/* 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
  #endif
#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
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#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
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#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
  #define CYTHON_PEP393_ENABLED 1
  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
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  #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__neighbors__kd_tree
#define __PYX_HAVE_API__sklearn__neighbors__kd_tree
#include "string.h"
#include "stdio.h"
#include "stdlib.h"
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include "math.h"
#include "pythread.h"
#include "pystate.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[] = {
  "sklearn/neighbors/binary_tree.pxi",
  "sklearn/neighbors/kd_tree.pyx",
  "__init__.pxd",
  "stringsource",
  "type.pxd",
  "sklearn/neighbors/dist_metrics.pxd",
};
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
  const char* name;
  struct __Pyx_StructField_* fields;
  size_t size;
  size_t arraysize[8];
  int ndim;
  char typegroup;
  char is_unsigned;
  int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
  __Pyx_TypeInfo* type;
  const char* name;
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} __Pyx_StructField;
typedef struct {
  __Pyx_StructField* field;
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} __Pyx_BufFmt_StackElem;
typedef struct {
  __Pyx_StructField root;
  __Pyx_BufFmt_StackElem* head;
  size_t fmt_offset;
  size_t new_count, enc_count;
  size_t struct_alignment;
  int is_complex;
  char enc_type;
  char new_packmode;
  char enc_packmode;
  char is_valid_array;
} __Pyx_BufFmt_Context;

/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
  struct __pyx_memoryview_obj *memview;
  char *data;
  Py_ssize_t shape[8];
  Py_ssize_t strides[8];
  Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;

/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
    #define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
                    (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
                    !defined(__i386__)
    #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
    #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
    #ifdef __PYX_DEBUG_ATOMICS
        #warning "Using GNU atomics"
    #endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
    #include <Windows.h>
    #undef __pyx_atomic_int_type
    #define __pyx_atomic_int_type LONG
    #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
    #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
    #ifdef __PYX_DEBUG_ATOMICS
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    #ifdef __PYX_DEBUG_ATOMICS
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    #undef CYTHON_ATOMICS
    #define CYTHON_ATOMICS 0
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typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
#if CYTHON_ATOMICS
    #define __pyx_add_acquisition_count(memview)\
             __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
    #define __pyx_sub_acquisition_count(memview)\
            __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#else
    #define __pyx_add_acquisition_count(memview)\
            __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
    #define __pyx_sub_acquisition_count(memview)\
            __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#endif


/* "../../../../../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;

/* "typedefs.pxd":5
 * 
 * # Floating point/data type
 * ctypedef np.float64_t DTYPE_t  # WARNING: should match DTYPE in typedefs.pyx             # <<<<<<<<<<<<<<
 * 
 * cdef enum:
 */
typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t;

/* "typedefs.pxd":13
 * # Index/integer type.
 * #  WARNING: ITYPE_t must be a signed integer type or you will have a bad time!
 * ctypedef np.intp_t ITYPE_t  # WARNING: should match ITYPE in typedefs.pyx             # <<<<<<<<<<<<<<
 * 
 * # Fused type for certain operations
 */
typedef __pyx_t_5numpy_intp_t __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t;
/* None.proto */
#if CYTHON_CCOMPLEX
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  #endif
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    typedef struct { float real, imag; } __pyx_t_float_complex;
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/* 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_9neighbors_12dist_metrics_DistanceMetric;
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap;
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap;
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree;
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_KDTree;
struct __pyx_array_obj;
struct __pyx_MemviewEnum_obj;
struct __pyx_memoryview_obj;
struct __pyx_memoryviewslice_obj;

/* "../../../../../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;

/* "typedefs.pxd":7
 * ctypedef np.float64_t DTYPE_t  # WARNING: should match DTYPE in typedefs.pyx
 * 
 * cdef enum:             # <<<<<<<<<<<<<<
 *     DTYPECODE = np.NPY_FLOAT64
 *     ITYPECODE = np.NPY_INTP
 */
enum  {

  /* "typedefs.pxd":9
 * cdef enum:
 *     DTYPECODE = np.NPY_FLOAT64
 *     ITYPECODE = np.NPY_INTP             # <<<<<<<<<<<<<<
 * 
 * # Index/integer type.
 */
  __pyx_e_7sklearn_9neighbors_8typedefs_DTYPECODE = NPY_FLOAT64,
  __pyx_e_7sklearn_9neighbors_8typedefs_ITYPECODE = NPY_INTP
};
struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t;
struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t;

/* "sklearn/neighbors/binary_tree.pxi":384
 * #       for all valid d and h.  Note that for precision, the log of both
 * #       the kernel and kernel norm is returned.
 * cdef enum KernelType:             # <<<<<<<<<<<<<<
 *     GAUSSIAN_KERNEL = 1
 *     TOPHAT_KERNEL = 2
 */
enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType {
  __pyx_e_7sklearn_9neighbors_7kd_tree_GAUSSIAN_KERNEL = 1,
  __pyx_e_7sklearn_9neighbors_7kd_tree_TOPHAT_KERNEL = 2,
  __pyx_e_7sklearn_9neighbors_7kd_tree_EPANECHNIKOV_KERNEL = 3,
  __pyx_e_7sklearn_9neighbors_7kd_tree_EXPONENTIAL_KERNEL = 4,
  __pyx_e_7sklearn_9neighbors_7kd_tree_LINEAR_KERNEL = 5,
  __pyx_e_7sklearn_9neighbors_7kd_tree_COSINE_KERNEL = 6
};

/* "sklearn/neighbors/binary_tree.pxi":169
 * 
 * # Some compound datatypes used below:
 * cdef struct NodeHeapData_t:             # <<<<<<<<<<<<<<
 *     DTYPE_t val
 *     ITYPE_t i1
 */
struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t {
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t val;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t i1;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t i2;
};

/* "sklearn/neighbors/binary_tree.pxi":188
 *                          'itemsize': sizeof(NodeHeapData_t)})
 * 
 * cdef struct NodeData_t:             # <<<<<<<<<<<<<<
 *     ITYPE_t idx_start
 *     ITYPE_t idx_end
 */
struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t {
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t idx_start;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t idx_end;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t is_leaf;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t radius;
};

/* "dist_metrics.pxd":48
 * ######################################################################
 * # DistanceMetric base class
 * cdef class DistanceMetric:             # <<<<<<<<<<<<<<
 *     # The following attributes are required for a few of the subclasses.
 *     # we must define them here so that cython's limited polymorphism will work.
 */
struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_9neighbors_12dist_metrics_DistanceMetric *__pyx_vtab;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t p;
  PyArrayObject *vec;
  PyArrayObject *mat;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *vec_ptr;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *mat_ptr;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t size;
  PyObject *func;
  PyObject *kwargs;
};


/* "sklearn/neighbors/binary_tree.pxi":559
 * 
 * 
 * cdef class NeighborsHeap:             # <<<<<<<<<<<<<<
 *     """A max-heap structure to keep track of distances/indices of neighbors
 * 
 */
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_vtab;
  PyArrayObject *distances_arr;
  PyArrayObject *indices_arr;
  __Pyx_memviewslice distances;
  __Pyx_memviewslice indices;
};


/* "sklearn/neighbors/binary_tree.pxi":863
 * 
 * 
 * cdef class NodeHeap:             # <<<<<<<<<<<<<<
 *     """NodeHeap
 * 
 */
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_vtab;
  PyArrayObject *data_arr;
  __Pyx_memviewslice data;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t n;
};


/* "sklearn/neighbors/binary_tree.pxi":1001
 * ######################################################################
 * # Binary Tree class
 * cdef class BinaryTree:             # <<<<<<<<<<<<<<
 * 
 *     cdef np.ndarray data_arr
 */
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree {
  PyObject_HEAD
  struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_vtab;
  PyArrayObject *data_arr;
  PyArrayObject *idx_array_arr;
  PyArrayObject *node_data_arr;
  PyArrayObject *node_bounds_arr;
  __Pyx_memviewslice data;
  __Pyx_memviewslice idx_array;
  __Pyx_memviewslice node_data;
  __Pyx_memviewslice node_bounds;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t leaf_size;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t n_levels;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t n_nodes;
  struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *dist_metric;
  int euclidean;
  int n_trims;
  int n_leaves;
  int n_splits;
  int n_calls;
};


/* "sklearn/neighbors/kd_tree.pyx":21
 * include "binary_tree.pxi"
 * 
 * cdef class KDTree(BinaryTree):             # <<<<<<<<<<<<<<
 *     __doc__ = CLASS_DOC.format(**DOC_DICT)
 *     pass
 */
struct __pyx_obj_7sklearn_9neighbors_7kd_tree_KDTree {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree __pyx_base;
};


/* "View.MemoryView":103
 * 
 * @cname("__pyx_array")
 * cdef class array:             # <<<<<<<<<<<<<<
 * 
 *     cdef:
 */
struct __pyx_array_obj {
  PyObject_HEAD
  struct __pyx_vtabstruct_array *__pyx_vtab;
  char *data;
  Py_ssize_t len;
  char *format;
  int ndim;
  Py_ssize_t *_shape;
  Py_ssize_t *_strides;
  Py_ssize_t itemsize;
  PyObject *mode;
  PyObject *_format;
  void (*callback_free_data)(void *);
  int free_data;
  int dtype_is_object;
};


/* "View.MemoryView":275
 * 
 * @cname('__pyx_MemviewEnum')
 * cdef class Enum(object):             # <<<<<<<<<<<<<<
 *     cdef object name
 *     def __init__(self, name):
 */
struct __pyx_MemviewEnum_obj {
  PyObject_HEAD
  PyObject *name;
};


/* "View.MemoryView":326
 * 
 * @cname('__pyx_memoryview')
 * cdef class memoryview(object):             # <<<<<<<<<<<<<<
 * 
 *     cdef object obj
 */
struct __pyx_memoryview_obj {
  PyObject_HEAD
  struct __pyx_vtabstruct_memoryview *__pyx_vtab;
  PyObject *obj;
  PyObject *_size;
  PyObject *_array_interface;
  PyThread_type_lock lock;
  __pyx_atomic_int acquisition_count[2];
  __pyx_atomic_int *acquisition_count_aligned_p;
  Py_buffer view;
  int flags;
  int dtype_is_object;
  __Pyx_TypeInfo *typeinfo;
};


/* "View.MemoryView":951
 * 
 * @cname('__pyx_memoryviewslice')
 * cdef class _memoryviewslice(memoryview):             # <<<<<<<<<<<<<<
 *     "Internal class for passing memoryview slices to Python"
 * 
 */
struct __pyx_memoryviewslice_obj {
  struct __pyx_memoryview_obj __pyx_base;
  __Pyx_memviewslice from_slice;
  PyObject *from_object;
  PyObject *(*to_object_func)(char *);
  int (*to_dtype_func)(char *, PyObject *);
};



/* "dist_metrics.pxd":48
 * ######################################################################
 * # DistanceMetric base class
 * cdef class DistanceMetric:             # <<<<<<<<<<<<<<
 *     # The following attributes are required for a few of the subclasses.
 *     # we must define them here so that cython's limited polymorphism will work.
 */

struct __pyx_vtabstruct_7sklearn_9neighbors_12dist_metrics_DistanceMetric {
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*dist)(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*rdist)(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*pdist)(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *, __Pyx_memviewslice, __Pyx_memviewslice);
  int (*cdist)(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *, __Pyx_memviewslice, __Pyx_memviewslice, __Pyx_memviewslice);
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*_rdist_to_dist)(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t);
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*_dist_to_rdist)(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t);
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_12dist_metrics_DistanceMetric *__pyx_vtabptr_7sklearn_9neighbors_12dist_metrics_DistanceMetric;


/* "sklearn/neighbors/binary_tree.pxi":559
 * 
 * 
 * cdef class NeighborsHeap:             # <<<<<<<<<<<<<<
 *     """A max-heap structure to keep track of distances/indices of neighbors
 * 
 */

struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NeighborsHeap {
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*largest)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*_push)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*_sort)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *);
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_vtabptr_7sklearn_9neighbors_7kd_tree_NeighborsHeap;
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);


/* "sklearn/neighbors/binary_tree.pxi":863
 * 
 * 
 * cdef class NodeHeap:             # <<<<<<<<<<<<<<
 *     """NodeHeap
 * 
 */

struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap {
  int (*resize)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*push)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *, struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t);
  struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t (*peek)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *);
  struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t (*pop)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *);
  void (*clear)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *);
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_vtabptr_7sklearn_9neighbors_7kd_tree_NodeHeap;


/* "sklearn/neighbors/binary_tree.pxi":1001
 * ######################################################################
 * # Binary Tree class
 * cdef class BinaryTree:             # <<<<<<<<<<<<<<
 * 
 *     cdef np.ndarray data_arr
 */

struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree {
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*dist)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*rdist)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*_recursive_build)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*_query_single_depthfirst)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t);
  int (*_query_single_breadthfirst)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *);
  int (*_query_dual_depthfirst)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __Pyx_memviewslice, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t);
  int (*_query_dual_breadthfirst)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *);
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t (*_query_radius_single)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, int, int);
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t (*_kde_single_breadthfirst)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *);
  int (*_kde_single_depthfirst)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *);
  int (*_two_point_single)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
  int (*_two_point_dual)(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_vtabptr_7sklearn_9neighbors_7kd_tree_BinaryTree;
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_dist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_rdist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t);


/* "sklearn/neighbors/kd_tree.pyx":21
 * include "binary_tree.pxi"
 * 
 * cdef class KDTree(BinaryTree):             # <<<<<<<<<<<<<<
 *     __doc__ = CLASS_DOC.format(**DOC_DICT)
 *     pass
 */

struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_KDTree {
  struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_KDTree *__pyx_vtabptr_7sklearn_9neighbors_7kd_tree_KDTree;


/* "View.MemoryView":103
 * 
 * @cname("__pyx_array")
 * cdef class array:             # <<<<<<<<<<<<<<
 * 
 *     cdef:
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struct __pyx_vtabstruct_array {
  PyObject *(*get_memview)(struct __pyx_array_obj *);
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static struct __pyx_vtabstruct_array *__pyx_vtabptr_array;


/* "View.MemoryView":326
 * 
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 * 
 *     cdef object obj
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struct __pyx_vtabstruct_memoryview {
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  PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *);
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static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview;


/* "View.MemoryView":951
 * 
 * @cname('__pyx_memoryviewslice')
 * cdef class _memoryviewslice(memoryview):             # <<<<<<<<<<<<<<
 *     "Internal class for passing memoryview slices to Python"
 * 
 */

struct __pyx_vtabstruct__memoryviewslice {
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static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);

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

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

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

/* IncludeStringH.proto */
#include <string.h>

/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);

/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);

/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif

/* GetModuleGlobalName.proto */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);

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

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

/* KeywordStringCheck.proto */
static CYTHON_INLINE int __Pyx_CheckKeywordStrings(PyObject *kwdict, const char* function_name, int kw_allowed);

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

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

/* WriteUnraisableException.proto */
static void __Pyx_WriteUnraisable(const char *name, int clineno,
                                  int lineno, const char *filename,
                                  int full_traceback, int nogil);

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

/* IterFinish.proto */
static CYTHON_INLINE int __Pyx_IterFinish(void);

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

/* PyObjectCallMethod0.proto */
static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name);

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

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

/* UnpackItemEndCheck.proto */
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);

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

/* UnpackTupleError.proto */
static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index);

/* UnpackTuple2.proto */
static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** value1, PyObject** value2,
                                             int is_tuple, int has_known_size, int decref_tuple);

/* dict_iter.proto */
static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name,
                                                   Py_ssize_t* p_orig_length, int* p_is_dict);
static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos,
                                              PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict);

/* MergeKeywords.proto */
static int __Pyx_MergeKeywords(PyObject *kwdict, PyObject *source_mapping);

/* PyIntBinop.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
#else
#define __Pyx_PyInt_EqObjC(op1, op2, intval, inplace)\
    PyObject_RichCompare(op1, op2, Py_EQ)
    #endif

/* PyIntBinop.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace)\
    (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif

/* PyIntBinop.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
#else
#define __Pyx_PyInt_SubtractObjC(op1, op2, intval, inplace)\
    (inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2))
#endif

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

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

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

/* SliceObject.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
        PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
        PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
        int has_cstart, int has_cstop, int wraparound);

/* SetItemInt.proto */
#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck) :\
    (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\
               __Pyx_SetItemInt_Generic(o, to_py_func(i), v)))
static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v);
static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v,
                                               int is_list, int wraparound, int boundscheck);

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

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

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

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

/* ArgTypeTest.proto */
static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
    const char *name, int exact);

/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
        (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))

static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);

/* decode_c_string.proto */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
         const char* cstring, Py_ssize_t start, Py_ssize_t stop,
         const char* encoding, const char* errors,
         PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));

/* SwapException.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_ExceptionSwap(type, value, tb)  __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif

static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
/* ListCompAppend.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
    PyListObject* L = (PyListObject*) list;
    Py_ssize_t len = Py_SIZE(list);
    if (likely(L->allocated > len)) {
        Py_INCREF(x);
        PyList_SET_ITEM(list, len, x);
        Py_SIZE(list) = len+1;
        return 0;
    }
    return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif

/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
    PyObject* none = _PyList_Extend((PyListObject*)L, v);
    if (unlikely(!none))
        return -1;
    Py_DECREF(none);
    return 0;
#else
    return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}

/* ListAppend.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
    PyListObject* L = (PyListObject*) list;
    Py_ssize_t len = Py_SIZE(list);
    if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
        Py_INCREF(x);
        PyList_SET_ITEM(list, len, x);
        Py_SIZE(list) = len+1;
        return 0;
    }
    return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif

/* StringJoin.proto */
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyString_Join __Pyx_PyBytes_Join
#define __Pyx_PyBaseString_Join(s, v) (PyUnicode_CheckExact(s) ? PyUnicode_Join(s, v) : __Pyx_PyBytes_Join(s, v))
#else
#define __Pyx_PyString_Join PyUnicode_Join
#define __Pyx_PyBaseString_Join PyUnicode_Join
#endif
#if CYTHON_COMPILING_IN_CPYTHON
    #if PY_MAJOR_VERSION < 3
    #define __Pyx_PyBytes_Join _PyString_Join
    #else
    #define __Pyx_PyBytes_Join _PyBytes_Join
    #endif
#else
static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values);
#endif

/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);

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

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

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

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

#if PY_MAJOR_VERSION < 3
    static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
    static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
    #define __Pyx_GetBuffer PyObject_GetBuffer
    #define __Pyx_ReleaseBuffer PyBuffer_Release
#endif


/* BufferStructDeclare.proto */
typedef struct {
  Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
  size_t refcount;
  Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
  __Pyx_Buffer *rcbuffer;
  char *data;
  __Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;

/* None.proto */
static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0};
static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1};

/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs,
                                        char order, int ndim);

/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
                                __Pyx_memviewslice *slice2,
                                int ndim, size_t itemsize);

/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_Py_intptr_t(Py_intptr_t value);

/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);

/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
                int *axes_specs,
                int c_or_f_flag,
                int buf_flags,
                int ndim,
                __Pyx_TypeInfo *dtype,
                __Pyx_BufFmt_StackElem stack[],
                __Pyx_memviewslice *memviewslice,
                PyObject *original_obj);

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(PyObject *);

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(PyObject *);

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(PyObject *);

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

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

/* MemviewDtypeToObject.proto */
static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(const char *itemp);
static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(const char *itemp, PyObject *obj);

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

/* MemviewDtypeToObject.proto */
static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(const char *itemp);
static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(const char *itemp, PyObject *obj);

struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t;
static PyObject* __pyx_convert__to_py_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t s);
/* MemviewDtypeToObject.proto */
static CYTHON_INLINE PyObject *__pyx_memview_get_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(const char *itemp);
static CYTHON_INLINE int __pyx_memview_set_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(const char *itemp, PyObject *obj);

/* None.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    #define __Pyx_CREAL(z) ((z).real())
    #define __Pyx_CIMAG(z) ((z).imag())
  #else
    #define __Pyx_CREAL(z) (__real__(z))
    #define __Pyx_CIMAG(z) (__imag__(z))
  #endif
#else
    #define __Pyx_CREAL(z) ((z).real)
    #define __Pyx_CIMAG(z) ((z).imag)
#endif
#if defined(__cplusplus) && CYTHON_CCOMPLEX         && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
    #define __Pyx_SET_CREAL(z,x) ((z).real(x))
    #define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
#else
    #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
    #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
#endif

/* None.proto */
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);

/* None.proto */
#if CYTHON_CCOMPLEX
    #define __Pyx_c_eqf(a, b)   ((a)==(b))
    #define __Pyx_c_sumf(a, b)  ((a)+(b))
    #define __Pyx_c_difff(a, b) ((a)-(b))
    #define __Pyx_c_prodf(a, b) ((a)*(b))
    #define __Pyx_c_quotf(a, b) ((a)/(b))
    #define __Pyx_c_negf(a)     (-(a))
  #ifdef __cplusplus
    #define __Pyx_c_is_zerof(z) ((z)==(float)0)
    #define __Pyx_c_conjf(z)    (::std::conj(z))
    #if 1
        #define __Pyx_c_absf(z)     (::std::abs(z))
        #define __Pyx_c_powf(a, b)  (::std::pow(a, b))
    #endif
  #else
    #define __Pyx_c_is_zerof(z) ((z)==0)
    #define __Pyx_c_conjf(z)    (conjf(z))
    #if 1
        #define __Pyx_c_absf(z)     (cabsf(z))
        #define __Pyx_c_powf(a, b)  (cpowf(a, b))
    #endif
 #endif
#else
    static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex);
    static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex);
    #if 1
        static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex);
        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex);
    #endif
#endif

/* None.proto */
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);

/* None.proto */
#if CYTHON_CCOMPLEX
    #define __Pyx_c_eq(a, b)   ((a)==(b))
    #define __Pyx_c_sum(a, b)  ((a)+(b))
    #define __Pyx_c_diff(a, b) ((a)-(b))
    #define __Pyx_c_prod(a, b) ((a)*(b))
    #define __Pyx_c_quot(a, b) ((a)/(b))
    #define __Pyx_c_neg(a)     (-(a))
  #ifdef __cplusplus
    #define __Pyx_c_is_zero(z) ((z)==(double)0)
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static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);

/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
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/* CIntFromPy.proto */
static CYTHON_INLINE Py_intptr_t __Pyx_PyInt_As_Py_intptr_t(PyObject *);

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struct __pyx_typeinfo_string {
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static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type);

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

/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);

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

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(PyObject *);

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(PyObject *);

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t(PyObject *);

/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(PyObject *);

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

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

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

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

static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_row); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap__push(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_row, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_val, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_val); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap__sort(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_8NodeHeap_resize(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_new_size); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_8NodeHeap_push(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self, struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t __pyx_v_data); /* proto*/
static struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t __pyx_f_7sklearn_9neighbors_7kd_tree_8NodeHeap_peek(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self); /* proto*/
static struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t __pyx_f_7sklearn_9neighbors_7kd_tree_8NodeHeap_pop(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self); /* proto*/
static void __pyx_f_7sklearn_9neighbors_7kd_tree_8NodeHeap_clear(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self); /* proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_dist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size); /* proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_rdist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_idx_start, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_idx_end); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_single_depthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_pt, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_heap, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_reduced_dist_LB); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_single_breadthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_pt, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_heap, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_nodeheap); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_dual_depthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node1, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_other, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node2, __Pyx_memviewslice __pyx_v_bounds, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_heap, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_reduced_dist_LB); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_dual_breadthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_other, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_heap, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_nodeheap); /* proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_radius_single(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_r, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *__pyx_v_indices, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_distances, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_count, int __pyx_v_count_only, int __pyx_v_return_distance); /* proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_breadthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType __pyx_v_kernel, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_h, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_knorm, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_atol, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_rtol, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_nodeheap, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_node_log_min_bounds, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_node_log_bound_spreads); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_depthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType __pyx_v_kernel, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_h, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_knorm, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_atol, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_rtol, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_local_log_min_bound, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_local_log_bound_spread, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_global_log_min_bound, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_global_log_bound_spread); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__two_point_single(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_r, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *__pyx_v_count, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_min, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_max); /* proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__two_point_dual(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node1, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_other, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node2, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_r, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *__pyx_v_count, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_min, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_max); /* proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/

/* Module declarations from 'cython.view' */
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/

/* Module declarations from 'cython' */

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

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

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

/* Module declarations from '__builtin__' */

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

/* Module declarations from 'cpython' */

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

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

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

/* Module declarations from 'numpy' */

/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/

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

/* Module declarations from 'sklearn.utils.lgamma' */
static double (*__pyx_f_7sklearn_5utils_6lgamma_lgamma)(double); /*proto*/

/* Module declarations from 'sklearn.neighbors.typedefs' */

/* Module declarations from 'sklearn.neighbors.dist_metrics' */
static PyTypeObject *__pyx_ptype_7sklearn_9neighbors_12dist_metrics_DistanceMetric = 0;
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_euclidean_dist(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_euclidean_rdist(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_euclidean_dist_to_rdist(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_euclidean_rdist_to_dist(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/

