19228 lines
851 KiB
C
19228 lines
851 KiB
C
/* Generated by Cython 0.22.1 */
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#define PY_SSIZE_T_CLEAN
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#ifndef CYTHON_USE_PYLONG_INTERNALS
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#ifdef PYLONG_BITS_IN_DIGIT
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#define CYTHON_USE_PYLONG_INTERNALS 0
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#else
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#include "pyconfig.h"
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#ifdef PYLONG_BITS_IN_DIGIT
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#define CYTHON_USE_PYLONG_INTERNALS 1
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#else
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#define CYTHON_USE_PYLONG_INTERNALS 0
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#endif
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#endif
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#endif
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#include "Python.h"
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#ifndef Py_PYTHON_H
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#error Python headers needed to compile C extensions, please install development version of Python.
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#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03020000)
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#error Cython requires Python 2.6+ or Python 3.2+.
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#else
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#define CYTHON_ABI "0_22_1"
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#include <stddef.h>
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#ifndef offsetof
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#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
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#endif
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#if !defined(WIN32) && !defined(MS_WINDOWS)
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#ifndef __stdcall
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#define __stdcall
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#endif
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#ifndef __cdecl
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#define __cdecl
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#endif
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#ifndef __fastcall
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#define __fastcall
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#endif
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#endif
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#ifndef DL_IMPORT
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#define DL_IMPORT(t) t
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#endif
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#ifndef DL_EXPORT
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#define DL_EXPORT(t) t
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#endif
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#ifndef PY_LONG_LONG
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#define PY_LONG_LONG LONG_LONG
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#endif
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#ifndef Py_HUGE_VAL
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#define Py_HUGE_VAL HUGE_VAL
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#endif
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#ifdef PYPY_VERSION
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#define CYTHON_COMPILING_IN_PYPY 1
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#define CYTHON_COMPILING_IN_CPYTHON 0
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#else
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#define CYTHON_COMPILING_IN_PYPY 0
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#define CYTHON_COMPILING_IN_CPYTHON 1
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#endif
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#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
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#define Py_OptimizeFlag 0
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#endif
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#define __PYX_BUILD_PY_SSIZE_T "n"
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#define CYTHON_FORMAT_SSIZE_T "z"
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|
#if PY_MAJOR_VERSION < 3
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#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \
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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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#else
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
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|
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \
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PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#define __Pyx_DefaultClassType PyType_Type
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#endif
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#ifndef Py_TPFLAGS_CHECKTYPES
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#define Py_TPFLAGS_CHECKTYPES 0
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|
#endif
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|
#ifndef Py_TPFLAGS_HAVE_INDEX
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#define Py_TPFLAGS_HAVE_INDEX 0
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|
#endif
|
|
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
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#define Py_TPFLAGS_HAVE_NEWBUFFER 0
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#endif
|
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#ifndef Py_TPFLAGS_HAVE_FINALIZE
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#define Py_TPFLAGS_HAVE_FINALIZE 0
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|
#endif
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|
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
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#define CYTHON_PEP393_ENABLED 1
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#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ? \
|
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0 : _PyUnicode_Ready((PyObject *)(op)))
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
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#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
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|
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
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|
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
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|
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
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#else
|
|
#define CYTHON_PEP393_ENABLED 0
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|
#define __Pyx_PyUnicode_READY(op) (0)
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
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#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
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#define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))
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#define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))
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#define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
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#endif
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#if CYTHON_COMPILING_IN_PYPY
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#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
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#define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)
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#define __Pyx_PyFrozenSet_Size(s) PyObject_Size(s)
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|
#else
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#define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)
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#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ? \
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PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
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#define __Pyx_PyFrozenSet_Size(s) PySet_Size(s)
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|
#endif
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
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#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
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#endif
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#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
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#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
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#if PY_MAJOR_VERSION >= 3
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#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
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#else
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#define __Pyx_PyString_Format(a, b) PyString_Format(a, b)
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyBaseString_Type PyUnicode_Type
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#define PyStringObject PyUnicodeObject
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#define PyString_Type PyUnicode_Type
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#define PyString_Check PyUnicode_Check
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#define PyString_CheckExact PyUnicode_CheckExact
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
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#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
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#else
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#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
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#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
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#endif
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#ifndef PySet_CheckExact
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#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
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#endif
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#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
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#if PY_MAJOR_VERSION >= 3
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#define PyIntObject PyLongObject
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#define PyInt_Type PyLong_Type
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#define PyInt_Check(op) PyLong_Check(op)
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#define PyInt_CheckExact(op) PyLong_CheckExact(op)
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#define PyInt_FromString PyLong_FromString
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#define PyInt_FromUnicode PyLong_FromUnicode
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#define PyInt_FromLong PyLong_FromLong
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#define PyInt_FromSize_t PyLong_FromSize_t
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#define PyInt_FromSsize_t PyLong_FromSsize_t
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|
#define PyInt_AsLong PyLong_AsLong
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|
#define PyInt_AS_LONG PyLong_AS_LONG
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#define PyInt_AsSsize_t PyLong_AsSsize_t
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#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
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#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
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#define PyNumber_Int PyNumber_Long
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#endif
|
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#if PY_MAJOR_VERSION >= 3
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|
#define PyBoolObject PyLongObject
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#endif
|
|
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
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#ifndef PyUnicode_InternFromString
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#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
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#endif
|
|
#endif
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#if PY_VERSION_HEX < 0x030200A4
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typedef long Py_hash_t;
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#define __Pyx_PyInt_FromHash_t PyInt_FromLong
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#define __Pyx_PyInt_AsHash_t PyInt_AsLong
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#else
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#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
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#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
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#else
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#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#endif
|
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#ifndef CYTHON_INLINE
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#if defined(__GNUC__)
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#define CYTHON_INLINE __inline__
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#elif defined(_MSC_VER)
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#define CYTHON_INLINE __inline
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#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
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#define CYTHON_INLINE inline
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#else
|
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#define CYTHON_INLINE
|
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#endif
|
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#endif
|
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#ifndef CYTHON_RESTRICT
|
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#if defined(__GNUC__)
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#define CYTHON_RESTRICT __restrict__
|
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#elif defined(_MSC_VER) && _MSC_VER >= 1400
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#define CYTHON_RESTRICT __restrict
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#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
|
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#define CYTHON_RESTRICT restrict
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|
#else
|
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#define CYTHON_RESTRICT
|
|
#endif
|
|
#endif
|
|
#ifdef NAN
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#define __PYX_NAN() ((float) NAN)
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#else
|
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static CYTHON_INLINE float __PYX_NAN() {
|
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/* Initialize NaN. The sign is irrelevant, an exponent with all bits 1 and
|
|
a nonzero mantissa means NaN. If the first bit in the mantissa is 1, it is
|
|
a quiet NaN. */
|
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float value;
|
|
memset(&value, 0xFF, sizeof(value));
|
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return value;
|
|
}
|
|
#endif
|
|
#define __Pyx_void_to_None(void_result) (void_result, Py_INCREF(Py_None), Py_None)
|
|
#ifdef __cplusplus
|
|
template<typename T>
|
|
void __Pyx_call_destructor(T* x) {
|
|
x->~T();
|
|
}
|
|
template<typename T>
|
|
class __Pyx_FakeReference {
|
|
public:
|
|
__Pyx_FakeReference() : ptr(NULL) { }
|
|
__Pyx_FakeReference(T& ref) : ptr(&ref) { }
|
|
T *operator->() { return ptr; }
|
|
operator T&() { return *ptr; }
|
|
private:
|
|
T *ptr;
|
|
};
|
|
#endif
|
|
|
|
|
|
#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
|
|
|
|
#if defined(WIN32) || defined(MS_WINDOWS)
|
|
#define _USE_MATH_DEFINES
|
|
#endif
|
|
#include <math.h>
|
|
#define __PYX_HAVE__sklearn__tree___tree
|
|
#define __PYX_HAVE_API__sklearn__tree___tree
|
|
#include "string.h"
|
|
#include "stdio.h"
|
|
#include "stdlib.h"
|
|
#include "numpy/arrayobject.h"
|
|
#include "numpy/ufuncobject.h"
|
|
#include "pythread.h"
|
|
#ifdef _OPENMP
|
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#include <omp.h>
|
|
#endif /* _OPENMP */
|
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|
|
#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; 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_fits_Py_ssize_t(v, type, is_signed) ( \
|
|
(sizeof(type) < sizeof(Py_ssize_t)) || \
|
|
(sizeof(type) > sizeof(Py_ssize_t) && \
|
|
likely(v < (type)PY_SSIZE_T_MAX || \
|
|
v == (type)PY_SSIZE_T_MAX) && \
|
|
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN || \
|
|
v == (type)PY_SSIZE_T_MIN))) || \
|
|
(sizeof(type) == sizeof(Py_ssize_t) && \
|
|
(is_signed || likely(v < (type)PY_SSIZE_T_MAX || \
|
|
v == (type)PY_SSIZE_T_MAX))) )
|
|
static CYTHON_INLINE 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_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None)
|
|
#define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False))
|
|
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
|
|
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(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 && __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 int __pyx_lineno;
|
|
static int __pyx_clineno = 0;
|
|
static const char * __pyx_cfilenm= __FILE__;
|
|
static const char *__pyx_filename;
|
|
|
|
#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/tree/_tree.pyx",
|
|
"sklearn/tree/_tree.pxd",
|
|
"__init__.pxd",
|
|
"type.pxd",
|
|
"sklearn/tree/_criterion.pxd",
|
|
"sklearn/tree/_splitter.pxd",
|
|
"bool.pxd",
|
|
"complex.pxd",
|
|
"sklearn/tree/_utils.pxd",
|
|
};
|
|
#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;
|
|
size_t offset;
|
|
} __Pyx_StructField;
|
|
typedef struct {
|
|
__Pyx_StructField* field;
|
|
size_t parent_offset;
|
|
} __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;
|
|
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":726
|
|
* # 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-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
|
|
*/
|
|
typedef npy_int16 __pyx_t_5numpy_int16_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":728
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":729
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":733
|
|
* #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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-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
|
|
*/
|
|
typedef npy_uint16 __pyx_t_5numpy_uint16_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":735
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":736
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":740
|
|
* #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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":741
|
|
*
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":750
|
|
* # 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":751
|
|
* # 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":752
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":754
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":755
|
|
*
|
|
* ctypedef npy_ulong uint_t
|
|
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":756
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":758
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uintp uintp_t
|
|
*
|
|
*/
|
|
typedef npy_intp __pyx_t_5numpy_intp_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":759
|
|
*
|
|
* ctypedef npy_intp intp_t
|
|
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_double float_t
|
|
*/
|
|
typedef npy_uintp __pyx_t_5numpy_uintp_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":761
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":762
|
|
*
|
|
* ctypedef npy_double float_t
|
|
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_double_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":763
|
|
* 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;
|
|
|
|
/* "sklearn/tree/_criterion.pxd":15
|
|
* cimport numpy as np
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
*/
|
|
typedef npy_float32 __pyx_t_7sklearn_4tree_10_criterion_DTYPE_t;
|
|
|
|
/* "sklearn/tree/_criterion.pxd":16
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
*/
|
|
typedef npy_float64 __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t;
|
|
|
|
/* "sklearn/tree/_criterion.pxd":17
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*/
|
|
typedef npy_intp __pyx_t_7sklearn_4tree_10_criterion_SIZE_t;
|
|
|
|
/* "sklearn/tree/_criterion.pxd":18
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
*/
|
|
typedef npy_int32 __pyx_t_7sklearn_4tree_10_criterion_INT32_t;
|
|
|
|
/* "sklearn/tree/_criterion.pxd":19
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef class Criterion:
|
|
*/
|
|
typedef npy_uint32 __pyx_t_7sklearn_4tree_10_criterion_UINT32_t;
|
|
|
|
/* "sklearn/tree/_splitter.pxd":17
|
|
* from ._criterion cimport Criterion
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
*/
|
|
typedef npy_float32 __pyx_t_7sklearn_4tree_9_splitter_DTYPE_t;
|
|
|
|
/* "sklearn/tree/_splitter.pxd":18
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
*/
|
|
typedef npy_float64 __pyx_t_7sklearn_4tree_9_splitter_DOUBLE_t;
|
|
|
|
/* "sklearn/tree/_splitter.pxd":19
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*/
|
|
typedef npy_intp __pyx_t_7sklearn_4tree_9_splitter_SIZE_t;
|
|
|
|
/* "sklearn/tree/_splitter.pxd":20
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
*/
|
|
typedef npy_int32 __pyx_t_7sklearn_4tree_9_splitter_INT32_t;
|
|
|
|
/* "sklearn/tree/_splitter.pxd":21
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef struct SplitRecord:
|
|
*/
|
|
typedef npy_uint32 __pyx_t_7sklearn_4tree_9_splitter_UINT32_t;
|
|
|
|
/* "sklearn/tree/_utils.pxd":13
|
|
* cimport numpy as np
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
*/
|
|
typedef npy_float32 __pyx_t_7sklearn_4tree_6_utils_DTYPE_t;
|
|
|
|
/* "sklearn/tree/_utils.pxd":14
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
*/
|
|
typedef npy_float64 __pyx_t_7sklearn_4tree_6_utils_DOUBLE_t;
|
|
|
|
/* "sklearn/tree/_utils.pxd":15
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*/
|
|
typedef npy_intp __pyx_t_7sklearn_4tree_6_utils_SIZE_t;
|
|
|
|
/* "sklearn/tree/_utils.pxd":16
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
*/
|
|
typedef npy_int32 __pyx_t_7sklearn_4tree_6_utils_INT32_t;
|
|
|
|
/* "sklearn/tree/_utils.pxd":17
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef enum:
|
|
*/
|
|
typedef npy_uint32 __pyx_t_7sklearn_4tree_6_utils_UINT32_t;
|
|
|
|
/* "sklearn/tree/_tree.pxd":15
|
|
* cimport numpy as np
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
*/
|
|
typedef npy_float32 __pyx_t_7sklearn_4tree_5_tree_DTYPE_t;
|
|
|
|
/* "sklearn/tree/_tree.pxd":16
|
|
*
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
*/
|
|
typedef npy_float64 __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t;
|
|
|
|
/* "sklearn/tree/_tree.pxd":17
|
|
* ctypedef np.npy_float32 DTYPE_t # Type of X
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*/
|
|
typedef npy_intp __pyx_t_7sklearn_4tree_5_tree_SIZE_t;
|
|
|
|
/* "sklearn/tree/_tree.pxd":18
|
|
* ctypedef np.npy_float64 DOUBLE_t # Type of y, sample_weight
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer # <<<<<<<<<<<<<<
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
*/
|
|
typedef npy_int32 __pyx_t_7sklearn_4tree_5_tree_INT32_t;
|
|
|
|
/* "sklearn/tree/_tree.pxd":19
|
|
* ctypedef np.npy_intp SIZE_t # Type for indices and counters
|
|
* ctypedef np.npy_int32 INT32_t # Signed 32 bit integer
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer # <<<<<<<<<<<<<<
|
|
*
|
|
* from ._splitter cimport Splitter
|
|
*/
|
|
typedef npy_uint32 __pyx_t_7sklearn_4tree_5_tree_UINT32_t;
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
typedef ::std::complex< float > __pyx_t_float_complex;
|
|
#else
|
|
typedef float _Complex __pyx_t_float_complex;
|
|
#endif
|
|
#else
|
|
typedef struct { float real, imag; } __pyx_t_float_complex;
|
|
#endif
|
|
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
typedef ::std::complex< double > __pyx_t_double_complex;
|
|
#else
|
|
typedef double _Complex __pyx_t_double_complex;
|
|
#endif
|
|
#else
|
|
typedef struct { double real, imag; } __pyx_t_double_complex;
|
|
#endif
|
|
|
|
|
|
/*--- Type declarations ---*/
|
|
struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion;
|
|
struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter;
|
|
struct __pyx_obj_7sklearn_4tree_6_utils_Stack;
|
|
struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Tree;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":765
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":766
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
|
|
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":767
|
|
* 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;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":769
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef inline object PyArray_MultiIterNew1(a):
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_complex_t;
|
|
struct __pyx_t_7sklearn_4tree_9_splitter_SplitRecord;
|
|
struct __pyx_opt_args_7sklearn_4tree_9_splitter_8Splitter_init;
|
|
|
|
/* "sklearn/tree/_splitter.pxd":23
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
* cdef struct SplitRecord: # <<<<<<<<<<<<<<
|
|
* # Data to track sample split
|
|
* SIZE_t feature # Which feature to split on.
|
|
*/
|
|
struct __pyx_t_7sklearn_4tree_9_splitter_SplitRecord {
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t feature;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t pos;
|
|
double threshold;
|
|
double improvement;
|
|
double impurity_left;
|
|
double impurity_right;
|
|
};
|
|
|
|
/* "sklearn/tree/_splitter.pxd":84
|
|
*
|
|
* # Methods
|
|
* cdef void init(self, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* DOUBLE_t* sample_weight,
|
|
* np.ndarray X_idx_sorted=*) except *
|
|
*/
|
|
struct __pyx_opt_args_7sklearn_4tree_9_splitter_8Splitter_init {
|
|
int __pyx_n;
|
|
PyArrayObject *X_idx_sorted;
|
|
};
|
|
struct __pyx_t_7sklearn_4tree_6_utils_StackRecord;
|
|
struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord;
|
|
|
|
/* "sklearn/tree/_utils.pxd":19
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
* cdef enum: # <<<<<<<<<<<<<<
|
|
* # Max value for our rand_r replacement (near the bottom).
|
|
* # We don't use RAND_MAX because it's different across platforms and
|
|
*/
|
|
enum {
|
|
__pyx_e_7sklearn_4tree_6_utils_RAND_R_MAX = 0x7FFFFFFF
|
|
};
|
|
|
|
/* "sklearn/tree/_utils.pxd":58
|
|
*
|
|
* # A record on the stack for depth-first tree growing
|
|
* cdef struct StackRecord: # <<<<<<<<<<<<<<
|
|
* SIZE_t start
|
|
* SIZE_t end
|
|
*/
|
|
struct __pyx_t_7sklearn_4tree_6_utils_StackRecord {
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t start;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t end;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t depth;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t parent;
|
|
int is_left;
|
|
double impurity;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t n_constant_features;
|
|
};
|
|
|
|
/* "sklearn/tree/_utils.pxd":84
|
|
*
|
|
* # A record on the frontier for best-first tree growing
|
|
* cdef struct PriorityHeapRecord: # <<<<<<<<<<<<<<
|
|
* SIZE_t node_id
|
|
* SIZE_t start
|
|
*/
|
|
struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord {
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t node_id;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t start;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t end;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t pos;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t depth;
|
|
int is_leaf;
|
|
double impurity;
|
|
double impurity_left;
|
|
double impurity_right;
|
|
double improvement;
|
|
};
|
|
struct __pyx_t_7sklearn_4tree_5_tree_Node;
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree__resize_c;
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances;
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build;
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_build;
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build;
|
|
|
|
/* "sklearn/tree/_tree.pxd":24
|
|
* from ._splitter cimport SplitRecord
|
|
*
|
|
* cdef struct Node: # <<<<<<<<<<<<<<
|
|
* # Base storage structure for the nodes in a Tree object
|
|
*
|
|
*/
|
|
struct __pyx_t_7sklearn_4tree_5_tree_Node {
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t left_child;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t right_child;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t feature;
|
|
__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t threshold;
|
|
__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t impurity;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t n_node_samples;
|
|
__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t weighted_n_node_samples;
|
|
};
|
|
|
|
/* "sklearn/tree/_tree.pxd":62
|
|
* double weighted_n_samples) nogil
|
|
* cdef void _resize(self, SIZE_t capacity) except *
|
|
* cdef int _resize_c(self, SIZE_t capacity=*) nogil # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef np.ndarray _get_value_ndarray(self)
|
|
*/
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree__resize_c {
|
|
int __pyx_n;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t capacity;
|
|
};
|
|
|
|
/* "sklearn/tree/_tree.pxd":77
|
|
* cdef object _decision_path_sparse_csr(self, object X)
|
|
*
|
|
* cpdef compute_feature_importances(self, normalize=*) # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances {
|
|
int __pyx_n;
|
|
PyObject *normalize;
|
|
};
|
|
|
|
/* "sklearn/tree/_tree.pxd":99
|
|
* cdef SIZE_t max_depth # Maximal tree depth
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=*,
|
|
* np.ndarray X_idx_sorted=*)
|
|
*/
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build {
|
|
int __pyx_n;
|
|
PyArrayObject *sample_weight;
|
|
PyArrayObject *X_idx_sorted;
|
|
};
|
|
|
|
/* "sklearn/tree/_tree.pyx":141
|
|
* self.max_depth = max_depth
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None):
|
|
*/
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_build {
|
|
int __pyx_n;
|
|
PyArrayObject *sample_weight;
|
|
PyArrayObject *X_idx_sorted;
|
|
};
|
|
|
|
/* "sklearn/tree/_tree.pyx":299
|
|
* self.max_leaf_nodes = max_leaf_nodes
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None):
|
|
*/
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build {
|
|
int __pyx_n;
|
|
PyArrayObject *sample_weight;
|
|
PyArrayObject *X_idx_sorted;
|
|
};
|
|
|
|
/* "sklearn/tree/_criterion.pxd":21
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
* cdef class Criterion: # <<<<<<<<<<<<<<
|
|
* # The criterion computes the impurity of a node and the reduction of
|
|
* # impurity of a split on that node. It also computes the output statistics
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion *__pyx_vtab;
|
|
__pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *y;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t y_stride;
|
|
__pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *sample_weight;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t *samples;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t start;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t pos;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t end;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t n_outputs;
|
|
__pyx_t_7sklearn_4tree_10_criterion_SIZE_t n_node_samples;
|
|
double weighted_n_samples;
|
|
double weighted_n_node_samples;
|
|
double weighted_n_left;
|
|
double weighted_n_right;
|
|
double *sum_total;
|
|
double *sum_left;
|
|
double *sum_right;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_splitter.pxd":34
|
|
* double impurity_right # Impurity of the right split.
|
|
*
|
|
* cdef class Splitter: # <<<<<<<<<<<<<<
|
|
* # The splitter searches in the input space for a feature and a threshold
|
|
* # to split the samples samples[start:end].
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *__pyx_vtab;
|
|
struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *criterion;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t max_features;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t min_samples_leaf;
|
|
double min_weight_leaf;
|
|
PyObject *random_state;
|
|
__pyx_t_7sklearn_4tree_9_splitter_UINT32_t rand_r_state;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t *samples;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t n_samples;
|
|
double weighted_n_samples;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t *features;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t *constant_features;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t n_features;
|
|
__pyx_t_7sklearn_4tree_9_splitter_DTYPE_t *feature_values;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t start;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t end;
|
|
int presort;
|
|
__pyx_t_7sklearn_4tree_9_splitter_DOUBLE_t *y;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t y_stride;
|
|
__pyx_t_7sklearn_4tree_9_splitter_DOUBLE_t *sample_weight;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_utils.pxd":67
|
|
* SIZE_t n_constant_features
|
|
*
|
|
* cdef class Stack: # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t capacity
|
|
* cdef SIZE_t top
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_6_utils_Stack {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *__pyx_vtab;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t capacity;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t top;
|
|
struct __pyx_t_7sklearn_4tree_6_utils_StackRecord *stack_;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_utils.pxd":96
|
|
* double improvement
|
|
*
|
|
* cdef class PriorityHeap: # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t capacity
|
|
* cdef SIZE_t heap_ptr
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *__pyx_vtab;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t capacity;
|
|
__pyx_t_7sklearn_4tree_6_utils_SIZE_t heap_ptr;
|
|
struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *heap_;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pxd":36
|
|
*
|
|
*
|
|
* cdef class Tree: # <<<<<<<<<<<<<<
|
|
* # The Tree object is a binary tree structure constructed by the
|
|
* # TreeBuilder. The tree structure is used for predictions and
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Tree {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *__pyx_vtab;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t n_features;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t *n_classes;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t n_outputs;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t max_n_classes;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t max_depth;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t node_count;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t capacity;
|
|
struct __pyx_t_7sklearn_4tree_5_tree_Node *nodes;
|
|
double *value;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t value_stride;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pxd":84
|
|
* # =============================================================================
|
|
*
|
|
* cdef class TreeBuilder: # <<<<<<<<<<<<<<
|
|
* # The TreeBuilder recursively builds a Tree object from training samples,
|
|
* # using a Splitter object for splitting internal nodes and assigning
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_TreeBuilder *__pyx_vtab;
|
|
struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *splitter;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t min_samples_split;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t min_samples_leaf;
|
|
double min_weight_leaf;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t max_depth;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":129
|
|
* # Depth first builder ---------------------------------------------------------
|
|
*
|
|
* cdef class DepthFirstTreeBuilder(TreeBuilder): # <<<<<<<<<<<<<<
|
|
* """Build a decision tree in depth-first fashion."""
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":279
|
|
*
|
|
*
|
|
* cdef class BestFirstTreeBuilder(TreeBuilder): # <<<<<<<<<<<<<<
|
|
* """Build a decision tree in best-first fashion.
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder __pyx_base;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t max_leaf_nodes;
|
|
};
|
|
|
|
|
|
|
|
/* "sklearn/tree/_criterion.pxd":21
|
|
* ctypedef np.npy_uint32 UINT32_t # Unsigned 32 bit integer
|
|
*
|
|
* cdef class Criterion: # <<<<<<<<<<<<<<
|
|
* # The criterion computes the impurity of a node and the reduction of
|
|
* # impurity of a split on that node. It also computes the output statistics
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion {
|
|
void (*init)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t, __pyx_t_7sklearn_4tree_10_criterion_DOUBLE_t *, double, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t *, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t);
|
|
void (*reset)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
|
|
void (*reverse_reset)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
|
|
void (*update)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, __pyx_t_7sklearn_4tree_10_criterion_SIZE_t);
|
|
double (*node_impurity)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
|
|
void (*children_impurity)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, double *, double *);
|
|
void (*node_value)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, double *);
|
|
double (*impurity_improvement)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *, double);
|
|
double (*proxy_impurity_improvement)(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion *__pyx_vtabptr_7sklearn_4tree_10_criterion_Criterion;
|
|
|
|
|
|
/* "sklearn/tree/_splitter.pxd":34
|
|
* double impurity_right # Impurity of the right split.
|
|
*
|
|
* cdef class Splitter: # <<<<<<<<<<<<<<
|
|
* # The splitter searches in the input space for a feature and a threshold
|
|
* # to split the samples samples[start:end].
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter {
|
|
void (*init)(struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, PyObject *, PyArrayObject *, __pyx_t_7sklearn_4tree_9_splitter_DOUBLE_t *, struct __pyx_opt_args_7sklearn_4tree_9_splitter_8Splitter_init *__pyx_optional_args);
|
|
void (*node_reset)(struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, __pyx_t_7sklearn_4tree_9_splitter_SIZE_t, __pyx_t_7sklearn_4tree_9_splitter_SIZE_t, double *);
|
|
void (*node_split)(struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, double, struct __pyx_t_7sklearn_4tree_9_splitter_SplitRecord *, __pyx_t_7sklearn_4tree_9_splitter_SIZE_t *);
|
|
void (*node_value)(struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, double *);
|
|
double (*node_impurity)(struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *__pyx_vtabptr_7sklearn_4tree_9_splitter_Splitter;
|
|
|
|
|
|
/* "sklearn/tree/_utils.pxd":67
|
|
* SIZE_t n_constant_features
|
|
*
|
|
* cdef class Stack: # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t capacity
|
|
* cdef SIZE_t top
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack {
|
|
int (*is_empty)(struct __pyx_obj_7sklearn_4tree_6_utils_Stack *);
|
|
int (*push)(struct __pyx_obj_7sklearn_4tree_6_utils_Stack *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, int, double, __pyx_t_7sklearn_4tree_6_utils_SIZE_t);
|
|
int (*pop)(struct __pyx_obj_7sklearn_4tree_6_utils_Stack *, struct __pyx_t_7sklearn_4tree_6_utils_StackRecord *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *__pyx_vtabptr_7sklearn_4tree_6_utils_Stack;
|
|
|
|
|
|
/* "sklearn/tree/_utils.pxd":96
|
|
* double improvement
|
|
*
|
|
* cdef class PriorityHeap: # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t capacity
|
|
* cdef SIZE_t heap_ptr
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap {
|
|
int (*is_empty)(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *);
|
|
int (*push)(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, __pyx_t_7sklearn_4tree_6_utils_SIZE_t, int, double, double, double, double);
|
|
int (*pop)(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *__pyx_vtabptr_7sklearn_4tree_6_utils_PriorityHeap;
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":484
|
|
* # =============================================================================
|
|
*
|
|
* cdef class Tree: # <<<<<<<<<<<<<<
|
|
* """Array-based representation of a binary decision tree.
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree {
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t (*_add_node)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, int, int, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double, double, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double);
|
|
void (*_resize)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t);
|
|
int (*_resize_c)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree__resize_c *__pyx_optional_args);
|
|
PyArrayObject *(*_get_value_ndarray)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *);
|
|
PyArrayObject *(*_get_node_ndarray)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *);
|
|
PyArrayObject *(*predict)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, int __pyx_skip_dispatch);
|
|
PyArrayObject *(*apply)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, int __pyx_skip_dispatch);
|
|
PyArrayObject *(*_apply_dense)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
PyArrayObject *(*_apply_sparse_csr)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
PyObject *(*decision_path)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, int __pyx_skip_dispatch);
|
|
PyObject *(*_decision_path_dense)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
PyObject *(*_decision_path_sparse_csr)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
PyObject *(*compute_feature_importances)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances *__pyx_optional_args);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *__pyx_vtabptr_7sklearn_4tree_5_tree_Tree;
|
|
static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__apply_dense(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__apply_sparse_csr(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__decision_path_dense(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__decision_path_sparse_csr(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *);
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":89
|
|
* # =============================================================================
|
|
*
|
|
* cdef class TreeBuilder: # <<<<<<<<<<<<<<
|
|
* """Interface for different tree building strategies."""
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_TreeBuilder {
|
|
PyObject *(*build)(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build *__pyx_optional_args);
|
|
PyObject *(*_check_input)(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, PyObject *, PyArrayObject *, PyArrayObject *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_TreeBuilder *__pyx_vtabptr_7sklearn_4tree_5_tree_TreeBuilder;
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_11TreeBuilder__check_input(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, PyObject *, PyArrayObject *, PyArrayObject *);
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":129
|
|
* # Depth first builder ---------------------------------------------------------
|
|
*
|
|
* cdef class DepthFirstTreeBuilder(TreeBuilder): # <<<<<<<<<<<<<<
|
|
* """Build a decision tree in depth-first fashion."""
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_DepthFirstTreeBuilder {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_TreeBuilder __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_DepthFirstTreeBuilder *__pyx_vtabptr_7sklearn_4tree_5_tree_DepthFirstTreeBuilder;
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":279
|
|
*
|
|
*
|
|
* cdef class BestFirstTreeBuilder(TreeBuilder): # <<<<<<<<<<<<<<
|
|
* """Build a decision tree in best-first fashion.
