pyx_v_sum_left[__pyx_v_k]));
  }

  /* "sklearn/tree/_criterion.pyx":861
 *             sum_right[k] = sum_total[k] - sum_left[k]
 * 
 *         self.pos = new_pos             # <<<<<<<<<<<<<<
 * 
 *     cdef double node_impurity(self) nogil:
 */
  __pyx_v_self->__pyx_base.pos = __pyx_v_new_pos;

  /* "sklearn/tree/_criterion.pyx":802
 *         self.pos = self.end
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
 *         """Updated statistics by moving samples[pos:new_pos] to the left."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":863
 *         self.pos = new_pos
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         pass
 * 
 */

static double __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_node_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self) {
  double __pyx_r;

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

/* "sklearn/tree/_criterion.pyx":866
 *         pass
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         pass
 */

static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_children_impurity(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, CYTHON_UNUSED double *__pyx_v_impurity_left, CYTHON_UNUSED double *__pyx_v_impurity_right) {

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":870
 *         pass
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
 *         """Compute the node value of samples[start:end] into dest."""
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_19RegressionCriterion_node_value(struct __pyx_obj_7sklearn_4tree_10_criterion_RegressionCriterion *__pyx_v_self, double *__pyx_v_dest) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":875
 *         cdef SIZE_t k
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             dest[k] = self.sum_total[k] / self.weighted_n_node_samples
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.n_outputs;
  for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
    __pyx_v_k = __pyx_t_2;

    /* "sklearn/tree/_criterion.pyx":876
 * 
 *         for k in range(self.n_outputs):
 *             dest[k] = self.sum_total[k] / self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 * 
 * 
 */
    (__pyx_v_dest[__pyx_v_k]) = ((__pyx_v_self->__pyx_base.sum_total[__pyx_v_k]) / __pyx_v_self->__pyx_base.weighted_n_node_samples);
  }

  /* "sklearn/tree/_criterion.pyx":870
 *         pass
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
 *         """Compute the node value of samples[start:end] into dest."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":884
 *         MSE = var_left + var_right
 *     """
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *            samples[start:end]."""
 */

static double __pyx_f_7sklearn_4tree_10_criterion_3MSE_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MSE *__pyx_v_self) {
  double *__pyx_v_sum_total;
  double __pyx_v_impurity;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  double __pyx_r;
  double *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":888
 *            samples[start:end]."""
 * 
 *         cdef double* sum_total = self.sum_total             # <<<<<<<<<<<<<<
 *         cdef double impurity
 *         cdef SIZE_t k
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sum_total;
  __pyx_v_sum_total = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":892
 *         cdef SIZE_t k
 * 
 *         impurity = self.sq_sum_total / self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *         for k in range(self.n_outputs):
 *             impurity -= (sum_total[k] / self.weighted_n_node_samples)**2.0
 */
  __pyx_v_impurity = (__pyx_v_self->__pyx_base.sq_sum_total / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples);

  /* "sklearn/tree/_criterion.pyx":893
 * 
 *         impurity = self.sq_sum_total / self.weighted_n_node_samples
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             impurity -= (sum_total[k] / self.weighted_n_node_samples)**2.0
 * 
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_k = __pyx_t_3;

    /* "sklearn/tree/_criterion.pyx":894
 *         impurity = self.sq_sum_total / self.weighted_n_node_samples
 *         for k in range(self.n_outputs):
 *             impurity -= (sum_total[k] / self.weighted_n_node_samples)**2.0             # <<<<<<<<<<<<<<
 * 
 *         return impurity / self.n_outputs
 */
    __pyx_v_impurity = (__pyx_v_impurity - pow(((__pyx_v_sum_total[__pyx_v_k]) / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples), 2.0));
  }

  /* "sklearn/tree/_criterion.pyx":896
 *             impurity -= (sum_total[k] / self.weighted_n_node_samples)**2.0
 * 
 *         return impurity / self.n_outputs             # <<<<<<<<<<<<<<
 * 
 *     cdef double proxy_impurity_improvement(self) nogil:
 */
  __pyx_r = (__pyx_v_impurity / __pyx_v_self->__pyx_base.__pyx_base.n_outputs);
  goto __pyx_L0;

  /* "sklearn/tree/_criterion.pyx":884
 *         MSE = var_left + var_right
 *     """
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *            samples[start:end]."""
 */

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

/* "sklearn/tree/_criterion.pyx":898
 *         return impurity / self.n_outputs
 * 
 *     cdef double proxy_impurity_improvement(self) nogil:             # <<<<<<<<<<<<<<
 *         """Compute a proxy of the impurity reduction
 * 
 */

static double __pyx_f_7sklearn_4tree_10_criterion_3MSE_proxy_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_MSE *__pyx_v_self) {
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  double __pyx_v_proxy_impurity_left;
  double __pyx_v_proxy_impurity_right;
  double __pyx_r;
  double *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":910
 *         """
 * 
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":911
 * 
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t k
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":914
 * 
 *         cdef SIZE_t k
 *         cdef double proxy_impurity_left = 0.0             # <<<<<<<<<<<<<<
 *         cdef double proxy_impurity_right = 0.0
 * 
 */
  __pyx_v_proxy_impurity_left = 0.0;

  /* "sklearn/tree/_criterion.pyx":915
 *         cdef SIZE_t k
 *         cdef double proxy_impurity_left = 0.0
 *         cdef double proxy_impurity_right = 0.0             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
  __pyx_v_proxy_impurity_right = 0.0;

  /* "sklearn/tree/_criterion.pyx":917
 *         cdef double proxy_impurity_right = 0.0
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             proxy_impurity_left += sum_left[k] * sum_left[k]
 *             proxy_impurity_right += sum_right[k] * sum_right[k]
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_k = __pyx_t_3;

    /* "sklearn/tree/_criterion.pyx":918
 * 
 *         for k in range(self.n_outputs):
 *             proxy_impurity_left += sum_left[k] * sum_left[k]             # <<<<<<<<<<<<<<
 *             proxy_impurity_right += sum_right[k] * sum_right[k]
 * 
 */
    __pyx_v_proxy_impurity_left = (__pyx_v_proxy_impurity_left + ((__pyx_v_sum_left[__pyx_v_k]) * (__pyx_v_sum_left[__pyx_v_k])));

    /* "sklearn/tree/_criterion.pyx":919
 *         for k in range(self.n_outputs):
 *             proxy_impurity_left += sum_left[k] * sum_left[k]
 *             proxy_impurity_right += sum_right[k] * sum_right[k]             # <<<<<<<<<<<<<<
 * 
 *         return (proxy_impurity_left / self.weighted_n_left +
 */
    __pyx_v_proxy_impurity_right = (__pyx_v_proxy_impurity_right + ((__pyx_v_sum_right[__pyx_v_k]) * (__pyx_v_sum_right[__pyx_v_k])));
  }

  /* "sklearn/tree/_criterion.pyx":921
 *             proxy_impurity_right += sum_right[k] * sum_right[k]
 * 
 *         return (proxy_impurity_left / self.weighted_n_left +             # <<<<<<<<<<<<<<
 *                 proxy_impurity_right / self.weighted_n_right)
 * 
 */
  __pyx_r = ((__pyx_v_proxy_impurity_left / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left) + (__pyx_v_proxy_impurity_right / __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right));
  goto __pyx_L0;

  /* "sklearn/tree/_criterion.pyx":898
 *         return impurity / self.n_outputs
 * 
 *     cdef double proxy_impurity_improvement(self) nogil:             # <<<<<<<<<<<<<<
 *         """Compute a proxy of the impurity reduction
 * 
 */

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

/* "sklearn/tree/_criterion.pyx":924
 *                 proxy_impurity_right / self.weighted_n_right)
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes, i.e. the impurity of the
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MSE_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MSE *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right) {
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_pos;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start;
  double *__pyx_v_sum_left;
  double *__pyx_v_sum_right;
  double __pyx_v_sq_sum_left;
  double __pyx_v_sq_sum_right;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_w;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_y_ik;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  double *__pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  int __pyx_t_6;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_7;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_8;
  long __pyx_t_9;

  /* "sklearn/tree/_criterion.pyx":931
 * 
 * 
 *         cdef DOUBLE_t* y = self.y             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.y;
  __pyx_v_y = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":932
 * 
 *         cdef DOUBLE_t* y = self.y
 *         cdef DOUBLE_t* sample_weight = self.sample_weight             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* samples = self.samples
 *         cdef SIZE_t pos = self.pos
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sample_weight;
  __pyx_v_sample_weight = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":933
 *         cdef DOUBLE_t* y = self.y
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples             # <<<<<<<<<<<<<<
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t start = self.start
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.samples;
  __pyx_v_samples = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":934
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples
 *         cdef SIZE_t pos = self.pos             # <<<<<<<<<<<<<<
 *         cdef SIZE_t start = self.start
 * 
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.pos;
  __pyx_v_pos = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":935
 *         cdef SIZE_t* samples = self.samples
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t start = self.start             # <<<<<<<<<<<<<<
 * 
 *         cdef double* sum_left = self.sum_left
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.start;
  __pyx_v_start = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":937
 *         cdef SIZE_t start = self.start
 * 
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 * 
 */
  __pyx_t_4 = __pyx_v_self->__pyx_base.__pyx_base.sum_left;
  __pyx_v_sum_left = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":938
 * 
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 * 
 *         cdef double sq_sum_left = 0.0
 */
  __pyx_t_4 = __pyx_v_self->__pyx_base.__pyx_base.sum_right;
  __pyx_v_sum_right = __pyx_t_4;

  /* "sklearn/tree/_criterion.pyx":940
 *         cdef double* sum_right = self.sum_right
 * 
 *         cdef double sq_sum_left = 0.0             # <<<<<<<<<<<<<<
 *         cdef double sq_sum_right
 * 
 */
  __pyx_v_sq_sum_left = 0.0;

  /* "sklearn/tree/_criterion.pyx":946
 *         cdef SIZE_t p
 *         cdef SIZE_t k
 *         cdef DOUBLE_t w = 1.0             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t y_ik
 * 
 */
  __pyx_v_w = 1.0;

  /* "sklearn/tree/_criterion.pyx":949
 *         cdef DOUBLE_t y_ik
 * 
 *         for p in range(start, pos):             # <<<<<<<<<<<<<<
 *             i = samples[p]
 * 
 */
  __pyx_t_3 = __pyx_v_pos;
  for (__pyx_t_5 = __pyx_v_start; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) {
    __pyx_v_p = __pyx_t_5;

    /* "sklearn/tree/_criterion.pyx":950
 * 
 *         for p in range(start, pos):
 *             i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *             if sample_weight != NULL:
 */
    __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