/* Module declarations from 'sklearn.neighbors.kd_tree' */
static PyTypeObject *__pyx_ptype_7sklearn_9neighbors_7kd_tree_NeighborsHeap = 0;
static PyTypeObject *__pyx_ptype_7sklearn_9neighbors_7kd_tree_NodeHeap = 0;
static PyTypeObject *__pyx_ptype_7sklearn_9neighbors_7kd_tree_BinaryTree = 0;
static PyTypeObject *__pyx_ptype_7sklearn_9neighbors_7kd_tree_KDTree = 0;
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_7sklearn_9neighbors_7kd_tree_INF;
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_7sklearn_9neighbors_7kd_tree_NEG_INF;
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_7sklearn_9neighbors_7kd_tree_PI;
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_7sklearn_9neighbors_7kd_tree_ROOT_2PI;
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_7sklearn_9neighbors_7kd_tree_LOG_PI;
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_7sklearn_9neighbors_7kd_tree_LOG_2PI;
static struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t __pyx_v_7sklearn_9neighbors_7kd_tree_nhd_tmp;
static struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t __pyx_v_7sklearn_9neighbors_7kd_tree_nd_tmp;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_DTYPE_1D(PyArrayObject *); /*proto*/
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_DTYPE_2D(PyArrayObject *); /*proto*/
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_DTYPE_3D(PyArrayObject *); /*proto*/
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_ITYPE_1D(PyArrayObject *); /*proto*/
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_ITYPE_2D(PyArrayObject *); /*proto*/
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_NodeHeapData_1D(PyArrayObject *); /*proto*/
static __Pyx_memviewslice __pyx_f_7sklearn_9neighbors_7kd_tree_get_memview_NodeData_1D(PyArrayObject *); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_log_gaussian_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_log_tophat_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_log_epanechnikov_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_log_exponential_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_log_linear_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_log_cosine_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_logVn(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_logSn(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree__log_kernel_norm(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType); /*proto*/
static CYTHON_INLINE void __pyx_f_7sklearn_9neighbors_7kd_tree_dual_swap(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree__simultaneous_sort(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_find_node_split_dim(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_partition_node_indices(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE void __pyx_f_7sklearn_9neighbors_7kd_tree_swap_nodes(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE double __pyx_f_7sklearn_9neighbors_7kd_tree_fmin(double, double); /*proto*/
static CYTHON_INLINE double __pyx_f_7sklearn_9neighbors_7kd_tree_fmax(double, double); /*proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_allocate_data(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static int __pyx_f_7sklearn_9neighbors_7kd_tree_init_node(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_min_dist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_max_rdist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *); /*proto*/
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_max_dist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *); /*proto*/
static CYTHON_INLINE int __pyx_f_7sklearn_9neighbors_7kd_tree_min_max_dist(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist_dual(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_min_dist_dual(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_max_rdist_dual(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_max_dist_dual(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t); /*proto*/
static CYTHON_INLINE void __pyx_fuse_0__pyx_f_7sklearn_9neighbors_7kd_tree_swap(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *, int, int); /*proto*/
static struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t __pyx_convert__from_py_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(PyObject *); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_format_from_typeinfo(__Pyx_TypeInfo *); /*proto*/
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t = { "ITYPE_t", NULL, sizeof(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t), { 0 }, 0, IS_UNSIGNED(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t) ? 'U' : 'I', IS_UNSIGNED(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t), 0 };
static __Pyx_StructField __Pyx_StructFields_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t[] = {
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t = { "NodeHeapData_t", __Pyx_StructFields_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t, sizeof(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t), { 0 }, 0, 'S', 0, 0 };
static __Pyx_StructField __Pyx_StructFields_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t[] = {
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t = { "NodeData_t", __Pyx_StructFields_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t, sizeof(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t), { 0 }, 0, 'S', 0, 0 };
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static const char __pyx_k_data[] = "data";
static const char __pyx_k_heap[] = "heap";
static const char __pyx_k_join[] = "join";
static const char __pyx_k_log2[] = "log2";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "__name__";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_rtol[] = "rtol";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_sort[] = "sort";
static const char __pyx_k_step[] = "step";
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static const char __pyx_k_result[] = "result";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_tophat[] = "tophat";
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static const char __pyx_k_argsort[] = "argsort";
static const char __pyx_k_asarray[] = "asarray";
static const char __pyx_k_formats[] = "formats";
static const char __pyx_k_fortran[] = "fortran";
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static const char __pyx_k_indices[] = "indices";
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static const char __pyx_k_offsets[] = "offsets";
static const char __pyx_k_reshape[] = "reshape";
static const char __pyx_k_DOC_DICT[] = "DOC_DICT";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_KeyError[] = "KeyError";
static const char __pyx_k_NodeData[] = "NodeData";
static const char __pyx_k_dualtree[] = "dualtree";
static const char __pyx_k_gaussian[] = "gaussian";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_typedefs[] = "typedefs";
static const char __pyx_k_warnings[] = "warnings";
static const char __pyx_k_CLASS_DOC[] = "CLASS_DOC";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_distances[] = "distances";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_idx_start[] = "idx_start";
static const char __pyx_k_leaf_size[] = "leaf_size";
static const char __pyx_k_load_heap[] = "load_heap";
static const char __pyx_k_minkowski[] = "minkowski";
static const char __pyx_k_node_data[] = "node_data";
static const char __pyx_k_BinaryTree[] = "BinaryTree";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_atleast_1d[] = "atleast_1d";
static const char __pyx_k_count_only[] = "count_only";
static const char __pyx_k_get_arrays[] = "get_arrays";
static const char __pyx_k_get_metric[] = "get_metric";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_return_log[] = "return_log";
static const char __pyx_k_size_guess[] = "size_guess";
static const char __pyx_k_zeros_like[] = "zeros_like";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_binary_tree[] = "binary_tree";
static const char __pyx_k_check_array[] = "check_array";
static const char __pyx_k_exponential[] = "exponential";
static const char __pyx_k_kernel_norm[] = "kernel_norm";
static const char __pyx_k_vals_sorted[] = "vals_sorted";
static const char __pyx_k_NodeHeapData[] = "NodeHeapData";
static const char __pyx_k_RuntimeError[] = "RuntimeError";
static const char __pyx_k_dist_metrics[] = "dist_metrics";
static const char __pyx_k_epanechnikov[] = "epanechnikov";
static const char __pyx_k_sort_results[] = "sort_results";
static const char __pyx_k_VALID_METRICS[] = "VALID_METRICS";
static const char __pyx_k_breadth_first[] = "breadth_first";
static const char __pyx_k_nodeheap_sort[] = "nodeheap_sort";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_rdist_to_dist[] = "rdist_to_dist";
static const char __pyx_k_valid_metrics[] = "valid_metrics";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_return_distance[] = "return_distance";
static const char __pyx_k_VALID_METRIC_IDS[] = "VALID_METRIC_IDS";
static const char __pyx_k_ChebyshevDistance[] = "ChebyshevDistance";
static const char __pyx_k_EuclideanDistance[] = "EuclideanDistance";
static const char __pyx_k_ManhattanDistance[] = "ManhattanDistance";
static const char __pyx_k_MinkowskiDistance[] = "MinkowskiDistance";
static const char __pyx_k_simultaneous_sort[] = "simultaneous_sort";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_X_is_an_empty_array[] = "X is an empty array";
static const char __pyx_k_get_valid_metric_ids[] = "get_valid_metric_ids";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_kernel_not_recognized[] = "kernel not recognized";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_kernel_s_not_recognized[] = "kernel = '%s' not recognized";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_cannot_pop_on_empty_heap[] = "cannot pop on empty heap";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_sklearn_neighbors_kd_tree[] = "sklearn.neighbors.kd_tree";
static const char __pyx_k_BinaryTree_query_line_1232[] = "BinaryTree.query (line 1232)";
static const char __pyx_k_Kernel_code_not_recognized[] = "Kernel code not recognized";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_home_yoh_deb_gits_scikit_learn[] = "/home/yoh/deb/gits/scikit-learn/sklearn/neighbors/binary_tree.pxi";
static const char __pyx_k_kernel_density_self_X_h_kernel[] = "\n        kernel_density(self, X, h, kernel='gaussian', atol=0, rtol=1E-8,\n                       breadth_first=True, return_log=False)\n\n        Compute the kernel density estimate at points X with the given kernel,\n        using the distance metric specified at tree creation.\n\n        Parameters\n        ----------\n        X : array_like\n            An array of points to query.  Last dimension should match dimension\n            of training data.\n        h : float\n            the bandwidth of the kernel\n        kernel : string\n            specify the kernel to use.  Options are\n            - 'gaussian'\n            - 'tophat'\n            - 'epanechnikov'\n            - 'exponential'\n            - 'linear'\n            - 'cosine'\n            Default is kernel = 'gaussian'\n        atol, rtol : float (default = 0)\n            Specify the desired relative and absolute tolerance of the result.\n            If the true result is K_true, then the returned result K_ret\n            satisfies ``abs(K_true - K_ret) < atol + rtol * K_ret``\n            The default is zero (i.e. machine precision) for both.\n        breadth_first : boolean (default = False)\n            if True, use a breadth-first search.  If False (default) use a\n            depth-first search.  Breadth-first is generally faster for\n            compact kernels and/or high tolerances.\n        return_log : boolean (default = False)\n            return the logarithm of the result.  This can be more accurate\n            than returning the result itself for narrow kernels.\n\n        Returns\n        -------\n        density : ndarray\n            The array of (log)-density evaluations, shape = X.shape[:-1]\n\n        Examples\n        --------\n        Compute a gaussian kernel density estimate:\n\n        >>> import numpy as np\n        >>> np.random.seed(1)\n        >>> X = np.random.random((100, 3))\n        >>> tree = BinaryTree(X)           # doctest: +SKIP\n        >>> tree.kernel_den""sity(X[:3], h=0.1, kernel='gaussian')\n        array([ 6.94114649,  7.83281226,  7.2071716 ])\n        ";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_BinaryTree_for_fast_generalized[] = "{BinaryTree} for fast generalized N-point problems\n\n{BinaryTree}(X, leaf_size=40, metric='minkowski', \\**kwargs)\n\nParameters\n----------\nX : array-like, shape = [n_samples, n_features]\n    n_samples is the number of points in the data set, and\n    n_features is the dimension of the parameter space.\n    Note: if X is a C-contiguous array of doubles then data will\n    not be copied. Otherwise, an internal copy will be made.\n\nleaf_size : positive integer (default = 40)\n    Number of points at which to switch to brute-force. Changing\n    leaf_size will not affect the results of a query, but can\n    significantly impact the speed of a query and the memory required\n    to store the constructed tree.  The amount of memory needed to\n    store the tree scales as approximately n_samples / leaf_size.\n    For a specified ``leaf_size``, a leaf node is guaranteed to\n    satisfy ``leaf_size <= n_points <= 2 * leaf_size``, except in\n    the case that ``n_samples < leaf_size``.\n\nmetric : string or DistanceMetric object\n    the distance metric to use for the tree.  Default='minkowski'\n    with p=2 (that is, a euclidean metric). See the documentation\n    of the DistanceMetric class for a list of available metrics.\n    {binary_tree}.valid_metrics gives a list of the metrics which\n    are valid for {BinaryTree}.\n\nAdditional keywords are passed to the distance metric class.\n\nAttributes\n----------\ndata : np.ndarray\n    The training data\n\nExamples\n--------\nQuery for k-nearest neighbors\n\n    >>> import numpy as np\n    >>> np.random.seed(0)\n    >>> X = np.random.random((10, 3))  # 10 points in 3 dimensions\n    >>> tree = {BinaryTree}(X, leaf_size=2)              # doctest: +SKIP\n    >>> dist, ind = tree.query([X[0]], k=3)                # doctest: +SKIP\n    >>> print ind  # indices of 3 closest neighbors\n    [0 3 1]\n    >>> print dist  # distances to 3 closest neighbors\n    [ 0.          0.19662693  0.29473397]\n\nPickle and Unpickle a tree.  N""ote that the state of the tree is saved in the\npickle operation: the tree needs not be rebuilt upon unpickling.\n\n    >>> import numpy as np\n    >>> import pickle\n    >>> np.random.seed(0)\n    >>> X = np.random.random((10, 3))  # 10 points in 3 dimensions\n    >>> tree = {BinaryTree}(X, leaf_size=2)        # doctest: +SKIP\n    >>> s = pickle.dumps(tree)                     # doctest: +SKIP\n    >>> tree_copy = pickle.loads(s)                # doctest: +SKIP\n    >>> dist, ind = tree_copy.query(X[0], k=3)     # doctest: +SKIP\n    >>> print ind  # indices of 3 closest neighbors\n    [0 3 1]\n    >>> print dist  # distances to 3 closest neighbors\n    [ 0.          0.19662693  0.29473397]\n\nQuery for neighbors within a given radius\n\n    >>> import numpy as np\n    >>> np.random.seed(0)\n    >>> X = np.random.random((10, 3))  # 10 points in 3 dimensions\n    >>> tree = {BinaryTree}(X, leaf_size=2)     # doctest: +SKIP\n    >>> print tree.query_radius(X[0], r=0.3, count_only=True)\n    3\n    >>> ind = tree.query_radius(X[0], r=0.3)  # doctest: +SKIP\n    >>> print ind  # indices of neighbors within distance 0.3\n    [3 0 1]\n\n\nCompute a gaussian kernel density estimate:\n\n    >>> import numpy as np\n    >>> np.random.seed(1)\n    >>> X = np.random.random((100, 3))\n    >>> tree = {BinaryTree}(X)                # doctest: +SKIP\n    >>> tree.kernel_density(X[:3], h=0.1, kernel='gaussian')\n    array([ 6.94114649,  7.83281226,  7.2071716 ])\n\nCompute a two-point auto-correlation function\n\n    >>> import numpy as np\n    >>> np.random.seed(0)\n    >>> X = np.random.random((30, 3))\n    >>> r = np.linspace(0, 1, 5)\n    >>> tree = {BinaryTree}(X)                # doctest: +SKIP\n    >>> tree.two_point_correlation(X, r)\n    array([ 30,  62, 278, 580, 820])\n\n";
static const char __pyx_k_Fatal_count_too_big_this_should[] = "Fatal: count too big: this should never happen";
static const char __pyx_k_k_must_be_less_than_or_equal_to[] = "k must be less than or equal to the number of training points";
static const char __pyx_k_query_X_k_1_return_distance_Tru[] = "\n        query(X, k=1, return_distance=True,\n              dualtree=False, breadth_first=False)\n\n        query the tree for the k nearest neighbors\n\n        Parameters\n        ----------\n        X : array-like, last dimension self.dim\n            An array of points to query\n        k : integer  (default = 1)\n            The number of nearest neighbors to return\n        return_distance : boolean (default = True)\n            if True, return a tuple (d, i) of distances and indices\n            if False, return array i\n        dualtree : boolean (default = False)\n            if True, use the dual tree formalism for the query: a tree is\n            built for the query points, and the pair of trees is used to\n            efficiently search this space.  This can lead to better\n            performance as the number of points grows large.\n        breadth_first : boolean (default = False)\n            if True, then query the nodes in a breadth-first manner.\n            Otherwise, query the nodes in a depth-first manner.\n        sort_results : boolean (default = True)\n            if True, then distances and indices of each point are sorted\n            on return, so that the first column contains the closest points.\n            Otherwise, neighbors are returned in an arbitrary order.\n\n        Returns\n        -------\n        i    : if return_distance == False\n        (d,i) : if return_distance == True\n\n        d : array of doubles - shape: x.shape[:-1] + (k,)\n            each entry gives the list of distances to the\n            neighbors of the corresponding point\n\n        i : array of integers - shape: x.shape[:-1] + (k,)\n            each entry gives the list of indices of\n            neighbors of the corresponding point\n\n        Examples\n        --------\n        Query for k-nearest neighbors\n\n            >>> import numpy as np\n            >>> np.random.seed(0)\n            >>> X = np.random.random((10, 3))  # 10 points in 3 dimension""s\n            >>> tree = BinaryTree(X, leaf_size=2)    # doctest: +SKIP\n            >>> dist, ind = tree.query(X[0], k=3)    # doctest: +SKIP\n            >>> print ind  # indices of 3 closest neighbors\n            [0 3 1]\n            >>> print dist  # distances to 3 closest neighbors\n            [ 0.          0.19662693  0.29473397]\n        ";
static const char __pyx_k_query_data_dimension_must_match[] = "query data dimension must match training data dimension";
static const char __pyx_k_query_radius_self_X_r_count_onl[] = "\n        query_radius(self, X, r, count_only = False):\n\n        query the tree for neighbors within a radius r\n\n        Parameters\n        ----------\n        X : array-like, last dimension self.dim\n            An array of points to query\n        r : distance within which neighbors are returned\n            r can be a single value, or an array of values of shape\n            x.shape[:-1] if different radii are desired for each point.\n        return_distance : boolean (default = False)\n            if True,  return distances to neighbors of each point\n            if False, return only neighbors\n            Note that unlike the query() method, setting return_distance=True\n            here adds to the computation time.  Not all distances need to be\n            calculated explicitly for return_distance=False.  Results are\n            not sorted by default: see ``sort_results`` keyword.\n        count_only : boolean (default = False)\n            if True,  return only the count of points within distance r\n            if False, return the indices of all points within distance r\n            If return_distance==True, setting count_only=True will\n            result in an error.\n        sort_results : boolean (default = False)\n            if True, the distances and indices will be sorted before being\n            returned.  If False, the results will not be sorted.  If\n            return_distance == False, setting sort_results = True will\n            result in an error.\n\n        Returns\n        -------\n        count       : if count_only == True\n        ind         : if count_only == False and return_distance == False\n        (ind, dist) : if count_only == False and return_distance == True\n\n        count : array of integers, shape = X.shape[:-1]\n            each entry gives the number of neighbors within\n            a distance r of the corresponding point.\n\n        ind : array of objects, shape = X.shape[:-1]\n            each element is a num""py integer array listing the indices of\n            neighbors of the corresponding point.  Note that unlike\n            the results of a k-neighbors query, the returned neighbors\n            are not sorted by distance by default.\n\n        dist : array of objects, shape = X.shape[:-1]\n            each element is a numpy double array\n            listing the distances corresponding to indices in i.\n\n        Examples\n        --------\n        Query for neighbors in a given radius\n\n        >>> import numpy as np\n        >>> np.random.seed(0)\n        >>> X = np.random.random((10, 3))  # 10 points in 3 dimensions\n        >>> tree = BinaryTree(X, leaf_size=2)     # doctest: +SKIP\n        >>> print tree.query_radius(X[0], r=0.3, count_only=True)\n        3\n        >>> ind = tree.query_radius(X[0], r=0.3)  # doctest: +SKIP\n        >>> print ind  # indices of neighbors within distance 0.3\n        [3 0 1]\n        ";
static const char __pyx_k_r_must_be_a_1_dimensional_array[] = "r must be a 1-dimensional array";
static const char __pyx_k_return_distance_must_be_True_if[] = "return_distance must be True if sort_results is True";
static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
static const char __pyx_k_BinaryTree_kernel_density_line_1[] = "BinaryTree.kernel_density (line 1504)";
static const char __pyx_k_BinaryTree_query_radius_line_135[] = "BinaryTree.query_radius (line 1358)";
static const char __pyx_k_BinaryTree_two_point_correlation[] = "BinaryTree.two_point_correlation (line 1655)";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Compute_the_two_point_correlatio[] = "Compute the two-point correlation function\n\n        Parameters\n        ----------\n        X : array_like\n            An array of points to query.  Last dimension should match dimension\n            of training data.\n        r : array_like\n            A one-dimensional array of distances\n        dualtree : boolean (default = False)\n            If true, use a dualtree algorithm.  Otherwise, use a single-tree\n            algorithm.  Dual tree algorithms can have better scaling for\n            large N.\n\n        Returns\n        -------\n        counts : ndarray\n            counts[i] contains the number of pairs of points with distance\n            less than or equal to r[i]\n\n        Examples\n        --------\n        Compute the two-point autocorrelation function of X:\n\n        >>> import numpy as np\n        >>> np.random.seed(0)\n        >>> X = np.random.random((30, 3))\n        >>> r = np.linspace(0, 1, 5)\n        >>> tree = BinaryTree(X)     # doctest: +SKIP\n        >>> tree.two_point_correlation(X, r)\n        array([ 30,  62, 278, 580, 820])\n        ";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Fatal_count_out_of_range_This_sh[] = "Fatal: count out of range. This should never happen.";
static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Internal_memory_layout_is_flawed[] = "Internal: memory layout is flawed: not enough nodes allocated";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_No_value_specified_for_struct_at[] = "No value specified for struct attribute 'idx_start'";
static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_count_only_and_return_distance_c[] = "count_only and return_distance cannot both be true";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_leaf_size_must_be_greater_than_o[] = "leaf_size must be greater than or equal to 1";
static const char __pyx_k_metric_metric_is_not_valid_for_B[] = "metric {metric} is not valid for {BinaryTree}";
static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
static const char __pyx_k_r_must_be_broadcastable_to_X_sha[] = "r must be broadcastable to X.shape";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
static const char __pyx_k_Internal_memory_layout_is_flawed_2[] = "Internal: memory layout is flawed: too many nodes allocated";
static const char __pyx_k_No_value_specified_for_struct_at_2[] = "No value specified for struct attribute 'idx_end'";
static const char __pyx_k_No_value_specified_for_struct_at_3[] = "No value specified for struct attribute 'is_leaf'";
static const char __pyx_k_No_value_specified_for_struct_at_4[] = "No value specified for struct attribute 'radius'";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_n_s_BinaryTree;
static PyObject *__pyx_kp_s_BinaryTree_for_fast_generalized;
static PyObject *__pyx_kp_u_BinaryTree_kernel_density_line_1;
static PyObject *__pyx_kp_u_BinaryTree_query_line_1232;
static PyObject *__pyx_kp_u_BinaryTree_query_radius_line_135;
static PyObject *__pyx_kp_u_BinaryTree_two_point_correlation;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_n_s_C;
static PyObject *__pyx_n_s_CLASS_DOC;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_ChebyshevDistance;
static PyObject *__pyx_kp_u_Compute_the_two_point_correlatio;
static PyObject *__pyx_n_s_DOC_DICT;
static PyObject *__pyx_n_s_DTYPE;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_n_s_EuclideanDistance;
static PyObject *__pyx_kp_s_Fatal_count_out_of_range_This_sh;
static PyObject *__pyx_kp_s_Fatal_count_too_big_this_should;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
static PyObject *__pyx_n_s_ITYPE;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Internal_memory_layout_is_flawed;
static PyObject *__pyx_kp_s_Internal_memory_layout_is_flawed_2;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_KDTree;
static PyObject *__pyx_kp_s_Kernel_code_not_recognized;
static PyObject *__pyx_n_s_KeyError;
static PyObject *__pyx_n_s_ManhattanDistance;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_s_MinkowskiDistance;
static PyObject *__pyx_kp_s_No_value_specified_for_struct_at;
static PyObject *__pyx_kp_s_No_value_specified_for_struct_at_2;
static PyObject *__pyx_kp_s_No_value_specified_for_struct_at_3;
static PyObject *__pyx_kp_s_No_value_specified_for_struct_at_4;
static PyObject *__pyx_n_s_NodeData;
static PyObject *__pyx_n_s_NodeHeapData;
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_RuntimeError;
static PyObject *__pyx_kp_b_T;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_VALID_METRICS;
static PyObject *__pyx_n_s_VALID_METRIC_IDS;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_X;
static PyObject *__pyx_kp_s_X_is_an_empty_array;
static PyObject *__pyx_kp_b__56;
static PyObject *__pyx_kp_b__57;
static PyObject *__pyx_kp_b__58;
static PyObject *__pyx_kp_b__59;
static PyObject *__pyx_kp_u__60;
static PyObject *__pyx_n_s_all;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_arange;
static PyObject *__pyx_n_s_argsort;
static PyObject *__pyx_n_s_asarray;
static PyObject *__pyx_n_s_atleast_1d;
static PyObject *__pyx_n_s_atol;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_binary_tree;
static PyObject *__pyx_n_s_breadth_first;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_kp_s_cannot_pop_on_empty_heap;
static PyObject *__pyx_n_s_check_array;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_copy;
static PyObject *__pyx_n_s_cosine;
static PyObject *__pyx_n_s_count_only;
static PyObject *__pyx_kp_s_count_only_and_return_distance_c;
static PyObject *__pyx_n_s_d;
static PyObject *__pyx_n_s_data;
static PyObject *__pyx_n_s_dist_metrics;
static PyObject *__pyx_n_s_distances;
static PyObject *__pyx_n_s_doc;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_dualtree;
static PyObject *__pyx_n_s_empty;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_epanechnikov;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_exp;
static PyObject *__pyx_n_s_exponential;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_formats;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_gaussian;
static PyObject *__pyx_n_s_get_arrays;
static PyObject *__pyx_n_s_get_metric;
static PyObject *__pyx_n_s_get_valid_metric_ids;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_h;
static PyObject *__pyx_n_s_heap;
static PyObject *__pyx_kp_s_home_yoh_deb_gits_scikit_learn;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_i1;
static PyObject *__pyx_n_s_i2;
static PyObject *__pyx_n_s_i_val;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_idx_end;
static PyObject *__pyx_n_s_idx_start;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_indices;
static PyObject *__pyx_n_s_inf;
static PyObject *__pyx_n_s_is_leaf;
static PyObject *__pyx_n_s_items;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_join;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_kp_s_k_must_be_less_than_or_equal_to;
static PyObject *__pyx_n_s_kd_tree;
static PyObject *__pyx_n_s_kernel;
static PyObject *__pyx_kp_u_kernel_density_self_X_h_kernel;
static PyObject *__pyx_n_s_kernel_norm;
static PyObject *__pyx_kp_s_kernel_not_recognized;
static PyObject *__pyx_kp_s_kernel_s_not_recognized;
static PyObject *__pyx_n_s_leaf_size;
static PyObject *__pyx_kp_s_leaf_size_must_be_greater_than_o;
static PyObject *__pyx_n_s_linear;
static PyObject *__pyx_n_s_load_heap;
static PyObject *__pyx_n_s_log2;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_metric;
static PyObject *__pyx_kp_s_metric_metric_is_not_valid_for_B;
static PyObject *__pyx_n_s_minkowski;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_n_nbrs;
static PyObject *__pyx_n_s_n_pts;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_names;
static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous;
static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_n_s_newObj;
static PyObject *__pyx_n_s_node_data;
static PyObject *__pyx_n_s_nodeheap_sort;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_object;
static PyObject *__pyx_n_s_offsets;
static PyObject *__pyx_n_s_order;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_pi;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_kp_u_query_X_k_1_return_distance_Tru;
static PyObject *__pyx_kp_s_query_data_dimension_must_match;
static PyObject *__pyx_kp_u_query_radius_self_X_r_count_onl;
static PyObject *__pyx_n_s_r;
static PyObject *__pyx_kp_s_r_must_be_a_1_dimensional_array;
static PyObject *__pyx_kp_s_r_must_be_broadcastable_to_X_sha;
static PyObject *__pyx_n_s_radius;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_rdist_to_dist;
static PyObject *__pyx_n_s_reshape;
static PyObject *__pyx_n_s_result;
static PyObject *__pyx_n_s_return_distance;
static PyObject *__pyx_kp_s_return_distance_must_be_True_if;
static PyObject *__pyx_n_s_return_log;
static PyObject *__pyx_n_s_row;
static PyObject *__pyx_n_s_rtol;
static PyObject *__pyx_kp_u_s;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_simultaneous_sort;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_size_guess;
static PyObject *__pyx_n_s_sklearn_neighbors_kd_tree;
static PyObject *__pyx_n_s_sort;
static PyObject *__pyx_n_s_sort_results;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_tophat;
static PyObject *__pyx_n_s_typedefs;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_utils;
static PyObject *__pyx_n_s_val;
static PyObject *__pyx_n_s_valid_metrics;
static PyObject *__pyx_n_s_vals;
static PyObject *__pyx_n_s_vals_sorted;
static PyObject *__pyx_n_s_warn;
static PyObject *__pyx_n_s_warnings;
static PyObject *__pyx_n_s_zeros;
static PyObject *__pyx_n_s_zeros_like;
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_kernel_norm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_h, PyObject *__pyx_v_d, PyObject *__pyx_v_kernel, PyObject *__pyx_v_return_log); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_13NeighborsHeap___cinit__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_2__init__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self, PyObject *__pyx_v_n_pts, PyObject *__pyx_v_n_nbrs); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_4get_arrays(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self, PyObject *__pyx_v_sort); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_6push(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_row, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_val, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_val); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_8NodeHeap___cinit__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_8NodeHeap_2__init__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_self, PyObject *__pyx_v_size_guess); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_2newObj(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_obj); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree___cinit__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_2__init__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_data, PyObject *__pyx_v_leaf_size, PyObject *__pyx_v_metric, PyObject *__pyx_v_kwargs); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_4__reduce__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_6__getstate__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_8__setstate__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_state); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_10get_tree_stats(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_12reset_n_calls(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_14get_n_calls(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_16get_arrays(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_18query(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_X, PyObject *__pyx_v_k, PyObject *__pyx_v_return_distance, PyObject *__pyx_v_dualtree, PyObject *__pyx_v_breadth_first, PyObject *__pyx_v_sort_results); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_20query_radius(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_X, PyObject *__pyx_v_r, PyObject *__pyx_v_return_distance, int __pyx_v_count_only, int __pyx_v_sort_results); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_22kernel_density(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_X, PyObject *__pyx_v_h, PyObject *__pyx_v_kernel, PyObject *__pyx_v_atol, PyObject *__pyx_v_rtol, PyObject *__pyx_v_breadth_first, PyObject *__pyx_v_return_log); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_24two_point_correlation(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_X, PyObject *__pyx_v_r, PyObject *__pyx_v_dualtree); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_4data___get__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_9idx_array___get__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_9idx_array_2__set__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_9node_data___get__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_9node_data_2__set__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_11node_bounds___get__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_9neighbors_7kd_tree_10BinaryTree_11node_bounds_2__set__(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_4load_heap(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_X, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_k); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_6simultaneous_sort(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_distances, __Pyx_memviewslice __pyx_v_indices); /* proto */
static PyObject *__pyx_pf_7sklearn_9neighbors_7kd_tree_8nodeheap_sort(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_vals); /* proto */
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */
static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_NeighborsHeap(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_NodeHeap(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_BinaryTree(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_KDTree(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_float_1Eneg_8;
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_2;
static PyObject *__pyx_int_40;
static PyObject *__pyx_int_100;
static PyObject *__pyx_int_neg_1;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__4;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_slice__52;
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 *     """Given a KernelType enumeration, compute the appropriate log-kernel"""
 *     if kernel == GAUSSIAN_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_gaussian_kernel(dist, h)
 *     elif kernel == TOPHAT_KERNEL:
 */
    break;

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 *         return log_gaussian_kernel(dist, h)
 *     elif kernel == TOPHAT_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_tophat_kernel(dist, h)
 *     elif kernel == EPANECHNIKOV_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":441
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    goto __pyx_L0;

    /* "sklearn/neighbors/binary_tree.pxi":440
 *     if kernel == GAUSSIAN_KERNEL:
 *         return log_gaussian_kernel(dist, h)
 *     elif kernel == TOPHAT_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_tophat_kernel(dist, h)
 *     elif kernel == EPANECHNIKOV_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":442
 *     elif kernel == TOPHAT_KERNEL:
 *         return log_tophat_kernel(dist, h)
 *     elif kernel == EPANECHNIKOV_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_epanechnikov_kernel(dist, h)
 *     elif kernel == EXPONENTIAL_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":443
 *         return log_tophat_kernel(dist, h)
 *     elif kernel == EPANECHNIKOV_KERNEL:
 *         return log_epanechnikov_kernel(dist, h)             # <<<<<<<<<<<<<<
 *     elif kernel == EXPONENTIAL_KERNEL:
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 */
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    goto __pyx_L0;

    /* "sklearn/neighbors/binary_tree.pxi":442
 *     elif kernel == TOPHAT_KERNEL:
 *         return log_tophat_kernel(dist, h)
 *     elif kernel == EPANECHNIKOV_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_epanechnikov_kernel(dist, h)
 *     elif kernel == EXPONENTIAL_KERNEL:
 */
    break;

    /* "sklearn/neighbors/binary_tree.pxi":444
 *     elif kernel == EPANECHNIKOV_KERNEL:
 *         return log_epanechnikov_kernel(dist, h)
 *     elif kernel == EXPONENTIAL_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_exponential_kernel(dist, h)
 *     elif kernel == LINEAR_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":445
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 *     elif kernel == EXPONENTIAL_KERNEL:
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 *     elif kernel == LINEAR_KERNEL:
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 */
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    goto __pyx_L0;

    /* "sklearn/neighbors/binary_tree.pxi":444
 *     elif kernel == EPANECHNIKOV_KERNEL:
 *         return log_epanechnikov_kernel(dist, h)
 *     elif kernel == EXPONENTIAL_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_exponential_kernel(dist, h)
 *     elif kernel == LINEAR_KERNEL:
 */
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 *     elif kernel == EXPONENTIAL_KERNEL:
 *         return log_exponential_kernel(dist, h)
 *     elif kernel == LINEAR_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_linear_kernel(dist, h)
 *     elif kernel == COSINE_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":447
 *         return log_exponential_kernel(dist, h)
 *     elif kernel == LINEAR_KERNEL:
 *         return log_linear_kernel(dist, h)             # <<<<<<<<<<<<<<
 *     elif kernel == COSINE_KERNEL:
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 */
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    goto __pyx_L0;

    /* "sklearn/neighbors/binary_tree.pxi":446
 *     elif kernel == EXPONENTIAL_KERNEL:
 *         return log_exponential_kernel(dist, h)
 *     elif kernel == LINEAR_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_linear_kernel(dist, h)
 *     elif kernel == COSINE_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":448
 *     elif kernel == LINEAR_KERNEL:
 *         return log_linear_kernel(dist, h)
 *     elif kernel == COSINE_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_cosine_kernel(dist, h)
 * 
 */
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    /* "sklearn/neighbors/binary_tree.pxi":449
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 * 
 * 
 */
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 *     elif kernel == LINEAR_KERNEL:
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 *     elif kernel == COSINE_KERNEL:             # <<<<<<<<<<<<<<
 *         return log_cosine_kernel(dist, h)
 * 
 */
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 * 
 * cdef inline DTYPE_t compute_log_kernel(DTYPE_t dist, DTYPE_t h,             # <<<<<<<<<<<<<<
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/* "sklearn/neighbors/binary_tree.pxi":455
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 * # Kernel norms are defined via the volume element V_n
 * # and surface element S_(n-1) of an n-sphere.
 * cdef DTYPE_t logVn(ITYPE_t n):             # <<<<<<<<<<<<<<
 *     """V_n = pi^(n/2) / gamma(n/2 - 1)"""
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 * cdef DTYPE_t logSn(ITYPE_t n):             # <<<<<<<<<<<<<<
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 * 
 * cdef DTYPE_t logSn(ITYPE_t n):             # <<<<<<<<<<<<<<
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 *     cdef ITYPE_t k
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 *         factor = 0.5 * d * LOG_2PI             # <<<<<<<<<<<<<<
 *     elif kernel == TOPHAT_KERNEL:
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 *     cdef DTYPE_t tmp, factor = 0
 *     cdef ITYPE_t k
 *     if kernel == GAUSSIAN_KERNEL:             # <<<<<<<<<<<<<<
 *         factor = 0.5 * d * LOG_2PI
 *     elif kernel == TOPHAT_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":475
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 *         factor = 0.5 * d * LOG_2PI
 *     elif kernel == TOPHAT_KERNEL:             # <<<<<<<<<<<<<<
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    /* "sklearn/neighbors/binary_tree.pxi":476
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 *         factor = 0.5 * d * LOG_2PI
 *     elif kernel == TOPHAT_KERNEL:             # <<<<<<<<<<<<<<
 *         factor = logVn(d)
 *     elif kernel == EPANECHNIKOV_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":477
 *     elif kernel == TOPHAT_KERNEL:
 *         factor = logVn(d)
 *     elif kernel == EPANECHNIKOV_KERNEL:             # <<<<<<<<<<<<<<
 *         factor = logVn(d) + log(2. / (d + 2.))
 *     elif kernel == EXPONENTIAL_KERNEL:
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    /* "sklearn/neighbors/binary_tree.pxi":478
 *         factor = logVn(d)
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 *     elif kernel == TOPHAT_KERNEL:
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 *     elif kernel == EPANECHNIKOV_KERNEL:             # <<<<<<<<<<<<<<
 *         factor = logVn(d) + log(2. / (d + 2.))
 *     elif kernel == EXPONENTIAL_KERNEL:
 */
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 *     elif kernel == EPANECHNIKOV_KERNEL:
 *         factor = logVn(d) + log(2. / (d + 2.))
 *     elif kernel == EXPONENTIAL_KERNEL:             # <<<<<<<<<<<<<<
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 *     elif kernel == LINEAR_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":480
 *         factor = logVn(d) + log(2. / (d + 2.))
 *     elif kernel == EXPONENTIAL_KERNEL:
 *         factor = logSn(d - 1) + lgamma(d)             # <<<<<<<<<<<<<<
 *     elif kernel == LINEAR_KERNEL:
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 */
    __pyx_v_factor = (__pyx_f_7sklearn_9neighbors_7kd_tree_logSn((__pyx_v_d - 1)) + __pyx_f_7sklearn_5utils_6lgamma_lgamma(__pyx_v_d));

    /* "sklearn/neighbors/binary_tree.pxi":479
 *     elif kernel == EPANECHNIKOV_KERNEL:
 *         factor = logVn(d) + log(2. / (d + 2.))
 *     elif kernel == EXPONENTIAL_KERNEL:             # <<<<<<<<<<<<<<
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 *     elif kernel == LINEAR_KERNEL:
 */
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 *     elif kernel == LINEAR_KERNEL:             # <<<<<<<<<<<<<<
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 */
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    /* "sklearn/neighbors/binary_tree.pxi":482
 *         factor = logSn(d - 1) + lgamma(d)
 *     elif kernel == LINEAR_KERNEL:
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 *     elif kernel == COSINE_KERNEL:
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 */
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    /* "sklearn/neighbors/binary_tree.pxi":481
 *     elif kernel == EXPONENTIAL_KERNEL:
 *         factor = logSn(d - 1) + lgamma(d)
 *     elif kernel == LINEAR_KERNEL:             # <<<<<<<<<<<<<<
 *         factor = logVn(d) - log(d + 1.)
 *     elif kernel == COSINE_KERNEL:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":483
 *     elif kernel == LINEAR_KERNEL:
 *         factor = logVn(d) - log(d + 1.)
 *     elif kernel == COSINE_KERNEL:             # <<<<<<<<<<<<<<
 *         # this is derived from a chain rule integration
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 */
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    /* "sklearn/neighbors/binary_tree.pxi":485
 *     elif kernel == COSINE_KERNEL:
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 *         tmp = 2. / PI
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 */
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 *         for k in range(1, d + 1, 2):
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    /* "sklearn/neighbors/binary_tree.pxi":487
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    /* "sklearn/neighbors/binary_tree.pxi":483
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 *     elif kernel == COSINE_KERNEL:             # <<<<<<<<<<<<<<
 *         # this is derived from a chain rule integration
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 */
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 * cdef DTYPE_t _log_kernel_norm(DTYPE_t h, ITYPE_t d,             # <<<<<<<<<<<<<<
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/* "sklearn/neighbors/binary_tree.pxi":496
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 * 
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  /* "sklearn/neighbors/binary_tree.pxi":660
 *         return 0
 * 
 *     cdef int _sort(self) except -1:             # <<<<<<<<<<<<<<
 *         """simultaneously sort the distances and indices"""
 *         cdef DTYPE_t[:, ::1] distances = self.distances
 */

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/* "sklearn/neighbors/binary_tree.pxi":672
 * 
 * 
 * cdef int _simultaneous_sort(DTYPE_t* dist, ITYPE_t* idx,             # <<<<<<<<<<<<<<
 *                             ITYPE_t size) except -1:
 *     """
 */

static int __pyx_f_7sklearn_9neighbors_7kd_tree__simultaneous_sort(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_dist, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *__pyx_v_idx, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
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 *     # in the small-array case, do things efficiently
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 */
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  /* "sklearn/neighbors/binary_tree.pxi":689
 *     if size <= 1:
 *         pass
 *     elif size == 2:             # <<<<<<<<<<<<<<
 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)
 */
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    /* "sklearn/neighbors/binary_tree.pxi":690
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 *     elif size == 2:
 *         if dist[0] > dist[1]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 0, 1)
 *     elif size == 3:
 */
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 *     elif size == 2:
 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)             # <<<<<<<<<<<<<<
 *     elif size == 3:
 *         if dist[0] > dist[1]:
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 *     elif size == 2:
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 *             dual_swap(dist, idx, 0, 1)
 *     elif size == 3:
 */
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 *     elif size == 2:             # <<<<<<<<<<<<<<
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 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)
 *     elif size == 3:             # <<<<<<<<<<<<<<
 *         if dist[0] > dist[1]:
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 *     elif size == 3:
 *         if dist[0] > dist[1]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 0, 1)
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 */
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      /* "sklearn/neighbors/binary_tree.pxi":694
 *     elif size == 3:
 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)             # <<<<<<<<<<<<<<
 *         if dist[1] > dist[2]:
 *             dual_swap(dist, idx, 1, 2)
 */
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 *             dual_swap(dist, idx, 0, 1)
 *     elif size == 3:
 *         if dist[0] > dist[1]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 0, 1)
 *         if dist[1] > dist[2]:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":695
 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)
 *         if dist[1] > dist[2]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 1, 2)
 *             if dist[0] > dist[1]:
 */
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      /* "sklearn/neighbors/binary_tree.pxi":696
 *             dual_swap(dist, idx, 0, 1)
 *         if dist[1] > dist[2]:
 *             dual_swap(dist, idx, 1, 2)             # <<<<<<<<<<<<<<
 *             if dist[0] > dist[1]:
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 *         if dist[1] > dist[2]:
 *             dual_swap(dist, idx, 1, 2)
 *             if dist[0] > dist[1]:             # <<<<<<<<<<<<<<
 *                 dual_swap(dist, idx, 0, 1)
 *     else:
 */
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        /* "sklearn/neighbors/binary_tree.pxi":698
 *             dual_swap(dist, idx, 1, 2)
 *             if dist[0] > dist[1]:
 *                 dual_swap(dist, idx, 0, 1)             # <<<<<<<<<<<<<<
 *     else:
 *         # Determine the pivot using the median-of-three rule.
 */
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 *         if dist[1] > dist[2]:
 *             dual_swap(dist, idx, 1, 2)
 *             if dist[0] > dist[1]:             # <<<<<<<<<<<<<<
 *                 dual_swap(dist, idx, 0, 1)
 *     else:
 */
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      /* "sklearn/neighbors/binary_tree.pxi":695
 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)
 *         if dist[1] > dist[2]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 1, 2)
 *             if dist[0] > dist[1]:
 */
    }

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 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)
 *     elif size == 3:             # <<<<<<<<<<<<<<
 *         if dist[0] > dist[1]:
 *             dual_swap(dist, idx, 0, 1)
 */
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 *         # the middle (the pivot value) is moved to the end, and the largest
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 *         pivot_idx = size / 2             # <<<<<<<<<<<<<<
 *         if dist[0] > dist[size - 1]:
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 *         if dist[0] > dist[size - 1]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 0, size - 1)
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 */
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      /* "sklearn/neighbors/binary_tree.pxi":706
 *         pivot_idx = size / 2
 *         if dist[0] > dist[size - 1]:
 *             dual_swap(dist, idx, 0, size - 1)             # <<<<<<<<<<<<<<
 *         if dist[size - 1] > dist[pivot_idx]:
 *             dual_swap(dist, idx, size - 1, pivot_idx)
 */
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      /* "sklearn/neighbors/binary_tree.pxi":705
 *         # is moved to the pivot index.
 *         pivot_idx = size / 2
 *         if dist[0] > dist[size - 1]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, 0, size - 1)
 *         if dist[size - 1] > dist[pivot_idx]:
 */
    }

    /* "sklearn/neighbors/binary_tree.pxi":707
 *         if dist[0] > dist[size - 1]:
 *             dual_swap(dist, idx, 0, size - 1)
 *         if dist[size - 1] > dist[pivot_idx]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, size - 1, pivot_idx)
 *             if dist[0] > dist[size - 1]:
 */
    __pyx_t_1 = (((__pyx_v_dist[(__pyx_v_size - 1)]) > (__pyx_v_dist[__pyx_v_pivot_idx])) != 0);
    if (__pyx_t_1) {

      /* "sklearn/neighbors/binary_tree.pxi":708
 *             dual_swap(dist, idx, 0, size - 1)
 *         if dist[size - 1] > dist[pivot_idx]:
 *             dual_swap(dist, idx, size - 1, pivot_idx)             # <<<<<<<<<<<<<<
 *             if dist[0] > dist[size - 1]:
 *                 dual_swap(dist, idx, 0, size - 1)
 */
      __pyx_f_7sklearn_9neighbors_7kd_tree_dual_swap(__pyx_v_dist, __pyx_v_idx, (__pyx_v_size - 1), __pyx_v_pivot_idx);

      /* "sklearn/neighbors/binary_tree.pxi":709
 *         if dist[size - 1] > dist[pivot_idx]:
 *             dual_swap(dist, idx, size - 1, pivot_idx)
 *             if dist[0] > dist[size - 1]:             # <<<<<<<<<<<<<<
 *                 dual_swap(dist, idx, 0, size - 1)
 *         pivot_val = dist[size - 1]
 */
      __pyx_t_1 = (((__pyx_v_dist[0]) > (__pyx_v_dist[(__pyx_v_size - 1)])) != 0);
      if (__pyx_t_1) {

        /* "sklearn/neighbors/binary_tree.pxi":710
 *             dual_swap(dist, idx, size - 1, pivot_idx)
 *             if dist[0] > dist[size - 1]:
 *                 dual_swap(dist, idx, 0, size - 1)             # <<<<<<<<<<<<<<
 *         pivot_val = dist[size - 1]
 * 
 */
        __pyx_f_7sklearn_9neighbors_7kd_tree_dual_swap(__pyx_v_dist, __pyx_v_idx, 0, (__pyx_v_size - 1));

        /* "sklearn/neighbors/binary_tree.pxi":709
 *         if dist[size - 1] > dist[pivot_idx]:
 *             dual_swap(dist, idx, size - 1, pivot_idx)
 *             if dist[0] > dist[size - 1]:             # <<<<<<<<<<<<<<
 *                 dual_swap(dist, idx, 0, size - 1)
 *         pivot_val = dist[size - 1]
 */
      }

      /* "sklearn/neighbors/binary_tree.pxi":707
 *         if dist[0] > dist[size - 1]:
 *             dual_swap(dist, idx, 0, size - 1)
 *         if dist[size - 1] > dist[pivot_idx]:             # <<<<<<<<<<<<<<
 *             dual_swap(dist, idx, size - 1, pivot_idx)
 *             if dist[0] > dist[size - 1]:
 */
    }

    /* "sklearn/neighbors/binary_tree.pxi":711
 *             if dist[0] > dist[size - 1]:
 *                 dual_swap(dist, idx, 0, size - 1)
 *         pivot_val = dist[size - 1]             # <<<<<<<<<<<<<<
 * 
 *         # partition indices about pivot.  At the end of this operation,
 */
    __pyx_v_pivot_val = (__pyx_v_dist[(__pyx_v_size - 1)]);

    /* "sklearn/neighbors/binary_tree.pxi":716
 *         # pivot_idx will contain the pivot value, everything to the left
 *         # will be smaller, and everything to the right will be larger.
 *         store_idx = 0             # <<<<<<<<<<<<<<
 *         for i in range(size - 1):
 *             if dist[i] < pivot_val:
 */
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    /* "sklearn/neighbors/binary_tree.pxi":717
 *         # will be smaller, and everything to the right will be larger.
 *         store_idx = 0
 *         for i in range(size - 1):             # <<<<<<<<<<<<<<
 *             if dist[i] < pivot_val:
 *                 dual_swap(dist, idx, i, store_idx)
 */
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      /* "sklearn/neighbors/binary_tree.pxi":718
 *         store_idx = 0
 *         for i in range(size - 1):
 *             if dist[i] < pivot_val:             # <<<<<<<<<<<<<<
 *                 dual_swap(dist, idx, i, store_idx)
 *                 store_idx += 1
 */
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        /* "sklearn/neighbors/binary_tree.pxi":719
 *         for i in range(size - 1):
 *             if dist[i] < pivot_val:
 *                 dual_swap(dist, idx, i, store_idx)             # <<<<<<<<<<<<<<
 *                 store_idx += 1
 *         dual_swap(dist, idx, store_idx, size - 1)
 */
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        /* "sklearn/neighbors/binary_tree.pxi":720
 *             if dist[i] < pivot_val:
 *                 dual_swap(dist, idx, i, store_idx)
 *                 store_idx += 1             # <<<<<<<<<<<<<<
 *         dual_swap(dist, idx, store_idx, size - 1)
 *         pivot_idx = store_idx
 */
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        /* "sklearn/neighbors/binary_tree.pxi":718
 *         store_idx = 0
 *         for i in range(size - 1):
 *             if dist[i] < pivot_val:             # <<<<<<<<<<<<<<
 *                 dual_swap(dist, idx, i, store_idx)
 *                 store_idx += 1
 */
      }
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    /* "sklearn/neighbors/binary_tree.pxi":721
 *                 dual_swap(dist, idx, i, store_idx)
 *                 store_idx += 1
 *         dual_swap(dist, idx, store_idx, size - 1)             # <<<<<<<<<<<<<<
 *         pivot_idx = store_idx
 * 
 */
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 *                 store_idx += 1
 *         dual_swap(dist, idx, store_idx, size - 1)
 *         pivot_idx = store_idx             # <<<<<<<<<<<<<<
 * 
 *         # recursively sort each side of the pivot
 */
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 * 
 *         # recursively sort each side of the pivot
 *         if pivot_idx > 1:             # <<<<<<<<<<<<<<
 *             _simultaneous_sort(dist, idx, pivot_idx)
 *         if pivot_idx + 2 < size:
 */
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 *         # recursively sort each side of the pivot
 *         if pivot_idx > 1:
 *             _simultaneous_sort(dist, idx, pivot_idx)             # <<<<<<<<<<<<<<
 *         if pivot_idx + 2 < size:
 *             _simultaneous_sort(dist + pivot_idx + 1,
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 * 
 *         # recursively sort each side of the pivot
 *         if pivot_idx > 1:             # <<<<<<<<<<<<<<
 *             _simultaneous_sort(dist, idx, pivot_idx)
 *         if pivot_idx + 2 < size:
 */
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 *         if pivot_idx > 1:
 *             _simultaneous_sort(dist, idx, pivot_idx)
 *         if pivot_idx + 2 < size:             # <<<<<<<<<<<<<<
 *             _simultaneous_sort(dist + pivot_idx + 1,
 *                                idx + pivot_idx + 1,
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 *             _simultaneous_sort(dist, idx, pivot_idx)
 *         if pivot_idx + 2 < size:
 *             _simultaneous_sort(dist + pivot_idx + 1,             # <<<<<<<<<<<<<<
 *                                idx + pivot_idx + 1,
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        if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1756, __pyx_L1_error)}
        __pyx_t_11 = __pyx_v_i;
        __pyx_t_12 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NeighborsHeap *)__pyx_v_heap->__pyx_vtab)->_push(__pyx_v_heap, __pyx_v_i_pt, __pyx_v_dist_pt, (*((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) __pyx_v_self->idx_array.data) + __pyx_t_11)) )))); if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 1756, __pyx_L1_error)

