12114 lines
601 KiB
C
12114 lines
601 KiB
C
/* Generated by Cython 0.17.1 on Fri Oct 5 18:10:15 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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#elif PY_VERSION_HEX < 0x02040000
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#error Cython requires Python 2.4+.
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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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#ifndef Py_HUGE_VAL
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#define Py_HUGE_VAL HUGE_VAL
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#endif
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#ifdef PYPY_VERSION
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#define CYTHON_COMPILING_IN_PYPY 1
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#define CYTHON_COMPILING_IN_CPYTHON 0
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#else
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#define CYTHON_COMPILING_IN_PYPY 0
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#define CYTHON_COMPILING_IN_CPYTHON 1
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#endif
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#if 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 CYTHON_FORMAT_SSIZE_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_Check(o) && !PyFloat_Check(o)) ? PyNumber_Int(o) : \
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(PyErr_Format(PyExc_TypeError, \
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"expected index value, got %.200s", Py_TYPE(o)->tp_name), \
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(PyObject*)0))
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#define PyIndex_Check(o) (PyNumber_Check(o) && !PyFloat_Check(o) && !PyComplex_Check(o))
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#define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message)
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#define __PYX_BUILD_PY_SSIZE_T "i"
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#else
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#define __PYX_BUILD_PY_SSIZE_T "n"
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#define CYTHON_FORMAT_SSIZE_T "z"
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#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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#define PyBUF_RECORDS (PyBUF_STRIDES | PyBUF_FORMAT | PyBUF_WRITABLE)
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#define PyBUF_FULL (PyBUF_INDIRECT | PyBUF_FORMAT | PyBUF_WRITABLE)
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typedef int (*getbufferproc)(PyObject *, Py_buffer *, int);
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typedef void (*releasebufferproc)(PyObject *, Py_buffer *);
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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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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \
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PyCode_New(a, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#else
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \
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PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#endif
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#if PY_MAJOR_VERSION < 3 && PY_MINOR_VERSION < 6
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#define PyUnicode_FromString(s) PyUnicode_Decode(s, strlen(s), "UTF-8", "strict")
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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_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
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#define CYTHON_PEP393_ENABLED 1
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#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ? \
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0 : _PyUnicode_Ready((PyObject *)(op)))
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
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#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
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#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
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#else
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#define CYTHON_PEP393_ENABLED 0
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#define __Pyx_PyUnicode_READY(op) (0)
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
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#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
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#define __Pyx_PyUnicode_READ(k, d, i) ((k=k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
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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) || (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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#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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#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__svm__libsvm
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#define __PYX_HAVE_API__sklearn__svm__libsvm
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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 "svm.h"
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#include "libsvm_helper.c"
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#ifdef _OPENMP
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#include <omp.h>
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#endif /* _OPENMP */
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|
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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) && !defined(_MSC_VER))
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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*);
|
|
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
|
|
#else
|
|
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
|
|
#endif
|
|
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
|
|
|
|
#ifdef __GNUC__
|
|
/* Test for GCC > 2.95 */
|
|
#if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))
|
|
#define likely(x) __builtin_expect(!!(x), 1)
|
|
#define unlikely(x) __builtin_expect(!!(x), 0)
|
|
#else /* __GNUC__ > 2 ... */
|
|
#define likely(x) (x)
|
|
#define unlikely(x) (x)
|
|
#endif /* __GNUC__ > 2 ... */
|
|
#else /* __GNUC__ */
|
|
#define likely(x) (x)
|
|
#define unlikely(x) (x)
|
|
#endif /* __GNUC__ */
|
|
|
|
static PyObject *__pyx_m;
|
|
static PyObject *__pyx_b;
|
|
static PyObject *__pyx_empty_tuple;
|
|
static PyObject *__pyx_empty_bytes;
|
|
static int __pyx_lineno;
|
|
static int __pyx_clineno = 0;
|
|
static const char * __pyx_cfilenm= __FILE__;
|
|
static const char *__pyx_filename;
|
|
|
|
#if !defined(CYTHON_CCOMPLEX)
|
|
#if defined(__cplusplus)
|
|
#define CYTHON_CCOMPLEX 1
|
|
#elif defined(_Complex_I)
|
|
#define CYTHON_CCOMPLEX 1
|
|
#else
|
|
#define CYTHON_CCOMPLEX 0
|
|
#endif
|
|
#endif
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
#include <complex>
|
|
#else
|
|
#include <complex.h>
|
|
#endif
|
|
#endif
|
|
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
|
|
#undef _Complex_I
|
|
#define _Complex_I 1.0fj
|
|
#endif
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|
|
|
|
|
static const char *__pyx_f[] = {
|
|
"libsvm.pyx",
|
|
"numpy.pxd",
|
|
"type.pxd",
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|
};
|
|
#define IS_UNSIGNED(type) (((type) -1) > 0)
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|
struct __Pyx_StructField_;
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|
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
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|
typedef struct {
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|
const char* name; /* for error messages only */
|
|
struct __Pyx_StructField_* fields;
|
|
size_t size; /* sizeof(type) */
|
|
size_t arraysize[8]; /* length of array in each dimension */
|
|
int ndim;
|
|
char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject, c_H_ar */
|
|
char is_unsigned;
|
|
int flags;
|
|
} __Pyx_TypeInfo;
|
|
typedef struct __Pyx_StructField_ {
|
|
__Pyx_TypeInfo* type;
|
|
const char* name;
|
|
size_t offset;
|
|
} __Pyx_StructField;
|
|
typedef struct {
|
|
__Pyx_StructField* field;
|
|
size_t parent_offset;
|
|
} __Pyx_BufFmt_StackElem;
|
|
typedef struct {
|
|
__Pyx_StructField root;
|
|
__Pyx_BufFmt_StackElem* head;
|
|
size_t fmt_offset;
|
|
size_t new_count, enc_count;
|
|
size_t struct_alignment;
|
|
int is_complex;
|
|
char enc_type;
|
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char new_packmode;
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char enc_packmode;
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char is_valid_array;
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} __Pyx_BufFmt_Context;
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/* "numpy.pxd":723
|
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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":724
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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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/* "numpy.pxd":725