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_BestFirstTreeBuilder {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_TreeBuilder __pyx_base;
|
|
int (*_add_split_node)(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double, int, int, struct __pyx_t_7sklearn_4tree_5_tree_Node *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_vtabptr_7sklearn_4tree_5_tree_BestFirstTreeBuilder;
|
|
static CYTHON_INLINE int __pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double, int, int, struct __pyx_t_7sklearn_4tree_5_tree_Node *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *);
|
|
|
|
/* --- Runtime support code (head) --- */
|
|
#ifndef CYTHON_REFNANNY
|
|
#define CYTHON_REFNANNY 0
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|
#endif
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#if CYTHON_REFNANNY
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typedef struct {
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void (*INCREF)(void*, PyObject*, int);
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void (*DECREF)(void*, PyObject*, int);
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void (*GOTREF)(void*, PyObject*, int);
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|
void (*GIVEREF)(void*, PyObject*, int);
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|
void* (*SetupContext)(const char*, int, const char*);
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void (*FinishContext)(void**);
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} __Pyx_RefNannyAPIStruct;
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static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
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static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
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#define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
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#ifdef WITH_THREAD
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#define __Pyx_RefNannySetupContext(name, acquire_gil) \
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if (acquire_gil) { \
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PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); \
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#define __Pyx_RefNannySetupContext(name, acquire_gil) \
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__pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
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#define __Pyx_RefNannyFinishContext() \
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__Pyx_RefNanny->FinishContext(&__pyx_refnanny)
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#define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
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#define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
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#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
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#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
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#define __Pyx_RefNannyDeclarations
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#define __Pyx_RefNannySetupContext(name, acquire_gil)
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#define __Pyx_RefNannyFinishContext()
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#define __Pyx_INCREF(r) Py_INCREF(r)
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#define __Pyx_DECREF(r) Py_DECREF(r)
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#define __Pyx_GOTREF(r)
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#define __Pyx_GIVEREF(r)
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#define __Pyx_XINCREF(r) Py_XINCREF(r)
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#define __Pyx_XDECREF(r) Py_XDECREF(r)
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#define __Pyx_XGOTREF(r)
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#define __Pyx_XGIVEREF(r)
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#endif
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#define __Pyx_XDECREF_SET(r, v) do { \
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PyObject *tmp = (PyObject *) r; \
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r = v; __Pyx_XDECREF(tmp); \
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} while (0)
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#define __Pyx_DECREF_SET(r, v) do { \
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PyObject *tmp = (PyObject *) r; \
|
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r = v; __Pyx_DECREF(tmp); \
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} while (0)
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#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
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#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
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|
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#if CYTHON_COMPILING_IN_CPYTHON
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
|
|
PyTypeObject* tp = Py_TYPE(obj);
|
|
if (likely(tp->tp_getattro))
|
|
return tp->tp_getattro(obj, attr_name);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(tp->tp_getattr))
|
|
return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
|
|
#endif
|
|
return PyObject_GetAttr(obj, attr_name);
|
|
}
|
|
#else
|
|
#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
|
|
#endif
|
|
|
|
static PyObject *__Pyx_GetBuiltinName(PyObject *name);
|
|
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
|
|
#else
|
|
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
|
|
#endif
|
|
|
|
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);
|
|
|
|
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);
|
|
|
|
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \
|
|
PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \
|
|
const char* function_name);
|
|
|
|
static CYTHON_INLINE int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
|
|
const char *name, int exact);
|
|
|
|
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);
|
|
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
|
|
#endif
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
|
|
|
|
#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
|
|
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o,n,NULL)
|
|
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) {
|
|
PyTypeObject* tp = Py_TYPE(obj);
|
|
if (likely(tp->tp_setattro))
|
|
return tp->tp_setattro(obj, attr_name, value);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(tp->tp_setattr))
|
|
return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value);
|
|
#endif
|
|
return PyObject_SetAttr(obj, attr_name, value);
|
|
}
|
|
#else
|
|
#define __Pyx_PyObject_DelAttrStr(o,n) PyObject_DelAttr(o,n)
|
|
#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v)
|
|
#endif
|
|
|
|
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
|
|
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
|
|
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
|
|
|
|
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
|
|
|
|
static CYTHON_INLINE int __Pyx_IterFinish(void);
|
|
|
|
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);
|
|
|
|
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);
|
|
|
|
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj,
|
|
__Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack);
|
|
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);
|
|
|
|
#define __Pyx_BufPtrStrided1d(type, buf, i0, s0) (type)((char*)buf + i0 * s0)
|
|
static CYTHON_INLINE int __Pyx_PySequence_Contains(PyObject* item, PyObject* seq, int eq) {
|
|
int result = PySequence_Contains(seq, item);
|
|
return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
|
|
}
|
|
|
|
#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);
|
|
|
|
static void __Pyx_RaiseBufferFallbackError(void);
|
|
|
|
#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
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
|
|
|
|
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
|
|
|
|
static void* __Pyx_GetVtable(PyObject *dict);
|
|
|
|
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
|
|
|
|
typedef struct {
|
|
int code_line;
|
|
PyCodeObject* code_object;
|
|
} __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);
|
|
|
|
static void __Pyx_AddTraceback(const char *funcname, int c_line,
|
|
int py_line, const char *filename);
|
|
|
|
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
|
|
|
|
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;
|
|
|
|
#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
|
|
|
|
|
|
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};
|
|
|
|
static CYTHON_INLINE Py_intptr_t __Pyx_PyInt_As_Py_intptr_t(PyObject *);
|
|
|
|
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
|
|
|
|
static CYTHON_INLINE long __Pyx_pow_long(long, long); /* proto */
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_Py_intptr_t(Py_intptr_t value);
|
|
|
|
#ifndef __PYX_FORCE_INIT_THREADS
|
|
#define __PYX_FORCE_INIT_THREADS 0
|
|
#endif
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_npy_int32(npy_int32 value);
|
|
|
|
static CYTHON_INLINE npy_int32 __Pyx_PyInt_As_npy_int32(PyObject *);
|
|
|
|
#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(_WIN32) || defined(__clang__)) && defined(__cplusplus) && CYTHON_CCOMPLEX
|
|
#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
|
|
|
|
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);
|
|
|
|
#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
|
|
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
|
|
|
|
#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)
|
|
#define __Pyx_c_conj(z) (::std::conj(z))
|
|
#if 1
|
|
#define __Pyx_c_abs(z) (::std::abs(z))
|
|
#define __Pyx_c_pow(a, b) (::std::pow(a, b))
|
|
#endif
|
|
#else
|
|
#define __Pyx_c_is_zero(z) ((z)==0)
|
|
#define __Pyx_c_conj(z) (conj(z))
|
|
#if 1
|
|
#define __Pyx_c_abs(z) (cabs(z))
|
|
#define __Pyx_c_pow(a, b) (cpow(a, b))
|
|
#endif
|
|
#endif
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex);
|
|
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex);
|
|
#if 1
|
|
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
#endif
|
|
#endif
|
|
|
|
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
|
|
|
|
static int __Pyx_check_binary_version(void);
|
|
|
|
#if !defined(__Pyx_PyIdentifier_FromString)
|
|
#if PY_MAJOR_VERSION < 3
|
|
#define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
|
|
#else
|
|
#define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s)
|
|
#endif
|
|
#endif
|
|
|
|
static PyObject *__Pyx_ImportModule(const char *name);
|
|
|
|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict);
|
|
|
|
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig);
|
|
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
|
|
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_11TreeBuilder_build(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *__pyx_v_self, CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, CYTHON_UNUSED PyObject *__pyx_v_X, CYTHON_UNUSED PyArrayObject *__pyx_v_y, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build *__pyx_optional_args); /* proto*/
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_11TreeBuilder__check_input(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *__pyx_v_self, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_sample_weight); /* proto*/
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_build(struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_build *__pyx_optional_args); /* proto*/
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build *__pyx_optional_args); /* proto*/
|
|
static CYTHON_INLINE int __pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *__pyx_v_splitter, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_start, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_end, double __pyx_v_impurity, int __pyx_v_is_first, int __pyx_v_is_left, struct __pyx_t_7sklearn_4tree_5_tree_Node *__pyx_v_parent, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_depth, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *__pyx_v_res); /* proto*/
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static void __pyx_f_7sklearn_4tree_5_tree_4Tree__resize(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_capacity); /* proto*/
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static int __pyx_f_7sklearn_4tree_5_tree_4Tree__resize_c(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree__resize_c *__pyx_optional_args); /* proto*/
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static __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_f_7sklearn_4tree_5_tree_4Tree__add_node(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_parent, int __pyx_v_is_left, int __pyx_v_is_leaf, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_feature, double __pyx_v_threshold, double __pyx_v_impurity, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_n_node_samples, double __pyx_v_weighted_n_node_samples); /* proto*/
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static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree_predict(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X, int __pyx_skip_dispatch); /* proto*/
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static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree_apply(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X, int __pyx_skip_dispatch); /* proto*/
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static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__apply_dense(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto*/
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static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__apply_sparse_csr(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto*/
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static PyObject *__pyx_f_7sklearn_4tree_5_tree_4Tree_decision_path(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X, int __pyx_skip_dispatch); /* proto*/
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static PyObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__decision_path_dense(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto*/
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static PyObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__decision_path_sparse_csr(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto*/
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static PyObject *__pyx_f_7sklearn_4tree_5_tree_4Tree_compute_feature_importances(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances *__pyx_optional_args); /* proto*/
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static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__get_value_ndarray(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto*/
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static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto*/
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/* Module declarations from 'cpython.buffer' */
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/* Module declarations from 'cpython.ref' */
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/* Module declarations from 'libc.string' */
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/* Module declarations from 'libc.stdio' */
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/* Module declarations from 'cpython.object' */
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/* Module declarations from '__builtin__' */
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/* Module declarations from 'cpython.type' */
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static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
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/* Module declarations from 'libc.stdlib' */
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/* Module declarations from 'numpy' */
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/* Module declarations from 'numpy' */
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static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
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static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
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static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
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static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
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static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
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static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
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/* Module declarations from 'sklearn.tree._criterion' */
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_10_criterion_Criterion = 0;
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/* Module declarations from 'sklearn.tree._splitter' */
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_9_splitter_Splitter = 0;
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/* Module declarations from 'cpython.version' */
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/* Module declarations from 'cpython.exc' */
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/* Module declarations from 'cpython.module' */
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/* Module declarations from 'cpython.mem' */
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/* Module declarations from 'cpython.tuple' */
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/* Module declarations from 'cpython.list' */
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/* Module declarations from 'cpython.sequence' */
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/* Module declarations from 'cpython.mapping' */
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/* Module declarations from 'cpython.iterator' */
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/* Module declarations from 'cpython.number' */
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/* Module declarations from 'cpython.int' */
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/* Module declarations from '__builtin__' */
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/* Module declarations from 'cpython.bool' */
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static PyTypeObject *__pyx_ptype_7cpython_4bool_bool = 0;
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/* Module declarations from 'cpython.long' */
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/* Module declarations from 'cpython.float' */
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/* Module declarations from '__builtin__' */
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/* Module declarations from 'cpython.complex' */
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static PyTypeObject *__pyx_ptype_7cpython_7complex_complex = 0;
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/* Module declarations from 'cpython.string' */
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/* Module declarations from 'cpython.unicode' */
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/* Module declarations from 'cpython.dict' */
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/* Module declarations from 'cpython.instance' */
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/* Module declarations from 'cpython.function' */
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/* Module declarations from 'cpython.method' */
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/* Module declarations from 'cpython.weakref' */
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/* Module declarations from 'cpython.getargs' */
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/* Module declarations from 'cpython.pythread' */
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/* Module declarations from 'cpython.pystate' */
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/* Module declarations from 'cpython.cobject' */
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/* Module declarations from 'cpython.oldbuffer' */
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/* Module declarations from 'cpython.set' */
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/* Module declarations from 'cpython.bytes' */
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/* Module declarations from 'cpython.pycapsule' */
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/* Module declarations from 'cpython' */
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/* Module declarations from 'sklearn.tree._utils' */
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_6_utils_Stack = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_6_utils_PriorityHeap = 0;
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static PyArrayObject *(*__pyx_f_7sklearn_4tree_6_utils_sizet_ptr_to_ndarray)(__pyx_t_7sklearn_4tree_6_utils_SIZE_t *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t); /*proto*/
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static __pyx_t_7sklearn_4tree_6_utils_DTYPE_t *(*__pyx_fuse_0__pyx_f_7sklearn_4tree_6_utils_safe_realloc)(__pyx_t_7sklearn_4tree_6_utils_DTYPE_t **, size_t); /*proto*/
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static __pyx_t_7sklearn_4tree_6_utils_SIZE_t *(*__pyx_fuse_1__pyx_f_7sklearn_4tree_6_utils_safe_realloc)(__pyx_t_7sklearn_4tree_6_utils_SIZE_t **, size_t); /*proto*/
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static unsigned char *(*__pyx_fuse_2__pyx_f_7sklearn_4tree_6_utils_safe_realloc)(unsigned char **, size_t); /*proto*/
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/* Module declarations from 'sklearn.tree._tree' */
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_Tree = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_TreeBuilder = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_DepthFirstTreeBuilder = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_BestFirstTreeBuilder = 0;
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static double __pyx_v_7sklearn_4tree_5_tree_INFINITY;
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static int __pyx_v_7sklearn_4tree_5_tree_IS_FIRST;
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static int __pyx_v_7sklearn_4tree_5_tree_IS_NOT_FIRST;
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static int __pyx_v_7sklearn_4tree_5_tree_IS_LEFT;
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static int __pyx_v_7sklearn_4tree_5_tree_IS_NOT_LEFT;
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static __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF;
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static __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED;
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static __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_7sklearn_4tree_5_tree_INITIAL_STACK_SIZE;
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|
static __pyx_t_7sklearn_4tree_5_tree_DTYPE_t __pyx_v_7sklearn_4tree_5_tree_MIN_IMPURITY_SPLIT;
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|
static CYTHON_INLINE int __pyx_f_7sklearn_4tree_5_tree__add_to_frontier(struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *, struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *); /*proto*/
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|
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_4tree_5_tree_SIZE_t = { "SIZE_t", NULL, sizeof(__pyx_t_7sklearn_4tree_5_tree_SIZE_t), { 0 }, 0, IS_UNSIGNED(__pyx_t_7sklearn_4tree_5_tree_SIZE_t) ? 'U' : 'I', IS_UNSIGNED(__pyx_t_7sklearn_4tree_5_tree_SIZE_t), 0 };
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_4tree_5_tree_DTYPE_t = { "DTYPE_t", NULL, sizeof(__pyx_t_7sklearn_4tree_5_tree_DTYPE_t), { 0 }, 0, 'R', 0, 0 };
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|
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_4tree_5_tree_INT32_t = { "INT32_t", NULL, sizeof(__pyx_t_7sklearn_4tree_5_tree_INT32_t), { 0 }, 0, IS_UNSIGNED(__pyx_t_7sklearn_4tree_5_tree_INT32_t) ? 'U' : 'I', IS_UNSIGNED(__pyx_t_7sklearn_4tree_5_tree_INT32_t), 0 };
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|
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 };
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|
#define __Pyx_MODULE_NAME "sklearn.tree._tree"
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|
int __pyx_module_is_main_sklearn__tree___tree = 0;
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|
|
/* Implementation of 'sklearn.tree._tree' */
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|
static PyObject *__pyx_builtin_ValueError;
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|
static PyObject *__pyx_builtin_MemoryError;
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|
static PyObject *__pyx_builtin_range;
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|
static PyObject *__pyx_builtin_RuntimeError;
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|
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_11TreeBuilder_build(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_sample_weight, PyArrayObject *__pyx_v_X_idx_sorted); /* proto */
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|
static int __pyx_pf_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder___cinit__(struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *__pyx_v_splitter, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_min_samples_split, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_min_samples_leaf, double __pyx_v_min_weight_leaf, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_max_depth); /* proto */
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|
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_2build(struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_sample_weight, PyArrayObject *__pyx_v_X_idx_sorted); /* proto */
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|
static int __pyx_pf_7sklearn_4tree_5_tree_20BestFirstTreeBuilder___cinit__(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *__pyx_v_splitter, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_min_samples_split, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_min_samples_leaf, PyObject *__pyx_v_min_weight_leaf, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_max_depth, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_max_leaf_nodes); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_2build(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_sample_weight, PyArrayObject *__pyx_v_X_idx_sorted); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_classes___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_13children_left___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_14children_right___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_7feature___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9threshold___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_8impurity___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_14n_node_samples___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_23weighted_n_node_samples___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_5value___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static int __pyx_pf_7sklearn_4tree_5_tree_4Tree___cinit__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, int __pyx_v_n_features, PyArrayObject *__pyx_v_n_classes, int __pyx_v_n_outputs); /* proto */
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static void __pyx_pf_7sklearn_4tree_5_tree_4Tree_2__dealloc__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_4__reduce__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_6__getstate__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_8__setstate__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_d); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10predict(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_12apply(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_14decision_path(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_16compute_feature_importances(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_normalize); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10n_features___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_10n_features_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_outputs___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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|
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_outputs_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_13max_n_classes___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_13max_n_classes_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9max_depth___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_9max_depth_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10node_count___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_10node_count_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_8capacity___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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|
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_8capacity_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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|
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
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|
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
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|
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_Tree(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
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|
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_TreeBuilder(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
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|
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_DepthFirstTreeBuilder(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
|
|
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_BestFirstTreeBuilder(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
|
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static char __pyx_k_B[] = "B";
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static char __pyx_k_C[] = "C";
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static char __pyx_k_H[] = "H";
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static char __pyx_k_I[] = "I";
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static char __pyx_k_L[] = "L";
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static char __pyx_k_O[] = "O";
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static char __pyx_k_Q[] = "Q";
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static char __pyx_k_X[] = "X";
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static char __pyx_k_b[] = "b";
|
|
static char __pyx_k_d[] = "d";
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static char __pyx_k_f[] = "f";
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static char __pyx_k_g[] = "g";
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static char __pyx_k_h[] = "h";
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static char __pyx_k_i[] = "i";
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|
static char __pyx_k_l[] = "l";
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static char __pyx_k_q[] = "q";
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static char __pyx_k_y[] = "y";
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static char __pyx_k_Zd[] = "Zd";
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static char __pyx_k_Zf[] = "Zf";
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static char __pyx_k_Zg[] = "Zg";
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static char __pyx_k_np[] = "np";
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static char __pyx_k_inf[] = "inf";
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|
static char __pyx_k_max[] = "max";
|
|
static char __pyx_k_sum[] = "sum";
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static char __pyx_k_axis[] = "axis";
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|
static char __pyx_k_clip[] = "clip";
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static char __pyx_k_copy[] = "copy";
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|
static char __pyx_k_data[] = "data";
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static char __pyx_k_intp[] = "intp";
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static char __pyx_k_main[] = "__main__";
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static char __pyx_k_mode[] = "mode";
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static char __pyx_k_ndim[] = "ndim";
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static char __pyx_k_ones[] = "ones";
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static char __pyx_k_take[] = "take";
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static char __pyx_k_test[] = "__test__";
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static char __pyx_k_tree[] = "tree";
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static char __pyx_k_DTYPE[] = "DTYPE";
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static char __pyx_k_apply[] = "apply";
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static char __pyx_k_build[] = "build";
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static char __pyx_k_dtype[] = "dtype";
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static char __pyx_k_flags[] = "flags";
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static char __pyx_k_int32[] = "int32";
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static char __pyx_k_names[] = "names";
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static char __pyx_k_nodes[] = "nodes";
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static char __pyx_k_numpy[] = "numpy";
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static char __pyx_k_order[] = "order";
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static char __pyx_k_range[] = "range";
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static char __pyx_k_shape[] = "shape";
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static char __pyx_k_tocsc[] = "tocsc";
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static char __pyx_k_zeros[] = "zeros";
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static char __pyx_k_DOUBLE[] = "DOUBLE";
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static char __pyx_k_import[] = "__import__";
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static char __pyx_k_indptr[] = "indptr";
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static char __pyx_k_values[] = "values";
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static char __pyx_k_asarray[] = "asarray";
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static char __pyx_k_feature[] = "feature";
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static char __pyx_k_float32[] = "float32";
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static char __pyx_k_float64[] = "float64";
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static char __pyx_k_formats[] = "formats";
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static char __pyx_k_indices[] = "indices";
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static char __pyx_k_offsets[] = "offsets";
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static char __pyx_k_predict[] = "predict";
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static char __pyx_k_reshape[] = "reshape";
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static char __pyx_k_strides[] = "strides";
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static char __pyx_k_getstate[] = "__getstate__";
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static char __pyx_k_impurity[] = "impurity";
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static char __pyx_k_issparse[] = "issparse";
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|
static char __pyx_k_itemsize[] = "itemsize";
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|
static char __pyx_k_splitter[] = "splitter";
|
|
static char __pyx_k_TREE_LEAF[] = "TREE_LEAF";
|
|
static char __pyx_k_max_depth[] = "max_depth";
|
|
static char __pyx_k_n_classes[] = "n_classes";
|
|
static char __pyx_k_n_outputs[] = "n_outputs";
|
|
static char __pyx_k_normalize[] = "normalize";
|
|
static char __pyx_k_threshold[] = "threshold";
|
|
static char __pyx_k_NODE_DTYPE[] = "NODE_DTYPE";
|
|
static char __pyx_k_ValueError[] = "ValueError";
|
|
static char __pyx_k_contiguous[] = "contiguous";
|
|
static char __pyx_k_csc_matrix[] = "csc_matrix";
|
|
static char __pyx_k_csr_matrix[] = "csr_matrix";
|
|
static char __pyx_k_left_child[] = "left_child";
|
|
static char __pyx_k_n_features[] = "n_features";
|
|
static char __pyx_k_node_count[] = "node_count";
|
|
static char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
|
|
static char __pyx_k_MemoryError[] = "MemoryError";
|
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static char __pyx_k_right_child[] = "right_child";
|
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static char __pyx_k_RuntimeError[] = "RuntimeError";
|
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static char __pyx_k_X_idx_sorted[] = "X_idx_sorted";
|
|
static char __pyx_k_c_contiguous[] = "c_contiguous";
|
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static char __pyx_k_scipy_sparse[] = "scipy.sparse";
|
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static char __pyx_k_sort_indices[] = "sort_indices";
|
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static char __pyx_k_decision_path[] = "decision_path";
|
|
static char __pyx_k_sample_weight[] = "sample_weight";
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static char __pyx_k_TREE_UNDEFINED[] = "TREE_UNDEFINED";
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static char __pyx_k_asfortranarray[] = "asfortranarray";
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static char __pyx_k_max_leaf_nodes[] = "max_leaf_nodes";
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static char __pyx_k_n_node_samples[] = "n_node_samples";
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static char __pyx_k_min_weight_leaf[] = "min_weight_leaf";
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static char __pyx_k_min_samples_leaf[] = "min_samples_leaf";
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static char __pyx_k_ascontiguousarray[] = "ascontiguousarray";
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static char __pyx_k_min_samples_split[] = "min_samples_split";
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static char __pyx_k_resizing_tree_to_d[] = "resizing tree to %d";
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static char __pyx_k_weighted_n_node_samples[] = "weighted_n_node_samples";
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static char __pyx_k_compute_feature_importances[] = "compute_feature_importances";
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static char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
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static char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
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static char __pyx_k_Did_not_recognise_loaded_array_l[] = "Did not recognise loaded array layout";
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static char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
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static char __pyx_k_No_support_for_np_int64_index_ba[] = "No support for np.int64 index based sparse matrices";
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static char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
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static char __pyx_k_X_dtype_should_be_np_float32_got[] = "X.dtype should be np.float32, got %s";
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static char __pyx_k_X_should_be_in_csr_matrix_format[] = "X should be in csr_matrix format, got %s";
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static char __pyx_k_X_should_be_in_np_ndarray_format[] = "X should be in np.ndarray format, got %s";
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static char __pyx_k_You_have_loaded_Tree_version_whi[] = "You have loaded Tree version which cannot be imported";
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static char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
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static char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
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static PyObject *__pyx_n_s_C;
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static PyObject *__pyx_n_s_DOUBLE;
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static PyObject *__pyx_n_s_DTYPE;
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static PyObject *__pyx_kp_s_Did_not_recognise_loaded_array_l;
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static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
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static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
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static PyObject *__pyx_n_s_MemoryError;
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static PyObject *__pyx_n_s_NODE_DTYPE;
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static PyObject *__pyx_kp_s_No_support_for_np_int64_index_ba;
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static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
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static PyObject *__pyx_n_s_RuntimeError;
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static PyObject *__pyx_n_s_ValueError;
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static PyObject *__pyx_n_s_X;
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static PyObject *__pyx_kp_s_X_dtype_should_be_np_float32_got;
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static PyObject *__pyx_n_s_X_idx_sorted;
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static PyObject *__pyx_kp_s_X_should_be_in_np_ndarray_format;
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static PyObject *__pyx_kp_s_You_have_loaded_Tree_version_whi;
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static PyObject *__pyx_n_s_apply;
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static PyObject *__pyx_n_s_asarray;
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static PyObject *__pyx_n_s_ascontiguousarray;
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static PyObject *__pyx_n_s_asfortranarray;
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static PyObject *__pyx_n_s_axis;
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static PyObject *__pyx_n_s_build;
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static PyObject *__pyx_n_s_c_contiguous;
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static PyObject *__pyx_n_s_clip;
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static PyObject *__pyx_n_s_compute_feature_importances;
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static PyObject *__pyx_n_s_contiguous;
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static PyObject *__pyx_n_s_copy;
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static PyObject *__pyx_n_s_csc_matrix;
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static PyObject *__pyx_n_s_csr_matrix;
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static PyObject *__pyx_n_s_data;
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static PyObject *__pyx_n_s_decision_path;
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static PyObject *__pyx_n_s_dtype;
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static PyObject *__pyx_n_s_feature;
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static PyObject *__pyx_n_s_flags;
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static PyObject *__pyx_n_s_float32;
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static PyObject *__pyx_n_s_float64;
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static PyObject *__pyx_n_s_formats;
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static PyObject *__pyx_n_s_getstate;
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static PyObject *__pyx_n_s_import;
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static PyObject *__pyx_n_s_impurity;
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static PyObject *__pyx_n_s_indices;
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static PyObject *__pyx_n_s_indptr;
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static PyObject *__pyx_n_s_inf;
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static PyObject *__pyx_n_s_int32;
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static PyObject *__pyx_n_s_intp;
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static PyObject *__pyx_n_s_issparse;
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static PyObject *__pyx_n_s_itemsize;
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static PyObject *__pyx_n_s_left_child;
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static PyObject *__pyx_n_s_main;
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static PyObject *__pyx_n_s_max;
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static PyObject *__pyx_n_s_max_depth;
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|
static PyObject *__pyx_n_s_max_leaf_nodes;
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|
static PyObject *__pyx_n_s_min_samples_leaf;
|
|
static PyObject *__pyx_n_s_min_samples_split;
|
|
static PyObject *__pyx_n_s_min_weight_leaf;
|
|
static PyObject *__pyx_n_s_mode;
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static PyObject *__pyx_n_s_n_classes;
|
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static PyObject *__pyx_n_s_n_features;
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static PyObject *__pyx_n_s_n_node_samples;
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|
static PyObject *__pyx_n_s_n_outputs;
|
|
static PyObject *__pyx_n_s_names;
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static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous;
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static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou;
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static PyObject *__pyx_n_s_ndim;
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static PyObject *__pyx_n_s_node_count;
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static PyObject *__pyx_n_s_nodes;
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static PyObject *__pyx_n_s_normalize;
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|
static PyObject *__pyx_n_s_np;
|
|
static PyObject *__pyx_n_s_numpy;
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|
static PyObject *__pyx_n_s_offsets;
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static PyObject *__pyx_n_s_ones;
|
|
static PyObject *__pyx_n_s_order;
|
|
static PyObject *__pyx_n_s_predict;
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|
static PyObject *__pyx_n_s_pyx_vtable;
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|
static PyObject *__pyx_n_s_range;
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|
static PyObject *__pyx_n_s_reshape;
|
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static PyObject *__pyx_kp_s_resizing_tree_to_d;
|
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static PyObject *__pyx_n_s_right_child;
|
|
static PyObject *__pyx_n_s_sample_weight;
|
|
static PyObject *__pyx_n_s_scipy_sparse;
|
|
static PyObject *__pyx_n_s_shape;
|
|
static PyObject *__pyx_n_s_sort_indices;
|
|
static PyObject *__pyx_n_s_splitter;
|
|
static PyObject *__pyx_n_s_strides;
|
|
static PyObject *__pyx_n_s_sum;
|
|
static PyObject *__pyx_n_s_take;
|
|
static PyObject *__pyx_n_s_test;
|
|
static PyObject *__pyx_n_s_threshold;
|
|
static PyObject *__pyx_n_s_tocsc;
|
|
static PyObject *__pyx_n_s_tree;
|
|
static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
|
|
static PyObject *__pyx_n_s_values;
|
|
static PyObject *__pyx_n_s_weighted_n_node_samples;
|
|
static PyObject *__pyx_n_s_y;
|
|
static PyObject *__pyx_n_s_zeros;
|
|
static PyObject *__pyx_int_0;
|
|
static PyObject *__pyx_int_1;
|
|
static PyObject *__pyx_int_neg_1;
|
|
static PyObject *__pyx_int_neg_2;
|
|
static __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_k__4;
|
|
static PyObject *__pyx_tuple_;
|
|
static PyObject *__pyx_tuple__2;
|
|
static PyObject *__pyx_tuple__3;
|
|
static PyObject *__pyx_tuple__5;
|
|
static PyObject *__pyx_tuple__6;
|
|
static PyObject *__pyx_tuple__7;
|
|
static PyObject *__pyx_tuple__8;
|
|
static PyObject *__pyx_tuple__9;
|
|
static PyObject *__pyx_tuple__10;
|
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|
|
/* "sklearn/tree/_tree.pyx":92
|
|
* """Interface for different tree building strategies."""
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None):
|
|
*/
|
|
|
|
static PyObject *__pyx_pw_7sklearn_4tree_5_tree_11TreeBuilder_1build(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
|
|
static PyObject *__pyx_f_7sklearn_4tree_5_tree_11TreeBuilder_build(CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *__pyx_v_self, CYTHON_UNUSED struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, CYTHON_UNUSED PyObject *__pyx_v_X, CYTHON_UNUSED PyArrayObject *__pyx_v_y, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build *__pyx_optional_args) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":93
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y,
|
|
* np.ndarray sample_weight=None, # <<<<<<<<<<<<<<
|
|
* np.ndarray X_idx_sorted=None):
|
|
* """Build a decision tree from the training set (X, y)."""
|
|
*/
|
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PyArrayObject *__pyx_v_sample_weight = ((PyArrayObject *)Py_None);
|
|
|
|
/* "sklearn/tree/_tree.pyx":94
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y,
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None): # <<<<<<<<<<<<<<
|
|
* """Build a decision tree from the training set (X, y)."""
|
|
* pass
|
|
*/
|
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PyArrayObject *__pyx_v_X_idx_sorted = ((PyArrayObject *)Py_None);
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PyObject *__pyx_r = NULL;
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__Pyx_RefNannyDeclarations
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PyObject *__pyx_t_4 = NULL;
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Py_ssize_t __pyx_t_5;
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PyObject *__pyx_t_6 = NULL;
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const char *__pyx_filename = NULL;
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int __pyx_clineno = 0;
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__Pyx_RefNannySetupContext("build", 0);
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|
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if (__pyx_optional_args->__pyx_n > 1) {
|
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/* "sklearn/tree/_tree.pyx":92
|
|
* """Interface for different tree building strategies."""