        /* "sklearn/neighbors/binary_tree.pxi":1755
 *                                      &self.data[self.idx_array[i], 0],
 *                                      self.data.shape[1])
 *                 if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                     heap._push(i_pt, dist_pt, self.idx_array[i])
 * 
 */
      }
    }

    /* "sklearn/neighbors/binary_tree.pxi":1749
 *         #------------------------------------------------------------
 *         # Case 2: this is a leaf node.  Update set of nearby points
 *         elif node_info.is_leaf:             # <<<<<<<<<<<<<<
 *             self.n_leaves += 1
 *             for i in range(node_info.idx_start, node_info.idx_end):
 */
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":1762
 *         #         starting with the closest
 *         else:
 *             self.n_splits += 1             # <<<<<<<<<<<<<<
 *             i1 = 2 * i_node + 1
 *             i2 = i1 + 1
 */
  /*else*/ {
    __pyx_v_self->n_splits = (__pyx_v_self->n_splits + 1);

    /* "sklearn/neighbors/binary_tree.pxi":1763
 *         else:
 *             self.n_splits += 1
 *             i1 = 2 * i_node + 1             # <<<<<<<<<<<<<<
 *             i2 = i1 + 1
 *             reduced_dist_LB_1 = min_rdist(self, i1, pt)
 */
    __pyx_v_i1 = ((2 * __pyx_v_i_node) + 1);

    /* "sklearn/neighbors/binary_tree.pxi":1764
 *             self.n_splits += 1
 *             i1 = 2 * i_node + 1
 *             i2 = i1 + 1             # <<<<<<<<<<<<<<
 *             reduced_dist_LB_1 = min_rdist(self, i1, pt)
 *             reduced_dist_LB_2 = min_rdist(self, i2, pt)
 */
    __pyx_v_i2 = (__pyx_v_i1 + 1);

    /* "sklearn/neighbors/binary_tree.pxi":1765
 *             i1 = 2 * i_node + 1
 *             i2 = i1 + 1
 *             reduced_dist_LB_1 = min_rdist(self, i1, pt)             # <<<<<<<<<<<<<<
 *             reduced_dist_LB_2 = min_rdist(self, i2, pt)
 * 
 */
    __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist(__pyx_v_self, __pyx_v_i1, __pyx_v_pt); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1765, __pyx_L1_error)
    __pyx_v_reduced_dist_LB_1 = __pyx_t_4;

    /* "sklearn/neighbors/binary_tree.pxi":1766
 *             i2 = i1 + 1
 *             reduced_dist_LB_1 = min_rdist(self, i1, pt)
 *             reduced_dist_LB_2 = min_rdist(self, i2, pt)             # <<<<<<<<<<<<<<
 * 
 *             # recursively query subnodes
 */
    __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist(__pyx_v_self, __pyx_v_i2, __pyx_v_pt); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1766, __pyx_L1_error)
    __pyx_v_reduced_dist_LB_2 = __pyx_t_4;

    /* "sklearn/neighbors/binary_tree.pxi":1769
 * 
 *             # recursively query subnodes
 *             if reduced_dist_LB_1 <= reduced_dist_LB_2:             # <<<<<<<<<<<<<<
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,
 *                                               reduced_dist_LB_1)
 */
    __pyx_t_5 = ((__pyx_v_reduced_dist_LB_1 <= __pyx_v_reduced_dist_LB_2) != 0);
    if (__pyx_t_5) {

      /* "sklearn/neighbors/binary_tree.pxi":1770
 *             # recursively query subnodes
 *             if reduced_dist_LB_1 <= reduced_dist_LB_2:
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,             # <<<<<<<<<<<<<<
 *                                               reduced_dist_LB_1)
 *                 self._query_single_depthfirst(i2, pt, i_pt, heap,
 */
      __pyx_t_12 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_single_depthfirst(__pyx_v_self, __pyx_v_i1, __pyx_v_pt, __pyx_v_i_pt, __pyx_v_heap, __pyx_v_reduced_dist_LB_1); if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 1770, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1772
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,
 *                                               reduced_dist_LB_1)
 *                 self._query_single_depthfirst(i2, pt, i_pt, heap,             # <<<<<<<<<<<<<<
 *                                               reduced_dist_LB_2)
 *             else:
 */
      __pyx_t_12 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_single_depthfirst(__pyx_v_self, __pyx_v_i2, __pyx_v_pt, __pyx_v_i_pt, __pyx_v_heap, __pyx_v_reduced_dist_LB_2); if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 1772, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1769
 * 
 *             # recursively query subnodes
 *             if reduced_dist_LB_1 <= reduced_dist_LB_2:             # <<<<<<<<<<<<<<
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,
 *                                               reduced_dist_LB_1)
 */
      goto __pyx_L7;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1775
 *                                               reduced_dist_LB_2)
 *             else:
 *                 self._query_single_depthfirst(i2, pt, i_pt, heap,             # <<<<<<<<<<<<<<
 *                                               reduced_dist_LB_2)
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,
 */
    /*else*/ {

      /* "sklearn/neighbors/binary_tree.pxi":1776
 *             else:
 *                 self._query_single_depthfirst(i2, pt, i_pt, heap,
 *                                               reduced_dist_LB_2)             # <<<<<<<<<<<<<<
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,
 *                                               reduced_dist_LB_1)
 */
      __pyx_t_12 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_single_depthfirst(__pyx_v_self, __pyx_v_i2, __pyx_v_pt, __pyx_v_i_pt, __pyx_v_heap, __pyx_v_reduced_dist_LB_2); if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 1775, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1777
 *                 self._query_single_depthfirst(i2, pt, i_pt, heap,
 *                                               reduced_dist_LB_2)
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,             # <<<<<<<<<<<<<<
 *                                               reduced_dist_LB_1)
 *         return 0
 */
      __pyx_t_12 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_single_depthfirst(__pyx_v_self, __pyx_v_i1, __pyx_v_pt, __pyx_v_i_pt, __pyx_v_heap, __pyx_v_reduced_dist_LB_1); if (unlikely(__pyx_t_12 == -1)) __PYX_ERR(0, 1777, __pyx_L1_error)
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    __pyx_L7:;
  }
  __pyx_L3:;

  /* "sklearn/neighbors/binary_tree.pxi":1779
 *                 self._query_single_depthfirst(i1, pt, i_pt, heap,
 *                                               reduced_dist_LB_1)
 *         return 0             # <<<<<<<<<<<<<<
 * 
 *     cdef int _query_single_breadthfirst(self, DTYPE_t* pt,
 */
  __pyx_r = 0;
  goto __pyx_L0;

  /* "sklearn/neighbors/binary_tree.pxi":1729
 *         return count
 * 
 *     cdef int _query_single_depthfirst(self, ITYPE_t i_node,             # <<<<<<<<<<<<<<
 *                                       DTYPE_t* pt, ITYPE_t i_pt,
 *                                       NeighborsHeap heap,
 */

  /* function exit code */
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/* "sklearn/neighbors/binary_tree.pxi":1781
 *         return 0
 * 
 *     cdef int _query_single_breadthfirst(self, DTYPE_t* pt,             # <<<<<<<<<<<<<<
 *                                         ITYPE_t i_pt,
 *                                         NeighborsHeap heap,
 */

static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_single_breadthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_pt, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_heap, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *__pyx_v_nodeheap) {
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_dist_pt;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_reduced_dist_LB;
  struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *__pyx_v_node_data;
  CYTHON_UNUSED __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_data;
  struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t __pyx_v_nodeheap_item;
  CYTHON_UNUSED struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t __pyx_v_node_info;
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  Py_ssize_t __pyx_t_1;
  Py_ssize_t __pyx_t_2;
  Py_ssize_t __pyx_t_3;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_t_4;
  int __pyx_t_5;
  int __pyx_t_6;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_t_7;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_t_8;
  Py_ssize_t __pyx_t_9;
  Py_ssize_t __pyx_t_10;
  Py_ssize_t __pyx_t_11;
  Py_ssize_t __pyx_t_12;
  long __pyx_t_13;
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  /* "sklearn/neighbors/binary_tree.pxi":1788
 *         cdef ITYPE_t i, i_node
 *         cdef DTYPE_t dist_pt, reduced_dist_LB
 *         cdef NodeData_t* node_data = &self.node_data[0]             # <<<<<<<<<<<<<<
 *         cdef DTYPE_t* data = &self.data[0, 0]
 * 
 */
  if (unlikely(!__pyx_v_self->node_data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1788, __pyx_L1_error)}
  __pyx_t_1 = 0;
  __pyx_v_node_data = (&(*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_1)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":1789
 *         cdef DTYPE_t dist_pt, reduced_dist_LB
 *         cdef NodeData_t* node_data = &self.node_data[0]
 *         cdef DTYPE_t* data = &self.data[0, 0]             # <<<<<<<<<<<<<<
 * 
 *         # Set up the node heap and push the head node onto it
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1789, __pyx_L1_error)}
  __pyx_t_2 = 0;
  __pyx_t_3 = 0;
  __pyx_v_data = (&(*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ (__pyx_v_self->data.data + __pyx_t_2 * __pyx_v_self->data.strides[0]) )) + __pyx_t_3)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":1793
 *         # Set up the node heap and push the head node onto it
 *         cdef NodeHeapData_t nodeheap_item
 *         nodeheap_item.val = min_rdist(self, 0, pt)             # <<<<<<<<<<<<<<
 *         nodeheap_item.i1 = 0
 *         nodeheap.push(nodeheap_item)
 */
  __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist(__pyx_v_self, 0, __pyx_v_pt); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1793, __pyx_L1_error)
  __pyx_v_nodeheap_item.val = __pyx_t_4;

  /* "sklearn/neighbors/binary_tree.pxi":1794
 *         cdef NodeHeapData_t nodeheap_item
 *         nodeheap_item.val = min_rdist(self, 0, pt)
 *         nodeheap_item.i1 = 0             # <<<<<<<<<<<<<<
 *         nodeheap.push(nodeheap_item)
 * 
 */
  __pyx_v_nodeheap_item.i1 = 0;

  /* "sklearn/neighbors/binary_tree.pxi":1795
 *         nodeheap_item.val = min_rdist(self, 0, pt)
 *         nodeheap_item.i1 = 0
 *         nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 * 
 *         while nodeheap.n > 0:
 */
  __pyx_t_5 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *)__pyx_v_nodeheap->__pyx_vtab)->push(__pyx_v_nodeheap, __pyx_v_nodeheap_item); if (unlikely(__pyx_t_5 == -1)) __PYX_ERR(0, 1795, __pyx_L1_error)

  /* "sklearn/neighbors/binary_tree.pxi":1797
 *         nodeheap.push(nodeheap_item)
 * 
 *         while nodeheap.n > 0:             # <<<<<<<<<<<<<<
 *             nodeheap_item = nodeheap.pop()
 *             reduced_dist_LB = nodeheap_item.val
 */
  while (1) {
    __pyx_t_6 = ((__pyx_v_nodeheap->n > 0) != 0);
    if (!__pyx_t_6) break;

    /* "sklearn/neighbors/binary_tree.pxi":1798
 * 
 *         while nodeheap.n > 0:
 *             nodeheap_item = nodeheap.pop()             # <<<<<<<<<<<<<<
 *             reduced_dist_LB = nodeheap_item.val
 *             i_node = nodeheap_item.i1
 */
    __pyx_v_nodeheap_item = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *)__pyx_v_nodeheap->__pyx_vtab)->pop(__pyx_v_nodeheap);

    /* "sklearn/neighbors/binary_tree.pxi":1799
 *         while nodeheap.n > 0:
 *             nodeheap_item = nodeheap.pop()
 *             reduced_dist_LB = nodeheap_item.val             # <<<<<<<<<<<<<<
 *             i_node = nodeheap_item.i1
 *             node_info = node_data[i_node]
 */
    __pyx_t_4 = __pyx_v_nodeheap_item.val;
    __pyx_v_reduced_dist_LB = __pyx_t_4;

    /* "sklearn/neighbors/binary_tree.pxi":1800
 *             nodeheap_item = nodeheap.pop()
 *             reduced_dist_LB = nodeheap_item.val
 *             i_node = nodeheap_item.i1             # <<<<<<<<<<<<<<
 *             node_info = node_data[i_node]
 * 
 */
    __pyx_t_7 = __pyx_v_nodeheap_item.i1;
    __pyx_v_i_node = __pyx_t_7;

    /* "sklearn/neighbors/binary_tree.pxi":1801
 *             reduced_dist_LB = nodeheap_item.val
 *             i_node = nodeheap_item.i1
 *             node_info = node_data[i_node]             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
 */
    __pyx_v_node_info = (__pyx_v_node_data[__pyx_v_i_node]);

    /* "sklearn/neighbors/binary_tree.pxi":1806
 *             # Case 1: query point is outside node radius:
 *             #         trim it from the query
 *             if reduced_dist_LB > heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                 self.n_trims += 1
 * 
 */
    __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(__pyx_v_heap, __pyx_v_i_pt); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1806, __pyx_L1_error)
    __pyx_t_6 = ((__pyx_v_reduced_dist_LB > __pyx_t_4) != 0);
    if (__pyx_t_6) {

      /* "sklearn/neighbors/binary_tree.pxi":1807
 *             #         trim it from the query
 *             if reduced_dist_LB > heap.largest(i_pt):
 *                 self.n_trims += 1             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
 */
      __pyx_v_self->n_trims = (__pyx_v_self->n_trims + 1);

      /* "sklearn/neighbors/binary_tree.pxi":1806
 *             # Case 1: query point is outside node radius:
 *             #         trim it from the query
 *             if reduced_dist_LB > heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                 self.n_trims += 1
 * 
 */
      goto __pyx_L5;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1811
 *             #------------------------------------------------------------
 *             # Case 2: this is a leaf node.  Update set of nearby points
 *             elif node_data[i_node].is_leaf:             # <<<<<<<<<<<<<<
 *                 self.n_leaves += 1
 *                 for i in range(node_data[i_node].idx_start,
 */
    __pyx_t_6 = ((__pyx_v_node_data[__pyx_v_i_node]).is_leaf != 0);
    if (__pyx_t_6) {

      /* "sklearn/neighbors/binary_tree.pxi":1812
 *             # Case 2: this is a leaf node.  Update set of nearby points
 *             elif node_data[i_node].is_leaf:
 *                 self.n_leaves += 1             # <<<<<<<<<<<<<<
 *                 for i in range(node_data[i_node].idx_start,
 *                                node_data[i_node].idx_end):
 */
      __pyx_v_self->n_leaves = (__pyx_v_self->n_leaves + 1);

      /* "sklearn/neighbors/binary_tree.pxi":1814
 *                 self.n_leaves += 1
 *                 for i in range(node_data[i_node].idx_start,
 *                                node_data[i_node].idx_end):             # <<<<<<<<<<<<<<
 *                     dist_pt = self.rdist(pt,
 *                                          &self.data[self.idx_array[i], 0],
 */
      __pyx_t_7 = (__pyx_v_node_data[__pyx_v_i_node]).idx_end;

      /* "sklearn/neighbors/binary_tree.pxi":1813
 *             elif node_data[i_node].is_leaf:
 *                 self.n_leaves += 1
 *                 for i in range(node_data[i_node].idx_start,             # <<<<<<<<<<<<<<
 *                                node_data[i_node].idx_end):
 *                     dist_pt = self.rdist(pt,
 */
      for (__pyx_t_8 = (__pyx_v_node_data[__pyx_v_i_node]).idx_start; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
        __pyx_v_i = __pyx_t_8;

        /* "sklearn/neighbors/binary_tree.pxi":1816
 *                                node_data[i_node].idx_end):
 *                     dist_pt = self.rdist(pt,
 *                                          &self.data[self.idx_array[i], 0],             # <<<<<<<<<<<<<<
 *                                          self.data.shape[1])
 *                     if dist_pt < heap.largest(i_pt):
 */
        if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1816, __pyx_L1_error)}
        if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1816, __pyx_L1_error)}
        __pyx_t_9 = __pyx_v_i;
        __pyx_t_10 = (*((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) __pyx_v_self->idx_array.data) + __pyx_t_9)) )));
        __pyx_t_11 = 0;

        /* "sklearn/neighbors/binary_tree.pxi":1817
 *                     dist_pt = self.rdist(pt,
 *                                          &self.data[self.idx_array[i], 0],
 *                                          self.data.shape[1])             # <<<<<<<<<<<<<<
 *                     if dist_pt < heap.largest(i_pt):
 *                         heap._push(i_pt, dist_pt, self.idx_array[i])
 */
        if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1817, __pyx_L1_error)}

        /* "sklearn/neighbors/binary_tree.pxi":1815
 *                 for i in range(node_data[i_node].idx_start,
 *                                node_data[i_node].idx_end):
 *                     dist_pt = self.rdist(pt,             # <<<<<<<<<<<<<<
 *                                          &self.data[self.idx_array[i], 0],
 *                                          self.data.shape[1])
 */
        __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_rdist(__pyx_v_self, __pyx_v_pt, (&(*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ (__pyx_v_self->data.data + __pyx_t_10 * __pyx_v_self->data.strides[0]) )) + __pyx_t_11)) )))), (__pyx_v_self->data.shape[1])); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1815, __pyx_L1_error)
        __pyx_v_dist_pt = __pyx_t_4;

        /* "sklearn/neighbors/binary_tree.pxi":1818
 *                                          &self.data[self.idx_array[i], 0],
 *                                          self.data.shape[1])
 *                     if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                         heap._push(i_pt, dist_pt, self.idx_array[i])
 * 
 */
        __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(__pyx_v_heap, __pyx_v_i_pt); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1818, __pyx_L1_error)
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        if (__pyx_t_6) {

          /* "sklearn/neighbors/binary_tree.pxi":1819
 *                                          self.data.shape[1])
 *                     if dist_pt < heap.largest(i_pt):
 *                         heap._push(i_pt, dist_pt, self.idx_array[i])             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
 */
          if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1819, __pyx_L1_error)}
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          /* "sklearn/neighbors/binary_tree.pxi":1818
 *                                          &self.data[self.idx_array[i], 0],
 *                                          self.data.shape[1])
 *                     if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                         heap._push(i_pt, dist_pt, self.idx_array[i])
 * 
 */
        }
      }

      /* "sklearn/neighbors/binary_tree.pxi":1811
 *             #------------------------------------------------------------
 *             # Case 2: this is a leaf node.  Update set of nearby points
 *             elif node_data[i_node].is_leaf:             # <<<<<<<<<<<<<<
 *                 self.n_leaves += 1
 *                 for i in range(node_data[i_node].idx_start,
 */
      goto __pyx_L5;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1824
 *             # Case 3: Node is not a leaf.  Add subnodes to the node heap
 *             else:
 *                 self.n_splits += 1             # <<<<<<<<<<<<<<
 *                 for i in range(2 * i_node + 1, 2 * i_node + 3):
 *                     nodeheap_item.i1 = i
 */
    /*else*/ {
      __pyx_v_self->n_splits = (__pyx_v_self->n_splits + 1);

      /* "sklearn/neighbors/binary_tree.pxi":1825
 *             else:
 *                 self.n_splits += 1
 *                 for i in range(2 * i_node + 1, 2 * i_node + 3):             # <<<<<<<<<<<<<<
 *                     nodeheap_item.i1 = i
 *                     nodeheap_item.val = min_rdist(self, i, pt)
 */
      __pyx_t_13 = ((2 * __pyx_v_i_node) + 3);
      for (__pyx_t_7 = ((2 * __pyx_v_i_node) + 1); __pyx_t_7 < __pyx_t_13; __pyx_t_7+=1) {
        __pyx_v_i = __pyx_t_7;

        /* "sklearn/neighbors/binary_tree.pxi":1826
 *                 self.n_splits += 1
 *                 for i in range(2 * i_node + 1, 2 * i_node + 3):
 *                     nodeheap_item.i1 = i             # <<<<<<<<<<<<<<
 *                     nodeheap_item.val = min_rdist(self, i, pt)
 *                     nodeheap.push(nodeheap_item)
 */
        __pyx_v_nodeheap_item.i1 = __pyx_v_i;

        /* "sklearn/neighbors/binary_tree.pxi":1827
 *                 for i in range(2 * i_node + 1, 2 * i_node + 3):
 *                     nodeheap_item.i1 = i
 *                     nodeheap_item.val = min_rdist(self, i, pt)             # <<<<<<<<<<<<<<
 *                     nodeheap.push(nodeheap_item)
 *         return 0
 */
        __pyx_t_4 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist(__pyx_v_self, __pyx_v_i, __pyx_v_pt); if (unlikely(__pyx_t_4 == -1.0)) __PYX_ERR(0, 1827, __pyx_L1_error)
        __pyx_v_nodeheap_item.val = __pyx_t_4;

        /* "sklearn/neighbors/binary_tree.pxi":1828
 *                     nodeheap_item.i1 = i
 *                     nodeheap_item.val = min_rdist(self, i, pt)
 *                     nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 *         return 0
 * 
 */
        __pyx_t_5 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *)__pyx_v_nodeheap->__pyx_vtab)->push(__pyx_v_nodeheap, __pyx_v_nodeheap_item); if (unlikely(__pyx_t_5 == -1)) __PYX_ERR(0, 1828, __pyx_L1_error)
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  /* "sklearn/neighbors/binary_tree.pxi":1829
 *                     nodeheap_item.val = min_rdist(self, i, pt)
 *                     nodeheap.push(nodeheap_item)
 *         return 0             # <<<<<<<<<<<<<<
 * 
 *     cdef int _query_dual_depthfirst(self, ITYPE_t i_node1,
 */
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  goto __pyx_L0;

  /* "sklearn/neighbors/binary_tree.pxi":1781
 *         return 0
 * 
 *     cdef int _query_single_breadthfirst(self, DTYPE_t* pt,             # <<<<<<<<<<<<<<
 *                                         ITYPE_t i_pt,
 *                                         NeighborsHeap heap,
 */

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/* "sklearn/neighbors/binary_tree.pxi":1831
 *         return 0
 * 
 *     cdef int _query_dual_depthfirst(self, ITYPE_t i_node1,             # <<<<<<<<<<<<<<
 *                                     BinaryTree other, ITYPE_t i_node2,
 *                                     DTYPE_t[::1] bounds,
 */

static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_dual_depthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node1, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_other, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node2, __Pyx_memviewslice __pyx_v_bounds, struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *__pyx_v_heap, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_reduced_dist_LB) {
  struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t __pyx_v_node_info1;
  struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t __pyx_v_node_info2;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_data1;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_data2;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_n_features;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_bound_max;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_dist_pt;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_reduced_dist_LB1;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_reduced_dist_LB2;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i1;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i2;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_pt;
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  Py_ssize_t __pyx_t_5;
  Py_ssize_t __pyx_t_6;
  Py_ssize_t __pyx_t_7;
  int __pyx_t_8;
  int __pyx_t_9;
  Py_ssize_t __pyx_t_10;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_t_11;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_t_12;
  Py_ssize_t __pyx_t_13;
  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_t_14;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_t_15;
  __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_t_16;
  Py_ssize_t __pyx_t_17;
  Py_ssize_t __pyx_t_18;
  int __pyx_t_19;
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  Py_ssize_t __pyx_t_21;
  Py_ssize_t __pyx_t_22;
  Py_ssize_t __pyx_t_23;
  Py_ssize_t __pyx_t_24;
  Py_ssize_t __pyx_t_25;
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  /* "sklearn/neighbors/binary_tree.pxi":1840
 *         # bounds[i] is the largest distance among any of the
 *         # current neighbors in node i of the other tree.
 *         cdef NodeData_t node_info1 = self.node_data[i_node1]             # <<<<<<<<<<<<<<
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]
 * 
 */
  if (unlikely(!__pyx_v_self->node_data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1840, __pyx_L1_error)}
  __pyx_t_1 = __pyx_v_i_node1;
  __pyx_v_node_info1 = (*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_1)) )));

  /* "sklearn/neighbors/binary_tree.pxi":1841
 *         # current neighbors in node i of the other tree.
 *         cdef NodeData_t node_info1 = self.node_data[i_node1]
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]             # <<<<<<<<<<<<<<
 * 
 *         cdef DTYPE_t* data1 = &self.data[0, 0]
 */
  if (unlikely(!__pyx_v_other->node_data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1841, __pyx_L1_error)}
  __pyx_t_2 = __pyx_v_i_node2;
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  /* "sklearn/neighbors/binary_tree.pxi":1843
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]
 * 
 *         cdef DTYPE_t* data1 = &self.data[0, 0]             # <<<<<<<<<<<<<<
 *         cdef DTYPE_t* data2 = &other.data[0, 0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1843, __pyx_L1_error)}
  __pyx_t_3 = 0;
  __pyx_t_4 = 0;
  __pyx_v_data1 = (&(*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ (__pyx_v_self->data.data + __pyx_t_3 * __pyx_v_self->data.strides[0]) )) + __pyx_t_4)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":1844
 * 
 *         cdef DTYPE_t* data1 = &self.data[0, 0]
 *         cdef DTYPE_t* data2 = &other.data[0, 0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t n_features = self.data.shape[1]
 * 
 */
  if (unlikely(!__pyx_v_other->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1844, __pyx_L1_error)}
  __pyx_t_5 = 0;
  __pyx_t_6 = 0;
  __pyx_v_data2 = (&(*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ (__pyx_v_other->data.data + __pyx_t_5 * __pyx_v_other->data.strides[0]) )) + __pyx_t_6)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":1845
 *         cdef DTYPE_t* data1 = &self.data[0, 0]
 *         cdef DTYPE_t* data2 = &other.data[0, 0]
 *         cdef ITYPE_t n_features = self.data.shape[1]             # <<<<<<<<<<<<<<
 * 
 *         cdef DTYPE_t bound_max, dist_pt, reduced_dist_LB1, reduced_dist_LB2
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1845, __pyx_L1_error)}
  __pyx_v_n_features = (__pyx_v_self->data.shape[1]);

  /* "sklearn/neighbors/binary_tree.pxi":1853
 *         # Case 1: nodes are further apart than the current bound:
 *         #         trim both from the query
 *         if reduced_dist_LB > bounds[i_node2]:             # <<<<<<<<<<<<<<
 *             pass
 * 
 */
  __pyx_t_7 = __pyx_v_i_node2;
  __pyx_t_8 = ((__pyx_v_reduced_dist_LB > (*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_7)) )))) != 0);
  if (__pyx_t_8) {
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":1859
 *         # Case 2: both nodes are leaves:
 *         #         do a brute-force search comparing all pairs
 *         elif node_info1.is_leaf and node_info2.is_leaf:             # <<<<<<<<<<<<<<
 *             bounds[i_node2] = 0
 * 
 */
  __pyx_t_9 = (__pyx_v_node_info1.is_leaf != 0);
  if (__pyx_t_9) {
  } else {
    __pyx_t_8 = __pyx_t_9;
    goto __pyx_L4_bool_binop_done;
  }
  __pyx_t_9 = (__pyx_v_node_info2.is_leaf != 0);
  __pyx_t_8 = __pyx_t_9;
  __pyx_L4_bool_binop_done:;
  if (__pyx_t_8) {

    /* "sklearn/neighbors/binary_tree.pxi":1860
 *         #         do a brute-force search comparing all pairs
 *         elif node_info1.is_leaf and node_info2.is_leaf:
 *             bounds[i_node2] = 0             # <<<<<<<<<<<<<<
 * 
 *             for i2 in range(node_info2.idx_start, node_info2.idx_end):
 */
    __pyx_t_10 = __pyx_v_i_node2;
    *((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_10)) )) = 0.0;

    /* "sklearn/neighbors/binary_tree.pxi":1862
 *             bounds[i_node2] = 0
 * 
 *             for i2 in range(node_info2.idx_start, node_info2.idx_end):             # <<<<<<<<<<<<<<
 *                 i_pt = other.idx_array[i2]
 * 
 */
    __pyx_t_11 = __pyx_v_node_info2.idx_end;
    for (__pyx_t_12 = __pyx_v_node_info2.idx_start; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {
      __pyx_v_i2 = __pyx_t_12;

      /* "sklearn/neighbors/binary_tree.pxi":1863
 * 
 *             for i2 in range(node_info2.idx_start, node_info2.idx_end):
 *                 i_pt = other.idx_array[i2]             # <<<<<<<<<<<<<<
 * 
 *                 if heap.largest(i_pt) <= reduced_dist_LB:
 */
      if (unlikely(!__pyx_v_other->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1863, __pyx_L1_error)}
      __pyx_t_13 = __pyx_v_i2;
      __pyx_v_i_pt = (*((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) __pyx_v_other->idx_array.data) + __pyx_t_13)) )));

      /* "sklearn/neighbors/binary_tree.pxi":1865
 *                 i_pt = other.idx_array[i2]
 * 
 *                 if heap.largest(i_pt) <= reduced_dist_LB:             # <<<<<<<<<<<<<<
 *                     continue
 * 
 */
      __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(__pyx_v_heap, __pyx_v_i_pt); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1865, __pyx_L1_error)
      __pyx_t_8 = ((__pyx_t_14 <= __pyx_v_reduced_dist_LB) != 0);
      if (__pyx_t_8) {

        /* "sklearn/neighbors/binary_tree.pxi":1866
 * 
 *                 if heap.largest(i_pt) <= reduced_dist_LB:
 *                     continue             # <<<<<<<<<<<<<<
 * 
 *                 for i1 in range(node_info1.idx_start, node_info1.idx_end):
 */
        goto __pyx_L6_continue;

        /* "sklearn/neighbors/binary_tree.pxi":1865
 *                 i_pt = other.idx_array[i2]
 * 
 *                 if heap.largest(i_pt) <= reduced_dist_LB:             # <<<<<<<<<<<<<<
 *                     continue
 * 
 */
      }

      /* "sklearn/neighbors/binary_tree.pxi":1868
 *                     continue
 * 
 *                 for i1 in range(node_info1.idx_start, node_info1.idx_end):             # <<<<<<<<<<<<<<
 *                     dist_pt = self.rdist(
 *                         data1 + n_features * self.idx_array[i1],
 */
      __pyx_t_15 = __pyx_v_node_info1.idx_end;
      for (__pyx_t_16 = __pyx_v_node_info1.idx_start; __pyx_t_16 < __pyx_t_15; __pyx_t_16+=1) {
        __pyx_v_i1 = __pyx_t_16;

        /* "sklearn/neighbors/binary_tree.pxi":1870
 *                 for i1 in range(node_info1.idx_start, node_info1.idx_end):
 *                     dist_pt = self.rdist(
 *                         data1 + n_features * self.idx_array[i1],             # <<<<<<<<<<<<<<
 *                         data2 + n_features * i_pt,
 *                         n_features)
 */
        if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1870, __pyx_L1_error)}
        __pyx_t_17 = __pyx_v_i1;

        /* "sklearn/neighbors/binary_tree.pxi":1869
 * 
 *                 for i1 in range(node_info1.idx_start, node_info1.idx_end):
 *                     dist_pt = self.rdist(             # <<<<<<<<<<<<<<
 *                         data1 + n_features * self.idx_array[i1],
 *                         data2 + n_features * i_pt,
 */
        __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_rdist(__pyx_v_self, (__pyx_v_data1 + (__pyx_v_n_features * (*((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) __pyx_v_self->idx_array.data) + __pyx_t_17)) ))))), (__pyx_v_data2 + (__pyx_v_n_features * __pyx_v_i_pt)), __pyx_v_n_features); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1869, __pyx_L1_error)
        __pyx_v_dist_pt = __pyx_t_14;

        /* "sklearn/neighbors/binary_tree.pxi":1873
 *                         data2 + n_features * i_pt,
 *                         n_features)
 *                     if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                         heap._push(i_pt, dist_pt, self.idx_array[i1])
 * 
 */
        __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(__pyx_v_heap, __pyx_v_i_pt); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1873, __pyx_L1_error)
        __pyx_t_8 = ((__pyx_v_dist_pt < __pyx_t_14) != 0);
        if (__pyx_t_8) {

          /* "sklearn/neighbors/binary_tree.pxi":1874
 *                         n_features)
 *                     if dist_pt < heap.largest(i_pt):
 *                         heap._push(i_pt, dist_pt, self.idx_array[i1])             # <<<<<<<<<<<<<<
 * 
 *                 # keep track of node bound
 */
          if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1874, __pyx_L1_error)}
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          /* "sklearn/neighbors/binary_tree.pxi":1873
 *                         data2 + n_features * i_pt,
 *                         n_features)
 *                     if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                         heap._push(i_pt, dist_pt, self.idx_array[i1])
 * 
 */
        }
      }

      /* "sklearn/neighbors/binary_tree.pxi":1877
 * 
 *                 # keep track of node bound
 *                 bounds[i_node2] = fmax(bounds[i_node2],             # <<<<<<<<<<<<<<
 *                                        heap.largest(i_pt))
 * 
 */
      __pyx_t_20 = __pyx_v_i_node2;

      /* "sklearn/neighbors/binary_tree.pxi":1878
 *                 # keep track of node bound
 *                 bounds[i_node2] = fmax(bounds[i_node2],
 *                                        heap.largest(i_pt))             # <<<<<<<<<<<<<<
 * 
 *             # update bounds up the tree
 */
      __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(__pyx_v_heap, __pyx_v_i_pt); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1878, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1877
 * 
 *                 # keep track of node bound
 *                 bounds[i_node2] = fmax(bounds[i_node2],             # <<<<<<<<<<<<<<
 *                                        heap.largest(i_pt))
 * 
 */
      __pyx_t_21 = __pyx_v_i_node2;
      *((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_21)) )) = __pyx_f_7sklearn_9neighbors_7kd_tree_fmax((*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_20)) ))), __pyx_t_14);
      __pyx_L6_continue:;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1881
 * 
 *             # update bounds up the tree
 *             while i_node2 > 0:             # <<<<<<<<<<<<<<
 *                 i_parent = (i_node2 - 1) // 2
 *                 bound_max = fmax(bounds[2 * i_parent + 1],
 */
    while (1) {
      __pyx_t_8 = ((__pyx_v_i_node2 > 0) != 0);
      if (!__pyx_t_8) break;

      /* "sklearn/neighbors/binary_tree.pxi":1882
 *             # update bounds up the tree
 *             while i_node2 > 0:
 *                 i_parent = (i_node2 - 1) // 2             # <<<<<<<<<<<<<<
 *                 bound_max = fmax(bounds[2 * i_parent + 1],
 *                                  bounds[2 * i_parent + 2])
 */
      __pyx_v_i_parent = ((__pyx_v_i_node2 - 1) / 2);

      /* "sklearn/neighbors/binary_tree.pxi":1883
 *             while i_node2 > 0:
 *                 i_parent = (i_node2 - 1) // 2
 *                 bound_max = fmax(bounds[2 * i_parent + 1],             # <<<<<<<<<<<<<<
 *                                  bounds[2 * i_parent + 2])
 *                 if bound_max < bounds[i_parent]:
 */
      __pyx_t_22 = ((2 * __pyx_v_i_parent) + 1);

      /* "sklearn/neighbors/binary_tree.pxi":1884
 *                 i_parent = (i_node2 - 1) // 2
 *                 bound_max = fmax(bounds[2 * i_parent + 1],
 *                                  bounds[2 * i_parent + 2])             # <<<<<<<<<<<<<<
 *                 if bound_max < bounds[i_parent]:
 *                     bounds[i_parent] = bound_max
 */
      __pyx_t_23 = ((2 * __pyx_v_i_parent) + 2);

      /* "sklearn/neighbors/binary_tree.pxi":1883
 *             while i_node2 > 0:
 *                 i_parent = (i_node2 - 1) // 2
 *                 bound_max = fmax(bounds[2 * i_parent + 1],             # <<<<<<<<<<<<<<
 *                                  bounds[2 * i_parent + 2])
 *                 if bound_max < bounds[i_parent]:
 */
      __pyx_v_bound_max = __pyx_f_7sklearn_9neighbors_7kd_tree_fmax((*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_22)) ))), (*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_23)) ))));

      /* "sklearn/neighbors/binary_tree.pxi":1885
 *                 bound_max = fmax(bounds[2 * i_parent + 1],
 *                                  bounds[2 * i_parent + 2])
 *                 if bound_max < bounds[i_parent]:             # <<<<<<<<<<<<<<
 *                     bounds[i_parent] = bound_max
 *                     i_node2 = i_parent
 */
      __pyx_t_24 = __pyx_v_i_parent;
      __pyx_t_8 = ((__pyx_v_bound_max < (*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_24)) )))) != 0);
      if (__pyx_t_8) {

