12163 lines
493 KiB
C
12163 lines
493 KiB
C
/* Generated by Cython 0.15.1 on Tue Mar 20 14:57:24 2012 */
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#define PY_SSIZE_T_CLEAN
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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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#else
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#include <stddef.h> /* For offsetof */
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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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#if PY_VERSION_HEX < 0x02040000
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#define METH_COEXIST 0
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#define PyDict_CheckExact(op) (Py_TYPE(op) == &PyDict_Type)
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#define PyDict_Contains(d,o) PySequence_Contains(d,o)
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#endif
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#if PY_VERSION_HEX < 0x02050000
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typedef int Py_ssize_t;
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#define PY_SSIZE_T_MAX INT_MAX
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#define PY_SSIZE_T_MIN INT_MIN
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#define PY_FORMAT_SIZE_T ""
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#define PyInt_FromSsize_t(z) PyInt_FromLong(z)
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#define PyInt_AsSsize_t(o) __Pyx_PyInt_AsInt(o)
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#define PyNumber_Index(o) PyNumber_Int(o)
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#define PyIndex_Check(o) PyNumber_Check(o)
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#define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message)
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#endif
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#if PY_VERSION_HEX < 0x02060000
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#define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt)
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#define Py_TYPE(ob) (((PyObject*)(ob))->ob_type)
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#define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size)
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#define PyVarObject_HEAD_INIT(type, size) \
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PyObject_HEAD_INIT(type) size,
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#define PyType_Modified(t)
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typedef struct {
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void *buf;
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PyObject *obj;
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Py_ssize_t len;
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Py_ssize_t itemsize;
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int readonly;
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int ndim;
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char *format;
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Py_ssize_t *shape;
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Py_ssize_t *strides;
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Py_ssize_t *suboffsets;
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void *internal;
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} Py_buffer;
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#define PyBUF_SIMPLE 0
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#define PyBUF_WRITABLE 0x0001
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#define PyBUF_FORMAT 0x0004
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#define PyBUF_ND 0x0008
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#define PyBUF_STRIDES (0x0010 | PyBUF_ND)
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#define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES)
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#define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES)
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#define PyBUF_ANY_CONTIGUOUS (0x0080 | PyBUF_STRIDES)
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#define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES)
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#endif
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#if PY_MAJOR_VERSION < 3
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#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
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#else
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define Py_TPFLAGS_CHECKTYPES 0
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#define Py_TPFLAGS_HAVE_INDEX 0
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#endif
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#if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3)
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#define Py_TPFLAGS_HAVE_NEWBUFFER 0
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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_VERSION_HEX < 0x02060000
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#define PyBytesObject PyStringObject
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#define PyBytes_Type PyString_Type
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#define PyBytes_Check PyString_Check
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#define PyBytes_CheckExact PyString_CheckExact
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#define PyBytes_FromString PyString_FromString
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#define PyBytes_FromStringAndSize PyString_FromStringAndSize
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#define PyBytes_FromFormat PyString_FromFormat
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#define PyBytes_DecodeEscape PyString_DecodeEscape
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#define PyBytes_AsString PyString_AsString
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#define PyBytes_AsStringAndSize PyString_AsStringAndSize
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#define PyBytes_Size PyString_Size
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#define PyBytes_AS_STRING PyString_AS_STRING
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#define PyBytes_GET_SIZE PyString_GET_SIZE
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#define PyBytes_Repr PyString_Repr
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#define PyBytes_Concat PyString_Concat
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#define PyBytes_ConcatAndDel PyString_ConcatAndDel
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#endif
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#if PY_VERSION_HEX < 0x02060000
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#define PySet_Check(obj) PyObject_TypeCheck(obj, &PySet_Type)
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#define PyFrozenSet_Check(obj) PyObject_TypeCheck(obj, &PyFrozenSet_Type)
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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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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyBoolObject PyLongObject
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#endif
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#if PY_VERSION_HEX < 0x03020000
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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_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#else
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#endif
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#if (PY_MAJOR_VERSION < 3) || (PY_VERSION_HEX >= 0x03010300)
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#define __Pyx_PySequence_GetSlice(obj, a, b) PySequence_GetSlice(obj, a, b)
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#define __Pyx_PySequence_SetSlice(obj, a, b, value) PySequence_SetSlice(obj, a, b, value)
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#define __Pyx_PySequence_DelSlice(obj, a, b) PySequence_DelSlice(obj, a, b)
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#else
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#define __Pyx_PySequence_GetSlice(obj, a, b) (unlikely(!(obj)) ? \
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(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), (PyObject*)0) : \
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \
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(PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", (obj)->ob_type->tp_name), (PyObject*)0)))
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#define __Pyx_PySequence_SetSlice(obj, a, b, value) (unlikely(!(obj)) ? \
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(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_SetSlice(obj, a, b, value)) : \
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(PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice assignment", (obj)->ob_type->tp_name), -1)))
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#define __Pyx_PySequence_DelSlice(obj, a, b) (unlikely(!(obj)) ? \
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(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_DelSlice(obj, a, b)) : \
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(PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice deletion", (obj)->ob_type->tp_name), -1)))
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
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#endif
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#if PY_VERSION_HEX < 0x02050000
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#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),((char *)(n)))
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#define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),((char *)(n)),(a))
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#define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),((char *)(n)))
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#else
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#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n))
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#define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),(n),(a))
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#define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),(n))
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#endif
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#if PY_VERSION_HEX < 0x02050000
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#define __Pyx_NAMESTR(n) ((char *)(n))
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#define __Pyx_DOCSTR(n) ((char *)(n))
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#else
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#define __Pyx_NAMESTR(n) (n)
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#define __Pyx_DOCSTR(n) (n)
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#endif
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#ifndef __PYX_EXTERN_C
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#ifdef __cplusplus
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#define __PYX_EXTERN_C extern "C"
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#else
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#define __PYX_EXTERN_C extern
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#endif
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#endif
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#if defined(WIN32) || defined(MS_WINDOWS)
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#define _USE_MATH_DEFINES
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#endif
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#include <math.h>
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#define __PYX_HAVE__sklearn__tree___tree
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#define __PYX_HAVE_API__sklearn__tree___tree
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#include "stdio.h"
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#include "stdlib.h"
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#include "numpy/arrayobject.h"
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#include "numpy/ufuncobject.h"
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#include "math.h"
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#include "float.h"
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#ifdef _OPENMP
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#include <omp.h>
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#endif /* _OPENMP */
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#ifdef PYREX_WITHOUT_ASSERTIONS
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#define CYTHON_WITHOUT_ASSERTIONS
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#endif
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/* inline attribute */
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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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/* unused attribute */
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#ifndef CYTHON_UNUSED
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# if defined(__GNUC__)
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# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
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# define CYTHON_UNUSED __attribute__ ((__unused__))
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# else
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# define CYTHON_UNUSED
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# endif
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# elif defined(__ICC) || defined(__INTEL_COMPILER)
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# define CYTHON_UNUSED __attribute__ ((__unused__))
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# else
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# define CYTHON_UNUSED
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# endif
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#endif
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typedef struct {PyObject **p; char *s; const long n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/
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/* Type Conversion Predeclarations */
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#define __Pyx_PyBytes_FromUString(s) PyBytes_FromString((char*)s)
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#define __Pyx_PyBytes_AsUString(s) ((unsigned char*) PyBytes_AsString(s))
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#define __Pyx_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None)
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#define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False))
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static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
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static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x);
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static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
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static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
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static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*);
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#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
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#ifdef __GNUC__
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/* Test for GCC > 2.95 */
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#if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))
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#define likely(x) __builtin_expect(!!(x), 1)
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#define unlikely(x) __builtin_expect(!!(x), 0)
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#else /* __GNUC__ > 2 ... */
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#define likely(x) (x)
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#define unlikely(x) (x)
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#endif /* __GNUC__ > 2 ... */
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#else /* __GNUC__ */
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#define likely(x) (x)
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#define unlikely(x) (x)
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#endif /* __GNUC__ */
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static PyObject *__pyx_m;
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static PyObject *__pyx_b;
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static PyObject *__pyx_empty_tuple;
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static PyObject *__pyx_empty_bytes;
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static int __pyx_lineno;
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static int __pyx_clineno = 0;
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static const char * __pyx_cfilenm= __FILE__;
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static const char *__pyx_filename;
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#if !defined(CYTHON_CCOMPLEX)
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#if defined(__cplusplus)
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#define CYTHON_CCOMPLEX 1
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#elif defined(_Complex_I)
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#define CYTHON_CCOMPLEX 1
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#else
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#define CYTHON_CCOMPLEX 0
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#endif
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#endif
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#if CYTHON_CCOMPLEX
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#ifdef __cplusplus
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#include <complex>
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#else
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#include <complex.h>
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#endif
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#endif
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#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
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#undef _Complex_I
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#define _Complex_I 1.0fj
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#endif
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static const char *__pyx_f[] = {
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"_tree.pyx",
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"numpy.pxd",
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};
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/* "numpy.pxd":719
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* # in Cython to enable them only on the right systems.
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*
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* ctypedef npy_int8 int8_t # <<<<<<<<<<<<<<
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* ctypedef npy_int16 int16_t
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* ctypedef npy_int32 int32_t
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*/
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typedef npy_int8 __pyx_t_5numpy_int8_t;
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/* "numpy.pxd":720
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*
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* ctypedef npy_int8 int8_t
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* ctypedef npy_int16 int16_t # <<<<<<<<<<<<<<
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* ctypedef npy_int32 int32_t
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* ctypedef npy_int64 int64_t
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*/
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typedef npy_int16 __pyx_t_5numpy_int16_t;
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|
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/* "numpy.pxd":721
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* ctypedef npy_int8 int8_t
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* ctypedef npy_int16 int16_t
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* ctypedef npy_int32 int32_t # <<<<<<<<<<<<<<
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* ctypedef npy_int64 int64_t
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* #ctypedef npy_int96 int96_t
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|
*/
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typedef npy_int32 __pyx_t_5numpy_int32_t;
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|
|
|
/* "numpy.pxd":722
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* ctypedef npy_int16 int16_t
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* ctypedef npy_int32 int32_t
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* ctypedef npy_int64 int64_t # <<<<<<<<<<<<<<
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* #ctypedef npy_int96 int96_t
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* #ctypedef npy_int128 int128_t
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*/
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typedef npy_int64 __pyx_t_5numpy_int64_t;
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/* "numpy.pxd":726
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* #ctypedef npy_int128 int128_t
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*
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* ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<<
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* ctypedef npy_uint16 uint16_t
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* ctypedef npy_uint32 uint32_t
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*/
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typedef npy_uint8 __pyx_t_5numpy_uint8_t;
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|
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/* "numpy.pxd":727
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*
|
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* ctypedef npy_uint8 uint8_t
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* ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<<
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* ctypedef npy_uint32 uint32_t
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* ctypedef npy_uint64 uint64_t
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*/
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typedef npy_uint16 __pyx_t_5numpy_uint16_t;
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/* "numpy.pxd":728
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* ctypedef npy_uint8 uint8_t
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* ctypedef npy_uint16 uint16_t
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* ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<<
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* ctypedef npy_uint64 uint64_t
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* #ctypedef npy_uint96 uint96_t
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*/
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typedef npy_uint32 __pyx_t_5numpy_uint32_t;
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/* "numpy.pxd":729
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* ctypedef npy_uint16 uint16_t
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* ctypedef npy_uint32 uint32_t
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* ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<<
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* #ctypedef npy_uint96 uint96_t
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* #ctypedef npy_uint128 uint128_t
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*/
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typedef npy_uint64 __pyx_t_5numpy_uint64_t;
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/* "numpy.pxd":733
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* #ctypedef npy_uint128 uint128_t
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*
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* ctypedef npy_float32 float32_t # <<<<<<<<<<<<<<
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* ctypedef npy_float64 float64_t
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* #ctypedef npy_float80 float80_t
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*/
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typedef npy_float32 __pyx_t_5numpy_float32_t;
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/* "numpy.pxd":734
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*
|
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* ctypedef npy_float32 float32_t
|
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* ctypedef npy_float64 float64_t # <<<<<<<<<<<<<<
|
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* #ctypedef npy_float80 float80_t
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* #ctypedef npy_float128 float128_t
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*/
|
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typedef npy_float64 __pyx_t_5numpy_float64_t;
|
|
|
|
/* "numpy.pxd":743
|
|
* # 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;
|
|
|
|
/* "numpy.pxd":744
|
|
* # 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;
|
|
|
|
/* "numpy.pxd":745
|
|
* 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;
|
|
|
|
/* "numpy.pxd":747
|
|
* 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;
|
|
|
|
/* "numpy.pxd":748
|
|
*
|
|
* ctypedef npy_ulong uint_t
|
|
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
|
|
|
|
/* "numpy.pxd":749
|
|
* 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;
|
|
|
|
/* "numpy.pxd":751
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uintp uintp_t
|
|
*
|
|
*/
|
|
typedef npy_intp __pyx_t_5numpy_intp_t;
|
|
|
|
/* "numpy.pxd":752
|
|
*
|
|
* ctypedef npy_intp intp_t
|
|
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_double float_t
|
|
*/
|
|
typedef npy_uintp __pyx_t_5numpy_uintp_t;
|
|
|
|
/* "numpy.pxd":754
|
|
* 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;
|
|
|
|
/* "numpy.pxd":755
|
|
*
|
|
* ctypedef npy_double float_t
|
|
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_double_t;
|
|
|
|
/* "numpy.pxd":756
|
|
* 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/_tree.pyx":17
|
|
* # Define a datatype for the data array
|
|
* DTYPE = np.float32
|
|
* ctypedef np.float32_t DTYPE_t # <<<<<<<<<<<<<<
|
|
* ctypedef np.int8_t BOOL_t
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_float32_t __pyx_t_7sklearn_4tree_5_tree_DTYPE_t;
|
|
|
|
/* "sklearn/tree/_tree.pyx":18
|
|
* DTYPE = np.float32
|
|
* ctypedef np.float32_t DTYPE_t
|
|
* ctypedef np.int8_t BOOL_t # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef extern from "math.h":
|
|
*/
|
|
typedef __pyx_t_5numpy_int8_t __pyx_t_7sklearn_4tree_5_tree_BOOL_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_5_tree_Criterion;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Gini;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Entropy;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion;
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_MSE;
|
|
|
|
/* "numpy.pxd":758
|
|
* 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;
|
|
|
|
/* "numpy.pxd":759
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
|
|
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
|
|
|
|
/* "numpy.pxd":760
|
|
* 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;
|
|
|
|
/* "numpy.pxd":762
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef inline object PyArray_MultiIterNew1(a):
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_complex_t;
|
|
|
|
/* "sklearn/tree/_tree.pyx":40
|
|
* # be the proportion of class k observations in node m
|
|
*
|
|
* cdef class Criterion: # <<<<<<<<<<<<<<
|
|
* """Interface for splitting criteria (regression and classification)"""
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *__pyx_vtab;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":67
|
|
*
|
|
*
|
|
* cdef class ClassificationCriterion(Criterion): # <<<<<<<<<<<<<<
|
|
* """Abstract criterion for classification.
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion __pyx_base;
|
|
int n_classes;
|
|
int n_samples;
|
|
int *label_count_left;
|
|
int *label_count_right;
|
|
int *label_count_init;
|
|
int n_left;
|
|
int n_right;
|
|
PyObject *ndarray_label_count_left;
|
|
PyObject *ndarray_label_count_right;
|
|
PyObject *ndarray_label_count_init;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":181
|
|
*
|
|
*
|
|
* cdef class Gini(ClassificationCriterion): # <<<<<<<<<<<<<<
|
|
* """Gini Index splitting criteria.
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Gini {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":217
|
|
*
|
|
*
|
|
* cdef class Entropy(ClassificationCriterion): # <<<<<<<<<<<<<<
|
|
* """Entropy splitting criteria.
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Entropy {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":245
|
|
*
|
|
*
|
|
* cdef class RegressionCriterion(Criterion): # <<<<<<<<<<<<<<
|
|
* """Abstract criterion for regression. Computes variance of the
|
|
* target values left and right of the split point.
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion __pyx_base;
|
|
int n_samples;
|
|
int n_right;
|
|
int n_left;
|
|
double mean_left;
|
|
double mean_right;
|
|
double mean_init;
|
|
double sq_sum_right;
|
|
double sq_sum_left;
|
|
double sq_sum_init;
|
|
double var_left;
|
|
double var_right;
|
|
};
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":394
|
|
*
|
|
*
|
|
* cdef class MSE(RegressionCriterion): # <<<<<<<<<<<<<<
|
|
* """Mean squared error impurity criterion.
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_MSE {
|
|
struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion __pyx_base;
|
|
};
|
|
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":40
|
|
* # be the proportion of class k observations in node m
|
|
*
|
|
* cdef class Criterion: # <<<<<<<<<<<<<<
|
|
* """Interface for splitting criteria (regression and classification)"""
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion {
|
|
void (*init)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, int);
|
|
void (*reset)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *);
|
|
int (*update)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *);
|
|
double (*eval)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *);
|
|
PyArrayObject *(*init_value)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int __pyx_skip_dispatch);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *__pyx_vtabptr_7sklearn_4tree_5_tree_Criterion;
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":245
|
|
*
|
|
*
|
|
* cdef class RegressionCriterion(Criterion): # <<<<<<<<<<<<<<
|
|
* """Abstract criterion for regression. Computes variance of the
|
|
* target values left and right of the split point.
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion;
|
|
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":394
|
|
*
|
|
*
|
|
* cdef class MSE(RegressionCriterion): # <<<<<<<<<<<<<<
|
|
* """Mean squared error impurity criterion.
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_MSE {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_MSE *__pyx_vtabptr_7sklearn_4tree_5_tree_MSE;
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":67
|
|
*
|
|
*
|
|
* cdef class ClassificationCriterion(Criterion): # <<<<<<<<<<<<<<
|
|
* """Abstract criterion for classification.
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion *__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":181
|
|
*
|
|
*
|
|
* cdef class Gini(ClassificationCriterion): # <<<<<<<<<<<<<<
|
|
* """Gini Index splitting criteria.
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Gini {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Gini *__pyx_vtabptr_7sklearn_4tree_5_tree_Gini;
|
|
|
|
|
|
/* "sklearn/tree/_tree.pyx":217
|
|
*
|
|
*
|
|
* cdef class Entropy(ClassificationCriterion): # <<<<<<<<<<<<<<
|
|
* """Entropy splitting criteria.