    /* "sklearn/tree/_criterion.pyx":952
 *             i = samples[p]
 * 
 *             if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                 w = sample_weight[i]
 * 
 */
    __pyx_t_6 = ((__pyx_v_sample_weight != NULL) != 0);
    if (__pyx_t_6) {

      /* "sklearn/tree/_criterion.pyx":953
 * 
 *             if sample_weight != NULL:
 *                 w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *             for k in range(self.n_outputs):
 */
      __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

      /* "sklearn/tree/_criterion.pyx":952
 *             i = samples[p]
 * 
 *             if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                 w = sample_weight[i]
 * 
 */
    }

    /* "sklearn/tree/_criterion.pyx":955
 *                 w = sample_weight[i]
 * 
 *             for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                 y_ik = y[i * self.y_stride + k]
 *                 sq_sum_left += w * y_ik * y_ik
 */
    __pyx_t_7 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
    for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
      __pyx_v_k = __pyx_t_8;

      /* "sklearn/tree/_criterion.pyx":956
 * 
 *             for k in range(self.n_outputs):
 *                 y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 *                 sq_sum_left += w * y_ik * y_ik
 * 
 */
      __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.__pyx_base.y_stride) + __pyx_v_k)]);

      /* "sklearn/tree/_criterion.pyx":957
 *             for k in range(self.n_outputs):
 *                 y_ik = y[i * self.y_stride + k]
 *                 sq_sum_left += w * y_ik * y_ik             # <<<<<<<<<<<<<<
 * 
 *         sq_sum_right = self.sq_sum_total - sq_sum_left
 */
      __pyx_v_sq_sum_left = (__pyx_v_sq_sum_left + ((__pyx_v_w * __pyx_v_y_ik) * __pyx_v_y_ik));
    }
  }

  /* "sklearn/tree/_criterion.pyx":959
 *                 sq_sum_left += w * y_ik * y_ik
 * 
 *         sq_sum_right = self.sq_sum_total - sq_sum_left             # <<<<<<<<<<<<<<
 * 
 *         impurity_left[0] = sq_sum_left / self.weighted_n_left
 */
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 *     cdef DOUBLE_t* node_medians
 * 
 *     def __cinit__(self, SIZE_t n_outputs, SIZE_t n_samples):             # <<<<<<<<<<<<<<
 *         """Initialize parameters for this criterion.
 * 
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/* "sklearn/tree/_criterion.pyx":1029
 *             self.right_child[k] = WeightedMedianCalculator(n_samples)
 * 
 *     cdef void init(self, DOUBLE_t* y, SIZE_t y_stride, DOUBLE_t* sample_weight,             # <<<<<<<<<<<<<<
 *                    double weighted_n_samples, SIZE_t* samples, SIZE_t start,
 *                    SIZE_t end) nogil:
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_init(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_y_stride, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight, double __pyx_v_weighted_n_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_y_ik;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_w;
  void **__pyx_v_left_child;
  void **__pyx_v_right_child;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  int __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;

  /* "sklearn/tree/_criterion.pyx":1037
 *         cdef SIZE_t i, p, k
 *         cdef DOUBLE_t y_ik
 *         cdef DOUBLE_t w = 1.0             # <<<<<<<<<<<<<<
 * 
 *         # Initialize fields
 */
  __pyx_v_w = 1.0;

  /* "sklearn/tree/_criterion.pyx":1040
 * 
 *         # Initialize fields
 *         self.y = y             # <<<<<<<<<<<<<<
 *         self.y_stride = y_stride
 *         self.sample_weight = sample_weight
 */
  __pyx_v_self->__pyx_base.__pyx_base.y = __pyx_v_y;

  /* "sklearn/tree/_criterion.pyx":1041
 *         # Initialize fields
 *         self.y = y
 *         self.y_stride = y_stride             # <<<<<<<<<<<<<<
 *         self.sample_weight = sample_weight
 *         self.samples = samples
 */
  __pyx_v_self->__pyx_base.__pyx_base.y_stride = __pyx_v_y_stride;

  /* "sklearn/tree/_criterion.pyx":1042
 *         self.y = y
 *         self.y_stride = y_stride
 *         self.sample_weight = sample_weight             # <<<<<<<<<<<<<<
 *         self.samples = samples
 *         self.start = start
 */
  __pyx_v_self->__pyx_base.__pyx_base.sample_weight = __pyx_v_sample_weight;

  /* "sklearn/tree/_criterion.pyx":1043
 *         self.y_stride = y_stride
 *         self.sample_weight = sample_weight
 *         self.samples = samples             # <<<<<<<<<<<<<<
 *         self.start = start
 *         self.end = end
 */
  __pyx_v_self->__pyx_base.__pyx_base.samples = __pyx_v_samples;

  /* "sklearn/tree/_criterion.pyx":1044
 *         self.sample_weight = sample_weight
 *         self.samples = samples
 *         self.start = start             # <<<<<<<<<<<<<<
 *         self.end = end
 *         self.n_node_samples = end - start
 */
  __pyx_v_self->__pyx_base.__pyx_base.start = __pyx_v_start;

  /* "sklearn/tree/_criterion.pyx":1045
 *         self.samples = samples
 *         self.start = start
 *         self.end = end             # <<<<<<<<<<<<<<
 *         self.n_node_samples = end - start
 *         self.weighted_n_samples = weighted_n_samples
 */
  __pyx_v_self->__pyx_base.__pyx_base.end = __pyx_v_end;

  /* "sklearn/tree/_criterion.pyx":1046
 *         self.start = start
 *         self.end = end
 *         self.n_node_samples = end - start             # <<<<<<<<<<<<<<
 *         self.weighted_n_samples = weighted_n_samples
 *         self.weighted_n_node_samples = 0.
 */
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  /* "sklearn/tree/_criterion.pyx":1047
 *         self.end = end
 *         self.n_node_samples = end - start
 *         self.weighted_n_samples = weighted_n_samples             # <<<<<<<<<<<<<<
 *         self.weighted_n_node_samples = 0.
 * 
 */
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_samples = __pyx_v_weighted_n_samples;

  /* "sklearn/tree/_criterion.pyx":1048
 *         self.n_node_samples = end - start
 *         self.weighted_n_samples = weighted_n_samples
 *         self.weighted_n_node_samples = 0.             # <<<<<<<<<<<<<<
 * 
 *         cdef void** left_child
 */
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples = 0.;

  /* "sklearn/tree/_criterion.pyx":1053
 *         cdef void** right_child
 * 
 *         left_child = <void**> self.left_child.data             # <<<<<<<<<<<<<<
 *         right_child = <void**> self.right_child.data
 * 
 */
  __pyx_v_left_child = ((void **)__pyx_v_self->left_child->data);

  /* "sklearn/tree/_criterion.pyx":1054
 * 
 *         left_child = <void**> self.left_child.data
 *         right_child = <void**> self.right_child.data             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
  __pyx_v_right_child = ((void **)__pyx_v_self->right_child->data);

  /* "sklearn/tree/_criterion.pyx":1056
 *         right_child = <void**> self.right_child.data
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             (<WeightedMedianCalculator> left_child[k]).reset()
 *             (<WeightedMedianCalculator> right_child[k]).reset()
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
    __pyx_v_k = __pyx_t_2;

    /* "sklearn/tree/_criterion.pyx":1057
 * 
 *         for k in range(self.n_outputs):
 *             (<WeightedMedianCalculator> left_child[k]).reset()             # <<<<<<<<<<<<<<
 *             (<WeightedMedianCalculator> right_child[k]).reset()
 * 
 */
    ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->reset(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])));

    /* "sklearn/tree/_criterion.pyx":1058
 *         for k in range(self.n_outputs):
 *             (<WeightedMedianCalculator> left_child[k]).reset()
 *             (<WeightedMedianCalculator> right_child[k]).reset()             # <<<<<<<<<<<<<<
 * 
 *         for p in range(start, end):
 */
    ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->reset(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])));
  }

  /* "sklearn/tree/_criterion.pyx":1060
 *             (<WeightedMedianCalculator> right_child[k]).reset()
 * 
 *         for p in range(start, end):             # <<<<<<<<<<<<<<
 *             i = samples[p]
 * 
 */
  __pyx_t_1 = __pyx_v_end;
  for (__pyx_t_2 = __pyx_v_start; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
    __pyx_v_p = __pyx_t_2;

    /* "sklearn/tree/_criterion.pyx":1061
 * 
 *         for p in range(start, end):
 *             i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *             if sample_weight != NULL:
 */
    __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

    /* "sklearn/tree/_criterion.pyx":1063
 *             i = samples[p]
 * 
 *             if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                 w = sample_weight[i]
 * 
 */
    __pyx_t_3 = ((__pyx_v_sample_weight != NULL) != 0);
    if (__pyx_t_3) {

      /* "sklearn/tree/_criterion.pyx":1064
 * 
 *             if sample_weight != NULL:
 *                 w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *             for k in range(self.n_outputs):
 */
      __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

      /* "sklearn/tree/_criterion.pyx":1063
 *             i = samples[p]
 * 
 *             if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                 w = sample_weight[i]
 * 
 */
    }

    /* "sklearn/tree/_criterion.pyx":1066
 *                 w = sample_weight[i]
 * 
 *             for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                 y_ik = y[i * y_stride + k]
 * 
 */
    __pyx_t_4 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
    for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
      __pyx_v_k = __pyx_t_5;

      /* "sklearn/tree/_criterion.pyx":1067
 * 
 *             for k in range(self.n_outputs):
 *                 y_ik = y[i * y_stride + k]             # <<<<<<<<<<<<<<
 * 
 *                 # push all values to the right side,
 */
      __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_y_stride) + __pyx_v_k)]);

      /* "sklearn/tree/_criterion.pyx":1071
 *                 # push all values to the right side,
 *                 # since pos = start initially anyway
 *                 (<WeightedMedianCalculator> right_child[k]).push(y_ik, w)             # <<<<<<<<<<<<<<
 * 
 *             self.weighted_n_node_samples += w
 */
      ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->push(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])), __pyx_v_y_ik, __pyx_v_w);
    }

    /* "sklearn/tree/_criterion.pyx":1073
 *                 (<WeightedMedianCalculator> right_child[k]).push(y_ik, w)
 * 
 *             self.weighted_n_node_samples += w             # <<<<<<<<<<<<<<
 *         # calculate the node medians
 *         for k in range(self.n_outputs):
 */
    __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples = (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples + __pyx_v_w);
  }

  /* "sklearn/tree/_criterion.pyx":1075
 *             self.weighted_n_node_samples += w
 *         # calculate the node medians
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             self.node_medians[k] = (<WeightedMedianCalculator> right_child[k]).get_median()
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
    __pyx_v_k = __pyx_t_2;