        /* "sklearn/neighbors/binary_tree.pxi":1886
 *                                  bounds[2 * i_parent + 2])
 *                 if bound_max < bounds[i_parent]:
 *                     bounds[i_parent] = bound_max             # <<<<<<<<<<<<<<
 *                     i_node2 = i_parent
 *                 else:
 */
        __pyx_t_25 = __pyx_v_i_parent;
        *((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_25)) )) = __pyx_v_bound_max;

        /* "sklearn/neighbors/binary_tree.pxi":1887
 *                 if bound_max < bounds[i_parent]:
 *                     bounds[i_parent] = bound_max
 *                     i_node2 = i_parent             # <<<<<<<<<<<<<<
 *                 else:
 *                     break
 */
        __pyx_v_i_node2 = __pyx_v_i_parent;

        /* "sklearn/neighbors/binary_tree.pxi":1885
 *                 bound_max = fmax(bounds[2 * i_parent + 1],
 *                                  bounds[2 * i_parent + 2])
 *                 if bound_max < bounds[i_parent]:             # <<<<<<<<<<<<<<
 *                     bounds[i_parent] = bound_max
 *                     i_node2 = i_parent
 */
        goto __pyx_L14;
      }

      /* "sklearn/neighbors/binary_tree.pxi":1889
 *                     i_node2 = i_parent
 *                 else:
 *                     break             # <<<<<<<<<<<<<<
 * 
 *         #------------------------------------------------------------
 */
      /*else*/ {
        goto __pyx_L13_break;
      }
      __pyx_L14:;
    }
    __pyx_L13_break:;

    /* "sklearn/neighbors/binary_tree.pxi":1859
 *         # Case 2: both nodes are leaves:
 *         #         do a brute-force search comparing all pairs
 *         elif node_info1.is_leaf and node_info2.is_leaf:             # <<<<<<<<<<<<<<
 *             bounds[i_node2] = 0
 * 
 */
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":1894
 *         # Case 3a: node 1 is a leaf or is smaller: split node 2 and
 *         #          recursively query, starting with the nearest subnode
 *         elif node_info1.is_leaf or (not node_info2.is_leaf             # <<<<<<<<<<<<<<
 *                                     and node_info2.radius > node_info1.radius):
 *             reduced_dist_LB1 = min_rdist_dual(self, i_node1,
 */
  __pyx_t_9 = (__pyx_v_node_info1.is_leaf != 0);
  if (!__pyx_t_9) {
  } else {
    __pyx_t_8 = __pyx_t_9;
    goto __pyx_L15_bool_binop_done;
  }

  /* "sklearn/neighbors/binary_tree.pxi":1895
 *         #          recursively query, starting with the nearest subnode
 *         elif node_info1.is_leaf or (not node_info2.is_leaf
 *                                     and node_info2.radius > node_info1.radius):             # <<<<<<<<<<<<<<
 *             reduced_dist_LB1 = min_rdist_dual(self, i_node1,
 *                                               other, 2 * i_node2 + 1)
 */
  __pyx_t_9 = ((!(__pyx_v_node_info2.is_leaf != 0)) != 0);
  if (__pyx_t_9) {
  } else {
    __pyx_t_8 = __pyx_t_9;
    goto __pyx_L15_bool_binop_done;
  }
  __pyx_t_9 = ((__pyx_v_node_info2.radius > __pyx_v_node_info1.radius) != 0);
  __pyx_t_8 = __pyx_t_9;
  __pyx_L15_bool_binop_done:;

  /* "sklearn/neighbors/binary_tree.pxi":1894
 *         # Case 3a: node 1 is a leaf or is smaller: split node 2 and
 *         #          recursively query, starting with the nearest subnode
 *         elif node_info1.is_leaf or (not node_info2.is_leaf             # <<<<<<<<<<<<<<
 *                                     and node_info2.radius > node_info1.radius):
 *             reduced_dist_LB1 = min_rdist_dual(self, i_node1,
 */
  if (__pyx_t_8) {

    /* "sklearn/neighbors/binary_tree.pxi":1896
 *         elif node_info1.is_leaf or (not node_info2.is_leaf
 *                                     and node_info2.radius > node_info1.radius):
 *             reduced_dist_LB1 = min_rdist_dual(self, i_node1,             # <<<<<<<<<<<<<<
 *                                               other, 2 * i_node2 + 1)
 *             reduced_dist_LB2 = min_rdist_dual(self, i_node1,
 */
    __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist_dual(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, ((2 * __pyx_v_i_node2) + 1)); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1896, __pyx_L1_error)
    __pyx_v_reduced_dist_LB1 = __pyx_t_14;

    /* "sklearn/neighbors/binary_tree.pxi":1898
 *             reduced_dist_LB1 = min_rdist_dual(self, i_node1,
 *                                               other, 2 * i_node2 + 1)
 *             reduced_dist_LB2 = min_rdist_dual(self, i_node1,             # <<<<<<<<<<<<<<
 *                                               other, 2 * i_node2 + 2)
 * 
 */
    __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist_dual(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, ((2 * __pyx_v_i_node2) + 2)); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1898, __pyx_L1_error)
    __pyx_v_reduced_dist_LB2 = __pyx_t_14;

    /* "sklearn/neighbors/binary_tree.pxi":1901
 *                                               other, 2 * i_node2 + 2)
 * 
 *             if reduced_dist_LB1 < reduced_dist_LB2:             # <<<<<<<<<<<<<<
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,
 *                                             bounds, heap, reduced_dist_LB1)
 */
    __pyx_t_8 = ((__pyx_v_reduced_dist_LB1 < __pyx_v_reduced_dist_LB2) != 0);
    if (__pyx_t_8) {

      /* "sklearn/neighbors/binary_tree.pxi":1902
 * 
 *             if reduced_dist_LB1 < reduced_dist_LB2:
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB1)
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 2,
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, ((2 * __pyx_v_i_node2) + 1), __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB1); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1902, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1904
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,
 *                                             bounds, heap, reduced_dist_LB1)
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 2,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB2)
 *             else:
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, ((2 * __pyx_v_i_node2) + 2), __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB2); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1904, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1901
 *                                               other, 2 * i_node2 + 2)
 * 
 *             if reduced_dist_LB1 < reduced_dist_LB2:             # <<<<<<<<<<<<<<
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,
 *                                             bounds, heap, reduced_dist_LB1)
 */
      goto __pyx_L18;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1907
 *                                             bounds, heap, reduced_dist_LB2)
 *             else:
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 2,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB2)
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,
 */
    /*else*/ {

      /* "sklearn/neighbors/binary_tree.pxi":1908
 *             else:
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 2,
 *                                             bounds, heap, reduced_dist_LB2)             # <<<<<<<<<<<<<<
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,
 *                                             bounds, heap, reduced_dist_LB1)
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, ((2 * __pyx_v_i_node2) + 2), __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB2); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1907, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1909
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 2,
 *                                             bounds, heap, reduced_dist_LB2)
 *                 self._query_dual_depthfirst(i_node1, other, 2 * i_node2 + 1,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB1)
 * 
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, ((2 * __pyx_v_i_node2) + 1), __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB1); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1909, __pyx_L1_error)
    }
    __pyx_L18:;

    /* "sklearn/neighbors/binary_tree.pxi":1894
 *         # Case 3a: node 1 is a leaf or is smaller: split node 2 and
 *         #          recursively query, starting with the nearest subnode
 *         elif node_info1.is_leaf or (not node_info2.is_leaf             # <<<<<<<<<<<<<<
 *                                     and node_info2.radius > node_info1.radius):
 *             reduced_dist_LB1 = min_rdist_dual(self, i_node1,
 */
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":1916
 *         #          recursively query, starting with the nearest subnode
 *         else:
 *             reduced_dist_LB1 = min_rdist_dual(self, 2 * i_node1 + 1,             # <<<<<<<<<<<<<<
 *                                               other, i_node2)
 *             reduced_dist_LB2 = min_rdist_dual(self, 2 * i_node1 + 2,
 */
  /*else*/ {

    /* "sklearn/neighbors/binary_tree.pxi":1917
 *         else:
 *             reduced_dist_LB1 = min_rdist_dual(self, 2 * i_node1 + 1,
 *                                               other, i_node2)             # <<<<<<<<<<<<<<
 *             reduced_dist_LB2 = min_rdist_dual(self, 2 * i_node1 + 2,
 *                                               other, i_node2)
 */
    __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist_dual(__pyx_v_self, ((2 * __pyx_v_i_node1) + 1), __pyx_v_other, __pyx_v_i_node2); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1916, __pyx_L1_error)
    __pyx_v_reduced_dist_LB1 = __pyx_t_14;

    /* "sklearn/neighbors/binary_tree.pxi":1918
 *             reduced_dist_LB1 = min_rdist_dual(self, 2 * i_node1 + 1,
 *                                               other, i_node2)
 *             reduced_dist_LB2 = min_rdist_dual(self, 2 * i_node1 + 2,             # <<<<<<<<<<<<<<
 *                                               other, i_node2)
 * 
 */
    __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_rdist_dual(__pyx_v_self, ((2 * __pyx_v_i_node1) + 2), __pyx_v_other, __pyx_v_i_node2); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1918, __pyx_L1_error)
    __pyx_v_reduced_dist_LB2 = __pyx_t_14;

    /* "sklearn/neighbors/binary_tree.pxi":1921
 *                                               other, i_node2)
 * 
 *             if reduced_dist_LB1 < reduced_dist_LB2:             # <<<<<<<<<<<<<<
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB1)
 */
    __pyx_t_8 = ((__pyx_v_reduced_dist_LB1 < __pyx_v_reduced_dist_LB2) != 0);
    if (__pyx_t_8) {

      /* "sklearn/neighbors/binary_tree.pxi":1922
 * 
 *             if reduced_dist_LB1 < reduced_dist_LB2:
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB1)
 *                 self._query_dual_depthfirst(2 * i_node1 + 2, other, i_node2,
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, ((2 * __pyx_v_i_node1) + 1), __pyx_v_other, __pyx_v_i_node2, __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB1); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1922, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1924
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB1)
 *                 self._query_dual_depthfirst(2 * i_node1 + 2, other, i_node2,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB2)
 *             else:
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, ((2 * __pyx_v_i_node1) + 2), __pyx_v_other, __pyx_v_i_node2, __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB2); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1924, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1921
 *                                               other, i_node2)
 * 
 *             if reduced_dist_LB1 < reduced_dist_LB2:             # <<<<<<<<<<<<<<
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB1)
 */
      goto __pyx_L19;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1927
 *                                             bounds, heap, reduced_dist_LB2)
 *             else:
 *                 self._query_dual_depthfirst(2 * i_node1 + 2, other, i_node2,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB2)
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,
 */
    /*else*/ {

      /* "sklearn/neighbors/binary_tree.pxi":1928
 *             else:
 *                 self._query_dual_depthfirst(2 * i_node1 + 2, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB2)             # <<<<<<<<<<<<<<
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB1)
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, ((2 * __pyx_v_i_node1) + 2), __pyx_v_other, __pyx_v_i_node2, __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB2); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1927, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":1929
 *                 self._query_dual_depthfirst(2 * i_node1 + 2, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB2)
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,             # <<<<<<<<<<<<<<
 *                                             bounds, heap, reduced_dist_LB1)
 *         return 0
 */
      __pyx_t_19 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree *)__pyx_v_self->__pyx_vtab)->_query_dual_depthfirst(__pyx_v_self, ((2 * __pyx_v_i_node1) + 1), __pyx_v_other, __pyx_v_i_node2, __pyx_v_bounds, __pyx_v_heap, __pyx_v_reduced_dist_LB1); if (unlikely(__pyx_t_19 == -1)) __PYX_ERR(0, 1929, __pyx_L1_error)
    }
    __pyx_L19:;
  }
  __pyx_L3:;

  /* "sklearn/neighbors/binary_tree.pxi":1931
 *                 self._query_dual_depthfirst(2 * i_node1 + 1, other, i_node2,
 *                                             bounds, heap, reduced_dist_LB1)
 *         return 0             # <<<<<<<<<<<<<<
 * 
 *     cdef int _query_dual_breadthfirst(self, BinaryTree other,
 */
  __pyx_r = 0;
  goto __pyx_L0;

  /* "sklearn/neighbors/binary_tree.pxi":1831
 *         return 0
 * 
 *     cdef int _query_dual_depthfirst(self, ITYPE_t i_node1,             # <<<<<<<<<<<<<<
 *                                     BinaryTree other, ITYPE_t i_node2,
 *                                     DTYPE_t[::1] bounds,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("sklearn.neighbors.kd_tree.BinaryTree._query_dual_depthfirst", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
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 *         cdef DTYPE_t* data1 = &self.data[0, 0]
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 *         nodeheap.push(nodeheap_item)
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 * 
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 *             node_info2 = node_data2[i_node2]
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 * 
 *             #------------------------------------------------------------
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 */
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        for (__pyx_t_24 = __pyx_v_node_info1.idx_start; __pyx_t_24 < __pyx_t_23; __pyx_t_24+=1) {
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          /* "sklearn/neighbors/binary_tree.pxi":1983
 *                     for i1 in range(node_info1.idx_start, node_info1.idx_end):
 *                         dist_pt = self.rdist(
 *                             data1 + n_features * self.idx_array[i1],             # <<<<<<<<<<<<<<
 *                             data2 + n_features * i_pt,
 *                             n_features)
 */
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          __pyx_t_25 = __pyx_v_i1;

          /* "sklearn/neighbors/binary_tree.pxi":1982
 * 
 *                     for i1 in range(node_info1.idx_start, node_info1.idx_end):
 *                         dist_pt = self.rdist(             # <<<<<<<<<<<<<<
 *                             data1 + n_features * self.idx_array[i1],
 *                             data2 + n_features * i_pt,
 */
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          /* "sklearn/neighbors/binary_tree.pxi":1986
 *                             data2 + n_features * i_pt,
 *                             n_features)
 *                         if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                             heap._push(i_pt, dist_pt, self.idx_array[i1])
 * 
 */
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          if (__pyx_t_16) {

            /* "sklearn/neighbors/binary_tree.pxi":1987
 *                             n_features)
 *                         if dist_pt < heap.largest(i_pt):
 *                             heap._push(i_pt, dist_pt, self.idx_array[i1])             # <<<<<<<<<<<<<<
 * 
 *                     # keep track of node bound
 */
            if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 1987, __pyx_L1_error)}
            __pyx_t_26 = __pyx_v_i1;
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            /* "sklearn/neighbors/binary_tree.pxi":1986
 *                             data2 + n_features * i_pt,
 *                             n_features)
 *                         if dist_pt < heap.largest(i_pt):             # <<<<<<<<<<<<<<
 *                             heap._push(i_pt, dist_pt, self.idx_array[i1])
 * 
 */
          }
        }

        /* "sklearn/neighbors/binary_tree.pxi":1990
 * 
 *                     # keep track of node bound
 *                     bounds[i_node2] = fmax(bounds[i_node2],             # <<<<<<<<<<<<<<
 *                                            heap.largest(i_pt))
 * 
 */
        __pyx_t_27 = __pyx_v_i_node2;

        /* "sklearn/neighbors/binary_tree.pxi":1991
 *                     # keep track of node bound
 *                     bounds[i_node2] = fmax(bounds[i_node2],
 *                                            heap.largest(i_pt))             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
 */
        __pyx_t_14 = __pyx_f_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_largest(__pyx_v_heap, __pyx_v_i_pt); if (unlikely(__pyx_t_14 == -1.0)) __PYX_ERR(0, 1991, __pyx_L1_error)

        /* "sklearn/neighbors/binary_tree.pxi":1990
 * 
 *                     # keep track of node bound
 *                     bounds[i_node2] = fmax(bounds[i_node2],             # <<<<<<<<<<<<<<
 *                                            heap.largest(i_pt))
 * 
 */
        __pyx_t_28 = __pyx_v_i_node2;
        *((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_28)) )) = __pyx_f_7sklearn_9neighbors_7kd_tree_fmax((*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) __pyx_v_bounds.data) + __pyx_t_27)) ))), __pyx_t_14);
        __pyx_L8_continue:;
      }

      /* "sklearn/neighbors/binary_tree.pxi":1972
 *             # Case 2: both nodes are leaves:
 *             #         do a brute-force search comparing all pairs
 *             elif node_info1.is_leaf and node_info2.is_leaf:             # <<<<<<<<<<<<<<
 *                 bounds[i_node2] = -1
 * 
 */
      goto __pyx_L5;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1996
 *             # Case 3a: node 1 is a leaf or is smaller: split node 2 and
 *             #          recursively query, starting with the nearest subnode
 *             elif node_info1.is_leaf or (not node_info2.is_leaf             # <<<<<<<<<<<<<<
 *                                         and (node_info2.radius
 *                                              > node_info1.radius)):
 */
    __pyx_t_19 = (__pyx_v_node_info1.is_leaf != 0);
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    } else {
      __pyx_t_16 = __pyx_t_19;
      goto __pyx_L14_bool_binop_done;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1997
 *             #          recursively query, starting with the nearest subnode
 *             elif node_info1.is_leaf or (not node_info2.is_leaf
 *                                         and (node_info2.radius             # <<<<<<<<<<<<<<
 *                                              > node_info1.radius)):
 *                 nodeheap_item.i1 = i_node1
 */
    __pyx_t_19 = ((!(__pyx_v_node_info2.is_leaf != 0)) != 0);
    if (__pyx_t_19) {
    } else {
      __pyx_t_16 = __pyx_t_19;
      goto __pyx_L14_bool_binop_done;
    }

    /* "sklearn/neighbors/binary_tree.pxi":1998
 *             elif node_info1.is_leaf or (not node_info2.is_leaf
 *                                         and (node_info2.radius
 *                                              > node_info1.radius)):             # <<<<<<<<<<<<<<
 *                 nodeheap_item.i1 = i_node1
 *                 for i2 in range(2 * i_node2 + 1, 2 * i_node2 + 3):
 */
    __pyx_t_19 = ((__pyx_v_node_info2.radius > __pyx_v_node_info1.radius) != 0);
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    /* "sklearn/neighbors/binary_tree.pxi":1996
 *             # Case 3a: node 1 is a leaf or is smaller: split node 2 and
 *             #          recursively query, starting with the nearest subnode
 *             elif node_info1.is_leaf or (not node_info2.is_leaf             # <<<<<<<<<<<<<<
 *                                         and (node_info2.radius
 *                                              > node_info1.radius)):
 */
    if (__pyx_t_16) {

      /* "sklearn/neighbors/binary_tree.pxi":1999
 *                                         and (node_info2.radius
 *                                              > node_info1.radius)):
 *                 nodeheap_item.i1 = i_node1             # <<<<<<<<<<<<<<
 *                 for i2 in range(2 * i_node2 + 1, 2 * i_node2 + 3):
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 */
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 *                                              > node_info1.radius)):
 *                 nodeheap_item.i1 = i_node1
 *                 for i2 in range(2 * i_node2 + 1, 2 * i_node2 + 3):             # <<<<<<<<<<<<<<
 *                     nodeheap_item.i2 = i2
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 */
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        /* "sklearn/neighbors/binary_tree.pxi":2001
 *                 nodeheap_item.i1 = i_node1
 *                 for i2 in range(2 * i_node2 + 1, 2 * i_node2 + 3):
 *                     nodeheap_item.i2 = i2             # <<<<<<<<<<<<<<
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 */
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 *                 for i2 in range(2 * i_node2 + 1, 2 * i_node2 + 3):
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 *                     nodeheap_item.val = min_rdist_dual(self, i_node1,
 *                                                        other, i2)
 *                     nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
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 *             # Case 3a: node 1 is a leaf or is smaller: split node 2 and
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 *             elif node_info1.is_leaf or (not node_info2.is_leaf             # <<<<<<<<<<<<<<
 *                                         and (node_info2.radius
 *                                              > node_info1.radius)):
 */
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 *             else:
 *                 nodeheap_item.i2 = i_node2             # <<<<<<<<<<<<<<
 *                 for i1 in range(2 * i_node1 + 1, 2 * i_node1 + 3):
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 *             else:
 *                 nodeheap_item.i2 = i_node2
 *                 for i1 in range(2 * i_node1 + 1, 2 * i_node1 + 3):             # <<<<<<<<<<<<<<
 *                     nodeheap_item.i1 = i1
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 *                 nodeheap_item.i2 = i_node2
 *                 for i1 in range(2 * i_node1 + 1, 2 * i_node1 + 3):
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 *                     nodeheap_item.val = min_rdist_dual(self, i1,
 *                                                        other, i_node2)
 *                     nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 *         return 0
 * 
 */
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 *                                                        other, i_node2)
 *                     nodeheap.push(nodeheap_item)
 *         return 0             # <<<<<<<<<<<<<<
 * 
 *     cdef ITYPE_t _query_radius_single(self,
 */
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  /* "sklearn/neighbors/binary_tree.pxi":1933
 *         return 0
 * 
 *     cdef int _query_dual_breadthfirst(self, BinaryTree other,             # <<<<<<<<<<<<<<
 *                                       NeighborsHeap heap,
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 */

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/* "sklearn/neighbors/binary_tree.pxi":2018
 *         return 0
 * 
 *     cdef ITYPE_t _query_radius_single(self,             # <<<<<<<<<<<<<<
 *                                       ITYPE_t i_node,
 *                                       DTYPE_t* pt, DTYPE_t r,
 */

static __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__query_radius_single(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_r, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *__pyx_v_indices, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_distances, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_count, int __pyx_v_count_only, int __pyx_v_return_distance) {
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 *         cdef DTYPE_t* data = &self.data[0, 0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
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  /* "sklearn/neighbors/binary_tree.pxi":2028
 *         """recursive single-tree radius query, depth-first"""
 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t n_features = self.data.shape[1]
 *         cdef NodeData_t node_info = self.node_data[i_node]
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2029
 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]             # <<<<<<<<<<<<<<
 *         cdef NodeData_t node_info = self.node_data[i_node]
 * 
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2030
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
 *         cdef NodeData_t node_info = self.node_data[i_node]             # <<<<<<<<<<<<<<
 * 
 *         cdef ITYPE_t i
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2035
 *         cdef DTYPE_t reduced_r
 * 
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0             # <<<<<<<<<<<<<<
 *         min_max_dist(self, i_node, pt, &dist_LB, &dist_UB)
 * 
 */
  __pyx_v_dist_LB = 0.0;
  __pyx_v_dist_UB = 0.0;

  /* "sklearn/neighbors/binary_tree.pxi":2036
 * 
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0
 *         min_max_dist(self, i_node, pt, &dist_LB, &dist_UB)             # <<<<<<<<<<<<<<
 * 
 *         #------------------------------------------------------------
 */
  __pyx_t_5 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_max_dist(__pyx_v_self, __pyx_v_i_node, __pyx_v_pt, (&__pyx_v_dist_LB), (&__pyx_v_dist_UB)); if (unlikely(__pyx_t_5 == -1)) __PYX_ERR(0, 2036, __pyx_L1_error)

  /* "sklearn/neighbors/binary_tree.pxi":2041
 *         # Case 1: all node points are outside distance r.
 *         #         prune this branch.
 *         if dist_LB > r:             # <<<<<<<<<<<<<<
 *             pass
 * 
 */
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 * 
 *             for i in range(node_info.idx_start, node_info.idx_end):
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 *             for i in range(node_info.idx_start, node_info.idx_end):             # <<<<<<<<<<<<<<
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 *         cdef NodeData_t* node_data = &self.node_data[0]
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2115, __pyx_L1_error)}
  __pyx_t_1 = 0;
  __pyx_t_2 = 0;
  __pyx_v_data = (&(*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=0 */ (__pyx_v_self->data.data + __pyx_t_1 * __pyx_v_self->data.strides[0]) )) + __pyx_t_2)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":2116
 * 
 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]             # <<<<<<<<<<<<<<
 *         cdef NodeData_t* node_data = &self.node_data[0]
 *         cdef ITYPE_t N = self.data.shape[0]
 */
  if (unlikely(!__pyx_v_self->idx_array.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2116, __pyx_L1_error)}
  __pyx_t_3 = 0;
  __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) __pyx_v_self->idx_array.data) + __pyx_t_3)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":2117
 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef NodeData_t* node_data = &self.node_data[0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t N = self.data.shape[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
 */
  if (unlikely(!__pyx_v_self->node_data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2117, __pyx_L1_error)}
  __pyx_t_4 = 0;
  __pyx_v_node_data = (&(*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_4)) ))));

  /* "sklearn/neighbors/binary_tree.pxi":2118
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef NodeData_t* node_data = &self.node_data[0]
 *         cdef ITYPE_t N = self.data.shape[0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t n_features = self.data.shape[1]
 * 
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2118, __pyx_L1_error)}
  __pyx_v_N = (__pyx_v_self->data.shape[0]);

  /* "sklearn/neighbors/binary_tree.pxi":2119
 *         cdef NodeData_t* node_data = &self.node_data[0]
 *         cdef ITYPE_t N = self.data.shape[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]             # <<<<<<<<<<<<<<
 * 
 *         cdef NodeData_t node_info
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2119, __pyx_L1_error)}
  __pyx_v_n_features = (__pyx_v_self->data.shape[1]);

  /* "sklearn/neighbors/binary_tree.pxi":2123
 *         cdef NodeData_t node_info
 *         cdef DTYPE_t dist_pt, log_density
 *         cdef DTYPE_t dist_LB_1 = 0, dist_LB_2 = 0             # <<<<<<<<<<<<<<
 *         cdef DTYPE_t dist_UB_1 = 0, dist_UB_2 = 0
 * 
 */
  __pyx_v_dist_LB_1 = 0.0;
  __pyx_v_dist_LB_2 = 0.0;

  /* "sklearn/neighbors/binary_tree.pxi":2124
 *         cdef DTYPE_t dist_pt, log_density
 *         cdef DTYPE_t dist_LB_1 = 0, dist_LB_2 = 0
 *         cdef DTYPE_t dist_UB_1 = 0, dist_UB_2 = 0             # <<<<<<<<<<<<<<
 * 
 *         cdef DTYPE_t dist_UB, dist_LB
 */
  __pyx_v_dist_UB_1 = 0.0;
  __pyx_v_dist_UB_2 = 0.0;

  /* "sklearn/neighbors/binary_tree.pxi":2130
 *         # push the top node to the heap
 *         cdef NodeHeapData_t nodeheap_item
 *         nodeheap_item.val = min_dist(self, 0, pt)             # <<<<<<<<<<<<<<
 *         nodeheap_item.i1 = 0
 *         nodeheap.push(nodeheap_item)
 */
  __pyx_t_5 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_dist(__pyx_v_self, 0, __pyx_v_pt); if (unlikely(__pyx_t_5 == -1.0)) __PYX_ERR(0, 2130, __pyx_L1_error)
  __pyx_v_nodeheap_item.val = __pyx_t_5;

  /* "sklearn/neighbors/binary_tree.pxi":2131
 *         cdef NodeHeapData_t nodeheap_item
 *         nodeheap_item.val = min_dist(self, 0, pt)
 *         nodeheap_item.i1 = 0             # <<<<<<<<<<<<<<
 *         nodeheap.push(nodeheap_item)
 * 
 */
  __pyx_v_nodeheap_item.i1 = 0;

  /* "sklearn/neighbors/binary_tree.pxi":2132
 *         nodeheap_item.val = min_dist(self, 0, pt)
 *         nodeheap_item.i1 = 0
 *         nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 * 
 *         global_log_min_bound = log(N) + compute_log_kernel(max_dist(self,
 */
  __pyx_t_6 = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *)__pyx_v_nodeheap->__pyx_vtab)->push(__pyx_v_nodeheap, __pyx_v_nodeheap_item); if (unlikely(__pyx_t_6 == -1)) __PYX_ERR(0, 2132, __pyx_L1_error)

  /* "sklearn/neighbors/binary_tree.pxi":2134
 *         nodeheap.push(nodeheap_item)
 * 
 *         global_log_min_bound = log(N) + compute_log_kernel(max_dist(self,             # <<<<<<<<<<<<<<
 *                                                                     0, pt),
 *                                                            h, kernel)
 */
  __pyx_t_5 = __pyx_f_7sklearn_9neighbors_7kd_tree_max_dist(__pyx_v_self, 0, __pyx_v_pt); if (unlikely(__pyx_t_5 == -1.0)) __PYX_ERR(0, 2134, __pyx_L1_error)

  /* "sklearn/neighbors/binary_tree.pxi":2136
 *         global_log_min_bound = log(N) + compute_log_kernel(max_dist(self,
 *                                                                     0, pt),
 *                                                            h, kernel)             # <<<<<<<<<<<<<<
 *         global_log_max_bound = log(N) + compute_log_kernel(nodeheap_item.val,
 *                                                            h, kernel)
 */
  __pyx_v_global_log_min_bound = (log(__pyx_v_N) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_t_5, __pyx_v_h, __pyx_v_kernel));

  /* "sklearn/neighbors/binary_tree.pxi":2137
 *                                                                     0, pt),
 *                                                            h, kernel)
 *         global_log_max_bound = log(N) + compute_log_kernel(nodeheap_item.val,             # <<<<<<<<<<<<<<
 *                                                            h, kernel)
 *         global_log_bound_spread = logsubexp(global_log_max_bound,
 */
  __pyx_v_global_log_max_bound = (log(__pyx_v_N) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_nodeheap_item.val, __pyx_v_h, __pyx_v_kernel));

  /* "sklearn/neighbors/binary_tree.pxi":2139
 *         global_log_max_bound = log(N) + compute_log_kernel(nodeheap_item.val,
 *                                                            h, kernel)
 *         global_log_bound_spread = logsubexp(global_log_max_bound,             # <<<<<<<<<<<<<<
 *                                             global_log_min_bound)
 * 
 */
  __pyx_v_global_log_bound_spread = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp(__pyx_v_global_log_max_bound, __pyx_v_global_log_min_bound);

  /* "sklearn/neighbors/binary_tree.pxi":2142
 *                                             global_log_min_bound)
 * 
 *         node_log_min_bounds[0] = global_log_min_bound             # <<<<<<<<<<<<<<
 *         node_log_bound_spreads[0] = global_log_bound_spread
 * 
 */
  (__pyx_v_node_log_min_bounds[0]) = __pyx_v_global_log_min_bound;

  /* "sklearn/neighbors/binary_tree.pxi":2143
 * 
 *         node_log_min_bounds[0] = global_log_min_bound
 *         node_log_bound_spreads[0] = global_log_bound_spread             # <<<<<<<<<<<<<<
 * 
 *         while nodeheap.n > 0:
 */
  (__pyx_v_node_log_bound_spreads[0]) = __pyx_v_global_log_bound_spread;

  /* "sklearn/neighbors/binary_tree.pxi":2145
 *         node_log_bound_spreads[0] = global_log_bound_spread
 * 
 *         while nodeheap.n > 0:             # <<<<<<<<<<<<<<
 *             nodeheap_item = nodeheap.pop()
 *             i_node = nodeheap_item.i1
 */
  while (1) {
    __pyx_t_7 = ((__pyx_v_nodeheap->n > 0) != 0);
    if (!__pyx_t_7) break;

    /* "sklearn/neighbors/binary_tree.pxi":2146
 * 
 *         while nodeheap.n > 0:
 *             nodeheap_item = nodeheap.pop()             # <<<<<<<<<<<<<<
 *             i_node = nodeheap_item.i1
 * 
 */
    __pyx_v_nodeheap_item = ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *)__pyx_v_nodeheap->__pyx_vtab)->pop(__pyx_v_nodeheap);

    /* "sklearn/neighbors/binary_tree.pxi":2147
 *         while nodeheap.n > 0:
 *             nodeheap_item = nodeheap.pop()
 *             i_node = nodeheap_item.i1             # <<<<<<<<<<<<<<
 * 
 *             node_info = node_data[i_node]
 */
    __pyx_t_8 = __pyx_v_nodeheap_item.i1;
    __pyx_v_i_node = __pyx_t_8;

    /* "sklearn/neighbors/binary_tree.pxi":2149
 *             i_node = nodeheap_item.i1
 * 
 *             node_info = node_data[i_node]             # <<<<<<<<<<<<<<
 *             N1 = node_info.idx_end - node_info.idx_start
 * 
 */
    __pyx_v_node_info = (__pyx_v_node_data[__pyx_v_i_node]);

    /* "sklearn/neighbors/binary_tree.pxi":2150
 * 
 *             node_info = node_data[i_node]
 *             N1 = node_info.idx_end - node_info.idx_start             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
 */
    __pyx_v_N1 = (__pyx_v_node_info.idx_end - __pyx_v_node_info.idx_start);

    /* "sklearn/neighbors/binary_tree.pxi":2155
 *             # Case 1: local bounds are equal to within per-point tolerance.
 *             if (log_knorm + node_log_bound_spreads[i_node] - log(N1) + log(N)
 *                 <= logaddexp(log_atol, (log_rtol + log_knorm             # <<<<<<<<<<<<<<
 *                                         + node_log_min_bounds[i_node]))):
 *                 pass
 */
    __pyx_t_7 = (((((__pyx_v_log_knorm + (__pyx_v_node_log_bound_spreads[__pyx_v_i_node])) - log(__pyx_v_N1)) + log(__pyx_v_N)) <= __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_log_atol, ((__pyx_v_log_rtol + __pyx_v_log_knorm) + (__pyx_v_node_log_min_bounds[__pyx_v_i_node])))) != 0);

    /* "sklearn/neighbors/binary_tree.pxi":2154
 *             #------------------------------------------------------------
 *             # Case 1: local bounds are equal to within per-point tolerance.
 *             if (log_knorm + node_log_bound_spreads[i_node] - log(N1) + log(N)             # <<<<<<<<<<<<<<
 *                 <= logaddexp(log_atol, (log_rtol + log_knorm
 *                                         + node_log_min_bounds[i_node]))):
 */
    if (__pyx_t_7) {
      goto __pyx_L5;
    }

    /* "sklearn/neighbors/binary_tree.pxi":2162
 *             # Case 2: global bounds are within rtol & atol.
 *             elif (log_knorm + global_log_bound_spread
 *                   <= logaddexp(log_atol,             # <<<<<<<<<<<<<<
 *                                log_rtol + log_knorm + global_log_min_bound)):
 *                 break
 */
    __pyx_t_7 = (((__pyx_v_log_knorm + __pyx_v_global_log_bound_spread) <= __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_log_atol, ((__pyx_v_log_rtol + __pyx_v_log_knorm) + __pyx_v_global_log_min_bound))) != 0);

    /* "sklearn/neighbors/binary_tree.pxi":2161
 *             #------------------------------------------------------------
 *             # Case 2: global bounds are within rtol & atol.
 *             elif (log_knorm + global_log_bound_spread             # <<<<<<<<<<<<<<
 *                   <= logaddexp(log_atol,
 *                                log_rtol + log_knorm + global_log_min_bound)):
 */
    if (__pyx_t_7) {

      /* "sklearn/neighbors/binary_tree.pxi":2164
 *                   <= logaddexp(log_atol,
 *                                log_rtol + log_knorm + global_log_min_bound)):
 *                 break             # <<<<<<<<<<<<<<
 * 
 *             #------------------------------------------------------------
 */
      goto __pyx_L4_break;

      /* "sklearn/neighbors/binary_tree.pxi":2161
 *             #------------------------------------------------------------
 *             # Case 2: global bounds are within rtol & atol.
 *             elif (log_knorm + global_log_bound_spread             # <<<<<<<<<<<<<<
 *                   <= logaddexp(log_atol,
 *                                log_rtol + log_knorm + global_log_min_bound)):
 */
    }

    /* "sklearn/neighbors/binary_tree.pxi":2168
 *             #------------------------------------------------------------
 *             # Case 3: node is a leaf. Count contributions from all points
 *             elif node_info.is_leaf:             # <<<<<<<<<<<<<<
 *                 global_log_min_bound =\
 *                     logsubexp(global_log_min_bound,
 */
    __pyx_t_7 = (__pyx_v_node_info.is_leaf != 0);
    if (__pyx_t_7) {

      /* "sklearn/neighbors/binary_tree.pxi":2170
 *             elif node_info.is_leaf:
 *                 global_log_min_bound =\
 *                     logsubexp(global_log_min_bound,             # <<<<<<<<<<<<<<
 *                               node_log_min_bounds[i_node])
 *                 global_log_bound_spread =\
 */
      __pyx_v_global_log_min_bound = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp(__pyx_v_global_log_min_bound, (__pyx_v_node_log_min_bounds[__pyx_v_i_node]));

      /* "sklearn/neighbors/binary_tree.pxi":2173
 *                               node_log_min_bounds[i_node])
 *                 global_log_bound_spread =\
 *                     logsubexp(global_log_bound_spread,             # <<<<<<<<<<<<<<
 *                               node_log_bound_spreads[i_node])
 *                 for i in range(node_info.idx_start, node_info.idx_end):
 */
      __pyx_v_global_log_bound_spread = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp(__pyx_v_global_log_bound_spread, (__pyx_v_node_log_bound_spreads[__pyx_v_i_node]));

      /* "sklearn/neighbors/binary_tree.pxi":2175
 *                     logsubexp(global_log_bound_spread,
 *                               node_log_bound_spreads[i_node])
 *                 for i in range(node_info.idx_start, node_info.idx_end):             # <<<<<<<<<<<<<<
 *                     dist_pt = self.dist(pt, data + n_features * idx_array[i],
 *                                         n_features)
 */
      __pyx_t_8 = __pyx_v_node_info.idx_end;
      for (__pyx_t_9 = __pyx_v_node_info.idx_start; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
        __pyx_v_i = __pyx_t_9;