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
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* np.ndarray X_idx_sorted=None):
|
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*/
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__pyx_t_6 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
#endif
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
} else {
|
|
Py_ssize_t index = -1;
|
|
__pyx_t_4 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
__pyx_t_7 = Py_TYPE(__pyx_t_4)->tp_iternext;
|
|
index = 0; __pyx_t_2 = __pyx_t_7(__pyx_t_4); if (unlikely(!__pyx_t_2)) goto __pyx_L3_unpacking_failed;
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
index = 1; __pyx_t_3 = __pyx_t_7(__pyx_t_4); if (unlikely(!__pyx_t_3)) goto __pyx_L3_unpacking_failed;
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
index = 2; __pyx_t_6 = __pyx_t_7(__pyx_t_4); if (unlikely(!__pyx_t_6)) goto __pyx_L3_unpacking_failed;
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_4), 3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_t_7 = NULL;
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
goto __pyx_L4_unpacking_done;
|
|
__pyx_L3_unpacking_failed:;
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__pyx_t_7 = NULL;
|
|
if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
|
|
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_L4_unpacking_done:;
|
|
}
|
|
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF_SET(__pyx_v_X, __pyx_t_2);
|
|
__pyx_t_2 = 0;
|
|
__Pyx_DECREF_SET(__pyx_v_y, ((PyArrayObject *)__pyx_t_3));
|
|
__pyx_t_3 = 0;
|
|
__Pyx_DECREF_SET(__pyx_v_sample_weight, ((PyArrayObject *)__pyx_t_6));
|
|
__pyx_t_6 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":149
|
|
* X, y, sample_weight = self._check_input(X, y, sample_weight)
|
|
*
|
|
* cdef DOUBLE_t* sample_weight_ptr = NULL # <<<<<<<<<<<<<<
|
|
* if sample_weight is not None:
|
|
* sample_weight_ptr = <DOUBLE_t*> sample_weight.data
|
|
*/
|
|
__pyx_v_sample_weight_ptr = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":150
|
|
*
|
|
* cdef DOUBLE_t* sample_weight_ptr = NULL
|
|
* if sample_weight is not None: # <<<<<<<<<<<<<<
|
|
* sample_weight_ptr = <DOUBLE_t*> sample_weight.data
|
|
*
|
|
*/
|
|
__pyx_t_8 = (((PyObject *)__pyx_v_sample_weight) != Py_None);
|
|
__pyx_t_9 = (__pyx_t_8 != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":151
|
|
* cdef DOUBLE_t* sample_weight_ptr = NULL
|
|
* if sample_weight is not None:
|
|
* sample_weight_ptr = <DOUBLE_t*> sample_weight.data # <<<<<<<<<<<<<<
|
|
*
|
|
* # Initial capacity
|
|
*/
|
|
__pyx_v_sample_weight_ptr = ((__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *)__pyx_v_sample_weight->data);
|
|
goto __pyx_L5;
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":156
|
|
* cdef int init_capacity
|
|
*
|
|
* if tree.max_depth <= 10: # <<<<<<<<<<<<<<
|
|
* init_capacity = (2 ** (tree.max_depth + 1)) - 1
|
|
* else:
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_tree->max_depth <= 10) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":157
|
|
*
|
|
* if tree.max_depth <= 10:
|
|
* init_capacity = (2 ** (tree.max_depth + 1)) - 1 # <<<<<<<<<<<<<<
|
|
* else:
|
|
* init_capacity = 2047
|
|
*/
|
|
__pyx_v_init_capacity = (__Pyx_pow_long(2, (__pyx_v_tree->max_depth + 1)) - 1);
|
|
goto __pyx_L6;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":159
|
|
* init_capacity = (2 ** (tree.max_depth + 1)) - 1
|
|
* else:
|
|
* init_capacity = 2047 # <<<<<<<<<<<<<<
|
|
*
|
|
* tree._resize(init_capacity)
|
|
*/
|
|
__pyx_v_init_capacity = 2047;
|
|
}
|
|
__pyx_L6:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":161
|
|
* init_capacity = 2047
|
|
*
|
|
* tree._resize(init_capacity) # <<<<<<<<<<<<<<
|
|
*
|
|
* # Parameters
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_tree->__pyx_vtab)->_resize(__pyx_v_tree, __pyx_v_init_capacity); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":164
|
|
*
|
|
* # Parameters
|
|
* cdef Splitter splitter = self.splitter # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t max_depth = self.max_depth
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
*/
|
|
__pyx_t_1 = ((PyObject *)__pyx_v_self->__pyx_base.splitter);
|
|
__Pyx_INCREF(__pyx_t_1);
|
|
__pyx_v_splitter = ((struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *)__pyx_t_1);
|
|
__pyx_t_1 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":165
|
|
* # Parameters
|
|
* cdef Splitter splitter = self.splitter
|
|
* cdef SIZE_t max_depth = self.max_depth # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
* cdef double min_weight_leaf = self.min_weight_leaf
|
|
*/
|
|
__pyx_t_10 = __pyx_v_self->__pyx_base.max_depth;
|
|
__pyx_v_max_depth = __pyx_t_10;
|
|
|
|
/* "sklearn/tree/_tree.pyx":166
|
|
* cdef Splitter splitter = self.splitter
|
|
* cdef SIZE_t max_depth = self.max_depth
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf # <<<<<<<<<<<<<<
|
|
* cdef double min_weight_leaf = self.min_weight_leaf
|
|
* cdef SIZE_t min_samples_split = self.min_samples_split
|
|
*/
|
|
__pyx_t_10 = __pyx_v_self->__pyx_base.min_samples_leaf;
|
|
__pyx_v_min_samples_leaf = __pyx_t_10;
|
|
|
|
/* "sklearn/tree/_tree.pyx":167
|
|
* cdef SIZE_t max_depth = self.max_depth
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
* cdef double min_weight_leaf = self.min_weight_leaf # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t min_samples_split = self.min_samples_split
|
|
*
|
|
*/
|
|
__pyx_t_11 = __pyx_v_self->__pyx_base.min_weight_leaf;
|
|
__pyx_v_min_weight_leaf = __pyx_t_11;
|
|
|
|
/* "sklearn/tree/_tree.pyx":168
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
* cdef double min_weight_leaf = self.min_weight_leaf
|
|
* cdef SIZE_t min_samples_split = self.min_samples_split # <<<<<<<<<<<<<<
|
|
*
|
|
* # Recursive partition (without actual recursion)
|
|
*/
|
|
__pyx_t_10 = __pyx_v_self->__pyx_base.min_samples_split;
|
|
__pyx_v_min_samples_split = __pyx_t_10;
|
|
|
|
/* "sklearn/tree/_tree.pyx":171
|
|
*
|
|
* # Recursive partition (without actual recursion)
|
|
* splitter.init(X, y, sample_weight_ptr, X_idx_sorted) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef SIZE_t start
|
|
*/
|
|
__pyx_t_12.__pyx_n = 1;
|
|
__pyx_t_12.X_idx_sorted = __pyx_v_X_idx_sorted;
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->init(__pyx_v_splitter, __pyx_v_X, __pyx_v_y, __pyx_v_sample_weight_ptr, &__pyx_t_12); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 171; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":178
|
|
* cdef SIZE_t parent
|
|
* cdef bint is_left
|
|
* cdef SIZE_t n_node_samples = splitter.n_samples # <<<<<<<<<<<<<<
|
|
* cdef double weighted_n_samples = splitter.weighted_n_samples
|
|
* cdef double weighted_n_node_samples
|
|
*/
|
|
__pyx_t_13 = __pyx_v_splitter->n_samples;
|
|
__pyx_v_n_node_samples = __pyx_t_13;
|
|
|
|
/* "sklearn/tree/_tree.pyx":179
|
|
* cdef bint is_left
|
|
* cdef SIZE_t n_node_samples = splitter.n_samples
|
|
* cdef double weighted_n_samples = splitter.weighted_n_samples # <<<<<<<<<<<<<<
|
|
* cdef double weighted_n_node_samples
|
|
* cdef SplitRecord split
|
|
*/
|
|
__pyx_t_11 = __pyx_v_splitter->weighted_n_samples;
|
|
__pyx_v_weighted_n_samples = __pyx_t_11;
|
|
|
|
/* "sklearn/tree/_tree.pyx":185
|
|
*
|
|
* cdef double threshold
|
|
* cdef double impurity = INFINITY # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t n_constant_features
|
|
* cdef bint is_leaf
|
|
*/
|
|
__pyx_v_impurity = __pyx_v_7sklearn_4tree_5_tree_INFINITY;
|
|
|
|
/* "sklearn/tree/_tree.pyx":188
|
|
* cdef SIZE_t n_constant_features
|
|
* cdef bint is_leaf
|
|
* cdef bint first = 1 # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t max_depth_seen = -1
|
|
* cdef int rc = 0
|
|
*/
|
|
__pyx_v_first = 1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":189
|
|
* cdef bint is_leaf
|
|
* cdef bint first = 1
|
|
* cdef SIZE_t max_depth_seen = -1 # <<<<<<<<<<<<<<
|
|
* cdef int rc = 0
|
|
*
|
|
*/
|
|
__pyx_v_max_depth_seen = -1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":190
|
|
* cdef bint first = 1
|
|
* cdef SIZE_t max_depth_seen = -1
|
|
* cdef int rc = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef Stack stack = Stack(INITIAL_STACK_SIZE)
|
|
*/
|
|
__pyx_v_rc = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":192
|
|
* cdef int rc = 0
|
|
*
|
|
* cdef Stack stack = Stack(INITIAL_STACK_SIZE) # <<<<<<<<<<<<<<
|
|
* cdef StackRecord stack_record
|
|
*
|
|
*/
|
|
__pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t(__pyx_v_7sklearn_4tree_5_tree_INITIAL_STACK_SIZE); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__Pyx_GIVEREF(__pyx_t_1);
|
|
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
|
|
__pyx_t_1 = 0;
|
|
__pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)((PyObject*)__pyx_ptype_7sklearn_4tree_6_utils_Stack)), __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
|
|
__pyx_v_stack = ((struct __pyx_obj_7sklearn_4tree_6_utils_Stack *)__pyx_t_1);
|
|
__pyx_t_1 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":196
|
|
*
|
|
* # push root node onto stack
|
|
* rc = stack.push(0, n_node_samples, 0, _TREE_UNDEFINED, 0, INFINITY, 0) # <<<<<<<<<<<<<<
|
|
* if rc == -1:
|
|
* # got return code -1 - out-of-memory
|
|
*/
|
|
__pyx_v_rc = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *)__pyx_v_stack->__pyx_vtab)->push(__pyx_v_stack, 0, __pyx_v_n_node_samples, 0, __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED, 0, __pyx_v_7sklearn_4tree_5_tree_INFINITY, 0);
|
|
|
|
/* "sklearn/tree/_tree.pyx":197
|
|
* # push root node onto stack
|
|
* rc = stack.push(0, n_node_samples, 0, _TREE_UNDEFINED, 0, INFINITY, 0)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* # got return code -1 - out-of-memory
|
|
* raise MemoryError()
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":199
|
|
* if rc == -1:
|
|
* # got return code -1 - out-of-memory
|
|
* raise MemoryError() # <<<<<<<<<<<<<<
|
|
*
|
|
* with nogil:
|
|
*/
|
|
PyErr_NoMemory(); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":201
|
|
* raise MemoryError()
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* while not stack.is_empty():
|
|
* stack.pop(&stack_record)
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":202
|
|
*
|
|
* with nogil:
|
|
* while not stack.is_empty(): # <<<<<<<<<<<<<<
|
|
* stack.pop(&stack_record)
|
|
*
|
|
*/
|
|
while (1) {
|
|
__pyx_t_9 = ((!(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *)__pyx_v_stack->__pyx_vtab)->is_empty(__pyx_v_stack) != 0)) != 0);
|
|
if (!__pyx_t_9) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":203
|
|
* with nogil:
|
|
* while not stack.is_empty():
|
|
* stack.pop(&stack_record) # <<<<<<<<<<<<<<
|
|
*
|
|
* start = stack_record.start
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *)__pyx_v_stack->__pyx_vtab)->pop(__pyx_v_stack, (&__pyx_v_stack_record));
|
|
|
|
/* "sklearn/tree/_tree.pyx":205
|
|
* stack.pop(&stack_record)
|
|
*
|
|
* start = stack_record.start # <<<<<<<<<<<<<<
|
|
* end = stack_record.end
|
|
* depth = stack_record.depth
|
|
*/
|
|
__pyx_t_14 = __pyx_v_stack_record.start;
|
|
__pyx_v_start = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":206
|
|
*
|
|
* start = stack_record.start
|
|
* end = stack_record.end # <<<<<<<<<<<<<<
|
|
* depth = stack_record.depth
|
|
* parent = stack_record.parent
|
|
*/
|
|
__pyx_t_14 = __pyx_v_stack_record.end;
|
|
__pyx_v_end = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":207
|
|
* start = stack_record.start
|
|
* end = stack_record.end
|
|
* depth = stack_record.depth # <<<<<<<<<<<<<<
|
|
* parent = stack_record.parent
|
|
* is_left = stack_record.is_left
|
|
*/
|
|
__pyx_t_14 = __pyx_v_stack_record.depth;
|
|
__pyx_v_depth = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":208
|
|
* end = stack_record.end
|
|
* depth = stack_record.depth
|
|
* parent = stack_record.parent # <<<<<<<<<<<<<<
|
|
* is_left = stack_record.is_left
|
|
* impurity = stack_record.impurity
|
|
*/
|
|
__pyx_t_14 = __pyx_v_stack_record.parent;
|
|
__pyx_v_parent = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":209
|
|
* depth = stack_record.depth
|
|
* parent = stack_record.parent
|
|
* is_left = stack_record.is_left # <<<<<<<<<<<<<<
|
|
* impurity = stack_record.impurity
|
|
* n_constant_features = stack_record.n_constant_features
|
|
*/
|
|
__pyx_t_9 = __pyx_v_stack_record.is_left;
|
|
__pyx_v_is_left = __pyx_t_9;
|
|
|
|
/* "sklearn/tree/_tree.pyx":210
|
|
* parent = stack_record.parent
|
|
* is_left = stack_record.is_left
|
|
* impurity = stack_record.impurity # <<<<<<<<<<<<<<
|
|
* n_constant_features = stack_record.n_constant_features
|
|
*
|
|
*/
|
|
__pyx_t_11 = __pyx_v_stack_record.impurity;
|
|
__pyx_v_impurity = __pyx_t_11;
|
|
|
|
/* "sklearn/tree/_tree.pyx":211
|
|
* is_left = stack_record.is_left
|
|
* impurity = stack_record.impurity
|
|
* n_constant_features = stack_record.n_constant_features # <<<<<<<<<<<<<<
|
|
*
|
|
* n_node_samples = end - start
|
|
*/
|
|
__pyx_t_14 = __pyx_v_stack_record.n_constant_features;
|
|
__pyx_v_n_constant_features = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":213
|
|
* n_constant_features = stack_record.n_constant_features
|
|
*
|
|
* n_node_samples = end - start # <<<<<<<<<<<<<<
|
|
* splitter.node_reset(start, end, &weighted_n_node_samples)
|
|
*
|
|
*/
|
|
__pyx_v_n_node_samples = (__pyx_v_end - __pyx_v_start);
|
|
|
|
/* "sklearn/tree/_tree.pyx":214
|
|
*
|
|
* n_node_samples = end - start
|
|
* splitter.node_reset(start, end, &weighted_n_node_samples) # <<<<<<<<<<<<<<
|
|
*
|
|
* is_leaf = ((depth >= max_depth) or
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_reset(__pyx_v_splitter, __pyx_v_start, __pyx_v_end, (&__pyx_v_weighted_n_node_samples));
|
|
|
|
/* "sklearn/tree/_tree.pyx":216
|
|
* splitter.node_reset(start, end, &weighted_n_node_samples)
|
|
*
|
|
* is_leaf = ((depth >= max_depth) or # <<<<<<<<<<<<<<
|
|
* (n_node_samples < min_samples_split) or
|
|
* (n_node_samples < 2 * min_samples_leaf) or
|
|
*/
|
|
__pyx_t_8 = ((__pyx_v_depth >= __pyx_v_max_depth) != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L13_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":217
|
|
*
|
|
* is_leaf = ((depth >= max_depth) or
|
|
* (n_node_samples < min_samples_split) or # <<<<<<<<<<<<<<
|
|
* (n_node_samples < 2 * min_samples_leaf) or
|
|
* (weighted_n_node_samples < min_weight_leaf))
|
|
*/
|
|
__pyx_t_8 = ((__pyx_v_n_node_samples < __pyx_v_min_samples_split) != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L13_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":218
|
|
* is_leaf = ((depth >= max_depth) or
|
|
* (n_node_samples < min_samples_split) or
|
|
* (n_node_samples < 2 * min_samples_leaf) or # <<<<<<<<<<<<<<
|
|
* (weighted_n_node_samples < min_weight_leaf))
|
|
*
|
|
*/
|
|
__pyx_t_8 = ((__pyx_v_n_node_samples < (2 * __pyx_v_min_samples_leaf)) != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L13_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":219
|
|
* (n_node_samples < min_samples_split) or
|
|
* (n_node_samples < 2 * min_samples_leaf) or
|
|
* (weighted_n_node_samples < min_weight_leaf)) # <<<<<<<<<<<<<<
|
|
*
|
|
* if first:
|
|
*/
|
|
__pyx_t_8 = ((__pyx_v_weighted_n_node_samples < __pyx_v_min_weight_leaf) != 0);
|
|
__pyx_t_9 = __pyx_t_8;
|
|
__pyx_L13_bool_binop_done:;
|
|
__pyx_v_is_leaf = __pyx_t_9;
|
|
|
|
/* "sklearn/tree/_tree.pyx":221
|
|
* (weighted_n_node_samples < min_weight_leaf))
|
|
*
|
|
* if first: # <<<<<<<<<<<<<<
|
|
* impurity = splitter.node_impurity()
|
|
* first = 0
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_first != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":222
|
|
*
|
|
* if first:
|
|
* impurity = splitter.node_impurity() # <<<<<<<<<<<<<<
|
|
* first = 0
|
|
*
|
|
*/
|
|
__pyx_v_impurity = ((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_impurity(__pyx_v_splitter);
|
|
|
|
/* "sklearn/tree/_tree.pyx":223
|
|
* if first:
|
|
* impurity = splitter.node_impurity()
|
|
* first = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* is_leaf = is_leaf or (impurity <= MIN_IMPURITY_SPLIT)
|
|
*/
|
|
__pyx_v_first = 0;
|
|
goto __pyx_L17;
|
|
}
|
|
__pyx_L17:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":225
|
|
* first = 0
|
|
*
|
|
* is_leaf = is_leaf or (impurity <= MIN_IMPURITY_SPLIT) # <<<<<<<<<<<<<<
|
|
*
|
|
* if not is_leaf:
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_is_leaf != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L18_bool_binop_done;
|
|
}
|
|
__pyx_t_8 = ((__pyx_v_impurity <= __pyx_v_7sklearn_4tree_5_tree_MIN_IMPURITY_SPLIT) != 0);
|
|
__pyx_t_9 = __pyx_t_8;
|
|
__pyx_L18_bool_binop_done:;
|
|
__pyx_v_is_leaf = __pyx_t_9;
|
|
|
|
/* "sklearn/tree/_tree.pyx":227
|
|
* is_leaf = is_leaf or (impurity <= MIN_IMPURITY_SPLIT)
|
|
*
|
|
* if not is_leaf: # <<<<<<<<<<<<<<
|
|
* splitter.node_split(impurity, &split, &n_constant_features)
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*/
|
|
__pyx_t_9 = ((!(__pyx_v_is_leaf != 0)) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":228
|
|
*
|
|
* if not is_leaf:
|
|
* splitter.node_split(impurity, &split, &n_constant_features) # <<<<<<<<<<<<<<
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_split(__pyx_v_splitter, __pyx_v_impurity, (&__pyx_v_split), (&__pyx_v_n_constant_features));
|
|
|
|
/* "sklearn/tree/_tree.pyx":229
|
|
* if not is_leaf:
|
|
* splitter.node_split(impurity, &split, &n_constant_features)
|
|
* is_leaf = is_leaf or (split.pos >= end) # <<<<<<<<<<<<<<
|
|
*
|
|
* node_id = tree._add_node(parent, is_left, is_leaf, split.feature,
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_is_leaf != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L21_bool_binop_done;
|
|
}
|
|
__pyx_t_8 = ((__pyx_v_split.pos >= __pyx_v_end) != 0);
|
|
__pyx_t_9 = __pyx_t_8;
|
|
__pyx_L21_bool_binop_done:;
|
|
__pyx_v_is_leaf = __pyx_t_9;
|
|
goto __pyx_L20;
|
|
}
|
|
__pyx_L20:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":231
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*
|
|
* node_id = tree._add_node(parent, is_left, is_leaf, split.feature, # <<<<<<<<<<<<<<
|
|
* split.threshold, impurity, n_node_samples,
|
|
* weighted_n_node_samples)
|
|
*/
|
|
__pyx_v_node_id = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_tree->__pyx_vtab)->_add_node(__pyx_v_tree, __pyx_v_parent, __pyx_v_is_left, __pyx_v_is_leaf, __pyx_v_split.feature, __pyx_v_split.threshold, __pyx_v_impurity, __pyx_v_n_node_samples, __pyx_v_weighted_n_node_samples);
|
|
|
|
/* "sklearn/tree/_tree.pyx":235
|
|
* weighted_n_node_samples)
|
|
*
|
|
* if node_id == <SIZE_t>(-1): # <<<<<<<<<<<<<<
|
|
* rc = -1
|
|
* break
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_node_id == ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)-1)) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":236
|
|
*
|
|
* if node_id == <SIZE_t>(-1):
|
|
* rc = -1 # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_v_rc = -1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":237
|
|
* if node_id == <SIZE_t>(-1):
|
|
* rc = -1
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* # Store value for all nodes, to facilitate tree/model
|
|
*/
|
|
goto __pyx_L12_break;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":241
|
|
* # Store value for all nodes, to facilitate tree/model
|
|
* # inspection and interpretation
|
|
* splitter.node_value(tree.value + node_id * tree.value_stride) # <<<<<<<<<<<<<<
|
|
*
|
|
* if not is_leaf:
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_value(__pyx_v_splitter, (__pyx_v_tree->value + (__pyx_v_node_id * __pyx_v_tree->value_stride)));
|
|
|
|
/* "sklearn/tree/_tree.pyx":243
|
|
* splitter.node_value(tree.value + node_id * tree.value_stride)
|
|
*
|
|
* if not is_leaf: # <<<<<<<<<<<<<<
|
|
* # Push right child on stack
|
|
* rc = stack.push(split.pos, end, depth + 1, node_id, 0,
|
|
*/
|
|
__pyx_t_9 = ((!(__pyx_v_is_leaf != 0)) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":245
|
|
* if not is_leaf:
|
|
* # Push right child on stack
|
|
* rc = stack.push(split.pos, end, depth + 1, node_id, 0, # <<<<<<<<<<<<<<
|
|
* split.impurity_right, n_constant_features)
|
|
* if rc == -1:
|
|
*/
|
|
__pyx_v_rc = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *)__pyx_v_stack->__pyx_vtab)->push(__pyx_v_stack, __pyx_v_split.pos, __pyx_v_end, (__pyx_v_depth + 1), __pyx_v_node_id, 0, __pyx_v_split.impurity_right, __pyx_v_n_constant_features);
|
|
|
|
/* "sklearn/tree/_tree.pyx":247
|
|
* rc = stack.push(split.pos, end, depth + 1, node_id, 0,
|
|
* split.impurity_right, n_constant_features)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":248
|
|
* split.impurity_right, n_constant_features)
|
|
* if rc == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* # Push left child on stack
|
|
*/
|
|
goto __pyx_L12_break;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":251
|
|
*
|
|
* # Push left child on stack
|
|
* rc = stack.push(start, split.pos, depth + 1, node_id, 1, # <<<<<<<<<<<<<<
|
|
* split.impurity_left, n_constant_features)
|
|
* if rc == -1:
|
|
*/
|
|
__pyx_v_rc = ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack *)__pyx_v_stack->__pyx_vtab)->push(__pyx_v_stack, __pyx_v_start, __pyx_v_split.pos, (__pyx_v_depth + 1), __pyx_v_node_id, 1, __pyx_v_split.impurity_left, __pyx_v_n_constant_features);
|
|
|
|
/* "sklearn/tree/_tree.pyx":253
|
|
* rc = stack.push(start, split.pos, depth + 1, node_id, 1,
|
|
* split.impurity_left, n_constant_features)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":254
|
|
* split.impurity_left, n_constant_features)
|
|
* if rc == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* if depth > max_depth_seen:
|
|
*/
|
|
goto __pyx_L12_break;
|
|
}
|
|
goto __pyx_L24;
|
|
}
|
|
__pyx_L24:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":256
|
|
* break
|
|
*
|
|
* if depth > max_depth_seen: # <<<<<<<<<<<<<<
|
|
* max_depth_seen = depth
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_depth > __pyx_v_max_depth_seen) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":257
|
|
*
|
|
* if depth > max_depth_seen:
|
|
* max_depth_seen = depth # <<<<<<<<<<<<<<
|
|
*
|
|
* if rc >= 0:
|
|
*/
|
|
__pyx_v_max_depth_seen = __pyx_v_depth;
|
|
goto __pyx_L27;
|
|
}
|
|
__pyx_L27:;
|
|
}
|
|
__pyx_L12_break:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":259
|
|
* max_depth_seen = depth
|
|
*
|
|
* if rc >= 0: # <<<<<<<<<<<<<<
|
|
* rc = tree._resize_c(tree.node_count)
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc >= 0) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":260
|
|
*
|
|
* if rc >= 0:
|
|
* rc = tree._resize_c(tree.node_count) # <<<<<<<<<<<<<<
|
|
*
|
|
* if rc >= 0:
|
|
*/
|
|
__pyx_t_16.__pyx_n = 1;
|
|
__pyx_t_16.capacity = __pyx_v_tree->node_count;
|
|
__pyx_t_15 = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_tree->__pyx_vtab)->_resize_c(__pyx_v_tree, &__pyx_t_16);
|
|
__pyx_v_rc = __pyx_t_15;
|
|
goto __pyx_L28;
|
|
}
|
|
__pyx_L28:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":262
|
|
* rc = tree._resize_c(tree.node_count)
|
|
*
|
|
* if rc >= 0: # <<<<<<<<<<<<<<
|
|
* tree.max_depth = max_depth_seen
|
|
* if rc == -1:
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc >= 0) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":263
|
|
*
|
|
* if rc >= 0:
|
|
* tree.max_depth = max_depth_seen # <<<<<<<<<<<<<<
|
|
* if rc == -1:
|
|
* raise MemoryError()
|
|
*/
|
|
__pyx_v_tree->max_depth = __pyx_v_max_depth_seen;
|
|
goto __pyx_L29;
|
|
}
|
|
__pyx_L29:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":201
|
|
* raise MemoryError()
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* while not stack.is_empty():
|
|
* stack.pop(&stack_record)
|
|
*/
|
|
/*finally:*/ {
|
|
/*normal exit:*/{
|
|
#ifdef WITH_THREAD
|
|
Py_BLOCK_THREADS
|
|
#endif
|
|
goto __pyx_L10;
|
|
}
|
|
__pyx_L10:;
|
|
}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":264
|
|
* if rc >= 0:
|
|
* tree.max_depth = max_depth_seen
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* raise MemoryError()
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":265
|
|
* tree.max_depth = max_depth_seen
|
|
* if rc == -1:
|
|
* raise MemoryError() # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
PyErr_NoMemory(); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 265; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":141
|
|
* self.max_depth = max_depth
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None):
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_2);
|
|
__Pyx_XDECREF(__pyx_t_3);
|
|
__Pyx_XDECREF(__pyx_t_4);
|
|
__Pyx_XDECREF(__pyx_t_6);
|
|
__Pyx_AddTraceback("sklearn.tree._tree.DepthFirstTreeBuilder.build", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__pyx_r = 0;
|
|
__pyx_L0:;
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_splitter);
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_stack);
|
|
__Pyx_XDECREF(__pyx_v_X);
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_y);
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_sample_weight);
|
|
__Pyx_XGIVEREF(__pyx_r);
|
|
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struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree = 0;
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PyObject *__pyx_v_X = 0;
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PyArrayObject *__pyx_v_y = 0;
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PyArrayObject *__pyx_v_sample_weight = 0;
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int __pyx_lineno = 0;
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/* "sklearn/tree/_tree.pyx":142
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* cpdef build(self, Tree tree, object X, np.ndarray y,
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* np.ndarray sample_weight=None, # <<<<<<<<<<<<<<
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* np.ndarray X_idx_sorted=None):
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* """Build a decision tree from the training set (X, y)."""
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*/
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/* "sklearn/tree/_tree.pyx":143
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* cpdef build(self, Tree tree, object X, np.ndarray y,
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* np.ndarray sample_weight=None,
|
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* np.ndarray X_idx_sorted=None): # <<<<<<<<<<<<<<
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* """Build a decision tree from the training set (X, y)."""