    /* "sklearn/tree/_criterion.pyx":1076
 *         # calculate the node medians
 *         for k in range(self.n_outputs):
 *             self.node_medians[k] = (<WeightedMedianCalculator> right_child[k]).get_median()             # <<<<<<<<<<<<<<
 * 
 *         # Reset to pos=start
 */
    (__pyx_v_self->node_medians[__pyx_v_k]) = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->get_median(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])));
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  /* "sklearn/tree/_criterion.pyx":1079
 * 
 *         # Reset to pos=start
 *         self.reset()             # <<<<<<<<<<<<<<
 * 
 *     cdef void reset(self) nogil:
 */
  ((struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MAE *)__pyx_v_self->__pyx_base.__pyx_base.__pyx_vtab)->__pyx_base.__pyx_base.reset(((struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *)__pyx_v_self));

  /* "sklearn/tree/_criterion.pyx":1029
 *             self.right_child[k] = WeightedMedianCalculator(n_samples)
 * 
 *     cdef void init(self, DOUBLE_t* y, SIZE_t y_stride, DOUBLE_t* sample_weight,             # <<<<<<<<<<<<<<
 *                    double weighted_n_samples, SIZE_t* samples, SIZE_t start,
 *                    SIZE_t end) nogil:
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":1081
 *         self.reset()
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=start."""
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self) {
  CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_value;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_weight;
  void **__pyx_v_left_child;
  void **__pyx_v_right_child;
  double __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;

  /* "sklearn/tree/_criterion.pyx":1088
 *         cdef DOUBLE_t weight
 * 
 *         cdef void** left_child = <void**> self.left_child.data             # <<<<<<<<<<<<<<
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 */
  __pyx_v_left_child = ((void **)__pyx_v_self->left_child->data);

  /* "sklearn/tree/_criterion.pyx":1089
 * 
 *         cdef void** left_child = <void**> self.left_child.data
 *         cdef void** right_child = <void**> self.right_child.data             # <<<<<<<<<<<<<<
 * 
 *         self.weighted_n_left = 0.0
 */
  __pyx_v_right_child = ((void **)__pyx_v_self->right_child->data);

  /* "sklearn/tree/_criterion.pyx":1091
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 *         self.weighted_n_left = 0.0             # <<<<<<<<<<<<<<
 *         self.weighted_n_right = self.weighted_n_node_samples
 *         self.pos = self.start
 */
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left = 0.0;

  /* "sklearn/tree/_criterion.pyx":1092
 * 
 *         self.weighted_n_left = 0.0
 *         self.weighted_n_right = self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *         self.pos = self.start
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples;
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1093
 *         self.weighted_n_left = 0.0
 *         self.weighted_n_right = self.weighted_n_node_samples
 *         self.pos = self.start             # <<<<<<<<<<<<<<
 * 
 *         # reset the WeightedMedianCalculators, left should have no
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.start;
  __pyx_v_self->__pyx_base.__pyx_base.pos = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":1098
 *         # elements and right should have all elements.
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             # if left has no elements, it's already reset
 *             for i in range((<WeightedMedianCalculator> left_child[k]).size()):
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_k = __pyx_t_3;

    /* "sklearn/tree/_criterion.pyx":1100
 *         for k in range(self.n_outputs):
 *             # if left has no elements, it's already reset
 *             for i in range((<WeightedMedianCalculator> left_child[k]).size()):             # <<<<<<<<<<<<<<
 *                 # remove everything from left and put it into right
 *                 (<WeightedMedianCalculator> left_child[k]).pop(&value,
 */
    __pyx_t_4 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->size(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])));
    for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
      __pyx_v_i = __pyx_t_5;

      /* "sklearn/tree/_criterion.pyx":1102
 *             for i in range((<WeightedMedianCalculator> left_child[k]).size()):
 *                 # remove everything from left and put it into right
 *                 (<WeightedMedianCalculator> left_child[k]).pop(&value,             # <<<<<<<<<<<<<<
 *                                                                &weight)
 *                 (<WeightedMedianCalculator> right_child[k]).push(value,
 */
      ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->pop(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])), (&__pyx_v_value), (&__pyx_v_weight));

      /* "sklearn/tree/_criterion.pyx":1104
 *                 (<WeightedMedianCalculator> left_child[k]).pop(&value,
 *                                                                &weight)
 *                 (<WeightedMedianCalculator> right_child[k]).push(value,             # <<<<<<<<<<<<<<
 *                                                                  weight)
 * 
 */
      ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->push(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])), __pyx_v_value, __pyx_v_weight);
    }
  }

  /* "sklearn/tree/_criterion.pyx":1081
 *         self.reset()
 * 
 *     cdef void reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=start."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":1107
 *                                                                  weight)
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=end."""
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_reverse_reset(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self) {
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_value;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_weight;
  void **__pyx_v_left_child;
  void **__pyx_v_right_child;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  CYTHON_UNUSED __pyx_t_7sklearn_4tree_6_utils_SIZE_t __pyx_v_i;
  double __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_6_utils_SIZE_t __pyx_t_5;

  /* "sklearn/tree/_criterion.pyx":1110
 *         """Reset the criterion at pos=end."""
 * 
 *         self.weighted_n_right = 0.0             # <<<<<<<<<<<<<<
 *         self.weighted_n_left = self.weighted_n_node_samples
 *         self.pos = self.end
 */
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right = 0.0;

  /* "sklearn/tree/_criterion.pyx":1111
 * 
 *         self.weighted_n_right = 0.0
 *         self.weighted_n_left = self.weighted_n_node_samples             # <<<<<<<<<<<<<<
 *         self.pos = self.end
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples;
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1112
 *         self.weighted_n_right = 0.0
 *         self.weighted_n_left = self.weighted_n_node_samples
 *         self.pos = self.end             # <<<<<<<<<<<<<<
 * 
 *         cdef DOUBLE_t value
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.end;
  __pyx_v_self->__pyx_base.__pyx_base.pos = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":1116
 *         cdef DOUBLE_t value
 *         cdef DOUBLE_t weight
 *         cdef void** left_child = <void**> self.left_child.data             # <<<<<<<<<<<<<<
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 */
  __pyx_v_left_child = ((void **)__pyx_v_self->left_child->data);

  /* "sklearn/tree/_criterion.pyx":1117
 *         cdef DOUBLE_t weight
 *         cdef void** left_child = <void**> self.left_child.data
 *         cdef void** right_child = <void**> self.right_child.data             # <<<<<<<<<<<<<<
 * 
 *         # reverse reset the WeightedMedianCalculators, right should have no
 */
  __pyx_v_right_child = ((void **)__pyx_v_self->right_child->data);

  /* "sklearn/tree/_criterion.pyx":1121
 *         # reverse reset the WeightedMedianCalculators, right should have no
 *         # elements and left should have all elements.
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             # if right has no elements, it's already reset
 *             for i in range((<WeightedMedianCalculator> right_child[k]).size()):
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
    __pyx_v_k = __pyx_t_3;

    /* "sklearn/tree/_criterion.pyx":1123
 *         for k in range(self.n_outputs):
 *             # if right has no elements, it's already reset
 *             for i in range((<WeightedMedianCalculator> right_child[k]).size()):             # <<<<<<<<<<<<<<
 *                 # remove everything from right and put it into left
 *                 (<WeightedMedianCalculator> right_child[k]).pop(&value,
 */
    __pyx_t_4 = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->size(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])));
    for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
      __pyx_v_i = __pyx_t_5;

      /* "sklearn/tree/_criterion.pyx":1125
 *             for i in range((<WeightedMedianCalculator> right_child[k]).size()):
 *                 # remove everything from right and put it into left
 *                 (<WeightedMedianCalculator> right_child[k]).pop(&value,             # <<<<<<<<<<<<<<
 *                                                                 &weight)
 *                 (<WeightedMedianCalculator> left_child[k]).push(value,
 */
      ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->pop(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])), (&__pyx_v_value), (&__pyx_v_weight));

      /* "sklearn/tree/_criterion.pyx":1127
 *                 (<WeightedMedianCalculator> right_child[k]).pop(&value,
 *                                                                 &weight)
 *                 (<WeightedMedianCalculator> left_child[k]).push(value,             # <<<<<<<<<<<<<<
 *                                                                 weight)
 * 
 */
      ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->push(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])), __pyx_v_value, __pyx_v_weight);
    }
  }

  /* "sklearn/tree/_criterion.pyx":1107
 *                                                                  weight)
 * 
 *     cdef void reverse_reset(self) nogil:             # <<<<<<<<<<<<<<
 *         """Reset the criterion at pos=end."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":1130
 *                                                                 weight)
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
 *         """Updated statistics by moving samples[pos:new_pos] to the left."""
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_update(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_new_pos) {
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples;
  void **__pyx_v_left_child;
  void **__pyx_v_right_child;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_pos;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_w;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_y_ik;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  int __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_7;
  long __pyx_t_8;

  /* "sklearn/tree/_criterion.pyx":1133
 *         """Updated statistics by moving samples[pos:new_pos] to the left."""
 * 
 *         cdef DOUBLE_t* sample_weight = self.sample_weight             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* samples = self.samples
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sample_weight;
  __pyx_v_sample_weight = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1134
 * 
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples             # <<<<<<<<<<<<<<
 * 
 *         cdef void** left_child = <void**> self.left_child.data
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.samples;
  __pyx_v_samples = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":1136
 *         cdef SIZE_t* samples = self.samples
 * 
 *         cdef void** left_child = <void**> self.left_child.data             # <<<<<<<<<<<<<<
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 */
  __pyx_v_left_child = ((void **)__pyx_v_self->left_child->data);

  /* "sklearn/tree/_criterion.pyx":1137
 * 
 *         cdef void** left_child = <void**> self.left_child.data
 *         cdef void** right_child = <void**> self.right_child.data             # <<<<<<<<<<<<<<
 * 
 *         cdef DOUBLE_t* y = self.y
 */
  __pyx_v_right_child = ((void **)__pyx_v_self->right_child->data);

  /* "sklearn/tree/_criterion.pyx":1139
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 *         cdef DOUBLE_t* y = self.y             # <<<<<<<<<<<<<<
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.y;
  __pyx_v_y = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1140
 * 
 *         cdef DOUBLE_t* y = self.y
 *         cdef SIZE_t pos = self.pos             # <<<<<<<<<<<<<<
 *         cdef SIZE_t end = self.end
 *         cdef SIZE_t i, p, k
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.pos;
  __pyx_v_pos = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":1141
 *         cdef DOUBLE_t* y = self.y
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end             # <<<<<<<<<<<<<<
 *         cdef SIZE_t i, p, k
 *         cdef DOUBLE_t w = 1.0
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.end;
  __pyx_v_end = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":1143
 *         cdef SIZE_t end = self.end
 *         cdef SIZE_t i, p, k
 *         cdef DOUBLE_t w = 1.0             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t y_ik
 * 
 */
  __pyx_v_w = 1.0;