        /* "sklearn/neighbors/binary_tree.pxi":2176
 *                               node_log_bound_spreads[i_node])
 *                 for i in range(node_info.idx_start, node_info.idx_end):
 *                     dist_pt = self.dist(pt, data + n_features * idx_array[i],             # <<<<<<<<<<<<<<
 *                                         n_features)
 *                     log_density = compute_log_kernel(dist_pt, h, kernel)
 */
        __pyx_t_5 = __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_dist(__pyx_v_self, __pyx_v_pt, (__pyx_v_data + (__pyx_v_n_features * (__pyx_v_idx_array[__pyx_v_i]))), __pyx_v_n_features); if (unlikely(__pyx_t_5 == -1.0)) __PYX_ERR(0, 2176, __pyx_L1_error)
        __pyx_v_dist_pt = __pyx_t_5;

        /* "sklearn/neighbors/binary_tree.pxi":2178
 *                     dist_pt = self.dist(pt, data + n_features * idx_array[i],
 *                                         n_features)
 *                     log_density = compute_log_kernel(dist_pt, h, kernel)             # <<<<<<<<<<<<<<
 *                     global_log_min_bound = logaddexp(global_log_min_bound,
 *                                                      log_density)
 */
        __pyx_v_log_density = __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_pt, __pyx_v_h, __pyx_v_kernel);

        /* "sklearn/neighbors/binary_tree.pxi":2179
 *                                         n_features)
 *                     log_density = compute_log_kernel(dist_pt, h, kernel)
 *                     global_log_min_bound = logaddexp(global_log_min_bound,             # <<<<<<<<<<<<<<
 *                                                      log_density)
 * 
 */
        __pyx_v_global_log_min_bound = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_global_log_min_bound, __pyx_v_log_density);
      }

      /* "sklearn/neighbors/binary_tree.pxi":2168
 *             #------------------------------------------------------------
 *             # Case 3: node is a leaf. Count contributions from all points
 *             elif node_info.is_leaf:             # <<<<<<<<<<<<<<
 *                 global_log_min_bound =\
 *                     logsubexp(global_log_min_bound,
 */
      goto __pyx_L5;
    }

    /* "sklearn/neighbors/binary_tree.pxi":2185
 *             # Case 4: split node and query subnodes
 *             else:
 *                 i1 = 2 * i_node + 1             # <<<<<<<<<<<<<<
 *                 i2 = 2 * i_node + 2
 * 
 */
    /*else*/ {
      __pyx_v_i1 = ((2 * __pyx_v_i_node) + 1);

      /* "sklearn/neighbors/binary_tree.pxi":2186
 *             else:
 *                 i1 = 2 * i_node + 1
 *                 i2 = 2 * i_node + 2             # <<<<<<<<<<<<<<
 * 
 *                 N1 = node_data[i1].idx_end - node_data[i1].idx_start
 */
      __pyx_v_i2 = ((2 * __pyx_v_i_node) + 2);

      /* "sklearn/neighbors/binary_tree.pxi":2188
 *                 i2 = 2 * i_node + 2
 * 
 *                 N1 = node_data[i1].idx_end - node_data[i1].idx_start             # <<<<<<<<<<<<<<
 *                 N2 = node_data[i2].idx_end - node_data[i2].idx_start
 * 
 */
      __pyx_v_N1 = ((__pyx_v_node_data[__pyx_v_i1]).idx_end - (__pyx_v_node_data[__pyx_v_i1]).idx_start);

      /* "sklearn/neighbors/binary_tree.pxi":2189
 * 
 *                 N1 = node_data[i1].idx_end - node_data[i1].idx_start
 *                 N2 = node_data[i2].idx_end - node_data[i2].idx_start             # <<<<<<<<<<<<<<
 * 
 *                 min_max_dist(self, i1, pt, &dist_LB_1, &dist_UB_1)
 */
      __pyx_v_N2 = ((__pyx_v_node_data[__pyx_v_i2]).idx_end - (__pyx_v_node_data[__pyx_v_i2]).idx_start);

      /* "sklearn/neighbors/binary_tree.pxi":2191
 *                 N2 = node_data[i2].idx_end - node_data[i2].idx_start
 * 
 *                 min_max_dist(self, i1, pt, &dist_LB_1, &dist_UB_1)             # <<<<<<<<<<<<<<
 *                 min_max_dist(self, i2, pt, &dist_LB_2, &dist_UB_2)
 * 
 */
      __pyx_t_6 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_max_dist(__pyx_v_self, __pyx_v_i1, __pyx_v_pt, (&__pyx_v_dist_LB_1), (&__pyx_v_dist_UB_1)); if (unlikely(__pyx_t_6 == -1)) __PYX_ERR(0, 2191, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":2192
 * 
 *                 min_max_dist(self, i1, pt, &dist_LB_1, &dist_UB_1)
 *                 min_max_dist(self, i2, pt, &dist_LB_2, &dist_UB_2)             # <<<<<<<<<<<<<<
 * 
 *                 node_log_min_bounds[i1] = (log(N1) +
 */
      __pyx_t_6 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_max_dist(__pyx_v_self, __pyx_v_i2, __pyx_v_pt, (&__pyx_v_dist_LB_2), (&__pyx_v_dist_UB_2)); if (unlikely(__pyx_t_6 == -1)) __PYX_ERR(0, 2192, __pyx_L1_error)

      /* "sklearn/neighbors/binary_tree.pxi":2194
 *                 min_max_dist(self, i2, pt, &dist_LB_2, &dist_UB_2)
 * 
 *                 node_log_min_bounds[i1] = (log(N1) +             # <<<<<<<<<<<<<<
 *                                            compute_log_kernel(dist_UB_1,
 *                                                               h, kernel))
 */
      (__pyx_v_node_log_min_bounds[__pyx_v_i1]) = (log(__pyx_v_N1) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_UB_1, __pyx_v_h, __pyx_v_kernel));

      /* "sklearn/neighbors/binary_tree.pxi":2197
 *                                            compute_log_kernel(dist_UB_1,
 *                                                               h, kernel))
 *                 node_log_bound_spreads[i1] = (log(N1) +             # <<<<<<<<<<<<<<
 *                                               compute_log_kernel(dist_LB_1,
 *                                                                  h, kernel))
 */
      (__pyx_v_node_log_bound_spreads[__pyx_v_i1]) = (log(__pyx_v_N1) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_LB_1, __pyx_v_h, __pyx_v_kernel));

      /* "sklearn/neighbors/binary_tree.pxi":2201
 *                                                                  h, kernel))
 * 
 *                 node_log_min_bounds[i2] = (log(N2) +             # <<<<<<<<<<<<<<
 *                                            compute_log_kernel(dist_UB_2,
 *                                                               h, kernel))
 */
      (__pyx_v_node_log_min_bounds[__pyx_v_i2]) = (log(__pyx_v_N2) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_UB_2, __pyx_v_h, __pyx_v_kernel));

      /* "sklearn/neighbors/binary_tree.pxi":2204
 *                                            compute_log_kernel(dist_UB_2,
 *                                                               h, kernel))
 *                 node_log_bound_spreads[i2] = (log(N2) +             # <<<<<<<<<<<<<<
 *                                               compute_log_kernel(dist_LB_2,
 *                                                                  h, kernel))
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 *                                                                  h, kernel))
 * 
 *                 global_log_min_bound = logsubexp(global_log_min_bound,             # <<<<<<<<<<<<<<
 *                                                  node_log_min_bounds[i_node])
 *                 global_log_min_bound = logaddexp(global_log_min_bound,
 */
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 *                 global_log_min_bound = logsubexp(global_log_min_bound,
 *                                                  node_log_min_bounds[i_node])
 *                 global_log_min_bound = logaddexp(global_log_min_bound,             # <<<<<<<<<<<<<<
 *                                                  node_log_min_bounds[i1])
 *                 global_log_min_bound = logaddexp(global_log_min_bound,
 */
      __pyx_v_global_log_min_bound = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_global_log_min_bound, (__pyx_v_node_log_min_bounds[__pyx_v_i1]));

      /* "sklearn/neighbors/binary_tree.pxi":2212
 *                 global_log_min_bound = logaddexp(global_log_min_bound,
 *                                                  node_log_min_bounds[i1])
 *                 global_log_min_bound = logaddexp(global_log_min_bound,             # <<<<<<<<<<<<<<
 *                                                  node_log_min_bounds[i2])
 * 
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2216
 * 
 *                 global_log_bound_spread =\
 *                     logsubexp(global_log_bound_spread,             # <<<<<<<<<<<<<<
 *                               node_log_bound_spreads[i_node])
 *                 global_log_bound_spread = logaddexp(global_log_bound_spread,
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2218
 *                     logsubexp(global_log_bound_spread,
 *                               node_log_bound_spreads[i_node])
 *                 global_log_bound_spread = logaddexp(global_log_bound_spread,             # <<<<<<<<<<<<<<
 *                                                     node_log_bound_spreads[i1])
 *                 global_log_bound_spread = logaddexp(global_log_bound_spread,
 */
      __pyx_v_global_log_bound_spread = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_global_log_bound_spread, (__pyx_v_node_log_bound_spreads[__pyx_v_i1]));

      /* "sklearn/neighbors/binary_tree.pxi":2220
 *                 global_log_bound_spread = logaddexp(global_log_bound_spread,
 *                                                     node_log_bound_spreads[i1])
 *                 global_log_bound_spread = logaddexp(global_log_bound_spread,             # <<<<<<<<<<<<<<
 *                                                     node_log_bound_spreads[i2])
 * 
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2224
 * 
 *                 # TODO: rank by the spread rather than the distance?
 *                 nodeheap_item.val = dist_LB_1             # <<<<<<<<<<<<<<
 *                 nodeheap_item.i1 = i1
 *                 nodeheap.push(nodeheap_item)
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2225
 *                 # TODO: rank by the spread rather than the distance?
 *                 nodeheap_item.val = dist_LB_1
 *                 nodeheap_item.i1 = i1             # <<<<<<<<<<<<<<
 *                 nodeheap.push(nodeheap_item)
 * 
 */
      __pyx_v_nodeheap_item.i1 = __pyx_v_i1;

      /* "sklearn/neighbors/binary_tree.pxi":2226
 *                 nodeheap_item.val = dist_LB_1
 *                 nodeheap_item.i1 = i1
 *                 nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 * 
 *                 nodeheap_item.val = dist_LB_2
 */
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 *                 nodeheap.push(nodeheap_item)
 * 
 *                 nodeheap_item.val = dist_LB_2             # <<<<<<<<<<<<<<
 *                 nodeheap_item.i1 = i2
 *                 nodeheap.push(nodeheap_item)
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2229
 * 
 *                 nodeheap_item.val = dist_LB_2
 *                 nodeheap_item.i1 = i2             # <<<<<<<<<<<<<<
 *                 nodeheap.push(nodeheap_item)
 * 
 */
      __pyx_v_nodeheap_item.i1 = __pyx_v_i2;

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 *                 nodeheap_item.val = dist_LB_2
 *                 nodeheap_item.i1 = i2
 *                 nodeheap.push(nodeheap_item)             # <<<<<<<<<<<<<<
 * 
 *         nodeheap.clear()
 */
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 *                 nodeheap.push(nodeheap_item)
 * 
 *         nodeheap.clear()             # <<<<<<<<<<<<<<
 *         return logaddexp(global_log_min_bound,
 *                          global_log_bound_spread - log(2))
 */
  ((struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap *)__pyx_v_nodeheap->__pyx_vtab)->clear(__pyx_v_nodeheap);

  /* "sklearn/neighbors/binary_tree.pxi":2233
 * 
 *         nodeheap.clear()
 *         return logaddexp(global_log_min_bound,             # <<<<<<<<<<<<<<
 *                          global_log_bound_spread - log(2))
 * 
 */
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  goto __pyx_L0;

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 *         return count
 * 
 *     cdef DTYPE_t _kde_single_breadthfirst(self, DTYPE_t* pt,             # <<<<<<<<<<<<<<
 *                                           KernelType kernel, DTYPE_t h,
 *                                           DTYPE_t log_knorm,
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/* "sklearn/neighbors/binary_tree.pxi":2236
 *                          global_log_bound_spread - log(2))
 * 
 *     cdef int _kde_single_depthfirst(             # <<<<<<<<<<<<<<
 *                    self, ITYPE_t i_node, DTYPE_t* pt,
 *                    KernelType kernel, DTYPE_t h,
 */

static int __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__kde_single_depthfirst(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_i_node, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_pt, enum __pyx_t_7sklearn_9neighbors_7kd_tree_KernelType __pyx_v_kernel, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_h, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_knorm, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_atol, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_log_rtol, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_local_log_min_bound, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_local_log_bound_spread, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_global_log_min_bound, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_global_log_bound_spread) {
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  __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_v_child2_log_bound_spread;
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 *         cdef ITYPE_t i, i1, i2, N1, N2
 * 
 *         cdef DTYPE_t* data = &self.data[0, 0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
 */
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 * 
 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t n_features = self.data.shape[1]
 * 
 */
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 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]             # <<<<<<<<<<<<<<
 * 
 *         cdef NodeData_t node_info = self.node_data[i_node]
 */
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 *         cdef ITYPE_t n_features = self.data.shape[1]
 * 
 *         cdef NodeData_t node_info = self.node_data[i_node]             # <<<<<<<<<<<<<<
 *         cdef DTYPE_t dist_pt, log_dens_contribution
 * 
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2262
 *         cdef DTYPE_t child1_log_min_bound, child2_log_min_bound
 *         cdef DTYPE_t child1_log_bound_spread, child2_log_bound_spread
 *         cdef DTYPE_t dist_UB = 0, dist_LB = 0             # <<<<<<<<<<<<<<
 * 
 *         N1 = node_info.idx_end - node_info.idx_start
 */
  __pyx_v_dist_UB = 0.0;
  __pyx_v_dist_LB = 0.0;

  /* "sklearn/neighbors/binary_tree.pxi":2264
 *         cdef DTYPE_t dist_UB = 0, dist_LB = 0
 * 
 *         N1 = node_info.idx_end - node_info.idx_start             # <<<<<<<<<<<<<<
 *         N2 = self.data.shape[0]
 * 
 */
  __pyx_v_N1 = (__pyx_v_node_info.idx_end - __pyx_v_node_info.idx_start);

  /* "sklearn/neighbors/binary_tree.pxi":2265
 * 
 *         N1 = node_info.idx_end - node_info.idx_start
 *         N2 = self.data.shape[0]             # <<<<<<<<<<<<<<
 * 
 *         #------------------------------------------------------------
 */
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  __pyx_v_N2 = (__pyx_v_self->data.shape[0]);

  /* "sklearn/neighbors/binary_tree.pxi":2270
 *         # Case 1: local bounds are equal to within errors.  Return
 *         if (log_knorm + local_log_bound_spread - log(N1) + log(N2)
 *             <= logaddexp(log_atol, (log_rtol + log_knorm             # <<<<<<<<<<<<<<
 *                                     + local_log_min_bound))):
 *             pass
 */
  __pyx_t_5 = (((((__pyx_v_log_knorm + __pyx_v_local_log_bound_spread) - log(__pyx_v_N1)) + log(__pyx_v_N2)) <= __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_log_atol, ((__pyx_v_log_rtol + __pyx_v_log_knorm) + __pyx_v_local_log_min_bound))) != 0);

  /* "sklearn/neighbors/binary_tree.pxi":2269
 *         #------------------------------------------------------------
 *         # Case 1: local bounds are equal to within errors.  Return
 *         if (log_knorm + local_log_bound_spread - log(N1) + log(N2)             # <<<<<<<<<<<<<<
 *             <= logaddexp(log_atol, (log_rtol + log_knorm
 *                                     + local_log_min_bound))):
 */
  if (__pyx_t_5) {
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":2277
 *         # Case 2: global bounds are within rtol & atol. Return
 *         elif (log_knorm + global_log_bound_spread[0]
 *             <= logaddexp(log_atol, (log_rtol + log_knorm             # <<<<<<<<<<<<<<
 *                                     + global_log_min_bound[0]))):
 *             pass
 */
  __pyx_t_5 = (((__pyx_v_log_knorm + (__pyx_v_global_log_bound_spread[0])) <= __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp(__pyx_v_log_atol, ((__pyx_v_log_rtol + __pyx_v_log_knorm) + (__pyx_v_global_log_min_bound[0])))) != 0);

  /* "sklearn/neighbors/binary_tree.pxi":2276
 *         #------------------------------------------------------------
 *         # Case 2: global bounds are within rtol & atol. Return
 *         elif (log_knorm + global_log_bound_spread[0]             # <<<<<<<<<<<<<<
 *             <= logaddexp(log_atol, (log_rtol + log_knorm
 *                                     + global_log_min_bound[0]))):
 */
  if (__pyx_t_5) {
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":2283
 *         #------------------------------------------------------------
 *         # Case 3: node is a leaf. Count contributions from all points
 *         elif node_info.is_leaf:             # <<<<<<<<<<<<<<
 *             global_log_min_bound[0] = logsubexp(global_log_min_bound[0],
 *                                                 local_log_min_bound)
 */
  __pyx_t_5 = (__pyx_v_node_info.is_leaf != 0);
  if (__pyx_t_5) {

    /* "sklearn/neighbors/binary_tree.pxi":2284
 *         # Case 3: node is a leaf. Count contributions from all points
 *         elif node_info.is_leaf:
 *             global_log_min_bound[0] = logsubexp(global_log_min_bound[0],             # <<<<<<<<<<<<<<
 *                                                 local_log_min_bound)
 *             global_log_bound_spread[0] = logsubexp(global_log_bound_spread[0],
 */
    (__pyx_v_global_log_min_bound[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp((__pyx_v_global_log_min_bound[0]), __pyx_v_local_log_min_bound);

    /* "sklearn/neighbors/binary_tree.pxi":2286
 *             global_log_min_bound[0] = logsubexp(global_log_min_bound[0],
 *                                                 local_log_min_bound)
 *             global_log_bound_spread[0] = logsubexp(global_log_bound_spread[0],             # <<<<<<<<<<<<<<
 *                                                    local_log_bound_spread)
 *             for i in range(node_info.idx_start, node_info.idx_end):
 */
    (__pyx_v_global_log_bound_spread[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp((__pyx_v_global_log_bound_spread[0]), __pyx_v_local_log_bound_spread);

    /* "sklearn/neighbors/binary_tree.pxi":2288
 *             global_log_bound_spread[0] = logsubexp(global_log_bound_spread[0],
 *                                                    local_log_bound_spread)
 *             for i in range(node_info.idx_start, node_info.idx_end):             # <<<<<<<<<<<<<<
 *                 dist_pt = self.dist(pt, (data + n_features * idx_array[i]),
 *                                     n_features)
 */
    __pyx_t_6 = __pyx_v_node_info.idx_end;
    for (__pyx_t_7 = __pyx_v_node_info.idx_start; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
      __pyx_v_i = __pyx_t_7;

      /* "sklearn/neighbors/binary_tree.pxi":2289
 *                                                    local_log_bound_spread)
 *             for i in range(node_info.idx_start, node_info.idx_end):
 *                 dist_pt = self.dist(pt, (data + n_features * idx_array[i]),             # <<<<<<<<<<<<<<
 *                                     n_features)
 *                 log_dens_contribution = compute_log_kernel(dist_pt, h, kernel)
 */
      __pyx_t_8 = __pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree_dist(__pyx_v_self, __pyx_v_pt, (__pyx_v_data + (__pyx_v_n_features * (__pyx_v_idx_array[__pyx_v_i]))), __pyx_v_n_features); if (unlikely(__pyx_t_8 == -1.0)) __PYX_ERR(0, 2289, __pyx_L1_error)
      __pyx_v_dist_pt = __pyx_t_8;

      /* "sklearn/neighbors/binary_tree.pxi":2291
 *                 dist_pt = self.dist(pt, (data + n_features * idx_array[i]),
 *                                     n_features)
 *                 log_dens_contribution = compute_log_kernel(dist_pt, h, kernel)             # <<<<<<<<<<<<<<
 *                 global_log_min_bound[0] = logaddexp(global_log_min_bound[0],
 *                                                     log_dens_contribution)
 */
      __pyx_v_log_dens_contribution = __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_pt, __pyx_v_h, __pyx_v_kernel);

      /* "sklearn/neighbors/binary_tree.pxi":2292
 *                                     n_features)
 *                 log_dens_contribution = compute_log_kernel(dist_pt, h, kernel)
 *                 global_log_min_bound[0] = logaddexp(global_log_min_bound[0],             # <<<<<<<<<<<<<<
 *                                                     log_dens_contribution)
 * 
 */
      (__pyx_v_global_log_min_bound[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp((__pyx_v_global_log_min_bound[0]), __pyx_v_log_dens_contribution);
    }

    /* "sklearn/neighbors/binary_tree.pxi":2283
 *         #------------------------------------------------------------
 *         # Case 3: node is a leaf. Count contributions from all points
 *         elif node_info.is_leaf:             # <<<<<<<<<<<<<<
 *             global_log_min_bound[0] = logsubexp(global_log_min_bound[0],
 *                                                 local_log_min_bound)
 */
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/binary_tree.pxi":2298
 *         # Case 4: split node and query subnodes
 *         else:
 *             i1 = 2 * i_node + 1             # <<<<<<<<<<<<<<
 *             i2 = 2 * i_node + 2
 * 
 */
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 *         else:
 *             i1 = 2 * i_node + 1
 *             i2 = 2 * i_node + 2             # <<<<<<<<<<<<<<
 * 
 *             N1 = self.node_data[i1].idx_end - self.node_data[i1].idx_start
 */
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 *             i2 = 2 * i_node + 2
 * 
 *             N1 = self.node_data[i1].idx_end - self.node_data[i1].idx_start             # <<<<<<<<<<<<<<
 *             N2 = self.node_data[i2].idx_end - self.node_data[i2].idx_start
 * 
 */
    if (unlikely(!__pyx_v_self->node_data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2301, __pyx_L1_error)}
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    __pyx_t_10 = __pyx_v_i1;
    __pyx_v_N1 = ((*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_9)) ))).idx_end - (*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_10)) ))).idx_start);

    /* "sklearn/neighbors/binary_tree.pxi":2302
 * 
 *             N1 = self.node_data[i1].idx_end - self.node_data[i1].idx_start
 *             N2 = self.node_data[i2].idx_end - self.node_data[i2].idx_start             # <<<<<<<<<<<<<<
 * 
 *             min_max_dist(self, i1, pt, &dist_LB, &dist_UB)
 */
    if (unlikely(!__pyx_v_self->node_data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2302, __pyx_L1_error)}
    __pyx_t_11 = __pyx_v_i2;
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    __pyx_t_12 = __pyx_v_i2;
    __pyx_v_N2 = ((*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_11)) ))).idx_end - (*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_self->node_data.data) + __pyx_t_12)) ))).idx_start);

    /* "sklearn/neighbors/binary_tree.pxi":2304
 *             N2 = self.node_data[i2].idx_end - self.node_data[i2].idx_start
 * 
 *             min_max_dist(self, i1, pt, &dist_LB, &dist_UB)             # <<<<<<<<<<<<<<
 *             child1_log_min_bound = log(N1) + compute_log_kernel(dist_UB, h,
 *                                                                 kernel)
 */
    __pyx_t_13 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_max_dist(__pyx_v_self, __pyx_v_i1, __pyx_v_pt, (&__pyx_v_dist_LB), (&__pyx_v_dist_UB)); if (unlikely(__pyx_t_13 == -1)) __PYX_ERR(0, 2304, __pyx_L1_error)

    /* "sklearn/neighbors/binary_tree.pxi":2305
 * 
 *             min_max_dist(self, i1, pt, &dist_LB, &dist_UB)
 *             child1_log_min_bound = log(N1) + compute_log_kernel(dist_UB, h,             # <<<<<<<<<<<<<<
 *                                                                 kernel)
 *             child1_log_bound_spread = logsubexp(log(N1) +
 */
    __pyx_v_child1_log_min_bound = (log(__pyx_v_N1) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_UB, __pyx_v_h, __pyx_v_kernel));

    /* "sklearn/neighbors/binary_tree.pxi":2307
 *             child1_log_min_bound = log(N1) + compute_log_kernel(dist_UB, h,
 *                                                                 kernel)
 *             child1_log_bound_spread = logsubexp(log(N1) +             # <<<<<<<<<<<<<<
 *                                                 compute_log_kernel(dist_LB, h,
 *                                                                    kernel),
 */
    __pyx_v_child1_log_bound_spread = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp((log(__pyx_v_N1) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_LB, __pyx_v_h, __pyx_v_kernel)), __pyx_v_child1_log_min_bound);

    /* "sklearn/neighbors/binary_tree.pxi":2312
 *                                                 child1_log_min_bound)
 * 
 *             min_max_dist(self, i2, pt, &dist_LB, &dist_UB)             # <<<<<<<<<<<<<<
 *             child2_log_min_bound = log(N2) + compute_log_kernel(dist_UB, h,
 *                                                                 kernel)
 */
    __pyx_t_13 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_max_dist(__pyx_v_self, __pyx_v_i2, __pyx_v_pt, (&__pyx_v_dist_LB), (&__pyx_v_dist_UB)); if (unlikely(__pyx_t_13 == -1)) __PYX_ERR(0, 2312, __pyx_L1_error)

    /* "sklearn/neighbors/binary_tree.pxi":2313
 * 
 *             min_max_dist(self, i2, pt, &dist_LB, &dist_UB)
 *             child2_log_min_bound = log(N2) + compute_log_kernel(dist_UB, h,             # <<<<<<<<<<<<<<
 *                                                                 kernel)
 *             child2_log_bound_spread = logsubexp(log(N2) +
 */
    __pyx_v_child2_log_min_bound = (log(__pyx_v_N2) + __pyx_f_7sklearn_9neighbors_7kd_tree_compute_log_kernel(__pyx_v_dist_UB, __pyx_v_h, __pyx_v_kernel));

    /* "sklearn/neighbors/binary_tree.pxi":2315
 *             child2_log_min_bound = log(N2) + compute_log_kernel(dist_UB, h,
 *                                                                 kernel)
 *             child2_log_bound_spread = logsubexp(log(N2) +             # <<<<<<<<<<<<<<
 *                                                 compute_log_kernel(dist_LB, h,
 *                                                                    kernel),
 */
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    /* "sklearn/neighbors/binary_tree.pxi":2320
 *                                                 child2_log_min_bound)
 * 
 *             global_log_min_bound[0] = logsubexp(global_log_min_bound[0],             # <<<<<<<<<<<<<<
 *                                                 local_log_min_bound)
 *             global_log_min_bound[0] = logaddexp(global_log_min_bound[0],
 */
    (__pyx_v_global_log_min_bound[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp((__pyx_v_global_log_min_bound[0]), __pyx_v_local_log_min_bound);

    /* "sklearn/neighbors/binary_tree.pxi":2322
 *             global_log_min_bound[0] = logsubexp(global_log_min_bound[0],
 *                                                 local_log_min_bound)
 *             global_log_min_bound[0] = logaddexp(global_log_min_bound[0],             # <<<<<<<<<<<<<<
 *                                                 child1_log_min_bound)
 *             global_log_min_bound[0] = logaddexp(global_log_min_bound[0],
 */
    (__pyx_v_global_log_min_bound[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp((__pyx_v_global_log_min_bound[0]), __pyx_v_child1_log_min_bound);

    /* "sklearn/neighbors/binary_tree.pxi":2324
 *             global_log_min_bound[0] = logaddexp(global_log_min_bound[0],
 *                                                 child1_log_min_bound)
 *             global_log_min_bound[0] = logaddexp(global_log_min_bound[0],             # <<<<<<<<<<<<<<
 *                                                 child2_log_min_bound)
 * 
 */
    (__pyx_v_global_log_min_bound[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp((__pyx_v_global_log_min_bound[0]), __pyx_v_child2_log_min_bound);

    /* "sklearn/neighbors/binary_tree.pxi":2327
 *                                                 child2_log_min_bound)
 * 
 *             global_log_bound_spread[0] = logsubexp(global_log_bound_spread[0],             # <<<<<<<<<<<<<<
 *                                                    local_log_bound_spread)
 *             global_log_bound_spread[0] = logaddexp(global_log_bound_spread[0],
 */
    (__pyx_v_global_log_bound_spread[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logsubexp((__pyx_v_global_log_bound_spread[0]), __pyx_v_local_log_bound_spread);

    /* "sklearn/neighbors/binary_tree.pxi":2329
 *             global_log_bound_spread[0] = logsubexp(global_log_bound_spread[0],
 *                                                    local_log_bound_spread)
 *             global_log_bound_spread[0] = logaddexp(global_log_bound_spread[0],             # <<<<<<<<<<<<<<
 *                                                    child1_log_bound_spread)
 *             global_log_bound_spread[0] = logaddexp(global_log_bound_spread[0],
 */
    (__pyx_v_global_log_bound_spread[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp((__pyx_v_global_log_bound_spread[0]), __pyx_v_child1_log_bound_spread);

    /* "sklearn/neighbors/binary_tree.pxi":2331
 *             global_log_bound_spread[0] = logaddexp(global_log_bound_spread[0],
 *                                                    child1_log_bound_spread)
 *             global_log_bound_spread[0] = logaddexp(global_log_bound_spread[0],             # <<<<<<<<<<<<<<
 *                                                    child2_log_bound_spread)
 * 
 */
    (__pyx_v_global_log_bound_spread[0]) = __pyx_f_7sklearn_9neighbors_7kd_tree_logaddexp((__pyx_v_global_log_bound_spread[0]), __pyx_v_child2_log_bound_spread);

    /* "sklearn/neighbors/binary_tree.pxi":2334
 *                                                    child2_log_bound_spread)
 * 
 *             self._kde_single_depthfirst(i1, pt, kernel, h, log_knorm,             # <<<<<<<<<<<<<<
 *                                         log_atol, log_rtol,
 *                                         child1_log_min_bound,
 */
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    /* "sklearn/neighbors/binary_tree.pxi":2340
 *                                         global_log_min_bound,
 *                                         global_log_bound_spread)
 *             self._kde_single_depthfirst(i2, pt, kernel, h, log_knorm,             # <<<<<<<<<<<<<<
 *                                         log_atol, log_rtol,
 *                                         child2_log_min_bound,
 */
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 *                                         global_log_min_bound,
 *                                         global_log_bound_spread)
 *         return 0             # <<<<<<<<<<<<<<
 * 
 *     cdef int _two_point_single(self, ITYPE_t i_node, DTYPE_t* pt, DTYPE_t* r,
 */
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 *                          global_log_bound_spread - log(2))
 * 
 *     cdef int _kde_single_depthfirst(             # <<<<<<<<<<<<<<
 *                    self, ITYPE_t i_node, DTYPE_t* pt,
 *                    KernelType kernel, DTYPE_t h,
 */

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/* "sklearn/neighbors/binary_tree.pxi":2348
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 * 
 *     cdef int _two_point_single(self, ITYPE_t i_node, DTYPE_t* pt, DTYPE_t* r,             # <<<<<<<<<<<<<<
 *                                ITYPE_t* count, ITYPE_t i_min,
 *                                ITYPE_t i_max) except -1:
 */

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 *                                ITYPE_t i_max) except -1:
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 *         cdef DTYPE_t* data = &self.data[0, 0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2353
 *         """recursive single-tree two-point correlation function query"""
 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t n_features = self.data.shape[1]
 *         cdef NodeData_t node_info = self.node_data[i_node]
 */
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 *         cdef DTYPE_t* data = &self.data[0, 0]
 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]             # <<<<<<<<<<<<<<
 *         cdef NodeData_t node_info = self.node_data[i_node]
 * 
 */
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 *         cdef ITYPE_t* idx_array = &self.idx_array[0]
 *         cdef ITYPE_t n_features = self.data.shape[1]
 *         cdef NodeData_t node_info = self.node_data[i_node]             # <<<<<<<<<<<<<<
 * 
 *         cdef ITYPE_t i, j, Npts
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  /* "sklearn/neighbors/binary_tree.pxi":2360
 *         cdef DTYPE_t reduced_r
 * 
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0             # <<<<<<<<<<<<<<
 *         min_max_dist(self, i_node, pt, &dist_LB, &dist_UB)
 * 
 */
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 * 
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0
 *         min_max_dist(self, i_node, pt, &dist_LB, &dist_UB)             # <<<<<<<<<<<<<<
 * 
 *         #------------------------------------------------------------
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2365
 *         #------------------------------------------------------------
 *         # Go through bounds and check for cuts
 *         while i_min < i_max:             # <<<<<<<<<<<<<<
 *             if dist_LB > r[i_min]:
 *                 i_min += 1
 */
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    if (!__pyx_t_6) break;

    /* "sklearn/neighbors/binary_tree.pxi":2366
 *         # Go through bounds and check for cuts
 *         while i_min < i_max:
 *             if dist_LB > r[i_min]:             # <<<<<<<<<<<<<<
 *                 i_min += 1
 *             else:
 */
    __pyx_t_6 = ((__pyx_v_dist_LB > (__pyx_v_r[__pyx_v_i_min])) != 0);
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      /* "sklearn/neighbors/binary_tree.pxi":2367
 *         while i_min < i_max:
 *             if dist_LB > r[i_min]:
 *                 i_min += 1             # <<<<<<<<<<<<<<
 *             else:
 *                 break
 */
      __pyx_v_i_min = (__pyx_v_i_min + 1);

      /* "sklearn/neighbors/binary_tree.pxi":2366
 *         # Go through bounds and check for cuts
 *         while i_min < i_max:
 *             if dist_LB > r[i_min]:             # <<<<<<<<<<<<<<
 *                 i_min += 1
 *             else:
 */
      goto __pyx_L5;
    }

    /* "sklearn/neighbors/binary_tree.pxi":2369
 *                 i_min += 1
 *             else:
 *                 break             # <<<<<<<<<<<<<<
 * 
 *         while i_max > i_min:
 */
    /*else*/ {
      goto __pyx_L4_break;
    }
    __pyx_L5:;
  }
  __pyx_L4_break:;

  /* "sklearn/neighbors/binary_tree.pxi":2371
 *                 break
 * 
 *         while i_max > i_min:             # <<<<<<<<<<<<<<
 *             Npts = (node_info.idx_end - node_info.idx_start)
 *             if dist_UB <= r[i_max - 1]:
 */
  while (1) {
    __pyx_t_6 = ((__pyx_v_i_max > __pyx_v_i_min) != 0);
    if (!__pyx_t_6) break;

    /* "sklearn/neighbors/binary_tree.pxi":2372
 * 
 *         while i_max > i_min:
 *             Npts = (node_info.idx_end - node_info.idx_start)             # <<<<<<<<<<<<<<
 *             if dist_UB <= r[i_max - 1]:
 *                 count[i_max - 1] += Npts
 */
    __pyx_v_Npts = (__pyx_v_node_info.idx_end - __pyx_v_node_info.idx_start);

    /* "sklearn/neighbors/binary_tree.pxi":2373
 *         while i_max > i_min:
 *             Npts = (node_info.idx_end - node_info.idx_start)
 *             if dist_UB <= r[i_max - 1]:             # <<<<<<<<<<<<<<
 *                 count[i_max - 1] += Npts
 *                 i_max -= 1
 */
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    if (__pyx_t_6) {

      /* "sklearn/neighbors/binary_tree.pxi":2374
 *             Npts = (node_info.idx_end - node_info.idx_start)
 *             if dist_UB <= r[i_max - 1]:
 *                 count[i_max - 1] += Npts             # <<<<<<<<<<<<<<
 *                 i_max -= 1
 *             else:
 */
      __pyx_t_7 = (__pyx_v_i_max - 1);
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      /* "sklearn/neighbors/binary_tree.pxi":2375
 *             if dist_UB <= r[i_max - 1]:
 *                 count[i_max - 1] += Npts
 *                 i_max -= 1             # <<<<<<<<<<<<<<
 *             else:
 *                 break
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2373
 *         while i_max > i_min:
 *             Npts = (node_info.idx_end - node_info.idx_start)
 *             if dist_UB <= r[i_max - 1]:             # <<<<<<<<<<<<<<
 *                 count[i_max - 1] += Npts
 *                 i_max -= 1
 */
      goto __pyx_L8;
    }

    /* "sklearn/neighbors/binary_tree.pxi":2377
 *                 i_max -= 1
 *             else:
 *                 break             # <<<<<<<<<<<<<<
 * 
 *         if i_min < i_max:
 */
    /*else*/ {
      goto __pyx_L7_break;
    }
    __pyx_L8:;
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  __pyx_L7_break:;

  /* "sklearn/neighbors/binary_tree.pxi":2379
 *                 break
 * 
 *         if i_min < i_max:             # <<<<<<<<<<<<<<
 *             # If node is a leaf, go through all points
 *             if node_info.is_leaf:
 */
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  if (__pyx_t_6) {