|
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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;
|
|
|
|
/* "numpy.pxd":726
|
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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 # <<<<<<<<<<<<<<
|
|
* #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;
|
|
|
|
/* "numpy.pxd":730
|
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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;
|
|
|
|
/* "numpy.pxd":731
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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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typedef npy_uint16 __pyx_t_5numpy_uint16_t;
|
|
|
|
/* "numpy.pxd":732
|
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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
|
|
* #ctypedef npy_uint96 uint96_t
|
|
*/
|
|
typedef npy_uint32 __pyx_t_5numpy_uint32_t;
|
|
|
|
/* "numpy.pxd":733
|
|
* ctypedef npy_uint16 uint16_t
|
|
* ctypedef npy_uint32 uint32_t
|
|
* ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<<
|
|
* #ctypedef npy_uint96 uint96_t
|
|
* #ctypedef npy_uint128 uint128_t
|
|
*/
|
|
typedef npy_uint64 __pyx_t_5numpy_uint64_t;
|
|
|
|
/* "numpy.pxd":737
|
|
* #ctypedef npy_uint128 uint128_t
|
|
*
|
|
* ctypedef npy_float32 float32_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_float64 float64_t
|
|
* #ctypedef npy_float80 float80_t
|
|
*/
|
|
typedef npy_float32 __pyx_t_5numpy_float32_t;
|
|
|
|
/* "numpy.pxd":738
|
|
*
|
|
* ctypedef npy_float32 float32_t
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|
* ctypedef npy_float64 float64_t # <<<<<<<<<<<<<<
|
|
* #ctypedef npy_float80 float80_t
|
|
* #ctypedef npy_float128 float128_t
|
|
*/
|
|
typedef npy_float64 __pyx_t_5numpy_float64_t;
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|
|
|
/* "numpy.pxd":747
|
|
* # 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":748
|
|
* # 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;
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|
|
|
/* "numpy.pxd":749
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|
* ctypedef npy_long int_t
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|
* ctypedef npy_longlong long_t
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|
* ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_ulong uint_t
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|
*/
|
|
typedef npy_longlong __pyx_t_5numpy_longlong_t;
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|
|
|
/* "numpy.pxd":751
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|
* ctypedef npy_longlong longlong_t
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|
*
|
|
* 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":752
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|
*
|
|
* ctypedef npy_ulong uint_t
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|
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
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|
|
|
/* "numpy.pxd":753
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|
* ctypedef npy_ulong uint_t
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|
* 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":755
|
|
* 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":756
|
|
*
|
|
* 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":758
|
|
* 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":759
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|
*
|
|
* ctypedef npy_double float_t
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|
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_double_t;
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|
|
|
/* "numpy.pxd":760
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|
* ctypedef npy_double float_t
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|
* ctypedef npy_double double_t
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|
* ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
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|
*/
|
|
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
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|
#if CYTHON_CCOMPLEX
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|
#ifdef __cplusplus
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|
typedef ::std::complex< float > __pyx_t_float_complex;
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|
#else
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|
typedef float _Complex __pyx_t_float_complex;
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#endif
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#else
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typedef struct { float real, imag; } __pyx_t_float_complex;
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|
#endif
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|
|
|
#if CYTHON_CCOMPLEX
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|
#ifdef __cplusplus
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typedef ::std::complex< double > __pyx_t_double_complex;
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typedef double _Complex __pyx_t_double_complex;
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#endif
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typedef struct { double real, imag; } __pyx_t_double_complex;
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|
|
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/*--- Type declarations ---*/
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|
|
|
/* "numpy.pxd":762
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|
* ctypedef npy_longdouble longdouble_t
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|
*
|
|
* ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<<
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|
* ctypedef npy_cdouble cdouble_t
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|
* ctypedef npy_clongdouble clongdouble_t
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*/
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|
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
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|
|
|
/* "numpy.pxd":763
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|
*
|
|
* ctypedef npy_cfloat cfloat_t
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|
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
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|
* ctypedef npy_clongdouble clongdouble_t
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|
*
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
|
|
|
|
/* "numpy.pxd":764
|
|
* ctypedef npy_cfloat cfloat_t
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|
* ctypedef npy_cdouble cdouble_t
|
|
* ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_cdouble complex_t
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|
*/
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|
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
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|
|
|
/* "numpy.pxd":766
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|
* ctypedef npy_clongdouble clongdouble_t
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|
*
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|
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
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|
*
|
|
* cdef inline object PyArray_MultiIterNew1(a):
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|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_complex_t;
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#define CYTHON_REFNANNY 0
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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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static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
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static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); /*proto*/
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__Pyx_RefNanny->FinishContext(&__pyx_refnanny)
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#define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
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#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
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#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
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#define __Pyx_DECREF(r) Py_DECREF(r)
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#define __Pyx_GOTREF(r)
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#define __Pyx_GIVEREF(r)
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#define __Pyx_XINCREF(r) Py_XINCREF(r)
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#define __Pyx_XDECREF(r) Py_XDECREF(r)
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#define __Pyx_XGOTREF(r)
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#define __Pyx_XGIVEREF(r)
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#endif /* CYTHON_REFNANNY */
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#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
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#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