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Entropy {
|
|
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Entropy *__pyx_vtabptr_7sklearn_4tree_5_tree_Entropy;
|
|
|
|
#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); /*proto*/
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#define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
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#define __Pyx_RefNannySetupContext(name) __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
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#define __Pyx_RefNannyFinishContext() __Pyx_RefNanny->FinishContext(&__pyx_refnanny)
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#define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
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#define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
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#define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
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#define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
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#define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
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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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#else
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#define __Pyx_RefNannyDeclarations
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#define __Pyx_RefNannySetupContext(name)
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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)
|
|
#define __Pyx_XGIVEREF(r)
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#endif /* CYTHON_REFNANNY */
|
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|
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static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name); /*proto*/
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|
|
|
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/
|
|
|
|
static void __Pyx_RaiseDoubleKeywordsError(
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|
const char* func_name, PyObject* kw_name); /*proto*/
|
|
|
|
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name); /*proto*/
|
|
|
|
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
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Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); /*proto*/
|
|
|
|
/* Run-time type information about structs used with buffers */
|
|
struct __Pyx_StructField_;
|
|
|
|
typedef struct {
|
|
const char* name; /* for error messages only */
|
|
struct __Pyx_StructField_* fields;
|
|
size_t size; /* sizeof(type) */
|
|
char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject */
|
|
} __Pyx_TypeInfo;
|
|
|
|
typedef struct __Pyx_StructField_ {
|
|
__Pyx_TypeInfo* type;
|
|
const char* name;
|
|
size_t offset;
|
|
} __Pyx_StructField;
|
|
|
|
typedef struct {
|
|
__Pyx_StructField* field;
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size_t parent_offset;
|
|
} __Pyx_BufFmt_StackElem;
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|
|
|
|
|
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack);
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static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);
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static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/
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static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/
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static CYTHON_INLINE int __Pyx_CheckKeywordStrings(PyObject *kwdict,
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const char* function_name, int kw_allowed); /*proto*/
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#define __Pyx_BufPtrCContig1d(type, buf, i0, s0) ((type)buf + i0)
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static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
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const char *name, int exact); /*proto*/
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#define __Pyx_BufPtrStrided2d(type, buf, i0, s0, i1, s1) (type)((char*)buf + i0 * s0 + i1 * s1)
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#define __Pyx_BufPtrStrided1d(type, buf, i0, s0) (type)((char*)buf + i0 * s0)
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static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/
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static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
|
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|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
|
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|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
|
|
|
|
static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); /*proto*/
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#if PY_MAJOR_VERSION < 3
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static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
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static void __Pyx_ReleaseBuffer(Py_buffer *view);
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#else
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#define __Pyx_GetBuffer PyObject_GetBuffer
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#define __Pyx_ReleaseBuffer PyBuffer_Release
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#endif
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Py_ssize_t __Pyx_zeros[] = {0, 0};
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Py_ssize_t __Pyx_minusones[] = {-1, -1};
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static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level); /*proto*/
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#if CYTHON_CCOMPLEX
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#ifdef __cplusplus
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#define __Pyx_CREAL(z) ((z).real())
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#define __Pyx_CIMAG(z) ((z).imag())
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#else
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#define __Pyx_CREAL(z) (__real__(z))
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#define __Pyx_CIMAG(z) (__imag__(z))
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#endif
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#else
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#define __Pyx_CREAL(z) ((z).real)
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#define __Pyx_CIMAG(z) ((z).imag)
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#endif
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#if defined(_WIN32) && defined(__cplusplus) && CYTHON_CCOMPLEX
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#define __Pyx_SET_CREAL(z,x) ((z).real(x))
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#define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
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#else
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#define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
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#define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
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#endif
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static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);
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#if CYTHON_CCOMPLEX
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#define __Pyx_c_eqf(a, b) ((a)==(b))
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#define __Pyx_c_sumf(a, b) ((a)+(b))
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#define __Pyx_c_difff(a, b) ((a)-(b))
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#define __Pyx_c_prodf(a, b) ((a)*(b))
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#define __Pyx_c_quotf(a, b) ((a)/(b))
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#define __Pyx_c_negf(a) (-(a))
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#ifdef __cplusplus
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#define __Pyx_c_is_zerof(z) ((z)==(float)0)
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#define __Pyx_c_conjf(z) (::std::conj(z))
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#if 1
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#define __Pyx_c_absf(z) (::std::abs(z))
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#define __Pyx_c_powf(a, b) (::std::pow(a, b))
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#endif
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#else
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#define __Pyx_c_is_zerof(z) ((z)==0)
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#define __Pyx_c_conjf(z) (conjf(z))
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#if 1
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#define __Pyx_c_absf(z) (cabsf(z))
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#define __Pyx_c_powf(a, b) (cpowf(a, b))
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#endif
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#endif
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#else
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static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex);
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static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex);
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#if 1
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static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex);
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static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex);
|
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#endif
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#endif
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static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
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#if CYTHON_CCOMPLEX
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#define __Pyx_c_eq(a, b) ((a)==(b))
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#define __Pyx_c_sum(a, b) ((a)+(b))
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#define __Pyx_c_diff(a, b) ((a)-(b))
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#define __Pyx_c_prod(a, b) ((a)*(b))
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#define __Pyx_c_quot(a, b) ((a)/(b))
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#define __Pyx_c_neg(a) (-(a))
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#ifdef __cplusplus
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|
#define __Pyx_c_is_zero(z) ((z)==(double)0)
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#define __Pyx_c_conj(z) (::std::conj(z))
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#if 1
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|
#define __Pyx_c_abs(z) (::std::abs(z))
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#define __Pyx_c_pow(a, b) (::std::pow(a, b))
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#endif
|
|
#else
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|
#define __Pyx_c_is_zero(z) ((z)==0)
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|
#define __Pyx_c_conj(z) (conj(z))
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#if 1
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|
#define __Pyx_c_abs(z) (cabs(z))
|
|
#define __Pyx_c_pow(a, b) (cpow(a, b))
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|
#endif
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|
#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);
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|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex);
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|
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex);
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static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex);
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|
#if 1
|
|
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex);
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|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
#endif
|
|
#endif
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static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject *);
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static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject *);
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static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject *);
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static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject *);
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static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject *);
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static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject *);
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static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject *);
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static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject *);
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static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject *);
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static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject *);
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static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject *);
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static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject *);
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static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject *);
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static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject *);
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static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject *);
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static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject *);
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|
|
|
static int __Pyx_check_binary_version(void);
|
|
|
|
static int __Pyx_SetVtable(PyObject *dict, void *vtable); /*proto*/
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|
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|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /*proto*/
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|
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static PyObject *__Pyx_ImportModule(const char *name); /*proto*/
|
|
|
|
static void __Pyx_AddTraceback(const char *funcname, int __pyx_clineno,
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int __pyx_lineno, const char *__pyx_filename); /*proto*/
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|
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); /*proto*/
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/* Module declarations from 'cython.cython.view' */
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/* Module declarations from 'cython' */
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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.stdio' */
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|
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/* Module declarations from 'cpython.object' */
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|
/* Module declarations from 'libc.stdlib' */
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|
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|
/* Module declarations from 'numpy' */
|
|
|
|
/* 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 PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *); /*proto*/
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|
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *, PyObject *); /*proto*/
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|
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *, PyObject *, PyObject *); /*proto*/
|
|
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *, PyObject *, PyObject *, PyObject *); /*proto*/
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|
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *, PyObject *, PyObject *, PyObject *, PyObject *); /*proto*/
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|
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
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|
static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *, PyObject *); /*proto*/
|
|
static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *); /*proto*/
|
|
|
|
/* Module declarations from 'sklearn.tree._tree' */
|
|
static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_Criterion = 0;
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|
static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_Gini = 0;
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|
static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_Entropy = 0;
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static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_RegressionCriterion = 0;
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|
static PyTypeObject *__pyx_ptype_7sklearn_4tree_5_tree_MSE = 0;
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static int __pyx_f_7sklearn_4tree_5_tree_smallest_sample_larger_than(int, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int); /*proto*/
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_int32_t = { "int32_t", NULL, sizeof(__pyx_t_5numpy_int32_t), 'I' };
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), 'R' };
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static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_4tree_5_tree_BOOL_t = { "BOOL_t", NULL, sizeof(__pyx_t_7sklearn_4tree_5_tree_BOOL_t), 'I' };
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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), 'R' };
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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_range;
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static PyObject *__pyx_builtin_xrange;
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static PyObject *__pyx_builtin_ValueError;
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static PyObject *__pyx_builtin_RuntimeError;
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static char __pyx_k_1[] = "ndarray is not C contiguous";
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static char __pyx_k_3[] = "ndarray is not Fortran contiguous";
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static char __pyx_k_5[] = "Non-native byte order not supported";
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static char __pyx_k_7[] = "unknown dtype code in numpy.pxd (%d)";
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static char __pyx_k_8[] = "Format string allocated too short, see comment in numpy.pxd";
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static char __pyx_k_11[] = "Format string allocated too short.";
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static char __pyx_k_13[] = "sklearn.tree._tree";
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|
static char __pyx_k_14[] = "_predict_regression_tree_inplace";
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static char __pyx_k_15[] = "_find_best_random_split";
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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";
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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__k[] = "k";
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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__out[] = "out";
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static char __pyx_k__bool[] = "bool";
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static char __pyx_k__int8[] = "int8";
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static char __pyx_k__pred[] = "pred";
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static char __pyx_k__rand[] = "rand";
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static char __pyx_k__DTYPE[] = "DTYPE";
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static char __pyx_k__dtype[] = "dtype";
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static char __pyx_k__int32[] = "int32";
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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__scale[] = "scale";
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static char __pyx_k__zeros[] = "zeros";
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static char __pyx_k__arange[] = "arange";
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static char __pyx_k__astype[] = "astype";
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static char __pyx_k__values[] = "values";
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static char __pyx_k__xrange[] = "xrange";
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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____main__[] = "__main__";
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static char __pyx_k____test__[] = "__test__";
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static char __pyx_k__children[] = "children";
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static char __pyx_k__min_leaf[] = "min_leaf";
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static char __pyx_k__criterion[] = "criterion";
|
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static char __pyx_k__n_classes[] = "n_classes";
|
|
static char __pyx_k__n_samples[] = "n_samples";
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|
static char __pyx_k__threshold[] = "threshold";
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static char __pyx_k__ValueError[] = "ValueError";
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static char __pyx_k__init_value[] = "init_value";
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static char __pyx_k__X_argsorted[] = "X_argsorted";
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static char __pyx_k___apply_tree[] = "_apply_tree";
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static char __pyx_k__permutation[] = "permutation";
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static char __pyx_k__sample_mask[] = "sample_mask";
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|
static char __pyx_k__RuntimeError[] = "RuntimeError";
|
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static char __pyx_k__max_features[] = "max_features";
|
|
static char __pyx_k__random_state[] = "random_state";
|
|
static char __pyx_k___predict_tree[] = "_predict_tree";
|
|
static char __pyx_k___error_at_leaf[] = "_error_at_leaf";
|
|
static char __pyx_k__n_total_in_bag[] = "n_total_in_bag";
|
|
static char __pyx_k__n_total_samples[] = "n_total_samples";
|
|
static char __pyx_k___find_best_split[] = "_find_best_split";
|
|
static char __pyx_k___random_sample_mask[] = "_random_sample_mask";
|
|
static PyObject *__pyx_kp_u_1;
|
|
static PyObject *__pyx_kp_u_11;
|
|
static PyObject *__pyx_n_s_13;
|
|
static PyObject *__pyx_n_s_14;
|
|
static PyObject *__pyx_n_s_15;
|
|
static PyObject *__pyx_kp_u_3;
|
|
static PyObject *__pyx_kp_u_5;
|
|
static PyObject *__pyx_kp_u_7;
|
|
static PyObject *__pyx_kp_u_8;
|
|
static PyObject *__pyx_n_s__C;
|
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static PyObject *__pyx_n_s__DTYPE;
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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_n_s__X_argsorted;
|
|
static PyObject *__pyx_n_s____main__;
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static PyObject *__pyx_n_s____test__;
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static PyObject *__pyx_n_s___apply_tree;
|
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static PyObject *__pyx_n_s___error_at_leaf;
|
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static PyObject *__pyx_n_s___find_best_split;
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static PyObject *__pyx_n_s___predict_tree;
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static PyObject *__pyx_n_s___random_sample_mask;
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static PyObject *__pyx_n_s__arange;
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static PyObject *__pyx_n_s__asarray;
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static PyObject *__pyx_n_s__astype;
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static PyObject *__pyx_n_s__bool;
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/* "sklearn/tree/_tree.pyx":117
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* self.n_classes = n_classes
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*/
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* self.n_samples = 0
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* self.label_count_right = <int*>ndarray_label_count_right.data
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*/
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((struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)__pyx_v_self)->n_right = 0;
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/* "sklearn/tree/_tree.pyx":119
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* self.n_left = 0
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* self.label_count_right = <int*>ndarray_label_count_right.data