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*
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*/
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values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
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values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
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/* "sklearn/tree/_tree.pyx":141
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*
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* cdef inline int _add_to_frontier(PriorityHeapRecord* rec, # <<<<<<<<<<<<<<
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|
* PriorityHeap frontier) nogil:
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*/
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static CYTHON_INLINE int __pyx_f_7sklearn_4tree_5_tree__add_to_frontier(struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *__pyx_v_rec, struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *__pyx_v_frontier) {
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int __pyx_r;
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/* "sklearn/tree/_tree.pyx":274
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|
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goto __pyx_L0;
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/* "sklearn/tree/_tree.pyx":270
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* # Best first builder ----------------------------------------------------------
|
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*
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* cdef inline int _add_to_frontier(PriorityHeapRecord* rec, # <<<<<<<<<<<<<<
|
|
* PriorityHeap frontier) nogil:
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|
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|
|
*
|
|
* def __cinit__(self, Splitter splitter, SIZE_t min_samples_split, # <<<<<<<<<<<<<<
|
|
* SIZE_t min_samples_leaf, min_weight_leaf,
|
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* SIZE_t max_depth, SIZE_t max_leaf_nodes):
|
|
*/
|
|
|
|
/* Python wrapper */
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static int __pyx_pw_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_1__cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
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|
struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *__pyx_v_splitter = 0;
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__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_min_samples_split;
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__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_min_samples_leaf;
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PyObject *__pyx_v_min_weight_leaf = 0;
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__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_max_depth;
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|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_max_leaf_nodes;
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int __pyx_lineno = 0;
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const char *__pyx_filename = NULL;
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int __pyx_clineno = 0;
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int __pyx_r;
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PyObject* values[6] = {0,0,0,0,0,0};
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if (unlikely(__pyx_kwds)) {
|
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Py_ssize_t kw_args;
|
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const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
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switch (pos_args) {
|
|
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
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case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
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case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
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|
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
case 0: break;
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|
default: goto __pyx_L5_argtuple_error;
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kw_args = PyDict_Size(__pyx_kwds);
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switch (pos_args) {
|
|
case 0:
|
|
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_splitter)) != 0)) kw_args--;
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else goto __pyx_L5_argtuple_error;
|
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case 1:
|
|
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_min_samples_split)) != 0)) kw_args--;
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else {
|
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__Pyx_RaiseArgtupleInvalid("__cinit__", 1, 6, 6, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
|
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case 2:
|
|
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_min_samples_leaf)) != 0)) kw_args--;
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else {
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__Pyx_RaiseArgtupleInvalid("__cinit__", 1, 6, 6, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
|
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case 3:
|
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if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_min_weight_leaf)) != 0)) kw_args--;
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else {
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__Pyx_RaiseArgtupleInvalid("__cinit__", 1, 6, 6, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
|
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case 4:
|
|
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_max_depth)) != 0)) kw_args--;
|
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else {
|
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__Pyx_RaiseArgtupleInvalid("__cinit__", 1, 6, 6, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
|
|
case 5:
|
|
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_max_leaf_nodes)) != 0)) kw_args--;
|
|
else {
|
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__Pyx_RaiseArgtupleInvalid("__cinit__", 1, 6, 6, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
}
|
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if (unlikely(kw_args > 0)) {
|
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if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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}
|
|
} else if (PyTuple_GET_SIZE(__pyx_args) != 6) {
|
|
goto __pyx_L5_argtuple_error;
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|
} else {
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
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|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
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|
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
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|
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
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}
|
|
__pyx_v_splitter = ((struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *)values[0]);
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__pyx_v_min_samples_split = __Pyx_PyInt_As_Py_intptr_t(values[1]); if (unlikely((__pyx_v_min_samples_split == (npy_intp)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 289; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__pyx_v_min_samples_leaf = __Pyx_PyInt_As_Py_intptr_t(values[2]); if (unlikely((__pyx_v_min_samples_leaf == (npy_intp)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 290; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__pyx_v_min_weight_leaf = values[3];
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__pyx_v_max_depth = __Pyx_PyInt_As_Py_intptr_t(values[4]); if (unlikely((__pyx_v_max_depth == (npy_intp)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 291; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__pyx_v_max_leaf_nodes = __Pyx_PyInt_As_Py_intptr_t(values[5]); if (unlikely((__pyx_v_max_leaf_nodes == (npy_intp)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 291; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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}
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goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
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index = 1; __pyx_t_3 = __pyx_t_7(__pyx_t_4); if (unlikely(!__pyx_t_3)) goto __pyx_L3_unpacking_failed;
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
index = 2; __pyx_t_6 = __pyx_t_7(__pyx_t_4); if (unlikely(!__pyx_t_6)) goto __pyx_L3_unpacking_failed;
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_4), 3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 305; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_t_7 = NULL;
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
goto __pyx_L4_unpacking_done;
|
|
__pyx_L3_unpacking_failed:;
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__pyx_t_7 = NULL;
|
|
if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
|
|
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 305; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_L4_unpacking_done:;
|
|
}
|
|
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 305; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 305; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF_SET(__pyx_v_X, __pyx_t_2);
|
|
__pyx_t_2 = 0;
|
|
__Pyx_DECREF_SET(__pyx_v_y, ((PyArrayObject *)__pyx_t_3));
|
|
__pyx_t_3 = 0;
|
|
__Pyx_DECREF_SET(__pyx_v_sample_weight, ((PyArrayObject *)__pyx_t_6));
|
|
__pyx_t_6 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":307
|
|
* X, y, sample_weight = self._check_input(X, y, sample_weight)
|
|
*
|
|
* cdef DOUBLE_t* sample_weight_ptr = NULL # <<<<<<<<<<<<<<
|
|
* if sample_weight is not None:
|
|
* sample_weight_ptr = <DOUBLE_t*> sample_weight.data
|
|
*/
|
|
__pyx_v_sample_weight_ptr = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":308
|
|
*
|
|
* cdef DOUBLE_t* sample_weight_ptr = NULL
|
|
* if sample_weight is not None: # <<<<<<<<<<<<<<
|
|
* sample_weight_ptr = <DOUBLE_t*> sample_weight.data
|
|
*
|
|
*/
|
|
__pyx_t_8 = (((PyObject *)__pyx_v_sample_weight) != Py_None);
|
|
__pyx_t_9 = (__pyx_t_8 != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":309
|
|
* cdef DOUBLE_t* sample_weight_ptr = NULL
|
|
* if sample_weight is not None:
|
|
* sample_weight_ptr = <DOUBLE_t*> sample_weight.data # <<<<<<<<<<<<<<
|
|
*
|
|
* # Parameters
|
|
*/
|
|
__pyx_v_sample_weight_ptr = ((__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *)__pyx_v_sample_weight->data);
|
|
goto __pyx_L5;
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":312
|
|
*
|
|
* # Parameters
|
|
* cdef Splitter splitter = self.splitter # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t max_leaf_nodes = self.max_leaf_nodes
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
*/
|
|
__pyx_t_1 = ((PyObject *)__pyx_v_self->__pyx_base.splitter);
|
|
__Pyx_INCREF(__pyx_t_1);
|
|
__pyx_v_splitter = ((struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *)__pyx_t_1);
|
|
__pyx_t_1 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":313
|
|
* # Parameters
|
|
* cdef Splitter splitter = self.splitter
|
|
* cdef SIZE_t max_leaf_nodes = self.max_leaf_nodes # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
* cdef double min_weight_leaf = self.min_weight_leaf
|
|
*/
|
|
__pyx_t_10 = __pyx_v_self->max_leaf_nodes;
|
|
__pyx_v_max_leaf_nodes = __pyx_t_10;
|
|
|
|
/* "sklearn/tree/_tree.pyx":314
|
|
* cdef Splitter splitter = self.splitter
|
|
* cdef SIZE_t max_leaf_nodes = self.max_leaf_nodes
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf # <<<<<<<<<<<<<<
|
|
* cdef double min_weight_leaf = self.min_weight_leaf
|
|
* cdef SIZE_t min_samples_split = self.min_samples_split
|
|
*/
|
|
__pyx_t_10 = __pyx_v_self->__pyx_base.min_samples_leaf;
|
|
__pyx_v_min_samples_leaf = __pyx_t_10;
|
|
|
|
/* "sklearn/tree/_tree.pyx":315
|
|
* cdef SIZE_t max_leaf_nodes = self.max_leaf_nodes
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
* cdef double min_weight_leaf = self.min_weight_leaf # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t min_samples_split = self.min_samples_split
|
|
*
|
|
*/
|
|
__pyx_t_11 = __pyx_v_self->__pyx_base.min_weight_leaf;
|
|
__pyx_v_min_weight_leaf = __pyx_t_11;
|
|
|
|
/* "sklearn/tree/_tree.pyx":316
|
|
* cdef SIZE_t min_samples_leaf = self.min_samples_leaf
|
|
* cdef double min_weight_leaf = self.min_weight_leaf
|
|
* cdef SIZE_t min_samples_split = self.min_samples_split # <<<<<<<<<<<<<<
|
|
*
|
|
* # Recursive partition (without actual recursion)
|
|
*/
|
|
__pyx_t_10 = __pyx_v_self->__pyx_base.min_samples_split;
|
|
__pyx_v_min_samples_split = __pyx_t_10;
|
|
|
|
/* "sklearn/tree/_tree.pyx":319
|
|
*
|
|
* # Recursive partition (without actual recursion)
|
|
* splitter.init(X, y, sample_weight_ptr, X_idx_sorted) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef PriorityHeap frontier = PriorityHeap(INITIAL_STACK_SIZE)
|
|
*/
|
|
__pyx_t_12.__pyx_n = 1;
|
|
__pyx_t_12.X_idx_sorted = __pyx_v_X_idx_sorted;
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->init(__pyx_v_splitter, __pyx_v_X, __pyx_v_y, __pyx_v_sample_weight_ptr, &__pyx_t_12); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 319; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":321
|
|
* splitter.init(X, y, sample_weight_ptr, X_idx_sorted)
|
|
*
|
|
* cdef PriorityHeap frontier = PriorityHeap(INITIAL_STACK_SIZE) # <<<<<<<<<<<<<<
|
|
* cdef PriorityHeapRecord record
|
|
* cdef PriorityHeapRecord split_node_left
|
|
*/
|
|
__pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t(__pyx_v_7sklearn_4tree_5_tree_INITIAL_STACK_SIZE); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__Pyx_GIVEREF(__pyx_t_1);
|
|
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1);
|
|
__pyx_t_1 = 0;
|
|
__pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)((PyObject*)__pyx_ptype_7sklearn_4tree_6_utils_PriorityHeap)), __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
|
|
__pyx_v_frontier = ((struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_t_1);
|
|
__pyx_t_1 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":326
|
|
* cdef PriorityHeapRecord split_node_right
|
|
*
|
|
* cdef SIZE_t n_node_samples = splitter.n_samples # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t max_split_nodes = max_leaf_nodes - 1
|
|
* cdef bint is_leaf
|
|
*/
|
|
__pyx_t_13 = __pyx_v_splitter->n_samples;
|
|
__pyx_v_n_node_samples = __pyx_t_13;
|
|
|
|
/* "sklearn/tree/_tree.pyx":327
|
|
*
|
|
* cdef SIZE_t n_node_samples = splitter.n_samples
|
|
* cdef SIZE_t max_split_nodes = max_leaf_nodes - 1 # <<<<<<<<<<<<<<
|
|
* cdef bint is_leaf
|
|
* cdef SIZE_t max_depth_seen = -1
|
|
*/
|
|
__pyx_v_max_split_nodes = (__pyx_v_max_leaf_nodes - 1);
|
|
|
|
/* "sklearn/tree/_tree.pyx":329
|
|
* cdef SIZE_t max_split_nodes = max_leaf_nodes - 1
|
|
* cdef bint is_leaf
|
|
* cdef SIZE_t max_depth_seen = -1 # <<<<<<<<<<<<<<
|
|
* cdef int rc = 0
|
|
* cdef Node* node
|
|
*/
|
|
__pyx_v_max_depth_seen = -1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":330
|
|
* cdef bint is_leaf
|
|
* cdef SIZE_t max_depth_seen = -1
|
|
* cdef int rc = 0 # <<<<<<<<<<<<<<
|
|
* cdef Node* node
|
|
*
|
|
*/
|
|
__pyx_v_rc = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":334
|
|
*
|
|
* # Initial capacity
|
|
* cdef SIZE_t init_capacity = max_split_nodes + max_leaf_nodes # <<<<<<<<<<<<<<
|
|
* tree._resize(init_capacity)
|
|
*
|
|
*/
|
|
__pyx_v_init_capacity = (__pyx_v_max_split_nodes + __pyx_v_max_leaf_nodes);
|
|
|
|
/* "sklearn/tree/_tree.pyx":335
|
|
* # Initial capacity
|
|
* cdef SIZE_t init_capacity = max_split_nodes + max_leaf_nodes
|
|
* tree._resize(init_capacity) # <<<<<<<<<<<<<<
|
|
*
|
|
* with nogil:
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_tree->__pyx_vtab)->_resize(__pyx_v_tree, __pyx_v_init_capacity); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 335; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":337
|
|
* tree._resize(init_capacity)
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* # add root to frontier
|
|
* rc = self._add_split_node(splitter, tree, 0, n_node_samples,
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":339
|
|
* with nogil:
|
|
* # add root to frontier
|
|
* rc = self._add_split_node(splitter, tree, 0, n_node_samples, # <<<<<<<<<<<<<<
|
|
* INFINITY, IS_FIRST, IS_LEFT, NULL, 0,
|
|
* &split_node_left)
|
|
*/
|
|
__pyx_v_rc = __pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node(__pyx_v_self, __pyx_v_splitter, __pyx_v_tree, 0, __pyx_v_n_node_samples, __pyx_v_7sklearn_4tree_5_tree_INFINITY, __pyx_v_7sklearn_4tree_5_tree_IS_FIRST, __pyx_v_7sklearn_4tree_5_tree_IS_LEFT, NULL, 0, (&__pyx_v_split_node_left));
|
|
|
|
/* "sklearn/tree/_tree.pyx":342
|
|
* INFINITY, IS_FIRST, IS_LEFT, NULL, 0,
|
|
* &split_node_left)
|
|
* if rc >= 0: # <<<<<<<<<<<<<<
|
|
* rc = _add_to_frontier(&split_node_left, frontier)
|
|
* if rc == -1:
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc >= 0) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":343
|
|
* &split_node_left)
|
|
* if rc >= 0:
|
|
* rc = _add_to_frontier(&split_node_left, frontier) # <<<<<<<<<<<<<<
|
|
* if rc == -1:
|
|
* raise MemoryError()
|
|
*/
|
|
__pyx_v_rc = __pyx_f_7sklearn_4tree_5_tree__add_to_frontier((&__pyx_v_split_node_left), __pyx_v_frontier);
|
|
goto __pyx_L9;
|
|
}
|
|
__pyx_L9:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":337
|
|
* tree._resize(init_capacity)
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* # add root to frontier
|
|
* rc = self._add_split_node(splitter, tree, 0, n_node_samples,
|
|
*/
|
|
/*finally:*/ {
|
|
/*normal exit:*/{
|
|
#ifdef WITH_THREAD
|
|
Py_BLOCK_THREADS
|
|
#endif
|
|
goto __pyx_L8;
|
|
}
|
|
__pyx_L8:;
|
|
}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":344
|
|
* if rc >= 0:
|
|
* rc = _add_to_frontier(&split_node_left, frontier)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* raise MemoryError()
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":345
|
|
* rc = _add_to_frontier(&split_node_left, frontier)
|
|
* if rc == -1:
|
|
* raise MemoryError() # <<<<<<<<<<<<<<
|
|
*
|
|
* with nogil:
|
|
*/
|
|
PyErr_NoMemory(); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 345; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":347
|
|
* raise MemoryError()
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* while not frontier.is_empty():
|
|
* frontier.pop(&record)
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":348
|
|
*
|
|
* with nogil:
|
|
* while not frontier.is_empty(): # <<<<<<<<<<<<<<
|
|
* frontier.pop(&record)
|
|
*
|
|
*/
|
|
while (1) {
|
|
__pyx_t_9 = ((!(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->is_empty(__pyx_v_frontier) != 0)) != 0);
|
|
if (!__pyx_t_9) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":349
|
|
* with nogil:
|
|
* while not frontier.is_empty():
|
|
* frontier.pop(&record) # <<<<<<<<<<<<<<
|
|
*
|
|
* node = &tree.nodes[record.node_id]
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap *)__pyx_v_frontier->__pyx_vtab)->pop(__pyx_v_frontier, (&__pyx_v_record));
|
|
|
|
/* "sklearn/tree/_tree.pyx":351
|
|
* frontier.pop(&record)
|
|
*
|
|
* node = &tree.nodes[record.node_id] # <<<<<<<<<<<<<<
|
|
* is_leaf = (record.is_leaf or max_split_nodes <= 0)
|
|
*
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_tree->nodes[__pyx_v_record.node_id]));
|
|
|
|
/* "sklearn/tree/_tree.pyx":352
|
|
*
|
|
* node = &tree.nodes[record.node_id]
|
|
* is_leaf = (record.is_leaf or max_split_nodes <= 0) # <<<<<<<<<<<<<<
|
|
*
|
|
* if is_leaf:
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_record.is_leaf != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L16_bool_binop_done;
|
|
}
|
|
__pyx_t_8 = ((__pyx_v_max_split_nodes <= 0) != 0);
|
|
__pyx_t_9 = __pyx_t_8;
|
|
__pyx_L16_bool_binop_done:;
|
|
__pyx_v_is_leaf = __pyx_t_9;
|
|
|
|
/* "sklearn/tree/_tree.pyx":354
|
|
* is_leaf = (record.is_leaf or max_split_nodes <= 0)
|
|
*
|
|
* if is_leaf: # <<<<<<<<<<<<<<
|
|
* # Node is not expandable; set node as leaf
|
|
* node.left_child = _TREE_LEAF
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_is_leaf != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":356
|
|
* if is_leaf:
|
|
* # Node is not expandable; set node as leaf
|
|
* node.left_child = _TREE_LEAF # <<<<<<<<<<<<<<
|
|
* node.right_child = _TREE_LEAF
|
|
* node.feature = _TREE_UNDEFINED
|
|
*/
|
|
__pyx_v_node->left_child = __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF;
|
|
|
|
/* "sklearn/tree/_tree.pyx":357
|
|
* # Node is not expandable; set node as leaf
|
|
* node.left_child = _TREE_LEAF
|
|
* node.right_child = _TREE_LEAF # <<<<<<<<<<<<<<
|
|
* node.feature = _TREE_UNDEFINED
|
|
* node.threshold = _TREE_UNDEFINED
|
|
*/
|
|
__pyx_v_node->right_child = __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF;
|
|
|
|
/* "sklearn/tree/_tree.pyx":358
|
|
* node.left_child = _TREE_LEAF
|
|
* node.right_child = _TREE_LEAF
|
|
* node.feature = _TREE_UNDEFINED # <<<<<<<<<<<<<<
|
|
* node.threshold = _TREE_UNDEFINED
|
|
*
|
|
*/
|
|
__pyx_v_node->feature = __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED;
|
|
|
|
/* "sklearn/tree/_tree.pyx":359
|
|
* node.right_child = _TREE_LEAF
|
|
* node.feature = _TREE_UNDEFINED
|
|
* node.threshold = _TREE_UNDEFINED # <<<<<<<<<<<<<<
|
|
*
|
|
* else:
|
|
*/
|
|
__pyx_v_node->threshold = __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED;
|
|
goto __pyx_L18;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":365
|
|
*
|
|
* # Decrement number of split nodes available
|
|
* max_split_nodes -= 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # Compute left split node
|
|
*/
|
|
__pyx_v_max_split_nodes = (__pyx_v_max_split_nodes - 1);
|
|
|
|
/* "sklearn/tree/_tree.pyx":368
|
|
*
|
|
* # Compute left split node
|
|
* rc = self._add_split_node(splitter, tree, # <<<<<<<<<<<<<<
|
|
* record.start, record.pos,
|
|
* record.impurity_left,
|
|
*/
|
|
__pyx_v_rc = __pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node(__pyx_v_self, __pyx_v_splitter, __pyx_v_tree, __pyx_v_record.start, __pyx_v_record.pos, __pyx_v_record.impurity_left, __pyx_v_7sklearn_4tree_5_tree_IS_NOT_FIRST, __pyx_v_7sklearn_4tree_5_tree_IS_LEFT, __pyx_v_node, (__pyx_v_record.depth + 1), (&__pyx_v_split_node_left));
|
|
|
|
/* "sklearn/tree/_tree.pyx":374
|
|
* record.depth + 1,
|
|
* &split_node_left)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":375
|
|
* &split_node_left)
|
|
* if rc == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* # tree.nodes may have changed
|
|
*/
|
|
goto __pyx_L15_break;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":378
|
|
*
|
|
* # tree.nodes may have changed
|
|
* node = &tree.nodes[record.node_id] # <<<<<<<<<<<<<<
|
|
*
|
|
* # Compute right split node
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_tree->nodes[__pyx_v_record.node_id]));
|
|
|
|
/* "sklearn/tree/_tree.pyx":381
|
|
*
|
|
* # Compute right split node
|
|
* rc = self._add_split_node(splitter, tree, record.pos, # <<<<<<<<<<<<<<
|
|
* record.end,
|
|
* record.impurity_right,
|
|
*/
|
|
__pyx_v_rc = __pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node(__pyx_v_self, __pyx_v_splitter, __pyx_v_tree, __pyx_v_record.pos, __pyx_v_record.end, __pyx_v_record.impurity_right, __pyx_v_7sklearn_4tree_5_tree_IS_NOT_FIRST, __pyx_v_7sklearn_4tree_5_tree_IS_NOT_LEFT, __pyx_v_node, (__pyx_v_record.depth + 1), (&__pyx_v_split_node_right));
|
|
|
|
/* "sklearn/tree/_tree.pyx":387
|
|
* record.depth + 1,
|
|
* &split_node_right)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":388
|
|
* &split_node_right)
|
|
* if rc == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* # Add nodes to queue
|
|
*/
|
|
goto __pyx_L15_break;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":391
|
|
*
|
|
* # Add nodes to queue
|
|
* rc = _add_to_frontier(&split_node_left, frontier) # <<<<<<<<<<<<<<
|
|
* if rc == -1:
|
|
* break
|
|
*/
|
|
__pyx_v_rc = __pyx_f_7sklearn_4tree_5_tree__add_to_frontier((&__pyx_v_split_node_left), __pyx_v_frontier);
|
|
|
|
/* "sklearn/tree/_tree.pyx":392
|
|
* # Add nodes to queue
|
|
* rc = _add_to_frontier(&split_node_left, frontier)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":393
|
|
* rc = _add_to_frontier(&split_node_left, frontier)
|
|
* if rc == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* rc = _add_to_frontier(&split_node_right, frontier)
|
|
*/
|
|
goto __pyx_L15_break;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":395
|
|
* break
|
|
*
|
|
* rc = _add_to_frontier(&split_node_right, frontier) # <<<<<<<<<<<<<<
|
|
* if rc == -1:
|
|
* break
|
|
*/
|
|
__pyx_v_rc = __pyx_f_7sklearn_4tree_5_tree__add_to_frontier((&__pyx_v_split_node_right), __pyx_v_frontier);
|
|
|
|
/* "sklearn/tree/_tree.pyx":396
|
|
*
|
|
* rc = _add_to_frontier(&split_node_right, frontier)
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":397
|
|
* rc = _add_to_frontier(&split_node_right, frontier)
|
|
* if rc == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* if record.depth > max_depth_seen:
|
|
*/
|
|
goto __pyx_L15_break;
|
|
}
|
|
}
|
|
__pyx_L18:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":399
|
|
* break
|
|
*
|
|
* if record.depth > max_depth_seen: # <<<<<<<<<<<<<<
|
|
* max_depth_seen = record.depth
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_record.depth > __pyx_v_max_depth_seen) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":400
|
|
*
|
|
* if record.depth > max_depth_seen:
|
|
* max_depth_seen = record.depth # <<<<<<<<<<<<<<
|
|
*
|
|
* if rc >= 0:
|
|
*/
|
|
__pyx_t_14 = __pyx_v_record.depth;
|
|
__pyx_v_max_depth_seen = __pyx_t_14;
|
|
goto __pyx_L23;
|
|
}
|
|
__pyx_L23:;
|
|
}
|
|
__pyx_L15_break:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":402
|
|
* max_depth_seen = record.depth
|
|
*
|
|
* if rc >= 0: # <<<<<<<<<<<<<<
|
|
* rc = tree._resize_c(tree.node_count)
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc >= 0) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":403
|
|
*
|
|
* if rc >= 0:
|
|
* rc = tree._resize_c(tree.node_count) # <<<<<<<<<<<<<<
|
|
*
|
|
* if rc >= 0:
|
|
*/
|
|
__pyx_t_16.__pyx_n = 1;
|
|
__pyx_t_16.capacity = __pyx_v_tree->node_count;
|
|
__pyx_t_15 = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_tree->__pyx_vtab)->_resize_c(__pyx_v_tree, &__pyx_t_16);
|
|
__pyx_v_rc = __pyx_t_15;
|
|
goto __pyx_L24;
|
|
}
|
|
__pyx_L24:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":405
|
|
* rc = tree._resize_c(tree.node_count)
|
|
*
|
|
* if rc >= 0: # <<<<<<<<<<<<<<
|
|
* tree.max_depth = max_depth_seen
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc >= 0) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":406
|
|
*
|
|
* if rc >= 0:
|
|
* tree.max_depth = max_depth_seen # <<<<<<<<<<<<<<
|
|
*
|
|
* if rc == -1:
|
|
*/
|
|
__pyx_v_tree->max_depth = __pyx_v_max_depth_seen;
|
|
goto __pyx_L25;
|
|
}
|
|
__pyx_L25:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":347
|
|
* raise MemoryError()
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* while not frontier.is_empty():
|
|
* frontier.pop(&record)
|
|
*/
|
|
/*finally:*/ {
|
|
/*normal exit:*/{
|
|
#ifdef WITH_THREAD
|
|
Py_BLOCK_THREADS
|
|
#endif
|
|
goto __pyx_L13;
|
|
}
|
|
__pyx_L13:;
|
|
}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":408
|
|
* tree.max_depth = max_depth_seen
|
|
*
|
|
* if rc == -1: # <<<<<<<<<<<<<<
|
|
* raise MemoryError()
|
|
*
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_rc == -1) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":409
|
|
*
|
|
* if rc == -1:
|
|
* raise MemoryError() # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef inline int _add_split_node(self, Splitter splitter, Tree tree,
|
|
*/
|
|
PyErr_NoMemory(); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 409; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":299
|
|
* self.max_leaf_nodes = max_leaf_nodes
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None):
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_2);
|
|
__Pyx_XDECREF(__pyx_t_3);
|
|
__Pyx_XDECREF(__pyx_t_4);
|
|
__Pyx_XDECREF(__pyx_t_6);
|
|
__Pyx_AddTraceback("sklearn.tree._tree.BestFirstTreeBuilder.build", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__pyx_r = 0;
|
|
__pyx_L0:;
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_splitter);
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_frontier);
|
|
__Pyx_XDECREF(__pyx_v_X);
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_y);
|
|
__Pyx_XDECREF((PyObject *)__pyx_v_sample_weight);
|
|
__Pyx_XGIVEREF(__pyx_r);
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* Python wrapper */
|
|
static PyObject *__pyx_pw_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_3build(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
|
|
static char __pyx_doc_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_2build[] = "Build a decision tree from the training set (X, y).";
|
|
static PyObject *__pyx_pw_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_3build(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree = 0;
|
|
PyObject *__pyx_v_X = 0;
|
|
PyArrayObject *__pyx_v_y = 0;
|
|
PyArrayObject *__pyx_v_sample_weight = 0;
|
|
PyArrayObject *__pyx_v_X_idx_sorted = 0;
|
|
int __pyx_lineno = 0;
|
|
const char *__pyx_filename = NULL;
|
|
int __pyx_clineno = 0;
|
|
PyObject *__pyx_r = 0;
|
|
__Pyx_RefNannyDeclarations
|
|
__Pyx_RefNannySetupContext("build (wrapper)", 0);
|
|
{
|
|
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_tree,&__pyx_n_s_X,&__pyx_n_s_y,&__pyx_n_s_sample_weight,&__pyx_n_s_X_idx_sorted,0};
|
|
PyObject* values[5] = {0,0,0,0,0};
|
|
|
|
/* "sklearn/tree/_tree.pyx":300
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y,
|
|
* np.ndarray sample_weight=None, # <<<<<<<<<<<<<<
|
|
* np.ndarray X_idx_sorted=None):
|
|
* """Build a decision tree from the training set (X, y)."""
|
|
*/
|
|
values[3] = (PyObject *)((PyArrayObject *)Py_None);
|
|
|
|
/* "sklearn/tree/_tree.pyx":301
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y,
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None): # <<<<<<<<<<<<<<
|
|
* """Build a decision tree from the training set (X, y)."""
|
|
*
|
|
*/
|
|
values[4] = (PyObject *)((PyArrayObject *)Py_None);
|
|
if (unlikely(__pyx_kwds)) {
|
|
Py_ssize_t kw_args;
|
|
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
|
|
switch (pos_args) {
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
case 0: break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
kw_args = PyDict_Size(__pyx_kwds);
|
|
switch (pos_args) {
|
|
case 0:
|
|
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_tree)) != 0)) kw_args--;
|
|
else goto __pyx_L5_argtuple_error;
|
|
case 1:
|
|
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_X)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("build", 0, 3, 5, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 2:
|
|
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_y)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("build", 0, 3, 5, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 3:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_sample_weight);
|
|
if (value) { values[3] = value; kw_args--; }
|
|
}
|
|
case 4:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s_X_idx_sorted);
|
|
if (value) { values[4] = value; kw_args--; }
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "build") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
}
|
|
__pyx_v_tree = ((struct __pyx_obj_7sklearn_4tree_5_tree_Tree *)values[0]);
|
|
__pyx_v_X = values[1];
|
|
__pyx_v_y = ((PyArrayObject *)values[2]);
|
|
__pyx_v_sample_weight = ((PyArrayObject *)values[3]);
|
|
__pyx_v_X_idx_sorted = ((PyArrayObject *)values[4]);
|
|
}
|
|
goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
|
|
__Pyx_RaiseArgtupleInvalid("build", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_L3_error:;
|
|
__Pyx_AddTraceback("sklearn.tree._tree.BestFirstTreeBuilder.build", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__Pyx_RefNannyFinishContext();
|
|
return NULL;
|
|
__pyx_L4_argument_unpacking_done:;
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_tree), __pyx_ptype_7sklearn_4tree_5_tree_Tree, 1, "tree", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), __pyx_ptype_5numpy_ndarray, 1, "y", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sample_weight), __pyx_ptype_5numpy_ndarray, 1, "sample_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 300; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_idx_sorted), __pyx_ptype_5numpy_ndarray, 1, "X_idx_sorted", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 301; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_r = __pyx_pf_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_2build(((struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *)__pyx_v_self), __pyx_v_tree, __pyx_v_X, __pyx_v_y, __pyx_v_sample_weight, __pyx_v_X_idx_sorted);
|
|
|
|
/* "sklearn/tree/_tree.pyx":299
|
|
* self.max_leaf_nodes = max_leaf_nodes
|
|
*
|
|
* cpdef build(self, Tree tree, object X, np.ndarray y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_weight=None,
|
|
* np.ndarray X_idx_sorted=None):
|
|
*/
|
|
|
|
/* function exit code */
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__pyx_r = NULL;
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
|
|
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_2build(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, PyObject *__pyx_v_X, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_sample_weight, PyArrayObject *__pyx_v_X_idx_sorted) {
|
|
PyObject *__pyx_r = NULL;
|
|
__Pyx_RefNannyDeclarations
|
|
PyObject *__pyx_t_1 = NULL;
|
|
struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build __pyx_t_2;
|
|
int __pyx_lineno = 0;
|
|
const char *__pyx_filename = NULL;
|
|
int __pyx_clineno = 0;
|
|
__Pyx_RefNannySetupContext("build", 0);
|
|
__Pyx_XDECREF(__pyx_r);
|
|
__pyx_t_2.__pyx_n = 2;
|
|
__pyx_t_2.sample_weight = __pyx_v_sample_weight;
|
|
__pyx_t_2.X_idx_sorted = __pyx_v_X_idx_sorted;
|
|
__pyx_t_1 = __pyx_vtabptr_7sklearn_4tree_5_tree_BestFirstTreeBuilder->__pyx_base.build(((struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *)__pyx_v_self), __pyx_v_tree, __pyx_v_X, __pyx_v_y, 1, &__pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 299; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__pyx_r = __pyx_t_1;
|
|
__pyx_t_1 = 0;
|
|
goto __pyx_L0;
|
|
|
|
/* function exit code */
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_AddTraceback("sklearn.tree._tree.BestFirstTreeBuilder.build", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__pyx_r = NULL;
|
|
__pyx_L0:;
|
|
__Pyx_XGIVEREF(__pyx_r);
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":411
|
|
* raise MemoryError()
|
|
*
|
|
* cdef inline int _add_split_node(self, Splitter splitter, Tree tree, # <<<<<<<<<<<<<<
|
|
* SIZE_t start, SIZE_t end, double impurity,
|
|
* bint is_first, bint is_left, Node* parent,
|
|
*/
|
|
|
|
static CYTHON_INLINE int __pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *__pyx_v_self, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *__pyx_v_splitter, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_tree, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_start, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_end, double __pyx_v_impurity, int __pyx_v_is_first, int __pyx_v_is_left, struct __pyx_t_7sklearn_4tree_5_tree_Node *__pyx_v_parent, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_depth, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *__pyx_v_res) {
|
|
struct __pyx_t_7sklearn_4tree_9_splitter_SplitRecord __pyx_v_split;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_node_id;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_n_node_samples;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_n_constant_features;
|
|
CYTHON_UNUSED double __pyx_v_weighted_n_samples;
|
|
double __pyx_v_weighted_n_node_samples;
|
|
int __pyx_v_is_leaf;
|
|
int __pyx_r;
|
|
double __pyx_t_1;
|
|
int __pyx_t_2;
|
|
int __pyx_t_3;
|
|
ptrdiff_t __pyx_t_4;
|
|
__pyx_t_7sklearn_4tree_9_splitter_SIZE_t __pyx_t_5;
|
|
|
|
/* "sklearn/tree/_tree.pyx":420
|
|
* cdef SIZE_t node_id
|
|
* cdef SIZE_t n_node_samples
|
|
* cdef SIZE_t n_constant_features = 0 # <<<<<<<<<<<<<<
|
|
* cdef double weighted_n_samples = splitter.weighted_n_samples
|
|
* cdef double weighted_n_node_samples
|
|
*/
|
|
__pyx_v_n_constant_features = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":421
|
|
* cdef SIZE_t n_node_samples
|
|
* cdef SIZE_t n_constant_features = 0
|
|
* cdef double weighted_n_samples = splitter.weighted_n_samples # <<<<<<<<<<<<<<
|
|
* cdef double weighted_n_node_samples
|
|
* cdef bint is_leaf
|
|
*/
|
|
__pyx_t_1 = __pyx_v_splitter->weighted_n_samples;
|
|
__pyx_v_weighted_n_samples = __pyx_t_1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":427
|
|
* cdef double imp_diff
|
|
*
|
|
* splitter.node_reset(start, end, &weighted_n_node_samples) # <<<<<<<<<<<<<<
|
|
*
|
|
* if is_first:
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_reset(__pyx_v_splitter, __pyx_v_start, __pyx_v_end, (&__pyx_v_weighted_n_node_samples));
|
|
|
|
/* "sklearn/tree/_tree.pyx":429
|
|
* splitter.node_reset(start, end, &weighted_n_node_samples)
|
|
*
|
|
* if is_first: # <<<<<<<<<<<<<<
|
|
* impurity = splitter.node_impurity()
|
|
*
|
|
*/
|
|
__pyx_t_2 = (__pyx_v_is_first != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":430
|
|
*
|
|
* if is_first:
|
|
* impurity = splitter.node_impurity() # <<<<<<<<<<<<<<
|
|
*
|
|
* n_node_samples = end - start
|
|
*/
|
|
__pyx_v_impurity = ((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_impurity(__pyx_v_splitter);
|
|
goto __pyx_L3;
|
|
}
|
|
__pyx_L3:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":432
|
|
* impurity = splitter.node_impurity()
|
|
*
|
|
* n_node_samples = end - start # <<<<<<<<<<<<<<
|
|
* is_leaf = ((depth > self.max_depth) or
|
|
* (n_node_samples < self.min_samples_split) or
|
|
*/
|
|
__pyx_v_n_node_samples = (__pyx_v_end - __pyx_v_start);
|
|
|
|
/* "sklearn/tree/_tree.pyx":433
|
|
*
|
|
* n_node_samples = end - start
|
|
* is_leaf = ((depth > self.max_depth) or # <<<<<<<<<<<<<<
|
|
* (n_node_samples < self.min_samples_split) or
|
|
* (n_node_samples < 2 * self.min_samples_leaf) or
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_depth > __pyx_v_self->__pyx_base.max_depth) != 0);
|
|
if (!__pyx_t_3) {
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
goto __pyx_L4_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":434
|
|
* n_node_samples = end - start
|
|
* is_leaf = ((depth > self.max_depth) or
|
|
* (n_node_samples < self.min_samples_split) or # <<<<<<<<<<<<<<
|
|
* (n_node_samples < 2 * self.min_samples_leaf) or
|
|
* (weighted_n_node_samples < self.min_weight_leaf) or
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_n_node_samples < __pyx_v_self->__pyx_base.min_samples_split) != 0);
|
|
if (!__pyx_t_3) {
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
goto __pyx_L4_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":435
|
|
* is_leaf = ((depth > self.max_depth) or
|
|
* (n_node_samples < self.min_samples_split) or
|
|
* (n_node_samples < 2 * self.min_samples_leaf) or # <<<<<<<<<<<<<<
|
|
* (weighted_n_node_samples < self.min_weight_leaf) or
|
|
* (impurity <= MIN_IMPURITY_SPLIT))
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_n_node_samples < (2 * __pyx_v_self->__pyx_base.min_samples_leaf)) != 0);
|
|
if (!__pyx_t_3) {
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
goto __pyx_L4_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":436
|
|
* (n_node_samples < self.min_samples_split) or
|
|
* (n_node_samples < 2 * self.min_samples_leaf) or
|
|
* (weighted_n_node_samples < self.min_weight_leaf) or # <<<<<<<<<<<<<<
|
|
* (impurity <= MIN_IMPURITY_SPLIT))
|
|
*
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_weighted_n_node_samples < __pyx_v_self->__pyx_base.min_weight_leaf) != 0);
|
|
if (!__pyx_t_3) {
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
goto __pyx_L4_bool_binop_done;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":437
|
|
* (n_node_samples < 2 * self.min_samples_leaf) or
|
|
* (weighted_n_node_samples < self.min_weight_leaf) or
|
|
* (impurity <= MIN_IMPURITY_SPLIT)) # <<<<<<<<<<<<<<
|
|
*
|
|
* if not is_leaf:
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_impurity <= __pyx_v_7sklearn_4tree_5_tree_MIN_IMPURITY_SPLIT) != 0);
|
|
__pyx_t_2 = __pyx_t_3;
|
|
__pyx_L4_bool_binop_done:;
|
|
__pyx_v_is_leaf = __pyx_t_2;
|
|
|
|
/* "sklearn/tree/_tree.pyx":439
|
|
* (impurity <= MIN_IMPURITY_SPLIT))
|
|
*
|
|
* if not is_leaf: # <<<<<<<<<<<<<<
|
|
* splitter.node_split(impurity, &split, &n_constant_features)
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*/
|
|
__pyx_t_2 = ((!(__pyx_v_is_leaf != 0)) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":440
|
|
*
|
|
* if not is_leaf:
|
|
* splitter.node_split(impurity, &split, &n_constant_features) # <<<<<<<<<<<<<<
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_split(__pyx_v_splitter, __pyx_v_impurity, (&__pyx_v_split), (&__pyx_v_n_constant_features));
|
|
|
|
/* "sklearn/tree/_tree.pyx":441
|
|
* if not is_leaf:
|
|
* splitter.node_split(impurity, &split, &n_constant_features)
|
|
* is_leaf = is_leaf or (split.pos >= end) # <<<<<<<<<<<<<<
|
|
*
|
|
* node_id = tree._add_node(parent - tree.nodes
|
|
*/
|
|
__pyx_t_3 = (__pyx_v_is_leaf != 0);
|
|
if (!__pyx_t_3) {
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
goto __pyx_L10_bool_binop_done;
|
|
}
|
|
__pyx_t_3 = ((__pyx_v_split.pos >= __pyx_v_end) != 0);
|
|
__pyx_t_2 = __pyx_t_3;
|
|
__pyx_L10_bool_binop_done:;
|
|
__pyx_v_is_leaf = __pyx_t_2;
|
|
goto __pyx_L9;
|
|
}
|
|
__pyx_L9:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":444
|
|
*
|
|
* node_id = tree._add_node(parent - tree.nodes
|
|
* if parent != NULL # <<<<<<<<<<<<<<
|
|
* else _TREE_UNDEFINED,
|
|
* is_left, is_leaf,
|
|
*/
|
|
if (((__pyx_v_parent != NULL) != 0)) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":443
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*
|
|
* node_id = tree._add_node(parent - tree.nodes # <<<<<<<<<<<<<<
|
|
* if parent != NULL
|
|
* else _TREE_UNDEFINED,
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_parent - __pyx_v_tree->nodes);
|
|
} else {
|
|
|
|
/* "sklearn/tree/_tree.pyx":445
|
|
* node_id = tree._add_node(parent - tree.nodes
|
|
* if parent != NULL
|
|
* else _TREE_UNDEFINED, # <<<<<<<<<<<<<<
|
|
* is_left, is_leaf,
|
|
* split.feature, split.threshold, impurity, n_node_samples,
|
|
*/
|
|
__pyx_t_4 = __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":443
|
|
* is_leaf = is_leaf or (split.pos >= end)
|
|
*
|
|
* node_id = tree._add_node(parent - tree.nodes # <<<<<<<<<<<<<<
|
|
* if parent != NULL
|
|
* else _TREE_UNDEFINED,
|
|
*/
|
|
__pyx_v_node_id = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_tree->__pyx_vtab)->_add_node(__pyx_v_tree, __pyx_t_4, __pyx_v_is_left, __pyx_v_is_leaf, __pyx_v_split.feature, __pyx_v_split.threshold, __pyx_v_impurity, __pyx_v_n_node_samples, __pyx_v_weighted_n_node_samples);
|
|
|
|
/* "sklearn/tree/_tree.pyx":449
|
|
* split.feature, split.threshold, impurity, n_node_samples,
|
|
* weighted_n_node_samples)
|
|
* if node_id == <SIZE_t>(-1): # <<<<<<<<<<<<<<
|
|
* return -1
|
|
*
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_node_id == ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)-1)) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":450
|
|
* weighted_n_node_samples)
|
|
* if node_id == <SIZE_t>(-1):
|
|
* return -1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # compute values also for split nodes (might become leafs later).