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static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name); /*proto*/
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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*/
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static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); /*proto*/
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static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \
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PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \
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const char* function_name); /*proto*/
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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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static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj,
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__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 int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/
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static void __Pyx_RaiseBufferFallbackError(void); /*proto*/
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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 void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/
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static CYTHON_INLINE long __Pyx_div_long(long, long); /* proto */
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static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
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static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
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static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
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static CYTHON_INLINE int __Pyx_IterFinish(void); /*proto*/
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static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /*proto*/
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typedef struct {
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Py_ssize_t shape, strides, suboffsets;
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} __Pyx_Buf_DimInfo;
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typedef struct {
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size_t refcount;
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Py_buffer pybuffer;
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} __Pyx_Buffer;
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typedef struct {
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__Pyx_Buffer *rcbuffer;
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char *data;
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__Pyx_Buf_DimInfo diminfo[8];
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} __Pyx_LocalBuf_ND;
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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
|
|
|
|
|
|
static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0};
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static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1};
|
|
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|
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level); /*proto*/
|
|
|
|
static CYTHON_INLINE PyObject *__Pyx_PyInt_to_py_Py_intptr_t(Py_intptr_t);
|
|
|
|
#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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|
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|
#define __Pyx_CREAL(z) (__real__(z))
|
|
#define __Pyx_CIMAG(z) (__imag__(z))
|
|
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|
|
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|
|
#define __Pyx_CREAL(z) ((z).real)
|
|
#define __Pyx_CIMAG(z) ((z).imag)
|
|
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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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|
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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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|
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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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|
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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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|
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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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#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))
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#define __Pyx_c_pow(a, b) (cpow(a, b))
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#endif
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#else
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static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex);
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static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex);
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static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex);
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static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex);
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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
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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);
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#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);
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#if !defined(__Pyx_PyIdentifier_FromString)
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#if PY_MAJOR_VERSION < 3
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#define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
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#else
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#define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s)
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#endif
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#endif
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static PyObject *__Pyx_ImportModule(const char *name); /*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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typedef struct {
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int code_line;
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PyCodeObject* code_object;
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} __Pyx_CodeObjectCacheEntry;
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struct __Pyx_CodeObjectCache {
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int count;
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int max_count;
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__Pyx_CodeObjectCacheEntry* entries;
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};
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static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
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static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
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static PyCodeObject *__pyx_find_code_object(int code_line);
|
|
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
|
|
|
|
static void __Pyx_AddTraceback(const char *funcname, int c_line,
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|
int py_line, const char *filename); /*proto*/
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|
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); /*proto*/
|
|
|
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|
/* Module declarations from 'cpython.buffer' */
|
|
|
|
/* Module declarations from 'cpython.ref' */
|
|
|
|
/* Module declarations from 'libc.stdio' */
|
|
|
|
/* Module declarations from 'cpython.object' */
|
|
|
|
/* Module declarations from '__builtin__' */
|
|
|
|
/* Module declarations from 'cpython.type' */
|
|
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
|
|
|
|
/* Module declarations from 'libc.stdlib' */
|
|
|
|
/* Module declarations from 'numpy' */
|
|
|
|
/* Module declarations from 'numpy' */
|
|
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
|
|
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
|
|
|
|
/* Module declarations from 'sklearn.svm.libsvm' */
|
|
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t = { "float64_t", NULL, sizeof(__pyx_t_5numpy_float64_t), { 0 }, 0, 'R', 0, 0 };
|
|
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5numpy_int32_t = { "int32_t", NULL, sizeof(__pyx_t_5numpy_int32_t), { 0 }, 0, IS_UNSIGNED(__pyx_t_5numpy_int32_t) ? 'U' : 'I', IS_UNSIGNED(__pyx_t_5numpy_int32_t), 0 };
|
|
#define __Pyx_MODULE_NAME "sklearn.svm.libsvm"
|
|
int __pyx_module_is_main_sklearn__svm__libsvm = 0;
|
|
|
|
/* Implementation of 'sklearn.svm.libsvm' */
|
|
static PyObject *__pyx_builtin_MemoryError;
|
|
static PyObject *__pyx_builtin_ValueError;
|
|
static PyObject *__pyx_builtin_range;
|
|
static PyObject *__pyx_builtin_RuntimeError;
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_fit(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_Y, int __pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter); /* proto */