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* self.label_count_init = <int*>ndarray_label_count_init.data
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*/
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((struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)__pyx_v_self)->label_count_left = ((int *)__pyx_v_ndarray_label_count_left->data);
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/* "sklearn/tree/_tree.pyx":120
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* self.n_right = 0
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* self.label_count_left = <int*>ndarray_label_count_left.data
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* self.label_count_right = <int*>ndarray_label_count_right.data # <<<<<<<<<<<<<<
|
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* self.label_count_init = <int*>ndarray_label_count_init.data
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* self.ndarray_label_count_left = ndarray_label_count_left
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*/
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((struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)__pyx_v_self)->label_count_right = ((int *)__pyx_v_ndarray_label_count_right->data);
|
|
|
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/* "sklearn/tree/_tree.pyx":121
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|
* self.label_count_left = <int*>ndarray_label_count_left.data
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* self.label_count_right = <int*>ndarray_label_count_right.data
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* self.label_count_init = <int*>ndarray_label_count_init.data # <<<<<<<<<<<<<<
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* self.ndarray_label_count_left = ndarray_label_count_left
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* self.ndarray_label_count_right = ndarray_label_count_right
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*/
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((struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)__pyx_v_self)->label_count_init = ((int *)__pyx_v_ndarray_label_count_init->data);
|
|
|
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/* "sklearn/tree/_tree.pyx":122
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|
* self.label_count_right = <int*>ndarray_label_count_right.data
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|
* self.label_count_init = <int*>ndarray_label_count_init.data
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* self.ndarray_label_count_left = ndarray_label_count_left # <<<<<<<<<<<<<<
|
|
* self.ndarray_label_count_right = ndarray_label_count_right
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|
* self.ndarray_label_count_init = ndarray_label_count_init
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*/
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__Pyx_INCREF(((PyObject *)__pyx_v_ndarray_label_count_left));
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/* "sklearn/tree/_tree.pyx":123
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* self.label_count_init = <int*>ndarray_label_count_init.data
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* self.ndarray_label_count_left = ndarray_label_count_left
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* self.ndarray_label_count_right = ndarray_label_count_right # <<<<<<<<<<<<<<
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* self.ndarray_label_count_init = ndarray_label_count_init
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*
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*/
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__Pyx_INCREF(((PyObject *)__pyx_v_ndarray_label_count_right));
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((struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)__pyx_v_self)->ndarray_label_count_right = ((PyObject *)__pyx_v_ndarray_label_count_right);
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/* "sklearn/tree/_tree.pyx":124
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* self.ndarray_label_count_left = ndarray_label_count_left
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*
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*
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/* "sklearn/tree/_tree.pyx":163
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* # post condition: all samples from [0:b) are on the left side
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/* "sklearn/tree/_tree.pyx":164
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/* "sklearn/tree/_tree.pyx":165
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/* "sklearn/tree/_tree.pyx":166
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|
|
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|
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|
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/* "sklearn/tree/_tree.pyx":197
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|
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* for k from 0 <= k < self.n_classes:
|
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|
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|
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/* "sklearn/tree/_tree.pyx":199
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* count_left = self.label_count_left[k]
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* if count_left > 0:
|
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* H_left -= (count_left * count_left) # <<<<<<<<<<<<<<
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|
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__pyx_L5:;
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/* "sklearn/tree/_tree.pyx":200
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* if count_left > 0:
|
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* H_left -= (count_left * count_left)
|
|
* count_right = self.label_count_right[k] # <<<<<<<<<<<<<<
|
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* if count_right > 0:
|
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* H_right -= (count_right * count_right)
|
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*/
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__pyx_v_count_right = (__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]);
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/* "sklearn/tree/_tree.pyx":201
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* H_left -= (count_left * count_left)
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* count_right = self.label_count_right[k]
|
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* if count_right > 0: # <<<<<<<<<<<<<<
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* H_right -= (count_right * count_right)
|
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*
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*/
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__pyx_t_2 = (__pyx_v_count_right > 0);
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if (__pyx_t_2) {
|
|
|
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/* "sklearn/tree/_tree.pyx":202
|
|
* count_right = self.label_count_right[k]
|
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* if count_right > 0:
|
|
* H_right -= (count_right * count_right) # <<<<<<<<<<<<<<
|
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*
|
|
* if n_left == 0:
|
|
*/
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goto __pyx_L6;
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__pyx_L6:;
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}
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|
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/* "sklearn/tree/_tree.pyx":204
|
|
* H_right -= (count_right * count_right)
|
|
*
|
|
* if n_left == 0: # <<<<<<<<<<<<<<
|
|
* H_left = 0
|
|
* else:
|
|
*/
|
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__pyx_t_2 = (__pyx_v_n_left == 0.0);
|
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if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":205
|
|
*
|
|
* if n_left == 0:
|
|
* H_left = 0 # <<<<<<<<<<<<<<
|
|
* else:
|
|
* H_left /= n_left
|
|
*/
|
|
__pyx_v_H_left = 0.0;
|
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goto __pyx_L7;
|
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|
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/*else*/ {
|
|
|
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/* "sklearn/tree/_tree.pyx":207
|
|
* H_left = 0
|
|
* else:
|
|
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|
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*
|
|
* if n_right == 0:
|
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__pyx_v_H_left = (__pyx_v_H_left / __pyx_v_n_left);
|
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|
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__pyx_L7:;
|
|
|
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/* "sklearn/tree/_tree.pyx":209
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|
* H_left /= n_left
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|
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* if n_right == 0: # <<<<<<<<<<<<<<
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* H_right = 0
|
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* else:
|
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*/
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if (__pyx_t_2) {
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|
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/* "sklearn/tree/_tree.pyx":210
|
|
*
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* if n_right == 0:
|
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* H_right = 0 # <<<<<<<<<<<<<<
|
|
* else:
|
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* H_right /= n_right
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goto __pyx_L8;
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|
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/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":212
|
|
* H_right = 0
|
|
* else:
|
|
* H_right /= n_right # <<<<<<<<<<<<<<
|
|
*
|
|
* return (H_left + H_right) / self.n_samples
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*/
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|
|
}
|
|
__pyx_L8:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":214
|
|
* H_right /= n_right
|
|
*
|
|
* return (H_left + H_right) / self.n_samples # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
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__pyx_r = ((__pyx_v_H_left + __pyx_v_H_right) / __pyx_v_self->__pyx_base.n_samples);
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/* "sklearn/tree/_tree.pyx":223
|
|
* """
|
|
*
|
|
* cdef double eval(self): # <<<<<<<<<<<<<<
|
|
* """Returns Entropy of left branch + Entropy index of right branch. """
|
|
* cdef double H_left = 0.0
|
|
*/
|
|
|
|
static double __pyx_f_7sklearn_4tree_5_tree_7Entropy_eval(struct __pyx_obj_7sklearn_4tree_5_tree_Entropy *__pyx_v_self) {
|
|
double __pyx_v_H_left;
|
|
double __pyx_v_H_right;
|
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int __pyx_v_k;
|
|
double __pyx_v_e1;
|
|
double __pyx_v_e2;
|
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__Pyx_RefNannyDeclarations
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/* "sklearn/tree/_tree.pyx":225
|
|
* cdef double eval(self):
|
|
* """Returns Entropy of left branch + Entropy index of right branch. """
|
|
* cdef double H_left = 0.0 # <<<<<<<<<<<<<<
|
|
* cdef double H_right = 0.0
|
|
* cdef int k
|
|
*/
|
|
__pyx_v_H_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":226
|
|
* """Returns Entropy of left branch + Entropy index of right branch. """
|
|
* cdef double H_left = 0.0
|
|
* cdef double H_right = 0.0 # <<<<<<<<<<<<<<
|
|
* cdef int k
|
|
* cdef double e1, e2
|
|
*/
|
|
__pyx_v_H_right = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":229
|
|
* cdef int k
|
|
* cdef double e1, e2
|
|
* cdef double n_left = <double> self.n_left # <<<<<<<<<<<<<<
|
|
* cdef double n_right = <double> self.n_right
|
|
*
|
|
*/
|
|
__pyx_v_n_left = ((double)__pyx_v_self->__pyx_base.n_left);
|
|
|
|
/* "sklearn/tree/_tree.pyx":230
|
|
* cdef double e1, e2
|
|
* cdef double n_left = <double> self.n_left
|
|
* cdef double n_right = <double> self.n_right # <<<<<<<<<<<<<<
|
|
*
|
|
* for k from 0 <= k < self.n_classes:
|
|
*/
|
|
__pyx_v_n_right = ((double)__pyx_v_self->__pyx_base.n_right);
|
|
|
|
/* "sklearn/tree/_tree.pyx":232
|
|
* cdef double n_right = <double> self.n_right
|
|
*
|
|
* for k from 0 <= k < self.n_classes: # <<<<<<<<<<<<<<
|
|
* if self.label_count_left[k] > 0:
|
|
* H_left -= ((self.label_count_left[k] / n_left)
|
|
*/
|
|
__pyx_t_1 = __pyx_v_self->__pyx_base.n_classes;
|
|
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":233
|
|
*
|
|
* for k from 0 <= k < self.n_classes:
|
|
* if self.label_count_left[k] > 0: # <<<<<<<<<<<<<<
|
|
* H_left -= ((self.label_count_left[k] / n_left)
|
|
* * log(self.label_count_left[k] / n_left))
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_self->__pyx_base.label_count_left[__pyx_v_k]) > 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":235
|
|
* if self.label_count_left[k] > 0:
|
|
* H_left -= ((self.label_count_left[k] / n_left)
|
|
* * log(self.label_count_left[k] / n_left)) # <<<<<<<<<<<<<<
|
|
* if self.label_count_right[k] > 0:
|
|
* H_right -= ((self.label_count_right[k] / n_right)
|
|
*/
|
|
__pyx_v_H_left = (__pyx_v_H_left - (((__pyx_v_self->__pyx_base.label_count_left[__pyx_v_k]) / __pyx_v_n_left) * log(((__pyx_v_self->__pyx_base.label_count_left[__pyx_v_k]) / __pyx_v_n_left))));
|
|
goto __pyx_L5;
|
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}
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__pyx_L5:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":236
|
|
* H_left -= ((self.label_count_left[k] / n_left)
|
|
* * log(self.label_count_left[k] / n_left))
|
|
* if self.label_count_right[k] > 0: # <<<<<<<<<<<<<<
|
|
* H_right -= ((self.label_count_right[k] / n_right)
|
|
* * log(self.label_count_right[k] / n_right))
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]) > 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":238
|
|
* if self.label_count_right[k] > 0:
|
|
* H_right -= ((self.label_count_right[k] / n_right)
|
|
* * log(self.label_count_right[k] / n_right)) # <<<<<<<<<<<<<<
|
|
*
|
|
* e1 = (n_left / self.n_samples) * H_left
|
|
*/
|
|
__pyx_v_H_right = (__pyx_v_H_right - (((__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]) / __pyx_v_n_right) * log(((__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]) / __pyx_v_n_right))));
|
|
goto __pyx_L6;
|
|
}
|
|
__pyx_L6:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":240
|
|
* * log(self.label_count_right[k] / n_right))
|
|
*
|
|
* e1 = (n_left / self.n_samples) * H_left # <<<<<<<<<<<<<<
|
|
* e2 = (n_right / self.n_samples) * H_right
|
|
* return e1 + e2
|
|
*/
|
|
__pyx_v_e1 = ((__pyx_v_n_left / __pyx_v_self->__pyx_base.n_samples) * __pyx_v_H_left);
|
|
|
|
/* "sklearn/tree/_tree.pyx":241
|
|
*
|
|
* e1 = (n_left / self.n_samples) * H_left
|
|
* e2 = (n_right / self.n_samples) * H_right # <<<<<<<<<<<<<<
|
|
* return e1 + e2
|
|
*
|
|
*/
|
|
__pyx_v_e2 = ((__pyx_v_n_right / __pyx_v_self->__pyx_base.n_samples) * __pyx_v_H_right);
|
|
|
|
/* "sklearn/tree/_tree.pyx":242
|
|
* e1 = (n_left / self.n_samples) * H_left
|
|
* e2 = (n_right / self.n_samples) * H_right
|
|
* return e1 + e2 # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__pyx_r = (__pyx_v_e1 + __pyx_v_e2);
|
|
goto __pyx_L0;
|
|
|
|
__pyx_r = 0;
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
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return __pyx_r;
|
|
}
|
|
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|
/* "sklearn/tree/_tree.pyx":299
|
|
* cdef double var_right
|
|
*
|
|
* def __init__(self): # <<<<<<<<<<<<<<
|
|
* self.n_samples = 0
|
|
* self.n_left = 0
|
|
*/
|
|
|
|
static int __pyx_pf_7sklearn_4tree_5_tree_19RegressionCriterion___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
|
|
static int __pyx_pf_7sklearn_4tree_5_tree_19RegressionCriterion___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
|
|
int __pyx_r;
|
|
__Pyx_RefNannyDeclarations
|
|
__Pyx_RefNannySetupContext("__init__");
|
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if (unlikely(PyTuple_GET_SIZE(__pyx_args) > 0)) {
|
|
__Pyx_RaiseArgtupleInvalid("__init__", 1, 0, 0, PyTuple_GET_SIZE(__pyx_args)); return -1;}
|
|
if (unlikely(__pyx_kwds) && unlikely(PyDict_Size(__pyx_kwds) > 0) && unlikely(!__Pyx_CheckKeywordStrings(__pyx_kwds, "__init__", 0))) return -1;
|
|
|
|
/* "sklearn/tree/_tree.pyx":300
|
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*
|
|
* def __init__(self):
|
|
* self.n_samples = 0 # <<<<<<<<<<<<<<
|
|
* self.n_left = 0
|
|
* self.n_right = 0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->n_samples = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":301
|
|
* def __init__(self):
|
|
* self.n_samples = 0
|
|
* self.n_left = 0 # <<<<<<<<<<<<<<
|
|
* self.n_right = 0
|
|
* self.mean_left = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->n_left = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":302
|
|
* self.n_samples = 0
|
|
* self.n_left = 0
|
|
* self.n_right = 0 # <<<<<<<<<<<<<<
|
|
* self.mean_left = 0.0
|
|
* self.mean_right = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->n_right = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":303
|
|
* self.n_left = 0
|
|
* self.n_right = 0
|
|
* self.mean_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.mean_right = 0.0
|
|
* self.mean_init = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->mean_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":304
|
|
* self.n_right = 0
|
|
* self.mean_left = 0.0
|
|
* self.mean_right = 0.0 # <<<<<<<<<<<<<<
|
|
* self.mean_init = 0.0
|
|
* self.sq_sum_right = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->mean_right = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":305
|
|
* self.mean_left = 0.0
|
|
* self.mean_right = 0.0
|
|
* self.mean_init = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_right = 0.0
|
|
* self.sq_sum_left = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->mean_init = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":306
|
|
* self.mean_right = 0.0
|
|
* self.mean_init = 0.0
|
|
* self.sq_sum_right = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_left = 0.0
|
|
* self.sq_sum_init = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->sq_sum_right = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":307
|
|
* self.mean_init = 0.0
|
|
* self.sq_sum_right = 0.0
|
|
* self.sq_sum_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_init = 0.0
|
|
* self.var_left = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->sq_sum_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":308
|
|
* self.sq_sum_right = 0.0
|
|
* self.sq_sum_left = 0.0
|
|
* self.sq_sum_init = 0.0 # <<<<<<<<<<<<<<
|
|
* self.var_left = 0.0
|
|
* self.var_right = 0.0
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->sq_sum_init = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":309
|
|
* self.sq_sum_left = 0.0
|
|
* self.sq_sum_init = 0.0
|
|
* self.var_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.var_right = 0.0
|
|
*
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->var_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":310
|
|
* self.sq_sum_init = 0.0
|
|
* self.var_left = 0.0
|
|
* self.var_right = 0.0 # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef void init(self, DTYPE_t *y, BOOL_t *sample_mask, int n_samples,
|
|
*/
|
|
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->var_right = 0.0;
|
|
|
|
__pyx_r = 0;
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":312
|
|
* self.var_right = 0.0
|
|
*
|
|
* cdef void init(self, DTYPE_t *y, BOOL_t *sample_mask, int n_samples, # <<<<<<<<<<<<<<
|
|
* int n_total_samples):
|
|
* """Initialise the criterion class; assume all samples
|
|
*/
|
|
|
|
static void __pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_init(struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *__pyx_v_y, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *__pyx_v_sample_mask, int __pyx_v_n_samples, int __pyx_v_n_total_samples) {
|
|
int __pyx_v_j;
|
|
__Pyx_RefNannyDeclarations
|
|
int __pyx_t_1;
|
|
int __pyx_t_2;
|
|
__Pyx_RefNannySetupContext("init");
|
|
|
|
/* "sklearn/tree/_tree.pyx":317
|
|
* are in the right branch and store the mean and squared
|
|
* sum in `self.mean_init` and `self.sq_sum_init`. """
|
|
* self.mean_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.mean_right = 0.0
|
|
* self.mean_init = 0.0
|
|
*/
|
|
__pyx_v_self->mean_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":318
|
|
* sum in `self.mean_init` and `self.sq_sum_init`. """
|
|
* self.mean_left = 0.0
|
|
* self.mean_right = 0.0 # <<<<<<<<<<<<<<
|
|
* self.mean_init = 0.0
|
|
* self.sq_sum_right = 0.0
|
|
*/
|
|
__pyx_v_self->mean_right = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":319
|
|
* self.mean_left = 0.0
|
|
* self.mean_right = 0.0
|
|
* self.mean_init = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_right = 0.0
|
|
* self.sq_sum_left = 0.0
|
|
*/
|
|
__pyx_v_self->mean_init = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":320
|
|
* self.mean_right = 0.0
|
|
* self.mean_init = 0.0
|
|
* self.sq_sum_right = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_left = 0.0
|
|
* self.sq_sum_init = 0.0
|
|
*/
|
|
__pyx_v_self->sq_sum_right = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":321
|
|
* self.mean_init = 0.0
|
|
* self.sq_sum_right = 0.0
|
|
* self.sq_sum_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_init = 0.0
|
|
* self.var_left = 0.0
|
|
*/
|
|
__pyx_v_self->sq_sum_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":322
|
|
* self.sq_sum_right = 0.0
|
|
* self.sq_sum_left = 0.0
|
|
* self.sq_sum_init = 0.0 # <<<<<<<<<<<<<<
|
|
* self.var_left = 0.0
|
|
* self.var_right = 0.0
|
|
*/
|
|
__pyx_v_self->sq_sum_init = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":323
|
|
* self.sq_sum_left = 0.0
|
|
* self.sq_sum_init = 0.0
|
|
* self.var_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.var_right = 0.0
|
|
* self.n_samples = n_samples
|
|
*/
|
|
__pyx_v_self->var_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":324
|
|
* self.sq_sum_init = 0.0
|
|
* self.var_left = 0.0
|
|
* self.var_right = 0.0 # <<<<<<<<<<<<<<
|
|
* self.n_samples = n_samples
|
|
*
|
|
*/
|
|
__pyx_v_self->var_right = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":325
|
|
* self.var_left = 0.0
|
|
* self.var_right = 0.0
|
|
* self.n_samples = n_samples # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef int j = 0
|
|
*/
|
|
__pyx_v_self->n_samples = __pyx_v_n_samples;
|
|
|
|
/* "sklearn/tree/_tree.pyx":327
|
|
* self.n_samples = n_samples
|
|
*
|
|
* cdef int j = 0 # <<<<<<<<<<<<<<
|
|
* for j from 0 <= j < n_total_samples:
|
|
* if sample_mask[j] == 0:
|
|
*/
|
|
__pyx_v_j = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":328
|
|
*
|
|
* cdef int j = 0
|
|
* for j from 0 <= j < n_total_samples: # <<<<<<<<<<<<<<
|
|
* if sample_mask[j] == 0:
|
|
* continue
|
|
*/
|
|
__pyx_t_1 = __pyx_v_n_total_samples;
|
|
for (__pyx_v_j = 0; __pyx_v_j < __pyx_t_1; __pyx_v_j++) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":329
|
|
* cdef int j = 0
|
|
* for j from 0 <= j < n_total_samples:
|
|
* if sample_mask[j] == 0: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* self.sq_sum_init += (y[j] * y[j])
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_sample_mask[__pyx_v_j]) == 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":330
|
|
* for j from 0 <= j < n_total_samples:
|
|
* if sample_mask[j] == 0:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* self.sq_sum_init += (y[j] * y[j])
|
|
* self.mean_init += y[j]
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
goto __pyx_L5;
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":331
|
|
* if sample_mask[j] == 0:
|
|
* continue
|
|
* self.sq_sum_init += (y[j] * y[j]) # <<<<<<<<<<<<<<
|
|
* self.mean_init += y[j]
|
|
*
|
|
*/
|
|
__pyx_v_self->sq_sum_init = (__pyx_v_self->sq_sum_init + ((__pyx_v_y[__pyx_v_j]) * (__pyx_v_y[__pyx_v_j])));
|
|
|
|
/* "sklearn/tree/_tree.pyx":332
|
|
* continue
|
|
* self.sq_sum_init += (y[j] * y[j])
|
|
* self.mean_init += y[j] # <<<<<<<<<<<<<<
|
|
*
|
|
* self.mean_init = self.mean_init / self.n_samples
|
|
*/
|
|
__pyx_v_self->mean_init = (__pyx_v_self->mean_init + (__pyx_v_y[__pyx_v_j]));
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":334
|
|
* self.mean_init += y[j]
|
|
*
|
|
* self.mean_init = self.mean_init / self.n_samples # <<<<<<<<<<<<<<
|
|
*
|
|
* self.reset()
|
|
*/
|
|
__pyx_v_self->mean_init = (__pyx_v_self->mean_init / __pyx_v_self->n_samples);
|
|
|
|
/* "sklearn/tree/_tree.pyx":336
|
|
* self.mean_init = self.mean_init / self.n_samples
|
|
*
|
|
* self.reset() # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef void reset(self):
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self->__pyx_base.__pyx_vtab)->__pyx_base.reset(((struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *)__pyx_v_self));
|
|
|
|
__Pyx_RefNannyFinishContext();
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":338
|
|
* self.reset()
|
|
*
|
|
* cdef void reset(self): # <<<<<<<<<<<<<<
|
|
* """Reset criterion for new feature.
|
|
*
|
|
*/
|
|
|
|
static void __pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_reset(struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_v_self) {
|
|
__Pyx_RefNannyDeclarations
|
|
__Pyx_RefNannySetupContext("reset");
|
|
|
|
/* "sklearn/tree/_tree.pyx":345
|
|
* right branch.