|
|
*/
|
|
__pyx_r = -1;
|
|
goto __pyx_L0;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":453
|
|
*
|
|
* # compute values also for split nodes (might become leafs later).
|
|
* splitter.node_value(tree.value + node_id * tree.value_stride) # <<<<<<<<<<<<<<
|
|
*
|
|
* res.node_id = node_id
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter *)__pyx_v_splitter->__pyx_vtab)->node_value(__pyx_v_splitter, (__pyx_v_tree->value + (__pyx_v_node_id * __pyx_v_tree->value_stride)));
|
|
|
|
/* "sklearn/tree/_tree.pyx":455
|
|
* splitter.node_value(tree.value + node_id * tree.value_stride)
|
|
*
|
|
* res.node_id = node_id # <<<<<<<<<<<<<<
|
|
* res.start = start
|
|
* res.end = end
|
|
*/
|
|
__pyx_v_res->node_id = __pyx_v_node_id;
|
|
|
|
/* "sklearn/tree/_tree.pyx":456
|
|
*
|
|
* res.node_id = node_id
|
|
* res.start = start # <<<<<<<<<<<<<<
|
|
* res.end = end
|
|
* res.depth = depth
|
|
*/
|
|
__pyx_v_res->start = __pyx_v_start;
|
|
|
|
/* "sklearn/tree/_tree.pyx":457
|
|
* res.node_id = node_id
|
|
* res.start = start
|
|
* res.end = end # <<<<<<<<<<<<<<
|
|
* res.depth = depth
|
|
* res.impurity = impurity
|
|
*/
|
|
__pyx_v_res->end = __pyx_v_end;
|
|
|
|
/* "sklearn/tree/_tree.pyx":458
|
|
* res.start = start
|
|
* res.end = end
|
|
* res.depth = depth # <<<<<<<<<<<<<<
|
|
* res.impurity = impurity
|
|
*
|
|
*/
|
|
__pyx_v_res->depth = __pyx_v_depth;
|
|
|
|
/* "sklearn/tree/_tree.pyx":459
|
|
* res.end = end
|
|
* res.depth = depth
|
|
* res.impurity = impurity # <<<<<<<<<<<<<<
|
|
*
|
|
* if not is_leaf:
|
|
*/
|
|
__pyx_v_res->impurity = __pyx_v_impurity;
|
|
|
|
/* "sklearn/tree/_tree.pyx":461
|
|
* res.impurity = impurity
|
|
*
|
|
* if not is_leaf: # <<<<<<<<<<<<<<
|
|
* # is split node
|
|
* res.pos = split.pos
|
|
*/
|
|
__pyx_t_2 = ((!(__pyx_v_is_leaf != 0)) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":463
|
|
* if not is_leaf:
|
|
* # is split node
|
|
* res.pos = split.pos # <<<<<<<<<<<<<<
|
|
* res.is_leaf = 0
|
|
* res.improvement = split.improvement
|
|
*/
|
|
__pyx_t_5 = __pyx_v_split.pos;
|
|
__pyx_v_res->pos = __pyx_t_5;
|
|
|
|
/* "sklearn/tree/_tree.pyx":464
|
|
* # is split node
|
|
* res.pos = split.pos
|
|
* res.is_leaf = 0 # <<<<<<<<<<<<<<
|
|
* res.improvement = split.improvement
|
|
* res.impurity_left = split.impurity_left
|
|
*/
|
|
__pyx_v_res->is_leaf = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":465
|
|
* res.pos = split.pos
|
|
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|
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*
|
|
* cdef void _resize(self, SIZE_t capacity) except *: # <<<<<<<<<<<<<<
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|
* """Resize all inner arrays to `capacity`, if `capacity` == -1, then
|
|
* double the size of the inner arrays."""
|
|
*/
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|
|
|
static void __pyx_f_7sklearn_4tree_5_tree_4Tree__resize(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_capacity) {
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__Pyx_RefNannyDeclarations
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int __pyx_t_3;
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/* "sklearn/tree/_tree.pyx":655
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* raise MemoryError()
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*
|
|
*/
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__pyx_t_2.__pyx_n = 1;
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__pyx_t_2.capacity = __pyx_v_capacity;
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__pyx_t_1 = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_self->__pyx_vtab)->_resize_c(__pyx_v_self, &__pyx_t_2);
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__pyx_t_3 = ((__pyx_t_1 != 0) != 0);
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/* "sklearn/tree/_tree.pyx":656
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|
|
* raise MemoryError() # <<<<<<<<<<<<<<
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|
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|
|
/* "sklearn/tree/_tree.pyx":652
|
|
* self.capacity * self.value_stride * sizeof(double))
|
|
*
|
|
* cdef void _resize(self, SIZE_t capacity) except *: # <<<<<<<<<<<<<<
|
|
* """Resize all inner arrays to `capacity`, if `capacity` == -1, then
|
|
* double the size of the inner arrays."""
|
|
*/
|
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|
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/* function exit code */
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goto __pyx_L0;
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|
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__Pyx_AddTraceback("sklearn.tree._tree.Tree._resize", __pyx_clineno, __pyx_lineno, __pyx_filename);
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/* "sklearn/tree/_tree.pyx":660
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|
|
* # (i.e., older MSVC).
|
|
* cdef int _resize_c(self, SIZE_t capacity=<SIZE_t>(-1)) nogil: # <<<<<<<<<<<<<<
|
|
* """Guts of _resize. Returns 0 for success, -1 for error."""
|
|
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|
|
*/
|
|
|
|
static int __pyx_f_7sklearn_4tree_5_tree_4Tree__resize_c(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree__resize_c *__pyx_optional_args) {
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_capacity = __pyx_k__4;
|
|
void *__pyx_v_ptr;
|
|
int __pyx_r;
|
|
int __pyx_t_1;
|
|
int __pyx_t_2;
|
|
if (__pyx_optional_args) {
|
|
if (__pyx_optional_args->__pyx_n > 0) {
|
|
__pyx_v_capacity = __pyx_optional_args->capacity;
|
|
}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":662
|
|
* cdef int _resize_c(self, SIZE_t capacity=<SIZE_t>(-1)) nogil:
|
|
* """Guts of _resize. Returns 0 for success, -1 for error."""
|
|
* if capacity == self.capacity and self.nodes != NULL: # <<<<<<<<<<<<<<
|
|
* return 0
|
|
*
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_capacity == __pyx_v_self->capacity) != 0);
|
|
if (__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L4_bool_binop_done;
|
|
}
|
|
__pyx_t_2 = ((__pyx_v_self->nodes != NULL) != 0);
|
|
__pyx_t_1 = __pyx_t_2;
|
|
__pyx_L4_bool_binop_done:;
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":663
|
|
* """Guts of _resize. Returns 0 for success, -1 for error."""
|
|
* if capacity == self.capacity and self.nodes != NULL:
|
|
* return 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* if capacity == <SIZE_t>(-1):
|
|
*/
|
|
__pyx_r = 0;
|
|
goto __pyx_L0;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":665
|
|
* return 0
|
|
*
|
|
* if capacity == <SIZE_t>(-1): # <<<<<<<<<<<<<<
|
|
* if self.capacity == 0:
|
|
* capacity = 3 # default initial value
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_capacity == ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)-1)) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":666
|
|
*
|
|
* if capacity == <SIZE_t>(-1):
|
|
* if self.capacity == 0: # <<<<<<<<<<<<<<
|
|
* capacity = 3 # default initial value
|
|
* else:
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_self->capacity == 0) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":667
|
|
* if capacity == <SIZE_t>(-1):
|
|
* if self.capacity == 0:
|
|
* capacity = 3 # default initial value # <<<<<<<<<<<<<<
|
|
* else:
|
|
* capacity = 2 * self.capacity
|
|
*/
|
|
__pyx_v_capacity = 3;
|
|
goto __pyx_L7;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":669
|
|
* capacity = 3 # default initial value
|
|
* else:
|
|
* capacity = 2 * self.capacity # <<<<<<<<<<<<<<
|
|
*
|
|
* # XXX no safe_realloc here because we need to grab the GIL
|
|
*/
|
|
__pyx_v_capacity = (2 * __pyx_v_self->capacity);
|
|
}
|
|
__pyx_L7:;
|
|
goto __pyx_L6;
|
|
}
|
|
__pyx_L6:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":672
|
|
*
|
|
* # XXX no safe_realloc here because we need to grab the GIL
|
|
* cdef void* ptr = realloc(self.nodes, capacity * sizeof(Node)) # <<<<<<<<<<<<<<
|
|
* if ptr == NULL:
|
|
* return -1
|
|
*/
|
|
__pyx_v_ptr = realloc(__pyx_v_self->nodes, (__pyx_v_capacity * (sizeof(struct __pyx_t_7sklearn_4tree_5_tree_Node))));
|
|
|
|
/* "sklearn/tree/_tree.pyx":673
|
|
* # XXX no safe_realloc here because we need to grab the GIL
|
|
* cdef void* ptr = realloc(self.nodes, capacity * sizeof(Node))
|
|
* if ptr == NULL: # <<<<<<<<<<<<<<
|
|
* return -1
|
|
* self.nodes = <Node*> ptr
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_ptr == NULL) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":674
|
|
* cdef void* ptr = realloc(self.nodes, capacity * sizeof(Node))
|
|
* if ptr == NULL:
|
|
* return -1 # <<<<<<<<<<<<<<
|
|
* self.nodes = <Node*> ptr
|
|
* ptr = realloc(self.value,
|
|
*/
|
|
__pyx_r = -1;
|
|
goto __pyx_L0;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":675
|
|
* if ptr == NULL:
|
|
* return -1
|
|
* self.nodes = <Node*> ptr # <<<<<<<<<<<<<<
|
|
* ptr = realloc(self.value,
|
|
* capacity * self.value_stride * sizeof(double))
|
|
*/
|
|
__pyx_v_self->nodes = ((struct __pyx_t_7sklearn_4tree_5_tree_Node *)__pyx_v_ptr);
|
|
|
|
/* "sklearn/tree/_tree.pyx":676
|
|
* return -1
|
|
* self.nodes = <Node*> ptr
|
|
* ptr = realloc(self.value, # <<<<<<<<<<<<<<
|
|
* capacity * self.value_stride * sizeof(double))
|
|
* if ptr == NULL:
|
|
*/
|
|
__pyx_v_ptr = realloc(__pyx_v_self->value, ((__pyx_v_capacity * __pyx_v_self->value_stride) * (sizeof(double))));
|
|
|
|
/* "sklearn/tree/_tree.pyx":678
|
|
* ptr = realloc(self.value,
|
|
* capacity * self.value_stride * sizeof(double))
|
|
* if ptr == NULL: # <<<<<<<<<<<<<<
|
|
* return -1
|
|
* self.value = <double*> ptr
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_ptr == NULL) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":679
|
|
* capacity * self.value_stride * sizeof(double))
|
|
* if ptr == NULL:
|
|
* return -1 # <<<<<<<<<<<<<<
|
|
* self.value = <double*> ptr
|
|
*
|
|
*/
|
|
__pyx_r = -1;
|
|
goto __pyx_L0;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":680
|
|
* if ptr == NULL:
|
|
* return -1
|
|
* self.value = <double*> ptr # <<<<<<<<<<<<<<
|
|
*
|
|
* # value memory is initialised to 0 to enable classifier argmax
|
|
*/
|
|
__pyx_v_self->value = ((double *)__pyx_v_ptr);
|
|
|
|
/* "sklearn/tree/_tree.pyx":683
|
|
*
|
|
* # value memory is initialised to 0 to enable classifier argmax
|
|
* if capacity > self.capacity: # <<<<<<<<<<<<<<
|
|
* memset(<void*>(self.value + self.capacity * self.value_stride), 0,
|
|
* (capacity - self.capacity) * self.value_stride *
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_capacity > __pyx_v_self->capacity) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":684
|
|
* # value memory is initialised to 0 to enable classifier argmax
|
|
* if capacity > self.capacity:
|
|
* memset(<void*>(self.value + self.capacity * self.value_stride), 0, # <<<<<<<<<<<<<<
|
|
* (capacity - self.capacity) * self.value_stride *
|
|
* sizeof(double))
|
|
*/
|
|
memset(((void *)(__pyx_v_self->value + (__pyx_v_self->capacity * __pyx_v_self->value_stride))), 0, (((__pyx_v_capacity - __pyx_v_self->capacity) * __pyx_v_self->value_stride) * (sizeof(double))));
|
|
goto __pyx_L10;
|
|
}
|
|
__pyx_L10:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":689
|
|
*
|
|
* # if capacity smaller than node_count, adjust the counter
|
|
* if capacity < self.node_count: # <<<<<<<<<<<<<<
|
|
* self.node_count = capacity
|
|
*
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_capacity < __pyx_v_self->node_count) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":690
|
|
* # if capacity smaller than node_count, adjust the counter
|
|
* if capacity < self.node_count:
|
|
* self.node_count = capacity # <<<<<<<<<<<<<<
|
|
*
|
|
* self.capacity = capacity
|
|
*/
|
|
__pyx_v_self->node_count = __pyx_v_capacity;
|
|
goto __pyx_L11;
|
|
}
|
|
__pyx_L11:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":692
|
|
* self.node_count = capacity
|
|
*
|
|
* self.capacity = capacity # <<<<<<<<<<<<<<
|
|
* return 0
|
|
*
|
|
*/
|
|
__pyx_v_self->capacity = __pyx_v_capacity;
|
|
|
|
/* "sklearn/tree/_tree.pyx":693
|
|
*
|
|
* self.capacity = capacity
|
|
* return 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef SIZE_t _add_node(self, SIZE_t parent, bint is_left, bint is_leaf,
|
|
*/
|
|
__pyx_r = 0;
|
|
goto __pyx_L0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":660
|
|
* # XXX using (size_t)(-1) is ugly, but SIZE_MAX is not available in C89
|
|
* # (i.e., older MSVC).
|
|
* cdef int _resize_c(self, SIZE_t capacity=<SIZE_t>(-1)) nogil: # <<<<<<<<<<<<<<
|
|
* """Guts of _resize. Returns 0 for success, -1 for error."""
|
|
* if capacity == self.capacity and self.nodes != NULL:
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L0:;
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":695
|
|
* return 0
|
|
*
|
|
* cdef SIZE_t _add_node(self, SIZE_t parent, bint is_left, bint is_leaf, # <<<<<<<<<<<<<<
|
|
* SIZE_t feature, double threshold, double impurity,
|
|
* SIZE_t n_node_samples, double weighted_n_node_samples) nogil:
|
|
*/
|
|
|
|
static __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_f_7sklearn_4tree_5_tree_4Tree__add_node(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_parent, int __pyx_v_is_left, int __pyx_v_is_leaf, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_feature, double __pyx_v_threshold, double __pyx_v_impurity, __pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_n_node_samples, double __pyx_v_weighted_n_node_samples) {
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_v_node_id;
|
|
struct __pyx_t_7sklearn_4tree_5_tree_Node *__pyx_v_node;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_r;
|
|
__pyx_t_7sklearn_4tree_5_tree_SIZE_t __pyx_t_1;
|
|
int __pyx_t_2;
|
|
|
|
/* "sklearn/tree/_tree.pyx":704
|
|
* Returns (size_t)(-1) on error.
|
|
* """
|
|
* cdef SIZE_t node_id = self.node_count # <<<<<<<<<<<<<<
|
|
*
|
|
* if node_id >= self.capacity:
|
|
*/
|
|
__pyx_t_1 = __pyx_v_self->node_count;
|
|
__pyx_v_node_id = __pyx_t_1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":706
|
|
* cdef SIZE_t node_id = self.node_count
|
|
*
|
|
* if node_id >= self.capacity: # <<<<<<<<<<<<<<
|
|
* if self._resize_c() != 0:
|
|
* return <SIZE_t>(-1)
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_node_id >= __pyx_v_self->capacity) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":707
|
|
*
|
|
* if node_id >= self.capacity:
|
|
* if self._resize_c() != 0: # <<<<<<<<<<<<<<
|
|
* return <SIZE_t>(-1)
|
|
*
|
|
*/
|
|
__pyx_t_2 = ((((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_self->__pyx_vtab)->_resize_c(__pyx_v_self, NULL) != 0) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":708
|
|
* if node_id >= self.capacity:
|
|
* if self._resize_c() != 0:
|
|
* return <SIZE_t>(-1) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef Node* node = &self.nodes[node_id]
|
|
*/
|
|
__pyx_r = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)-1);
|
|
goto __pyx_L0;
|
|
}
|
|
goto __pyx_L3;
|
|
}
|
|
__pyx_L3:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":710
|
|
* return <SIZE_t>(-1)
|
|
*
|
|
* cdef Node* node = &self.nodes[node_id] # <<<<<<<<<<<<<<
|
|
* node.impurity = impurity
|
|
* node.n_node_samples = n_node_samples
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node_id]));
|
|
|
|
/* "sklearn/tree/_tree.pyx":711
|
|
*
|
|
* cdef Node* node = &self.nodes[node_id]
|
|
* node.impurity = impurity # <<<<<<<<<<<<<<
|
|
* node.n_node_samples = n_node_samples
|
|
* node.weighted_n_node_samples = weighted_n_node_samples
|
|
*/
|
|
__pyx_v_node->impurity = __pyx_v_impurity;
|
|
|
|
/* "sklearn/tree/_tree.pyx":712
|
|
* cdef Node* node = &self.nodes[node_id]
|
|
* node.impurity = impurity
|
|
* node.n_node_samples = n_node_samples # <<<<<<<<<<<<<<
|
|
* node.weighted_n_node_samples = weighted_n_node_samples
|
|
*
|
|
*/
|
|
__pyx_v_node->n_node_samples = __pyx_v_n_node_samples;
|
|
|
|
/* "sklearn/tree/_tree.pyx":713
|
|
* node.impurity = impurity
|
|
* node.n_node_samples = n_node_samples
|
|
* node.weighted_n_node_samples = weighted_n_node_samples # <<<<<<<<<<<<<<
|
|
*
|
|
* if parent != _TREE_UNDEFINED:
|
|
*/
|
|
__pyx_v_node->weighted_n_node_samples = __pyx_v_weighted_n_node_samples;
|
|
|
|
/* "sklearn/tree/_tree.pyx":715
|
|
* node.weighted_n_node_samples = weighted_n_node_samples
|
|
*
|
|
* if parent != _TREE_UNDEFINED: # <<<<<<<<<<<<<<
|
|
* if is_left:
|
|
* self.nodes[parent].left_child = node_id
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_parent != __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":716
|
|
*
|
|
* if parent != _TREE_UNDEFINED:
|
|
* if is_left: # <<<<<<<<<<<<<<
|
|
* self.nodes[parent].left_child = node_id
|
|
* else:
|
|
*/
|
|
__pyx_t_2 = (__pyx_v_is_left != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":717
|
|
* if parent != _TREE_UNDEFINED:
|
|
* if is_left:
|
|
* self.nodes[parent].left_child = node_id # <<<<<<<<<<<<<<
|
|
* else:
|
|
* self.nodes[parent].right_child = node_id
|
|
*/
|
|
(__pyx_v_self->nodes[__pyx_v_parent]).left_child = __pyx_v_node_id;
|
|
goto __pyx_L6;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":719
|
|
* self.nodes[parent].left_child = node_id
|
|
* else:
|
|
* self.nodes[parent].right_child = node_id # <<<<<<<<<<<<<<
|
|
*
|
|
* if is_leaf:
|
|
*/
|
|
(__pyx_v_self->nodes[__pyx_v_parent]).right_child = __pyx_v_node_id;
|
|
}
|
|
__pyx_L6:;
|
|
goto __pyx_L5;
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":721
|
|
* self.nodes[parent].right_child = node_id
|
|
*
|
|
* if is_leaf: # <<<<<<<<<<<<<<
|
|
* node.left_child = _TREE_LEAF
|
|
* node.right_child = _TREE_LEAF
|
|
*/
|
|
__pyx_t_2 = (__pyx_v_is_leaf != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":722
|
|
*
|
|
* if is_leaf:
|
|
* node.left_child = _TREE_LEAF # <<<<<<<<<<<<<<
|
|
* node.right_child = _TREE_LEAF
|
|
* node.feature = _TREE_UNDEFINED
|
|
*/
|
|
__pyx_v_node->left_child = __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF;
|
|
|
|
/* "sklearn/tree/_tree.pyx":723
|
|
* if is_leaf:
|
|
* node.left_child = _TREE_LEAF
|
|
* node.right_child = _TREE_LEAF # <<<<<<<<<<<<<<
|
|
* node.feature = _TREE_UNDEFINED
|
|
* node.threshold = _TREE_UNDEFINED
|
|
*/
|
|
__pyx_v_node->right_child = __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF;
|
|
|
|
/* "sklearn/tree/_tree.pyx":724
|
|
* node.left_child = _TREE_LEAF
|
|
* node.right_child = _TREE_LEAF
|
|
* node.feature = _TREE_UNDEFINED # <<<<<<<<<<<<<<
|
|
* node.threshold = _TREE_UNDEFINED
|
|
*
|
|
*/
|
|
__pyx_v_node->feature = __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED;
|
|
|
|
/* "sklearn/tree/_tree.pyx":725
|
|
* node.right_child = _TREE_LEAF
|
|
* node.feature = _TREE_UNDEFINED
|
|
* node.threshold = _TREE_UNDEFINED # <<<<<<<<<<<<<<
|
|
*
|
|
* else:
|
|
*/
|
|
__pyx_v_node->threshold = __pyx_v_7sklearn_4tree_5_tree__TREE_UNDEFINED;
|
|
goto __pyx_L7;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":729
|
|
* else:
|
|
* # left_child and right_child will be set later
|
|
* node.feature = feature # <<<<<<<<<<<<<<
|
|
* node.threshold = threshold
|
|
*
|
|
*/
|
|
__pyx_v_node->feature = __pyx_v_feature;
|
|
|
|
/* "sklearn/tree/_tree.pyx":730
|
|
* # left_child and right_child will be set later
|
|
* node.feature = feature
|
|
* node.threshold = threshold # <<<<<<<<<<<<<<
|
|
*
|
|
* self.node_count += 1
|
|
*/
|
|
__pyx_v_node->threshold = __pyx_v_threshold;
|
|
}
|
|
__pyx_L7:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":732
|
|
* node.threshold = threshold
|
|
*
|
|
* self.node_count += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* return node_id
|
|
*/
|
|
__pyx_v_self->node_count = (__pyx_v_self->node_count + 1);
|
|
|
|
/* "sklearn/tree/_tree.pyx":734
|
|
* self.node_count += 1
|
|
*
|
|
* return node_id # <<<<<<<<<<<<<<
|
|
*
|
|
* cpdef np.ndarray predict(self, object X):
|
|
*/
|
|
__pyx_r = __pyx_v_node_id;
|
|
goto __pyx_L0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":695
|
|
* return 0
|
|
*
|
|
* cdef SIZE_t _add_node(self, SIZE_t parent, bint is_left, bint is_leaf, # <<<<<<<<<<<<<<
|
|
* SIZE_t feature, double threshold, double impurity,
|
|
* SIZE_t n_node_samples, double weighted_n_node_samples) nogil:
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L0:;
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":736
|
|
* return node_id
|
|
*
|
|
* cpdef np.ndarray predict(self, object X): # <<<<<<<<<<<<<<
|
|
* """Predict target for X."""
|
|
* out = self._get_value_ndarray().take(self.apply(X), axis=0,
|
|
*/
|
|
|
|
static PyObject *__pyx_pw_7sklearn_4tree_5_tree_4Tree_11predict(PyObject *__pyx_v_self, PyObject *__pyx_v_X); /*proto*/
|
|
static PyArrayObject *__pyx_f_7sklearn_4tree_5_tree_4Tree_predict(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_X, int __pyx_skip_dispatch) {
|
|
PyObject *__pyx_v_out = NULL;
|
|
PyArrayObject *__pyx_r = NULL;
|
|
__Pyx_RefNannyDeclarations
|
|
PyObject *__pyx_t_1 = NULL;
|
|
PyObject *__pyx_t_2 = NULL;
|
|
PyObject *__pyx_t_3 = NULL;
|
|
PyObject *__pyx_t_4 = NULL;
|
|
PyObject *__pyx_t_5 = NULL;
|
|
int __pyx_t_6;
|
|
Py_ssize_t __pyx_t_7;
|
|
PyObject *__pyx_t_8 = NULL;
|
|
int __pyx_lineno = 0;
|
|
const char *__pyx_filename = NULL;
|
|
int __pyx_clineno = 0;
|
|
__Pyx_RefNannySetupContext("predict", 0);
|
|
/* Check if called by wrapper */
|
|
if (unlikely(__pyx_skip_dispatch)) ;
|
|
/* Check if overridden in Python */
|
|
else if (unlikely(Py_TYPE(((PyObject *)__pyx_v_self))->tp_dictoffset != 0)) {
|
|
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s_predict); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 736; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
if (!PyCFunction_Check(__pyx_t_1) || (PyCFunction_GET_FUNCTION(__pyx_t_1) != (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_11predict)) {
|
|
__Pyx_XDECREF(((PyObject *)__pyx_r));
|
|
__Pyx_INCREF(__pyx_t_1);
|
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|
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|
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|
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__Pyx_INCREF(__pyx_t_4);
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__Pyx_INCREF(function);
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
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}
|
|
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/* "sklearn/tree/_tree.pyx":738
|
|
* cpdef np.ndarray predict(self, object X):
|
|
* """Predict target for X."""