    /* "sklearn/neighbors/binary_tree.pxi":2381
 *         if i_min < i_max:
 *             # If node is a leaf, go through all points
 *             if node_info.is_leaf:             # <<<<<<<<<<<<<<
 *                 for i in range(node_info.idx_start, node_info.idx_end):
 *                     dist_pt = self.dist(pt, (data + n_features * idx_array[i]),
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2382
 *             # If node is a leaf, go through all points
 *             if node_info.is_leaf:
 *                 for i in range(node_info.idx_start, node_info.idx_end):             # <<<<<<<<<<<<<<
 *                     dist_pt = self.dist(pt, (data + n_features * idx_array[i]),
 *                                         n_features)
 */
      __pyx_t_8 = __pyx_v_node_info.idx_end;
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        /* "sklearn/neighbors/binary_tree.pxi":2383
 *             if node_info.is_leaf:
 *                 for i in range(node_info.idx_start, node_info.idx_end):
 *                     dist_pt = self.dist(pt, (data + n_features * idx_array[i]),             # <<<<<<<<<<<<<<
 *                                         n_features)
 *                     j = i_max - 1
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 *                     dist_pt = self.dist(pt, (data + n_features * idx_array[i]),
 *                                         n_features)
 *                     j = i_max - 1             # <<<<<<<<<<<<<<
 *                     while (j >= i_min) and (dist_pt <= r[j]):
 *                         count[j] += 1
 */
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 *                                         n_features)
 *                     j = i_max - 1
 *                     while (j >= i_min) and (dist_pt <= r[j]):             # <<<<<<<<<<<<<<
 *                         count[j] += 1
 *                         j -= 1
 */
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 *                     j = i_max - 1
 *                     while (j >= i_min) and (dist_pt <= r[j]):
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 *                         j -= 1
 * 
 */
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 *                     while (j >= i_min) and (dist_pt <= r[j]):
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 *                         j -= 1             # <<<<<<<<<<<<<<
 * 
 *             else:
 */
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 *         if i_min < i_max:
 *             # If node is a leaf, go through all points
 *             if node_info.is_leaf:             # <<<<<<<<<<<<<<
 *                 for i in range(node_info.idx_start, node_info.idx_end):
 *                     dist_pt = self.dist(pt, (data + n_features * idx_array[i]),
 */
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    }

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 * 
 *             else:
 *                 self._two_point_single(2 * i_node + 1, pt, r,             # <<<<<<<<<<<<<<
 *                                        count, i_min, i_max)
 *                 self._two_point_single(2 * i_node + 2, pt, r,
 */
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 *             else:
 *                 self._two_point_single(2 * i_node + 1, pt, r,
 *                                        count, i_min, i_max)             # <<<<<<<<<<<<<<
 *                 self._two_point_single(2 * i_node + 2, pt, r,
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 *                 self._two_point_single(2 * i_node + 1, pt, r,
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 *                 self._two_point_single(2 * i_node + 2, pt, r,             # <<<<<<<<<<<<<<
 *                                        count, i_min, i_max)
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 *                 break
 * 
 *         if i_min < i_max:             # <<<<<<<<<<<<<<
 *             # If node is a leaf, go through all points
 *             if node_info.is_leaf:
 */
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 *                 self._two_point_single(2 * i_node + 2, pt, r,
 *                                        count, i_min, i_max)
 *         return 0             # <<<<<<<<<<<<<<
 * 
 *     cdef int _two_point_dual(self, ITYPE_t i_node1,
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 *         return 0
 * 
 *     cdef int _two_point_single(self, ITYPE_t i_node, DTYPE_t* pt, DTYPE_t* r,             # <<<<<<<<<<<<<<
 *                                ITYPE_t* count, ITYPE_t i_min,
 *                                ITYPE_t i_max) except -1:
 */

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/* "sklearn/neighbors/binary_tree.pxi":2397
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 * 
 *     cdef int _two_point_dual(self, ITYPE_t i_node1,             # <<<<<<<<<<<<<<
 *                              BinaryTree other, ITYPE_t i_node2,
 *                              DTYPE_t* r, ITYPE_t* count,
 */

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 *         cdef DTYPE_t* data2 = &other.data[0, 0]
 *         cdef ITYPE_t* idx_array1 = &self.idx_array[0]
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  /* "sklearn/neighbors/binary_tree.pxi":2403
 *         """recursive dual-tree two-point correlation function query"""
 *         cdef DTYPE_t* data1 = &self.data[0, 0]
 *         cdef DTYPE_t* data2 = &other.data[0, 0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t* idx_array1 = &self.idx_array[0]
 *         cdef ITYPE_t* idx_array2 = &other.idx_array[0]
 */
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 *         cdef DTYPE_t* data1 = &self.data[0, 0]
 *         cdef DTYPE_t* data2 = &other.data[0, 0]
 *         cdef ITYPE_t* idx_array1 = &self.idx_array[0]             # <<<<<<<<<<<<<<
 *         cdef ITYPE_t* idx_array2 = &other.idx_array[0]
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 *         cdef DTYPE_t* data2 = &other.data[0, 0]
 *         cdef ITYPE_t* idx_array1 = &self.idx_array[0]
 *         cdef ITYPE_t* idx_array2 = &other.idx_array[0]             # <<<<<<<<<<<<<<
 *         cdef NodeData_t node_info1 = self.node_data[i_node1]
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2406
 *         cdef ITYPE_t* idx_array1 = &self.idx_array[0]
 *         cdef ITYPE_t* idx_array2 = &other.idx_array[0]
 *         cdef NodeData_t node_info1 = self.node_data[i_node1]             # <<<<<<<<<<<<<<
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]
 * 
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2407
 *         cdef ITYPE_t* idx_array2 = &other.idx_array[0]
 *         cdef NodeData_t node_info1 = self.node_data[i_node1]
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]             # <<<<<<<<<<<<<<
 * 
 *         cdef ITYPE_t n_features = self.data.shape[1]
 */
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  __pyx_t_8 = __pyx_v_i_node2;
  __pyx_v_node_info2 = (*((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) ( /* dim=0 */ ((char *) (((struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) __pyx_v_other->node_data.data) + __pyx_t_8)) )));

  /* "sklearn/neighbors/binary_tree.pxi":2409
 *         cdef NodeData_t node_info2 = other.node_data[i_node2]
 * 
 *         cdef ITYPE_t n_features = self.data.shape[1]             # <<<<<<<<<<<<<<
 * 
 *         cdef ITYPE_t i1, i2, j, Npts
 */
  if (unlikely(!__pyx_v_self->data.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(0, 2409, __pyx_L1_error)}
  __pyx_v_n_features = (__pyx_v_self->data.shape[1]);

  /* "sklearn/neighbors/binary_tree.pxi":2414
 *         cdef DTYPE_t reduced_r
 * 
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0             # <<<<<<<<<<<<<<
 *         dist_LB = min_dist_dual(self, i_node1, other, i_node2)
 *         dist_UB = max_dist_dual(self, i_node1, other, i_node2)
 */
  __pyx_v_dist_LB = 0.0;
  __pyx_v_dist_UB = 0.0;

  /* "sklearn/neighbors/binary_tree.pxi":2415
 * 
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0
 *         dist_LB = min_dist_dual(self, i_node1, other, i_node2)             # <<<<<<<<<<<<<<
 *         dist_UB = max_dist_dual(self, i_node1, other, i_node2)
 * 
 */
  __pyx_t_9 = __pyx_f_7sklearn_9neighbors_7kd_tree_min_dist_dual(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, __pyx_v_i_node2); if (unlikely(__pyx_t_9 == -1.0)) __PYX_ERR(0, 2415, __pyx_L1_error)
  __pyx_v_dist_LB = __pyx_t_9;

  /* "sklearn/neighbors/binary_tree.pxi":2416
 *         cdef DTYPE_t dist_pt, dist_LB = 0, dist_UB = 0
 *         dist_LB = min_dist_dual(self, i_node1, other, i_node2)
 *         dist_UB = max_dist_dual(self, i_node1, other, i_node2)             # <<<<<<<<<<<<<<
 * 
 *         #------------------------------------------------------------
 */
  __pyx_t_9 = __pyx_f_7sklearn_9neighbors_7kd_tree_max_dist_dual(__pyx_v_self, __pyx_v_i_node1, __pyx_v_other, __pyx_v_i_node2); if (unlikely(__pyx_t_9 == -1.0)) __PYX_ERR(0, 2416, __pyx_L1_error)
  __pyx_v_dist_UB = __pyx_t_9;

  /* "sklearn/neighbors/binary_tree.pxi":2420
 *         #------------------------------------------------------------
 *         # Go through bounds and check for cuts
 *         while i_min < i_max:             # <<<<<<<<<<<<<<
 *             if dist_LB > r[i_min]:
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 */
  while (1) {
    __pyx_t_10 = ((__pyx_v_i_min < __pyx_v_i_max) != 0);
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    /* "sklearn/neighbors/binary_tree.pxi":2421
 *         # Go through bounds and check for cuts
 *         while i_min < i_max:
 *             if dist_LB > r[i_min]:             # <<<<<<<<<<<<<<
 *                 i_min += 1
 *             else:
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2422
 *         while i_min < i_max:
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 *                 i_min += 1             # <<<<<<<<<<<<<<
 *             else:
 *                 break
 */
      __pyx_v_i_min = (__pyx_v_i_min + 1);

      /* "sklearn/neighbors/binary_tree.pxi":2421
 *         # Go through bounds and check for cuts
 *         while i_min < i_max:
 *             if dist_LB > r[i_min]:             # <<<<<<<<<<<<<<
 *                 i_min += 1
 *             else:
 */
      goto __pyx_L5;
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    /* "sklearn/neighbors/binary_tree.pxi":2424
 *                 i_min += 1
 *             else:
 *                 break             # <<<<<<<<<<<<<<
 * 
 *         while i_max > i_min:
 */
    /*else*/ {
      goto __pyx_L4_break;
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  /* "sklearn/neighbors/binary_tree.pxi":2426
 *                 break
 * 
 *         while i_max > i_min:             # <<<<<<<<<<<<<<
 *             Npts = ((node_info1.idx_end - node_info1.idx_start)
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 */
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    __pyx_t_10 = ((__pyx_v_i_max > __pyx_v_i_min) != 0);
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    /* "sklearn/neighbors/binary_tree.pxi":2428
 *         while i_max > i_min:
 *             Npts = ((node_info1.idx_end - node_info1.idx_start)
 *                     * (node_info2.idx_end - node_info2.idx_start))             # <<<<<<<<<<<<<<
 *             if dist_UB <= r[i_max - 1]:
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    /* "sklearn/neighbors/binary_tree.pxi":2429
 *             Npts = ((node_info1.idx_end - node_info1.idx_start)
 *                     * (node_info2.idx_end - node_info2.idx_start))
 *             if dist_UB <= r[i_max - 1]:             # <<<<<<<<<<<<<<
 *                 count[i_max - 1] += Npts
 *                 i_max -= 1
 */
    __pyx_t_10 = ((__pyx_v_dist_UB <= (__pyx_v_r[(__pyx_v_i_max - 1)])) != 0);
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      /* "sklearn/neighbors/binary_tree.pxi":2430
 *                     * (node_info2.idx_end - node_info2.idx_start))
 *             if dist_UB <= r[i_max - 1]:
 *                 count[i_max - 1] += Npts             # <<<<<<<<<<<<<<
 *                 i_max -= 1
 *             else:
 */
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      /* "sklearn/neighbors/binary_tree.pxi":2431
 *             if dist_UB <= r[i_max - 1]:
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 *             else:
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 */
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 *             if dist_UB <= r[i_max - 1]:             # <<<<<<<<<<<<<<
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 *                 i_max -= 1
 */
      goto __pyx_L8;
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    /* "sklearn/neighbors/binary_tree.pxi":2433
 *                 i_max -= 1
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 * 
 *         if i_min < i_max:
 */
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  /* "sklearn/neighbors/binary_tree.pxi":2435
 *                 break
 * 
 *         if i_min < i_max:             # <<<<<<<<<<<<<<
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 */
  __pyx_t_10 = ((__pyx_v_i_min < __pyx_v_i_max) != 0);
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    /* "sklearn/neighbors/binary_tree.pxi":2436
 * 
 *         if i_min < i_max:
 *             if node_info1.is_leaf and node_info2.is_leaf:             # <<<<<<<<<<<<<<
 *                 # If both nodes are leaves, go through all points
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 */
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      /* "sklearn/neighbors/binary_tree.pxi":2438
 *             if node_info1.is_leaf and node_info2.is_leaf:
 *                 # If both nodes are leaves, go through all points
 *                 for i1 in range(node_info1.idx_start, node_info1.idx_end):             # <<<<<<<<<<<<<<
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        /* "sklearn/neighbors/binary_tree.pxi":2439
 *                 # If both nodes are leaves, go through all points
 *                 for i1 in range(node_info1.idx_start, node_info1.idx_end):
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          /* "sklearn/neighbors/binary_tree.pxi":2440
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 * 
 */
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 *     if tree.dist_metric.p == INF:
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 *         for j in range(n_features):
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 *             d_hi = pt[j] - tree.node_bounds[1, i_node, j]             # <<<<<<<<<<<<<<
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 *             d_lo = tree.node_bounds[0, i_node, j] - pt[j]
 *             d_hi = pt[j] - tree.node_bounds[1, i_node, j]
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 *             d = (d_lo + fabs(d_lo)) + (d_hi + fabs(d_hi))
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 *     cdef ITYPE_t j
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 */
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 *         # here we'll use the fact that x + abs(x) = 2 * max(x, 0)
 *         for j in range(n_features):
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 *             d_hi = pt[j] - tree.node_bounds[1, i_node, j]
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 * 
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 *     """Compute the minimum distance between a point and a node"""
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 *     else:
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 * cdef DTYPE_t min_dist(BinaryTree tree, ITYPE_t i_node, DTYPE_t* pt) except -1:
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 * 
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/* "sklearn/neighbors/kd_tree.pyx":119
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 *     else:
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 *             d_hi = fabs(pt[j] - tree.node_bounds[1, i_node, j])
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 * cdef DTYPE_t max_dist(BinaryTree tree, ITYPE_t i_node, DTYPE_t* pt) except -1:
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 */
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 *     if tree.dist_metric.p == INF:
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 *     if tree.dist_metric.p == INF:
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 *             d_lo = tree.node_bounds[0, i_node, j] - pt[j]             # <<<<<<<<<<<<<<
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 *                                fabs(pt[j] - tree.node_bounds[0, i_node, j]))
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 *             min_dist[0] += pow(0.5 * d, tree.dist_metric.p)
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 *             d_hi = pt[j] - tree.node_bounds[1, i_node, j]
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 *             d = (d_lo + fabs(d_lo)) + (d_hi + fabs(d_hi))
 *             min_dist[0] += pow(0.5 * d, tree.dist_metric.p)
 *             max_dist[0] += pow(fmax(fabs(d_lo), fabs(d_hi)),             # <<<<<<<<<<<<<<
 *                                tree.dist_metric.p)
 * 
 */
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 *             min_dist[0] += pow(0.5 * d, tree.dist_metric.p)
 *             max_dist[0] += pow(fmax(fabs(d_lo), fabs(d_hi)),
 *                                tree.dist_metric.p)             # <<<<<<<<<<<<<<
 * 
 *         min_dist[0] = pow(min_dist[0], 1. / tree.dist_metric.p)
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 *                                tree.dist_metric.p)
 * 
 *         min_dist[0] = pow(min_dist[0], 1. / tree.dist_metric.p)             # <<<<<<<<<<<<<<
 *         max_dist[0] = pow(max_dist[0], 1. / tree.dist_metric.p)
 * 
 */
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 * 
 *         min_dist[0] = pow(min_dist[0], 1. / tree.dist_metric.p)
 *         max_dist[0] = pow(max_dist[0], 1. / tree.dist_metric.p)             # <<<<<<<<<<<<<<
 * 
 *     return 0
 */
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 * 
 *     return 0             # <<<<<<<<<<<<<<
 * 
 * 
 */
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  goto __pyx_L0;

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 * 
 * 
 * cdef inline int min_max_dist(BinaryTree tree, ITYPE_t i_node, DTYPE_t* pt,             # <<<<<<<<<<<<<<
 *                              DTYPE_t* min_dist, DTYPE_t* max_dist) except -1:
 *     """Compute the minimum and maximum distance between a point and a node"""
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/* "sklearn/neighbors/kd_tree.pyx":185
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 * 
 * cdef inline DTYPE_t min_rdist_dual(BinaryTree tree1, ITYPE_t i_node1,             # <<<<<<<<<<<<<<
 *                                    BinaryTree tree2, ITYPE_t i_node2) except -1:
 *     """Compute the minimum reduced distance between two nodes"""
 */

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 *                                    BinaryTree tree2, ITYPE_t i_node2) except -1:
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 *     cdef ITYPE_t n_features = tree1.data.shape[1]             # <<<<<<<<<<<<<<
 * 
 *     cdef DTYPE_t d, d1, d2, rdist=0.0
 */
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 *     cdef ITYPE_t n_features = tree1.data.shape[1]
 * 
 *     cdef DTYPE_t d, d1, d2, rdist=0.0             # <<<<<<<<<<<<<<
 *     cdef DTYPE_t zero = 0.0
 *     cdef ITYPE_t j
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 * 
 *     cdef DTYPE_t d, d1, d2, rdist=0.0
 *     cdef DTYPE_t zero = 0.0             # <<<<<<<<<<<<<<
 *     cdef ITYPE_t j
 * 
 */
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 *     cdef ITYPE_t j
 * 
 *     if tree1.dist_metric.p == INF:             # <<<<<<<<<<<<<<
 *         for j in range(n_features):
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 * 
 *     if tree1.dist_metric.p == INF:
 *         for j in range(n_features):             # <<<<<<<<<<<<<<
 *             d1 = (tree1.node_bounds[0, i_node1, j]
 *                   - tree2.node_bounds[1, i_node2, j])
 */
    __pyx_t_2 = __pyx_v_n_features;
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      /* "sklearn/neighbors/kd_tree.pyx":196
 *     if tree1.dist_metric.p == INF:
 *         for j in range(n_features):
 *             d1 = (tree1.node_bounds[0, i_node1, j]             # <<<<<<<<<<<<<<
 *                   - tree2.node_bounds[1, i_node2, j])
 *             d2 = (tree2.node_bounds[0, i_node2, j]
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      __pyx_t_6 = __pyx_v_j;

      /* "sklearn/neighbors/kd_tree.pyx":197
 *         for j in range(n_features):
 *             d1 = (tree1.node_bounds[0, i_node1, j]
 *                   - tree2.node_bounds[1, i_node2, j])             # <<<<<<<<<<<<<<
 *             d2 = (tree2.node_bounds[0, i_node2, j]
 *                   - tree1.node_bounds[1, i_node1, j])
 */
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      __pyx_t_7 = 1;
      __pyx_t_8 = __pyx_v_i_node2;
      __pyx_t_9 = __pyx_v_j;
      __pyx_v_d1 = ((*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree1->node_bounds.data + __pyx_t_4 * __pyx_v_tree1->node_bounds.strides[0]) ) + __pyx_t_5 * __pyx_v_tree1->node_bounds.strides[1]) )) + __pyx_t_6)) ))) - (*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree2->node_bounds.data + __pyx_t_7 * __pyx_v_tree2->node_bounds.strides[0]) ) + __pyx_t_8 * __pyx_v_tree2->node_bounds.strides[1]) )) + __pyx_t_9)) ))));

      /* "sklearn/neighbors/kd_tree.pyx":198
 *             d1 = (tree1.node_bounds[0, i_node1, j]
 *                   - tree2.node_bounds[1, i_node2, j])
 *             d2 = (tree2.node_bounds[0, i_node2, j]             # <<<<<<<<<<<<<<
 *                   - tree1.node_bounds[1, i_node1, j])
 *             d = (d1 + fabs(d1)) + (d2 + fabs(d2))
 */
      if (unlikely(!__pyx_v_tree2->node_bounds.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(1, 198, __pyx_L1_error)}
      __pyx_t_10 = 0;
      __pyx_t_11 = __pyx_v_i_node2;
      __pyx_t_12 = __pyx_v_j;

      /* "sklearn/neighbors/kd_tree.pyx":199
 *                   - tree2.node_bounds[1, i_node2, j])
 *             d2 = (tree2.node_bounds[0, i_node2, j]
 *                   - tree1.node_bounds[1, i_node1, j])             # <<<<<<<<<<<<<<
 *             d = (d1 + fabs(d1)) + (d2 + fabs(d2))
 * 
 */
      if (unlikely(!__pyx_v_tree1->node_bounds.memview)) {PyErr_SetString(PyExc_AttributeError,"Memoryview is not initialized");__PYX_ERR(1, 199, __pyx_L1_error)}
      __pyx_t_13 = 1;
      __pyx_t_14 = __pyx_v_i_node1;
      __pyx_t_15 = __pyx_v_j;
      __pyx_v_d2 = ((*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree2->node_bounds.data + __pyx_t_10 * __pyx_v_tree2->node_bounds.strides[0]) ) + __pyx_t_11 * __pyx_v_tree2->node_bounds.strides[1]) )) + __pyx_t_12)) ))) - (*((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree1->node_bounds.data + __pyx_t_13 * __pyx_v_tree1->node_bounds.strides[0]) ) + __pyx_t_14 * __pyx_v_tree1->node_bounds.strides[1]) )) + __pyx_t_15)) ))));

      /* "sklearn/neighbors/kd_tree.pyx":200
 *             d2 = (tree2.node_bounds[0, i_node2, j]
 *                   - tree1.node_bounds[1, i_node1, j])
 *             d = (d1 + fabs(d1)) + (d2 + fabs(d2))             # <<<<<<<<<<<<<<
 * 
 *             rdist = fmax(rdist, 0.5 * d)
 */
      __pyx_v_d = ((__pyx_v_d1 + fabs(__pyx_v_d1)) + (__pyx_v_d2 + fabs(__pyx_v_d2)));

      /* "sklearn/neighbors/kd_tree.pyx":202
 *             d = (d1 + fabs(d1)) + (d2 + fabs(d2))
 * 
 *             rdist = fmax(rdist, 0.5 * d)             # <<<<<<<<<<<<<<
 *     else:
 *         # here we'll use the fact that x + abs(x) = 2 * max(x, 0)
 */
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    /* "sklearn/neighbors/kd_tree.pyx":194
 *     cdef ITYPE_t j
 * 
 *     if tree1.dist_metric.p == INF:             # <<<<<<<<<<<<<<
 *         for j in range(n_features):
 *             d1 = (tree1.node_bounds[0, i_node1, j]
 */
    goto __pyx_L3;
  }

  /* "sklearn/neighbors/kd_tree.pyx":205
 *     else:
 *         # here we'll use the fact that x + abs(x) = 2 * max(x, 0)
 *         for j in range(n_features):             # <<<<<<<<<<<<<<
 *             d1 = (tree1.node_bounds[0, i_node1, j]
 *                   - tree2.node_bounds[1, i_node2, j])
 */
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      /* "sklearn/neighbors/kd_tree.pyx":206
 *         # here we'll use the fact that x + abs(x) = 2 * max(x, 0)
 *         for j in range(n_features):
 *             d1 = (tree1.node_bounds[0, i_node1, j]             # <<<<<<<<<<<<<<
 *                   - tree2.node_bounds[1, i_node2, j])
 *             d2 = (tree2.node_bounds[0, i_node2, j]
 */
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      /* "sklearn/neighbors/kd_tree.pyx":207
 *         for j in range(n_features):
 *             d1 = (tree1.node_bounds[0, i_node1, j]
 *                   - tree2.node_bounds[1, i_node2, j])             # <<<<<<<<<<<<<<
 *             d2 = (tree2.node_bounds[0, i_node2, j]
 *                   - tree1.node_bounds[1, i_node1, j])
 */
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 *                   - tree2.node_bounds[1, i_node2, j])
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 * 
 */
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 *             d2 = (tree2.node_bounds[0, i_node2, j]
 *                   - tree1.node_bounds[1, i_node1, j])
 *             d = (d1 + fabs(d1)) + (d2 + fabs(d2))             # <<<<<<<<<<<<<<
 * 
 *             rdist += pow(0.5 * d, tree1.dist_metric.p)
 */
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      /* "sklearn/neighbors/kd_tree.pyx":212
 *             d = (d1 + fabs(d1)) + (d2 + fabs(d2))
 * 
 *             rdist += pow(0.5 * d, tree1.dist_metric.p)             # <<<<<<<<<<<<<<
 * 
 *     return rdist
 */
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  __pyx_L3:;

  /* "sklearn/neighbors/kd_tree.pyx":214
 *             rdist += pow(0.5 * d, tree1.dist_metric.p)
 * 
 *     return rdist             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_rdist;
  goto __pyx_L0;

  /* "sklearn/neighbors/kd_tree.pyx":185
 * 
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 */
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 */
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/* "View.MemoryView":793
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 */

static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) {
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 * 
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 */
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 */
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 */
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 */
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      /* "View.MemoryView":824
 * 
 *         if have_step and step == 0:
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 * 
 * 
 */
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 */
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 * 
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 */
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 *                 else:
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 *                     start = shape - 1
 *                 else:
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 *         else:
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 *                 if negative_step:
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 * 
 *         if have_start:             # <<<<<<<<<<<<<<
 *             if start < 0:
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 */
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 *                     start = shape
 *         else:
 *             if negative_step:             # <<<<<<<<<<<<<<
 *                 start = shape - 1
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        /* "View.MemoryView":838
 *                     start = shape
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 *         if have_stop:             # <<<<<<<<<<<<<<
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      /* "View.MemoryView":844
 * 
 *         if have_stop:
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      if (__pyx_t_2) {

        /* "View.MemoryView":845
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 *                     stop = 0
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        /* "View.MemoryView":846
 *             if stop < 0:
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          /* "View.MemoryView":847
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          /* "View.MemoryView":846
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        /* "View.MemoryView":844
 * 
 *         if have_stop:
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 *                 if stop < 0:
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      /* "View.MemoryView":848
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        /* "View.MemoryView":849
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        /* "View.MemoryView":848
 *                 if stop < 0:
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      /* "View.MemoryView":843
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    /* "View.MemoryView":851
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        /* "View.MemoryView":852
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        /* "View.MemoryView":851
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 */
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 *         if not have_step:
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 * 
 */
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 */
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 * cdef memoryview_copy(memoryview memview):             # <<<<<<<<<<<<<<
 *     "Create a new memoryview object"
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 */

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/* "View.MemoryView":1070
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 * @cname('__pyx_memoryview_copy_object_from_slice')
 * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice):             # <<<<<<<<<<<<<<
 *     """
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 */

static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) {
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  int (*__pyx_v_to_dtype_func)(char *, PyObject *);
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  int __pyx_t_2;
  PyObject *(*__pyx_t_3)(char *);
  int (*__pyx_t_4)(char *, PyObject *);
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 *     cdef int (*to_dtype_func)(char *, object) except 0
 * 
 *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<
 *         to_object_func = (<_memoryviewslice> memview).to_object_func
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    /* "View.MemoryView":1078
 * 
 *     if isinstance(memview, _memoryviewslice):
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 *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func
 *     else:
 */
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    /* "View.MemoryView":1079
 *     if isinstance(memview, _memoryviewslice):
 *         to_object_func = (<_memoryviewslice> memview).to_object_func
 *         to_dtype_func = (<_memoryviewslice> memview).to_dtype_func             # <<<<<<<<<<<<<<
 *     else:
 *         to_object_func = NULL
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 *     cdef int (*to_dtype_func)(char *, object) except 0
 * 
 *     if isinstance(memview, _memoryviewslice):             # <<<<<<<<<<<<<<
 *         to_object_func = (<_memoryviewslice> memview).to_object_func
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 *     else:
 *         to_object_func = NULL             # <<<<<<<<<<<<<<
 *         to_dtype_func = NULL
 * 
 */
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 *         to_object_func = NULL
 *         to_dtype_func = NULL             # <<<<<<<<<<<<<<
 * 
 *     return memoryview_fromslice(memviewslice[0], memview.view.ndim,
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 *         to_dtype_func = NULL
 * 
 *     return memoryview_fromslice(memviewslice[0], memview.view.ndim,             # <<<<<<<<<<<<<<
 *                                 to_object_func, to_dtype_func,
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 * 
 * 
 */
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  /* "View.MemoryView":1070
 * 
 * @cname('__pyx_memoryview_copy_object_from_slice')
 * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice):             # <<<<<<<<<<<<<<
 *     """
 *     Create a new memoryview object from a given memoryview object and slice.
 */

  /* function exit code */
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  __Pyx_XDECREF(__pyx_t_5);
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/* "View.MemoryView":1092
 * 
 * 
 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:             # <<<<<<<<<<<<<<
 *     if arg < 0:
 *         return -arg
 */

static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {
  Py_ssize_t __pyx_r;
  int __pyx_t_1;

  /* "View.MemoryView":1093
 * 
 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
 *     if arg < 0:             # <<<<<<<<<<<<<<
 *         return -arg
 *     else:
 */
  __pyx_t_1 = ((__pyx_v_arg < 0) != 0);
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    /* "View.MemoryView":1094
 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
 *     if arg < 0:
 *         return -arg             # <<<<<<<<<<<<<<
 *     else:
 *         return arg
 */
    __pyx_r = (-__pyx_v_arg);
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    /* "View.MemoryView":1093
 * 
 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
 *     if arg < 0:             # <<<<<<<<<<<<<<
 *         return -arg
 *     else:
 */
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  /* "View.MemoryView":1096
 *         return -arg
 *     else:
 *         return arg             # <<<<<<<<<<<<<<
 * 
 * @cname('__pyx_get_best_slice_order')
 */
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  /* "View.MemoryView":1092
 * 
 * 
 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:             # <<<<<<<<<<<<<<
 *     if arg < 0:
 *         return -arg
 */

  /* function exit code */
  __pyx_L0:;
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}

/* "View.MemoryView":1099
 * 
 * @cname('__pyx_get_best_slice_order')
 * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil:             # <<<<<<<<<<<<<<
 *     """
 *     Figure out the best memory access order for a given slice.
 */

static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {
  int __pyx_v_i;
  Py_ssize_t __pyx_v_c_stride;
  Py_ssize_t __pyx_v_f_stride;
  char __pyx_r;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;

  /* "View.MemoryView":1104
 *     """
 *     cdef int i
 *     cdef Py_ssize_t c_stride = 0             # <<<<<<<<<<<<<<
 *     cdef Py_ssize_t f_stride = 0
 * 
 */
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  /* "View.MemoryView":1105
 *     cdef int i
 *     cdef Py_ssize_t c_stride = 0
 *     cdef Py_ssize_t f_stride = 0             # <<<<<<<<<<<<<<
 * 
 *     for i in range(ndim - 1, -1, -1):
 */
  __pyx_v_f_stride = 0;

  /* "View.MemoryView":1107
 *     cdef Py_ssize_t f_stride = 0
 * 
 *     for i in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<
 *         if mslice.shape[i] > 1:
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 */
  for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1L; __pyx_t_1-=1) {
    __pyx_v_i = __pyx_t_1;

    /* "View.MemoryView":1108
 * 
 *     for i in range(ndim - 1, -1, -1):
 *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<
 *             c_stride = mslice.strides[i]
 *             break
 */
    __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
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      /* "View.MemoryView":1109
 *     for i in range(ndim - 1, -1, -1):
 *         if mslice.shape[i] > 1:
 *             c_stride = mslice.strides[i]             # <<<<<<<<<<<<<<
 *             break
 * 
 */
      __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);

      /* "View.MemoryView":1110
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 *             c_stride = mslice.strides[i]
 *             break             # <<<<<<<<<<<<<<
 * 
 *     for i in range(ndim):
 */
      goto __pyx_L4_break;

      /* "View.MemoryView":1108
 * 
 *     for i in range(ndim - 1, -1, -1):
 *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<
 *             c_stride = mslice.strides[i]
 *             break
 */
    }
  }
  __pyx_L4_break:;

  /* "View.MemoryView":1112
 *             break
 * 
 *     for i in range(ndim):             # <<<<<<<<<<<<<<
 *         if mslice.shape[i] > 1:
 *             f_stride = mslice.strides[i]
 */
  __pyx_t_1 = __pyx_v_ndim;
  for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3+=1) {
    __pyx_v_i = __pyx_t_3;

    /* "View.MemoryView":1113
 * 
 *     for i in range(ndim):
 *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<
 *             f_stride = mslice.strides[i]
 *             break
 */
    __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
    if (__pyx_t_2) {

      /* "View.MemoryView":1114
 *     for i in range(ndim):
 *         if mslice.shape[i] > 1:
 *             f_stride = mslice.strides[i]             # <<<<<<<<<<<<<<
 *             break
 * 
 */
      __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);

      /* "View.MemoryView":1115
 *         if mslice.shape[i] > 1:
 *             f_stride = mslice.strides[i]
 *             break             # <<<<<<<<<<<<<<
 * 
 *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
 */
      goto __pyx_L7_break;

      /* "View.MemoryView":1113
 * 
 *     for i in range(ndim):
 *         if mslice.shape[i] > 1:             # <<<<<<<<<<<<<<
 *             f_stride = mslice.strides[i]
 *             break
 */
    }
  }
  __pyx_L7_break:;

  /* "View.MemoryView":1117
 *             break
 * 
 *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):             # <<<<<<<<<<<<<<
 *         return 'C'
 *     else:
 */
  __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
  if (__pyx_t_2) {

    /* "View.MemoryView":1118
 * 
 *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
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 *     else:
 *         return 'F'
 */
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    /* "View.MemoryView":1117
 *             break
 * 
 *     if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):             # <<<<<<<<<<<<<<
 *         return 'C'
 *     else:
 */
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  /* "View.MemoryView":1120
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 *     else:
 *         return 'F'             # <<<<<<<<<<<<<<
 * 
 * @cython.cdivision(True)
 */
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  /* "View.MemoryView":1099
 * 
 * @cname('__pyx_get_best_slice_order')
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 *     """
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/* "View.MemoryView":1123
 * 
 * @cython.cdivision(True)
 * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides,             # <<<<<<<<<<<<<<
 *                                    char *dst_data, Py_ssize_t *dst_strides,
 *                                    Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
 */

static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
  CYTHON_UNUSED Py_ssize_t __pyx_v_i;
  CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
  Py_ssize_t __pyx_v_dst_extent;
  Py_ssize_t __pyx_v_src_stride;
  Py_ssize_t __pyx_v_dst_stride;
  int __pyx_t_1;
  int __pyx_t_2;
  int __pyx_t_3;
  Py_ssize_t __pyx_t_4;
  Py_ssize_t __pyx_t_5;

  /* "View.MemoryView":1130
 * 
 *     cdef Py_ssize_t i
 *     cdef Py_ssize_t src_extent = src_shape[0]             # <<<<<<<<<<<<<<
 *     cdef Py_ssize_t dst_extent = dst_shape[0]
 *     cdef Py_ssize_t src_stride = src_strides[0]
 */
  __pyx_v_src_extent = (__pyx_v_src_shape[0]);

  /* "View.MemoryView":1131
 *     cdef Py_ssize_t i
 *     cdef Py_ssize_t src_extent = src_shape[0]
 *     cdef Py_ssize_t dst_extent = dst_shape[0]             # <<<<<<<<<<<<<<
 *     cdef Py_ssize_t src_stride = src_strides[0]
 *     cdef Py_ssize_t dst_stride = dst_strides[0]
 */
  __pyx_v_dst_extent = (__pyx_v_dst_shape[0]);

  /* "View.MemoryView":1132
 *     cdef Py_ssize_t src_extent = src_shape[0]
 *     cdef Py_ssize_t dst_extent = dst_shape[0]
 *     cdef Py_ssize_t src_stride = src_strides[0]             # <<<<<<<<<<<<<<
 *     cdef Py_ssize_t dst_stride = dst_strides[0]
 * 
 */
  __pyx_v_src_stride = (__pyx_v_src_strides[0]);

  /* "View.MemoryView":1133
 *     cdef Py_ssize_t dst_extent = dst_shape[0]
 *     cdef Py_ssize_t src_stride = src_strides[0]
 *     cdef Py_ssize_t dst_stride = dst_strides[0]             # <<<<<<<<<<<<<<
 * 
 *     if ndim == 1:
 */
  __pyx_v_dst_stride = (__pyx_v_dst_strides[0]);

  /* "View.MemoryView":1135
 *     cdef Py_ssize_t dst_stride = dst_strides[0]
 * 
 *     if ndim == 1:             # <<<<<<<<<<<<<<
 *        if (src_stride > 0 and dst_stride > 0 and
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 */
  __pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
  if (__pyx_t_1) {

    /* "View.MemoryView":1136
 * 
 *     if ndim == 1:
 *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<
 *            <size_t> src_stride == itemsize == <size_t> dst_stride):
 *            memcpy(dst_data, src_data, itemsize * dst_extent)
 */
    __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
    if (__pyx_t_2) {
    } else {
      __pyx_t_1 = __pyx_t_2;
      goto __pyx_L5_bool_binop_done;
    }
    __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
    if (__pyx_t_2) {
    } else {
      __pyx_t_1 = __pyx_t_2;
      goto __pyx_L5_bool_binop_done;
    }

    /* "View.MemoryView":1137
 *     if ndim == 1:
 *        if (src_stride > 0 and dst_stride > 0 and
 *            <size_t> src_stride == itemsize == <size_t> dst_stride):             # <<<<<<<<<<<<<<
 *            memcpy(dst_data, src_data, itemsize * dst_extent)
 *        else:
 */
    __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
    if (__pyx_t_2) {
      __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
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    __pyx_t_3 = (__pyx_t_2 != 0);
    __pyx_t_1 = __pyx_t_3;
    __pyx_L5_bool_binop_done:;

    /* "View.MemoryView":1136
 * 
 *     if ndim == 1:
 *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<
 *            <size_t> src_stride == itemsize == <size_t> dst_stride):
 *            memcpy(dst_data, src_data, itemsize * dst_extent)
 */
    if (__pyx_t_1) {

      /* "View.MemoryView":1138
 *        if (src_stride > 0 and dst_stride > 0 and
 *            <size_t> src_stride == itemsize == <size_t> dst_stride):
 *            memcpy(dst_data, src_data, itemsize * dst_extent)             # <<<<<<<<<<<<<<
 *        else:
 *            for i in range(dst_extent):
 */
      memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent));

      /* "View.MemoryView":1136
 * 
 *     if ndim == 1:
 *        if (src_stride > 0 and dst_stride > 0 and             # <<<<<<<<<<<<<<
 *            <size_t> src_stride == itemsize == <size_t> dst_stride):
 *            memcpy(dst_data, src_data, itemsize * dst_extent)
 */
      goto __pyx_L4;
    }