|
|
* """
|
|
* self.n_right = self.n_samples # <<<<<<<<<<<<<<
|
|
* self.n_left = 0
|
|
* self.mean_right = self.mean_init
|
|
*/
|
|
__pyx_v_self->n_right = __pyx_v_self->n_samples;
|
|
|
|
/* "sklearn/tree/_tree.pyx":346
|
|
* """
|
|
* self.n_right = self.n_samples
|
|
* self.n_left = 0 # <<<<<<<<<<<<<<
|
|
* self.mean_right = self.mean_init
|
|
* self.mean_left = 0.0
|
|
*/
|
|
__pyx_v_self->n_left = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":347
|
|
* self.n_right = self.n_samples
|
|
* self.n_left = 0
|
|
* self.mean_right = self.mean_init # <<<<<<<<<<<<<<
|
|
* self.mean_left = 0.0
|
|
* self.sq_sum_right = self.sq_sum_init
|
|
*/
|
|
__pyx_v_self->mean_right = __pyx_v_self->mean_init;
|
|
|
|
/* "sklearn/tree/_tree.pyx":348
|
|
* self.n_left = 0
|
|
* self.mean_right = self.mean_init
|
|
* self.mean_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.sq_sum_right = self.sq_sum_init
|
|
* self.sq_sum_left = 0.0
|
|
*/
|
|
__pyx_v_self->mean_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":349
|
|
* self.mean_right = self.mean_init
|
|
* self.mean_left = 0.0
|
|
* self.sq_sum_right = self.sq_sum_init # <<<<<<<<<<<<<<
|
|
* self.sq_sum_left = 0.0
|
|
* self.var_left = 0.0
|
|
*/
|
|
__pyx_v_self->sq_sum_right = __pyx_v_self->sq_sum_init;
|
|
|
|
/* "sklearn/tree/_tree.pyx":350
|
|
* self.mean_left = 0.0
|
|
* self.sq_sum_right = self.sq_sum_init
|
|
* self.sq_sum_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.var_left = 0.0
|
|
* self.var_right = self.sq_sum_right - \
|
|
*/
|
|
__pyx_v_self->sq_sum_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":351
|
|
* self.sq_sum_right = self.sq_sum_init
|
|
* self.sq_sum_left = 0.0
|
|
* self.var_left = 0.0 # <<<<<<<<<<<<<<
|
|
* self.var_right = self.sq_sum_right - \
|
|
* self.n_samples * (self.mean_right * self.mean_right)
|
|
*/
|
|
__pyx_v_self->var_left = 0.0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":352
|
|
* self.sq_sum_left = 0.0
|
|
* self.var_left = 0.0
|
|
* self.var_right = self.sq_sum_right - \ # <<<<<<<<<<<<<<
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*
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* BOOL_t *sample_mask):
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/* "sklearn/tree/_tree.pyx":362
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/* "sklearn/tree/_tree.pyx":363
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* # post condition: all samples from [0:b) are on the left side
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/* "sklearn/tree/_tree.pyx":365
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/* "sklearn/tree/_tree.pyx":366
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/* "sklearn/tree/_tree.pyx":368
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*
|
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*/
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/* "sklearn/tree/_tree.pyx":370
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|
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|
|
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|
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/* "sklearn/tree/_tree.pyx":372
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|
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/* "sklearn/tree/_tree.pyx":377
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*
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/* "sklearn/tree/_tree.pyx":379
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* self.var_left = self.sq_sum_left - \ # <<<<<<<<<<<<<<
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/* "sklearn/tree/_tree.pyx":381
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree__random_sample_mask(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
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/* "sklearn/tree/_tree.pyx":434
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/* "sklearn/tree/_tree.pyx":435
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/* "sklearn/tree/_tree.pyx":437
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_3_predict_regression_tree_inplace(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
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case 7:
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values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__pred);
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values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
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values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
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/* "sklearn/tree/_tree.pyx":516
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* by `sample_mask`. """
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* cdef int n_total_samples = y.shape[0]
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* cdef DTYPE_t *y_ptr = <DTYPE_t *>y.data # <<<<<<<<<<<<<<
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* cdef BOOL_t *sample_mask_ptr = <BOOL_t *>sample_mask.data
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* cdef int n_total_samples = y.shape[0]
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* cdef DTYPE_t *y_ptr = <DTYPE_t *>y.data
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/* "sklearn/tree/_tree.pyx":518
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* cdef DTYPE_t *y_ptr = <DTYPE_t *>y.data
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* cdef BOOL_t *sample_mask_ptr = <BOOL_t *>sample_mask.data
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/* "sklearn/tree/_tree.pyx":519
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* cdef BOOL_t *sample_mask_ptr = <BOOL_t *>sample_mask.data
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* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples)
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|
|
*
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* cdef int smallest_sample_larger_than(int sample_idx, DTYPE_t *X_i, # <<<<<<<<<<<<<<
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* int *X_argsorted_i, BOOL_t *sample_mask,
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* int n_total_samples):
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static int __pyx_f_7sklearn_4tree_5_tree_smallest_sample_larger_than(int __pyx_v_sample_idx, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *__pyx_v_X_i, int *__pyx_v_X_argsorted_i, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *__pyx_v_sample_mask, int __pyx_v_n_total_samples) {
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int __pyx_v_idx;
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* """
|
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* cdef int idx = 0, j # <<<<<<<<<<<<<<
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|
* cdef DTYPE_t threshold = -DBL_MAX
|
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*
|
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*/
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__pyx_v_idx = 0;
|
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/* "sklearn/tree/_tree.pyx":540
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* """
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* cdef int idx = 0, j
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* cdef DTYPE_t threshold = -DBL_MAX # <<<<<<<<<<<<<<
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|
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*/
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__pyx_v_threshold = (-DBL_MAX);
|
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/* "sklearn/tree/_tree.pyx":542
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* cdef DTYPE_t threshold = -DBL_MAX
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*
|
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* if sample_idx > -1: # <<<<<<<<<<<<<<
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*
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*/
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|
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/* "sklearn/tree/_tree.pyx":543
|
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*
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* if sample_idx > -1:
|
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* threshold = X_i[X_argsorted_i[sample_idx]] # <<<<<<<<<<<<<<
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|
*
|
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|
|
*/
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__pyx_v_threshold = (__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_sample_idx])]);
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goto __pyx_L3;
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__pyx_L3:;
|
|
|
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/* "sklearn/tree/_tree.pyx":545
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* threshold = X_i[X_argsorted_i[sample_idx]]
|
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*
|
|
* for idx from sample_idx < idx < n_total_samples: # <<<<<<<<<<<<<<
|
|
* j = X_argsorted_i[idx]
|
|
*
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|
*/
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__pyx_t_2 = __pyx_v_n_total_samples;
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for (__pyx_v_idx = __pyx_v_sample_idx+1; __pyx_v_idx < __pyx_t_2; __pyx_v_idx++) {
|
|
|
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/* "sklearn/tree/_tree.pyx":546
|
|
*
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* for idx from sample_idx < idx < n_total_samples:
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|
* j = X_argsorted_i[idx] # <<<<<<<<<<<<<<
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*
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* if sample_mask[j] == 0:
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*/
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__pyx_v_j = (__pyx_v_X_argsorted_i[__pyx_v_idx]);
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/* "sklearn/tree/_tree.pyx":548
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* j = X_argsorted_i[idx]
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*
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* if sample_mask[j] == 0: # <<<<<<<<<<<<<<
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|
* continue
|
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*
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*/
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|
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/* "sklearn/tree/_tree.pyx":549
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*
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* if sample_mask[j] == 0:
|
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* continue # <<<<<<<<<<<<<<
|
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*
|
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|
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*/
|
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goto __pyx_L4_continue;
|
|
goto __pyx_L6;
|
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}
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__pyx_L6:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":551
|
|
* continue
|
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*
|
|
* if X_i[j] > threshold + 1.e-7: # <<<<<<<<<<<<<<
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* return idx
|
|
*
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*/
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/* "sklearn/tree/_tree.pyx":552
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*
|
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* if X_i[j] > threshold + 1.e-7:
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|
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*
|
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__pyx_L4_continue:;
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/* "sklearn/tree/_tree.pyx":554
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* return idx
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* return -1 # <<<<<<<<<<<<<<
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*
|
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*
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*
|
|
*
|
|
* def _find_best_split(np.ndarray[DTYPE_t, ndim=2, mode="fortran"] X, # <<<<<<<<<<<<<<
|
|
* np.ndarray[DTYPE_t, ndim=1, mode="c"] y,
|
|
* np.ndarray[np.int32_t, ndim=2, mode="fortran"] X_argsorted,
|
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*/
|
|
|
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_5_find_best_split(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
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static char __pyx_doc_7sklearn_4tree_5_tree_5_find_best_split[] = "Find the best dimension and threshold that minimises the error.\n\n Parameters\n ----------\n X : ndarray, shape (n_total_samples, n_features), dtype=DTYPE_t\n The feature values.\n\n y : ndarray, shape (n_total_samples,), dtype=float\n The label to predict for each sample.\n\n X_argsorted : ndarray, shape (n_samples, n_features)\n Argsort of cols of `X`. `X_argsorted[0,j]` gives the example\n index of the smallest value of feature `j`.\n\n sample_mask : ndarray, shape (n_samples,), dtype=np.bool\n A mask for the samples to be considered. Only samples `j` for which\n sample_mask[j] != 0 are considered.\n\n n_samples : int\n The number of samples in the current sample_mask\n (i.e. `sample_mask.sum()`).\n\n min_leaf : int\n The minimum number of samples required to be at a leaf node.\n\n max_features : int\n The number of features to consider when looking for the best split.\n\n criterion : Criterion\n The criterion function to be minimized.\n\n random_state : RandomState\n The numpy random state to use.\n\n Returns\n -------\n best_i : int\n The split feature or -1 if criterion not smaller than\n `parent_split_error`.\n\n best_t : DTYPE_t\n The split threshold\n\n best_error : DTYPE_t\n The split error\n\n initial_error : DTYPE_t\n The initial error contained in the node.\n ";
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|
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|
|
* cdef int X_stride = X_col_stride / X_elem_stride
|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0] # <<<<<<<<<<<<<<
|
|
* cdef int X_argsorted_col_stride = X_argsorted.strides[1]
|
|
* cdef int X_argsorted_stride = X_argsorted_col_stride / X_argsorted_elem_stride
|
|
*/
|
|
__pyx_v_X_argsorted_elem_stride = (__pyx_v_X_argsorted->strides[0]);
|
|
|
|
/* "sklearn/tree/_tree.pyx":633
|
|
* cdef int X_stride = X_col_stride / X_elem_stride
|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0]
|
|
* cdef int X_argsorted_col_stride = X_argsorted.strides[1] # <<<<<<<<<<<<<<
|
|
* cdef int X_argsorted_stride = X_argsorted_col_stride / X_argsorted_elem_stride
|
|
*
|
|
*/
|
|
__pyx_v_X_argsorted_col_stride = (__pyx_v_X_argsorted->strides[1]);
|
|
|
|
/* "sklearn/tree/_tree.pyx":634
|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0]
|
|
* cdef int X_argsorted_col_stride = X_argsorted.strides[1]
|
|
* cdef int X_argsorted_stride = X_argsorted_col_stride / X_argsorted_elem_stride # <<<<<<<<<<<<<<
|
|
*
|
|
* # Compute the initial criterion value in the node
|
|
*/
|
|
__pyx_v_X_argsorted_stride = (__pyx_v_X_argsorted_col_stride / __pyx_v_X_argsorted_elem_stride);
|
|
|
|
/* "sklearn/tree/_tree.pyx":637
|
|
*
|
|
* # Compute the initial criterion value in the node
|
|
* X_argsorted_i = <int *>X_argsorted.data # <<<<<<<<<<<<<<
|
|
* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples)
|
|
* initial_error = criterion.eval()
|
|
*/
|
|
__pyx_v_X_argsorted_i = ((int *)__pyx_v_X_argsorted->data);
|
|
|
|
/* "sklearn/tree/_tree.pyx":638
|
|
* # Compute the initial criterion value in the node
|
|
* X_argsorted_i = <int *>X_argsorted.data
|
|
* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples) # <<<<<<<<<<<<<<
|
|
* initial_error = criterion.eval()
|
|
*
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->init(__pyx_v_criterion, __pyx_v_y_ptr, __pyx_v_sample_mask_ptr, __pyx_v_n_samples, __pyx_v_n_total_samples);
|
|
|
|
/* "sklearn/tree/_tree.pyx":639
|
|
* X_argsorted_i = <int *>X_argsorted.data
|
|
* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples)
|
|
* initial_error = criterion.eval() # <<<<<<<<<<<<<<
|
|
*
|
|
* if initial_error == 0: # break early if the node is pure
|
|
*/
|
|
__pyx_v_initial_error = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->eval(__pyx_v_criterion);
|
|
|
|
/* "sklearn/tree/_tree.pyx":641
|
|
* initial_error = criterion.eval()
|
|
*
|
|
* if initial_error == 0: # break early if the node is pure # <<<<<<<<<<<<<<
|
|
* return best_i, best_t, initial_error, initial_error
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_initial_error == 0.0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":642
|
|
*
|
|
* if initial_error == 0: # break early if the node is pure
|
|
* return best_i, best_t, initial_error, initial_error # <<<<<<<<<<<<<<
|
|
*
|
|
* best_error = initial_error
|
|
*/
|
|
__Pyx_XDECREF(__pyx_r);
|
|
__pyx_t_1 = PyInt_FromLong(__pyx_v_best_i); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_best_t); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
__pyx_t_5 = PyFloat_FromDouble(__pyx_v_initial_error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__pyx_t_6 = PyFloat_FromDouble(__pyx_v_initial_error); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
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__pyx_t_7 = PyTuple_New(4); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_7));
|
|
PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1);
|
|
__Pyx_GIVEREF(__pyx_t_1);
|
|
PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_2);
|
|
__Pyx_GIVEREF(__pyx_t_2);
|
|
PyTuple_SET_ITEM(__pyx_t_7, 2, __pyx_t_5);
|
|
__Pyx_GIVEREF(__pyx_t_5);
|
|
PyTuple_SET_ITEM(__pyx_t_7, 3, __pyx_t_6);
|
|
__Pyx_GIVEREF(__pyx_t_6);
|
|
__pyx_t_1 = 0;
|
|
__pyx_t_2 = 0;
|
|
__pyx_t_5 = 0;
|
|
__pyx_t_6 = 0;
|
|
__pyx_r = ((PyObject *)__pyx_t_7);
|
|
__pyx_t_7 = 0;
|
|
goto __pyx_L0;
|
|
goto __pyx_L6;
|
|
}
|
|
__pyx_L6:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":644
|
|
* return best_i, best_t, initial_error, initial_error
|
|
*
|
|
* best_error = initial_error # <<<<<<<<<<<<<<
|
|
*
|
|
* # Features to consider
|
|
*/
|
|
__pyx_v_best_error = __pyx_v_initial_error;
|
|
|
|
/* "sklearn/tree/_tree.pyx":647
|
|
*
|
|
* # Features to consider
|
|
* if max_features < 0 or max_features == n_features: # <<<<<<<<<<<<<<
|
|
* features = np.arange(n_features)
|
|
* else:
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_max_features < 0);
|
|
if (!__pyx_t_4) {
|
|
__pyx_t_8 = (__pyx_v_max_features == __pyx_v_n_features);
|
|
__pyx_t_9 = __pyx_t_8;
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_4;
|
|
}
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":648
|
|
* # Features to consider
|
|
* if max_features < 0 or max_features == n_features:
|
|
* features = np.arange(n_features) # <<<<<<<<<<<<<<
|
|
* else:
|
|
* features = random_state.permutation(n_features)[:max_features]
|
|
*/
|
|
__pyx_t_7 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_7);
|
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__pyx_t_6 = PyObject_GetAttr(__pyx_t_7, __pyx_n_s__arange); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
|
|
__pyx_t_7 = PyInt_FromLong(__pyx_v_n_features); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
__pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_5));
|
|
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_7);
|
|
__Pyx_GIVEREF(__pyx_t_7);
|
|
__pyx_t_7 = 0;
|
|
__pyx_t_7 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0;
|
|
__pyx_v_features = __pyx_t_7;
|
|
__pyx_t_7 = 0;
|
|
goto __pyx_L7;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":650
|
|
* features = np.arange(n_features)
|
|
* else:
|
|
* features = random_state.permutation(n_features)[:max_features] # <<<<<<<<<<<<<<
|
|
*
|
|
* # Look for the best split
|
|
*/
|
|
__pyx_t_7 = PyObject_GetAttr(__pyx_v_random_state, __pyx_n_s__permutation); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
__pyx_t_5 = PyInt_FromLong(__pyx_v_n_features); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_6));
|
|
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_5);
|
|
__Pyx_GIVEREF(__pyx_t_5);
|
|
__pyx_t_5 = 0;
|
|
__pyx_t_5 = PyObject_Call(__pyx_t_7, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
|
|
__pyx_t_6 = __Pyx_PySequence_GetSlice(__pyx_t_5, 0, __pyx_v_max_features); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
__pyx_v_features = __pyx_t_6;
|
|
__pyx_t_6 = 0;
|
|
}
|
|
__pyx_L7:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":653
|
|
*
|
|
* # Look for the best split
|
|
* for i in features: # <<<<<<<<<<<<<<
|
|
* # Get i-th col of X and X_sorted
|
|
* X_i = (<DTYPE_t *>X.data) + X_stride * i
|
|
*/
|
|
if (PyList_CheckExact(__pyx_v_features) || PyTuple_CheckExact(__pyx_v_features)) {
|
|
__pyx_t_6 = __pyx_v_features; __Pyx_INCREF(__pyx_t_6); __pyx_t_10 = 0;
|
|
__pyx_t_11 = NULL;
|
|
} else {
|
|
__pyx_t_10 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_features); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
__pyx_t_11 = Py_TYPE(__pyx_t_6)->tp_iternext;
|
|
}
|
|
for (;;) {
|
|
if (PyList_CheckExact(__pyx_t_6)) {
|
|
if (__pyx_t_10 >= PyList_GET_SIZE(__pyx_t_6)) break;
|
|
__pyx_t_5 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_10); __Pyx_INCREF(__pyx_t_5); __pyx_t_10++;
|
|
} else if (PyTuple_CheckExact(__pyx_t_6)) {
|
|
if (__pyx_t_10 >= PyTuple_GET_SIZE(__pyx_t_6)) break;
|
|
__pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_10); __Pyx_INCREF(__pyx_t_5); __pyx_t_10++;
|
|
} else {
|
|
__pyx_t_5 = __pyx_t_11(__pyx_t_6);
|
|
if (unlikely(!__pyx_t_5)) {
|
|
if (PyErr_Occurred()) {
|
|
if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear();
|
|
else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
break;
|
|
}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
}
|
|
__pyx_t_12 = __Pyx_PyInt_AsInt(__pyx_t_5); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
__pyx_v_i = __pyx_t_12;
|
|
|
|
/* "sklearn/tree/_tree.pyx":655
|
|
* for i in features:
|
|
* # Get i-th col of X and X_sorted
|
|
* X_i = (<DTYPE_t *>X.data) + X_stride * i # <<<<<<<<<<<<<<
|
|
* X_argsorted_i = (<int *>X_argsorted.data) + X_argsorted_stride * i
|
|
*
|
|
*/
|
|
__pyx_v_X_i = (((__pyx_t_7sklearn_4tree_5_tree_DTYPE_t *)__pyx_v_X->data) + (__pyx_v_X_stride * __pyx_v_i));
|
|
|
|
/* "sklearn/tree/_tree.pyx":656
|
|
* # Get i-th col of X and X_sorted
|
|
* X_i = (<DTYPE_t *>X.data) + X_stride * i
|
|
* X_argsorted_i = (<int *>X_argsorted.data) + X_argsorted_stride * i # <<<<<<<<<<<<<<
|
|
*
|
|
* # Reset the criterion for this feature
|
|
*/
|
|
__pyx_v_X_argsorted_i = (((int *)__pyx_v_X_argsorted->data) + (__pyx_v_X_argsorted_stride * __pyx_v_i));
|
|
|
|
/* "sklearn/tree/_tree.pyx":659
|
|
*
|
|
* # Reset the criterion for this feature
|
|
* criterion.reset() # <<<<<<<<<<<<<<
|
|
*
|
|
* # Index of smallest sample in X_argsorted_i that is in the sample mask
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->reset(__pyx_v_criterion);
|
|
|
|
/* "sklearn/tree/_tree.pyx":662
|
|
*
|
|
* # Index of smallest sample in X_argsorted_i that is in the sample mask
|
|
* a = 0 # <<<<<<<<<<<<<<
|
|
* while sample_mask_ptr[X_argsorted_i[a]] == 0:
|
|
* a = a + 1
|
|
*/
|
|
__pyx_v_a = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":663
|
|
* # Index of smallest sample in X_argsorted_i that is in the sample mask
|
|
* a = 0
|
|
* while sample_mask_ptr[X_argsorted_i[a]] == 0: # <<<<<<<<<<<<<<
|
|
* a = a + 1
|
|
*
|
|
*/
|
|
while (1) {
|
|
__pyx_t_9 = ((__pyx_v_sample_mask_ptr[(__pyx_v_X_argsorted_i[__pyx_v_a])]) == 0);
|
|
if (!__pyx_t_9) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":664
|
|
* a = 0
|
|
* while sample_mask_ptr[X_argsorted_i[a]] == 0:
|
|
* a = a + 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # Consider splits between two consecutive samples
|
|
*/
|
|
__pyx_v_a = (__pyx_v_a + 1);
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":667
|
|
*
|
|
* # Consider splits between two consecutive samples
|
|
* while True: # <<<<<<<<<<<<<<
|
|
* # Find the following larger sample
|
|
* b = smallest_sample_larger_than(a, X_i, X_argsorted_i,
|
|
*/
|
|
while (1) {
|
|
if (!1) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":670
|
|
* # Find the following larger sample
|
|
* b = smallest_sample_larger_than(a, X_i, X_argsorted_i,
|
|
* sample_mask_ptr, n_total_samples) # <<<<<<<<<<<<<<
|
|
* if b == -1:
|
|
* break
|
|
*/
|
|
__pyx_v_b = __pyx_f_7sklearn_4tree_5_tree_smallest_sample_larger_than(__pyx_v_a, __pyx_v_X_i, __pyx_v_X_argsorted_i, __pyx_v_sample_mask_ptr, __pyx_v_n_total_samples);
|
|
|
|
/* "sklearn/tree/_tree.pyx":671
|
|
* b = smallest_sample_larger_than(a, X_i, X_argsorted_i,
|
|
* sample_mask_ptr, n_total_samples)
|
|
* if b == -1: # <<<<<<<<<<<<<<
|
|
* break
|
|
*
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_b == -1);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":672
|
|
* sample_mask_ptr, n_total_samples)
|
|
* if b == -1:
|
|
* break # <<<<<<<<<<<<<<
|
|
*
|
|
* # Better split than the best so far?