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_2predict(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_support, PyArrayObject *__pyx_v_SV, PyArrayObject *__pyx_v_nSV, PyArrayObject *__pyx_v_sv_coef, PyArrayObject *__pyx_v_intercept, PyArrayObject *__pyx_v_label, PyArrayObject *__pyx_v_probA, PyArrayObject *__pyx_v_probB, int __pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, CYTHON_UNUSED PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter); /* proto */
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_4predict_proba(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_support, PyArrayObject *__pyx_v_SV, PyArrayObject *__pyx_v_nSV, PyArrayObject *__pyx_v_sv_coef, PyArrayObject *__pyx_v_intercept, PyArrayObject *__pyx_v_label, PyArrayObject *__pyx_v_probA, PyArrayObject *__pyx_v_probB, int __pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, CYTHON_UNUSED PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter); /* proto */
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_6decision_function(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_support, PyArrayObject *__pyx_v_SV, PyArrayObject *__pyx_v_nSV, PyArrayObject *__pyx_v_sv_coef, PyArrayObject *__pyx_v_intercept, PyArrayObject *__pyx_v_label, PyArrayObject *__pyx_v_probA, PyArrayObject *__pyx_v_probB, int __pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, CYTHON_UNUSED PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter); /* proto */
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_8cross_validation(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_Y, int __pyx_v_n_fold, PyObject *__pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, CYTHON_UNUSED double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter); /* proto */
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_10set_verbosity_wrap(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_verbosity); /* proto */
|
|
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
|
|
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
|
|
static char __pyx_k_4[] = "sample_weight and X have incompatible shapes: ";
|
|
static char __pyx_k_5[] = "sample_weight has %s samples while X has %s";
|
|
static char __pyx_k_6[] = "Seems we've run out of of memory";
|
|
static char __pyx_k_8[] = "p < 0";
|
|
static char __pyx_k_9[] = "epsilon < 0";
|
|
static char __pyx_k_22[] = "We've run out of of memory";
|
|
static char __pyx_k_39[] = "Number of samples is less than number of folds";
|
|
static char __pyx_k_42[] = "ndarray is not C contiguous";
|
|
static char __pyx_k_44[] = "ndarray is not Fortran contiguous";
|
|
static char __pyx_k_46[] = "Non-native byte order not supported";
|
|
static char __pyx_k_48[] = "unknown dtype code in numpy.pxd (%d)";
|
|
static char __pyx_k_49[] = "Format string allocated too short, see comment in numpy.pxd";
|
|
static char __pyx_k_52[] = "Format string allocated too short.";
|
|
static char __pyx_k_54[] = "\nBinding for libsvm_skl\n----------------------\n\nThese are the bindings for libsvm_skl, which is a fork o libsvm[1]\nthat adds to libsvm some capabilities, like index of support vectors\nand efficient representation of dense matrices.\n\nThese are low-level routines, but can be used for flexibility or\nperformance reasons. See sklearn.svm for a higher-level API.\n\nLow-level memory management is done in libsvm_helper.c. If we happen\nto run out of memory a MemoryError will be raised. In practice this is\nnot very helpful since hight changes are malloc fails inside svm.cpp,\nwhere no sort of memory checks are done.\n\n[1] http://www.csie.ntu.edu.tw/~cjlin/libsvm/\n\nNotes\n-----\nMaybe we could speed it a bit further by decorating functions with\n@cython.boundscheck(False), but probably it is not worth since all\nwork is done in lisvm_helper.c\nAlso, the signature mode='c' is somewhat superficial, since we already\ncheck that arrays are C-contiguous in svm.py\n\nAuthors\n-------\n2010: Fabian Pedregosa <fabian.pedregosa@inria.fr>\n Gael Varoquaux <gael.varoquaux@normalesup.org>\n";
|
|
static char __pyx_k_60[] = "/home/bergstra/V/eccv12/src/sklearn/sklearn/svm/libsvm.pyx";
|
|
static char __pyx_k_61[] = "sklearn.svm.libsvm";
|
|
static char __pyx_k__B[] = "B";
|
|
static char __pyx_k__C[] = "C";
|
|
static char __pyx_k__H[] = "H";
|
|
static char __pyx_k__I[] = "I";
|
|
static char __pyx_k__L[] = "L";
|
|
static char __pyx_k__O[] = "O";
|
|
static char __pyx_k__Q[] = "Q";
|
|
static char __pyx_k__X[] = "X";
|
|
static char __pyx_k__Y[] = "Y";
|
|
static char __pyx_k__b[] = "b";
|
|
static char __pyx_k__d[] = "d";
|
|
static char __pyx_k__f[] = "f";
|
|
static char __pyx_k__g[] = "g";
|
|
static char __pyx_k__h[] = "h";
|
|
static char __pyx_k__i[] = "i";
|
|
static char __pyx_k__l[] = "l";
|
|
static char __pyx_k__q[] = "q";
|
|
static char __pyx_k__SV[] = "SV";
|
|
static char __pyx_k__Zd[] = "Zd";
|
|
static char __pyx_k__Zf[] = "Zf";
|
|
static char __pyx_k__Zg[] = "Zg";
|
|
static char __pyx_k__np[] = "np";
|
|
static char __pyx_k__nr[] = "nr";
|
|
static char __pyx_k__nu[] = "nu";
|
|
static char __pyx_k__fit[] = "fit";
|
|
static char __pyx_k__nSV[] = "nSV";
|
|
static char __pyx_k__rbf[] = "rbf";
|
|
static char __pyx_k__tol[] = "tol";
|
|
static char __pyx_k__ones[] = "ones";
|
|
static char __pyx_k__poly[] = "poly";
|
|
static char __pyx_k__coef0[] = "coef0";
|
|
static char __pyx_k__dtype[] = "dtype";
|
|
static char __pyx_k__empty[] = "empty";
|
|
static char __pyx_k__gamma[] = "gamma";
|
|
static char __pyx_k__index[] = "index";
|
|
static char __pyx_k__int32[] = "int32";
|
|
static char __pyx_k__label[] = "label";
|
|
static char __pyx_k__model[] = "model";
|
|
static char __pyx_k__numpy[] = "numpy";
|
|
static char __pyx_k__param[] = "param";
|
|
static char __pyx_k__probA[] = "probA";
|
|
static char __pyx_k__probB[] = "probB";
|
|
static char __pyx_k__range[] = "range";
|
|
static char __pyx_k__SV_len[] = "SV_len";
|
|
static char __pyx_k__degree[] = "degree";
|
|
static char __pyx_k__kernel[] = "kernel";
|
|
static char __pyx_k__linear[] = "linear";
|
|
static char __pyx_k__n_fold[] = "n_fold";
|
|
static char __pyx_k__target[] = "target";
|
|
static char __pyx_k__epsilon[] = "epsilon";
|
|
static char __pyx_k__float64[] = "float64";
|
|
static char __pyx_k__n_class[] = "n_class";
|
|
static char __pyx_k__predict[] = "predict";
|
|
static char __pyx_k__problem[] = "problem";
|
|
static char __pyx_k__replace[] = "replace";
|
|
static char __pyx_k__sigmoid[] = "sigmoid";
|
|
static char __pyx_k__support[] = "support";
|
|
static char __pyx_k__sv_coef[] = "sv_coef";
|
|
static char __pyx_k____main__[] = "__main__";
|
|
static char __pyx_k____test__[] = "__test__";
|
|
static char __pyx_k__max_iter[] = "max_iter";
|
|
static char __pyx_k__svm_type[] = "svm_type";
|
|
static char __pyx_k__warnings[] = "warnings";
|
|
static char __pyx_k__error_msg[] = "error_msg";
|
|
static char __pyx_k__intercept[] = "intercept";
|
|
static char __pyx_k__shrinking[] = "shrinking";
|
|
static char __pyx_k__verbosity[] = "verbosity";
|
|
static char __pyx_k__ValueError[] = "ValueError";
|
|
static char __pyx_k__cache_size[] = "cache_size";
|
|
static char __pyx_k__dec_values[] = "dec_values";
|
|
static char __pyx_k__error_repl[] = "error_repl";
|
|
static char __pyx_k__fit_status[] = "fit_status";
|
|
static char __pyx_k__n_class_SV[] = "n_class_SV";
|
|
static char __pyx_k__MemoryError[] = "MemoryError";
|
|
static char __pyx_k__precomputed[] = "precomputed";
|
|
static char __pyx_k__probability[] = "probability";
|
|
static char __pyx_k__RuntimeError[] = "RuntimeError";
|
|
static char __pyx_k__class_weight[] = "class_weight";
|
|
static char __pyx_k__kernel_index[] = "kernel_index";
|
|
static char __pyx_k__predict_proba[] = "predict_proba";
|
|
static char __pyx_k__sample_weight[] = "sample_weight";
|
|
static char __pyx_k__support_vectors[] = "support_vectors";
|
|
static char __pyx_k__cross_validation[] = "cross_validation";
|
|
static char __pyx_k__decision_function[] = "decision_function";
|
|
static char __pyx_k__class_weight_label[] = "class_weight_label";
|
|
static char __pyx_k__set_verbosity_wrap[] = "set_verbosity_wrap";
|
|
static char __pyx_k__LIBSVM_KERNEL_TYPES[] = "LIBSVM_KERNEL_TYPES";
|
|
static PyObject *__pyx_kp_s_22;
|
|
static PyObject *__pyx_kp_s_39;
|
|
static PyObject *__pyx_kp_s_4;
|
|
static PyObject *__pyx_kp_u_42;
|
|
static PyObject *__pyx_kp_u_44;
|
|
static PyObject *__pyx_kp_u_46;
|
|
static PyObject *__pyx_kp_u_48;
|
|
static PyObject *__pyx_kp_u_49;
|
|
static PyObject *__pyx_kp_s_5;
|
|
static PyObject *__pyx_kp_u_52;
|
|
static PyObject *__pyx_kp_s_6;
|
|
static PyObject *__pyx_kp_s_60;
|
|
static PyObject *__pyx_n_s_61;
|
|
static PyObject *__pyx_kp_s_8;
|
|
static PyObject *__pyx_kp_s_9;
|
|
static PyObject *__pyx_n_s__C;
|
|
static PyObject *__pyx_n_s__LIBSVM_KERNEL_TYPES;
|
|
static PyObject *__pyx_n_s__MemoryError;
|
|
static PyObject *__pyx_n_s__RuntimeError;
|
|
static PyObject *__pyx_n_s__SV;
|
|
static PyObject *__pyx_n_s__SV_len;
|
|
static PyObject *__pyx_n_s__ValueError;
|
|
static PyObject *__pyx_n_s__X;
|
|
static PyObject *__pyx_n_s__Y;
|
|
static PyObject *__pyx_n_s____main__;
|
|
static PyObject *__pyx_n_s____test__;
|
|
static PyObject *__pyx_n_s__cache_size;
|
|
static PyObject *__pyx_n_s__class_weight;
|
|
static PyObject *__pyx_n_s__class_weight_label;
|
|
static PyObject *__pyx_n_s__coef0;
|
|