  /* "sklearn/tree/_criterion.pyx":1152
 *         # computations, i.e. from pos to new_pos or from end to new_pos.
 * 
 *         if (new_pos - pos) <= (end - new_pos):             # <<<<<<<<<<<<<<
 *             for p in range(pos, new_pos):
 *                 i = samples[p]
 */
  __pyx_t_4 = (((__pyx_v_new_pos - __pyx_v_pos) <= (__pyx_v_end - __pyx_v_new_pos)) != 0);
  if (__pyx_t_4) {

    /* "sklearn/tree/_criterion.pyx":1153
 * 
 *         if (new_pos - pos) <= (end - new_pos):
 *             for p in range(pos, new_pos):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_3 = __pyx_v_new_pos;
    for (__pyx_t_5 = __pyx_v_pos; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) {
      __pyx_v_p = __pyx_t_5;

      /* "sklearn/tree/_criterion.pyx":1154
 *         if (new_pos - pos) <= (end - new_pos):
 *             for p in range(pos, new_pos):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 if sample_weight != NULL:
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":1156
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      __pyx_t_4 = ((__pyx_v_sample_weight != NULL) != 0);
      if (__pyx_t_4) {

        /* "sklearn/tree/_criterion.pyx":1157
 * 
 *                 if sample_weight != NULL:
 *                     w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *                 for k in range(self.n_outputs):
 */
        __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

        /* "sklearn/tree/_criterion.pyx":1156
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      }

      /* "sklearn/tree/_criterion.pyx":1159
 *                     w = sample_weight[i]
 * 
 *                 for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                     y_ik = y[i * self.y_stride + k]
 *                     # remove y_ik and its weight w from right and add to left
 */
      __pyx_t_6 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
      for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
        __pyx_v_k = __pyx_t_7;

        /* "sklearn/tree/_criterion.pyx":1160
 * 
 *                 for k in range(self.n_outputs):
 *                     y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 *                     # remove y_ik and its weight w from right and add to left
 *                     (<WeightedMedianCalculator> right_child[k]).remove(y_ik, w)
 */
        __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.__pyx_base.y_stride) + __pyx_v_k)]);

        /* "sklearn/tree/_criterion.pyx":1162
 *                     y_ik = y[i * self.y_stride + k]
 *                     # remove y_ik and its weight w from right and add to left
 *                     (<WeightedMedianCalculator> right_child[k]).remove(y_ik, w)             # <<<<<<<<<<<<<<
 *                     (<WeightedMedianCalculator> left_child[k]).push(y_ik, w)
 * 
 */
        ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->remove(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])), __pyx_v_y_ik, __pyx_v_w);

        /* "sklearn/tree/_criterion.pyx":1163
 *                     # remove y_ik and its weight w from right and add to left
 *                     (<WeightedMedianCalculator> right_child[k]).remove(y_ik, w)
 *                     (<WeightedMedianCalculator> left_child[k]).push(y_ik, w)             # <<<<<<<<<<<<<<
 * 
 *                 self.weighted_n_left += w
 */
        ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->push(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])), __pyx_v_y_ik, __pyx_v_w);
      }

      /* "sklearn/tree/_criterion.pyx":1165
 *                     (<WeightedMedianCalculator> left_child[k]).push(y_ik, w)
 * 
 *                 self.weighted_n_left += w             # <<<<<<<<<<<<<<
 *         else:
 *             self.reverse_reset()
 */
      __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left = (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_left + __pyx_v_w);
    }

    /* "sklearn/tree/_criterion.pyx":1152
 *         # computations, i.e. from pos to new_pos or from end to new_pos.
 * 
 *         if (new_pos - pos) <= (end - new_pos):             # <<<<<<<<<<<<<<
 *             for p in range(pos, new_pos):
 *                 i = samples[p]
 */
    goto __pyx_L3;
  }

  /* "sklearn/tree/_criterion.pyx":1167
 *                 self.weighted_n_left += w
 *         else:
 *             self.reverse_reset()             # <<<<<<<<<<<<<<
 * 
 *             for p in range(end - 1, new_pos - 1, -1):
 */
  /*else*/ {
    ((struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MAE *)__pyx_v_self->__pyx_base.__pyx_base.__pyx_vtab)->__pyx_base.__pyx_base.reverse_reset(((struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *)__pyx_v_self));

    /* "sklearn/tree/_criterion.pyx":1169
 *             self.reverse_reset()
 * 
 *             for p in range(end - 1, new_pos - 1, -1):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_8 = (__pyx_v_new_pos - 1);
    for (__pyx_t_3 = (__pyx_v_end - 1); __pyx_t_3 > __pyx_t_8; __pyx_t_3-=1) {
      __pyx_v_p = __pyx_t_3;

      /* "sklearn/tree/_criterion.pyx":1170
 * 
 *             for p in range(end - 1, new_pos - 1, -1):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 if sample_weight != NULL:
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":1172
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      __pyx_t_4 = ((__pyx_v_sample_weight != NULL) != 0);
      if (__pyx_t_4) {

        /* "sklearn/tree/_criterion.pyx":1173
 * 
 *                 if sample_weight != NULL:
 *                     w = sample_weight[i]             # <<<<<<<<<<<<<<
 * 
 *                 for k in range(self.n_outputs):
 */
        __pyx_v_w = (__pyx_v_sample_weight[__pyx_v_i]);

        /* "sklearn/tree/_criterion.pyx":1172
 *                 i = samples[p]
 * 
 *                 if sample_weight != NULL:             # <<<<<<<<<<<<<<
 *                     w = sample_weight[i]
 * 
 */
      }

      /* "sklearn/tree/_criterion.pyx":1175
 *                     w = sample_weight[i]
 * 
 *                 for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *                     y_ik = y[i * self.y_stride + k]
 *                     # remove y_ik and its weight w from left and add to right
 */
      __pyx_t_5 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
      for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
        __pyx_v_k = __pyx_t_6;

        /* "sklearn/tree/_criterion.pyx":1176
 * 
 *                 for k in range(self.n_outputs):
 *                     y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 *                     # remove y_ik and its weight w from left and add to right
 *                     (<WeightedMedianCalculator> left_child[k]).remove(y_ik, w)
 */
        __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.__pyx_base.y_stride) + __pyx_v_k)]);

        /* "sklearn/tree/_criterion.pyx":1178
 *                     y_ik = y[i * self.y_stride + k]
 *                     # remove y_ik and its weight w from left and add to right
 *                     (<WeightedMedianCalculator> left_child[k]).remove(y_ik, w)             # <<<<<<<<<<<<<<
 *                     (<WeightedMedianCalculator> right_child[k]).push(y_ik, w)
 * 
 */
        ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->remove(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])), __pyx_v_y_ik, __pyx_v_w);

        /* "sklearn/tree/_criterion.pyx":1179
 *                     # remove y_ik and its weight w from left and add to right
 *                     (<WeightedMedianCalculator> left_child[k]).remove(y_ik, w)
 *                     (<WeightedMedianCalculator> right_child[k]).push(y_ik, w)             # <<<<<<<<<<<<<<
 * 
 *                 self.weighted_n_left -= w
 */
        ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->push(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])), __pyx_v_y_ik, __pyx_v_w);
      }

      /* "sklearn/tree/_criterion.pyx":1181
 *                     (<WeightedMedianCalculator> right_child[k]).push(y_ik, w)
 * 
 *                 self.weighted_n_left -= w             # <<<<<<<<<<<<<<
 * 
 *         self.weighted_n_right = (self.weighted_n_node_samples -
 */
      __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left = (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_left - __pyx_v_w);
    }
  }
  __pyx_L3:;

  /* "sklearn/tree/_criterion.pyx":1183
 *                 self.weighted_n_left -= w
 * 
 *         self.weighted_n_right = (self.weighted_n_node_samples -             # <<<<<<<<<<<<<<
 *                                  self.weighted_n_left)
 *         self.pos = new_pos
 */
  __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right = (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples - __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left);

  /* "sklearn/tree/_criterion.pyx":1185
 *         self.weighted_n_right = (self.weighted_n_node_samples -
 *                                  self.weighted_n_left)
 *         self.pos = new_pos             # <<<<<<<<<<<<<<
 * 
 *     cdef void node_value(self, double* dest) nogil:
 */
  __pyx_v_self->__pyx_base.__pyx_base.pos = __pyx_v_new_pos;

  /* "sklearn/tree/_criterion.pyx":1130
 *                                                                 weight)
 * 
 *     cdef void update(self, SIZE_t new_pos) nogil:             # <<<<<<<<<<<<<<
 *         """Updated statistics by moving samples[pos:new_pos] to the left."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":1187
 *         self.pos = new_pos
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
 *         """Computes the node value of samples[start:end] into dest."""
 * 
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_node_value(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, double *__pyx_v_dest) {
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":1191
 * 
 *         cdef SIZE_t k
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             dest[k] = <double> self.node_medians[k]
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
    __pyx_v_k = __pyx_t_2;

    /* "sklearn/tree/_criterion.pyx":1192
 *         cdef SIZE_t k
 *         for k in range(self.n_outputs):
 *             dest[k] = <double> self.node_medians[k]             # <<<<<<<<<<<<<<
 * 
 *     cdef double node_impurity(self) nogil:
 */
    (__pyx_v_dest[__pyx_v_k]) = ((double)(__pyx_v_self->node_medians[__pyx_v_k]));
  }

  /* "sklearn/tree/_criterion.pyx":1187
 *         self.pos = new_pos
 * 
 *     cdef void node_value(self, double* dest) nogil:             # <<<<<<<<<<<<<<
 *         """Computes the node value of samples[start:end] into dest."""
 * 
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":1194
 *             dest[k] = <double> self.node_medians[k]
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *            samples[start:end]"""
 */

static double __pyx_f_7sklearn_4tree_10_criterion_3MAE_node_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self) {
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y;
  CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_y_ik;
  double __pyx_v_impurity;
  double __pyx_r;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;

  /* "sklearn/tree/_criterion.pyx":1198
 *            samples[start:end]"""
 * 
 *         cdef DOUBLE_t* y = self.y             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.y;
  __pyx_v_y = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1199
 * 
 *         cdef DOUBLE_t* y = self.y
 *         cdef DOUBLE_t* sample_weight = self.sample_weight             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* samples = self.samples
 *         cdef SIZE_t i, p, k
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sample_weight;
  __pyx_v_sample_weight = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1200
 *         cdef DOUBLE_t* y = self.y
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples             # <<<<<<<<<<<<<<
 *         cdef SIZE_t i, p, k
 *         cdef DOUBLE_t y_ik
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.samples;
  __pyx_v_samples = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":1205
 *         cdef DOUBLE_t w_y_ik
 * 
 *         cdef double impurity = 0.0             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
  __pyx_v_impurity = 0.0;