|
|
* out = self._get_value_ndarray().take(self.apply(X), axis=0, # <<<<<<<<<<<<<<
|
|
* mode='clip')
|
|
* if self.n_outputs == 1:
|
|
*/
|
|
__pyx_t_1 = ((PyObject *)((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *)__pyx_v_self->__pyx_vtab)->_get_value_ndarray(__pyx_v_self)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 738; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
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__pyx_t_4 = __Pyx_PyInt_From_Py_intptr_t(__pyx_v_n_samples); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_4);
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__pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_GIVEREF(__pyx_t_4);
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PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_4);
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__pyx_t_4 = 0;
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__pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_GIVEREF(__pyx_t_1);
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PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1);
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__pyx_t_1 = 0;
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__pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_1);
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/* "sklearn/tree/_tree.pyx":818
|
|
* # Initialize output
|
|
* cdef np.ndarray[SIZE_t, ndim=1] out = np.zeros((n_samples,),
|
|
* dtype=np.intp) # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t* out_ptr = <SIZE_t*> out.data
|
|
*
|
|
*/
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__pyx_t_10 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_10);
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__pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_intp); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 818; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_11);
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_dtype, __pyx_t_11) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
|
|
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/* "sklearn/tree/_tree.pyx":817
|
|
*
|
|
* # Initialize output
|
|
* cdef np.ndarray[SIZE_t, ndim=1] out = np.zeros((n_samples,), # <<<<<<<<<<<<<<
|
|
* dtype=np.intp)
|
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* cdef SIZE_t* out_ptr = <SIZE_t*> out.data
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*/
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__pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_11);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_12 = ((PyArrayObject *)__pyx_t_11);
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{
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__Pyx_BufFmt_StackElem __pyx_stack[1];
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if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_out.rcbuffer->pybuffer, (PyObject*)__pyx_t_12, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_4tree_5_tree_SIZE_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
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__pyx_v_out = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_out.rcbuffer->pybuffer.buf = NULL;
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{__pyx_filename = __pyx_f[0]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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} else {__pyx_pybuffernd_out.diminfo[0].strides = __pyx_pybuffernd_out.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_out.diminfo[0].shape = __pyx_pybuffernd_out.rcbuffer->pybuffer.shape[0];
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}
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__pyx_t_11 = 0;
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/* "sklearn/tree/_tree.pyx":819
|
|
* cdef np.ndarray[SIZE_t, ndim=1] out = np.zeros((n_samples,),
|
|
* dtype=np.intp)
|
|
* cdef SIZE_t* out_ptr = <SIZE_t*> out.data # <<<<<<<<<<<<<<
|
|
*
|
|
* # Initialize auxiliary data-structure
|
|
*/
|
|
__pyx_v_out_ptr = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t *)__pyx_v_out->data);
|
|
|
|
/* "sklearn/tree/_tree.pyx":822
|
|
*
|
|
* # Initialize auxiliary data-structure
|
|
* cdef DTYPE_t feature_value = 0. # <<<<<<<<<<<<<<
|
|
* cdef Node* node = NULL
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
*/
|
|
__pyx_v_feature_value = 0.;
|
|
|
|
/* "sklearn/tree/_tree.pyx":823
|
|
* # Initialize auxiliary data-structure
|
|
* cdef DTYPE_t feature_value = 0.
|
|
* cdef Node* node = NULL # <<<<<<<<<<<<<<
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
* cdef SIZE_t i = 0
|
|
*/
|
|
__pyx_v_node = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":824
|
|
* cdef DTYPE_t feature_value = 0.
|
|
* cdef Node* node = NULL
|
|
* cdef DTYPE_t* X_sample = NULL # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t i = 0
|
|
* cdef INT32_t k = 0
|
|
*/
|
|
__pyx_v_X_sample = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":825
|
|
* cdef Node* node = NULL
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
* cdef SIZE_t i = 0 # <<<<<<<<<<<<<<
|
|
* cdef INT32_t k = 0
|
|
*
|
|
*/
|
|
__pyx_v_i = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":826
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
* cdef SIZE_t i = 0
|
|
* cdef INT32_t k = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* # feature_to_sample as a data structure records the last seen sample
|
|
*/
|
|
__pyx_v_k = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":831
|
|
* # for each feature; functionally, it is an efficient way to identify
|
|
* # which features are nonzero in the present sample.
|
|
* cdef SIZE_t* feature_to_sample = NULL # <<<<<<<<<<<<<<
|
|
*
|
|
* safe_realloc(&X_sample, n_features * sizeof(DTYPE_t))
|
|
*/
|
|
__pyx_v_feature_to_sample = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":833
|
|
* cdef SIZE_t* feature_to_sample = NULL
|
|
*
|
|
* safe_realloc(&X_sample, n_features * sizeof(DTYPE_t)) # <<<<<<<<<<<<<<
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t))
|
|
*
|
|
*/
|
|
__pyx_fuse_0__pyx_f_7sklearn_4tree_6_utils_safe_realloc((&__pyx_v_X_sample), (__pyx_v_n_features * (sizeof(__pyx_t_7sklearn_4tree_5_tree_DTYPE_t)))); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":834
|
|
*
|
|
* safe_realloc(&X_sample, n_features * sizeof(DTYPE_t))
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t)) # <<<<<<<<<<<<<<
|
|
*
|
|
* with nogil:
|
|
*/
|
|
__pyx_fuse_1__pyx_f_7sklearn_4tree_6_utils_safe_realloc((&__pyx_v_feature_to_sample), (__pyx_v_n_features * (sizeof(__pyx_t_7sklearn_4tree_5_tree_SIZE_t)))); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":836
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t))
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t))
|
|
*
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":837
|
|
*
|
|
* with nogil:
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t)) # <<<<<<<<<<<<<<
|
|
*
|
|
* for i in range(n_samples):
|
|
*/
|
|
memset(__pyx_v_feature_to_sample, -1, (__pyx_v_n_features * (sizeof(__pyx_t_7sklearn_4tree_5_tree_SIZE_t))));
|
|
|
|
/* "sklearn/tree/_tree.pyx":839
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t))
|
|
*
|
|
* for i in range(n_samples): # <<<<<<<<<<<<<<
|
|
* node = self.nodes
|
|
*
|
|
*/
|
|
__pyx_t_9 = __pyx_v_n_samples;
|
|
for (__pyx_t_13 = 0; __pyx_t_13 < __pyx_t_9; __pyx_t_13+=1) {
|
|
__pyx_v_i = __pyx_t_13;
|
|
|
|
/* "sklearn/tree/_tree.pyx":840
|
|
*
|
|
* for i in range(n_samples):
|
|
* node = self.nodes # <<<<<<<<<<<<<<
|
|
*
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]):
|
|
*/
|
|
__pyx_t_14 = __pyx_v_self->nodes;
|
|
__pyx_v_node = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":842
|
|
* node = self.nodes
|
|
*
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]): # <<<<<<<<<<<<<<
|
|
* feature_to_sample[X_indices[k]] = i
|
|
* X_sample[X_indices[k]] = X_data[k]
|
|
*/
|
|
__pyx_t_15 = (__pyx_v_X_indptr[(__pyx_v_i + 1)]);
|
|
for (__pyx_t_16 = (__pyx_v_X_indptr[__pyx_v_i]); __pyx_t_16 < __pyx_t_15; __pyx_t_16+=1) {
|
|
__pyx_v_k = __pyx_t_16;
|
|
|
|
/* "sklearn/tree/_tree.pyx":843
|
|
*
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]):
|
|
* feature_to_sample[X_indices[k]] = i # <<<<<<<<<<<<<<
|
|
* X_sample[X_indices[k]] = X_data[k]
|
|
*
|
|
*/
|
|
(__pyx_v_feature_to_sample[(__pyx_v_X_indices[__pyx_v_k])]) = __pyx_v_i;
|
|
|
|
/* "sklearn/tree/_tree.pyx":844
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]):
|
|
* feature_to_sample[X_indices[k]] = i
|
|
* X_sample[X_indices[k]] = X_data[k] # <<<<<<<<<<<<<<
|
|
*
|
|
* # While node not a leaf
|
|
*/
|
|
(__pyx_v_X_sample[(__pyx_v_X_indices[__pyx_v_k])]) = (__pyx_v_X_data[__pyx_v_k]);
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":847
|
|
*
|
|
* # While node not a leaf
|
|
* while node.left_child != _TREE_LEAF: # <<<<<<<<<<<<<<
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
* if feature_to_sample[node.feature] == i:
|
|
*/
|
|
while (1) {
|
|
__pyx_t_3 = ((__pyx_v_node->left_child != __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF) != 0);
|
|
if (!__pyx_t_3) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":849
|
|
* while node.left_child != _TREE_LEAF:
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
* if feature_to_sample[node.feature] == i: # <<<<<<<<<<<<<<
|
|
* feature_value = X_sample[node.feature]
|
|
*
|
|
*/
|
|
__pyx_t_3 = (((__pyx_v_feature_to_sample[__pyx_v_node->feature]) == __pyx_v_i) != 0);
|
|
if (__pyx_t_3) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":850
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
* if feature_to_sample[node.feature] == i:
|
|
* feature_value = X_sample[node.feature] # <<<<<<<<<<<<<<
|
|
*
|
|
* else:
|
|
*/
|
|
__pyx_v_feature_value = (__pyx_v_X_sample[__pyx_v_node->feature]);
|
|
goto __pyx_L14;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":853
|
|
*
|
|
* else:
|
|
* feature_value = 0. # <<<<<<<<<<<<<<
|
|
*
|
|
* if feature_value <= node.threshold:
|
|
*/
|
|
__pyx_v_feature_value = 0.;
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":855
|
|
* feature_value = 0.
|
|
*
|
|
* if feature_value <= node.threshold: # <<<<<<<<<<<<<<
|
|
* node = &self.nodes[node.left_child]
|
|
* else:
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_feature_value <= __pyx_v_node->threshold) != 0);
|
|
if (__pyx_t_3) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":856
|
|
*
|
|
* if feature_value <= node.threshold:
|
|
* node = &self.nodes[node.left_child] # <<<<<<<<<<<<<<
|
|
* else:
|
|
* node = &self.nodes[node.right_child]
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node->left_child]));
|
|
goto __pyx_L15;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":858
|
|
* node = &self.nodes[node.left_child]
|
|
* else:
|
|
* node = &self.nodes[node.right_child] # <<<<<<<<<<<<<<
|
|
*
|
|
* out_ptr[i] = <SIZE_t>(node - self.nodes) # node offset
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node->right_child]));
|
|
}
|
|
__pyx_L15:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":860
|
|
* node = &self.nodes[node.right_child]
|
|
*
|
|
* out_ptr[i] = <SIZE_t>(node - self.nodes) # node offset # <<<<<<<<<<<<<<
|
|
*
|
|
* # Free auxiliary arrays
|
|
*/
|
|
(__pyx_v_out_ptr[__pyx_v_i]) = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)(__pyx_v_node - __pyx_v_self->nodes));
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":863
|
|
*
|
|
* # Free auxiliary arrays
|
|
* free(X_sample) # <<<<<<<<<<<<<<
|
|
* free(feature_to_sample)
|
|
*
|
|
*/
|
|
free(__pyx_v_X_sample);
|
|
|
|
/* "sklearn/tree/_tree.pyx":864
|
|
* # Free auxiliary arrays
|
|
* free(X_sample)
|
|
* free(feature_to_sample) # <<<<<<<<<<<<<<
|
|
*
|
|
* return out
|
|
*/
|
|
free(__pyx_v_feature_to_sample);
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":836
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t))
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t))
|
|
*
|
|
*/
|
|
/*finally:*/ {
|
|
/*normal exit:*/{
|
|
#ifdef WITH_THREAD
|
|
Py_BLOCK_THREADS
|
|
#endif
|
|
goto __pyx_L7;
|
|
}
|
|
__pyx_L7:;
|
|
}
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":866
|
|
* free(feature_to_sample)
|
|
*
|
|
* return out # <<<<<<<<<<<<<<
|
|
*
|
|
* cpdef object decision_path(self, object X):
|
|
*/
|
|
__Pyx_XDECREF(((PyObject *)__pyx_r));
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_out));
|
|
__pyx_r = ((PyArrayObject *)__pyx_v_out);
|
|
goto __pyx_L0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":793
|
|
* return out
|
|
*
|
|
* cdef inline np.ndarray _apply_sparse_csr(self, object X): # <<<<<<<<<<<<<<
|
|
* """Finds the terminal region (=leaf node) for each sample in sparse X.
|
|
* """
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_4);
|
|
__Pyx_XDECREF(__pyx_t_5);
|
|
__Pyx_XDECREF(__pyx_t_10);
|
|
__Pyx_XDECREF(__pyx_t_11);
|
|
{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
|
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__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
|
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__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_data_ndarray.rcbuffer->pybuffer);
|
|
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indices_ndarray.rcbuffer->pybuffer);
|
|
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indptr_ndarray.rcbuffer->pybuffer);
|
|
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_out.rcbuffer->pybuffer);
|
|
__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
|
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__Pyx_AddTraceback("sklearn.tree._tree.Tree._apply_sparse_csr", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
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|
|
goto __pyx_L2;
|
|
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* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples * # <<<<<<<<<<<<<<
|
|
* (1 + self.max_depth),
|
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* dtype=np.intp)
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*/
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* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples *
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* (1 + self.max_depth),
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* dtype=np.intp) # <<<<<<<<<<<<<<
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* cdef SIZE_t* indices_ptr = <SIZE_t*> indices.data
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*
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*/
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* cdef SIZE_t* indptr_ptr = <SIZE_t*> indptr.data
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*
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* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples * # <<<<<<<<<<<<<<
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/* "sklearn/tree/_tree.pyx":900
|
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* (1 + self.max_depth),
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* cdef SIZE_t* indices_ptr = <SIZE_t*> indices.data # <<<<<<<<<<<<<<
|
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*
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*/
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__pyx_v_indices_ptr = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t *)__pyx_v_indices->data);
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/* "sklearn/tree/_tree.pyx":903
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*
|
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* # Initialize auxiliary data-structure
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* cdef Node* node = NULL # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t i = 0
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*
|
|
*/
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__pyx_v_node = NULL;
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/* "sklearn/tree/_tree.pyx":904
|
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* # Initialize auxiliary data-structure
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* cdef Node* node = NULL
|
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* cdef SIZE_t i = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* with nogil:
|
|
*/
|
|
__pyx_v_i = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":906
|
|
* cdef SIZE_t i = 0
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* for i in range(n_samples):
|
|
* node = self.nodes
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":907
|
|
*
|
|
* with nogil:
|
|
* for i in range(n_samples): # <<<<<<<<<<<<<<
|
|
* node = self.nodes
|
|
* indptr_ptr[i + 1] = indptr_ptr[i]
|
|
*/
|
|
__pyx_t_6 = __pyx_v_n_samples;
|
|
for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
|
|
__pyx_v_i = __pyx_t_7;
|
|
|
|
/* "sklearn/tree/_tree.pyx":908
|
|
* with nogil:
|
|
* for i in range(n_samples):
|
|
* node = self.nodes # <<<<<<<<<<<<<<
|
|
* indptr_ptr[i + 1] = indptr_ptr[i]
|
|
*
|
|
*/
|
|
__pyx_t_12 = __pyx_v_self->nodes;
|
|
__pyx_v_node = __pyx_t_12;
|
|
|
|
/* "sklearn/tree/_tree.pyx":909
|
|
* for i in range(n_samples):
|
|
* node = self.nodes
|
|
* indptr_ptr[i + 1] = indptr_ptr[i] # <<<<<<<<<<<<<<
|
|
*
|
|
* # Add all external nodes
|
|
*/
|
|
(__pyx_v_indptr_ptr[(__pyx_v_i + 1)]) = (__pyx_v_indptr_ptr[__pyx_v_i]);
|
|
|
|
/* "sklearn/tree/_tree.pyx":912
|
|
*
|
|
* # Add all external nodes
|
|
* while node.left_child != _TREE_LEAF: # <<<<<<<<<<<<<<
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes)
|
|
*/
|
|
while (1) {
|
|
__pyx_t_2 = ((__pyx_v_node->left_child != __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF) != 0);
|
|
if (!__pyx_t_2) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":914
|
|
* while node.left_child != _TREE_LEAF:
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes) # <<<<<<<<<<<<<<
|
|
* indptr_ptr[i + 1] += 1
|
|
*
|
|
*/
|
|
(__pyx_v_indices_ptr[(__pyx_v_indptr_ptr[(__pyx_v_i + 1)])]) = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)(__pyx_v_node - __pyx_v_self->nodes));
|
|
|
|
/* "sklearn/tree/_tree.pyx":915
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes)
|
|
* indptr_ptr[i + 1] += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* if X_ptr[X_sample_stride * i +
|
|
*/
|
|
__pyx_t_13 = (__pyx_v_i + 1);
|
|
(__pyx_v_indptr_ptr[__pyx_t_13]) = ((__pyx_v_indptr_ptr[__pyx_t_13]) + 1);
|
|
|
|
/* "sklearn/tree/_tree.pyx":918
|
|
*
|
|
* if X_ptr[X_sample_stride * i +
|
|
* X_fx_stride * node.feature] <= node.threshold: # <<<<<<<<<<<<<<
|
|
* node = &self.nodes[node.left_child]
|
|
* else:
|
|
*/
|
|
__pyx_t_2 = (((__pyx_v_X_ptr[((__pyx_v_X_sample_stride * __pyx_v_i) + (__pyx_v_X_fx_stride * __pyx_v_node->feature))]) <= __pyx_v_node->threshold) != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":919
|
|
* if X_ptr[X_sample_stride * i +
|
|
* X_fx_stride * node.feature] <= node.threshold:
|
|
* node = &self.nodes[node.left_child] # <<<<<<<<<<<<<<
|
|
* else:
|
|
* node = &self.nodes[node.right_child]
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node->left_child]));
|
|
goto __pyx_L12;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":921
|
|
* node = &self.nodes[node.left_child]
|
|
* else:
|
|
* node = &self.nodes[node.right_child] # <<<<<<<<<<<<<<
|
|
*
|
|
* # Add the leave node
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node->right_child]));
|
|
}
|
|
__pyx_L12:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":924
|
|
*
|
|
* # Add the leave node
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes) # <<<<<<<<<<<<<<
|
|
* indptr_ptr[i + 1] += 1
|
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*
|
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*/
|
|
(__pyx_v_indices_ptr[(__pyx_v_indptr_ptr[(__pyx_v_i + 1)])]) = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)(__pyx_v_node - __pyx_v_self->nodes));
|
|
|
|
/* "sklearn/tree/_tree.pyx":925
|
|
* # Add the leave node
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes)
|
|
* indptr_ptr[i + 1] += 1 # <<<<<<<<<<<<<<
|
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*
|
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* indices = indices[:indptr[n_samples]]
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*/
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__pyx_t_13 = (__pyx_v_i + 1);
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(__pyx_v_indptr_ptr[__pyx_t_13]) = ((__pyx_v_indptr_ptr[__pyx_t_13]) + 1);
|
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}
|
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}
|
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/* "sklearn/tree/_tree.pyx":906
|
|
* cdef SIZE_t i = 0
|
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*
|
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* with nogil: # <<<<<<<<<<<<<<
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* for i in range(n_samples):
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* node = self.nodes
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*/
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#ifdef WITH_THREAD
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Py_BLOCK_THREADS
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#endif
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goto __pyx_L7;
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|
}
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__pyx_L7:;
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}
|
|
}
|
|
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/* "sklearn/tree/_tree.pyx":927
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* indptr_ptr[i + 1] += 1
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*
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* indices = indices[:indptr[n_samples]] # <<<<<<<<<<<<<<
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* cdef np.ndarray[SIZE_t] data = np.ones(shape=len(indices),
|
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* dtype=np.intp)
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*/
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__pyx_t_6 = __pyx_v_n_samples;
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__pyx_t_8 = __Pyx_PyObject_GetSlice(((PyObject *)__pyx_v_indices), 0, (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_4tree_5_tree_SIZE_t *, __pyx_pybuffernd_indptr.rcbuffer->pybuffer.buf, __pyx_t_6, __pyx_pybuffernd_indptr.diminfo[0].strides)), NULL, NULL, NULL, 0, 1, 0); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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{
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__pyx_t_11 = 0;
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__Pyx_DECREF_SET(__pyx_v_indices, ((PyArrayObject *)__pyx_t_8));
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__pyx_t_8 = 0;
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/* "sklearn/tree/_tree.pyx":928
|
|
*
|
|
* indices = indices[:indptr[n_samples]]
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* cdef np.ndarray[SIZE_t] data = np.ones(shape=len(indices), # <<<<<<<<<<<<<<
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* dtype=np.intp)
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__Pyx_GOTREF(__pyx_t_9);
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__pyx_t_8 = PyDict_New(); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_t_18 = PyObject_Length(((PyObject *)__pyx_v_indices)); if (unlikely(__pyx_t_18 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_shape, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 928; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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/* "sklearn/tree/_tree.pyx":929
|
|
* indices = indices[:indptr[n_samples]]
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* cdef np.ndarray[SIZE_t] data = np.ones(shape=len(indices),
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* dtype=np.intp) # <<<<<<<<<<<<<<
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* out = csr_matrix((data, indices, indptr),
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*/
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__Pyx_GOTREF(__pyx_t_5);
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/* "sklearn/tree/_tree.pyx":928
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*
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* indices = indices[:indptr[n_samples]]
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* cdef np.ndarray[SIZE_t] data = np.ones(shape=len(indices), # <<<<<<<<<<<<<<
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/* "sklearn/tree/_tree.pyx":962
|
|
* cdef SIZE_t* indptr_ptr = <SIZE_t*> indptr.data
|
|
*
|
|
* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples * # <<<<<<<<<<<<<<
|
|
* (1 + self.max_depth),
|
|
* dtype=np.intp)
|
|
*/
|
|
__pyx_t_11 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_11);
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__pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_zeros); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":963
|
|
*
|
|
* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples *
|
|
* (1 + self.max_depth), # <<<<<<<<<<<<<<
|
|
* dtype=np.intp)
|
|
* cdef SIZE_t* indices_ptr = <SIZE_t*> indices.data
|
|
*/
|
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__pyx_t_11 = __Pyx_PyInt_From_long((__pyx_v_n_samples * (1 + __pyx_v_self->max_depth))); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_11);
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/* "sklearn/tree/_tree.pyx":962
|
|
* cdef SIZE_t* indptr_ptr = <SIZE_t*> indptr.data
|
|
*
|
|
* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples * # <<<<<<<<<<<<<<
|
|
* (1 + self.max_depth),
|
|
* dtype=np.intp)
|
|
*/
|
|
__pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_GIVEREF(__pyx_t_11);
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PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_11);
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__pyx_t_11 = 0;
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__pyx_t_11 = PyDict_New(); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_11);
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/* "sklearn/tree/_tree.pyx":964
|
|
* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples *
|
|
* (1 + self.max_depth),
|
|
* dtype=np.intp) # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t* indices_ptr = <SIZE_t*> indices.data
|
|
*
|
|
*/
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__pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 964; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_intp); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 964; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_10);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (PyDict_SetItem(__pyx_t_11, __pyx_n_s_dtype, __pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
|
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|
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/* "sklearn/tree/_tree.pyx":962
|
|
* cdef SIZE_t* indptr_ptr = <SIZE_t*> indptr.data
|
|
*
|
|
* cdef np.ndarray[SIZE_t] indices = np.zeros(n_samples * # <<<<<<<<<<<<<<
|
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* (1 + self.max_depth),
|
|
* dtype=np.intp)
|
|
*/
|
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__pyx_t_10 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_1, __pyx_t_11); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_10);
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
|
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if (!(likely(((__pyx_t_10) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_10, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__pyx_t_13 = ((PyArrayObject *)__pyx_t_10);
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{
|
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__Pyx_BufFmt_StackElem __pyx_stack[1];
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if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_indices.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_4tree_5_tree_SIZE_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
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__pyx_v_indices = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_indices.rcbuffer->pybuffer.buf = NULL;
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{__pyx_filename = __pyx_f[0]; __pyx_lineno = 962; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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} else {__pyx_pybuffernd_indices.diminfo[0].strides = __pyx_pybuffernd_indices.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_indices.diminfo[0].shape = __pyx_pybuffernd_indices.rcbuffer->pybuffer.shape[0];
|
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}
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}
|
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__pyx_t_13 = 0;
|
|
__pyx_v_indices = ((PyArrayObject *)__pyx_t_10);
|
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__pyx_t_10 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":965
|
|
* (1 + self.max_depth),
|
|
* dtype=np.intp)
|
|
* cdef SIZE_t* indices_ptr = <SIZE_t*> indices.data # <<<<<<<<<<<<<<
|
|
*
|
|
* # Initialize auxiliary data-structure
|
|
*/
|
|
__pyx_v_indices_ptr = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t *)__pyx_v_indices->data);
|
|
|
|
/* "sklearn/tree/_tree.pyx":968
|
|
*
|
|
* # Initialize auxiliary data-structure
|
|
* cdef DTYPE_t feature_value = 0. # <<<<<<<<<<<<<<
|
|
* cdef Node* node = NULL
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
*/
|
|
__pyx_v_feature_value = 0.;
|
|
|
|
/* "sklearn/tree/_tree.pyx":969
|
|
* # Initialize auxiliary data-structure
|
|
* cdef DTYPE_t feature_value = 0.
|
|
* cdef Node* node = NULL # <<<<<<<<<<<<<<
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
* cdef SIZE_t i = 0
|
|
*/
|
|
__pyx_v_node = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":970
|
|
* cdef DTYPE_t feature_value = 0.
|
|
* cdef Node* node = NULL
|
|
* cdef DTYPE_t* X_sample = NULL # <<<<<<<<<<<<<<
|
|
* cdef SIZE_t i = 0
|
|
* cdef INT32_t k = 0
|
|
*/
|
|
__pyx_v_X_sample = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":971
|
|
* cdef Node* node = NULL
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
* cdef SIZE_t i = 0 # <<<<<<<<<<<<<<
|
|
* cdef INT32_t k = 0
|
|
*
|
|
*/
|
|
__pyx_v_i = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":972
|
|
* cdef DTYPE_t* X_sample = NULL
|
|
* cdef SIZE_t i = 0
|
|
* cdef INT32_t k = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* # feature_to_sample as a data structure records the last seen sample
|
|
*/
|
|
__pyx_v_k = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":977
|
|
* # for each feature; functionally, it is an efficient way to identify
|
|
* # which features are nonzero in the present sample.
|
|
* cdef SIZE_t* feature_to_sample = NULL # <<<<<<<<<<<<<<
|
|
*
|
|
* safe_realloc(&X_sample, n_features * sizeof(DTYPE_t))
|
|
*/
|
|
__pyx_v_feature_to_sample = NULL;
|
|
|
|
/* "sklearn/tree/_tree.pyx":979
|
|
* cdef SIZE_t* feature_to_sample = NULL
|
|
*
|
|
* safe_realloc(&X_sample, n_features * sizeof(DTYPE_t)) # <<<<<<<<<<<<<<
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t))
|
|
*
|
|
*/
|
|
__pyx_fuse_0__pyx_f_7sklearn_4tree_6_utils_safe_realloc((&__pyx_v_X_sample), (__pyx_v_n_features * (sizeof(__pyx_t_7sklearn_4tree_5_tree_DTYPE_t)))); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 979; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":980
|
|
*
|
|
* safe_realloc(&X_sample, n_features * sizeof(DTYPE_t))
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t)) # <<<<<<<<<<<<<<
|
|
*
|
|
* with nogil:
|
|
*/
|
|
__pyx_fuse_1__pyx_f_7sklearn_4tree_6_utils_safe_realloc((&__pyx_v_feature_to_sample), (__pyx_v_n_features * (sizeof(__pyx_t_7sklearn_4tree_5_tree_SIZE_t)))); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 980; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/tree/_tree.pyx":982
|
|
* safe_realloc(&feature_to_sample, n_features * sizeof(SIZE_t))
|
|
*
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t))
|
|
*
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":983
|
|
*
|
|
* with nogil:
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t)) # <<<<<<<<<<<<<<
|
|
*
|
|
* for i in range(n_samples):
|
|
*/
|
|
memset(__pyx_v_feature_to_sample, -1, (__pyx_v_n_features * (sizeof(__pyx_t_7sklearn_4tree_5_tree_SIZE_t))));
|
|
|
|
/* "sklearn/tree/_tree.pyx":985
|
|
* memset(feature_to_sample, -1, n_features * sizeof(SIZE_t))
|
|
*
|
|
* for i in range(n_samples): # <<<<<<<<<<<<<<
|
|
* node = self.nodes
|
|
* indptr_ptr[i + 1] = indptr_ptr[i]
|
|
*/
|
|
__pyx_t_9 = __pyx_v_n_samples;
|
|
for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_9; __pyx_t_14+=1) {
|
|
__pyx_v_i = __pyx_t_14;
|
|
|
|
/* "sklearn/tree/_tree.pyx":986
|
|
*
|
|
* for i in range(n_samples):
|
|
* node = self.nodes # <<<<<<<<<<<<<<
|
|
* indptr_ptr[i + 1] = indptr_ptr[i]
|
|
*
|
|
*/
|
|
__pyx_t_15 = __pyx_v_self->nodes;
|
|
__pyx_v_node = __pyx_t_15;
|
|
|
|
/* "sklearn/tree/_tree.pyx":987
|
|
* for i in range(n_samples):
|
|
* node = self.nodes
|
|
* indptr_ptr[i + 1] = indptr_ptr[i] # <<<<<<<<<<<<<<
|
|
*
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]):
|
|
*/
|
|
(__pyx_v_indptr_ptr[(__pyx_v_i + 1)]) = (__pyx_v_indptr_ptr[__pyx_v_i]);
|
|
|
|
/* "sklearn/tree/_tree.pyx":989
|
|
* indptr_ptr[i + 1] = indptr_ptr[i]
|
|
*
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]): # <<<<<<<<<<<<<<
|
|
* feature_to_sample[X_indices[k]] = i
|
|
* X_sample[X_indices[k]] = X_data[k]
|
|
*/
|
|
__pyx_t_16 = (__pyx_v_X_indptr[(__pyx_v_i + 1)]);
|
|
for (__pyx_t_17 = (__pyx_v_X_indptr[__pyx_v_i]); __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
|
|
__pyx_v_k = __pyx_t_17;
|
|
|
|
/* "sklearn/tree/_tree.pyx":990
|
|
*
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]):
|
|
* feature_to_sample[X_indices[k]] = i # <<<<<<<<<<<<<<
|
|
* X_sample[X_indices[k]] = X_data[k]
|
|
*
|
|
*/
|
|
(__pyx_v_feature_to_sample[(__pyx_v_X_indices[__pyx_v_k])]) = __pyx_v_i;
|
|
|
|
/* "sklearn/tree/_tree.pyx":991
|
|
* for k in range(X_indptr[i], X_indptr[i + 1]):
|
|
* feature_to_sample[X_indices[k]] = i
|
|
* X_sample[X_indices[k]] = X_data[k] # <<<<<<<<<<<<<<
|
|
*
|
|
* # While node not a leaf
|
|
*/
|
|
(__pyx_v_X_sample[(__pyx_v_X_indices[__pyx_v_k])]) = (__pyx_v_X_data[__pyx_v_k]);
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":994
|
|
*
|
|
* # While node not a leaf
|
|
* while node.left_child != _TREE_LEAF: # <<<<<<<<<<<<<<
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
*
|
|
*/
|
|
while (1) {
|
|
__pyx_t_3 = ((__pyx_v_node->left_child != __pyx_v_7sklearn_4tree_5_tree__TREE_LEAF) != 0);
|
|
if (!__pyx_t_3) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":997
|
|
* # ... and node.right_child != _TREE_LEAF:
|
|
*
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes) # <<<<<<<<<<<<<<
|
|
* indptr_ptr[i + 1] += 1
|
|
*
|
|
*/
|
|
(__pyx_v_indices_ptr[(__pyx_v_indptr_ptr[(__pyx_v_i + 1)])]) = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)(__pyx_v_node - __pyx_v_self->nodes));
|
|
|
|
/* "sklearn/tree/_tree.pyx":998
|
|
*
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes)
|
|
* indptr_ptr[i + 1] += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* if feature_to_sample[node.feature] == i:
|
|
*/
|
|
__pyx_t_18 = (__pyx_v_i + 1);
|
|
(__pyx_v_indptr_ptr[__pyx_t_18]) = ((__pyx_v_indptr_ptr[__pyx_t_18]) + 1);
|
|
|
|
/* "sklearn/tree/_tree.pyx":1000
|
|
* indptr_ptr[i + 1] += 1
|
|
*
|
|
* if feature_to_sample[node.feature] == i: # <<<<<<<<<<<<<<
|
|
* feature_value = X_sample[node.feature]
|
|
*
|
|
*/
|
|
__pyx_t_3 = (((__pyx_v_feature_to_sample[__pyx_v_node->feature]) == __pyx_v_i) != 0);
|
|
if (__pyx_t_3) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":1001
|
|
*
|
|
* if feature_to_sample[node.feature] == i:
|
|
* feature_value = X_sample[node.feature] # <<<<<<<<<<<<<<
|
|
*
|
|
* else:
|
|
*/
|
|
__pyx_v_feature_value = (__pyx_v_X_sample[__pyx_v_node->feature]);
|
|
goto __pyx_L14;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":1004
|
|
*
|
|
* else:
|
|
* feature_value = 0. # <<<<<<<<<<<<<<
|
|
*
|
|
* if feature_value <= node.threshold:
|
|
*/
|
|
__pyx_v_feature_value = 0.;
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":1006
|
|
* feature_value = 0.