static PyObject *__pyx_n_s__cross_validation;
|
|
static PyObject *__pyx_n_s__dec_values;
|
|
static PyObject *__pyx_n_s__decision_function;
|
|
static PyObject *__pyx_n_s__degree;
|
|
static PyObject *__pyx_n_s__dtype;
|
|
static PyObject *__pyx_n_s__empty;
|
|
static PyObject *__pyx_n_s__epsilon;
|
|
static PyObject *__pyx_n_s__error_msg;
|
|
static PyObject *__pyx_n_s__error_repl;
|
|
static PyObject *__pyx_n_s__fit;
|
|
static PyObject *__pyx_n_s__fit_status;
|
|
static PyObject *__pyx_n_s__float64;
|
|
static PyObject *__pyx_n_s__gamma;
|
|
static PyObject *__pyx_n_s__index;
|
|
static PyObject *__pyx_n_s__int32;
|
|
static PyObject *__pyx_n_s__intercept;
|
|
static PyObject *__pyx_n_s__kernel;
|
|
static PyObject *__pyx_n_s__kernel_index;
|
|
static PyObject *__pyx_n_s__label;
|
|
static PyObject *__pyx_n_s__linear;
|
|
static PyObject *__pyx_n_s__max_iter;
|
|
static PyObject *__pyx_n_s__model;
|
|
static PyObject *__pyx_n_s__nSV;
|
|
static PyObject *__pyx_n_s__n_class;
|
|
static PyObject *__pyx_n_s__n_class_SV;
|
|
static PyObject *__pyx_n_s__n_fold;
|
|
static PyObject *__pyx_n_s__np;
|
|
static PyObject *__pyx_n_s__nr;
|
|
static PyObject *__pyx_n_s__nu;
|
|
static PyObject *__pyx_n_s__numpy;
|
|
static PyObject *__pyx_n_s__ones;
|
|
static PyObject *__pyx_n_s__param;
|
|
static PyObject *__pyx_n_s__poly;
|
|
static PyObject *__pyx_n_s__precomputed;
|
|
static PyObject *__pyx_n_s__predict;
|
|
static PyObject *__pyx_n_s__predict_proba;
|
|
static PyObject *__pyx_n_s__probA;
|
|
static PyObject *__pyx_n_s__probB;
|
|
static PyObject *__pyx_n_s__probability;
|
|
static PyObject *__pyx_n_s__problem;
|
|
static PyObject *__pyx_n_s__range;
|
|
static PyObject *__pyx_n_s__rbf;
|
|
static PyObject *__pyx_n_s__replace;
|
|
static PyObject *__pyx_n_s__sample_weight;
|
|
static PyObject *__pyx_n_s__set_verbosity_wrap;
|
|
static PyObject *__pyx_n_s__shrinking;
|
|
static PyObject *__pyx_n_s__sigmoid;
|
|
static PyObject *__pyx_n_s__support;
|
|
static PyObject *__pyx_n_s__support_vectors;
|
|
static PyObject *__pyx_n_s__sv_coef;
|
|
static PyObject *__pyx_n_s__svm_type;
|
|
static PyObject *__pyx_n_s__target;
|
|
static PyObject *__pyx_n_s__tol;
|
|
static PyObject *__pyx_n_s__verbosity;
|
|
static PyObject *__pyx_n_s__warnings;
|
|
static PyObject *__pyx_int_0;
|
|
static PyObject *__pyx_int_1;
|
|
static PyObject *__pyx_int_2;
|
|
static PyObject *__pyx_int_4;
|
|
static PyObject *__pyx_int_15;
|
|
static PyArrayObject *__pyx_k_1;
|
|
static PyArrayObject *__pyx_k_2;
|
|
static PyArrayObject *__pyx_k_3;
|
|
static PyArrayObject *__pyx_k_17;
|
|
static PyArrayObject *__pyx_k_18;
|
|
static PyArrayObject *__pyx_k_19;
|
|
static PyArrayObject *__pyx_k_20;
|
|
static PyArrayObject *__pyx_k_21;
|
|
static PyArrayObject *__pyx_k_24;
|
|
static PyArrayObject *__pyx_k_25;
|
|
static PyArrayObject *__pyx_k_26;
|
|
static PyArrayObject *__pyx_k_27;
|
|
static PyArrayObject *__pyx_k_28;
|
|
static PyArrayObject *__pyx_k_30;
|
|
static PyArrayObject *__pyx_k_31;
|
|
static PyArrayObject *__pyx_k_32;
|
|
static PyArrayObject *__pyx_k_33;
|
|
static PyArrayObject *__pyx_k_34;
|
|
static PyArrayObject *__pyx_k_36;
|
|
static PyArrayObject *__pyx_k_37;
|
|
static PyArrayObject *__pyx_k_38;
|
|
static PyObject *__pyx_k_tuple_7;
|
|
static PyObject *__pyx_k_tuple_10;
|
|
static PyObject *__pyx_k_tuple_11;
|
|
static PyObject *__pyx_k_tuple_12;
|
|
static PyObject *__pyx_k_tuple_13;
|
|
static PyObject *__pyx_k_tuple_14;
|
|
static PyObject *__pyx_k_tuple_15;
|
|
static PyObject *__pyx_k_tuple_16;
|
|
static PyObject *__pyx_k_tuple_23;
|
|
static PyObject *__pyx_k_tuple_29;
|
|
static PyObject *__pyx_k_tuple_35;
|
|
static PyObject *__pyx_k_tuple_40;
|
|
static PyObject *__pyx_k_tuple_41;
|
|
static PyObject *__pyx_k_tuple_43;
|
|
static PyObject *__pyx_k_tuple_45;
|
|
static PyObject *__pyx_k_tuple_47;
|
|
static PyObject *__pyx_k_tuple_50;
|
|
static PyObject *__pyx_k_tuple_51;
|
|
static PyObject *__pyx_k_tuple_53;
|
|
static PyObject *__pyx_k_tuple_55;
|
|
static PyObject *__pyx_k_tuple_56;
|
|
static PyObject *__pyx_k_tuple_57;
|
|
static PyObject *__pyx_k_tuple_58;
|
|
static PyObject *__pyx_k_tuple_62;
|
|
static PyObject *__pyx_k_tuple_63;
|
|
static PyObject *__pyx_k_tuple_64;
|
|
static PyObject *__pyx_k_tuple_65;
|
|
static PyObject *__pyx_k_tuple_66;
|
|
static PyObject *__pyx_k_tuple_67;
|
|
static PyObject *__pyx_k_tuple_69;
|
|
static PyObject *__pyx_k_tuple_70;
|
|
static PyObject *__pyx_k_tuple_71;
|
|
static PyObject *__pyx_k_tuple_72;
|
|
static PyObject *__pyx_k_tuple_73;
|
|
static PyObject *__pyx_k_tuple_74;
|
|
static PyObject *__pyx_k_tuple_76;
|
|
static PyObject *__pyx_k_tuple_77;
|
|
static PyObject *__pyx_k_tuple_78;
|
|
static PyObject *__pyx_k_tuple_79;
|
|
static PyObject *__pyx_k_tuple_80;
|
|
static PyObject *__pyx_k_tuple_81;
|
|
static PyObject *__pyx_k_tuple_83;
|
|
static PyObject *__pyx_k_tuple_84;
|
|
static PyObject *__pyx_k_tuple_85;
|
|
static PyObject *__pyx_k_tuple_86;
|
|
static PyObject *__pyx_k_tuple_88;
|
|
static PyObject *__pyx_k_codeobj_59;
|
|
static PyObject *__pyx_k_codeobj_68;
|
|
static PyObject *__pyx_k_codeobj_75;
|
|
static PyObject *__pyx_k_codeobj_82;
|
|
static PyObject *__pyx_k_codeobj_87;
|
|
static PyObject *__pyx_k_codeobj_89;
|
|
|
|
/* Python wrapper */
|
|
static PyObject *__pyx_pw_7sklearn_3svm_6libsvm_1fit(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
|
|
static char __pyx_doc_7sklearn_3svm_6libsvm_fit[] = "\n Train the model using libsvm (low-level method)\n\n Parameters\n ----------\n X: array-like, dtype=float64, size=[n_samples, n_features]\n\n Y: array, dtype=float64, size=[n_samples]\n target vector\n\n svm_type : {0, 1, 2, 3, 4}\n Type of SVM: C_SVC, NuSVC, OneClassSVM, EpsilonSVR or NuSVR\n respectevely.\n\n kernel : {'linear', 'rbf', 'poly', 'sigmoid', 'precomputed'}\n Kernel to use in the model: linear, polynomial, RBF, sigmoid\n or precomputed.\n\n degree : int32\n Degree of the polynomial kernel (only relevant if kernel is\n set to polynomial)\n\n gamma : float64\n Gamma parameter in RBF kernel (only relevant if kernel is set\n to RBF)\n\n coef0 : float64\n Independent parameter in poly/sigmoid kernel.\n\n tol : float64\n Numeric stopping criterion (WRITEME).\n\n C : float64\n C parameter in C-Support Vector Classification\n\n nu : float64\n\n cache_size : float64\n Cache size for gram matrix columns (in megabytes)\n\n max_iter: int (-1 for no limit)\n Stop solver after this many iterations regardless of accuracy\n (XXX Currently there is no API to know whether this kicked in.)\n\n\n Returns\n -------\n support : array, shape=[n_support]\n index of support vectors\n\n support_vectors : array, shape=[n_support, n_features]\n support vectors (equivalent to X[support]). Will return an\n empty array in the case of precomputed kernel.\n\n n_class_SV : array\n number of support vectors in each class.\n\n sv_coef : array\n coefficients of support vectors in decision function.\n\n intercept : array\n intercept in decision function\n\n label : labels for different classes (only relevant in classification).\n\n probA, probB : array\n probability estimates, empty array for probability=False\n ";
|
|
static PyMethodDef __pyx_mdef_7sklearn_3svm_6libsvm_1fit = {__Pyx_NAMESTR("fit"), (PyCFunction)__pyx_pw_7sklearn_3svm_6libsvm_1fit, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_3svm_6libsvm_fit)};
|
|
static PyObject *__pyx_pw_7sklearn_3svm_6libsvm_1fit(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
|
|
PyArrayObject *__pyx_v_X = 0;
|
|
PyArrayObject *__pyx_v_Y = 0;
|
|
int __pyx_v_svm_type;
|
|
PyObject *__pyx_v_kernel = 0;
|
|
int __pyx_v_degree;
|
|
double __pyx_v_gamma;
|
|
double __pyx_v_coef0;
|
|
double __pyx_v_tol;
|
|
double __pyx_v_C;
|
|
double __pyx_v_nu;
|
|
double __pyx_v_epsilon;
|
|
PyArrayObject *__pyx_v_class_weight_label = 0;
|
|
PyArrayObject *__pyx_v_class_weight = 0;
|
|
PyArrayObject *__pyx_v_sample_weight = 0;
|
|
int __pyx_v_shrinking;
|
|
int __pyx_v_probability;
|
|
double __pyx_v_cache_size;
|
|
int __pyx_v_max_iter;
|
|
PyObject *__pyx_r = 0;
|
|
__Pyx_RefNannyDeclarations
|
|
__Pyx_RefNannySetupContext("fit (wrapper)", 0);
|
|
{
|
|
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__X,&__pyx_n_s__Y,&__pyx_n_s__svm_type,&__pyx_n_s__kernel,&__pyx_n_s__degree,&__pyx_n_s__gamma,&__pyx_n_s__coef0,&__pyx_n_s__tol,&__pyx_n_s__C,&__pyx_n_s__nu,&__pyx_n_s__epsilon,&__pyx_n_s__class_weight_label,&__pyx_n_s__class_weight,&__pyx_n_s__sample_weight,&__pyx_n_s__shrinking,&__pyx_n_s__probability,&__pyx_n_s__cache_size,&__pyx_n_s__max_iter,0};
|
|
PyObject* values[18] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
|
|
values[3] = ((PyObject*)__pyx_n_s__rbf);
|
|
values[11] = (PyObject *)__pyx_k_1;
|
|
values[12] = (PyObject *)__pyx_k_2;
|
|
values[13] = (PyObject *)__pyx_k_3;
|
|
if (unlikely(__pyx_kwds)) {
|
|
Py_ssize_t kw_args;
|
|
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
|
|
switch (pos_args) {
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
case 0: break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
kw_args = PyDict_Size(__pyx_kwds);
|
|
switch (pos_args) {
|
|
case 0:
|
|
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X)) != 0)) kw_args--;
|
|
else goto __pyx_L5_argtuple_error;
|
|
case 1:
|
|
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__Y)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("fit", 0, 2, 18, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 2:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__svm_type);