  /* "sklearn/tree/_criterion.pyx":1207
 *         cdef double impurity = 0.0
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             for p in range(self.start, self.end):
 *                 i = samples[p]
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":1208
 * 
 *         for k in range(self.n_outputs):
 *             for p in range(self.start, self.end):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_5 = __pyx_v_self->__pyx_base.__pyx_base.end;
    for (__pyx_t_6 = __pyx_v_self->__pyx_base.__pyx_base.start; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_p = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":1209
 *         for k in range(self.n_outputs):
 *             for p in range(self.start, self.end):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 y_ik = y[i * self.y_stride + k]
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":1211
 *                 i = samples[p]
 * 
 *                 y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 * 
 *                 impurity += <double> fabs((<double> y_ik) - <double> self.node_medians[k])
 */
      __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.__pyx_base.y_stride) + __pyx_v_k)]);

      /* "sklearn/tree/_criterion.pyx":1213
 *                 y_ik = y[i * self.y_stride + k]
 * 
 *                 impurity += <double> fabs((<double> y_ik) - <double> self.node_medians[k])             # <<<<<<<<<<<<<<
 *         return impurity / (self.weighted_n_node_samples * self.n_outputs)
 * 
 */
      __pyx_v_impurity = (__pyx_v_impurity + ((double)fabs((((double)__pyx_v_y_ik) - ((double)(__pyx_v_self->node_medians[__pyx_v_k]))))));
    }
  }

  /* "sklearn/tree/_criterion.pyx":1214
 * 
 *                 impurity += <double> fabs((<double> y_ik) - <double> self.node_medians[k])
 *         return impurity / (self.weighted_n_node_samples * self.n_outputs)             # <<<<<<<<<<<<<<
 * 
 *     cdef void children_impurity(self, double* impurity_left,
 */
  __pyx_r = (__pyx_v_impurity / (__pyx_v_self->__pyx_base.__pyx_base.weighted_n_node_samples * __pyx_v_self->__pyx_base.__pyx_base.n_outputs));
  goto __pyx_L0;

  /* "sklearn/tree/_criterion.pyx":1194
 *             dest[k] = <double> self.node_medians[k]
 * 
 *     cdef double node_impurity(self) nogil:             # <<<<<<<<<<<<<<
 *         """Evaluate the impurity of the current node, i.e. the impurity of
 *            samples[start:end]"""
 */

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

/* "sklearn/tree/_criterion.pyx":1216
 *         return impurity / (self.weighted_n_node_samples * self.n_outputs)
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes, i.e. the impurity of the
 */

static void __pyx_f_7sklearn_4tree_10_criterion_3MAE_children_impurity(struct __pyx_obj_7sklearn_4tree_10_criterion_MAE *__pyx_v_self, double *__pyx_v_impurity_left, double *__pyx_v_impurity_right) {
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_y;
  CYTHON_UNUSED __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_v_sample_weight;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_v_samples;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_start;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_pos;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_end;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_i;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_p;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_v_k;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_y_ik;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t __pyx_v_median;
  void **__pyx_v_left_child;
  void **__pyx_v_right_child;
  __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *__pyx_t_1;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *__pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_4;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_5;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_6;
  long __pyx_t_7;

  /* "sklearn/tree/_criterion.pyx":1223
 *         """
 * 
 *         cdef DOUBLE_t* y = self.y             # <<<<<<<<<<<<<<
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.y;
  __pyx_v_y = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1224
 * 
 *         cdef DOUBLE_t* y = self.y
 *         cdef DOUBLE_t* sample_weight = self.sample_weight             # <<<<<<<<<<<<<<
 *         cdef SIZE_t* samples = self.samples
 * 
 */
  __pyx_t_1 = __pyx_v_self->__pyx_base.__pyx_base.sample_weight;
  __pyx_v_sample_weight = __pyx_t_1;

  /* "sklearn/tree/_criterion.pyx":1225
 *         cdef DOUBLE_t* y = self.y
 *         cdef DOUBLE_t* sample_weight = self.sample_weight
 *         cdef SIZE_t* samples = self.samples             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t start = self.start
 */
  __pyx_t_2 = __pyx_v_self->__pyx_base.__pyx_base.samples;
  __pyx_v_samples = __pyx_t_2;

  /* "sklearn/tree/_criterion.pyx":1227
 *         cdef SIZE_t* samples = self.samples
 * 
 *         cdef SIZE_t start = self.start             # <<<<<<<<<<<<<<
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.start;
  __pyx_v_start = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":1228
 * 
 *         cdef SIZE_t start = self.start
 *         cdef SIZE_t pos = self.pos             # <<<<<<<<<<<<<<
 *         cdef SIZE_t end = self.end
 * 
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.pos;
  __pyx_v_pos = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":1229
 *         cdef SIZE_t start = self.start
 *         cdef SIZE_t pos = self.pos
 *         cdef SIZE_t end = self.end             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t i, p, k
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.end;
  __pyx_v_end = __pyx_t_3;

  /* "sklearn/tree/_criterion.pyx":1235
 *         cdef DOUBLE_t median
 * 
 *         cdef void** left_child = <void**> self.left_child.data             # <<<<<<<<<<<<<<
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 */
  __pyx_v_left_child = ((void **)__pyx_v_self->left_child->data);

  /* "sklearn/tree/_criterion.pyx":1236
 * 
 *         cdef void** left_child = <void**> self.left_child.data
 *         cdef void** right_child = <void**> self.right_child.data             # <<<<<<<<<<<<<<
 * 
 *         impurity_left[0] = 0.0
 */
  __pyx_v_right_child = ((void **)__pyx_v_self->right_child->data);

  /* "sklearn/tree/_criterion.pyx":1238
 *         cdef void** right_child = <void**> self.right_child.data
 * 
 *         impurity_left[0] = 0.0             # <<<<<<<<<<<<<<
 *         impurity_right[0] = 0.0
 * 
 */
  (__pyx_v_impurity_left[0]) = 0.0;

  /* "sklearn/tree/_criterion.pyx":1239
 * 
 *         impurity_left[0] = 0.0
 *         impurity_right[0] = 0.0             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
  (__pyx_v_impurity_right[0]) = 0.0;

  /* "sklearn/tree/_criterion.pyx":1241
 *         impurity_right[0] = 0.0
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             median = (<WeightedMedianCalculator> left_child[k]).get_median()
 *             for p in range(start, pos):
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":1242
 * 
 *         for k in range(self.n_outputs):
 *             median = (<WeightedMedianCalculator> left_child[k]).get_median()             # <<<<<<<<<<<<<<
 *             for p in range(start, pos):
 *                 i = samples[p]
 */
    __pyx_v_median = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k]))->__pyx_vtab)->get_median(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_left_child[__pyx_v_k])));

    /* "sklearn/tree/_criterion.pyx":1243
 *         for k in range(self.n_outputs):
 *             median = (<WeightedMedianCalculator> left_child[k]).get_median()
 *             for p in range(start, pos):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_5 = __pyx_v_pos;
    for (__pyx_t_6 = __pyx_v_start; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_p = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":1244
 *             median = (<WeightedMedianCalculator> left_child[k]).get_median()
 *             for p in range(start, pos):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 y_ik = y[i * self.y_stride + k]
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":1246
 *                 i = samples[p]
 * 
 *                 y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 * 
 *                 impurity_left[0] += <double>fabs((<double> y_ik) -
 */
      __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.__pyx_base.y_stride) + __pyx_v_k)]);

      /* "sklearn/tree/_criterion.pyx":1248
 *                 y_ik = y[i * self.y_stride + k]
 * 
 *                 impurity_left[0] += <double>fabs((<double> y_ik) -             # <<<<<<<<<<<<<<
 *                                                  <double> median)
 *         impurity_left[0] /= <double>((self.weighted_n_left) * self.n_outputs)
 */
      __pyx_t_7 = 0;

      /* "sklearn/tree/_criterion.pyx":1249
 * 
 *                 impurity_left[0] += <double>fabs((<double> y_ik) -
 *                                                  <double> median)             # <<<<<<<<<<<<<<
 *         impurity_left[0] /= <double>((self.weighted_n_left) * self.n_outputs)
 * 
 */
      (__pyx_v_impurity_left[__pyx_t_7]) = ((__pyx_v_impurity_left[__pyx_t_7]) + ((double)fabs((((double)__pyx_v_y_ik) - ((double)__pyx_v_median)))));
    }
  }

  /* "sklearn/tree/_criterion.pyx":1250
 *                 impurity_left[0] += <double>fabs((<double> y_ik) -
 *                                                  <double> median)
 *         impurity_left[0] /= <double>((self.weighted_n_left) * self.n_outputs)             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
  __pyx_t_7 = 0;
  (__pyx_v_impurity_left[__pyx_t_7]) = ((__pyx_v_impurity_left[__pyx_t_7]) / ((double)(__pyx_v_self->__pyx_base.__pyx_base.weighted_n_left * __pyx_v_self->__pyx_base.__pyx_base.n_outputs)));

  /* "sklearn/tree/_criterion.pyx":1252
 *         impurity_left[0] /= <double>((self.weighted_n_left) * self.n_outputs)
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             median = (<WeightedMedianCalculator> right_child[k]).get_median()
 *             for p in range(pos, end):
 */
  __pyx_t_3 = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
    __pyx_v_k = __pyx_t_4;

    /* "sklearn/tree/_criterion.pyx":1253
 * 
 *         for k in range(self.n_outputs):
 *             median = (<WeightedMedianCalculator> right_child[k]).get_median()             # <<<<<<<<<<<<<<
 *             for p in range(pos, end):
 *                 i = samples[p]
 */
    __pyx_v_median = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k]))->__pyx_vtab)->get_median(((struct __pyx_obj_7sklearn_4tree_6_utils_WeightedMedianCalculator *)(__pyx_v_right_child[__pyx_v_k])));

    /* "sklearn/tree/_criterion.pyx":1254
 *         for k in range(self.n_outputs):
 *             median = (<WeightedMedianCalculator> right_child[k]).get_median()
 *             for p in range(pos, end):             # <<<<<<<<<<<<<<
 *                 i = samples[p]
 * 
 */
    __pyx_t_5 = __pyx_v_end;
    for (__pyx_t_6 = __pyx_v_pos; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_p = __pyx_t_6;

      /* "sklearn/tree/_criterion.pyx":1255
 *             median = (<WeightedMedianCalculator> right_child[k]).get_median()
 *             for p in range(pos, end):
 *                 i = samples[p]             # <<<<<<<<<<<<<<
 * 
 *                 y_ik = y[i * self.y_stride + k]
 */
      __pyx_v_i = (__pyx_v_samples[__pyx_v_p]);