|
|
*/
|
|
goto __pyx_L13_break;
|
|
goto __pyx_L14;
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":675
|
|
*
|
|
* # Better split than the best so far?
|
|
* n_left = criterion.update(a, b, y_ptr, X_argsorted_i, sample_mask_ptr) # <<<<<<<<<<<<<<
|
|
*
|
|
* # Only consider splits that respect min_leaf
|
|
*/
|
|
__pyx_v_n_left = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->update(__pyx_v_criterion, __pyx_v_a, __pyx_v_b, __pyx_v_y_ptr, __pyx_v_X_argsorted_i, __pyx_v_sample_mask_ptr);
|
|
|
|
/* "sklearn/tree/_tree.pyx":678
|
|
*
|
|
* # Only consider splits that respect min_leaf
|
|
* if n_left < min_leaf or (n_samples - n_left) < min_leaf: # <<<<<<<<<<<<<<
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|
* a = b
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* continue
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*/
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if (!__pyx_t_9) {
|
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__pyx_t_8 = __pyx_t_4;
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} else {
|
|
__pyx_t_8 = __pyx_t_9;
|
|
}
|
|
if (__pyx_t_8) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":679
|
|
* # Only consider splits that respect min_leaf
|
|
* if n_left < min_leaf or (n_samples - n_left) < min_leaf:
|
|
* a = b # <<<<<<<<<<<<<<
|
|
* continue
|
|
*
|
|
*/
|
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|
|
|
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/* "sklearn/tree/_tree.pyx":680
|
|
* if n_left < min_leaf or (n_samples - n_left) < min_leaf:
|
|
* a = b
|
|
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|
|
*
|
|
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|
|
*/
|
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|
|
goto __pyx_L15;
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__pyx_L15:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":682
|
|
* continue
|
|
*
|
|
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|
|
*
|
|
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|
|
*/
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|
|
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/* "sklearn/tree/_tree.pyx":684
|
|
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|
|
*
|
|
* if error < best_error: # <<<<<<<<<<<<<<
|
|
* t = X_i[X_argsorted_i[a]] + \
|
|
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|
|
*/
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if (__pyx_t_8) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":686
|
|
* if error < best_error:
|
|
* t = X_i[X_argsorted_i[a]] + \
|
|
* ((X_i[X_argsorted_i[b]] - X_i[X_argsorted_i[a]]) / 2.0) # <<<<<<<<<<<<<<
|
|
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|
|
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|
|
|
|
/* "sklearn/tree/_tree.pyx":687
|
|
* t = X_i[X_argsorted_i[a]] + \
|
|
* ((X_i[X_argsorted_i[b]] - X_i[X_argsorted_i[a]]) / 2.0)
|
|
* if t == X_i[X_argsorted_i[b]]: # <<<<<<<<<<<<<<
|
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|
|
|
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/* "sklearn/tree/_tree.pyx":688
|
|
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|
|
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|
|
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|
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goto __pyx_L17;
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__pyx_L17:;
|
|
|
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/* "sklearn/tree/_tree.pyx":689
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|
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/* "sklearn/tree/_tree.pyx":690
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|
|
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/* "sklearn/tree/_tree.pyx":691
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/* "sklearn/tree/_tree.pyx":694
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__Pyx_RaiseArgtupleInvalid("_find_best_random_split", 1, 9, 9, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
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case 6:
|
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values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_features);
|
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if (likely(values[6])) kw_args--;
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__Pyx_RaiseArgtupleInvalid("_find_best_random_split", 1, 9, 9, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 7:
|
|
values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__criterion);
|
|
if (likely(values[7])) kw_args--;
|
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__Pyx_RaiseArgtupleInvalid("_find_best_random_split", 1, 9, 9, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
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case 8:
|
|
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|
|
if (likely(values[8])) kw_args--;
|
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__Pyx_RaiseArgtupleInvalid("_find_best_random_split", 1, 9, 9, 8); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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|
goto __pyx_L5_argtuple_error;
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|
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__Pyx_RaiseArgtupleInvalid("_find_best_random_split", 1, 9, 9, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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__pyx_L3_error:;
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/* "sklearn/tree/_tree.pyx":762
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* cdef DTYPE_t t, initial_error, error
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/* "sklearn/tree/_tree.pyx":763
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* cdef DTYPE_t best_error = np.inf, best_t = np.inf
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* cdef DTYPE_t *y_ptr = <DTYPE_t *>y.data
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__pyx_v_X_i = NULL;
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|
* cdef DTYPE_t *y_ptr = <DTYPE_t *>y.data
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|
* cdef DTYPE_t *X_i = NULL
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* cdef int *X_argsorted_i = NULL # <<<<<<<<<<<<<<
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|
* cdef BOOL_t *sample_mask_ptr = <BOOL_t *>sample_mask.data
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|
*
|
|
*/
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|
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|
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/* "sklearn/tree/_tree.pyx":765
|
|
* cdef DTYPE_t *X_i = NULL
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* cdef int *X_argsorted_i = NULL
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* cdef BOOL_t *sample_mask_ptr = <BOOL_t *>sample_mask.data # <<<<<<<<<<<<<<
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|
*
|
|
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*/
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__pyx_v_sample_mask_ptr = ((__pyx_t_7sklearn_4tree_5_tree_BOOL_t *)__pyx_v_sample_mask->data);
|
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|
|
/* "sklearn/tree/_tree.pyx":769
|
|
* # Compute the column strides (increment in pointer elements to get
|
|
* # from column i to i + 1) for `X` and `X_argsorted`
|
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* cdef int X_elem_stride = X.strides[0] # <<<<<<<<<<<<<<
|
|
* cdef int X_col_stride = X.strides[1]
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*/
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__pyx_v_X_elem_stride = (__pyx_v_X->strides[0]);
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|
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/* "sklearn/tree/_tree.pyx":770
|
|
* # from column i to i + 1) for `X` and `X_argsorted`
|
|
* cdef int X_elem_stride = X.strides[0]
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* cdef int X_col_stride = X.strides[1] # <<<<<<<<<<<<<<
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|
* cdef int X_stride = X_col_stride / X_elem_stride
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*/
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__pyx_v_X_col_stride = (__pyx_v_X->strides[1]);
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/* "sklearn/tree/_tree.pyx":771
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|
* cdef int X_elem_stride = X.strides[0]
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* cdef int X_col_stride = X.strides[1]
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|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0]
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*/
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__pyx_v_X_stride = (__pyx_v_X_col_stride / __pyx_v_X_elem_stride);
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|
|
|
/* "sklearn/tree/_tree.pyx":772
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|
* cdef int X_col_stride = X.strides[1]
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|
* cdef int X_stride = X_col_stride / X_elem_stride
|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0] # <<<<<<<<<<<<<<
|
|
* cdef int X_argsorted_col_stride = X_argsorted.strides[1]
|
|
* cdef int X_argsorted_stride = X_argsorted_col_stride / X_argsorted_elem_stride
|
|
*/
|
|
__pyx_v_X_argsorted_elem_stride = (__pyx_v_X_argsorted->strides[0]);
|
|
|
|
/* "sklearn/tree/_tree.pyx":773
|
|
* cdef int X_stride = X_col_stride / X_elem_stride
|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0]
|
|
* cdef int X_argsorted_col_stride = X_argsorted.strides[1] # <<<<<<<<<<<<<<
|
|
* cdef int X_argsorted_stride = X_argsorted_col_stride / X_argsorted_elem_stride
|
|
*
|
|
*/
|
|
__pyx_v_X_argsorted_col_stride = (__pyx_v_X_argsorted->strides[1]);
|
|
|
|
/* "sklearn/tree/_tree.pyx":774
|
|
* cdef int X_argsorted_elem_stride = X_argsorted.strides[0]
|
|
* cdef int X_argsorted_col_stride = X_argsorted.strides[1]
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|
* cdef int X_argsorted_stride = X_argsorted_col_stride / X_argsorted_elem_stride # <<<<<<<<<<<<<<
|
|
*
|
|
* # Compute the initial criterion value
|
|
*/
|
|
__pyx_v_X_argsorted_stride = (__pyx_v_X_argsorted_col_stride / __pyx_v_X_argsorted_elem_stride);
|
|
|
|
/* "sklearn/tree/_tree.pyx":777
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|
*
|
|
* # Compute the initial criterion value
|
|
* X_argsorted_i = <int *>X_argsorted.data # <<<<<<<<<<<<<<
|
|
* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples)
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|
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|
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/* "sklearn/tree/_tree.pyx":778
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|
* # Compute the initial criterion value
|
|
* X_argsorted_i = <int *>X_argsorted.data
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* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples) # <<<<<<<<<<<<<<
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* initial_error = criterion.eval()
|
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*
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*/
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((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->init(__pyx_v_criterion, __pyx_v_y_ptr, __pyx_v_sample_mask_ptr, __pyx_v_n_samples, __pyx_v_n_total_samples);
|
|
|
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/* "sklearn/tree/_tree.pyx":779
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* X_argsorted_i = <int *>X_argsorted.data
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* criterion.init(y_ptr, sample_mask_ptr, n_samples, n_total_samples)
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* initial_error = criterion.eval() # <<<<<<<<<<<<<<
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*
|
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* if initial_error == 0: # break early if the node is pure
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|
|
|
|
/* "sklearn/tree/_tree.pyx":781
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|
* initial_error = criterion.eval()
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*
|
|
* if initial_error == 0: # break early if the node is pure # <<<<<<<<<<<<<<
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|
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*
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|
|
|
|
/* "sklearn/tree/_tree.pyx":782
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|
*
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* if initial_error == 0: # break early if the node is pure
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* return best_i, best_t, best_error, initial_error # <<<<<<<<<<<<<<
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__pyx_t_2 = PyFloat_FromDouble(__pyx_v_best_t); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_2);
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__pyx_t_5 = PyFloat_FromDouble(__pyx_v_best_error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_6 = PyFloat_FromDouble(__pyx_v_initial_error); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
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__pyx_t_7 = PyTuple_New(4); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 782; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_7));
|
|
PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1);
|
|
__Pyx_GIVEREF(__pyx_t_1);
|
|
PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_2);
|
|
__Pyx_GIVEREF(__pyx_t_2);
|
|
PyTuple_SET_ITEM(__pyx_t_7, 2, __pyx_t_5);
|
|
__Pyx_GIVEREF(__pyx_t_5);
|
|
PyTuple_SET_ITEM(__pyx_t_7, 3, __pyx_t_6);
|
|
__Pyx_GIVEREF(__pyx_t_6);
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|
__pyx_t_1 = 0;
|
|
__pyx_t_2 = 0;
|
|
__pyx_t_5 = 0;
|
|
__pyx_t_6 = 0;
|
|
__pyx_r = ((PyObject *)__pyx_t_7);
|
|
__pyx_t_7 = 0;
|
|
goto __pyx_L0;
|
|
goto __pyx_L6;
|
|
}
|
|
__pyx_L6:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":784
|
|
* return best_i, best_t, best_error, initial_error
|
|
*
|
|
* best_error = initial_error # <<<<<<<<<<<<<<
|
|
*
|
|
* # Features to consider
|
|
*/
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|
__pyx_v_best_error = __pyx_v_initial_error;
|
|
|
|
/* "sklearn/tree/_tree.pyx":787
|
|
*
|
|
* # Features to consider
|
|
* if max_features == n_features: # <<<<<<<<<<<<<<
|
|
* features = np.arange(n_features)
|
|
* else:
|
|
*/
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|
__pyx_t_4 = (__pyx_v_max_features == __pyx_v_n_features);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":788
|
|
* # Features to consider
|
|
* if max_features == n_features:
|
|
* features = np.arange(n_features) # <<<<<<<<<<<<<<
|
|
* else:
|
|
* features = random_state.permutation(n_features)[:max_features]
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|
*/
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__pyx_t_7 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_6 = PyObject_GetAttr(__pyx_t_7, __pyx_n_s__arange); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_6);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_t_7 = PyInt_FromLong(__pyx_v_n_features); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(((PyObject *)__pyx_t_5));
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PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_7);
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__Pyx_GIVEREF(__pyx_t_7);
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__pyx_t_7 = 0;
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__pyx_t_7 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 788; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_7);
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__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
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__Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0;
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__pyx_v_features = __pyx_t_7;
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__pyx_t_7 = 0;
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goto __pyx_L7;
|
|
}
|
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/*else*/ {
|
|
|
|
/* "sklearn/tree/_tree.pyx":790
|
|
* features = np.arange(n_features)
|
|
* else:
|
|
* features = random_state.permutation(n_features)[:max_features] # <<<<<<<<<<<<<<
|
|
*
|
|
* # Look for the best random split
|
|
*/
|
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__pyx_t_7 = PyObject_GetAttr(__pyx_v_random_state, __pyx_n_s__permutation); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_5 = PyInt_FromLong(__pyx_v_n_features); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(((PyObject *)__pyx_t_6));
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PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_5);
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__Pyx_GIVEREF(__pyx_t_5);
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__pyx_t_5 = 0;
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__pyx_t_5 = PyObject_Call(__pyx_t_7, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
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__pyx_t_6 = __Pyx_PySequence_GetSlice(__pyx_t_5, 0, __pyx_v_max_features); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 790; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_6);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_v_features = __pyx_t_6;
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__pyx_t_6 = 0;
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}
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__pyx_L7:;
|
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|
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/* "sklearn/tree/_tree.pyx":793
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*
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|
* # Look for the best random split
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* for i in features: # <<<<<<<<<<<<<<
|
|
* # Get i-th col of X and X_sorted
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* X_i = (<DTYPE_t *>X.data) + X_stride * i
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*/
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if (PyList_CheckExact(__pyx_v_features) || PyTuple_CheckExact(__pyx_v_features)) {
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__pyx_t_6 = __pyx_v_features; __Pyx_INCREF(__pyx_t_6); __pyx_t_8 = 0;
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__pyx_t_9 = NULL;
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} else {
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__pyx_t_8 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_features); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 793; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_6);
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__pyx_t_9 = Py_TYPE(__pyx_t_6)->tp_iternext;
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}
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for (;;) {
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if (PyList_CheckExact(__pyx_t_6)) {
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if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_6)) break;
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__pyx_t_5 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_8); __Pyx_INCREF(__pyx_t_5); __pyx_t_8++;
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} else if (PyTuple_CheckExact(__pyx_t_6)) {
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if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_6)) break;
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__pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_8); __Pyx_INCREF(__pyx_t_5); __pyx_t_8++;
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} else {
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__pyx_t_5 = __pyx_t_9(__pyx_t_6);
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if (unlikely(!__pyx_t_5)) {
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if (PyErr_Occurred()) {
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if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear();
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}
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break;
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}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_10 = __Pyx_PyInt_AsInt(__pyx_t_5); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 793; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_v_i = __pyx_t_10;
|
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|
|
/* "sklearn/tree/_tree.pyx":795
|
|
* for i in features:
|
|
* # Get i-th col of X and X_sorted
|
|
* X_i = (<DTYPE_t *>X.data) + X_stride * i # <<<<<<<<<<<<<<
|
|
* X_argsorted_i = (<int *>X_argsorted.data) + X_argsorted_stride * i
|
|
*
|
|
*/
|
|
__pyx_v_X_i = (((__pyx_t_7sklearn_4tree_5_tree_DTYPE_t *)__pyx_v_X->data) + (__pyx_v_X_stride * __pyx_v_i));
|
|
|
|
/* "sklearn/tree/_tree.pyx":796
|
|
* # Get i-th col of X and X_sorted
|
|
* X_i = (<DTYPE_t *>X.data) + X_stride * i
|
|
* X_argsorted_i = (<int *>X_argsorted.data) + X_argsorted_stride * i # <<<<<<<<<<<<<<
|
|
*
|
|
* # Reset the criterion for this feature
|
|
*/
|
|
__pyx_v_X_argsorted_i = (((int *)__pyx_v_X_argsorted->data) + (__pyx_v_X_argsorted_stride * __pyx_v_i));
|
|
|
|
/* "sklearn/tree/_tree.pyx":799
|
|
*
|
|
* # Reset the criterion for this feature
|
|
* criterion.reset() # <<<<<<<<<<<<<<
|
|
*
|
|
* # Find min and max
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->reset(__pyx_v_criterion);
|
|
|
|
/* "sklearn/tree/_tree.pyx":802
|
|
*
|
|
* # Find min and max
|
|
* a = 0 # <<<<<<<<<<<<<<
|
|
* while sample_mask_ptr[X_argsorted_i[a]] == 0:
|
|
* a = a + 1
|
|
*/
|
|
__pyx_v_a = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":803
|
|
* # Find min and max
|
|
* a = 0
|
|
* while sample_mask_ptr[X_argsorted_i[a]] == 0: # <<<<<<<<<<<<<<
|
|
* a = a + 1
|
|
*
|
|
*/
|
|
while (1) {
|
|
__pyx_t_4 = ((__pyx_v_sample_mask_ptr[(__pyx_v_X_argsorted_i[__pyx_v_a])]) == 0);
|
|
if (!__pyx_t_4) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":804
|
|
* a = 0
|
|
* while sample_mask_ptr[X_argsorted_i[a]] == 0:
|
|
* a = a + 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* b = n_total_samples - 1
|
|
*/
|
|
__pyx_v_a = (__pyx_v_a + 1);
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":806
|
|
* a = a + 1
|
|
*
|
|
* b = n_total_samples - 1 # <<<<<<<<<<<<<<
|
|
* while sample_mask_ptr[X_argsorted_i[b]] == 0:
|
|
* b = b - 1
|
|
*/
|
|
__pyx_v_b = (__pyx_v_n_total_samples - 1);
|
|
|
|
/* "sklearn/tree/_tree.pyx":807
|
|
*
|
|
* b = n_total_samples - 1
|
|
* while sample_mask_ptr[X_argsorted_i[b]] == 0: # <<<<<<<<<<<<<<
|
|
* b = b - 1
|
|
*
|
|
*/
|
|
while (1) {
|
|
__pyx_t_4 = ((__pyx_v_sample_mask_ptr[(__pyx_v_X_argsorted_i[__pyx_v_b])]) == 0);
|
|
if (!__pyx_t_4) break;
|
|
|
|
/* "sklearn/tree/_tree.pyx":808
|
|
* b = n_total_samples - 1
|
|
* while sample_mask_ptr[X_argsorted_i[b]] == 0:
|
|
* b = b - 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* if b <= a or X_i[X_argsorted_i[a]] == X_i[X_argsorted_i[b]]:
|
|
*/
|
|
__pyx_v_b = (__pyx_v_b - 1);
|
|
}
|
|
|
|
/* "sklearn/tree/_tree.pyx":810
|
|
* b = b - 1
|
|
*
|
|
* if b <= a or X_i[X_argsorted_i[a]] == X_i[X_argsorted_i[b]]: # <<<<<<<<<<<<<<
|
|
* continue
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_b <= __pyx_v_a);
|
|
if (!__pyx_t_4) {
|
|
__pyx_t_11 = ((__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_a])]) == (__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_b])]));
|
|
__pyx_t_12 = __pyx_t_11;
|
|
} else {
|
|
__pyx_t_12 = __pyx_t_4;
|
|
}
|
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if (__pyx_t_12) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":811
|
|
*
|
|
* if b <= a or X_i[X_argsorted_i[a]] == X_i[X_argsorted_i[b]]:
|
|
* continue # <<<<<<<<<<<<<<
|
|
*
|
|
* # Draw a random threshold in [a, b)
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*/
|
|
goto __pyx_L8_continue;
|
|
goto __pyx_L14;
|
|
}
|
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__pyx_L14:;
|
|
|
|
/* "sklearn/tree/_tree.pyx":814
|
|
*
|
|
* # Draw a random threshold in [a, b)
|
|
* t = X_i[X_argsorted_i[a]] + random_state.rand() * (X_i[X_argsorted_i[b]] - X_i[X_argsorted_i[a]]) # <<<<<<<<<<<<<<
|
|
* if t == X_i[X_argsorted_i[b]]:
|
|
* t = X_i[X_argsorted_i[a]]
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*/
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__pyx_t_5 = PyFloat_FromDouble((__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_a])])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_7 = PyObject_GetAttr(__pyx_v_random_state, __pyx_n_s__rand); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_2 = PyObject_Call(__pyx_t_7, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_2);
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_t_7 = PyFloat_FromDouble(((__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_b])]) - (__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_a])]))); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_1 = PyNumber_Multiply(__pyx_t_2, __pyx_t_7); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_t_7 = PyNumber_Add(__pyx_t_5, __pyx_t_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_7);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_3 == (npy_float32)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 814; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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__pyx_v_t = __pyx_t_3;