|
|
if (value) { values[2] = value; kw_args--; }
|
|
}
|
|
case 3:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__kernel);
|
|
if (value) { values[3] = value; kw_args--; }
|
|
}
|
|
case 4:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__degree);
|
|
if (value) { values[4] = value; kw_args--; }
|
|
}
|
|
case 5:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__gamma);
|
|
if (value) { values[5] = value; kw_args--; }
|
|
}
|
|
case 6:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__coef0);
|
|
if (value) { values[6] = value; kw_args--; }
|
|
}
|
|
case 7:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol);
|
|
if (value) { values[7] = value; kw_args--; }
|
|
}
|
|
case 8:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__C);
|
|
if (value) { values[8] = value; kw_args--; }
|
|
}
|
|
case 9:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nu);
|
|
if (value) { values[9] = value; kw_args--; }
|
|
}
|
|
case 10:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__epsilon);
|
|
if (value) { values[10] = value; kw_args--; }
|
|
}
|
|
case 11:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight_label);
|
|
if (value) { values[11] = value; kw_args--; }
|
|
}
|
|
case 12:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight);
|
|
if (value) { values[12] = value; kw_args--; }
|
|
}
|
|
case 13:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sample_weight);
|
|
if (value) { values[13] = value; kw_args--; }
|
|
}
|
|
case 14:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shrinking);
|
|
if (value) { values[14] = value; kw_args--; }
|
|
}
|
|
case 15:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probability);
|
|
if (value) { values[15] = value; kw_args--; }
|
|
}
|
|
case 16:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__cache_size);
|
|
if (value) { values[16] = value; kw_args--; }
|
|
}
|
|
case 17:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter);
|
|
if (value) { values[17] = value; kw_args--; }
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "fit") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
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case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
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case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
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case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
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case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
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values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
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* np.ndarray[np.float64_t, ndim=1, mode='c'] Y,
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/* "sklearn/svm/libsvm.pyx":53
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* int svm_type=0, str kernel='rbf', int degree=3,
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* double gamma=0.1, double coef0=0., double tol=1e-3,
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* double C=1., double nu=0.5, double epsilon=0.1, # <<<<<<<<<<<<<<
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* np.ndarray[np.int32_t, ndim=1, mode='c']
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|
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static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_fit(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_Y, int __pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter) {
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struct svm_parameter __pyx_v_param;
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struct svm_problem __pyx_v_problem;
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struct svm_model *__pyx_v_model;
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char *__pyx_v_error_msg;
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int __pyx_v_fit_status;
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/* "sklearn/svm/libsvm.pyx":143
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|
* sample_weight = np.ones(X.shape[0], dtype=np.float64)
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* else:
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/* "sklearn/svm/libsvm.pyx":146
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* "sample_weight and X have incompatible shapes: " + \
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{__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
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|
|
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|
|
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|
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|
|
|
|
/* "sklearn/svm/libsvm.pyx":149
|
|
*
|
|
* # set problem
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|
* kernel_index = LIBSVM_KERNEL_TYPES.index(kernel) # <<<<<<<<<<<<<<
|
|
* set_problem(
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|
* &problem, X.data, Y.data, sample_weight.data, X.shape, kernel_index)
|
|
*/
|
|
__pyx_t_5 = __Pyx_GetName(__pyx_m, __pyx_n_s__LIBSVM_KERNEL_TYPES); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_GOTREF(__pyx_t_3);
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|
__Pyx_GOTREF(__pyx_t_5);
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|
__Pyx_INCREF(((PyObject *)__pyx_v_kernel));
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PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_kernel));
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|
__Pyx_GIVEREF(((PyObject *)__pyx_v_kernel));
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|
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__Pyx_GOTREF(__pyx_t_7);
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__pyx_t_7 = 0;
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|
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/* "sklearn/svm/libsvm.pyx":151
|
|
* kernel_index = LIBSVM_KERNEL_TYPES.index(kernel)
|
|
* set_problem(
|
|
* &problem, X.data, Y.data, sample_weight.data, X.shape, kernel_index) # <<<<<<<<<<<<<<
|
|
* if problem.x == NULL:
|
|
* raise MemoryError("Seems we've run out of of memory")
|
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*/
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|
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|
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set_problem((&__pyx_v_problem), __pyx_v_X->data, __pyx_v_Y->data, __pyx_v_sample_weight->data, __pyx_v_X->dimensions, __pyx_t_9);
|
|
|
|
/* "sklearn/svm/libsvm.pyx":152
|
|
* set_problem(
|
|
* &problem, X.data, Y.data, sample_weight.data, X.shape, kernel_index)
|
|
* if problem.x == NULL: # <<<<<<<<<<<<<<
|
|
* raise MemoryError("Seems we've run out of of memory")
|
|
*
|
|
*/
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__pyx_t_2 = (__pyx_v_problem.x == NULL);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":153
|
|
* &problem, X.data, Y.data, sample_weight.data, X.shape, kernel_index)
|
|
* if problem.x == NULL:
|
|
* raise MemoryError("Seems we've run out of of memory") # <<<<<<<<<<<<<<
|
|
*
|
|
* # set parameters
|
|
*/
|
|
__pyx_t_7 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_7), NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_7);
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__Pyx_Raise(__pyx_t_7, 0, 0, 0);
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|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
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{__pyx_filename = __pyx_f[0]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L4;
|
|
}
|
|
__pyx_L4:;
|
|
|
|
/* "sklearn/svm/libsvm.pyx":157
|
|
* # set parameters
|
|
* set_parameter(
|
|
* ¶m, svm_type, kernel_index, degree, gamma, coef0, nu, cache_size, # <<<<<<<<<<<<<<
|
|
* C, tol, epsilon, shrinking, probability, <int> class_weight.shape[0],
|
|
* class_weight_label.data, class_weight.data, max_iter)
|
|
*/
|
|
__pyx_t_9 = __Pyx_PyInt_AsInt(__pyx_v_kernel_index); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 157; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/svm/libsvm.pyx":159
|
|
* ¶m, svm_type, kernel_index, degree, gamma, coef0, nu, cache_size,
|
|
* C, tol, epsilon, shrinking, probability, <int> class_weight.shape[0],
|
|
* class_weight_label.data, class_weight.data, max_iter) # <<<<<<<<<<<<<<
|
|
*
|
|
* # check parameters
|
|
*/
|
|
set_parameter((&__pyx_v_param), __pyx_v_svm_type, __pyx_t_9, __pyx_v_degree, __pyx_v_gamma, __pyx_v_coef0, __pyx_v_nu, __pyx_v_cache_size, __pyx_v_C, __pyx_v_tol, __pyx_v_epsilon, __pyx_v_shrinking, __pyx_v_probability, ((int)(__pyx_v_class_weight->dimensions[0])), __pyx_v_class_weight_label->data, __pyx_v_class_weight->data, __pyx_v_max_iter);
|
|
|
|
/* "sklearn/svm/libsvm.pyx":162
|
|
*
|
|
* # check parameters
|
|
* error_msg = svm_check_parameter(&problem, ¶m) # <<<<<<<<<<<<<<
|
|
* if error_msg:
|
|
* # for SVR: epsilon is called p in libsvm
|
|
*/
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|
__pyx_v_error_msg = svm_check_parameter((&__pyx_v_problem), (&__pyx_v_param));
|
|
|
|
/* "sklearn/svm/libsvm.pyx":163
|
|
* # check parameters
|
|
* error_msg = svm_check_parameter(&problem, ¶m)
|
|
* if error_msg: # <<<<<<<<<<<<<<
|
|