      /* "sklearn/tree/_criterion.pyx":1257
 *                 i = samples[p]
 * 
 *                 y_ik = y[i * self.y_stride + k]             # <<<<<<<<<<<<<<
 * 
 *                 impurity_right[0] += <double>fabs((<double> y_ik) -
 */
      __pyx_v_y_ik = (__pyx_v_y[((__pyx_v_i * __pyx_v_self->__pyx_base.__pyx_base.y_stride) + __pyx_v_k)]);

      /* "sklearn/tree/_criterion.pyx":1259
 *                 y_ik = y[i * self.y_stride + k]
 * 
 *                 impurity_right[0] += <double>fabs((<double> y_ik) -             # <<<<<<<<<<<<<<
 *                                                   <double> median)
 *         impurity_right[0] /= <double>((self.weighted_n_right) *
 */
      __pyx_t_7 = 0;

      /* "sklearn/tree/_criterion.pyx":1260
 * 
 *                 impurity_right[0] += <double>fabs((<double> y_ik) -
 *                                                   <double> median)             # <<<<<<<<<<<<<<
 *         impurity_right[0] /= <double>((self.weighted_n_right) *
 *                                       self.n_outputs)
 */
      (__pyx_v_impurity_right[__pyx_t_7]) = ((__pyx_v_impurity_right[__pyx_t_7]) + ((double)fabs((((double)__pyx_v_y_ik) - ((double)__pyx_v_median)))));
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  /* "sklearn/tree/_criterion.pyx":1261
 *                 impurity_right[0] += <double>fabs((<double> y_ik) -
 *                                                   <double> median)
 *         impurity_right[0] /= <double>((self.weighted_n_right) *             # <<<<<<<<<<<<<<
 *                                       self.n_outputs)
 * 
 */
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  /* "sklearn/tree/_criterion.pyx":1262
 *                                                   <double> median)
 *         impurity_right[0] /= <double>((self.weighted_n_right) *
 *                                       self.n_outputs)             # <<<<<<<<<<<<<<
 * 
 * 
 */
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  /* "sklearn/tree/_criterion.pyx":1216
 *         return impurity / (self.weighted_n_node_samples * self.n_outputs)
 * 
 *     cdef void children_impurity(self, double* impurity_left,             # <<<<<<<<<<<<<<
 *                                 double* impurity_right) nogil:
 *         """Evaluate the impurity in children nodes, i.e. the impurity of the
 */

  /* function exit code */
}

/* "sklearn/tree/_criterion.pyx":1274
 *     """
 * 
 *     cdef double proxy_impurity_improvement(self) nogil:             # <<<<<<<<<<<<<<
 *         """Compute a proxy of the impurity reduction
 * 
 */

static double __pyx_f_7sklearn_4tree_10_criterion_11FriedmanMSE_proxy_impurity_improvement(struct __pyx_obj_7sklearn_4tree_10_criterion_FriedmanMSE *__pyx_v_self) {
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  double __pyx_v_total_sum_right;
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  double __pyx_r;
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  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_2;
  __pyx_t_7sklearn_4tree_10_criterion_SIZE_t __pyx_t_3;

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 * 
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 * 
 */
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  /* "sklearn/tree/_criterion.pyx":1287
 * 
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 * 
 *         cdef double total_sum_left = 0.0
 */
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  /* "sklearn/tree/_criterion.pyx":1289
 *         cdef double* sum_right = self.sum_right
 * 
 *         cdef double total_sum_left = 0.0             # <<<<<<<<<<<<<<
 *         cdef double total_sum_right = 0.0
 * 
 */
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  /* "sklearn/tree/_criterion.pyx":1290
 * 
 *         cdef double total_sum_left = 0.0
 *         cdef double total_sum_right = 0.0             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t k
 */
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  /* "sklearn/tree/_criterion.pyx":1293
 * 
 *         cdef SIZE_t k
 *         cdef double diff = 0.0             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
  __pyx_v_diff = 0.0;

  /* "sklearn/tree/_criterion.pyx":1295
 *         cdef double diff = 0.0
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             total_sum_left += sum_left[k]
 *             total_sum_right += sum_right[k]
 */
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 * 
 *         for k in range(self.n_outputs):
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 *             total_sum_right += sum_right[k]
 * 
 */
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 *         for k in range(self.n_outputs):
 *             total_sum_left += sum_left[k]
 *             total_sum_right += sum_right[k]             # <<<<<<<<<<<<<<
 * 
 *         diff = (self.weighted_n_right * total_sum_left -
 */
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 *             total_sum_right += sum_right[k]
 * 
 *         diff = (self.weighted_n_right * total_sum_left -             # <<<<<<<<<<<<<<
 *                 self.weighted_n_left * total_sum_right)
 * 
 */
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 * 
 *         return diff * diff / (self.weighted_n_left * self.weighted_n_right)             # <<<<<<<<<<<<<<
 * 
 *     cdef double impurity_improvement(self, double impurity) nogil:
 */
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  /* "sklearn/tree/_criterion.pyx":1274
 *     """
 * 
 *     cdef double proxy_impurity_improvement(self) nogil:             # <<<<<<<<<<<<<<
 *         """Compute a proxy of the impurity reduction
 * 
 */

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/* "sklearn/tree/_criterion.pyx":1304
 *         return diff * diff / (self.weighted_n_left * self.weighted_n_right)
 * 
 *     cdef double impurity_improvement(self, double impurity) nogil:             # <<<<<<<<<<<<<<
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 */

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 * 
 *     cdef double impurity_improvement(self, double impurity) nogil:
 *         cdef double* sum_left = self.sum_left             # <<<<<<<<<<<<<<
 *         cdef double* sum_right = self.sum_right
 * 
 */
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  /* "sklearn/tree/_criterion.pyx":1306
 *     cdef double impurity_improvement(self, double impurity) nogil:
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 *         cdef double* sum_right = self.sum_right             # <<<<<<<<<<<<<<
 * 
 *         cdef double total_sum_left = 0.0
 */
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 *         cdef double* sum_right = self.sum_right
 * 
 *         cdef double total_sum_left = 0.0             # <<<<<<<<<<<<<<
 *         cdef double total_sum_right = 0.0
 * 
 */
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  /* "sklearn/tree/_criterion.pyx":1309
 * 
 *         cdef double total_sum_left = 0.0
 *         cdef double total_sum_right = 0.0             # <<<<<<<<<<<<<<
 * 
 *         cdef SIZE_t k
 */
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  /* "sklearn/tree/_criterion.pyx":1312
 * 
 *         cdef SIZE_t k
 *         cdef double diff = 0.0             # <<<<<<<<<<<<<<
 * 
 *         for k in range(self.n_outputs):
 */
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  /* "sklearn/tree/_criterion.pyx":1314
 *         cdef double diff = 0.0
 * 
 *         for k in range(self.n_outputs):             # <<<<<<<<<<<<<<
 *             total_sum_left += sum_left[k]
 *             total_sum_right += sum_right[k]
 */
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    /* "sklearn/tree/_criterion.pyx":1315
 * 
 *         for k in range(self.n_outputs):
 *             total_sum_left += sum_left[k]             # <<<<<<<<<<<<<<
 *             total_sum_right += sum_right[k]
 * 
 */
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    /* "sklearn/tree/_criterion.pyx":1316
 *         for k in range(self.n_outputs):
 *             total_sum_left += sum_left[k]
 *             total_sum_right += sum_right[k]             # <<<<<<<<<<<<<<
 * 
 *         diff = (self.weighted_n_right * total_sum_left -
 */
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 * 
 *         diff = (self.weighted_n_right * total_sum_left -
 *                 self.weighted_n_left * total_sum_right) / self.n_outputs             # <<<<<<<<<<<<<<
 * 
 *         return (diff * diff / (self.weighted_n_left * self.weighted_n_right *
 */
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 *                 self.weighted_n_left * total_sum_right) / self.n_outputs
 * 
 *         return (diff * diff / (self.weighted_n_left * self.weighted_n_right *             # <<<<<<<<<<<<<<
 *                                self.weighted_n_node_samples))
 */
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 *         return diff * diff / (self.weighted_n_left * self.weighted_n_right)
 * 
 *     cdef double impurity_improvement(self, double impurity) nogil:             # <<<<<<<<<<<<<<
 *         cdef double* sum_left = self.sum_left
 *         cdef double* sum_right = self.sum_right
 */

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  return o;
}

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  "Abstract regression criterion.\n\n    This handles cases where the target is a continuous value, and is\n    evaluated by computing the variance of the target values left and right\n    of the split point. The computation takes linear time with `n_samples`\n    by using ::\n\n        var = \\sum_i^n (y_i - y_bar) ** 2\n            = (\\sum_i^n y_i ** 2) - n_samples * y_bar ** 2\n    ", /*tp_doc*/
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static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_MSE __pyx_vtable_7sklearn_4tree_10_criterion_MSE;

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  if (unlikely(!o)) return 0;
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  p->__pyx_base.__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion*)__pyx_vtabptr_7sklearn_4tree_10_criterion_MAE;
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                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;
}