|
|
*
|
|
* if feature_value <= node.threshold: # <<<<<<<<<<<<<<
|
|
* node = &self.nodes[node.left_child]
|
|
* else:
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_feature_value <= __pyx_v_node->threshold) != 0);
|
|
if (__pyx_t_3) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":1007
|
|
*
|
|
* if feature_value <= node.threshold:
|
|
* node = &self.nodes[node.left_child] # <<<<<<<<<<<<<<
|
|
* else:
|
|
* node = &self.nodes[node.right_child]
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node->left_child]));
|
|
goto __pyx_L15;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":1009
|
|
* node = &self.nodes[node.left_child]
|
|
* else:
|
|
* node = &self.nodes[node.right_child] # <<<<<<<<<<<<<<
|
|
*
|
|
* # Add the leave node
|
|
*/
|
|
__pyx_v_node = (&(__pyx_v_self->nodes[__pyx_v_node->right_child]));
|
|
}
|
|
__pyx_L15:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":1012
|
|
*
|
|
* # Add the leave node
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes) # <<<<<<<<<<<<<<
|
|
* indptr_ptr[i + 1] += 1
|
|
*
|
|
*/
|
|
(__pyx_v_indices_ptr[(__pyx_v_indptr_ptr[(__pyx_v_i + 1)])]) = ((__pyx_t_7sklearn_4tree_5_tree_SIZE_t)(__pyx_v_node - __pyx_v_self->nodes));
|
|
|
|
/* "sklearn/tree/_tree.pyx":1013
|
|
* # Add the leave node
|
|
* indices_ptr[indptr_ptr[i + 1]] = <SIZE_t>(node - self.nodes)
|
|
* indptr_ptr[i + 1] += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # Free auxiliary arrays
|
|
*/
|
|
__pyx_t_18 = (__pyx_v_i + 1);
|
|
(__pyx_v_indptr_ptr[__pyx_t_18]) = ((__pyx_v_indptr_ptr[__pyx_t_18]) + 1);
|
|
}
|
|
|
|
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static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
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int __pyx_v_little_endian;
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int __pyx_v_t;
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PyArray_Descr *__pyx_v_descr = 0;
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__Pyx_RefNannyDeclarations
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char *__pyx_t_7;
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__Pyx_RefNannySetupContext("__getbuffer__", 0);
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__Pyx_GIVEREF(__pyx_v_info->obj);
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* # of flags
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|
*
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__pyx_r = 0;
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goto __pyx_L0;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":206
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*
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* cdef int copy_shape, i, ndim
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*/
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":207
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* cdef int copy_shape, i, ndim
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* cdef int endian_detector = 1
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":211
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*
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* if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<<
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* copy_shape = 1
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* else:
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*/
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":212
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*
|
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* if sizeof(npy_intp) != sizeof(Py_ssize_t):
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goto __pyx_L4;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":214
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":216
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*
|
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goto __pyx_L6_bool_binop_done;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":217
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*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
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__pyx_L6_bool_binop_done:;
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if (__pyx_t_1) {
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":218
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* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":220
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":221
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*
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* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
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if (__pyx_t_1) {
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":222
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* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":224
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|
* raise ValueError(u"ndarray is not Fortran contiguous")
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|
|
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":225
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*
|
|
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*/
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__pyx_v_info->ndim = __pyx_v_ndim;
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|
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":226
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":229
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|
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":230
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
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*/
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":231
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|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
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__pyx_v_i = __pyx_t_5;
|
|
|
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":232
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* info.shape = info.strides + ndim
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|
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|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":233
|
|
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|
|
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|
|
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*/
|
|
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|
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goto __pyx_L11;
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/*else*/ {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":235
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self) # <<<<<<<<<<<<<<
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
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|
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|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":236
|
|
* else:
|
|
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|
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__pyx_L11:;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":237
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|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
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|
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|
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|
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|
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":238
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|
|
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|
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|
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*/
|
|
__pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self);
|
|
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|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":239
|
|
* info.suboffsets = NULL
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__pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0));
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":242
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*
|
|
* cdef int t
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* cdef int t
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* cdef char* f = NULL
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":247
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":249
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__pyx_t_1 = __pyx_t_2;
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goto __pyx_L15_bool_binop_done;
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if (__pyx_t_1) {
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":251
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|
|
goto __pyx_L14;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":254
|
|
* else:
|
|
* # need to call releasebuffer
|
|
* info.obj = self # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields:
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_self));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_v_self));
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = ((PyObject *)__pyx_v_self);
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":256
|
|
* info.obj = self
|
|
*
|
|
* if not hasfields: # <<<<<<<<<<<<<<
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
*/
|
|
__pyx_t_1 = ((!(__pyx_v_hasfields != 0)) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":257
|
|
*
|
|
* if not hasfields:
|
|
* t = descr.type_num # <<<<<<<<<<<<<<
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
*/
|
|
__pyx_t_4 = __pyx_v_descr->type_num;
|
|
__pyx_v_t = __pyx_t_4;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":258
|
|
* if not hasfields:
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_descr->byteorder == '>') != 0);
|
|
if (!__pyx_t_2) {
|
|
goto __pyx_L20_next_or;
|
|
} else {
|
|
}
|
|
__pyx_t_2 = (__pyx_v_little_endian != 0);
|
|
if (!__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L19_bool_binop_done;
|
|
}
|
|
__pyx_L20_next_or:;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":259
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_descr->byteorder == '<') != 0);
|
|
if (__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L19_bool_binop_done;
|
|
}
|
|
__pyx_t_2 = ((!(__pyx_v_little_endian != 0)) != 0);
|
|
__pyx_t_1 = __pyx_t_2;
|
|
__pyx_L19_bool_binop_done:;
|
|
if (__pyx_t_1) {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":260
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
*/
|
|
__pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__7, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 260; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
{__pyx_filename = __pyx_f[2]; __pyx_lineno = 260; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":277
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg"
|
|
* elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<<
|
|
* else:
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
|
|
*/
|
|
switch (__pyx_v_t) {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":261
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
*/
|
|
case NPY_BYTE:
|
|
__pyx_v_f = __pyx_k_b;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":262
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H"
|
|
*/
|
|
case NPY_UBYTE:
|
|
__pyx_v_f = __pyx_k_B;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":263
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i"
|
|
*/
|
|
case NPY_SHORT:
|
|
__pyx_v_f = __pyx_k_h;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":264
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I"
|
|
*/
|
|
case NPY_USHORT:
|
|
__pyx_v_f = __pyx_k_H;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":265
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l"
|
|
*/
|
|
case NPY_INT:
|
|
__pyx_v_f = __pyx_k_i;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":266
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONG: f = "l"
|
|
* elif t == NPY_ULONG: f = "L"
|
|
*/
|
|
case NPY_UINT:
|
|
__pyx_v_f = __pyx_k_I;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":267
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_ULONG: f = "L"
|
|
* elif t == NPY_LONGLONG: f = "q"
|
|
*/
|
|
case NPY_LONG:
|
|
__pyx_v_f = __pyx_k_l;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":268
|
|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l"
|
|
* elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONGLONG: f = "q"
|
|
* elif t == NPY_ULONGLONG: f = "Q"
|
|
*/
|
|
case NPY_ULONG:
|
|
__pyx_v_f = __pyx_k_L;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":269
|
|
* elif t == NPY_LONG: f = "l"
|
|
* elif t == NPY_ULONG: f = "L"
|
|
* elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_ULONGLONG: f = "Q"
|
|
* elif t == NPY_FLOAT: f = "f"
|
|
*/
|
|
case NPY_LONGLONG:
|
|
__pyx_v_f = __pyx_k_q;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":270
|
|
* elif t == NPY_ULONG: f = "L"
|
|
* elif t == NPY_LONGLONG: f = "q"
|
|
* elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_FLOAT: f = "f"
|
|
* elif t == NPY_DOUBLE: f = "d"
|
|
*/
|
|
case NPY_ULONGLONG:
|
|
__pyx_v_f = __pyx_k_Q;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":271
|
|
* elif t == NPY_LONGLONG: f = "q"
|
|
* elif t == NPY_ULONGLONG: f = "Q"
|
|
* elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_DOUBLE: f = "d"
|
|
* elif t == NPY_LONGDOUBLE: f = "g"
|
|
*/
|
|
case NPY_FLOAT:
|
|
__pyx_v_f = __pyx_k_f;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":272
|
|
* elif t == NPY_ULONGLONG: f = "Q"
|
|
* elif t == NPY_FLOAT: f = "f"
|
|
* elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONGDOUBLE: f = "g"
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
*/
|
|
case NPY_DOUBLE:
|
|
__pyx_v_f = __pyx_k_d;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":273
|
|
* elif t == NPY_FLOAT: f = "f"
|
|
* elif t == NPY_DOUBLE: f = "d"
|
|
* elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
*/
|
|
case NPY_LONGDOUBLE:
|
|
__pyx_v_f = __pyx_k_g;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":274
|
|
* elif t == NPY_DOUBLE: f = "d"
|
|
* elif t == NPY_LONGDOUBLE: f = "g"
|
|
* elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg"
|
|
*/
|
|
case NPY_CFLOAT:
|
|
__pyx_v_f = __pyx_k_Zf;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":275
|
|
* elif t == NPY_LONGDOUBLE: f = "g"
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg"
|
|
* elif t == NPY_OBJECT: f = "O"
|
|
*/
|
|
case NPY_CDOUBLE:
|
|
__pyx_v_f = __pyx_k_Zd;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":276
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_OBJECT: f = "O"
|
|
* else:
|
|
*/
|
|
case NPY_CLONGDOUBLE:
|
|
__pyx_v_f = __pyx_k_Zg;
|
|
break;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":277
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg"
|
|
* elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<<
|
|
* else:
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
|
|
*/
|
|
case NPY_OBJECT:
|
|
__pyx_v_f = __pyx_k_O;
|
|
break;
|
|
default:
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":279
|
|
* elif t == NPY_OBJECT: f = "O"
|
|
* else:
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<<
|
|
* info.format = f
|
|
* return
|
|
*/
|
|
__pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_t); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_6 = PyUnicode_Format(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_GIVEREF(__pyx_t_6);
|
|
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_6);
|
|
__pyx_t_6 = 0;
|
|
__pyx_t_6 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_t_3, NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__Pyx_Raise(__pyx_t_6, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
|
|
{__pyx_filename = __pyx_f[2]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
break;
|
|
}
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":280
|
|
* else:
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
|
|
* info.format = f # <<<<<<<<<<<<<<
|
|
* return
|
|
* else:
|
|
*/
|
|
__pyx_v_info->format = __pyx_v_f;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":281
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
|
|
* info.format = f
|
|
* return # <<<<<<<<<<<<<<
|
|
* else:
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
|
|
*/
|
|
__pyx_r = 0;
|
|
goto __pyx_L0;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":283
|
|
* return
|
|
* else:
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len) # <<<<<<<<<<<<<<
|
|
* info.format[0] = c'^' # Native data types, manual alignment
|
|
* offset = 0
|
|
*/
|
|
__pyx_v_info->format = ((char *)malloc(255));
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":284
|
|
* else:
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
|
|
* info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<<
|
|
* offset = 0
|
|
* f = _util_dtypestring(descr, info.format + 1,
|
|
*/
|
|
(__pyx_v_info->format[0]) = '^';
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":285
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
|
|
* info.format[0] = c'^' # Native data types, manual alignment
|
|
* offset = 0 # <<<<<<<<<<<<<<
|
|
* f = _util_dtypestring(descr, info.format + 1,
|
|
* info.format + _buffer_format_string_len,
|
|
*/
|
|
__pyx_v_offset = 0;
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":286
|
|
* info.format[0] = c'^' # Native data types, manual alignment
|
|
* offset = 0
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|
* f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<<
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|
* info.format + _buffer_format_string_len,
|
|
* &offset)
|
|
*/
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":829
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*
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* # Until ticket #99 is fixed, use integers to avoid warnings
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":830
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* # Until ticket #99 is fixed, use integers to avoid warnings
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":831
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":832
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":833
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":834
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":835
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":836
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":837
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* elif t == NPY_LONG: f[0] = 108 #"l"
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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(__pyx_v_f[0]) = 113;
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":838
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* elif t == NPY_ULONG: f[0] = 76 #"L"
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*/
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 81;
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":839
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* elif t == NPY_LONGLONG: f[0] = 113 #"q"
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* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
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* elif t == NPY_DOUBLE: f[0] = 100 #"d"
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*/
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 102;
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goto __pyx_L15;
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/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":840
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* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
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* elif t == NPY_FLOAT: f[0] = 102 #"f"
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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goto __pyx_L0;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":983
|
|
* return None
|
|
* else:
|
|
* return <object>arr.base # <<<<<<<<<<<<<<
|
|
*/
|
|
__Pyx_XDECREF(__pyx_r);
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_arr->base));
|
|
__pyx_r = ((PyObject *)__pyx_v_arr->base);
|
|
goto __pyx_L0;
|
|
}
|
|
|
|
/* "../../../anaconda/lib/python3.4/site-packages/Cython/Includes/numpy/__init__.pxd":979
|
|
* arr.base = baseptr
|
|
*
|
|
* cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<<
|
|
* if arr.base is NULL:
|
|
* return None
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L0:;
|
|
__Pyx_XGIVEREF(__pyx_r);
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree __pyx_vtable_7sklearn_4tree_5_tree_Tree;
|
|
|
|
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_Tree(PyTypeObject *t, PyObject *a, PyObject *k) {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Tree *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_4tree_5_tree_Tree *)o);
|
|
p->__pyx_vtab = __pyx_vtabptr_7sklearn_4tree_5_tree_Tree;
|
|
if (unlikely(__pyx_pw_7sklearn_4tree_5_tree_4Tree_1__cinit__(o, a, k) < 0)) {
|
|
Py_DECREF(o); o = 0;
|
|
}
|
|
return o;
|
|
}
|
|
|
|
static void __pyx_tp_dealloc_7sklearn_4tree_5_tree_Tree(PyObject *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_pw_7sklearn_4tree_5_tree_4Tree_3__dealloc__(o);
|
|
--Py_REFCNT(o);
|
|
PyErr_Restore(etype, eval, etb);
|
|
}
|
|
(*Py_TYPE(o)->tp_free)(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_classes(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_classes_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_left(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_13children_left_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_right(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_14children_right_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_feature(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_7feature_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_threshold(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9threshold_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_impurity(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_8impurity_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_node_samples(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_14n_node_samples_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_weighted_n_node_samples(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_23weighted_n_node_samples_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_value(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_5value_1__get__(o);
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_features(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10n_features_1__get__(o);
|
|
}
|
|
|
|
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_features(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
|
|
if (v) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10n_features_3__set__(o, v);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_NotImplementedError, "__del__");
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_outputs(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_outputs_1__get__(o);
|
|
}
|
|
|
|
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_outputs(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
|
|
if (v) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_outputs_3__set__(o, v);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_NotImplementedError, "__del__");
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_n_classes(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_13max_n_classes_1__get__(o);
|
|
}
|
|
|
|
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_n_classes(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
|
|
if (v) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_13max_n_classes_3__set__(o, v);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_NotImplementedError, "__del__");
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_depth(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9max_depth_1__get__(o);
|
|
}
|
|
|
|
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_depth(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
|
|
if (v) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9max_depth_3__set__(o, v);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_NotImplementedError, "__del__");
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_node_count(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10node_count_1__get__(o);
|
|
}
|
|
|
|
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_node_count(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
|
|
if (v) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10node_count_3__set__(o, v);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_NotImplementedError, "__del__");
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_capacity(PyObject *o, CYTHON_UNUSED void *x) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_8capacity_1__get__(o);
|
|
}
|
|
|
|
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_capacity(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
|
|
if (v) {
|
|
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_8capacity_3__set__(o, v);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_NotImplementedError, "__del__");
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static PyMethodDef __pyx_methods_7sklearn_4tree_5_tree_Tree[] = {
|
|
{"__reduce__", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_5__reduce__, METH_NOARGS, __pyx_doc_7sklearn_4tree_5_tree_4Tree_4__reduce__},
|
|
{"__getstate__", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_7__getstate__, METH_NOARGS, __pyx_doc_7sklearn_4tree_5_tree_4Tree_6__getstate__},
|
|
{"__setstate__", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_9__setstate__, METH_O, __pyx_doc_7sklearn_4tree_5_tree_4Tree_8__setstate__},
|
|
{"predict", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_11predict, METH_O, __pyx_doc_7sklearn_4tree_5_tree_4Tree_10predict},
|
|
{"apply", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_13apply, METH_O, __pyx_doc_7sklearn_4tree_5_tree_4Tree_12apply},
|
|
{"decision_path", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_15decision_path, METH_O, __pyx_doc_7sklearn_4tree_5_tree_4Tree_14decision_path},
|
|
{"compute_feature_importances", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_17compute_feature_importances, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_4tree_5_tree_4Tree_16compute_feature_importances},
|
|
{0, 0, 0, 0}
|
|
};
|
|
|
|
static struct PyGetSetDef __pyx_getsets_7sklearn_4tree_5_tree_Tree[] = {
|
|
{(char *)"n_classes", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_classes, 0, 0, 0},
|
|
{(char *)"children_left", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_left, 0, 0, 0},
|
|
{(char *)"children_right", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_right, 0, 0, 0},
|
|
{(char *)"feature", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_feature, 0, 0, 0},
|
|
{(char *)"threshold", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_threshold, 0, 0, 0},
|
|
{(char *)"impurity", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_impurity, 0, 0, 0},
|
|
{(char *)"n_node_samples", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_node_samples, 0, 0, 0},
|
|
{(char *)"weighted_n_node_samples", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_weighted_n_node_samples, 0, 0, 0},
|
|
{(char *)"value", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_value, 0, 0, 0},
|
|
{(char *)"n_features", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_features, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_features, 0, 0},
|
|
{(char *)"n_outputs", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_outputs, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_outputs, 0, 0},
|
|
{(char *)"max_n_classes", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_n_classes, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_n_classes, 0, 0},
|
|
{(char *)"max_depth", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_depth, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_depth, 0, 0},
|
|
{(char *)"node_count", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_node_count, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_node_count, 0, 0},
|
|
{(char *)"capacity", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_capacity, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_capacity, 0, 0},
|
|
{0, 0, 0, 0, 0}
|
|
};
|
|
|
|
static PyTypeObject __pyx_type_7sklearn_4tree_5_tree_Tree = {
|
|
PyVarObject_HEAD_INIT(0, 0)
|
|
"sklearn.tree._tree.Tree", /*tp_name*/
|
|
sizeof(struct __pyx_obj_7sklearn_4tree_5_tree_Tree), /*tp_basicsize*/
|
|
0, /*tp_itemsize*/
|
|
__pyx_tp_dealloc_7sklearn_4tree_5_tree_Tree, /*tp_dealloc*/
|
|
0, /*tp_print*/
|
|
0, /*tp_getattr*/
|
|
0, /*tp_setattr*/
|
|
#if PY_MAJOR_VERSION < 3
|
|
0, /*tp_compare*/
|
|
#else
|
|
0, /*reserved*/
|
|
#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, /*tp_flags*/
|
|
"Array-based representation of a binary decision tree.\n\n The binary tree is represented as a number of parallel arrays. The i-th\n element of each array holds information about the node `i`. Node 0 is the\n tree's root. You can find a detailed description of all arrays in\n `_tree.pxd`. NOTE: Some of the arrays only apply to either leaves or split\n nodes, resp. In this case the values of nodes of the other type are\n arbitrary!\n\n Attributes\n ----------\n node_count : int\n The number of nodes (internal nodes + leaves) in the tree.\n\n capacity : int\n The current capacity (i.e., size) of the arrays, which is at least as\n great as `node_count`.\n\n max_depth : int\n The maximal depth of the tree.\n\n children_left : array of int, shape [node_count]\n children_left[i] holds the node id of the left child of node i.\n For leaves, children_left[i] == TREE_LEAF. Otherwise,\n children_left[i] > i. This child handles the case where\n X[:, feature[i]] <= threshold[i].\n\n children_right : array of int, shape [node_count]\n children_right[i] holds the node id of the right child of node i.\n For leaves, children_right[i] == TREE_LEAF. Otherwise,\n children_right[i] > i. This child handles the case where\n X[:, feature[i]] > threshold[i].\n\n feature : array of int, shape [node_count]\n feature[i] holds the feature to split on, for the internal node i.\n\n threshold : array of double, shape [node_count]\n threshold[i] holds the threshold for the internal node i.\n\n value : array of double, shape [node_count, n_outputs, max_n_classes]\n Contains the constant prediction value of each node.\n\n impurity : array of double, shape [node_count]\n impurity[i] holds the impurity (i.e., the value of the splitting\n criterion) at node i.\n\n n_node_samples : array of int, shape [node_count]\n n_node_samples[i] holds the number of training samples reaching node i.\n\n weighted_n_node_samples : array of int, shape [node_count]\n weighted_n_node_samples[i] holds the weighted number of training samples\n reaching node i.\n ", /*tp_doc*/
|
|
0, /*tp_traverse*/
|
|
0, /*tp_clear*/
|
|
0, /*tp_richcompare*/
|
|
0, /*tp_weaklistoffset*/
|
|
0, /*tp_iter*/
|
|
0, /*tp_iternext*/
|
|
__pyx_methods_7sklearn_4tree_5_tree_Tree, /*tp_methods*/
|
|
0, /*tp_members*/
|
|
__pyx_getsets_7sklearn_4tree_5_tree_Tree, /*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_7sklearn_4tree_5_tree_Tree, /*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_4tree_5_tree_TreeBuilder __pyx_vtable_7sklearn_4tree_5_tree_TreeBuilder;
|
|
|
|
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_TreeBuilder(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *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_4tree_5_tree_TreeBuilder *)o);
|
|
p->__pyx_vtab = __pyx_vtabptr_7sklearn_4tree_5_tree_TreeBuilder;
|
|
p->splitter = ((struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *)Py_None); Py_INCREF(Py_None);
|
|
return o;
|
|
}
|
|
|
|
static void __pyx_tp_dealloc_7sklearn_4tree_5_tree_TreeBuilder(PyObject *o) {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *p = (struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *)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->splitter);
|
|
(*Py_TYPE(o)->tp_free)(o);
|
|
}
|
|
|
|
static int __pyx_tp_traverse_7sklearn_4tree_5_tree_TreeBuilder(PyObject *o, visitproc v, void *a) {
|
|
int e;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *p = (struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *)o;
|
|
if (p->splitter) {
|
|
e = (*v)(((PyObject*)p->splitter), a); if (e) return e;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
static int __pyx_tp_clear_7sklearn_4tree_5_tree_TreeBuilder(PyObject *o) {
|
|
PyObject* tmp;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *p = (struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *)o;
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tmp = ((PyObject*)p->splitter);
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p->splitter = ((struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *)Py_None); Py_INCREF(Py_None);
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Py_XDECREF(tmp);
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return 0;
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static PyMethodDef __pyx_methods_7sklearn_4tree_5_tree_TreeBuilder[] = {
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{"build", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_11TreeBuilder_1build, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_4tree_5_tree_11TreeBuilder_build},
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{0, 0, 0, 0}
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PyVarObject_HEAD_INIT(0, 0)
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__pyx_tp_dealloc_7sklearn_4tree_5_tree_TreeBuilder, /*tp_dealloc*/
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__pyx_tp_traverse_7sklearn_4tree_5_tree_TreeBuilder, /*tp_traverse*/
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__pyx_tp_new_7sklearn_4tree_5_tree_TreeBuilder, /*tp_new*/
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static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_DepthFirstTreeBuilder __pyx_vtable_7sklearn_4tree_5_tree_DepthFirstTreeBuilder;
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static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_DepthFirstTreeBuilder(PyTypeObject *t, PyObject *a, PyObject *k) {
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struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder *p;
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PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_TreeBuilder(t, a, k);
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if (unlikely(!o)) return 0;
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p = ((struct __pyx_obj_7sklearn_4tree_5_tree_DepthFirstTreeBuilder *)o);
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p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_7sklearn_4tree_5_tree_TreeBuilder*)__pyx_vtabptr_7sklearn_4tree_5_tree_DepthFirstTreeBuilder;
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if (unlikely(__pyx_pw_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_1__cinit__(o, a, k) < 0)) {
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return o;
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static PyMethodDef __pyx_methods_7sklearn_4tree_5_tree_DepthFirstTreeBuilder[] = {
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{"build", (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_3build, METH_VARARGS|METH_KEYWORDS, __pyx_doc_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_2build},
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static PyTypeObject __pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder = {
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Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
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__pyx_tp_traverse_7sklearn_4tree_5_tree_TreeBuilder, /*tp_traverse*/
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__pyx_tp_clear_7sklearn_4tree_5_tree_TreeBuilder, /*tp_clear*/
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__pyx_tp_new_7sklearn_4tree_5_tree_DepthFirstTreeBuilder, /*tp_new*/
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static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_BestFirstTreeBuilder __pyx_vtable_7sklearn_4tree_5_tree_BestFirstTreeBuilder;
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static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_BestFirstTreeBuilder(PyTypeObject *t, PyObject *a, PyObject *k) {
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struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *p;
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PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_TreeBuilder(t, a, k);
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if (__Pyx_init_sys_getdefaultencoding_params() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
#endif
|
|
if (__pyx_module_is_main_sklearn__tree___tree) {
|
|
if (PyObject_SetAttrString(__pyx_m, "__name__", __pyx_n_s_main) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
|
|
}
|
|
#if PY_MAJOR_VERSION >= 3
|
|
{
|
|
PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (!PyDict_GetItemString(modules, "sklearn.tree._tree")) {
|
|
if (unlikely(PyDict_SetItemString(modules, "sklearn.tree._tree", __pyx_m) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
}
|
|
#endif
|
|
/*--- Builtin init code ---*/
|
|
if (unlikely(__Pyx_InitCachedBuiltins() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
/*--- Constants init code ---*/
|
|
if (unlikely(__Pyx_InitCachedConstants() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
/*--- Global init code ---*/
|
|
/*--- Variable export code ---*/
|
|
/*--- Function export code ---*/
|
|
/*--- Type init code ---*/
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_Tree = &__pyx_vtable_7sklearn_4tree_5_tree_Tree;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._add_node = (__pyx_t_7sklearn_4tree_5_tree_SIZE_t (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, int, int, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double, double, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double))__pyx_f_7sklearn_4tree_5_tree_4Tree__add_node;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._resize = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t))__pyx_f_7sklearn_4tree_5_tree_4Tree__resize;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._resize_c = (int (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree__resize_c *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_4Tree__resize_c;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._get_value_ndarray = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *))__pyx_f_7sklearn_4tree_5_tree_4Tree__get_value_ndarray;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._get_node_ndarray = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *))__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree.predict = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_4Tree_predict;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree.apply = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_4Tree_apply;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._apply_dense = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *))__pyx_f_7sklearn_4tree_5_tree_4Tree__apply_dense;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._apply_sparse_csr = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *))__pyx_f_7sklearn_4tree_5_tree_4Tree__apply_sparse_csr;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree.decision_path = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_4Tree_decision_path;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._decision_path_dense = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *))__pyx_f_7sklearn_4tree_5_tree_4Tree__decision_path_dense;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree._decision_path_sparse_csr = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *))__pyx_f_7sklearn_4tree_5_tree_4Tree__decision_path_sparse_csr;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Tree.compute_feature_importances = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_4Tree_compute_feature_importances;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Tree) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_type_7sklearn_4tree_5_tree_Tree.tp_print = 0;
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Tree.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Tree) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (PyObject_SetAttrString(__pyx_m, "Tree", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Tree) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_Tree = &__pyx_type_7sklearn_4tree_5_tree_Tree;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_TreeBuilder = &__pyx_vtable_7sklearn_4tree_5_tree_TreeBuilder;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_TreeBuilder.build = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_11TreeBuilder_build;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_TreeBuilder._check_input = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, PyObject *, PyArrayObject *, PyArrayObject *))__pyx_f_7sklearn_4tree_5_tree_11TreeBuilder__check_input;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_TreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_type_7sklearn_4tree_5_tree_TreeBuilder.tp_print = 0;
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_TreeBuilder.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_TreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (PyObject_SetAttrString(__pyx_m, "TreeBuilder", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_TreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_TreeBuilder = &__pyx_type_7sklearn_4tree_5_tree_TreeBuilder;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_DepthFirstTreeBuilder = &__pyx_vtable_7sklearn_4tree_5_tree_DepthFirstTreeBuilder;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_DepthFirstTreeBuilder.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_TreeBuilder;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_DepthFirstTreeBuilder.__pyx_base.build = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_21DepthFirstTreeBuilder_build;
|
|
__pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_TreeBuilder;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder.tp_print = 0;
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_DepthFirstTreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (PyObject_SetAttrString(__pyx_m, "DepthFirstTreeBuilder", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_DepthFirstTreeBuilder = &__pyx_type_7sklearn_4tree_5_tree_DepthFirstTreeBuilder;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_BestFirstTreeBuilder = &__pyx_vtable_7sklearn_4tree_5_tree_BestFirstTreeBuilder;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_BestFirstTreeBuilder.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_TreeBuilder;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_BestFirstTreeBuilder.__pyx_base.build = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_TreeBuilder *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyObject *, PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_11TreeBuilder_build *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder_build;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_BestFirstTreeBuilder._add_split_node = (int (*)(struct __pyx_obj_7sklearn_4tree_5_tree_BestFirstTreeBuilder *, struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter *, struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, double, int, int, struct __pyx_t_7sklearn_4tree_5_tree_Node *, __pyx_t_7sklearn_4tree_5_tree_SIZE_t, struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *))__pyx_f_7sklearn_4tree_5_tree_20BestFirstTreeBuilder__add_split_node;