* # for SVR: epsilon is called p in libsvm
|
|
* error_repl = error_msg.replace("p < 0", "epsilon < 0")
|
|
*/
|
|
__pyx_t_2 = (__pyx_v_error_msg != 0);
|
|
if (__pyx_t_2) {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":165
|
|
* if error_msg:
|
|
* # for SVR: epsilon is called p in libsvm
|
|
* error_repl = error_msg.replace("p < 0", "epsilon < 0") # <<<<<<<<<<<<<<
|
|
* raise ValueError(error_repl)
|
|
*
|
|
*/
|
|
__pyx_t_7 = PyBytes_FromString(__pyx_v_error_msg); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(((PyObject *)__pyx_t_7));
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__pyx_t_5 = PyObject_GetAttr(((PyObject *)__pyx_t_7), __pyx_n_s__replace); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L8;
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/* "sklearn/svm/libsvm.pyx":223
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* probA = np.empty(1, dtype=np.float64)
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* probB = np.empty(0, dtype=np.float64)
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* copy_probA(probA.data, model, probA.shape) # <<<<<<<<<<<<<<
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* else:
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*/
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copy_probA(__pyx_v_probA->data, __pyx_v_model, __pyx_v_probA->dimensions);
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goto __pyx_L7;
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/* "sklearn/svm/libsvm.pyx":225
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* copy_probA(probA.data, model, probA.shape)
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* else:
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* probB = np.empty(0, dtype=np.float64)
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*
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*/
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|
|
kw_args = PyDict_Size(__pyx_kwds);
|
|
switch (pos_args) {
|
|
case 0:
|
|
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X)) != 0)) kw_args--;
|
|
else goto __pyx_L5_argtuple_error;
|
|
case 1:
|
|
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__support)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 2:
|
|
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__SV)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 3:
|
|
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nSV)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 4:
|
|
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sv_coef)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 5:
|
|
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__intercept)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 6:
|
|
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__label)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 7:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probA);
|
|
if (value) { values[7] = value; kw_args--; }
|
|
}
|
|
case 8:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probB);
|
|
if (value) { values[8] = value; kw_args--; }
|
|
}
|
|
case 9:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__svm_type);
|
|
if (value) { values[9] = value; kw_args--; }
|
|
}
|
|
case 10:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__kernel);
|
|
if (value) { values[10] = value; kw_args--; }
|
|
}
|
|
case 11:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__degree);
|
|
if (value) { values[11] = value; kw_args--; }
|
|
}
|
|
case 12:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__gamma);
|
|
if (value) { values[12] = value; kw_args--; }
|
|
}
|
|
case 13:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__coef0);
|
|
if (value) { values[13] = value; kw_args--; }
|
|
}
|
|
case 14:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol);
|
|
if (value) { values[14] = value; kw_args--; }
|
|
}
|
|
case 15:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__C);
|
|
if (value) { values[15] = value; kw_args--; }
|
|
}
|
|
case 16:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nu);
|
|
if (value) { values[16] = value; kw_args--; }
|
|
}
|
|
case 17:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__epsilon);
|
|
if (value) { values[17] = value; kw_args--; }
|
|
}
|
|
case 18:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight_label);
|
|
if (value) { values[18] = value; kw_args--; }
|
|
}
|
|
case 19:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight);
|
|
if (value) { values[19] = value; kw_args--; }
|
|
}
|
|
case 20:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sample_weight);
|
|
if (value) { values[20] = value; kw_args--; }
|
|
}
|
|
case 21:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shrinking);
|
|
if (value) { values[21] = value; kw_args--; }
|
|
}
|
|
case 22:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probability);
|
|
if (value) { values[22] = value; kw_args--; }
|
|
}
|
|
case 23:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__cache_size);
|
|
if (value) { values[23] = value; kw_args--; }
|
|
}
|
|
case 24:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter);
|
|
if (value) { values[24] = value; kw_args--; }
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "predict") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24);
|
|
case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23);
|
|
case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22);
|
|
case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21);
|
|
case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20);
|
|
case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19);
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
}
|
|
__pyx_v_X = ((PyArrayObject *)values[0]);
|
|
__pyx_v_support = ((PyArrayObject *)values[1]);
|
|
__pyx_v_SV = ((PyArrayObject *)values[2]);
|
|
__pyx_v_nSV = ((PyArrayObject *)values[3]);
|
|
__pyx_v_sv_coef = ((PyArrayObject *)values[4]);
|
|
__pyx_v_intercept = ((PyArrayObject *)values[5]);
|
|
__pyx_v_label = ((PyArrayObject *)values[6]);
|
|
__pyx_v_probA = ((PyArrayObject *)values[7]);
|
|
__pyx_v_probB = ((PyArrayObject *)values[8]);
|
|
if (values[9]) {
|
|
__pyx_v_svm_type = __Pyx_PyInt_AsInt(values[9]); if (unlikely((__pyx_v_svm_type == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 244; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_svm_type = ((int)0);
|
|
}
|
|
__pyx_v_kernel = ((PyObject*)values[10]);
|
|
if (values[11]) {
|
|
__pyx_v_degree = __Pyx_PyInt_AsInt(values[11]); if (unlikely((__pyx_v_degree == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 244; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_degree = ((int)3);
|
|
}
|
|
if (values[12]) {
|
|
__pyx_v_gamma = __pyx_PyFloat_AsDouble(values[12]); if (unlikely((__pyx_v_gamma == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":245
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probB=np.empty(0),
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3, # <<<<<<<<<<<<<<
|
|
* double C=1., double nu=0.5, double epsilon=0.1,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
*/
|
|
__pyx_v_gamma = ((double)0.1);
|
|
}
|
|
if (values[13]) {
|
|
__pyx_v_coef0 = __pyx_PyFloat_AsDouble(values[13]); if (unlikely((__pyx_v_coef0 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_coef0 = ((double)0.);
|
|
}
|
|
if (values[14]) {
|
|
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[14]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_tol = ((double)1e-3);
|
|
}
|
|
if (values[15]) {
|
|
__pyx_v_C = __pyx_PyFloat_AsDouble(values[15]); if (unlikely((__pyx_v_C == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 246; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":246
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3,
|
|
* double C=1., double nu=0.5, double epsilon=0.1, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
*/
|
|
__pyx_v_C = ((double)1.);
|
|
}
|
|
if (values[16]) {
|
|
__pyx_v_nu = __pyx_PyFloat_AsDouble(values[16]); if (unlikely((__pyx_v_nu == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 246; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_nu = ((double)0.5);
|
|
}
|
|
if (values[17]) {
|
|
__pyx_v_epsilon = __pyx_PyFloat_AsDouble(values[17]); if (unlikely((__pyx_v_epsilon == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 246; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_epsilon = ((double)0.1);
|
|
}
|
|
__pyx_v_class_weight_label = ((PyArrayObject *)values[18]);
|
|
__pyx_v_class_weight = ((PyArrayObject *)values[19]);
|
|
__pyx_v_sample_weight = ((PyArrayObject *)values[20]);
|
|
if (values[21]) {
|
|
__pyx_v_shrinking = __Pyx_PyInt_AsInt(values[21]); if (unlikely((__pyx_v_shrinking == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_shrinking = ((int)0);
|
|
}
|
|
if (values[22]) {
|
|
__pyx_v_probability = __Pyx_PyInt_AsInt(values[22]); if (unlikely((__pyx_v_probability == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_probability = ((int)0);
|
|
}
|
|
if (values[23]) {
|
|
__pyx_v_cache_size = __pyx_PyFloat_AsDouble(values[23]); if (unlikely((__pyx_v_cache_size == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 254; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":254
|
|
* sample_weight=np.empty(0),
|
|
* int shrinking=0, int probability=0,
|
|
* double cache_size=100., # <<<<<<<<<<<<<<
|
|
* int max_iter=-1):
|
|
* """
|
|
*/
|
|
__pyx_v_cache_size = ((double)100.);
|
|