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

/* BufferFormatCheck */
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
  unsigned int n = 1;
  return *(unsigned char*)(&n) != 0;
}
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
                              __Pyx_BufFmt_StackElem* stack,
                              __Pyx_TypeInfo* type) {
  stack[0].field = &ctx->root;
  stack[0].parent_offset = 0;
  ctx->root.type = type;
  ctx->root.name = "buffer dtype";
  ctx->root.offset = 0;
  ctx->head = stack;
  ctx->head->field = &ctx->root;
  ctx->fmt_offset = 0;
  ctx->head->parent_offset = 0;
  ctx->new_packmode = '@';
  ctx->enc_packmode = '@';
  ctx->new_count = 1;
  ctx->enc_count = 0;
  ctx->enc_type = 0;
  ctx->is_complex = 0;
  ctx->is_valid_array = 0;
  ctx->struct_alignment = 0;
  while (type->typegroup == 'S') {
    ++ctx->head;
    ctx->head->field = type->fields;
    ctx->head->parent_offset = 0;
    type = type->fields->type;
  }
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
    int count;
    const char* t = *ts;
    if (*t < '0' || *t > '9') {
      return -1;
    } else {
        count = *t++ - '0';
        while (*t >= '0' && *t < '9') {
            count *= 10;
            count += *t++ - '0';
        }
    }
    *ts = t;
    return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
    int number = __Pyx_BufFmt_ParseNumber(ts);
    if (number == -1)
        PyErr_Format(PyExc_ValueError,\
                     "Does not understand character buffer dtype format string ('%c')", **ts);
    return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
  PyErr_Format(PyExc_ValueError,
               "Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
  switch (ch) {
    case 'c': return "'char'";
    case 'b': return "'signed char'";
    case 'B': return "'unsigned char'";
    case 'h': return "'short'";
    case 'H': return "'unsigned short'";
    case 'i': return "'int'";
    case 'I': return "'unsigned int'";
    case 'l': return "'long'";
    case 'L': return "'unsigned long'";
    case 'q': return "'long long'";
    case 'Q': return "'unsigned long long'";
    case 'f': return (is_complex ? "'complex float'" : "'float'");
    case 'd': return (is_complex ? "'complex double'" : "'double'");
    case 'g': return (is_complex ? "'complex long double'" : "'long double'");
    case 'T': return "a struct";
    case 'O': return "Python object";
    case 'P': return "a pointer";
    case 's': case 'p': return "a string";
    case 0: return "end";
    default: return "unparseable format string";
  }
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
  switch (ch) {
    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return 2;
    case 'i': case 'I': case 'l': case 'L': return 4;
    case 'q': case 'Q': return 8;
    case 'f': return (is_complex ? 8 : 4);
    case 'd': return (is_complex ? 16 : 8);
    case 'g': {
      PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
      return 0;
    }
    case 'O': case 'P': return sizeof(void*);
    default:
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
  switch (ch) {
    case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return sizeof(short);
    case 'i': case 'I': return sizeof(int);
    case 'l': case 'L': return sizeof(long);
    #ifdef HAVE_LONG_LONG
    case 'q': case 'Q': return sizeof(PY_LONG_LONG);
    #endif
    case 'f': return sizeof(float) * (is_complex ? 2 : 1);
    case 'd': return sizeof(double) * (is_complex ? 2 : 1);
    case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
    case 'O': case 'P': return sizeof(void*);
    default: {
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
  }
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
  switch (ch) {
    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
    case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
    case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
    case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
    case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
    case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
    case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
    case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
    default:
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
}
/* These are for computing the padding at the end of the struct to align
   on the first member of the struct. This will probably the same as above,
   but we don't have any guarantees.
 */
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
  switch (ch) {
    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
    case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
    case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
    case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
    case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
    case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
    case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
    case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
    default:
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
  switch (ch) {
    case 'c':
        return 'H';
    case 'b': case 'h': case 'i':
    case 'l': case 'q': case 's': case 'p':
        return 'I';
    case 'B': case 'H': case 'I': case 'L': case 'Q':
        return 'U';
    case 'f': case 'd': case 'g':
        return (is_complex ? 'C' : 'R');
    case 'O':
        return 'O';
    case 'P':
        return 'P';
    default: {
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
  }
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
  if (ctx->head == NULL || ctx->head->field == &ctx->root) {
    const char* expected;
    const char* quote;
    if (ctx->head == NULL) {
      expected = "end";
      quote = "";
    } else {
      expected = ctx->head->field->type->name;
      quote = "'";
    }
    PyErr_Format(PyExc_ValueError,
                 "Buffer dtype mismatch, expected %s%s%s but got %s",
                 quote, expected, quote,
                 __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
  } else {
    __Pyx_StructField* field = ctx->head->field;
    __Pyx_StructField* parent = (ctx->head - 1)->field;
    PyErr_Format(PyExc_ValueError,
                 "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
                 field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
                 parent->type->name, field->name);
  }
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
  char group;
  size_t size, offset, arraysize = 1;
  if (ctx->enc_type == 0) return 0;
  if (ctx->head->field->type->arraysize[0]) {
    int i, ndim = 0;
    if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
        ctx->is_valid_array = ctx->head->field->type->ndim == 1;
        ndim = 1;
        if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
            PyErr_Format(PyExc_ValueError,
                         "Expected a dimension of size %zu, got %zu",
                         ctx->head->field->type->arraysize[0], ctx->enc_count);
            return -1;
        }
    }
    if (!ctx->is_valid_array) {
      PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
                   ctx->head->field->type->ndim, ndim);
      return -1;
    }
    for (i = 0; i < ctx->head->field->type->ndim; i++) {
      arraysize *= ctx->head->field->type->arraysize[i];
    }
    ctx->is_valid_array = 0;
    ctx->enc_count = 1;
  }
  group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
  do {
    __Pyx_StructField* field = ctx->head->field;
    __Pyx_TypeInfo* type = field->type;
    if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
      size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
    } else {
      size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
    }
    if (ctx->enc_packmode == '@') {
      size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
      size_t align_mod_offset;
      if (align_at == 0) return -1;
      align_mod_offset = ctx->fmt_offset % align_at;
      if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
      if (ctx->struct_alignment == 0)
          ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
                                                                 ctx->is_complex);
    }
    if (type->size != size || type->typegroup != group) {
      if (type->typegroup == 'C' && type->fields != NULL) {
        size_t parent_offset = ctx->head->parent_offset + field->offset;
        ++ctx->head;
        ctx->head->field = type->fields;
        ctx->head->parent_offset = parent_offset;
        continue;
      }
      if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
      } else {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return -1;
      }
    }
    offset = ctx->head->parent_offset + field->offset;
    if (ctx->fmt_offset != offset) {
      PyErr_Format(PyExc_ValueError,
                   "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
                   (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
      return -1;
    }
    ctx->fmt_offset += size;
    if (arraysize)
      ctx->fmt_offset += (arraysize - 1) * size;
    --ctx->enc_count;
    while (1) {
      if (field == &ctx->root) {
        ctx->head = NULL;
        if (ctx->enc_count != 0) {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return -1;
        }
        break;
      }
      ctx->head->field = ++field;
      if (field->type == NULL) {
        --ctx->head;
        field = ctx->head->field;
        continue;
      } else if (field->type->typegroup == 'S') {
        size_t parent_offset = ctx->head->parent_offset + field->offset;
        if (field->type->fields->type == NULL) continue;
        field = field->type->fields;
        ++ctx->head;
        ctx->head->field = field;
        ctx->head->parent_offset = parent_offset;
        break;
      } else {
        break;
      }
    }
  } while (ctx->enc_count);
  ctx->enc_type = 0;
  ctx->is_complex = 0;
  return 0;
}
static CYTHON_INLINE PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
    const char *ts = *tsp;
    int i = 0, number;
    int ndim = ctx->head->field->type->ndim;
;
    ++ts;
    if (ctx->new_count != 1) {
        PyErr_SetString(PyExc_ValueError,
                        "Cannot handle repeated arrays in format string");
        return NULL;
    }
    if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
    while (*ts && *ts != ')') {
        switch (*ts) {
            case ' ': case '\f': case '\r': case '\n': case '\t': case '\v':  continue;
            default:  break;
        }
        number = __Pyx_BufFmt_ExpectNumber(&ts);
        if (number == -1) return NULL;
        if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
            return PyErr_Format(PyExc_ValueError,
                        "Expected a dimension of size %zu, got %d",
                        ctx->head->field->type->arraysize[i], number);
        if (*ts != ',' && *ts != ')')
            return PyErr_Format(PyExc_ValueError,
                                "Expected a comma in format string, got '%c'", *ts);
        if (*ts == ',') ts++;
        i++;
    }
    if (i != ndim)
        return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
                            ctx->head->field->type->ndim, i);
    if (!*ts) {
        PyErr_SetString(PyExc_ValueError,
                        "Unexpected end of format string, expected ')'");
        return NULL;
    }
    ctx->is_valid_array = 1;
    ctx->new_count = 1;
    *tsp = ++ts;
    return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
  int got_Z = 0;
  while (1) {
    switch(*ts) {
      case 0:
        if (ctx->enc_type != 0 && ctx->head == NULL) {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return NULL;
        }
        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
        if (ctx->head != NULL) {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return NULL;
        }
        return ts;
      case ' ':
      case '\r':
      case '\n':
        ++ts;
        break;
      case '<':
        if (!__Pyx_IsLittleEndian()) {
          PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
          return NULL;
        }
        ctx->new_packmode = '=';
        ++ts;
        break;
      case '>':
      case '!':
        if (__Pyx_IsLittleEndian()) {
          PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
          return NULL;
        }
        ctx->new_packmode = '=';
        ++ts;
        break;
      case '=':
      case '@':
      case '^':
        ctx->new_packmode = *ts++;
        break;
      case 'T':
        {
          const char* ts_after_sub;
          size_t i, struct_count = ctx->new_count;
          size_t struct_alignment = ctx->struct_alignment;
          ctx->new_count = 1;
          ++ts;
          if (*ts != '{') {
            PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
            return NULL;
          }
          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
          ctx->enc_type = 0;
          ctx->enc_count = 0;
          ctx->struct_alignment = 0;
          ++ts;
          ts_after_sub = ts;
          for (i = 0; i != struct_count; ++i) {
            ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
            if (!ts_after_sub) return NULL;
          }
          ts = ts_after_sub;
          if (struct_alignment) ctx->struct_alignment = struct_alignment;
        }
        break;
      case '}':
        {
          size_t alignment = ctx->struct_alignment;
          ++ts;
          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
          ctx->enc_type = 0;
          if (alignment && ctx->fmt_offset % alignment) {
            ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
          }
        }
        return ts;
      case 'x':
        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
        ctx->fmt_offset += ctx->new_count;
        ctx->new_count = 1;
        ctx->enc_count = 0;
        ctx->enc_type = 0;
        ctx->enc_packmode = ctx->new_packmode;
        ++ts;
        break;
      case 'Z':
        got_Z = 1;
        ++ts;
        if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
          __Pyx_BufFmt_RaiseUnexpectedChar('Z');
          return NULL;
        }
      case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
      case 'l': case 'L': case 'q': case 'Q':
      case 'f': case 'd': case 'g':
      case 'O': case 'p':
        if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
            ctx->enc_packmode == ctx->new_packmode) {
          ctx->enc_count += ctx->new_count;
          ctx->new_count = 1;
          got_Z = 0;
          ++ts;
          break;
        }
      case 's':
        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
        ctx->enc_count = ctx->new_count;
        ctx->enc_packmode = ctx->new_packmode;
        ctx->enc_type = *ts;
        ctx->is_complex = got_Z;
        ++ts;
        ctx->new_count = 1;
        got_Z = 0;
        break;
      case ':':
        ++ts;
        while(*ts != ':') ++ts;
        ++ts;
        break;
      case '(':
        if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
        break;
      default:
        {
          int number = __Pyx_BufFmt_ExpectNumber(&ts);
          if (number == -1) return NULL;
          ctx->new_count = (size_t)number;
        }
    }
  }
}
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
  buf->buf = NULL;
  buf->obj = NULL;
  buf->strides = __Pyx_zeros;
  buf->shape = __Pyx_zeros;
  buf->suboffsets = __Pyx_minusones;
}
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
        Py_buffer* buf, PyObject* obj,  __Pyx_TypeInfo* dtype, int flags,
        int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
  if (obj == Py_None || obj == NULL) {
    __Pyx_ZeroBuffer(buf);
    return 0;
  }
  buf->buf = NULL;
  if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
  if (buf->ndim != nd) {
    PyErr_Format(PyExc_ValueError,
                 "Buffer has wrong number of dimensions (expected %d, got %d)",
                 nd, buf->ndim);
    goto fail;
  }
  if (!cast) {
    __Pyx_BufFmt_Context ctx;
    __Pyx_BufFmt_Init(&ctx, stack, dtype);
    if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
  }
  if ((unsigned)buf->itemsize != dtype->size) {
    PyErr_Format(PyExc_ValueError,
      "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
      buf->itemsize, (buf->itemsize > 1) ? "s" : "",
      dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
    goto fail;
  }
  if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
  return 0;
fail:;
  __Pyx_ZeroBuffer(buf);
  return -1;
}
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
  if (info->buf == NULL) return;
  if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
  __Pyx_ReleaseBuffer(info);
}