|
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|
|
/* "sklearn/tree/_tree.pyx":815
|
|
* # Draw a random threshold in [a, b)
|
|
* t = X_i[X_argsorted_i[a]] + random_state.rand() * (X_i[X_argsorted_i[b]] - X_i[X_argsorted_i[a]])
|
|
* if t == X_i[X_argsorted_i[b]]: # <<<<<<<<<<<<<<
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|
* t = X_i[X_argsorted_i[a]]
|
|
*
|
|
*/
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__pyx_t_12 = (__pyx_v_t == (__pyx_v_X_i[(__pyx_v_X_argsorted_i[__pyx_v_b])]));
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|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/tree/_tree.pyx":816
|
|
* t = X_i[X_argsorted_i[a]] + random_state.rand() * (X_i[X_argsorted_i[b]] - X_i[X_argsorted_i[a]])
|
|
* if t == X_i[X_argsorted_i[b]]:
|
|
* t = X_i[X_argsorted_i[a]] # <<<<<<<<<<<<<<
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|
*
|
|
* # Find the sample just greater than t
|
|
*/
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|
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0) # <<<<<<<<<<<<<<
|
|
*
|
|
* ndim = PyArray_NDIM(self)
|
|
*/
|
|
__pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);
|
|
|
|
/* "numpy.pxd":202
|
|
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
|
|
*
|
|
* ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
|
|
*/
|
|
__pyx_v_ndim = PyArray_NDIM(((PyArrayObject *)__pyx_v_self));
|
|
|
|
/* "numpy.pxd":204
|
|
* ndim = PyArray_NDIM(self)
|
|
*
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<<
|
|
* copy_shape = 1
|
|
* else:
|
|
*/
|
|
__pyx_t_1 = ((sizeof(npy_intp)) != (sizeof(Py_ssize_t)));
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":205
|
|
*
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
|
|
* copy_shape = 1 # <<<<<<<<<<<<<<
|
|
* else:
|
|
* copy_shape = 0
|
|
*/
|
|
__pyx_v_copy_shape = 1;
|
|
goto __pyx_L6;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":207
|
|
* copy_shape = 1
|
|
* else:
|
|
* copy_shape = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
*/
|
|
__pyx_v_copy_shape = 0;
|
|
}
|
|
__pyx_L6:;
|
|
|
|
/* "numpy.pxd":209
|
|
* copy_shape = 0
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*/
|
|
__pyx_t_1 = ((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":210
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
*/
|
|
__pyx_t_2 = (!PyArray_CHKFLAGS(((PyArrayObject *)__pyx_v_self), NPY_C_CONTIGUOUS));
|
|
__pyx_t_3 = __pyx_t_2;
|
|
} else {
|
|
__pyx_t_3 = __pyx_t_1;
|
|
}
|
|
if (__pyx_t_3) {
|
|
|
|
/* "numpy.pxd":211
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<<
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
*/
|
|
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_2), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L7;
|
|
}
|
|
__pyx_L7:;
|
|
|
|
/* "numpy.pxd":213
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS);
|
|
if (__pyx_t_3) {
|
|
|
|
/* "numpy.pxd":214
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*
|
|
*/
|
|
__pyx_t_1 = (!PyArray_CHKFLAGS(((PyArrayObject *)__pyx_v_self), NPY_F_CONTIGUOUS));
|
|
__pyx_t_2 = __pyx_t_1;
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
}
|
|
if (__pyx_t_2) {
|
|
|
|
/* "numpy.pxd":215
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<<
|
|
*
|
|
* info.buf = PyArray_DATA(self)
|
|
*/
|
|
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_4), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L8;
|
|
}
|
|
__pyx_L8:;
|
|
|
|
/* "numpy.pxd":217
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*
|
|
* info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<<
|
|
* info.ndim = ndim
|
|
* if copy_shape:
|
|
*/
|
|
__pyx_v_info->buf = PyArray_DATA(((PyArrayObject *)__pyx_v_self));
|
|
|
|
/* "numpy.pxd":218
|
|
*
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim # <<<<<<<<<<<<<<
|
|
* if copy_shape:
|
|
* # Allocate new buffer for strides and shape info.
|
|
*/
|
|
__pyx_v_info->ndim = __pyx_v_ndim;
|
|
|
|
/* "numpy.pxd":219
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim
|
|
* if copy_shape: # <<<<<<<<<<<<<<
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
*/
|
|
if (__pyx_v_copy_shape) {
|
|
|
|
/* "numpy.pxd":222
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2) # <<<<<<<<<<<<<<
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
*/
|
|
__pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2)));
|
|
|
|
/* "numpy.pxd":223
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
|
|
* info.shape = info.strides + ndim # <<<<<<<<<<<<<<
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
*/
|
|
__pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim);
|
|
|
|
/* "numpy.pxd":224
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim): # <<<<<<<<<<<<<<
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
*/
|
|
__pyx_t_5 = __pyx_v_ndim;
|
|
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
|
|
__pyx_v_i = __pyx_t_6;
|
|
|
|
/* "numpy.pxd":225
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<<
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
*/
|
|
(__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(((PyArrayObject *)__pyx_v_self))[__pyx_v_i]);
|
|
|
|
/* "numpy.pxd":226
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
* info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<<
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
*/
|
|
(__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(((PyArrayObject *)__pyx_v_self))[__pyx_v_i]);
|
|
}
|
|
goto __pyx_L9;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":228
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self) # <<<<<<<<<<<<<<
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
*/
|
|
__pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(((PyArrayObject *)__pyx_v_self)));
|
|
|
|
/* "numpy.pxd":229
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self) # <<<<<<<<<<<<<<
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
*/
|
|
__pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(((PyArrayObject *)__pyx_v_self)));
|
|
}
|
|
__pyx_L9:;
|
|
|
|
/* "numpy.pxd":230
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL # <<<<<<<<<<<<<<
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*/
|
|
__pyx_v_info->suboffsets = NULL;
|
|
|
|
/* "numpy.pxd":231
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<<
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*
|
|
*/
|
|
__pyx_v_info->itemsize = PyArray_ITEMSIZE(((PyArrayObject *)__pyx_v_self));
|
|
|
|
/* "numpy.pxd":232
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef int t
|
|
*/
|
|
__pyx_v_info->readonly = (!PyArray_ISWRITEABLE(((PyArrayObject *)__pyx_v_self)));
|
|
|
|
/* "numpy.pxd":235
|
|
*
|
|
* cdef int t
|
|
* cdef char* f = NULL # <<<<<<<<<<<<<<
|
|
* cdef dtype descr = self.descr
|
|
* cdef list stack
|
|
*/
|
|
__pyx_v_f = NULL;
|
|
|
|
/* "numpy.pxd":236
|
|
* cdef int t
|
|
* cdef char* f = NULL
|
|
* cdef dtype descr = self.descr # <<<<<<<<<<<<<<
|
|
* cdef list stack
|
|
* cdef int offset
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_v_self)->descr));
|
|
__pyx_v_descr = ((PyArrayObject *)__pyx_v_self)->descr;
|
|
|
|
/* "numpy.pxd":240
|
|
* cdef int offset
|
|
*
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields and not copy_shape:
|
|
*/
|
|
__pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr);
|
|
|
|
/* "numpy.pxd":242
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr)
|
|
*
|
|
* if not hasfields and not copy_shape: # <<<<<<<<<<<<<<
|
|
* # do not call releasebuffer
|
|
* info.obj = None
|
|
*/
|
|
__pyx_t_2 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_2) {
|
|
__pyx_t_3 = (!__pyx_v_copy_shape);
|
|
__pyx_t_1 = __pyx_t_3;
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
}
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":244
|
|
* if not hasfields and not copy_shape:
|
|
* # do not call releasebuffer
|
|
* info.obj = None # <<<<<<<<<<<<<<
|
|
* else:
|
|
* # need to call releasebuffer
|
|
*/
|
|
__Pyx_INCREF(Py_None);
|
|
__Pyx_GIVEREF(Py_None);
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = Py_None;
|
|
goto __pyx_L12;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":247
|
|
* else:
|
|
* # need to call releasebuffer
|
|
* info.obj = self # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields:
|
|
*/
|
|
__Pyx_INCREF(__pyx_v_self);
|
|
__Pyx_GIVEREF(__pyx_v_self);
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = __pyx_v_self;
|
|
}
|
|
__pyx_L12:;
|
|
|
|
/* "numpy.pxd":249
|
|
* info.obj = self
|
|
*
|
|
* if not hasfields: # <<<<<<<<<<<<<<
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
*/
|
|
__pyx_t_1 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":250
|
|
*
|
|
* if not hasfields:
|
|
* t = descr.type_num # <<<<<<<<<<<<<<
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
*/
|
|
__pyx_v_t = __pyx_v_descr->type_num;
|
|
|
|
/* "numpy.pxd":251
|
|
* if not hasfields:
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_descr->byteorder == '>');
|
|
if (__pyx_t_1) {
|
|
__pyx_t_2 = __pyx_v_little_endian;
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_1;
|
|
}
|
|
if (!__pyx_t_2) {
|
|
|
|
/* "numpy.pxd":252
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_descr->byteorder == '<');
|
|
if (__pyx_t_1) {
|
|
__pyx_t_3 = (!__pyx_v_little_endian);
|
|
__pyx_t_7 = __pyx_t_3;
|
|
} else {
|
|
__pyx_t_7 = __pyx_t_1;
|
|
}
|
|
__pyx_t_1 = __pyx_t_7;
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
}
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":253
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' 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_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_6), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L14;
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "numpy.pxd":254
|
|
* (descr.byteorder == '<' 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_BYTE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__b;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":255
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_UBYTE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__B;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":256
|
|
* 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"
|
|
*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_SHORT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__h;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":257
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_USHORT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__H;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":258
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_INT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__i;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":259
|
|
* 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"
|
|
*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_UINT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__I;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":260
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_ULONG: f = "L"
|
|
* elif t == NPY_LONGLONG: f = "q"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_LONG);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__l;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":261
|
|
* 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"
|
|
*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_ULONG);
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if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__L;
|
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goto __pyx_L15;
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|
}
|
|
|
|
/* "numpy.pxd":262
|
|
* 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"
|
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*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_LONGLONG);
|
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if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__q;
|
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goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":263
|
|
* 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"
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*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_ULONGLONG);
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if (__pyx_t_1) {
|
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__pyx_v_f = __pyx_k__Q;
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goto __pyx_L15;
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}
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|
|
|
/* "numpy.pxd":264
|
|
* 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"
|
|
*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_FLOAT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__f;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":265
|
|
* 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"
|
|
*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_DOUBLE);
|
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if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__d;
|
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goto __pyx_L15;
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|
}
|
|
|
|
/* "numpy.pxd":266
|
|
* elif t == NPY_FLOAT: f = "f"
|
|
* elif t == NPY_DOUBLE: f = "d"
|
|
* elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_LONGDOUBLE);
|
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if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__g;
|
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goto __pyx_L15;
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|
}
|
|
|
|
/* "numpy.pxd":267
|
|
* 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"
|
|
*/
|
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__pyx_t_1 = (__pyx_v_t == NPY_CFLOAT);
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if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__Zf;
|
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goto __pyx_L15;
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|
}
|
|
|
|
/* "numpy.pxd":268
|
|
* elif t == NPY_LONGDOUBLE: f = "g"
|
|
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|
|
* elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<<
|
|
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|
|
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*/
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__pyx_t_1 = (__pyx_v_t == NPY_CDOUBLE);
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if (__pyx_t_1) {
|
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__pyx_v_f = __pyx_k__Zd;
|
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goto __pyx_L15;
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|
}
|
|
|
|
/* "numpy.pxd":269
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<<
|
|
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|
|
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|
|
*/
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__pyx_t_1 = (__pyx_v_t == NPY_CLONGDOUBLE);
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if (__pyx_t_1) {
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__pyx_v_f = __pyx_k__Zg;
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goto __pyx_L15;
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|
|
|
/* "numpy.pxd":270
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|
* elif t == NPY_CDOUBLE: f = "Zd"
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|
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|
|
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if (__pyx_t_1) {
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/*else*/ {
|
|
|
|
/* "numpy.pxd":272
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|
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|
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/* "numpy.pxd":273
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/* "numpy.pxd":274
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* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
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/* "numpy.pxd":276
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* return
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/* "numpy.pxd":277
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/* "numpy.pxd":278
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/* "numpy.pxd":281
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/* "numpy.pxd":282
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|
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static CYTHON_UNUSED void __pyx_pf_5numpy_7ndarray_1__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
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__Pyx_RefNannyDeclarations
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/* "numpy.pxd":286
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__pyx_L5:;
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/* "numpy.pxd":287
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* if PyArray_HASFIELDS(self):
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/* "numpy.pxd":288
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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/* "numpy.pxd":795
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*
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* if (end - f) - (new_offset - offset[0]) < 15:
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* raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<<
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*
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* if ((child.byteorder == '>' and little_endian) or
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*/
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__pyx_t_5 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_9), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_Raise(__pyx_t_5, 0, 0, 0);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L5;
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}
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__pyx_L5:;
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/* "numpy.pxd":797
|
|
* raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
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*
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* if ((child.byteorder == '>' and little_endian) or # <<<<<<<<<<<<<<
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* (child.byteorder == '<' and not little_endian)):
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|
* raise ValueError(u"Non-native byte order not supported")
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*/
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__pyx_t_6 = (__pyx_v_child->byteorder == '>');
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if (__pyx_t_6) {
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__pyx_t_7 = __pyx_v_little_endian;
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} else {
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__pyx_t_7 = __pyx_t_6;
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}
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if (!__pyx_t_7) {
|
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|
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/* "numpy.pxd":798
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*
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* if ((child.byteorder == '>' and little_endian) or
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* (child.byteorder == '<' and not little_endian)): # <<<<<<<<<<<<<<
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* raise ValueError(u"Non-native byte order not supported")
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* # One could encode it in the format string and have Cython
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*/
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__pyx_t_6 = (__pyx_v_child->byteorder == '<');
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if (__pyx_t_6) {
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__pyx_t_8 = (!__pyx_v_little_endian);
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__pyx_t_9 = __pyx_t_8;
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} else {
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__pyx_t_9 = __pyx_t_6;
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}
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__pyx_t_6 = __pyx_t_9;
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} else {
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__pyx_t_6 = __pyx_t_7;
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}
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if (__pyx_t_6) {
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|
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/* "numpy.pxd":799
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* if ((child.byteorder == '>' and little_endian) or
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* (child.byteorder == '<' and not little_endian)):
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* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
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* # One could encode it in the format string and have Cython
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* # complain instead, BUT: < and > in format strings also imply
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*/
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__pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_10), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_Raise(__pyx_t_5, 0, 0, 0);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L6;
|
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}
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__pyx_L6:;
|
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|
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/* "numpy.pxd":809
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*
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* # Output padding bytes
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* while offset[0] < new_offset: # <<<<<<<<<<<<<<
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* f[0] = 120 # "x"; pad byte
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* f += 1
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*/
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while (1) {
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__pyx_t_5 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 809; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_t_5, __pyx_v_new_offset, Py_LT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 809; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 809; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
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if (!__pyx_t_6) break;
|
|
|
|
/* "numpy.pxd":810
|
|
* # Output padding bytes
|
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* while offset[0] < new_offset:
|
|
* f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<<
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|
* f += 1
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|
* offset[0] += 1
|
|
*/
|
|
(__pyx_v_f[0]) = 120;
|
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|
|
/* "numpy.pxd":811
|
|
* while offset[0] < new_offset:
|
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* f[0] = 120 # "x"; pad byte
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* f += 1 # <<<<<<<<<<<<<<
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|
* offset[0] += 1
|
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*
|
|
*/
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|
__pyx_v_f = (__pyx_v_f + 1);
|
|
|
|
/* "numpy.pxd":812
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|
* f[0] = 120 # "x"; pad byte
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* f += 1
|
|
* offset[0] += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* offset[0] += child.itemsize
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*/
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|
__pyx_t_10 = 0;
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|
(__pyx_v_offset[__pyx_t_10]) = ((__pyx_v_offset[__pyx_t_10]) + 1);
|
|
}
|
|
|
|
/* "numpy.pxd":814
|
|
* offset[0] += 1
|
|
*
|
|
* offset[0] += child.itemsize # <<<<<<<<<<<<<<
|
|
*
|
|
* if not PyDataType_HASFIELDS(child):
|
|
*/
|
|
__pyx_t_10 = 0;
|
|
(__pyx_v_offset[__pyx_t_10]) = ((__pyx_v_offset[__pyx_t_10]) + __pyx_v_child->elsize);
|
|
|
|
/* "numpy.pxd":816
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|
* offset[0] += child.itemsize
|
|
*
|
|
* if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<<
|
|
* t = child.type_num
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* if end - f < 5:
|
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*/
|
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__pyx_t_6 = (!PyDataType_HASFIELDS(__pyx_v_child));
|
|
if (__pyx_t_6) {
|
|
|
|
/* "numpy.pxd":817
|
|
*
|
|
* if not PyDataType_HASFIELDS(child):
|
|
* t = child.type_num # <<<<<<<<<<<<<<
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* if end - f < 5:
|
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* raise RuntimeError(u"Format string allocated too short.")