    /* "View.MemoryView":1140
 *            memcpy(dst_data, src_data, itemsize * dst_extent)
 *        else:
 *            for i in range(dst_extent):             # <<<<<<<<<<<<<<
 *                memcpy(dst_data, src_data, itemsize)
 *                src_data += src_stride
 */
    /*else*/ {
      __pyx_t_4 = __pyx_v_dst_extent;
      for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
        __pyx_v_i = __pyx_t_5;

        /* "View.MemoryView":1141
 *        else:
 *            for i in range(dst_extent):
 *                memcpy(dst_data, src_data, itemsize)             # <<<<<<<<<<<<<<
 *                src_data += src_stride
 *                dst_data += dst_stride
 */
        memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize);

        /* "View.MemoryView":1142
 *            for i in range(dst_extent):
 *                memcpy(dst_data, src_data, itemsize)
 *                src_data += src_stride             # <<<<<<<<<<<<<<
 *                dst_data += dst_stride
 *     else:
 */
        __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);

        /* "View.MemoryView":1143
 *                memcpy(dst_data, src_data, itemsize)
 *                src_data += src_stride
 *                dst_data += dst_stride             # <<<<<<<<<<<<<<
 *     else:
 *         for i in range(dst_extent):
 */
        __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
      }
    }
    __pyx_L4:;

    /* "View.MemoryView":1135
 *     cdef Py_ssize_t dst_stride = dst_strides[0]
 * 
 *     if ndim == 1:             # <<<<<<<<<<<<<<
 *        if (src_stride > 0 and dst_stride > 0 and
 *            <size_t> src_stride == itemsize == <size_t> dst_stride):
 */
    goto __pyx_L3;
  }

  /* "View.MemoryView":1145
 *                dst_data += dst_stride
 *     else:
 *         for i in range(dst_extent):             # <<<<<<<<<<<<<<
 *             _copy_strided_to_strided(src_data, src_strides + 1,
 *                                      dst_data, dst_strides + 1,
 */
  /*else*/ {
    __pyx_t_4 = __pyx_v_dst_extent;
    for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) {
      __pyx_v_i = __pyx_t_5;

      /* "View.MemoryView":1146
 *     else:
 *         for i in range(dst_extent):
 *             _copy_strided_to_strided(src_data, src_strides + 1,             # <<<<<<<<<<<<<<
 *                                      dst_data, dst_strides + 1,
 *                                      src_shape + 1, dst_shape + 1,
 */
      _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);

      /* "View.MemoryView":1150
 *                                      src_shape + 1, dst_shape + 1,
 *                                      ndim - 1, itemsize)
 *             src_data += src_stride             # <<<<<<<<<<<<<<
 *             dst_data += dst_stride
 * 
 */
      __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);

      /* "View.MemoryView":1151
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 * 
 * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
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 * 
 * @cython.cdivision(True)
 * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides,             # <<<<<<<<<<<<<<
 *                                    char *dst_data, Py_ssize_t *dst_strides,
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  /* function exit code */
}

/* "View.MemoryView":1153
 *             dst_data += dst_stride
 * 
 * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<
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static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {

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 */
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 * 
 * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,             # <<<<<<<<<<<<<<
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 */

  /* function exit code */
}

/* "View.MemoryView":1160
 * 
 * @cname('__pyx_memoryview_slice_get_size')
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static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
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 * 
 *     for i in range(ndim):
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  /* "View.MemoryView":1165
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 * 
 *     for i in range(ndim):             # <<<<<<<<<<<<<<
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 */
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 * 
 *     for i in range(ndim):
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 * 
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 */
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 * @cname('__pyx_memoryview_slice_get_size')
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/* "View.MemoryView":1171
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static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
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 *     if not broadcasting:             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
  if (__pyx_t_2) {

    /* "View.MemoryView":1297
 * 
 * 
 *         if slice_is_contig(src, 'C', ndim):             # <<<<<<<<<<<<<<
 *             direct_copy = slice_is_contig(dst, 'C', ndim)
 *         elif slice_is_contig(src, 'F', ndim):
 */
    __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
    if (__pyx_t_2) {

      /* "View.MemoryView":1298
 * 
 *         if slice_is_contig(src, 'C', ndim):
 *             direct_copy = slice_is_contig(dst, 'C', ndim)             # <<<<<<<<<<<<<<
 *         elif slice_is_contig(src, 'F', ndim):
 *             direct_copy = slice_is_contig(dst, 'F', ndim)
 */
      __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);

      /* "View.MemoryView":1297
 * 
 * 
 *         if slice_is_contig(src, 'C', ndim):             # <<<<<<<<<<<<<<
 *             direct_copy = slice_is_contig(dst, 'C', ndim)
 *         elif slice_is_contig(src, 'F', ndim):
 */
      goto __pyx_L12;
    }

    /* "View.MemoryView":1299
 *         if slice_is_contig(src, 'C', ndim):
 *             direct_copy = slice_is_contig(dst, 'C', ndim)
 *         elif slice_is_contig(src, 'F', ndim):             # <<<<<<<<<<<<<<
 *             direct_copy = slice_is_contig(dst, 'F', ndim)
 * 
 */
    __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
    if (__pyx_t_2) {

      /* "View.MemoryView":1300
 *             direct_copy = slice_is_contig(dst, 'C', ndim)
 *         elif slice_is_contig(src, 'F', ndim):
 *             direct_copy = slice_is_contig(dst, 'F', ndim)             # <<<<<<<<<<<<<<
 * 
 *         if direct_copy:
 */
      __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);

      /* "View.MemoryView":1299
 *         if slice_is_contig(src, 'C', ndim):
 *             direct_copy = slice_is_contig(dst, 'C', ndim)
 *         elif slice_is_contig(src, 'F', ndim):             # <<<<<<<<<<<<<<
 *             direct_copy = slice_is_contig(dst, 'F', ndim)
 * 
 */
    }
    __pyx_L12:;

    /* "View.MemoryView":1302
 *             direct_copy = slice_is_contig(dst, 'F', ndim)
 * 
 *         if direct_copy:             # <<<<<<<<<<<<<<
 * 
 *             refcount_copying(&dst, dtype_is_object, ndim, False)
 */
    __pyx_t_2 = (__pyx_v_direct_copy != 0);
    if (__pyx_t_2) {

      /* "View.MemoryView":1304
 *         if direct_copy:
 * 
 *             refcount_copying(&dst, dtype_is_object, ndim, False)             # <<<<<<<<<<<<<<
 *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))
 *             refcount_copying(&dst, dtype_is_object, ndim, True)
 */
      __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);

      /* "View.MemoryView":1305
 * 
 *             refcount_copying(&dst, dtype_is_object, ndim, False)
 *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))             # <<<<<<<<<<<<<<
 *             refcount_copying(&dst, dtype_is_object, ndim, True)
 *             free(tmpdata)
 */
      memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim));

      /* "View.MemoryView":1306
 *             refcount_copying(&dst, dtype_is_object, ndim, False)
 *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))
 *             refcount_copying(&dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<
 *             free(tmpdata)
 *             return 0
 */
      __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);

      /* "View.MemoryView":1307
 *             memcpy(dst.data, src.data, slice_get_size(&src, ndim))
 *             refcount_copying(&dst, dtype_is_object, ndim, True)
 *             free(tmpdata)             # <<<<<<<<<<<<<<
 *             return 0
 * 
 */
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      /* "View.MemoryView":1308
 *             refcount_copying(&dst, dtype_is_object, ndim, True)
 *             free(tmpdata)
 *             return 0             # <<<<<<<<<<<<<<
 * 
 *     if order == 'F' == get_best_order(&dst, ndim):
 */
      __pyx_r = 0;
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      /* "View.MemoryView":1302
 *             direct_copy = slice_is_contig(dst, 'F', ndim)
 * 
 *         if direct_copy:             # <<<<<<<<<<<<<<
 * 
 *             refcount_copying(&dst, dtype_is_object, ndim, False)
 */
    }

    /* "View.MemoryView":1294
 *         src = tmp
 * 
 *     if not broadcasting:             # <<<<<<<<<<<<<<
 * 
 * 
 */
  }

  /* "View.MemoryView":1310
 *             return 0
 * 
 *     if order == 'F' == get_best_order(&dst, ndim):             # <<<<<<<<<<<<<<
 * 
 * 
 */
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  if (__pyx_t_2) {
    __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
  }
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    /* "View.MemoryView":1313
 * 
 * 
 *         transpose_memslice(&src)             # <<<<<<<<<<<<<<
 *         transpose_memslice(&dst)
 * 
 */
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    /* "View.MemoryView":1314
 * 
 *         transpose_memslice(&src)
 *         transpose_memslice(&dst)             # <<<<<<<<<<<<<<
 * 
 *     refcount_copying(&dst, dtype_is_object, ndim, False)
 */
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 *             return 0
 * 
 *     if order == 'F' == get_best_order(&dst, ndim):             # <<<<<<<<<<<<<<
 * 
 * 
 */
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 *         transpose_memslice(&dst)
 * 
 *     refcount_copying(&dst, dtype_is_object, ndim, False)             # <<<<<<<<<<<<<<
 *     copy_strided_to_strided(&src, &dst, ndim, itemsize)
 *     refcount_copying(&dst, dtype_is_object, ndim, True)
 */
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  /* "View.MemoryView":1317
 * 
 *     refcount_copying(&dst, dtype_is_object, ndim, False)
 *     copy_strided_to_strided(&src, &dst, ndim, itemsize)             # <<<<<<<<<<<<<<
 *     refcount_copying(&dst, dtype_is_object, ndim, True)
 * 
 */
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  /* "View.MemoryView":1318
 *     refcount_copying(&dst, dtype_is_object, ndim, False)
 *     copy_strided_to_strided(&src, &dst, ndim, itemsize)
 *     refcount_copying(&dst, dtype_is_object, ndim, True)             # <<<<<<<<<<<<<<
 * 
 *     free(tmpdata)
 */
  __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);

  /* "View.MemoryView":1320
 *     refcount_copying(&dst, dtype_is_object, ndim, True)
 * 
 *     free(tmpdata)             # <<<<<<<<<<<<<<
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 * 
 */
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 * 
 *     free(tmpdata)
 *     return 0             # <<<<<<<<<<<<<<
 * 
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 * cdef int memoryview_copy_contents(__Pyx_memviewslice src,             # <<<<<<<<<<<<<<
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/* "View.MemoryView":1324
 * 
 * @cname('__pyx_memoryview_broadcast_leading')
 * cdef void broadcast_leading(__Pyx_memviewslice *mslice,             # <<<<<<<<<<<<<<
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 *                             int ndim_other) nogil:
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static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim, int __pyx_v_ndim_other) {
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 *     for i in range(ndim - 1, -1, -1):
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 * 
 *     for i in range(ndim - 1, -1, -1):             # <<<<<<<<<<<<<<
 *         mslice.shape[i + offset] = mslice.shape[i]
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 * 
 *     for i in range(ndim - 1, -1, -1):
 *         mslice.shape[i + offset] = mslice.shape[i]             # <<<<<<<<<<<<<<
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 */
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 *         mslice.strides[i + offset] = mslice.strides[i]
 *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]             # <<<<<<<<<<<<<<
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 *     for i in range(offset):
 */
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 *         mslice.suboffsets[i + offset] = mslice.suboffsets[i]
 * 
 *     for i in range(offset):             # <<<<<<<<<<<<<<
 *         mslice.shape[i] = 1
 *         mslice.strides[i] = mslice.strides[0]
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    /* "View.MemoryView":1336
 * 
 *     for i in range(offset):
 *         mslice.shape[i] = 1             # <<<<<<<<<<<<<<
 *         mslice.strides[i] = mslice.strides[0]
 *         mslice.suboffsets[i] = -1
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    /* "View.MemoryView":1337
 *     for i in range(offset):
 *         mslice.shape[i] = 1
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 *         mslice.suboffsets[i] = -1
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 */
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 *         mslice.suboffsets[i] = -1             # <<<<<<<<<<<<<<
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 * 
 */
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 * @cname('__pyx_memoryview_broadcast_leading')
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/* "View.MemoryView":1346
 * 
 * @cname('__pyx_memoryview_refcount_copying')
 * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object,             # <<<<<<<<<<<<<<
 *                            int ndim, bint inc) nogil:
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static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) {
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 * 
 *     if dtype_is_object:             # <<<<<<<<<<<<<<
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 */
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 * 
 * 
 *     if dtype_is_object:             # <<<<<<<<<<<<<<
 *         refcount_objects_in_slice_with_gil(dst.data, dst.shape,
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 * 
 * @cname('__pyx_memoryview_refcount_copying')
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  /* function exit code */
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/* "View.MemoryView":1355
 * 
 * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
 * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape,             # <<<<<<<<<<<<<<
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static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {
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 * @cname('__pyx_memoryview_refcount_objects_in_slice')
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 * 
 * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
 * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape,             # <<<<<<<<<<<<<<
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/* "View.MemoryView":1361
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static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {
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 * 
 *     for i in range(shape[0]):
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 *                 Py_INCREF((<PyObject **> data)[0])
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 * 
 * @cname('__pyx_memoryview_refcount_objects_in_slice')
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/* "View.MemoryView":1381
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static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) {

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 */
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  } else {
    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
  }
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *)o);
  p->__pyx_vtab = __pyx_vtabptr_7sklearn_9neighbors_7kd_tree_NeighborsHeap;
  p->distances_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->indices_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->distances.data = NULL;
  p->distances.memview = NULL;
  p->indices.data = NULL;
  p->indices.memview = NULL;
  if (unlikely(__pyx_pw_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_1__cinit__(o, __pyx_empty_tuple, NULL) < 0)) {
    Py_DECREF(o); o = 0;
  }
  return o;
}

static void __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_NeighborsHeap(PyObject *o) {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->distances_arr);
  Py_CLEAR(p->indices_arr);
  __PYX_XDEC_MEMVIEW(&p->distances, 1);
  __PYX_XDEC_MEMVIEW(&p->indices, 1);
  (*Py_TYPE(o)->tp_free)(o);
}

static int __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_NeighborsHeap(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *)o;
  if (p->distances_arr) {
    e = (*v)(((PyObject*)p->distances_arr), a); if (e) return e;
  }
  if (p->indices_arr) {
    e = (*v)(((PyObject*)p->indices_arr), a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_NeighborsHeap(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap *)o;
  tmp = ((PyObject*)p->distances_arr);
  p->distances_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->indices_arr);
  p->indices_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyMethodDef __pyx_methods_7sklearn_9neighbors_7kd_tree_NeighborsHeap[] = {
  {"get_arrays", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_5get_arrays, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_4get_arrays},
  {"push", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_7push, METH_VARARGS|METH_KEYWORDS, 0},
  {0, 0, 0, 0}
};

static PyTypeObject __pyx_type_7sklearn_9neighbors_7kd_tree_NeighborsHeap = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.NeighborsHeap", /*tp_name*/
  sizeof(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NeighborsHeap), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_NeighborsHeap, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  "A max-heap structure to keep track of distances/indices of neighbors\n\n    This implements an efficient pre-allocated set of fixed-size heaps\n    for chasing neighbors, holding both an index and a distance.\n    When any row of the heap is full, adding an additional point will push\n    the furthest point off the heap.\n\n    Parameters\n    ----------\n    n_pts : int\n        the number of heaps to use\n    n_nbrs : int\n        the size of each heap.\n    ", /*tp_doc*/
  __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_NeighborsHeap, /*tp_traverse*/
  __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_NeighborsHeap, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods_7sklearn_9neighbors_7kd_tree_NeighborsHeap, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  __pyx_pw_7sklearn_9neighbors_7kd_tree_13NeighborsHeap_3__init__, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_7sklearn_9neighbors_7kd_tree_NeighborsHeap, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_NodeHeap __pyx_vtable_7sklearn_9neighbors_7kd_tree_NodeHeap;

static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_NodeHeap(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *p;
  PyObject *o;
  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
    o = (*t->tp_alloc)(t, 0);
  } else {
    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
  }
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *)o);
  p->__pyx_vtab = __pyx_vtabptr_7sklearn_9neighbors_7kd_tree_NodeHeap;
  p->data_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->data.data = NULL;
  p->data.memview = NULL;
  if (unlikely(__pyx_pw_7sklearn_9neighbors_7kd_tree_8NodeHeap_1__cinit__(o, __pyx_empty_tuple, NULL) < 0)) {
    Py_DECREF(o); o = 0;
  }
  return o;
}

static void __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_NodeHeap(PyObject *o) {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->data_arr);
  __PYX_XDEC_MEMVIEW(&p->data, 1);
  (*Py_TYPE(o)->tp_free)(o);
}

static int __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_NodeHeap(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *)o;
  if (p->data_arr) {
    e = (*v)(((PyObject*)p->data_arr), a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_NodeHeap(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap *)o;
  tmp = ((PyObject*)p->data_arr);
  p->data_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyMethodDef __pyx_methods_7sklearn_9neighbors_7kd_tree_NodeHeap[] = {
  {0, 0, 0, 0}
};

static PyTypeObject __pyx_type_7sklearn_9neighbors_7kd_tree_NodeHeap = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.NodeHeap", /*tp_name*/
  sizeof(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_NodeHeap), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_NodeHeap, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  "NodeHeap\n\n    This is a min-heap implementation for keeping track of nodes\n    during a breadth-first search.  Unlike the NeighborsHeap above,\n    the NodeHeap does not have a fixed size and must be able to grow\n    as elements are added.\n\n    Internally, the data is stored in a simple binary heap which meets\n    the min heap condition:\n\n        heap[i].val < min(heap[2 * i + 1].val, heap[2 * i + 2].val)\n    ", /*tp_doc*/
  __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_NodeHeap, /*tp_traverse*/
  __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_NodeHeap, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods_7sklearn_9neighbors_7kd_tree_NodeHeap, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  __pyx_pw_7sklearn_9neighbors_7kd_tree_8NodeHeap_3__init__, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_7sklearn_9neighbors_7kd_tree_NodeHeap, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree __pyx_vtable_7sklearn_9neighbors_7kd_tree_BinaryTree;

static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_BinaryTree(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *p;
  PyObject *o;
  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
    o = (*t->tp_alloc)(t, 0);
  } else {
    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
  }
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *)o);
  p->__pyx_vtab = __pyx_vtabptr_7sklearn_9neighbors_7kd_tree_BinaryTree;
  p->data_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->idx_array_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->node_data_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->node_bounds_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  p->dist_metric = ((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)Py_None); Py_INCREF(Py_None);
  p->data.data = NULL;
  p->data.memview = NULL;
  p->idx_array.data = NULL;
  p->idx_array.memview = NULL;
  p->node_data.data = NULL;
  p->node_data.memview = NULL;
  p->node_bounds.data = NULL;
  p->node_bounds.memview = NULL;
  if (unlikely(__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_1__cinit__(o, __pyx_empty_tuple, NULL) < 0)) {
    Py_DECREF(o); o = 0;
  }
  return o;
}

static void __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_BinaryTree(PyObject *o) {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->data_arr);
  Py_CLEAR(p->idx_array_arr);
  Py_CLEAR(p->node_data_arr);
  Py_CLEAR(p->node_bounds_arr);
  Py_CLEAR(p->dist_metric);
  __PYX_XDEC_MEMVIEW(&p->data, 1);
  __PYX_XDEC_MEMVIEW(&p->idx_array, 1);
  __PYX_XDEC_MEMVIEW(&p->node_data, 1);
  __PYX_XDEC_MEMVIEW(&p->node_bounds, 1);
  (*Py_TYPE(o)->tp_free)(o);
}

static int __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_BinaryTree(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *)o;
  if (p->data_arr) {
    e = (*v)(((PyObject*)p->data_arr), a); if (e) return e;
  }
  if (p->idx_array_arr) {
    e = (*v)(((PyObject*)p->idx_array_arr), a); if (e) return e;
  }
  if (p->node_data_arr) {
    e = (*v)(((PyObject*)p->node_data_arr), a); if (e) return e;
  }
  if (p->node_bounds_arr) {
    e = (*v)(((PyObject*)p->node_bounds_arr), a); if (e) return e;
  }
  if (p->dist_metric) {
    e = (*v)(((PyObject*)p->dist_metric), a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_BinaryTree(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *p = (struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree *)o;
  tmp = ((PyObject*)p->data_arr);
  p->data_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->idx_array_arr);
  p->idx_array_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->node_data_arr);
  p->node_data_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->node_bounds_arr);
  p->node_bounds_arr = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->dist_metric);
  p->dist_metric = ((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyObject *__pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_data(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_4data_1__get__(o);
}

static PyObject *__pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_idx_array(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_9idx_array_1__get__(o);
}

static int __pyx_setprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_idx_array(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
  if (v) {
    return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_9idx_array_3__set__(o, v);
  }
  else {
    PyErr_SetString(PyExc_NotImplementedError, "__del__");
    return -1;
  }
}

static PyObject *__pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_data(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_9node_data_1__get__(o);
}

static int __pyx_setprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_data(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
  if (v) {
    return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_9node_data_3__set__(o, v);
  }
  else {
    PyErr_SetString(PyExc_NotImplementedError, "__del__");
    return -1;
  }
}

static PyObject *__pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_bounds(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_11node_bounds_1__get__(o);
}

static int __pyx_setprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_bounds(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
  if (v) {
    return __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_11node_bounds_3__set__(o, v);
  }
  else {
    PyErr_SetString(PyExc_NotImplementedError, "__del__");
    return -1;
  }
}

static PyMethodDef __pyx_methods_7sklearn_9neighbors_7kd_tree_BinaryTree[] = {
  {"__reduce__", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_5__reduce__, METH_NOARGS, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_4__reduce__},
  {"__getstate__", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_7__getstate__, METH_NOARGS, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_6__getstate__},
  {"__setstate__", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_9__setstate__, METH_O, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_8__setstate__},
  {"get_tree_stats", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_11get_tree_stats, METH_NOARGS, 0},
  {"reset_n_calls", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_13reset_n_calls, METH_NOARGS, 0},
  {"get_n_calls", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_15get_n_calls, METH_NOARGS, 0},
  {"get_arrays", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_17get_arrays, METH_NOARGS, 0},
  {"query", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_19query, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_18query},
  {"query_radius", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_21query_radius, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_20query_radius},
  {"kernel_density", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_23kernel_density, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_22kernel_density},
  {"two_point_correlation", (PyCFunction)__pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_25two_point_correlation, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_9neighbors_7kd_tree_10BinaryTree_24two_point_correlation},
  {0, 0, 0, 0}
};

static struct PyGetSetDef __pyx_getsets_7sklearn_9neighbors_7kd_tree_BinaryTree[] = {
  {(char *)"data", __pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_data, 0, (char *)0, 0},
  {(char *)"idx_array", __pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_idx_array, __pyx_setprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_idx_array, (char *)0, 0},
  {(char *)"node_data", __pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_data, __pyx_setprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_data, (char *)0, 0},
  {(char *)"node_bounds", __pyx_getprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_bounds, __pyx_setprop_7sklearn_9neighbors_7kd_tree_10BinaryTree_node_bounds, (char *)0, 0},
  {0, 0, 0, 0, 0}
};

static PyTypeObject __pyx_type_7sklearn_9neighbors_7kd_tree_BinaryTree = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.BinaryTree", /*tp_name*/
  sizeof(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_BinaryTree), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_traverse*/
  __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_methods*/
  0, /*tp_members*/
  __pyx_getsets_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_3__init__, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};
static struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_KDTree __pyx_vtable_7sklearn_9neighbors_7kd_tree_KDTree;

static PyObject *__pyx_tp_new_7sklearn_9neighbors_7kd_tree_KDTree(PyTypeObject *t, PyObject *a, PyObject *k) {
  struct __pyx_obj_7sklearn_9neighbors_7kd_tree_KDTree *p;
  PyObject *o = __pyx_tp_new_7sklearn_9neighbors_7kd_tree_BinaryTree(t, a, k);
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_obj_7sklearn_9neighbors_7kd_tree_KDTree *)o);
  p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_7sklearn_9neighbors_7kd_tree_BinaryTree*)__pyx_vtabptr_7sklearn_9neighbors_7kd_tree_KDTree;
  return o;
}

static PyTypeObject __pyx_type_7sklearn_9neighbors_7kd_tree_KDTree = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.KDTree", /*tp_name*/
  sizeof(struct __pyx_obj_7sklearn_9neighbors_7kd_tree_KDTree), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_traverse*/
  __pyx_tp_clear_7sklearn_9neighbors_7kd_tree_BinaryTree, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  #if CYTHON_COMPILING_IN_PYPY
  __pyx_pw_7sklearn_9neighbors_7kd_tree_10BinaryTree_3__init__, /*tp_init*/
  #else
  0, /*tp_init*/
  #endif
  0, /*tp_alloc*/
  __pyx_tp_new_7sklearn_9neighbors_7kd_tree_KDTree, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};
static struct __pyx_vtabstruct_array __pyx_vtable_array;

static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) {
  struct __pyx_array_obj *p;
  PyObject *o;
  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
    o = (*t->tp_alloc)(t, 0);
  } else {
    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
  }
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_array_obj *)o);
  p->__pyx_vtab = __pyx_vtabptr_array;
  p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None);
  p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None);
  if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) {
    Py_DECREF(o); o = 0;
  }
  return o;
}

static void __pyx_tp_dealloc_array(PyObject *o) {
  struct __pyx_array_obj *p = (struct __pyx_array_obj *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && (!PyType_IS_GC(Py_TYPE(o)) || !_PyGC_FINALIZED(o))) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  {
    PyObject *etype, *eval, *etb;
    PyErr_Fetch(&etype, &eval, &etb);
    ++Py_REFCNT(o);
    __pyx_array___dealloc__(o);
    --Py_REFCNT(o);
    PyErr_Restore(etype, eval, etb);
  }
  Py_CLEAR(p->mode);
  Py_CLEAR(p->_format);
  (*Py_TYPE(o)->tp_free)(o);
}
static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) {
  PyObject *r;
  PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
  r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
  Py_DECREF(x);
  return r;
}

static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) {
  if (v) {
    return __pyx_array___setitem__(o, i, v);
  }
  else {
    PyErr_Format(PyExc_NotImplementedError,
      "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
    return -1;
  }
}

static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) {
  PyObject *v = PyObject_GenericGetAttr(o, n);
  if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) {
    PyErr_Clear();
    v = __pyx_array___getattr__(o, n);
  }
  return v;
}

static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_5array_7memview_1__get__(o);
}

static PyMethodDef __pyx_methods_array[] = {
  {"__getattr__", (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, 0},
  {0, 0, 0, 0}
};

static struct PyGetSetDef __pyx_getsets_array[] = {
  {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, (char *)0, 0},
  {0, 0, 0, 0, 0}
};

static PySequenceMethods __pyx_tp_as_sequence_array = {
  0, /*sq_length*/
  0, /*sq_concat*/
  0, /*sq_repeat*/
  __pyx_sq_item_array, /*sq_item*/
  0, /*sq_slice*/
  0, /*sq_ass_item*/
  0, /*sq_ass_slice*/
  0, /*sq_contains*/
  0, /*sq_inplace_concat*/
  0, /*sq_inplace_repeat*/
};

static PyMappingMethods __pyx_tp_as_mapping_array = {
  0, /*mp_length*/
  __pyx_array___getitem__, /*mp_subscript*/
  __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/
};

static PyBufferProcs __pyx_tp_as_buffer_array = {
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getreadbuffer*/
  #endif
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getwritebuffer*/
  #endif
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getsegcount*/
  #endif
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getcharbuffer*/
  #endif
  __pyx_array_getbuffer, /*bf_getbuffer*/
  0, /*bf_releasebuffer*/
};

static PyTypeObject __pyx_type___pyx_array = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.array", /*tp_name*/
  sizeof(struct __pyx_array_obj), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_array, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  &__pyx_tp_as_sequence_array, /*tp_as_sequence*/
  &__pyx_tp_as_mapping_array, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  __pyx_tp_getattro_array, /*tp_getattro*/
  0, /*tp_setattro*/
  &__pyx_tp_as_buffer_array, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/
  0, /*tp_doc*/
  0, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods_array, /*tp_methods*/
  0, /*tp_members*/
  __pyx_getsets_array, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_array, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  struct __pyx_MemviewEnum_obj *p;
  PyObject *o;
  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
    o = (*t->tp_alloc)(t, 0);
  } else {
    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
  }
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_MemviewEnum_obj *)o);
  p->name = Py_None; Py_INCREF(Py_None);
  return o;
}

static void __pyx_tp_dealloc_Enum(PyObject *o) {
  struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->name);
  (*Py_TYPE(o)->tp_free)(o);
}

static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
  if (p->name) {
    e = (*v)(p->name, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_Enum(PyObject *o) {
  PyObject* tmp;
  struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
  tmp = ((PyObject*)p->name);
  p->name = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

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

static PyTypeObject __pyx_type___pyx_MemviewEnum = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.Enum", /*tp_name*/
  sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_Enum, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  __pyx_MemviewEnum___repr__, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_Enum, /*tp_traverse*/
  __pyx_tp_clear_Enum, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods_Enum, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  __pyx_MemviewEnum___init__, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_Enum, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;

static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
  struct __pyx_memoryview_obj *p;
  PyObject *o;
  if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
    o = (*t->tp_alloc)(t, 0);
  } else {
    o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
  }
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_memoryview_obj *)o);
  p->__pyx_vtab = __pyx_vtabptr_memoryview;
  p->obj = Py_None; Py_INCREF(Py_None);
  p->_size = Py_None; Py_INCREF(Py_None);
  p->_array_interface = Py_None; Py_INCREF(Py_None);
  p->view.obj = NULL;
  if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) {
    Py_DECREF(o); o = 0;
  }
  return o;
}

static void __pyx_tp_dealloc_memoryview(PyObject *o) {
  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  PyObject_GC_UnTrack(o);
  {
    PyObject *etype, *eval, *etb;
    PyErr_Fetch(&etype, &eval, &etb);
    ++Py_REFCNT(o);
    __pyx_memoryview___dealloc__(o);
    --Py_REFCNT(o);
    PyErr_Restore(etype, eval, etb);
  }
  Py_CLEAR(p->obj);
  Py_CLEAR(p->_size);
  Py_CLEAR(p->_array_interface);
  (*Py_TYPE(o)->tp_free)(o);
}

static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
  if (p->obj) {
    e = (*v)(p->obj, a); if (e) return e;
  }
  if (p->_size) {
    e = (*v)(p->_size, a); if (e) return e;
  }
  if (p->_array_interface) {
    e = (*v)(p->_array_interface, a); if (e) return e;
  }
  if (p->view.obj) {
    e = (*v)(p->view.obj, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_memoryview(PyObject *o) {
  PyObject* tmp;
  struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
  tmp = ((PyObject*)p->obj);
  p->obj = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->_size);
  p->_size = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->_array_interface);
  p->_array_interface = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  Py_CLEAR(p->view.obj);
  return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
  PyObject *r;
  PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
  r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
  Py_DECREF(x);
  return r;
}

static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
  if (v) {
    return __pyx_memoryview___setitem__(o, i, v);
  }
  else {
    PyErr_Format(PyExc_NotImplementedError,
      "Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
    return -1;
  }
}

static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}

static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}

static PyMethodDef __pyx_methods_memoryview[] = {
  {"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
  {"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
  {"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
  {"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
  {0, 0, 0, 0}
};

static struct PyGetSetDef __pyx_getsets_memoryview[] = {
  {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
  {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
  {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
  {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
  {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
  {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
  {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
  {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
  {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
  {0, 0, 0, 0, 0}
};

static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
  __pyx_memoryview___len__, /*sq_length*/
  0, /*sq_concat*/
  0, /*sq_repeat*/
  __pyx_sq_item_memoryview, /*sq_item*/
  0, /*sq_slice*/
  0, /*sq_ass_item*/
  0, /*sq_ass_slice*/
  0, /*sq_contains*/
  0, /*sq_inplace_concat*/
  0, /*sq_inplace_repeat*/
};

static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
  __pyx_memoryview___len__, /*mp_length*/
  __pyx_memoryview___getitem__, /*mp_subscript*/
  __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};

static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getreadbuffer*/
  #endif
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getwritebuffer*/
  #endif
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getsegcount*/
  #endif
  #if PY_MAJOR_VERSION < 3
  0, /*bf_getcharbuffer*/
  #endif
  __pyx_memoryview_getbuffer, /*bf_getbuffer*/
  0, /*bf_releasebuffer*/
};

static PyTypeObject __pyx_type___pyx_memoryview = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree.memoryview", /*tp_name*/
  sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_memoryview, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  __pyx_memoryview___repr__, /*tp_repr*/
  0, /*tp_as_number*/
  &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
  &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  __pyx_memoryview___str__, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_memoryview, /*tp_traverse*/
  __pyx_tp_clear_memoryview, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods_memoryview, /*tp_methods*/
  0, /*tp_members*/
  __pyx_getsets_memoryview, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_memoryview, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;

static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
  struct __pyx_memoryviewslice_obj *p;
  PyObject *o = __pyx_tp_new_memoryview(t, a, k);
  if (unlikely(!o)) return 0;
  p = ((struct __pyx_memoryviewslice_obj *)o);
  p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
  p->from_object = Py_None; Py_INCREF(Py_None);
  p->from_slice.memview = NULL;
  return o;
}

static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
  struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
  #if PY_VERSION_HEX >= 0x030400a1
  if (unlikely(Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
    if (PyObject_CallFinalizerFromDealloc(o)) return;
  }
  #endif
  PyObject_GC_UnTrack(o);
  {
    PyObject *etype, *eval, *etb;
    PyErr_Fetch(&etype, &eval, &etb);
    ++Py_REFCNT(o);
    __pyx_memoryviewslice___dealloc__(o);
    --Py_REFCNT(o);
    PyErr_Restore(etype, eval, etb);
  }
  Py_CLEAR(p->from_object);
  PyObject_GC_Track(o);
  __pyx_tp_dealloc_memoryview(o);
}

static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
  e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
  if (p->from_object) {
    e = (*v)(p->from_object, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
  PyObject* tmp;
  struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
  __pyx_tp_clear_memoryview(o);
  tmp = ((PyObject*)p->from_object);
  p->from_object = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  __PYX_XDEC_MEMVIEW(&p->from_slice, 1);
  return 0;
}

static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
  return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}

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

static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
  {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
  {0, 0, 0, 0, 0}
};

static PyTypeObject __pyx_type___pyx_memoryviewslice = {
  PyVarObject_HEAD_INIT(0, 0)
  "sklearn.neighbors.kd_tree._memoryviewslice", /*tp_name*/
  sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  #if CYTHON_COMPILING_IN_PYPY
  __pyx_memoryview___repr__, /*tp_repr*/
  #else
  0, /*tp_repr*/
  #endif
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  #if CYTHON_COMPILING_IN_PYPY
  __pyx_memoryview___str__, /*tp_str*/
  #else
  0, /*tp_str*/
  #endif
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  "Internal class for passing memoryview slices to Python", /*tp_doc*/
  __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
  __pyx_tp_clear__memoryviewslice, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  __pyx_methods__memoryviewslice, /*tp_methods*/
  0, /*tp_members*/
  __pyx_getsets__memoryviewslice, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new__memoryviewslice, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

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

#if PY_MAJOR_VERSION >= 3
static struct PyModuleDef __pyx_moduledef = {
  #if PY_VERSION_HEX < 0x03020000
    { PyObject_HEAD_INIT(NULL) NULL, 0, NULL },
  #else
    PyModuleDef_HEAD_INIT,
  #endif
    "kd_tree",
    0, /* m_doc */
    -1, /* m_size */
    __pyx_methods /* m_methods */,
    NULL, /* m_reload */
    NULL, /* m_traverse */
    NULL, /* m_clear */
    NULL /* m_free */
};
#endif

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 * 
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 * 
 *         if X.shape[X.ndim - 1] != self.data.shape[1]:
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 * 
 *         if X.shape[X.ndim - 1] != n_features:
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 *             info.buf = PyArray_DATA(self)
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      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);
}