/* PyErrFetchRestore */
  #if CYTHON_COMPILING_IN_CPYTHON
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

/* 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");
    }
    return result;
}
#endif

/* PyObjectCallOneArg */
  #if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_New(1);
    if (unlikely(!args)) return NULL;
    Py_INCREF(arg);
    PyTuple_SET_ITEM(args, 0, arg);
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#ifdef __Pyx_CyFunction_USED
    if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
#else
    if (likely(PyCFunction_Check(func))) {
#endif
        if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
            return __Pyx_PyObject_CallMethO(func, arg);
        }
    }
    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

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

/* GetModuleGlobalName */
      static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
    PyObject *result;
#if CYTHON_COMPILING_IN_CPYTHON
    result = PyDict_GetItem(__pyx_d, name);
    if (likely(result)) {
        Py_INCREF(result);
    } else {
#else
    result = PyObject_GetItem(__pyx_d, name);
    if (!result) {
        PyErr_Clear();
#endif
        result = __Pyx_GetBuiltinName(name);
    }
    return result;
}

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

/* SetItemInt */
        static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) {
    int r;
    if (!j) return -1;
    r = PyObject_SetItem(o, j, v);
    Py_DECREF(j);
    return r;
}
static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list,
                                               CYTHON_NCP_UNUSED int wraparound, CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
    if (is_list || PyList_CheckExact(o)) {
        Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o));
        if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) {
            PyObject* old = PyList_GET_ITEM(o, n);
            Py_INCREF(v);
            PyList_SET_ITEM(o, n, v);
            Py_DECREF(old);
            return 1;
        }
    } else {
        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
        if (likely(m && m->sq_ass_item)) {
            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
                Py_ssize_t l = m->sq_length(o);
                if (likely(l >= 0)) {
                    i += l;
                } else {
                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                        return -1;
                    PyErr_Clear();
                }
            }
            return m->sq_ass_item(o, i, v);
        }
    }
#else
#if CYTHON_COMPILING_IN_PYPY
    if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) {
#else
    if (is_list || PySequence_Check(o)) {
#endif
        return PySequence_SetItem(o, i, v);
    }
#endif
    return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v);
}

/* 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 PY_VERSION_HEX >= 0x03030000
    if (cause) {
#else
    if (cause && cause != Py_None) {
#endif
        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 = PyThreadState_GET();
        PyObject* tmp_tb = tstate->curexc_traceback;
        if (tb != tmp_tb) {
            Py_INCREF(tb);
            tstate->curexc_traceback = tb;
            Py_XDECREF(tmp_tb);
        }
#endif
    }
bad:
    Py_XDECREF(owned_instance);
    return;
}
#endif

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

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

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

/* CallNextTpTraverse */
            static int __Pyx_call_next_tp_traverse(PyObject* obj, visitproc v, void *a, traverseproc current_tp_traverse) {
    PyTypeObject* type = Py_TYPE(obj);
    while (type && type->tp_traverse != current_tp_traverse)
        type = type->tp_base;
    while (type && type->tp_traverse == current_tp_traverse)
        type = type->tp_base;
    if (type && type->tp_traverse)
        return type->tp_traverse(obj, v, a);
    return 0;
}

/* CallNextTpClear */
            static void __Pyx_call_next_tp_clear(PyObject* obj, inquiry current_tp_clear) {
    PyTypeObject* type = Py_TYPE(obj);
    while (type && type->tp_clear != current_tp_clear)
        type = type->tp_base;
    while (type && type->tp_clear == current_tp_clear)
        type = type->tp_base;
    if (type && type->tp_clear)
        type->tp_clear(obj);
}

/* SetVTable */
            static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
    PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
    PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
    if (!ob)
        goto bad;
    if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
        goto bad;
    Py_DECREF(ob);
    return 0;
bad:
    Py_XDECREF(ob);
    return -1;
}

/* 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_VERSION_HEX < 0x03030000
    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, '.')) {
                #if PY_VERSION_HEX < 0x03030000
                PyObject *py_level = PyInt_FromLong(1);
                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, 1);
                #endif
                if (!module) {
                    if (!PyErr_ExceptionMatches(PyExc_ImportError))
                        goto bad;
                    PyErr_Clear();
                }
            }
            level = 0;
        }
        #endif
        if (!module) {
            #if PY_VERSION_HEX < 0x03030000
            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_VERSION_HEX < 0x03030000
    Py_XDECREF(py_import);
    #endif
    Py_XDECREF(empty_list);
    Py_XDECREF(empty_dict);
    return module;
}

/* 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;
    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(
        PyThreadState_GET(), /*PyThreadState *tstate,*/
        py_code,             /*PyCodeObject *code,*/
        __pyx_d,      /*PyObject *globals,*/
        0                    /*PyObject *locals*/
    );
    if (!py_frame) goto bad;
    py_frame->f_lineno = py_line;
    PyTraceBack_Here(py_frame);
bad:
    Py_XDECREF(py_code);
    Py_XDECREF(py_frame);
}

#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
    if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
        if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
    PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
    return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
    PyObject *obj = view->obj;
    if (!obj) return;
    if (PyObject_CheckBuffer(obj)) {
        PyBuffer_Release(view);
        return;
    }
        if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; }
    Py_DECREF(obj);
    view->obj = NULL;
}
#endif


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

/* None */
            #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

/* None */
            #if CYTHON_CCOMPLEX
#else
    static CYTHON_INLINE int __Pyx_c_eqf(__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_sumf(__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_difff(__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_prodf(__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;
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        float denom = b.real * b.real + b.imag * b.imag;
        z.real = (a.real * b.real + a.imag * b.imag) / denom;
        z.imag = (a.imag * b.real - a.real * b.imag) / denom;
        return z;
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__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_zerof(__pyx_t_float_complex a) {
       return (a.real == 0) && (a.imag == 0);
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__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_absf(__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_powf(__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_prodf(a, a);
                        return __Pyx_c_prodf(a, a);
                    case 3:
                        z = __Pyx_c_prodf(a, a);
                        return __Pyx_c_prodf(z, a);
                    case 4:
                        z = __Pyx_c_prodf(a, a);
                        return __Pyx_c_prodf(z, z);
                }
            }
            if (a.imag == 0) {
                if (a.real == 0) {
                    return a;
                }
                r = a.real;
                theta = 0;
            } else {
                r = __Pyx_c_absf(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

/* None */
            #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

/* None */
            #if CYTHON_CCOMPLEX
#else
    static CYTHON_INLINE int __Pyx_c_eq(__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(__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(__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(__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;
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        double denom = b.real * b.real + b.imag * b.imag;
        z.real = (a.real * b.real + a.imag * b.imag) / denom;
        z.imag = (a.imag * b.real - a.real * b.imag) / denom;
        return z;
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__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(__pyx_t_double_complex a) {
       return (a.real == 0) && (a.imag == 0);
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__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(__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(__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(a, a);
                        return __Pyx_c_prod(a, a);
                    case 3:
                        z = __Pyx_c_prod(a, a);
                        return __Pyx_c_prod(z, a);
                    case 4:
                        z = __Pyx_c_prod(a, a);
                        return __Pyx_c_prod(z, z);
                }
            }
            if (a.imag == 0) {
                if (a.real == 0) {
                    return a;
                }
                r = a.real;
                theta = 0;
            } else {
                r = __Pyx_c_abs(a);
                theta = atan2(a.imag, a.real);
            }
            lnr = log(r);
            z_r = exp(lnr * b.real - theta * b.imag);
            z_theta = theta * b.real + lnr * b.imag;
            z.real = z_r * cos(z_theta);
            z.imag = z_r * sin(z_theta);
            return z;
        }
    #endif
#endif

/* CIntToPy */
            static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
    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);
        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
        }
    } else {
        if (sizeof(int) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
        }
    }
    {
        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_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);
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
        }
    } else {
        if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
                                     little, !is_unsigned);
    }
}

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

/* 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))
            } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
            }
        } 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))
            } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
            }
        }
        {
#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))
            } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
            }
        } 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))
            } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
            }
        }
        {
#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;
}

/* 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;
        ++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 char* __Pyx_PyObject_AsString(PyObject* o) {
    Py_ssize_t ignore;
    return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if CYTHON_COMPILING_IN_CPYTHON && (__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)) {
#if PY_VERSION_HEX < 0x03030000
        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
        if (__Pyx_PyUnicode_READY(o) == -1) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
        if (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
    } else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
    if (PyByteArray_Check(o)) {
        *length = PyByteArray_GET_SIZE(o);
        return PyByteArray_AS_STRING(o);
    } else
#endif
    {
        char* result;
        int r = PyBytes_AsStringAndSize(o, &result, length);
        if (unlikely(r < 0)) {
            return NULL;
        } else {
            return result;
        }
    }
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
   int is_true = x == Py_True;
   if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
   else return PyObject_IsTrue(x);
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
  PyNumberMethods *m;
  const char *name = NULL;
  PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
  if (PyInt_Check(x) || PyLong_Check(x))
#else
  if (PyLong_Check(x))
#endif
    return __Pyx_NewRef(x);
  m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
  if (m && m->nb_int) {
    name = "int";
    res = PyNumber_Int(x);
  }
  else if (m && m->nb_long) {
    name = "long";
    res = PyNumber_Long(x);
  }
#else
  if (m && m->nb_int) {
    name = "int";
    res = PyNumber_Long(x);
  }
#endif
  if (res) {
#if PY_MAJOR_VERSION < 3
    if (!PyInt_Check(res) && !PyLong_Check(res)) {
#else
    if (!PyLong_Check(res)) {
#endif
      PyErr_Format(PyExc_TypeError,
                   "__%.4s__ returned non-%.4s (type %.200s)",
                   name, name, Py_TYPE(res)->tp_name);
      Py_DECREF(res);
      return NULL;
    }
  }
  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 */