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*/
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__pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_XDECREF(__pyx_v_t);
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__pyx_v_t = __pyx_t_3;
|
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__pyx_t_3 = 0;
|
|
|
|
/* "numpy.pxd":818
|
|
* if not PyDataType_HASFIELDS(child):
|
|
* t = child.type_num
|
|
* if end - f < 5: # <<<<<<<<<<<<<<
|
|
* raise RuntimeError(u"Format string allocated too short.")
|
|
*
|
|
*/
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__pyx_t_6 = ((__pyx_v_end - __pyx_v_f) < 5);
|
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if (__pyx_t_6) {
|
|
|
|
/* "numpy.pxd":819
|
|
* t = child.type_num
|
|
* if end - f < 5:
|
|
* raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<<
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|
*
|
|
* # Until ticket #99 is fixed, use integers to avoid warnings
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*/
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__pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_12), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L10;
|
|
}
|
|
__pyx_L10:;
|
|
|
|
/* "numpy.pxd":822
|
|
*
|
|
* # Until ticket #99 is fixed, use integers to avoid warnings
|
|
* if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UBYTE: f[0] = 66 #"B"
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h"
|
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*/
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|
__pyx_t_3 = PyInt_FromLong(NPY_BYTE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 98;
|
|
goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":823
|
|
* # Until ticket #99 is fixed, use integers to avoid warnings
|
|
* if t == NPY_BYTE: f[0] = 98 #"b"
|
|
* elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h"
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
*/
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__pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 66;
|
|
goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":824
|
|
* if t == NPY_BYTE: f[0] = 98 #"b"
|
|
* elif t == NPY_UBYTE: f[0] = 66 #"B"
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
|
|
*/
|
|
__pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 104;
|
|
goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":825
|
|
* elif t == NPY_UBYTE: f[0] = 66 #"B"
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h"
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
*/
|
|
__pyx_t_5 = PyInt_FromLong(NPY_USHORT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 72;
|
|
goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":826
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h"
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
* elif t == NPY_LONG: f[0] = 108 #"l"
|
|
*/
|
|
__pyx_t_3 = PyInt_FromLong(NPY_INT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 105;
|
|
goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":827
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
|
|
* elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONG: f[0] = 108 #"l"
|
|
* elif t == NPY_ULONG: f[0] = 76 #"L"
|
|
*/
|
|
__pyx_t_5 = PyInt_FromLong(NPY_UINT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 73;
|
|
goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":828
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
* elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_ULONG: f[0] = 76 #"L"
|
|
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
|
|
*/
|
|
__pyx_t_3 = PyInt_FromLong(NPY_LONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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(__pyx_v_f[0]) = 108;
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goto __pyx_L11;
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}
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/* "numpy.pxd":829
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* elif t == NPY_UINT: f[0] = 73 #"I"
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* elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<<
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* elif t == NPY_LONGLONG: f[0] = 113 #"q"
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_ULONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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]) = 76;
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goto __pyx_L11;
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}
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/* "numpy.pxd":830
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* elif t == NPY_LONG: f[0] = 108 #"l"
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* elif t == NPY_ULONG: f[0] = 76 #"L"
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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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*/
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__pyx_t_3 = PyInt_FromLong(NPY_LONGLONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 113;
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goto __pyx_L11;
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}
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/* "numpy.pxd":831
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* elif t == NPY_ULONG: f[0] = 76 #"L"
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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_FLOAT: f[0] = 102 #"f"
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_ULONGLONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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]) = 81;
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goto __pyx_L11;
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}
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/* "numpy.pxd":832
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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_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<<
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* elif t == NPY_DOUBLE: f[0] = 100 #"d"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_FLOAT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 102;
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goto __pyx_L11;
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}
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/* "numpy.pxd":833
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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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* elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<<
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* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
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* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_DOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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]) = 100;
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goto __pyx_L11;
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}
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/* "numpy.pxd":834
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* elif t == NPY_FLOAT: f[0] = 102 #"f"
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* elif t == NPY_DOUBLE: f[0] = 100 #"d"
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* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<<
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* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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(__pyx_v_f[0]) = 103;
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goto __pyx_L11;
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}
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/* "numpy.pxd":835
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|
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
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* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
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* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<<
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* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
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* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_CFLOAT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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]) = 90;
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(__pyx_v_f[1]) = 102;
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__pyx_v_f = (__pyx_v_f + 1);
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goto __pyx_L11;
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}
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/* "numpy.pxd":836
|
|
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
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* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
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* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<<
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* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
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* elif t == NPY_OBJECT: f[0] = 79 #"O"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_CDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 90;
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(__pyx_v_f[1]) = 100;
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__pyx_v_f = (__pyx_v_f + 1);
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goto __pyx_L11;
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}
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/* "numpy.pxd":837
|
|
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
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* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
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* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<<
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* elif t == NPY_OBJECT: f[0] = 79 #"O"
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* else:
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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]) = 90;
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(__pyx_v_f[1]) = 103;
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__pyx_v_f = (__pyx_v_f + 1);
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goto __pyx_L11;
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}
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/* "numpy.pxd":838
|
|
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
|
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* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
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* elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<<
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* else:
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* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
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*/
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 79;
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goto __pyx_L11;
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}
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/*else*/ {
|
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/* "numpy.pxd":840
|
|
* elif t == NPY_OBJECT: f[0] = 79 #"O"
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* else:
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* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<<
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* else:
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*/
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__pyx_t_5 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_7), __pyx_v_t); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(((PyObject *)__pyx_t_5));
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__pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(((PyObject *)__pyx_t_3));
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PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_5));
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__Pyx_GIVEREF(((PyObject *)__pyx_t_5));
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__pyx_t_5 = 0;
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__pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
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__Pyx_Raise(__pyx_t_5, 0, 0, 0);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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__pyx_L11:;
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/* "numpy.pxd":841
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* else:
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* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
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* f += 1 # <<<<<<<<<<<<<<
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* else:
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* # Cython ignores struct boundary information ("T{...}"),
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*/
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__pyx_v_f = (__pyx_v_f + 1);
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goto __pyx_L9;
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}
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/*else*/ {
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/* "numpy.pxd":845
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* # Cython ignores struct boundary information ("T{...}"),
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* # so don't output it
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* f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<<
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*
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*/
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__pyx_t_11 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_11 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 845; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_v_f = __pyx_t_11;
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}
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__pyx_L9:;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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/* "numpy.pxd":846
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__pyx_tp_traverse_7sklearn_4tree_5_tree_ClassificationCriterion, /*tp_traverse*/
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static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_Gini(PyTypeObject *t, PyObject *a, PyObject *k) {
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struct __pyx_obj_7sklearn_4tree_5_tree_Gini *p;
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PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_ClassificationCriterion(t, a, k);
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if (!o) return 0;
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p = ((struct __pyx_obj_7sklearn_4tree_5_tree_Gini *)o);
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p->__pyx_base.__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion*)__pyx_vtabptr_7sklearn_4tree_5_tree_Gini;
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return o;
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static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Entropy __pyx_vtable_7sklearn_4tree_5_tree_Entropy;
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static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_Entropy(PyTypeObject *t, PyObject *a, PyObject *k) {
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struct __pyx_obj_7sklearn_4tree_5_tree_Entropy *p;
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PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_ClassificationCriterion(t, a, k);
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if (!o) return 0;
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|
|
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.update = (int (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_update;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_eval;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.init_value = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_init_value;
|
|
__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_Criterion;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "ClassificationCriterion", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion = &__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_Gini = &__pyx_vtable_7sklearn_4tree_5_tree_Gini;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Gini.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Gini.__pyx_base.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_4Gini_eval;
|
|
__pyx_type_7sklearn_4tree_5_tree_Gini.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Gini) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Gini.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Gini) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Gini", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Gini) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_Gini = &__pyx_type_7sklearn_4tree_5_tree_Gini;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_Entropy = &__pyx_vtable_7sklearn_4tree_5_tree_Entropy;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Entropy.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_Entropy.__pyx_base.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_7Entropy_eval;
|
|
__pyx_type_7sklearn_4tree_5_tree_Entropy.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Entropy) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 217; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Entropy.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Entropy) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 217; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Entropy", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Entropy) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 217; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_Entropy = &__pyx_type_7sklearn_4tree_5_tree_Entropy;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion = &__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_Criterion;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.init = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, int))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_init;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.reset = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_reset;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.update = (int (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_update;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_eval;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.init_value = (PyArrayObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_init_value;
|
|
__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_Criterion;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "RegressionCriterion", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_RegressionCriterion = &__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion;
|
|
__pyx_vtabptr_7sklearn_4tree_5_tree_MSE = &__pyx_vtable_7sklearn_4tree_5_tree_MSE;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_MSE.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion;
|
|
__pyx_vtable_7sklearn_4tree_5_tree_MSE.__pyx_base.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_3MSE_eval;
|
|
__pyx_type_7sklearn_4tree_5_tree_MSE.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_RegressionCriterion;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_MSE) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_MSE.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_MSE) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "MSE", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_MSE) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_4tree_5_tree_MSE = &__pyx_type_7sklearn_4tree_5_tree_MSE;
|
|
/*--- Type import code ---*/
|
|
__pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 151; __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[1]; __pyx_lineno = 161; __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[1]; __pyx_lineno = 165; __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[1]; __pyx_lineno = 174; __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[1]; __pyx_lineno = 857; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
/*--- Variable import code ---*/
|
|
/*--- Function import code ---*/
|
|
/*--- Execution code ---*/
|
|
|
|
/* "sklearn/tree/_tree.pyx":12
|
|
* cimport cython
|
|
*
|
|
* import numpy as np # <<<<<<<<<<<<<<
|
|
* cimport numpy as np
|
|
*
|
|
*/
|
|
__pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 12; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__np, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 12; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":16
|
|
*
|
|
* # Define a datatype for the data array
|
|
* DTYPE = np.float32 # <<<<<<<<<<<<<<
|
|
* ctypedef np.float32_t DTYPE_t
|
|
* ctypedef np.int8_t BOOL_t
|
|
*/
|
|
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 16; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__float32); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 16; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__DTYPE, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 16; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":409
|
|
*
|
|
*
|
|
* def _random_sample_mask(int n_total_samples, int n_total_in_bag, random_state): # <<<<<<<<<<<<<<
|
|
* """Create a random sample mask where ``n_total_in_bag`` elements are set.
|
|
*
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree__random_sample_mask, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 409; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s___random_sample_mask, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 409; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":442
|
|
*
|
|
*
|
|
* def _apply_tree(np.ndarray[DTYPE_t, ndim=2] X, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=2] children,
|
|
* np.ndarray[np.int32_t, ndim=1] feature,
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree_1_apply_tree, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 442; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s___apply_tree, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 442; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":463
|
|
*
|
|
*
|
|
* def _predict_tree(np.ndarray[DTYPE_t, ndim=2] X, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=2] children,
|
|
* np.ndarray[np.int32_t, ndim=1] feature,
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree_2_predict_tree, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 463; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s___predict_tree, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 463; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":486
|
|
*
|
|
*
|
|
* def _predict_regression_tree_inplace(np.ndarray[DTYPE_t, ndim=2] X, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=2] children,
|
|
* np.ndarray[np.int32_t, ndim=1] feature,
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree_3_predict_regression_tree_inplace, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s_14, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":510
|
|
*
|
|
*
|
|
* def _error_at_leaf(np.ndarray[DTYPE_t, ndim=1, mode="c"] y, # <<<<<<<<<<<<<<
|
|
* np.ndarray sample_mask, Criterion criterion,
|
|
* int n_samples):
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree_4_error_at_leaf, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 510; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s___error_at_leaf, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 510; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":557
|
|
*
|
|
*
|
|
* def _find_best_split(np.ndarray[DTYPE_t, ndim=2, mode="fortran"] X, # <<<<<<<<<<<<<<
|
|
* np.ndarray[DTYPE_t, ndim=1, mode="c"] y,
|
|
* np.ndarray[np.int32_t, ndim=2, mode="fortran"] X_argsorted,
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree_5_find_best_split, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 557; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s___find_best_split, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 557; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":698
|
|
* return best_i, best_t, best_error, initial_error
|
|
*
|
|
* def _find_best_random_split(np.ndarray[DTYPE_t, ndim=2, mode="fortran"] X, # <<<<<<<<<<<<<<
|
|
* np.ndarray[DTYPE_t, ndim=1, mode="c"] y,
|
|
* np.ndarray[np.int32_t, ndim=2, mode="fortran"] X_argsorted,
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_4tree_5_tree_6_find_best_random_split, NULL, __pyx_n_s_13); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s_15, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 698; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/tree/_tree.pyx":1
|
|
* # encoding: utf-8 # <<<<<<<<<<<<<<
|
|
* # cython: cdivision=True
|
|
* # cython: boundscheck=False
|
|
*/
|
|
__pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_2));
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s____test__, ((PyObject *)__pyx_t_2)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