|
|
__pyx_type_7sklearn_4tree_5_tree_BestFirstTreeBuilder.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_TreeBuilder;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_BestFirstTreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_type_7sklearn_4tree_5_tree_BestFirstTreeBuilder.tp_print = 0;
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_BestFirstTreeBuilder.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_BestFirstTreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (PyObject_SetAttrString(__pyx_m, "BestFirstTreeBuilder", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_BestFirstTreeBuilder) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_BestFirstTreeBuilder = &__pyx_type_7sklearn_4tree_5_tree_BestFirstTreeBuilder;
|
|
/*--- Type import code ---*/
|
|
__pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "type",
|
|
#if CYTHON_COMPILING_IN_PYPY
|
|
sizeof(PyTypeObject),
|
|
#else
|
|
sizeof(PyHeapTypeObject),
|
|
#endif
|
|
0); if (unlikely(!__pyx_ptype_7cpython_4type_type)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 155; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 168; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 172; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 864; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_10_criterion_Criterion = __Pyx_ImportType("sklearn.tree._criterion", "Criterion", sizeof(struct __pyx_obj_7sklearn_4tree_10_criterion_Criterion), 1); if (unlikely(!__pyx_ptype_7sklearn_4tree_10_criterion_Criterion)) {__pyx_filename = __pyx_f[4]; __pyx_lineno = 21; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_4tree_10_criterion_Criterion = (struct __pyx_vtabstruct_7sklearn_4tree_10_criterion_Criterion*)__Pyx_GetVtable(__pyx_ptype_7sklearn_4tree_10_criterion_Criterion->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_4tree_10_criterion_Criterion)) {__pyx_filename = __pyx_f[4]; __pyx_lineno = 21; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_9_splitter_Splitter = __Pyx_ImportType("sklearn.tree._splitter", "Splitter", sizeof(struct __pyx_obj_7sklearn_4tree_9_splitter_Splitter), 1); if (unlikely(!__pyx_ptype_7sklearn_4tree_9_splitter_Splitter)) {__pyx_filename = __pyx_f[5]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_4tree_9_splitter_Splitter = (struct __pyx_vtabstruct_7sklearn_4tree_9_splitter_Splitter*)__Pyx_GetVtable(__pyx_ptype_7sklearn_4tree_9_splitter_Splitter->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_4tree_9_splitter_Splitter)) {__pyx_filename = __pyx_f[5]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7cpython_4bool_bool = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "bool", sizeof(PyBoolObject), 0); if (unlikely(!__pyx_ptype_7cpython_4bool_bool)) {__pyx_filename = __pyx_f[6]; __pyx_lineno = 8; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7cpython_7complex_complex = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "complex", sizeof(PyComplexObject), 0); if (unlikely(!__pyx_ptype_7cpython_7complex_complex)) {__pyx_filename = __pyx_f[7]; __pyx_lineno = 15; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_6_utils_Stack = __Pyx_ImportType("sklearn.tree._utils", "Stack", sizeof(struct __pyx_obj_7sklearn_4tree_6_utils_Stack), 1); if (unlikely(!__pyx_ptype_7sklearn_4tree_6_utils_Stack)) {__pyx_filename = __pyx_f[8]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_4tree_6_utils_Stack = (struct __pyx_vtabstruct_7sklearn_4tree_6_utils_Stack*)__Pyx_GetVtable(__pyx_ptype_7sklearn_4tree_6_utils_Stack->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_4tree_6_utils_Stack)) {__pyx_filename = __pyx_f[8]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_6_utils_PriorityHeap = __Pyx_ImportType("sklearn.tree._utils", "PriorityHeap", sizeof(struct __pyx_obj_7sklearn_4tree_6_utils_PriorityHeap), 1); if (unlikely(!__pyx_ptype_7sklearn_4tree_6_utils_PriorityHeap)) {__pyx_filename = __pyx_f[8]; __pyx_lineno = 96; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_4tree_6_utils_PriorityHeap = (struct __pyx_vtabstruct_7sklearn_4tree_6_utils_PriorityHeap*)__Pyx_GetVtable(__pyx_ptype_7sklearn_4tree_6_utils_PriorityHeap->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_4tree_6_utils_PriorityHeap)) {__pyx_filename = __pyx_f[8]; __pyx_lineno = 96; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
/*--- Variable import code ---*/
|
|
/*--- Function import code ---*/
|
|
__pyx_t_1 = __Pyx_ImportModule("sklearn.tree._utils"); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_ImportFunction(__pyx_t_1, "sizet_ptr_to_ndarray", (void (**)(void))&__pyx_f_7sklearn_4tree_6_utils_sizet_ptr_to_ndarray, "PyArrayObject *(__pyx_t_7sklearn_4tree_6_utils_SIZE_t *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t)") < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_0safe_realloc", (void (**)(void))&__pyx_fuse_0__pyx_f_7sklearn_4tree_6_utils_safe_realloc, "__pyx_t_7sklearn_4tree_6_utils_DTYPE_t *(__pyx_t_7sklearn_4tree_6_utils_DTYPE_t **, size_t)") < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_1safe_realloc", (void (**)(void))&__pyx_fuse_1__pyx_f_7sklearn_4tree_6_utils_safe_realloc, "__pyx_t_7sklearn_4tree_6_utils_SIZE_t *(__pyx_t_7sklearn_4tree_6_utils_SIZE_t **, size_t)") < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_ImportFunction(__pyx_t_1, "__pyx_fuse_2safe_realloc", (void (**)(void))&__pyx_fuse_2__pyx_f_7sklearn_4tree_6_utils_safe_realloc, "unsigned char *(unsigned char **, size_t)") < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
Py_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
/*--- Execution code ---*/
|
|
|
|
/* "sklearn/tree/_tree.pyx":25
|
|
* from libc.string cimport memset
|
|
*
|
|
* import numpy as np # <<<<<<<<<<<<<<
|
|
* cimport numpy as np
|
|
* np.import_array()
|
|
*/
|
|
__pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 25; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 25; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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/* "sklearn/tree/_tree.pyx":27
|
|
* import numpy as np
|
|
* cimport numpy as np
|
|
* np.import_array() # <<<<<<<<<<<<<<
|
|
*
|
|
* from scipy.sparse import issparse
|
|
*/
|
|
import_array();
|
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|
|
/* "sklearn/tree/_tree.pyx":29
|
|
* np.import_array()
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|
*
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|
* from scipy.sparse import issparse # <<<<<<<<<<<<<<
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|
* from scipy.sparse import csc_matrix
|
|
* from scipy.sparse import csr_matrix
|
|
*/
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__pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 29; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_2);
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__Pyx_GOTREF(__pyx_t_3);
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if (PyDict_SetItem(__pyx_d, __pyx_n_s_issparse, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 29; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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/* "sklearn/tree/_tree.pyx":30
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*
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* from scipy.sparse import issparse
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* from scipy.sparse import csc_matrix # <<<<<<<<<<<<<<
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* from scipy.sparse import csr_matrix
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*
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*/
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__pyx_t_3 = PyList_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 30; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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if (PyDict_SetItem(__pyx_d, __pyx_n_s_csc_matrix, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 30; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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/* "sklearn/tree/_tree.pyx":31
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* from scipy.sparse import issparse
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* from scipy.sparse import csc_matrix
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* from scipy.sparse import csr_matrix # <<<<<<<<<<<<<<
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*
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*/
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/* "sklearn/tree/_tree.pyx":50
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* # =============================================================================
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*
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* from numpy import float32 as DTYPE # <<<<<<<<<<<<<<
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* from numpy import float64 as DOUBLE
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*
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*/
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__pyx_t_3 = PyList_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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PyList_SET_ITEM(__pyx_t_3, 0, __pyx_n_s_float32);
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__pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, __pyx_t_3, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 50; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_2);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_GOTREF(__pyx_t_3);
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/* "sklearn/tree/_tree.pyx":51
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*
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* from numpy import float32 as DTYPE
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* from numpy import float64 as DOUBLE # <<<<<<<<<<<<<<
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*
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* cdef double INFINITY = np.inf
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*/
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__pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_GOTREF(__pyx_t_2);
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if (PyDict_SetItem(__pyx_d, __pyx_n_s_DOUBLE, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/* "sklearn/tree/_tree.pyx":53
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* from numpy import float64 as DOUBLE
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*
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* cdef double INFINITY = np.inf # <<<<<<<<<<<<<<
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*
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* # Some handy constants (BestFirstTreeBuilder)
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*/
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__pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_inf); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_2);
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/* "sklearn/tree/_tree.pyx":56
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*
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* # Some handy constants (BestFirstTreeBuilder)
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* cdef int IS_FIRST = 1 # <<<<<<<<<<<<<<
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* cdef int IS_NOT_FIRST = 0
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* cdef int IS_LEFT = 1
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*/
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__pyx_v_7sklearn_4tree_5_tree_IS_FIRST = 1;
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/* "sklearn/tree/_tree.pyx":57
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* # Some handy constants (BestFirstTreeBuilder)
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* cdef int IS_FIRST = 1
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* cdef int IS_NOT_FIRST = 0 # <<<<<<<<<<<<<<
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* cdef int IS_LEFT = 1
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* cdef int IS_NOT_LEFT = 0
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*/
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/* "sklearn/tree/_tree.pyx":58
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* cdef int IS_FIRST = 1
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* cdef int IS_NOT_FIRST = 0
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* cdef int IS_LEFT = 1 # <<<<<<<<<<<<<<
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* cdef int IS_NOT_LEFT = 0
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*
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*/
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__pyx_v_7sklearn_4tree_5_tree_IS_LEFT = 1;
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/* "sklearn/tree/_tree.pyx":59
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* cdef int IS_NOT_FIRST = 0
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* cdef int IS_LEFT = 1
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* cdef int IS_NOT_LEFT = 0 # <<<<<<<<<<<<<<
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*
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* TREE_LEAF = -1
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*/
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__pyx_v_7sklearn_4tree_5_tree_IS_NOT_LEFT = 0;
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/* "sklearn/tree/_tree.pyx":61
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* cdef int IS_NOT_LEFT = 0
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*
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* TREE_LEAF = -1 # <<<<<<<<<<<<<<
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* TREE_UNDEFINED = -2
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/* "sklearn/tree/_tree.pyx":62
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*
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* TREE_LEAF = -1
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* TREE_UNDEFINED = -2 # <<<<<<<<<<<<<<
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/* "sklearn/tree/_tree.pyx":63
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* TREE_LEAF = -1
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* cdef SIZE_t _TREE_LEAF = TREE_LEAF # <<<<<<<<<<<<<<
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*/
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__pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_TREE_LEAF); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/* "sklearn/tree/_tree.pyx":64
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* TREE_UNDEFINED = -2
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* cdef SIZE_t _TREE_LEAF = TREE_LEAF
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/* "sklearn/tree/_tree.pyx":65
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* cdef SIZE_t _TREE_LEAF = TREE_LEAF
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*
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*/
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/* "sklearn/tree/_tree.pyx":66
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*
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* # Repeat struct definition for numpy
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*/
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/* "sklearn/tree/_tree.pyx":69
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*
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* # Repeat struct definition for numpy
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* 'names': ['left_child', 'right_child', 'feature', 'threshold', 'impurity',
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* 'n_node_samples', 'weighted_n_node_samples'],
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*/
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/* "sklearn/tree/_tree.pyx":70
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* # Repeat struct definition for numpy
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* NODE_DTYPE = np.dtype({
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* 'names': ['left_child', 'right_child', 'feature', 'threshold', 'impurity', # <<<<<<<<<<<<<<
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* 'n_node_samples', 'weighted_n_node_samples'],
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*/
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|
PyErr_SetString(PyExc_ImportError, "init sklearn.tree._tree");
|
|
}
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
#if PY_MAJOR_VERSION < 3
|
|
return;
|
|
#else
|
|
return __pyx_m;
|
|
#endif
|
|
}
|
|
|
|
/* --- Runtime support code --- */
|
|
#if CYTHON_REFNANNY
|
|
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
|
|
PyObject *m = NULL, *p = NULL;
|
|
void *r = NULL;
|
|
m = PyImport_ImportModule((char *)modname);
|
|
if (!m) goto end;
|
|
p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
|
|
if (!p) goto end;
|
|
r = PyLong_AsVoidPtr(p);
|
|
end:
|
|
Py_XDECREF(p);
|
|
Py_XDECREF(m);
|
|
return (__Pyx_RefNannyAPIStruct *)r;
|
|
}
|
|
#endif
|
|
|
|
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
|
|
PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
|
|
if (unlikely(!result)) {
|
|
PyErr_Format(PyExc_NameError,
|
|
#if PY_MAJOR_VERSION >= 3
|
|
"name '%U' is not defined", name);
|
|
#else
|
|
"name '%.200s' is not defined", PyString_AS_STRING(name));
|
|
#endif
|
|
}
|
|
return result;
|
|
}
|
|
|
|
#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
|
|
|
|
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);
|
|
}
|
|
|
|
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
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
#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
|
|
|
|
#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* args = PyTuple_Pack(1, arg);
|
|
return (likely(args)) ? __Pyx_PyObject_Call(func, args, NULL) : NULL;
|
|
}
|
|
#endif
|
|
|
|
#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
|
|
|
|
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
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);
|
|
#else
|
|
PyErr_Restore(type, value, tb);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
*type = tstate->curexc_type;
|
|
*value = tstate->curexc_value;
|
|
*tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = 0;
|
|
tstate->curexc_value = 0;
|
|
tstate->curexc_traceback = 0;
|
|
#else
|
|
PyErr_Fetch(type, value, tb);
|
|
#endif
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
|
|
CYTHON_UNUSED PyObject *cause) {
|
|
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_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
|
|
|
|
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;
|
|
}
|
|
|
|
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);
|
|
}
|
|
|
|
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");
|
|
}
|
|
|
|
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
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
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))
|
|
PyErr_Clear();
|
|
else
|
|
goto bad;
|
|
}
|
|
}
|
|
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;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
|
|
unsigned int n = 1;
|
|
return *(unsigned char*)(&n) != 0;
|
|
}
|
|
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
|
|
__Pyx_BufFmt_StackElem* stack,
|
|
__Pyx_TypeInfo* type) {
|
|
stack[0].field = &ctx->root;
|
|
stack[0].parent_offset = 0;
|
|
ctx->root.type = type;
|
|
ctx->root.name = "buffer dtype";
|
|
ctx->root.offset = 0;
|
|
ctx->head = stack;
|
|
ctx->head->field = &ctx->root;
|
|
ctx->fmt_offset = 0;
|
|
ctx->head->parent_offset = 0;
|
|
ctx->new_packmode = '@';
|
|
ctx->enc_packmode = '@';
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
ctx->is_valid_array = 0;
|
|
ctx->struct_alignment = 0;
|
|
while (type->typegroup == 'S') {
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = 0;
|
|
type = type->fields->type;
|
|
}
|
|
}
|
|
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
|
|
int count;
|
|
const char* t = *ts;
|
|
if (*t < '0' || *t > '9') {
|
|
return -1;
|
|
} else {
|
|
count = *t++ - '0';
|
|
while (*t >= '0' && *t < '9') {
|
|
count *= 10;
|
|
count += *t++ - '0';
|
|
}
|
|
}
|
|
*ts = t;
|
|
return count;
|
|
}
|
|
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
|
|
int number = __Pyx_BufFmt_ParseNumber(ts);
|
|
if (number == -1)
|
|
PyErr_Format(PyExc_ValueError,\
|
|
"Does not understand character buffer dtype format string ('%c')", **ts);
|
|
return number;
|
|
}
|
|
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Unexpected format string character: '%c'", ch);
|
|
}
|
|
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': return "'char'";
|
|
case 'b': return "'signed char'";
|
|
case 'B': return "'unsigned char'";
|
|
case 'h': return "'short'";
|
|
case 'H': return "'unsigned short'";
|
|
case 'i': return "'int'";
|
|
case 'I': return "'unsigned int'";
|
|
case 'l': return "'long'";
|
|
case 'L': return "'unsigned long'";
|
|
case 'q': return "'long long'";
|
|
case 'Q': return "'unsigned long long'";
|
|
case 'f': return (is_complex ? "'complex float'" : "'float'");
|
|
case 'd': return (is_complex ? "'complex double'" : "'double'");
|
|
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
|
|
case 'T': return "a struct";
|
|
case 'O': return "Python object";
|
|
case 'P': return "a pointer";
|
|
case 's': case 'p': return "a string";
|
|
case 0: return "end";
|
|
default: return "unparseable format string";
|
|
}
|
|
}
|
|
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return 2;
|
|
case 'i': case 'I': case 'l': case 'L': return 4;
|
|
case 'q': case 'Q': return 8;
|
|
case 'f': return (is_complex ? 8 : 4);
|
|
case 'd': return (is_complex ? 16 : 8);
|
|
case 'g': {
|
|
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
|
|
return 0;
|
|
}
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return sizeof(short);
|
|
case 'i': case 'I': return sizeof(int);
|
|
case 'l': case 'L': return sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
|
|
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
|
|
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
typedef struct { char c; short x; } __Pyx_st_short;
|
|
typedef struct { char c; int x; } __Pyx_st_int;
|
|
typedef struct { char c; long x; } __Pyx_st_long;
|
|
typedef struct { char c; float x; } __Pyx_st_float;
|
|
typedef struct { char c; double x; } __Pyx_st_double;
|
|
typedef struct { char c; long double x; } __Pyx_st_longdouble;
|
|
typedef struct { char c; void *x; } __Pyx_st_void_p;
|
|
#ifdef HAVE_LONG_LONG
|
|
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
|
|
#endif
|
|
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
|
|
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
|
|
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
|
|
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
|
|
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
|
|
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
/* These are for computing the padding at the end of the struct to align
|
|
on the first member of the struct. This will probably the same as above,
|
|
but we don't have any guarantees.
|
|
*/
|
|
typedef struct { short x; char c; } __Pyx_pad_short;
|
|
typedef struct { int x; char c; } __Pyx_pad_int;
|
|
typedef struct { long x; char c; } __Pyx_pad_long;
|
|
typedef struct { float x; char c; } __Pyx_pad_float;
|
|
typedef struct { double x; char c; } __Pyx_pad_double;
|
|
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
|
|
typedef struct { void *x; char c; } __Pyx_pad_void_p;
|
|
#ifdef HAVE_LONG_LONG
|
|
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
|
|
#endif
|
|
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
|
|
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
|
|
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
|
|
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
|
|
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
|
|
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c':
|
|
return 'H';
|
|
case 'b': case 'h': case 'i':
|
|
case 'l': case 'q': case 's': case 'p':
|
|
return 'I';
|
|
case 'B': case 'H': case 'I': case 'L': case 'Q':
|
|
return 'U';
|
|
case 'f': case 'd': case 'g':
|
|
return (is_complex ? 'C' : 'R');
|
|
case 'O':
|
|
return 'O';
|
|
case 'P':
|
|
return 'P';
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
|
|
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
|
|
const char* expected;
|
|
const char* quote;
|
|
if (ctx->head == NULL) {
|
|
expected = "end";
|
|
quote = "";
|
|
} else {
|
|
expected = ctx->head->field->type->name;
|
|
quote = "'";
|
|
}
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected %s%s%s but got %s",
|
|
quote, expected, quote,
|
|
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
|
|
} else {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_StructField* parent = (ctx->head - 1)->field;
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
|
|
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
|
|
parent->type->name, field->name);
|
|
}
|
|
}
|
|
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
|
|
char group;
|
|
size_t size, offset, arraysize = 1;
|
|
if (ctx->enc_type == 0) return 0;
|
|
if (ctx->head->field->type->arraysize[0]) {
|
|
int i, ndim = 0;
|
|
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
|
|
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
|
|
ndim = 1;
|
|
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Expected a dimension of size %zu, got %zu",
|
|
ctx->head->field->type->arraysize[0], ctx->enc_count);
|
|
return -1;
|
|
}
|
|
}
|
|
if (!ctx->is_valid_array) {
|
|
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
|
|
ctx->head->field->type->ndim, ndim);
|
|
return -1;
|
|
}
|
|
for (i = 0; i < ctx->head->field->type->ndim; i++) {
|
|
arraysize *= ctx->head->field->type->arraysize[i];
|
|
}
|
|
ctx->is_valid_array = 0;
|
|
ctx->enc_count = 1;
|
|
}
|
|
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
|
|
do {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_TypeInfo* type = field->type;
|
|
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
|
|
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
|
|
} else {
|
|
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
|
|
}
|
|
if (ctx->enc_packmode == '@') {
|
|
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
|
|
size_t align_mod_offset;
|
|
if (align_at == 0) return -1;
|
|
align_mod_offset = ctx->fmt_offset % align_at;
|
|
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
|
|
if (ctx->struct_alignment == 0)
|
|
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
|
|
ctx->is_complex);
|
|
}
|
|
if (type->size != size || type->typegroup != group) {
|
|
if (type->typegroup == 'C' && type->fields != NULL) {
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = parent_offset;
|
|
continue;
|
|
}
|
|
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
|
|
} else {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
}
|
|
offset = ctx->head->parent_offset + field->offset;
|
|
if (ctx->fmt_offset != offset) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
|
|
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
|
|
return -1;
|
|
}
|
|
ctx->fmt_offset += size;
|
|
if (arraysize)
|
|
ctx->fmt_offset += (arraysize - 1) * size;
|
|
--ctx->enc_count;
|
|
while (1) {
|
|
if (field == &ctx->root) {
|
|
ctx->head = NULL;
|
|
if (ctx->enc_count != 0) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
break;
|
|
}
|
|
ctx->head->field = ++field;
|
|
if (field->type == NULL) {
|
|
--ctx->head;
|
|
field = ctx->head->field;
|
|
continue;
|
|
} else if (field->type->typegroup == 'S') {
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
if (field->type->fields->type == NULL) continue;
|
|
field = field->type->fields;
|
|
++ctx->head;
|
|
ctx->head->field = field;
|
|
ctx->head->parent_offset = parent_offset;
|
|
break;
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
} while (ctx->enc_count);
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
return 0;
|
|
}
|
|
static CYTHON_INLINE PyObject *
|
|
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
|
|
{
|
|
const char *ts = *tsp;
|
|
int i = 0, number;
|
|
int ndim = ctx->head->field->type->ndim;
|
|
;
|
|
++ts;
|
|
if (ctx->new_count != 1) {
|
|
PyErr_SetString(PyExc_ValueError,
|
|
"Cannot handle repeated arrays in format string");
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
while (*ts && *ts != ')') {
|
|
switch (*ts) {
|
|
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
|
|
default: break;
|
|
}
|
|
number = __Pyx_BufFmt_ExpectNumber(&ts);
|
|
if (number == -1) return NULL;
|
|
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
|
|
return PyErr_Format(PyExc_ValueError,
|
|
"Expected a dimension of size %zu, got %d",
|
|
ctx->head->field->type->arraysize[i], number);
|
|
if (*ts != ',' && *ts != ')')
|
|
return PyErr_Format(PyExc_ValueError,
|
|
"Expected a comma in format string, got '%c'", *ts);
|
|
if (*ts == ',') ts++;
|
|
i++;
|
|
}
|
|
if (i != ndim)
|
|
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
|
|
ctx->head->field->type->ndim, i);
|
|
if (!*ts) {
|
|
PyErr_SetString(PyExc_ValueError,
|
|
"Unexpected end of format string, expected ')'");
|
|
return NULL;
|
|
}
|
|
ctx->is_valid_array = 1;
|
|
ctx->new_count = 1;
|
|
*tsp = ++ts;
|
|
return Py_None;
|
|
}
|
|
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
|
|
int got_Z = 0;
|
|
while (1) {
|
|
switch(*ts) {
|
|
case 0:
|
|
if (ctx->enc_type != 0 && ctx->head == NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
if (ctx->head != NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
return ts;
|
|
case ' ':
|
|
case '\r':
|
|
case '\n':
|
|
++ts;
|
|
break;
|
|
case '<':
|
|
if (!__Pyx_IsLittleEndian()) {
|
|
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
|
|
return NULL;
|
|
}
|
|
ctx->new_packmode = '=';
|
|
++ts;
|
|
break;
|
|
case '>':
|
|
case '!':
|
|
if (__Pyx_IsLittleEndian()) {
|
|
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
|
|
return NULL;
|
|
}
|
|
ctx->new_packmode = '=';
|
|
++ts;
|
|
break;
|
|
case '=':
|
|
case '@':
|
|
case '^':
|
|
ctx->new_packmode = *ts++;
|
|
break;
|
|
case 'T':
|
|
{
|
|
const char* ts_after_sub;
|
|
size_t i, struct_count = ctx->new_count;
|
|
size_t struct_alignment = ctx->struct_alignment;
|
|
ctx->new_count = 1;
|
|
++ts;
|
|
if (*ts != '{') {
|
|
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_type = 0;
|
|
ctx->enc_count = 0;
|
|
ctx->struct_alignment = 0;
|
|
++ts;
|
|
ts_after_sub = ts;
|
|
for (i = 0; i != struct_count; ++i) {
|
|
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
|
|
if (!ts_after_sub) return NULL;
|
|
}
|
|
ts = ts_after_sub;
|
|
if (struct_alignment) ctx->struct_alignment = struct_alignment;
|
|
}
|
|
break;
|
|
case '}':
|
|
{
|
|
size_t alignment = ctx->struct_alignment;
|
|
++ts;
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_type = 0;
|
|
if (alignment && ctx->fmt_offset % alignment) {
|
|
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
|
|
}
|
|
}
|
|
return ts;
|
|
case 'x':
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->fmt_offset += ctx->new_count;
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->enc_packmode = ctx->new_packmode;
|
|
++ts;
|
|
break;
|
|
case 'Z':
|
|
got_Z = 1;
|
|
++ts;
|
|
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
|
|
return NULL;
|
|
}
|
|
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
|
|
case 'l': case 'L': case 'q': case 'Q':
|
|
case 'f': case 'd': case 'g':
|
|
case 'O': case 'p':
|
|
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
|
|
ctx->enc_packmode == ctx->new_packmode) {
|
|
ctx->enc_count += ctx->new_count;
|
|
ctx->new_count = 1;
|
|
got_Z = 0;
|
|
++ts;
|
|
break;
|
|
}
|
|
case 's':
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_count = ctx->new_count;
|
|
ctx->enc_packmode = ctx->new_packmode;
|
|
ctx->enc_type = *ts;
|
|
ctx->is_complex = got_Z;
|
|
++ts;
|
|
ctx->new_count = 1;
|
|
got_Z = 0;
|
|
break;
|
|
case ':':
|
|
++ts;
|
|
while(*ts != ':') ++ts;
|
|
++ts;
|
|
break;
|
|
case '(':
|
|
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
|
|
break;
|
|
default:
|
|
{
|
|
int number = __Pyx_BufFmt_ExpectNumber(&ts);
|
|
if (number == -1) return NULL;
|
|
ctx->new_count = (size_t)number;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
|
|
buf->buf = NULL;
|
|
buf->obj = NULL;
|
|
buf->strides = __Pyx_zeros;
|
|
buf->shape = __Pyx_zeros;
|
|
buf->suboffsets = __Pyx_minusones;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
|
|
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
|
|
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
|
|
{
|
|
if (obj == Py_None || obj == NULL) {
|
|
__Pyx_ZeroBuffer(buf);
|
|
return 0;
|
|
}
|
|
buf->buf = NULL;
|
|
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
|
|
if (buf->ndim != nd) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer has wrong number of dimensions (expected %d, got %d)",
|
|
nd, buf->ndim);
|
|
goto fail;
|
|
}
|
|
if (!cast) {
|
|
__Pyx_BufFmt_Context ctx;
|
|
__Pyx_BufFmt_Init(&ctx, stack, dtype);
|
|
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
|
|
}
|
|
if ((unsigned)buf->itemsize != dtype->size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
|
|
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
|
|
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
|
|
goto fail;
|
|
}
|
|
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
|
|
return 0;
|
|
fail:;
|
|
__Pyx_ZeroBuffer(buf);
|
|
return -1;
|
|
}
|
|
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
|
|
if (info->buf == NULL) return;
|
|
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
|
|
__Pyx_ReleaseBuffer(info);
|
|
}
|
|
|
|
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))
|
|
PyErr_Clear();
|
|
else
|
|
return NULL;
|
|
}
|
|
}
|
|
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));
|
|
}
|
|
|
|
static void __Pyx_RaiseBufferFallbackError(void) {
|
|
PyErr_SetString(PyExc_ValueError,
|
|
"Buffer acquisition failed on assignment; and then reacquiring the old buffer failed too!");
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
|
|
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
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) / 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);
|
|
}
|
|
|
|
#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);
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
|
|
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
|
|
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
|
|
return -1;
|
|
}
|
|
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
|
|
PyObject *obj = view->obj;
|
|
if (!obj) return;
|
|
if (PyObject_CheckBuffer(obj)) {
|
|
PyBuffer_Release(view);
|
|
return;
|
|
}
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; }
|
|
Py_DECREF(obj);
|
|
view->obj = NULL;
|
|
}
|
|
#endif
|
|
|
|
|
|
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value) \
|
|
{ \
|
|
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 (is_unsigned && unlikely(value < zero)) \
|
|
goto raise_neg_overflow; \
|
|
else \
|
|
goto raise_overflow; \
|
|
} \
|
|
} \
|
|
return (target_type) value; \
|
|
}
|
|
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
#include "longintrepr.h"
|
|
#endif
|
|
#endif
|
|
|
|
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 = 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_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(Py_intptr_t, digit, ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#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(Py_intptr_t, unsigned long, PyLong_AsUnsignedLong(x))
|
|
} else if (sizeof(Py_intptr_t) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(Py_intptr_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
}
|
|
} else {
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(Py_intptr_t, digit, +(((PyLongObject*)x)->ob_digit[0]));
|
|
case -1: __PYX_VERIFY_RETURN_INT(Py_intptr_t, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#endif
|
|
if (sizeof(Py_intptr_t) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(Py_intptr_t, long, PyLong_AsLong(x))
|
|
} else if (sizeof(Py_intptr_t) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(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_Int(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_Int(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;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
|
|
const int neg_one = (int) -1, const_zero = 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_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(int, digit, ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#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(int, unsigned long, PyLong_AsUnsignedLong(x))
|
|
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
}
|
|
} else {
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +(((PyLongObject*)x)->ob_digit[0]));
|
|
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#endif
|
|
if (sizeof(int) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(int, long, PyLong_AsLong(x))
|
|
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(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_Int(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_Int(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;
|
|
}
|
|
|
|
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); /* 1 or b */
|
|
b *= b;
|
|
e >>= 1;
|
|
}
|
|
return t;
|
|
}
|
|
|
|
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 = 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);
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
|
|
const int neg_one = (int) -1, const_zero = 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);
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
|
|
const long neg_one = (long) -1, const_zero = 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);
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_npy_int32(npy_int32 value) {
|
|
const npy_int32 neg_one = (npy_int32) -1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (is_unsigned) {
|
|
if (sizeof(npy_int32) < sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
} else if (sizeof(npy_int32) <= sizeof(unsigned long)) {
|
|
return PyLong_FromUnsignedLong((unsigned long) value);
|
|
} else if (sizeof(npy_int32) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
|
|
}
|
|
} else {
|
|
if (sizeof(npy_int32) <= sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
} else if (sizeof(npy_int32) <= 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(npy_int32),
|
|
little, !is_unsigned);
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE npy_int32 __Pyx_PyInt_As_npy_int32(PyObject *x) {
|
|
const npy_int32 neg_one = (npy_int32) -1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x))) {
|
|
if (sizeof(npy_int32) < sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(npy_int32, long, PyInt_AS_LONG(x))
|
|
} else {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
return (npy_int32) val;
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(npy_int32, digit, ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
#else
|
|
{
|
|
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
|
|
if (unlikely(result < 0))
|
|
return (npy_int32) -1;
|
|
if (unlikely(result == 1))
|
|
goto raise_neg_overflow;
|
|
}
|
|
#endif
|
|
if (sizeof(npy_int32) <= sizeof(unsigned long)) {
|
|
__PYX_VERIFY_RETURN_INT(npy_int32, unsigned long, PyLong_AsUnsignedLong(x))
|
|
} else if (sizeof(npy_int32) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(npy_int32, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
}
|
|
} else {
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(npy_int32, digit, +(((PyLongObject*)x)->ob_digit[0]));
|
|
case -1: __PYX_VERIFY_RETURN_INT(npy_int32, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#endif
|
|
if (sizeof(npy_int32) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(npy_int32, long, PyLong_AsLong(x))
|
|
} else if (sizeof(npy_int32) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(npy_int32, 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
|
|
npy_int32 val;
|
|
PyObject *v = __Pyx_PyNumber_Int(x);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(v) && !PyLong_Check(v)) {
|
|
PyObject *tmp = v;
|
|
v = PyNumber_Long(tmp);
|
|
Py_DECREF(tmp);
|
|
}
|
|
#endif
|
|
if (likely(v)) {
|
|
int one = 1; int is_little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
int ret = _PyLong_AsByteArray((PyLongObject *)v,
|
|
bytes, sizeof(val),
|
|
is_little, !is_unsigned);
|
|
Py_DECREF(v);
|
|
if (likely(!ret))
|
|
return val;
|
|
}
|
|
#endif
|
|
return (npy_int32) -1;
|
|
}
|
|
} else {
|
|
npy_int32 val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (npy_int32) -1;
|
|
val = __Pyx_PyInt_As_npy_int32(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
raise_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to npy_int32");
|
|
return (npy_int32) -1;
|
|
raise_neg_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to npy_int32");
|
|
return (npy_int32) -1;
|
|
}
|
|
|
|
#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
|
|
|
|
#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
|
|
|
|
#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
|
|
|
|
#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
|
|
|
|
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
|
|
const long neg_one = (long) -1, const_zero = 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_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(long, digit, ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#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(long, unsigned long, PyLong_AsUnsignedLong(x))
|
|
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
}
|
|
} else {
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +(((PyLongObject*)x)->ob_digit[0]));
|
|
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
|
|
}
|
|
#endif
|
|
#endif
|
|
if (sizeof(long) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(long, long, PyLong_AsLong(x))
|
|
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT(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_Int(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_Int(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;
|
|
}
|
|
|
|
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;
|
|
}
|
|
|
|
#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
|
|
|
|
#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",
|
|
module_name, class_name);
|
|
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",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
return (PyTypeObject *)result;
|
|
bad:
|
|
Py_XDECREF(py_module);
|
|
Py_XDECREF(result);
|
|
return NULL;
|
|
}
|
|
#endif
|
|
|
|
#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
|
|
|
|
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 __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
|
|
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_Int(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 Py_INCREF(x), 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)))
|
|
return PyInt_AS_LONG(b);
|
|
#endif
|
|
if (likely(PyLong_CheckExact(b))) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
switch (Py_SIZE(b)) {
|
|
case -1: return -(sdigit)((PyLongObject*)b)->ob_digit[0];
|
|
case 0: return 0;
|
|
case 1: return ((PyLongObject*)b)->ob_digit[0];
|
|
}
|
|
#endif
|
|
#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 */
|