/* MemviewSliceInit */
  static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
                        int ndim,
                        __Pyx_memviewslice *memviewslice,
                        int memview_is_new_reference)
{
    __Pyx_RefNannyDeclarations
    int i, retval=-1;
    Py_buffer *buf = &memview->view;
    __Pyx_RefNannySetupContext("init_memviewslice", 0);
    if (!buf) {
        PyErr_SetString(PyExc_ValueError,
            "buf is NULL.");
        goto fail;
    } else if (memviewslice->memview || memviewslice->data) {
        PyErr_SetString(PyExc_ValueError,
            "memviewslice is already initialized!");
        goto fail;
    }
    if (buf->strides) {
        for (i = 0; i < ndim; i++) {
            memviewslice->strides[i] = buf->strides[i];
        }
    } else {
        Py_ssize_t stride = buf->itemsize;
        for (i = ndim - 1; i >= 0; i--) {
            memviewslice->strides[i] = stride;
            stride *= buf->shape[i];
        }
    }
    for (i = 0; i < ndim; i++) {
        memviewslice->shape[i]   = buf->shape[i];
        if (buf->suboffsets) {
            memviewslice->suboffsets[i] = buf->suboffsets[i];
        } else {
            memviewslice->suboffsets[i] = -1;
        }
    }
    memviewslice->memview = memview;
    memviewslice->data = (char *)buf->buf;
    if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
        Py_INCREF(memview);
    }
    retval = 0;
    goto no_fail;
fail:
    memviewslice->memview = 0;
    memviewslice->data = 0;
    retval = -1;
no_fail:
    __Pyx_RefNannyFinishContext();
    return retval;
}
static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) {
    va_list vargs;
    char msg[200];
#ifdef HAVE_STDARG_PROTOTYPES
    va_start(vargs, fmt);
#else
    va_start(vargs);
#endif
    vsnprintf(msg, 200, fmt, vargs);
    Py_FatalError(msg);
    va_end(vargs);
}
static CYTHON_INLINE int
__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
                                   PyThread_type_lock lock)
{
    int result;
    PyThread_acquire_lock(lock, 1);
    result = (*acquisition_count)++;
    PyThread_release_lock(lock);
    return result;
}
static CYTHON_INLINE int
__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
                                   PyThread_type_lock lock)
{
    int result;
    PyThread_acquire_lock(lock, 1);
    result = (*acquisition_count)--;
    PyThread_release_lock(lock);
    return result;
}
static CYTHON_INLINE void
__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)
{
    int first_time;
    struct __pyx_memoryview_obj *memview = memslice->memview;
    if (!memview || (PyObject *) memview == Py_None)
        return;
    if (__pyx_get_slice_count(memview) < 0)
        __pyx_fatalerror("Acquisition count is %d (line %d)",
                         __pyx_get_slice_count(memview), lineno);
    first_time = __pyx_add_acquisition_count(memview) == 0;
    if (first_time) {
        if (have_gil) {
            Py_INCREF((PyObject *) memview);
        } else {
            PyGILState_STATE _gilstate = PyGILState_Ensure();
            Py_INCREF((PyObject *) memview);
            PyGILState_Release(_gilstate);
        }
    }
}
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,
                                             int have_gil, int lineno) {
    int last_time;
    struct __pyx_memoryview_obj *memview = memslice->memview;
    if (!memview ) {
        return;
    } else if ((PyObject *) memview == Py_None) {
        memslice->memview = NULL;
        return;
    }
    if (__pyx_get_slice_count(memview) <= 0)
        __pyx_fatalerror("Acquisition count is %d (line %d)",
                         __pyx_get_slice_count(memview), lineno);
    last_time = __pyx_sub_acquisition_count(memview) == 1;
    memslice->data = NULL;
    if (last_time) {
        if (have_gil) {
            Py_CLEAR(memslice->memview);
        } else {
            PyGILState_STATE _gilstate = PyGILState_Ensure();
            Py_CLEAR(memslice->memview);
            PyGILState_Release(_gilstate);
        }
    } else {
        memslice->memview = NULL;
    }
}

/* 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

/* 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

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

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

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

/* BytesEquals */
    static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
    if (s1 == s2) {
        return (equals == Py_EQ);
    } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
        const char *ps1, *ps2;
        Py_ssize_t length = PyBytes_GET_SIZE(s1);
        if (length != PyBytes_GET_SIZE(s2))
            return (equals == Py_NE);
        ps1 = PyBytes_AS_STRING(s1);
        ps2 = PyBytes_AS_STRING(s2);
        if (ps1[0] != ps2[0]) {
            return (equals == Py_NE);
        } else if (length == 1) {
            return (equals == Py_EQ);
        } else {
            int result = memcmp(ps1, ps2, (size_t)length);
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
        return (equals == Py_NE);
    } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
        return (equals == Py_NE);
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
#endif
}

/* UnicodeEquals */
    static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
    PyObject* owned_ref = NULL;
#endif
    int s1_is_unicode, s2_is_unicode;
    if (s1 == s2) {
        goto return_eq;
    }
    s1_is_unicode = PyUnicode_CheckExact(s1);
    s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
    if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
        owned_ref = PyUnicode_FromObject(s2);
        if (unlikely(!owned_ref))
            return -1;
        s2 = owned_ref;
        s2_is_unicode = 1;
    } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
        owned_ref = PyUnicode_FromObject(s1);
        if (unlikely(!owned_ref))
            return -1;
        s1 = owned_ref;
        s1_is_unicode = 1;
    } else if (((!s2_is_unicode) & (!s1_is_unicode))) {
        return __Pyx_PyBytes_Equals(s1, s2, equals);
    }
#endif
    if (s1_is_unicode & s2_is_unicode) {
        Py_ssize_t length;
        int kind;
        void *data1, *data2;
        if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
            return -1;
        length = __Pyx_PyUnicode_GET_LENGTH(s1);
        if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
            goto return_ne;
        }
        kind = __Pyx_PyUnicode_KIND(s1);
        if (kind != __Pyx_PyUnicode_KIND(s2)) {
            goto return_ne;
        }
        data1 = __Pyx_PyUnicode_DATA(s1);
        data2 = __Pyx_PyUnicode_DATA(s2);
        if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
            goto return_ne;
        } else if (length == 1) {
            goto return_eq;
        } else {
            int result = memcmp(data1, data2, (size_t)(length * kind));
            #if PY_MAJOR_VERSION < 3
            Py_XDECREF(owned_ref);
            #endif
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & s2_is_unicode) {
        goto return_ne;
    } else if ((s2 == Py_None) & s1_is_unicode) {
        goto return_ne;
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
return_eq:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_EQ);
return_ne:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_NE);
#endif
}

/* 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;
}

/* 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

/* KeywordStringCheck */
        static CYTHON_INLINE int __Pyx_CheckKeywordStrings(
    PyObject *kwdict,
    const char* function_name,
    int kw_allowed)
{
    PyObject* key = 0;
    Py_ssize_t pos = 0;
#if CYTHON_COMPILING_IN_PYPY
    if (!kw_allowed && PyDict_Next(kwdict, &pos, &key, 0))
        goto invalid_keyword;
    return 1;
#else
    while (PyDict_Next(kwdict, &pos, &key, 0)) {
        #if PY_MAJOR_VERSION < 3
        if (unlikely(!PyString_CheckExact(key)) && unlikely(!PyString_Check(key)))
        #endif
            if (unlikely(!PyUnicode_Check(key)))
                goto invalid_keyword_type;
    }
    if ((!kw_allowed) && unlikely(key))
        goto invalid_keyword;
    return 1;
invalid_keyword_type:
    PyErr_Format(PyExc_TypeError,
        "%.200s() keywords must be strings", function_name);
    return 0;
#endif
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
    return 0;
}

/* 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;
}

/* WriteUnraisableException */
        static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno,
                                  CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename,
                                  int full_traceback, CYTHON_UNUSED int nogil) {
    PyObject *old_exc, *old_val, *old_tb;
    PyObject *ctx;
    __Pyx_PyThreadState_declare
#ifdef WITH_THREAD
    PyGILState_STATE state;
    if (nogil)
        state = PyGILState_Ensure();
#ifdef _MSC_VER
    else state = (PyGILState_STATE)-1;
#endif
#endif
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
    if (full_traceback) {
        Py_XINCREF(old_exc);
        Py_XINCREF(old_val);
        Py_XINCREF(old_tb);
        __Pyx_ErrRestore(old_exc, old_val, old_tb);
        PyErr_PrintEx(1);
    }
    #if PY_MAJOR_VERSION < 3
    ctx = PyString_FromString(name);
    #else
    ctx = PyUnicode_FromString(name);
    #endif
    __Pyx_ErrRestore(old_exc, old_val, old_tb);
    if (!ctx) {
        PyErr_WriteUnraisable(Py_None);
    } else {
        PyErr_WriteUnraisable(ctx);
        Py_DECREF(ctx);
    }
#ifdef WITH_THREAD
    if (nogil)
        PyGILState_Release(state);
#endif
}

/* IterFinish */
        static CYTHON_INLINE int __Pyx_IterFinish(void) {
#if CYTHON_COMPILING_IN_CPYTHON
    PyThreadState *tstate = PyThreadState_GET();
    PyObject* exc_type = tstate->curexc_type;
    if (unlikely(exc_type)) {
        if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
            PyObject *exc_value, *exc_tb;
            exc_value = tstate->curexc_value;
            exc_tb = tstate->curexc_traceback;
            tstate->curexc_type = 0;
            tstate->curexc_value = 0;
            tstate->curexc_traceback = 0;
            Py_DECREF(exc_type);
            Py_XDECREF(exc_value);
            Py_XDECREF(exc_tb);
            return 0;
        } else {
            return -1;
        }
    }
    return 0;
#else
    if (unlikely(PyErr_Occurred())) {
        if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
            PyErr_Clear();
            return 0;
        } else {
            return -1;
        }
    }
    return 0;
#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

/* PyObjectCallMethod0 */
          static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) {
    PyObject *method, *result = NULL;
    method = __Pyx_PyObject_GetAttrStr(obj, method_name);
    if (unlikely(!method)) goto bad;
#if CYTHON_COMPILING_IN_CPYTHON
    if (likely(PyMethod_Check(method))) {
        PyObject *self = PyMethod_GET_SELF(method);
        if (likely(self)) {
            PyObject *function = PyMethod_GET_FUNCTION(method);
            result = __Pyx_PyObject_CallOneArg(function, self);
            Py_DECREF(method);
            return result;
        }
    }
#endif
    result = __Pyx_PyObject_CallNoArg(method);
    Py_DECREF(method);
bad:
    return result;
}

/* 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");
}

/* 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);
}

/* UnpackItemEndCheck */
          static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
    if (unlikely(retval)) {
        Py_DECREF(retval);
        __Pyx_RaiseTooManyValuesError(expected);
        return -1;
    } else {
        return __Pyx_IterFinish();
    }
    return 0;
}

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

/* UnpackTupleError */
          static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
    if (t == Py_None) {
      __Pyx_RaiseNoneNotIterableError();
    } else if (PyTuple_GET_SIZE(t) < index) {
      __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
    } else {
      __Pyx_RaiseTooManyValuesError(index);
    }
}

/* UnpackTuple2 */
          static CYTHON_INLINE int __Pyx_unpack_tuple2(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2,
                                             int is_tuple, int has_known_size, int decref_tuple) {
    Py_ssize_t index;
    PyObject *value1 = NULL, *value2 = NULL, *iter = NULL;
    if (!is_tuple && unlikely(!PyTuple_Check(tuple))) {
        iternextfunc iternext;
        iter = PyObject_GetIter(tuple);
        if (unlikely(!iter)) goto bad;
        if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; }
        iternext = Py_TYPE(iter)->tp_iternext;
        value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; }
        value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; }
        if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad;
        Py_DECREF(iter);
    } else {
        if (!has_known_size && unlikely(PyTuple_GET_SIZE(tuple) != 2)) {
            __Pyx_UnpackTupleError(tuple, 2);
            goto bad;
        }
#if CYTHON_COMPILING_IN_PYPY
        value1 = PySequence_ITEM(tuple, 0);
        if (unlikely(!value1)) goto bad;
        value2 = PySequence_ITEM(tuple, 1);
        if (unlikely(!value2)) goto bad;
#else
        value1 = PyTuple_GET_ITEM(tuple, 0);
        value2 = PyTuple_GET_ITEM(tuple, 1);
        Py_INCREF(value1);
        Py_INCREF(value2);
#endif
        if (decref_tuple) { Py_DECREF(tuple); }
    }
    *pvalue1 = value1;
    *pvalue2 = value2;
    return 0;
unpacking_failed:
    if (!has_known_size && __Pyx_IterFinish() == 0)
        __Pyx_RaiseNeedMoreValuesError(index);
bad:
    Py_XDECREF(iter);
    Py_XDECREF(value1);
    Py_XDECREF(value2);
    if (decref_tuple) { Py_XDECREF(tuple); }
    return -1;
}

/* dict_iter */
          static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name,
                                                   Py_ssize_t* p_orig_length, int* p_source_is_dict) {
    is_dict = is_dict || likely(PyDict_CheckExact(iterable));
    *p_source_is_dict = is_dict;
#if !CYTHON_COMPILING_IN_PYPY
    if (is_dict) {
        *p_orig_length = PyDict_Size(iterable);
        Py_INCREF(iterable);
        return iterable;
    }
#endif
    *p_orig_length = 0;
    if (method_name) {
        PyObject* iter;
        iterable = __Pyx_PyObject_CallMethod0(iterable, method_name);
        if (!iterable)
            return NULL;
#if !CYTHON_COMPILING_IN_PYPY
        if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable))
            return iterable;
#endif
        iter = PyObject_GetIter(iterable);
        Py_DECREF(iterable);
        return iter;
    }
    return PyObject_GetIter(iterable);
}
static CYTHON_INLINE int __Pyx_dict_iter_next(
        PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos,
        PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) {
    PyObject* next_item;
#if !CYTHON_COMPILING_IN_PYPY
    if (source_is_dict) {
        PyObject *key, *value;
        if (unlikely(orig_length != PyDict_Size(iter_obj))) {
            PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration");
            return -1;
        }
        if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) {
            return 0;
        }
        if (pitem) {
            PyObject* tuple = PyTuple_New(2);
            if (unlikely(!tuple)) {
                return -1;
            }
            Py_INCREF(key);
            Py_INCREF(value);
            PyTuple_SET_ITEM(tuple, 0, key);
            PyTuple_SET_ITEM(tuple, 1, value);
            *pitem = tuple;
        } else {
            if (pkey) {
                Py_INCREF(key);
                *pkey = key;
            }
            if (pvalue) {
                Py_INCREF(value);
                *pvalue = value;
            }
        }
        return 1;
    } else if (PyTuple_CheckExact(iter_obj)) {
        Py_ssize_t pos = *ppos;
        if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0;
        *ppos = pos + 1;
        next_item = PyTuple_GET_ITEM(iter_obj, pos);
        Py_INCREF(next_item);
    } else if (PyList_CheckExact(iter_obj)) {
        Py_ssize_t pos = *ppos;
        if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0;
        *ppos = pos + 1;
        next_item = PyList_GET_ITEM(iter_obj, pos);
        Py_INCREF(next_item);
    } else
#endif
    {
        next_item = PyIter_Next(iter_obj);
        if (unlikely(!next_item)) {
            return __Pyx_IterFinish();
        }
    }
    if (pitem) {
        *pitem = next_item;
    } else if (pkey && pvalue) {
        if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1))
            return -1;
    } else if (pkey) {
        *pkey = next_item;
    } else {
        *pvalue = next_item;
    }
    return 1;
}

/* MergeKeywords */
          static int __Pyx_MergeKeywords(PyObject *kwdict, PyObject *source_mapping) {
    PyObject *iter, *key = NULL, *value = NULL;
    int source_is_dict, result;
    Py_ssize_t orig_length, ppos = 0;
    iter = __Pyx_dict_iterator(source_mapping, 0, __pyx_n_s_items, &orig_length, &source_is_dict);
    if (unlikely(!iter)) {
        PyObject *args;
        if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;
        PyErr_Clear();
        args = PyTuple_Pack(1, source_mapping);
        if (likely(args)) {
            PyObject *fallback = PyObject_Call((PyObject*)&PyDict_Type, args, NULL);
            Py_DECREF(args);
            if (likely(fallback)) {
                iter = __Pyx_dict_iterator(fallback, 1, __pyx_n_s_items, &orig_length, &source_is_dict);
                Py_DECREF(fallback);
            }
        }
        if (unlikely(!iter)) goto bad;
    }
    while (1) {
        result = __Pyx_dict_iter_next(iter, orig_length, &ppos, &key, &value, NULL, source_is_dict);
        if (unlikely(result < 0)) goto bad;
        if (!result) break;
        if (unlikely(PyDict_Contains(kwdict, key))) {
            __Pyx_RaiseDoubleKeywordsError("function", key);
            result = -1;
        } else {
            result = PyDict_SetItem(kwdict, key, value);
        }
        Py_DECREF(key);
        Py_DECREF(value);
        if (unlikely(result < 0)) goto bad;
    }
    Py_XDECREF(iter);
    return 0;
bad:
    Py_XDECREF(iter);
    return -1;
}

/* PyIntBinop */
          #if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
    if (op1 == op2) {
        Py_RETURN_TRUE;
    }
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long a = PyInt_AS_LONG(op1);
        if (a == b) {
            Py_RETURN_TRUE;
        } else {
            Py_RETURN_FALSE;
        }
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a;
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                #if PyLong_SHIFT < 30 && PyLong_SHIFT != 15
                default: return PyLong_Type.tp_richcompare(op1, op2, Py_EQ);
                #else
                default: Py_RETURN_FALSE;
                #endif
            }
        }
            if (a == b) {
                Py_RETURN_TRUE;
            } else {
                Py_RETURN_FALSE;
            }
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            if ((double)a == (double)b) {
                Py_RETURN_TRUE;
            } else {
                Py_RETURN_FALSE;
            }
    }
    return PyObject_RichCompare(op1, op2, Py_EQ);
}
#endif

/* PyIntBinop */
          #if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long x;
        long a = PyInt_AS_LONG(op1);
            x = (long)((unsigned long)a + b);
            if (likely((x^a) >= 0 || (x^b) >= 0))
                return PyInt_FromLong(x);
            return PyLong_Type.tp_as_number->nb_add(op1, op2);
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a, x;
        const PY_LONG_LONG llb = intval;
        PY_LONG_LONG lla, llx;
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
            }
        }
                x = a + b;
            return PyLong_FromLong(x);
        long_long:
                llx = lla + llb;
            return PyLong_FromLongLong(llx);
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            double result;
            PyFPE_START_PROTECT("add", return NULL)
            result = ((double)a) + (double)b;
            PyFPE_END_PROTECT(result)
            return PyFloat_FromDouble(result);
    }
    return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif

/* PyIntBinop */
          #if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long x;
        long a = PyInt_AS_LONG(op1);
            x = (long)((unsigned long)a - b);
            if (likely((x^a) >= 0 || (x^~b) >= 0))
                return PyInt_FromLong(x);
            return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS && PY_MAJOR_VERSION >= 3
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a, x;
        const PY_LONG_LONG llb = intval;
        PY_LONG_LONG lla, llx;
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
                    }
                default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
            }
        }
                x = a - b;
            return PyLong_FromLong(x);
        long_long:
                llx = lla - llb;
            return PyLong_FromLongLong(llx);
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            double result;
            PyFPE_START_PROTECT("subtract", return NULL)
            result = ((double)a) - (double)b;
            PyFPE_END_PROTECT(result)
            return PyFloat_FromDouble(result);
    }
    return (inplace ? PyNumber_InPlaceSubtract : PyNumber_Subtract)(op1, op2);
}
#endif

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

/* 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;
}

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

/* SliceObject */
          static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj,
        Py_ssize_t cstart, Py_ssize_t cstop,
        PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
        int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) {
#if CYTHON_COMPILING_IN_CPYTHON
    PyMappingMethods* mp;
#if PY_MAJOR_VERSION < 3
    PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence;
    if (likely(ms && ms->sq_slice)) {
        if (!has_cstart) {
            if (_py_start && (*_py_start != Py_None)) {
                cstart = __Pyx_PyIndex_AsSsize_t(*_py_start);
                if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
            } else
                cstart = 0;
        }
        if (!has_cstop) {
            if (_py_stop && (*_py_stop != Py_None)) {
                cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop);
                if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
            } else
                cstop = PY_SSIZE_T_MAX;
        }
        if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) {
            Py_ssize_t l = ms->sq_length(obj);
            if (likely(l >= 0)) {
                if (cstop < 0) {
                    cstop += l;
                    if (cstop < 0) cstop = 0;
                }
                if (cstart < 0) {
                    cstart += l;
                    if (cstart < 0) cstart = 0;
                }
            } else {
                if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                    goto bad;
                PyErr_Clear();
            }
        }
        return ms->sq_slice(obj, cstart, cstop);
    }
#endif
    mp = Py_TYPE(obj)->tp_as_mapping;
    if (likely(mp && mp->mp_subscript))
#endif
    {
        PyObject* result;
        PyObject *py_slice, *py_start, *py_stop;
        if (_py_slice) {
            py_slice = *_py_slice;
        } else {
            PyObject* owned_start = NULL;
            PyObject* owned_stop = NULL;
            if (_py_start) {
                py_start = *_py_start;
            } else {
                if (has_cstart) {
                    owned_start = py_start = PyInt_FromSsize_t(cstart);
                    if (unlikely(!py_start)) goto bad;
                } else
                    py_start = Py_None;
            }
            if (_py_stop) {
                py_stop = *_py_stop;
            } else {
                if (has_cstop) {
                    owned_stop = py_stop = PyInt_FromSsize_t(cstop);
                    if (unlikely(!py_stop)) {
                        Py_XDECREF(owned_start);
                        goto bad;
                    }
                } else
                    py_stop = Py_None;
            }
            py_slice = PySlice_New(py_start, py_stop, Py_None);
            Py_XDECREF(owned_start);
            Py_XDECREF(owned_stop);
            if (unlikely(!py_slice)) goto bad;
        }
#if CYTHON_COMPILING_IN_CPYTHON
        result = mp->mp_subscript(obj, py_slice);
#else
        result = PyObject_GetItem(obj, py_slice);
#endif
        if (!_py_slice) {
            Py_DECREF(py_slice);
        }
        return result;
    }
    PyErr_Format(PyExc_TypeError,
        "'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name);
bad:
    return NULL;
}

/* 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);
}

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

/* PyErrExceptionMatches */
            #if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
    PyObject *exc_type = tstate->curexc_type;
    if (exc_type == err) return 1;
    if (unlikely(!exc_type)) return 0;
    return PyErr_GivenExceptionMatches(exc_type, err);
}
#endif

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

/* 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;
}

/* GetAttr */
              static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_COMPILING_IN_CPYTHON
#if PY_MAJOR_VERSION >= 3
    if (likely(PyUnicode_Check(n)))
#else
    if (likely(PyString_Check(n)))
#endif
        return __Pyx_PyObject_GetAttrStr(o, n);
#endif
    return PyObject_GetAttr(o, n);
}

/* decode_c_string */
              static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
         const char* cstring, Py_ssize_t start, Py_ssize_t stop,
         const char* encoding, const char* errors,
         PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
    Py_ssize_t length;
    if (unlikely((start < 0) | (stop < 0))) {
        size_t slen = strlen(cstring);
        if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
            PyErr_SetString(PyExc_OverflowError,
                            "c-string too long to convert to Python");
            return NULL;
        }
        length = (Py_ssize_t) slen;
        if (start < 0) {
            start += length;
            if (start < 0)
                start = 0;
        }
        if (stop < 0)
            stop += length;
    }
    length = stop - start;
    if (unlikely(length <= 0))
        return PyUnicode_FromUnicode(NULL, 0);
    cstring += start;
    if (decode_func) {
        return decode_func(cstring, length, errors);
    } else {
        return PyUnicode_Decode(cstring, length, encoding, errors);
    }
}

/* SwapException */
              #if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = *type;
    tstate->exc_value = *value;
    tstate->exc_traceback = *tb;
    *type = tmp_type;
    *value = tmp_value;
    *tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
    PyErr_SetExcInfo(*type, *value, *tb);
    *type = tmp_type;
    *value = tmp_value;
    *tb = tmp_tb;
}
#endif

/* StringJoin */
              #if !CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyBytes_Join(PyObject* sep, PyObject* values) {
    return PyObject_CallMethodObjArgs(sep, __pyx_n_s_join, values, NULL);
}
#endif

/* 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;
}

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

/* 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);
        if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
        if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_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


              /* MemviewSliceIsContig */
              static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs,
                             char order, int ndim)
{
    int i, index, step, start;
    Py_ssize_t itemsize = mvs.memview->view.itemsize;
    if (order == 'F') {
        step = 1;
        start = 0;
    } else {
        step = -1;
        start = ndim - 1;
    }
    for (i = 0; i < ndim; i++) {
        index = start + step * i;
        if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
            return 0;
        itemsize *= mvs.shape[index];
    }
    return 1;
}

/* OverlappingSlices */
              static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
                               void **out_start, void **out_end,
                               int ndim, size_t itemsize)
{
    char *start, *end;
    int i;
    start = end = slice->data;
    for (i = 0; i < ndim; i++) {
        Py_ssize_t stride = slice->strides[i];
        Py_ssize_t extent = slice->shape[i];
        if (extent == 0) {
            *out_start = *out_end = start;
            return;
        } else {
            if (stride > 0)
                end += stride * (extent - 1);
            else
                start += stride * (extent - 1);
        }
    }
    *out_start = start;
    *out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
                     __Pyx_memviewslice *slice2,
                     int ndim, size_t itemsize)
{
    void *start1, *end1, *start2, *end2;
    __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
    __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
    return (start1 < end2) && (start2 < end1);
}

/* Capsule */
              static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
    PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
    cobj = PyCapsule_New(p, sig, NULL);
#else
    cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
    return cobj;
}

/* 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);
    }
}

/* 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;\
    }

/* TypeInfoCompare */
              static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
    int i;
    if (!a || !b)
        return 0;
    if (a == b)
        return 1;
    if (a->size != b->size || a->typegroup != b->typegroup ||
            a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
        if (a->typegroup == 'H' || b->typegroup == 'H') {
            return a->size == b->size;
        } else {
            return 0;
        }
    }
    if (a->ndim) {
        for (i = 0; i < a->ndim; i++)
            if (a->arraysize[i] != b->arraysize[i])
                return 0;
    }
    if (a->typegroup == 'S') {
        if (a->flags != b->flags)
            return 0;
        if (a->fields || b->fields) {
            if (!(a->fields && b->fields))
                return 0;
            for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
                __Pyx_StructField *field_a = a->fields + i;
                __Pyx_StructField *field_b = b->fields + i;
                if (field_a->offset != field_b->offset ||
                    !__pyx_typeinfo_cmp(field_a->type, field_b->type))
                    return 0;
            }
            return !a->fields[i].type && !b->fields[i].type;
        }
    }
    return 1;
}

/* MemviewSliceValidateAndInit */
              static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
    if (buf->shape[dim] <= 1)
        return 1;
    if (buf->strides) {
        if (spec & __Pyx_MEMVIEW_CONTIG) {
            if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
                if (buf->strides[dim] != sizeof(void *)) {
                    PyErr_Format(PyExc_ValueError,
                                 "Buffer is not indirectly contiguous "
                                 "in dimension %d.", dim);
                    goto fail;
                }
            } else if (buf->strides[dim] != buf->itemsize) {
                PyErr_SetString(PyExc_ValueError,
                                "Buffer and memoryview are not contiguous "
                                "in the same dimension.");
                goto fail;
            }
        }
        if (spec & __Pyx_MEMVIEW_FOLLOW) {
            Py_ssize_t stride = buf->strides[dim];
            if (stride < 0)
                stride = -stride;
            if (stride < buf->itemsize) {
                PyErr_SetString(PyExc_ValueError,
                                "Buffer and memoryview are not contiguous "
                                "in the same dimension.");
                goto fail;
            }
        }
    } else {
        if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) {
            PyErr_Format(PyExc_ValueError,
                         "C-contiguous buffer is not contiguous in "
                         "dimension %d", dim);
            goto fail;
        } else if (spec & (__Pyx_MEMVIEW_PTR)) {
            PyErr_Format(PyExc_ValueError,
                         "C-contiguous buffer is not indirect in "
                         "dimension %d", dim);
            goto fail;
        } else if (buf->suboffsets) {
            PyErr_SetString(PyExc_ValueError,
                            "Buffer exposes suboffsets but no strides");
            goto fail;
        }
    }
    return 1;
fail:
    return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
    if (spec & __Pyx_MEMVIEW_DIRECT) {
        if (buf->suboffsets && buf->suboffsets[dim] >= 0) {
            PyErr_Format(PyExc_ValueError,
                         "Buffer not compatible with direct access "
                         "in dimension %d.", dim);
            goto fail;
        }
    }
    if (spec & __Pyx_MEMVIEW_PTR) {
        if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) {
            PyErr_Format(PyExc_ValueError,
                         "Buffer is not indirectly accessible "
                         "in dimension %d.", dim);
            goto fail;
        }
    }
    return 1;
fail:
    return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
    int i;
    if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
        Py_ssize_t stride = 1;
        for (i = 0; i < ndim; i++) {
            if (stride * buf->itemsize != buf->strides[i] &&
                    buf->shape[i] > 1)
            {
                PyErr_SetString(PyExc_ValueError,
                    "Buffer not fortran contiguous.");
                goto fail;
            }
            stride = stride * buf->shape[i];
        }
    } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
        Py_ssize_t stride = 1;
        for (i = ndim - 1; i >- 1; i--) {
            if (stride * buf->itemsize != buf->strides[i] &&
                    buf->shape[i] > 1) {
                PyErr_SetString(PyExc_ValueError,
                    "Buffer not C contiguous.");
                goto fail;
            }
            stride = stride * buf->shape[i];
        }
    }
    return 1;
fail:
    return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
                int *axes_specs,
                int c_or_f_flag,
                int buf_flags,
                int ndim,
                __Pyx_TypeInfo *dtype,
                __Pyx_BufFmt_StackElem stack[],
                __Pyx_memviewslice *memviewslice,
                PyObject *original_obj)
{
    struct __pyx_memoryview_obj *memview, *new_memview;
    __Pyx_RefNannyDeclarations
    Py_buffer *buf;
    int i, spec = 0, retval = -1;
    __Pyx_BufFmt_Context ctx;
    int from_memoryview = __pyx_memoryview_check(original_obj);
    __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
    if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
                                                            original_obj)->typeinfo)) {
        memview = (struct __pyx_memoryview_obj *) original_obj;
        new_memview = NULL;
    } else {
        memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
                                            original_obj, buf_flags, 0, dtype);
        new_memview = memview;
        if (unlikely(!memview))
            goto fail;
    }
    buf = &memview->view;
    if (buf->ndim != ndim) {
        PyErr_Format(PyExc_ValueError,
                "Buffer has wrong number of dimensions (expected %d, got %d)",
                ndim, buf->ndim);
        goto fail;
    }
    if (new_memview) {
        __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 "u byte%s) "
                     "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
                     buf->itemsize,
                     (buf->itemsize > 1) ? "s" : "",
                     dtype->name,
                     dtype->size,
                     (dtype->size > 1) ? "s" : "");
        goto fail;
    }
    for (i = 0; i < ndim; i++) {
        spec = axes_specs[i];
        if (!__pyx_check_strides(buf, i, ndim, spec))
            goto fail;
        if (!__pyx_check_suboffsets(buf, i, ndim, spec))
            goto fail;
    }
    if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))
        goto fail;
    if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
                                         new_memview != NULL) == -1)) {
        goto fail;
    }
    retval = 0;
    goto no_fail;
fail:
    Py_XDECREF(new_memview);
    retval = -1;
no_fail:
    __Pyx_RefNannyFinishContext();
    return retval;
}

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[1];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 2,
                                                 &__Pyx_TypeInfo_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[1];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 2,
                                                 &__Pyx_TypeInfo_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[1];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1,
                                                 &__Pyx_TypeInfo_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* 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);
    }
}

/* 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);
    }
}

/* MemviewDtypeToObject */
              static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(const char *itemp) {
    return (PyObject *) PyFloat_FromDouble(*(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) itemp);
}
static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(const char *itemp, PyObject *obj) {
    __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t value = __pyx_PyFloat_AsDouble(obj);
    if ((value == (npy_float64)-1) && PyErr_Occurred())
        return 0;
    *(__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *) itemp = value;
    return 1;
}

/* None */
              static CYTHON_INLINE long __Pyx_pow_long(long b, long e) {
    long t = b;
    switch (e) {
        case 3:
            t *= b;
        case 2:
            t *= b;
        case 1:
            return t;
        case 0:
            return 1;
    }
    #if 1
    if (unlikely(e<0)) return 0;
    #endif
    t = 1;
    while (likely(e)) {
        t *= (b * (e&1)) | ((~e)&1);
        b *= b;
        e >>= 1;
    }
    return t;
}

/* MemviewDtypeToObject */
              static CYTHON_INLINE PyObject *__pyx_memview_get_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(const char *itemp) {
    return (PyObject *) __Pyx_PyInt_From_Py_intptr_t(*(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) itemp);
}
static CYTHON_INLINE int __pyx_memview_set_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(const char *itemp, PyObject *obj) {
    __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t value = __Pyx_PyInt_As_Py_intptr_t(obj);
    if ((value == (npy_intp)-1) && PyErr_Occurred())
        return 0;
    *(__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t *) itemp = value;
    return 1;
}

static PyObject* __pyx_convert__to_py_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t s) {
                PyObject* res;
                PyObject* member;
                res = PyDict_New(); if (unlikely(!res)) return NULL;
                member = __Pyx_PyInt_From_Py_intptr_t(s.idx_start); if (unlikely(!member)) goto bad;
                if (unlikely(PyDict_SetItem(res, __pyx_n_s_idx_start, member) < 0)) goto bad;
                Py_DECREF(member);
                member = __Pyx_PyInt_From_Py_intptr_t(s.idx_end); if (unlikely(!member)) goto bad;
                if (unlikely(PyDict_SetItem(res, __pyx_n_s_idx_end, member) < 0)) goto bad;
                Py_DECREF(member);
                member = __Pyx_PyInt_From_Py_intptr_t(s.is_leaf); if (unlikely(!member)) goto bad;
                if (unlikely(PyDict_SetItem(res, __pyx_n_s_is_leaf, member) < 0)) goto bad;
                Py_DECREF(member);
                member = PyFloat_FromDouble(s.radius); if (unlikely(!member)) goto bad;
                if (unlikely(PyDict_SetItem(res, __pyx_n_s_radius, member) < 0)) goto bad;
                Py_DECREF(member);
                return res;
                bad:
                Py_XDECREF(member);
                Py_DECREF(res);
                return NULL;
              }
              /* MemviewDtypeToObject */
              static CYTHON_INLINE PyObject *__pyx_memview_get_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(const char *itemp) {
    return (PyObject *) __pyx_convert__to_py_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(*(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) itemp);
}
static CYTHON_INLINE int __pyx_memview_set_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(const char *itemp, PyObject *obj) {
    struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t value = __pyx_convert__from_py_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(obj);
    if (PyErr_Occurred())
        return 0;
    *(struct __pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t *) itemp = value;
    return 1;
}

/* 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_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);
    }
}

/* MemviewSliceCopyTemplate */
              static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
                                 const char *mode, int ndim,
                                 size_t sizeof_dtype, int contig_flag,
                                 int dtype_is_object)
{
    __Pyx_RefNannyDeclarations
    int i;
    __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
    struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
    Py_buffer *buf = &from_memview->view;
    PyObject *shape_tuple = NULL;
    PyObject *temp_int = NULL;
    struct __pyx_array_obj *array_obj = NULL;
    struct __pyx_memoryview_obj *memview_obj = NULL;
    __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
    for (i = 0; i < ndim; i++) {
        if (from_mvs->suboffsets[i] >= 0) {
            PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
                                           "indirect dimensions (axis %d)", i);
            goto fail;
        }
    }
    shape_tuple = PyTuple_New(ndim);
    if (unlikely(!shape_tuple)) {
        goto fail;
    }
    __Pyx_GOTREF(shape_tuple);
    for(i = 0; i < ndim; i++) {
        temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
        if(unlikely(!temp_int)) {
            goto fail;
        } else {
            PyTuple_SET_ITEM(shape_tuple, i, temp_int);
            temp_int = NULL;
        }
    }
    array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
    if (unlikely(!array_obj)) {
        goto fail;
    }
    __Pyx_GOTREF(array_obj);
    memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
                                    (PyObject *) array_obj, contig_flag,
                                    dtype_is_object,
                                    from_mvs->memview->typeinfo);
    if (unlikely(!memview_obj))
        goto fail;
    if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
        goto fail;
    if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
                                                dtype_is_object) < 0))
        goto fail;
    goto no_fail;
fail:
    __Pyx_XDECREF(new_mvs.memview);
    new_mvs.memview = NULL;
    new_mvs.data = NULL;
no_fail:
    __Pyx_XDECREF(shape_tuple);
    __Pyx_XDECREF(temp_int);
    __Pyx_XDECREF(array_obj);
    __Pyx_RefNannyFinishContext();
    return new_mvs;
}

/* 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;
}

/* TypeInfoToFormat */
              static struct __pyx_typeinfo_string __Pyx_TypeInfoToFormat(__Pyx_TypeInfo *type) {
    struct __pyx_typeinfo_string result = { {0} };
    char *buf = (char *) result.string;
    size_t size = type->size;
    switch (type->typegroup) {
        case 'H':
            *buf = 'c';
            break;
        case 'I':
        case 'U':
            if (size == 1)
                *buf = (type->is_unsigned) ? 'B' : 'b';
            else if (size == 2)
                *buf = (type->is_unsigned) ? 'H' : 'h';
            else if (size == 4)
                *buf = (type->is_unsigned) ? 'I' : 'i';
            else if (size == 8)
                *buf = (type->is_unsigned) ? 'Q' : 'q';
            break;
        case 'P':
            *buf = 'P';
            break;
        case 'C':
         {
            __Pyx_TypeInfo complex_type = *type;
            complex_type.typegroup = 'R';
            complex_type.size /= 2;
            *buf++ = 'Z';
            *buf = __Pyx_TypeInfoToFormat(&complex_type).string[0];
            break;
         }
        case 'R':
            if (size == 4)
                *buf = 'f';
            else if (size == 8)
                *buf = 'd';
            else
                *buf = 'g';
            break;
    }
    return result;
}

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

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_d_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[1];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 3,
                                                 &__Pyx_TypeInfo_nn___pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[1];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1,
                                                 &__Pyx_TypeInfo_nn___pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[2];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1,
                                                 &__Pyx_TypeInfo_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeHeapData_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* ObjectToMemviewSlice */
              static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t(PyObject *obj) {
    __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
    __Pyx_BufFmt_StackElem stack[2];
    int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
    int retcode;
    if (obj == Py_None) {
        result.memview = (struct __pyx_memoryview_obj *) Py_None;
        return result;
    }
    retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
                                                 (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT | PyBUF_WRITABLE), 1,
                                                 &__Pyx_TypeInfo_nn_struct____pyx_t_7sklearn_9neighbors_7kd_tree_NodeData_t, stack,
                                                 &result, obj);
    if (unlikely(retcode == -1))
        goto __pyx_fail;
    return result;
__pyx_fail:
    result.memview = NULL;
    result.data = NULL;
    return result;
}

/* 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 */