|
|
|
|
/* "numpy.pxd":971
|
|
* arr.base = baseptr
|
|
*
|
|
* cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<<
|
|
* if arr.base is NULL:
|
|
* return None
|
|
*/
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_2);
|
|
if (__pyx_m) {
|
|
__Pyx_AddTraceback("init sklearn.tree._tree", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
Py_DECREF(__pyx_m); __pyx_m = 0;
|
|
} else if (!PyErr_Occurred()) {
|
|
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 /* CYTHON_REFNANNY */
|
|
|
|
static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name) {
|
|
PyObject *result;
|
|
result = PyObject_GetAttr(dict, name);
|
|
if (!result) {
|
|
if (dict != __pyx_b) {
|
|
PyErr_Clear();
|
|
result = PyObject_GetAttr(__pyx_b, name);
|
|
}
|
|
if (!result) {
|
|
PyErr_SetObject(PyExc_NameError, name);
|
|
}
|
|
}
|
|
return result;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
|
|
if (unlikely(!type)) {
|
|
PyErr_Format(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 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_AS_STRING(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;
|
|
} else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (unlikely(!PyString_CheckExact(key)) && unlikely(!PyString_Check(key))) {
|
|
#else
|
|
if (unlikely(!PyUnicode_CheckExact(key)) && unlikely(!PyUnicode_Check(key))) {
|
|
#endif
|
|
goto invalid_keyword_type;
|
|
} else {
|
|
for (name = first_kw_arg; *name; name++) {
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyUnicode_GET_SIZE(**name) == PyUnicode_GET_SIZE(key) &&
|
|
PyUnicode_Compare(**name, key) == 0) break;
|
|
#else
|
|
if (PyString_GET_SIZE(**name) == PyString_GET_SIZE(key) &&
|
|
_PyString_Eq(**name, key)) break;
|
|
#endif
|
|
}
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
} else {
|
|
/* unexpected keyword found */
|
|
for (name=argnames; name != first_kw_arg; name++) {
|
|
if (**name == key) goto arg_passed_twice;
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyUnicode_GET_SIZE(**name) == PyUnicode_GET_SIZE(key) &&
|
|
PyUnicode_Compare(**name, key) == 0) goto arg_passed_twice;
|
|
#else
|
|
if (PyString_GET_SIZE(**name) == PyString_GET_SIZE(key) &&
|
|
_PyString_Eq(**name, key)) goto arg_passed_twice;
|
|
#endif
|
|
}
|
|
if (kwds2) {
|
|
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
|
|
} else {
|
|
goto invalid_keyword;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return 0;
|
|
arg_passed_twice:
|
|
__Pyx_RaiseDoubleKeywordsError(function_name, **name);
|
|
goto bad;
|
|
invalid_keyword_type:
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s() keywords must be strings", function_name);
|
|
goto bad;
|
|
invalid_keyword:
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION < 3
|
|
"%s() got an unexpected keyword argument '%s'",
|
|
function_name, PyString_AsString(key));
|
|
#else
|
|
"%s() got an unexpected keyword argument '%U'",
|
|
function_name, key);
|
|
#endif
|
|
bad:
|
|
return -1;
|
|
}
|
|
|
|
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,
|
|
"%s() takes %s %"PY_FORMAT_SIZE_T"d positional argument%s (%"PY_FORMAT_SIZE_T"d given)",
|
|
func_name, more_or_less, num_expected,
|
|
(num_expected == 1) ? "" : "s", num_found);
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
|
|
unsigned int n = 1;
|
|
return *(unsigned char*)(&n) != 0;
|
|
}
|
|
|
|
typedef struct {
|
|
__Pyx_StructField root;
|
|
__Pyx_BufFmt_StackElem* head;
|
|
size_t fmt_offset;
|
|
size_t new_count, enc_count;
|
|
int is_complex;
|
|
char enc_type;
|
|
char new_packmode;
|
|
char enc_packmode;
|
|
} __Pyx_BufFmt_Context;
|
|
|
|
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;
|
|
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 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 'b': return "'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 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': 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': 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, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': 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;
|
|
}
|
|
}
|
|
|
|
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'h': case 'i': case 'l': case 'q': 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;
|
|
if (ctx->enc_type == 0) return 0;
|
|
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 (type->size != size || type->typegroup != group) {
|
|
if (type->typegroup == 'C' && type->fields != NULL) {
|
|
/* special case -- treat as struct rather than complex number */
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = parent_offset;
|
|
continue;
|
|
}
|
|
|
|
__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 %"PY_FORMAT_SIZE_T"d but %"PY_FORMAT_SIZE_T"d expected",
|
|
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
|
|
return -1;
|
|
}
|
|
|
|
ctx->fmt_offset += size;
|
|
|
|
--ctx->enc_count; /* Consume from buffer string */
|
|
|
|
/* Done checking, move to next field, pushing or popping struct stack if needed */
|
|
while (1) {
|
|
if (field == &ctx->root) {
|
|
ctx->head = NULL;
|
|
if (ctx->enc_count != 0) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
break; /* breaks both loops as ctx->enc_count == 0 */
|
|
}
|
|
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; /* empty struct */
|
|
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 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 10:
|
|
case 13:
|
|
++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': /* substruct */
|
|
{
|
|
const char* ts_after_sub;
|
|
size_t i, struct_count = ctx->new_count;
|
|
ctx->new_count = 1;
|
|
++ts;
|
|
if (*ts != '{') {
|
|
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
|
|
return NULL;
|
|
}
|
|
++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;
|
|
}
|
|
break;
|
|
case '}': /* end of substruct; either repeat or move on */
|
|
++ts;
|
|
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;
|
|
} /* fall through */
|
|
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':
|
|
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
|
|
ctx->enc_packmode == ctx->new_packmode) {
|
|
/* Continue pooling same type */
|
|
ctx->enc_count += ctx->new_count;
|
|
} else {
|
|
/* New type */
|
|
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;
|
|
default:
|
|
{
|
|
int number = __Pyx_BufFmt_ParseNumber(&ts);
|
|
if (number == -1) { /* First char was not a digit */
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Does not understand character buffer dtype format string ('%c')", *ts);
|
|
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 (%"PY_FORMAT_SIZE_T"d byte%s) does not match size of '%s' (%"PY_FORMAT_SIZE_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 void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
|
|
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);
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
|
|
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;
|
|
}
|
|
|
|
|
|
static CYTHON_INLINE int __Pyx_CheckKeywordStrings(
|
|
PyObject *kwdict,
|
|
const char* function_name,
|
|
int kw_allowed)
|
|
{
|
|
PyObject* key = 0;
|
|
Py_ssize_t pos = 0;
|
|
while (PyDict_Next(kwdict, &pos, &key, 0)) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (unlikely(!PyString_CheckExact(key)) && unlikely(!PyString_Check(key)))
|
|
#else
|
|
if (unlikely(!PyUnicode_CheckExact(key)) && unlikely(!PyUnicode_Check(key)))
|
|
#endif
|
|
goto invalid_keyword_type;
|
|
}
|
|
if ((!kw_allowed) && unlikely(key))
|
|
goto invalid_keyword;
|
|
return 1;
|
|
invalid_keyword_type:
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s() keywords must be strings", function_name);
|
|
return 0;
|
|
invalid_keyword:
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION < 3
|
|
"%s() got an unexpected keyword argument '%s'",
|
|
function_name, PyString_AsString(key));
|
|
#else
|
|
"%s() got an unexpected keyword argument '%U'",
|
|
function_name, key);
|
|
#endif
|
|
return 0;
|
|
}
|
|
|
|
static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
|
|
const char *name, int exact)
|
|
{
|
|
if (!type) {
|
|
PyErr_Format(PyExc_SystemError, "Missing type object");
|
|
return 0;
|
|
}
|
|
if (none_allowed && obj == Py_None) return 1;
|
|
else if (exact) {
|
|
if (Py_TYPE(obj) == type) return 1;
|
|
}
|
|
else {
|
|
if (PyObject_TypeCheck(obj, type)) return 1;
|
|
}
|
|
PyErr_Format(PyExc_TypeError,
|
|
"Argument '%s' has incorrect type (expected %s, got %s)",
|
|
name, type->tp_name, Py_TYPE(obj)->tp_name);
|
|
return 0;
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
|
|
/* cause is unused */
|
|
Py_XINCREF(type);
|
|
Py_XINCREF(value);
|
|
Py_XINCREF(tb);
|
|
/* First, check the traceback argument, replacing None with NULL. */
|
|
if (tb == Py_None) {
|
|
Py_DECREF(tb);
|
|
tb = 0;
|
|
}
|
|
else if (tb != NULL && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto raise_error;
|
|
}
|
|
/* Next, replace a missing value with None */
|
|
if (value == NULL) {
|
|
value = Py_None;
|
|
Py_INCREF(value);
|
|
}
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (!PyClass_Check(type))
|
|
#else
|
|
if (!PyType_Check(type))
|
|
#endif
|
|
{
|
|
/* Raising an instance. The value should be a dummy. */
|
|
if (value != Py_None) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto raise_error;
|
|
}
|
|
/* Normalize to raise <class>, <instance> */
|
|
Py_DECREF(value);
|
|
value = type;
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (PyInstance_Check(type)) {
|
|
type = (PyObject*) ((PyInstanceObject*)type)->in_class;
|
|
Py_INCREF(type);
|
|
}
|
|
else {
|
|
type = 0;
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception must be an old-style class or instance");
|
|
goto raise_error;
|
|
}
|
|
#else
|
|
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;
|
|
}
|
|
#endif
|
|
}
|
|
|
|
__Pyx_ErrRestore(type, value, tb);
|
|
return;
|
|
raise_error:
|
|
Py_XDECREF(value);
|
|
Py_XDECREF(type);
|
|
Py_XDECREF(tb);
|
|
return;
|
|
}
|
|
|
|
#else /* Python 3+ */
|
|
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
|
|
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)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto bad;
|
|
}
|
|
|
|
if (cause) {
|
|
PyObject *fixed_cause;
|
|
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;
|
|
}
|
|
if (!value) {
|
|
value = PyObject_CallObject(type, NULL);
|
|
}
|
|
PyException_SetCause(value, fixed_cause);
|
|
}
|
|
|
|
PyErr_SetObject(type, value);
|
|
|
|
if (tb) {
|
|
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);
|
|
}
|
|
}
|
|
|
|
bad:
|
|
return;
|
|
}
|
|
#endif
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"need more than %"PY_FORMAT_SIZE_T"d value%s to unpack",
|
|
index, (index == 1) ? "" : "s");
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"too many values to unpack (expected %"PY_FORMAT_SIZE_T"d)", expected);
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
|
|
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
|
|
}
|
|
|
|
static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
|
|
if (t == Py_None) {
|
|
__Pyx_RaiseNoneNotIterableError();
|
|
} else if (PyTuple_GET_SIZE(t) < index) {
|
|
__Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
|
|
} else {
|
|
__Pyx_RaiseTooManyValuesError(index);
|
|
}
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
|
|
#if PY_VERSION_HEX >= 0x02060000
|
|
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
|
|
#endif
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pf_5numpy_7ndarray___getbuffer__(obj, view, flags);
|
|
else {
|
|
PyErr_Format(PyExc_TypeError, "'%100s' 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) {
|
|
#if PY_VERSION_HEX >= 0x02060000
|
|
if (PyObject_CheckBuffer(obj)) {PyBuffer_Release(view); return;}
|
|
#endif
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pf_5numpy_7ndarray_1__releasebuffer__(obj, view);
|
|
Py_DECREF(obj);
|
|
view->obj = NULL;
|
|
}
|
|
}
|
|
|
|
#endif
|
|
|
|
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level) {
|
|
PyObject *py_import = 0;
|
|
PyObject *empty_list = 0;
|
|
PyObject *module = 0;
|
|
PyObject *global_dict = 0;
|
|
PyObject *empty_dict = 0;
|
|
PyObject *list;
|
|
py_import = __Pyx_GetAttrString(__pyx_b, "__import__");
|
|
if (!py_import)
|
|
goto bad;
|
|
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_VERSION_HEX >= 0x02050000
|
|
{
|
|
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
|
|
if (level>0) {
|
|
PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4.");
|
|
goto bad;
|
|
}
|
|
module = PyObject_CallFunctionObjArgs(py_import,
|
|
name, global_dict, empty_dict, list, NULL);
|
|
#endif
|
|
bad:
|
|
Py_XDECREF(empty_list);
|
|
Py_XDECREF(py_import);
|
|
Py_XDECREF(empty_dict);
|
|
return module;
|
|
}
|
|
|
|
#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 unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) {
|
|
const unsigned char neg_one = (unsigned char)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(unsigned char) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(unsigned char)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to unsigned char" :
|
|
"value too large to convert to unsigned char");
|
|
}
|
|
return (unsigned char)-1;
|
|
}
|
|
return (unsigned char)val;
|
|
}
|
|
return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) {
|
|
const unsigned short neg_one = (unsigned short)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(unsigned short) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(unsigned short)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to unsigned short" :
|
|
"value too large to convert to unsigned short");
|
|
}
|
|
return (unsigned short)-1;
|
|
}
|
|
return (unsigned short)val;
|
|
}
|
|
return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) {
|
|
const unsigned int neg_one = (unsigned int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(unsigned int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(unsigned int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to unsigned int" :
|
|
"value too large to convert to unsigned int");
|
|
}
|
|
return (unsigned int)-1;
|
|
}
|
|
return (unsigned int)val;
|
|
}
|
|
return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) {
|
|
const char neg_one = (char)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(char) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(char)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to char" :
|
|
"value too large to convert to char");
|
|
}
|
|
return (char)-1;
|
|
}
|
|
return (char)val;
|
|
}
|
|
return (char)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) {
|
|
const short neg_one = (short)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(short) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(short)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to short" :
|
|
"value too large to convert to short");
|
|
}
|
|
return (short)-1;
|
|
}
|
|
return (short)val;
|
|
}
|
|
return (short)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) {
|
|
const int neg_one = (int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to int" :
|
|
"value too large to convert to int");
|
|
}
|
|
return (int)-1;
|
|
}
|
|
return (int)val;
|
|
}
|
|
return (int)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) {
|
|
const signed char neg_one = (signed char)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(signed char) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(signed char)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to signed char" :
|
|
"value too large to convert to signed char");
|
|
}
|
|
return (signed char)-1;
|
|
}
|
|
return (signed char)val;
|
|
}
|
|
return (signed char)__Pyx_PyInt_AsSignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) {
|
|
const signed short neg_one = (signed short)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(signed short) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(signed short)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to signed short" :
|
|
"value too large to convert to signed short");
|
|
}
|
|
return (signed short)-1;
|
|
}
|
|
return (signed short)val;
|
|
}
|
|
return (signed short)__Pyx_PyInt_AsSignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) {
|
|
const signed int neg_one = (signed int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(signed int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(signed int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to signed int" :
|
|
"value too large to convert to signed int");
|
|
}
|
|
return (signed int)-1;
|
|
}
|
|
return (signed int)val;
|
|
}
|
|
return (signed int)__Pyx_PyInt_AsSignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) {
|
|
const int neg_one = (int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to int" :
|
|
"value too large to convert to int");
|
|
}
|
|
return (int)-1;
|
|
}
|
|
return (int)val;
|
|
}
|
|
return (int)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) {
|
|
const unsigned long neg_one = (unsigned long)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned long");
|
|
return (unsigned long)-1;
|
|
}
|
|
return (unsigned long)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned long");
|
|
return (unsigned long)-1;
|
|
}
|
|
return (unsigned long)PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return (unsigned long)PyLong_AsLong(x);
|
|
}
|
|
} else {
|
|
unsigned long val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (unsigned long)-1;
|
|
val = __Pyx_PyInt_AsUnsignedLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) {
|
|
const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned PY_LONG_LONG");
|
|
return (unsigned PY_LONG_LONG)-1;
|
|
}
|
|
return (unsigned PY_LONG_LONG)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned PY_LONG_LONG");
|
|
return (unsigned PY_LONG_LONG)-1;
|
|
}
|
|
return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x);
|
|
}
|
|
} else {
|
|
unsigned PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (unsigned PY_LONG_LONG)-1;
|
|
val = __Pyx_PyInt_AsUnsignedLongLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) {
|
|
const long neg_one = (long)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to long");
|
|
return (long)-1;
|
|
}
|
|
return (long)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to long");
|
|
return (long)-1;
|
|
}
|
|
return (long)PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return (long)PyLong_AsLong(x);
|
|
}
|
|
} else {
|
|
long val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (long)-1;
|
|
val = __Pyx_PyInt_AsLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) {
|
|
const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to PY_LONG_LONG");
|
|
return (PY_LONG_LONG)-1;
|
|
}
|
|
return (PY_LONG_LONG)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to PY_LONG_LONG");
|
|
return (PY_LONG_LONG)-1;
|
|
}
|
|
return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return (PY_LONG_LONG)PyLong_AsLongLong(x);
|
|
}
|
|
} else {
|
|
PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (PY_LONG_LONG)-1;
|
|
val = __Pyx_PyInt_AsLongLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) {
|
|
const signed long neg_one = (signed long)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed long");
|
|
return (signed long)-1;
|
|
}
|
|
return (signed long)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed long");
|
|
return (signed long)-1;
|
|
}
|
|
return (signed long)PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return (signed long)PyLong_AsLong(x);
|
|
}
|
|
} else {
|
|
signed long val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (signed long)-1;
|
|
val = __Pyx_PyInt_AsSignedLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) {
|
|
const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed PY_LONG_LONG");
|
|
return (signed PY_LONG_LONG)-1;
|
|
}
|
|
return (signed PY_LONG_LONG)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed PY_LONG_LONG");
|
|
return (signed PY_LONG_LONG)-1;
|
|
}
|
|
return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return (signed PY_LONG_LONG)PyLong_AsLongLong(x);
|
|
}
|
|
} else {
|
|
signed PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (signed PY_LONG_LONG)-1;
|
|
val = __Pyx_PyInt_AsSignedLongLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
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);
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
return PyErr_Warn(NULL, message);
|
|
#else
|
|
return PyErr_WarnEx(NULL, message, 1);
|
|
#endif
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
|
|
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0)
|
|
PyObject *ob = PyCapsule_New(vtable, 0, 0);
|
|
#else
|
|
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
|
|
#endif
|
|
if (!ob)
|
|
goto bad;
|
|
if (PyDict_SetItemString(dict, "__pyx_vtable__", ob) < 0)
|
|
goto bad;
|
|
Py_DECREF(ob);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(ob);
|
|
return -1;
|
|
}
|
|
|
|
#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_module = __Pyx_ImportModule(module_name);
|
|
if (!py_module)
|
|
goto bad;
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_name = PyString_FromString(class_name);
|
|
#else
|
|
py_name = PyUnicode_FromString(class_name);
|
|
#endif
|
|
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,
|
|
"%s.%s is not a type object",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
if (!strict && ((PyTypeObject *)result)->tp_basicsize > (Py_ssize_t)size) {
|
|
PyOS_snprintf(warning, sizeof(warning),
|
|
"%s.%s size changed, may indicate binary incompatibility",
|
|
module_name, class_name);
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (PyErr_Warn(NULL, warning) < 0) goto bad;
|
|
#else
|
|
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
|
|
#endif
|
|
}
|
|
else if (((PyTypeObject *)result)->tp_basicsize != (Py_ssize_t)size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"%s.%s 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_ImportModule
|
|
#define __PYX_HAVE_RT_ImportModule
|
|
static PyObject *__Pyx_ImportModule(const char *name) {
|
|
PyObject *py_name = 0;
|
|
PyObject *py_module = 0;
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_name = PyString_FromString(name);
|
|
#else
|
|
py_name = PyUnicode_FromString(name);
|
|
#endif
|
|
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
|
|
|
|
#include "compile.h"
|
|
#include "frameobject.h"
|
|
#include "traceback.h"
|
|
|
|
static void __Pyx_AddTraceback(const char *funcname, int __pyx_clineno,
|
|
int __pyx_lineno, const char *__pyx_filename) {
|
|
PyObject *py_srcfile = 0;
|
|
PyObject *py_funcname = 0;
|
|
PyObject *py_globals = 0;
|
|
PyCodeObject *py_code = 0;
|
|
PyFrameObject *py_frame = 0;
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_srcfile = PyString_FromString(__pyx_filename);
|
|
#else
|
|
py_srcfile = PyUnicode_FromString(__pyx_filename);
|
|
#endif
|
|
if (!py_srcfile) goto bad;
|
|
if (__pyx_clineno) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
|
|
#else
|
|
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
|
|
#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_globals = PyModule_GetDict(__pyx_m);
|
|
if (!py_globals) goto bad;
|
|
py_code = PyCode_New(
|
|
0, /*int argcount,*/
|
|
#if PY_MAJOR_VERSION >= 3
|
|
0, /*int kwonlyargcount,*/
|
|
#endif
|
|
0, /*int nlocals,*/
|
|
0, /*int stacksize,*/
|
|
0, /*int flags,*/
|
|
__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,*/
|
|
__pyx_lineno, /*int firstlineno,*/
|
|
__pyx_empty_bytes /*PyObject *lnotab*/
|
|
);
|
|
if (!py_code) goto bad;
|
|
py_frame = PyFrame_New(
|
|
PyThreadState_GET(), /*PyThreadState *tstate,*/
|
|
py_code, /*PyCodeObject *code,*/
|
|
py_globals, /*PyObject *globals,*/
|
|
0 /*PyObject *locals*/
|
|
);
|
|
if (!py_frame) goto bad;
|
|
py_frame->f_lineno = __pyx_lineno;
|
|
PyTraceBack_Here(py_frame);
|
|
bad:
|
|
Py_XDECREF(py_srcfile);
|
|
Py_XDECREF(py_funcname);
|
|
Py_XDECREF(py_code);
|
|
Py_XDECREF(py_frame);
|
|
}
|
|
|
|
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 /* Python 3+ has unicode identifiers */
|
|
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;
|
|
}
|
|
|
|
/* Type Conversion Functions */
|
|
|
|
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_VERSION_HEX < 0x03000000
|
|
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_VERSION_HEX < 0x03000000
|
|
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_VERSION_HEX < 0x03000000
|
|
if (!PyInt_Check(res) && !PyLong_Check(res)) {
|
|
#else
|
|
if (!PyLong_Check(res)) {
|
|
#endif
|
|
PyErr_Format(PyExc_TypeError,
|
|
"__%s__ returned non-%s (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 = 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) {
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (ival <= LONG_MAX)
|
|
return PyInt_FromLong((long)ival);
|
|
else {
|
|
unsigned char *bytes = (unsigned char *) &ival;
|
|
int one = 1; int little = (int)*(unsigned char*)&one;
|
|
return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0);
|
|
}
|
|
#else
|
|
return PyInt_FromSize_t(ival);
|
|
#endif
|
|
}
|
|
|
|
static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) {
|
|
unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x);
|
|
if (unlikely(val == (unsigned PY_LONG_LONG)-1 && PyErr_Occurred())) {
|
|
return (size_t)-1;
|
|
} else if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to size_t");
|
|
return (size_t)-1;
|
|
}
|
|
return (size_t)val;
|
|
}
|
|
|
|
|
|
#endif /* Py_PYTHON_H */
|