}
|
|
if (values[24]) {
|
|
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[24]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_max_iter = ((int)-1);
|
|
}
|
|
}
|
|
goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
|
|
__Pyx_RaiseArgtupleInvalid("predict", 0, 7, 25, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_L3_error:;
|
|
__Pyx_AddTraceback("sklearn.svm.libsvm.predict", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__Pyx_RefNannyFinishContext();
|
|
return NULL;
|
|
__pyx_L4_argument_unpacking_done:;
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X), __pyx_ptype_5numpy_ndarray, 1, "X", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 235; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_support), __pyx_ptype_5numpy_ndarray, 1, "support", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_SV), __pyx_ptype_5numpy_ndarray, 1, "SV", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 237; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_nSV), __pyx_ptype_5numpy_ndarray, 1, "nSV", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 238; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sv_coef), __pyx_ptype_5numpy_ndarray, 1, "sv_coef", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 239; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_intercept), __pyx_ptype_5numpy_ndarray, 1, "intercept", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 240; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_label), __pyx_ptype_5numpy_ndarray, 1, "label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 241; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_probA), __pyx_ptype_5numpy_ndarray, 1, "probA", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 242; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_probB), __pyx_ptype_5numpy_ndarray, 1, "probB", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 243; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_kernel), (&PyString_Type), 1, "kernel", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 244; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight_label), __pyx_ptype_5numpy_ndarray, 1, "class_weight_label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight), __pyx_ptype_5numpy_ndarray, 1, "class_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 249; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sample_weight), __pyx_ptype_5numpy_ndarray, 1, "sample_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
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*
|
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*
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* def predict(np.ndarray[np.float64_t, ndim=2, mode='c'] X, # <<<<<<<<<<<<<<
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* np.ndarray[np.int32_t, ndim=1, mode='c'] support,
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* np.ndarray[np.float64_t, ndim=2, mode='c'] SV,
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*/
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|
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|
|
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|
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*
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|
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|
|
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|
*
|
|
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* probability, <int> class_weight.shape[0],
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|
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|
|
|
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|
*
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|
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|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict_proba", 0, 7, 25, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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|
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|
|
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|
|
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|
|
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|
|
}
|
|
case 5:
|
|
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__intercept)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict_proba", 0, 7, 25, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 6:
|
|
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__label)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("predict_proba", 0, 7, 25, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 7:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probA);
|
|
if (value) { values[7] = value; kw_args--; }
|
|
}
|
|
case 8:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probB);
|
|
if (value) { values[8] = value; kw_args--; }
|
|
}
|
|
case 9:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__svm_type);
|
|
if (value) { values[9] = value; kw_args--; }
|
|
}
|
|
case 10:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__kernel);
|
|
if (value) { values[10] = value; kw_args--; }
|
|
}
|
|
case 11:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__degree);
|
|
if (value) { values[11] = value; kw_args--; }
|
|
}
|
|
case 12:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__gamma);
|
|
if (value) { values[12] = value; kw_args--; }
|
|
}
|
|
case 13:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__coef0);
|
|
if (value) { values[13] = value; kw_args--; }
|
|
}
|
|
case 14:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol);
|
|
if (value) { values[14] = value; kw_args--; }
|
|
}
|
|
case 15:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__C);
|
|
if (value) { values[15] = value; kw_args--; }
|
|
}
|
|
case 16:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nu);
|
|
if (value) { values[16] = value; kw_args--; }
|
|
}
|
|
case 17:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__epsilon);
|
|
if (value) { values[17] = value; kw_args--; }
|
|
}
|
|
case 18:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight_label);
|
|
if (value) { values[18] = value; kw_args--; }
|
|
}
|
|
case 19:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight);
|
|
if (value) { values[19] = value; kw_args--; }
|
|
}
|
|
case 20:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sample_weight);
|
|
if (value) { values[20] = value; kw_args--; }
|
|
}
|
|
case 21:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shrinking);
|
|
if (value) { values[21] = value; kw_args--; }
|
|
}
|
|
case 22:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probability);
|
|
if (value) { values[22] = value; kw_args--; }
|
|
}
|
|
case 23:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__cache_size);
|
|
if (value) { values[23] = value; kw_args--; }
|
|
}
|
|
case 24:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter);
|
|
if (value) { values[24] = value; kw_args--; }
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "predict_proba") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24);
|
|
case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23);
|
|
case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22);
|
|
case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21);
|
|
case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20);
|
|
case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19);
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
}
|
|
__pyx_v_X = ((PyArrayObject *)values[0]);
|
|
__pyx_v_support = ((PyArrayObject *)values[1]);
|
|
__pyx_v_SV = ((PyArrayObject *)values[2]);
|
|
__pyx_v_nSV = ((PyArrayObject *)values[3]);
|
|
__pyx_v_sv_coef = ((PyArrayObject *)values[4]);
|
|
__pyx_v_intercept = ((PyArrayObject *)values[5]);
|
|
__pyx_v_label = ((PyArrayObject *)values[6]);
|
|
__pyx_v_probA = ((PyArrayObject *)values[7]);
|
|
__pyx_v_probB = ((PyArrayObject *)values[8]);
|
|
if (values[9]) {
|
|
__pyx_v_svm_type = __Pyx_PyInt_AsInt(values[9]); if (unlikely((__pyx_v_svm_type == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 331; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_svm_type = ((int)0);
|
|
}
|
|
__pyx_v_kernel = ((PyObject*)values[10]);
|
|
if (values[11]) {
|
|
__pyx_v_degree = __Pyx_PyInt_AsInt(values[11]); if (unlikely((__pyx_v_degree == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 331; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_degree = ((int)3);
|
|
}
|
|
if (values[12]) {
|
|
__pyx_v_gamma = __pyx_PyFloat_AsDouble(values[12]); if (unlikely((__pyx_v_gamma == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 332; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":332
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probB=np.empty(0),
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3, # <<<<<<<<<<<<<<
|
|
* double C=1., double nu=0.5, double epsilon=0.1,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
*/
|
|
__pyx_v_gamma = ((double)0.1);
|
|
}
|
|
if (values[13]) {
|
|
__pyx_v_coef0 = __pyx_PyFloat_AsDouble(values[13]); if (unlikely((__pyx_v_coef0 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 332; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_coef0 = ((double)0.);
|
|
}
|
|
if (values[14]) {
|
|
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[14]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 332; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_tol = ((double)1e-3);
|
|
}
|
|
if (values[15]) {
|
|
__pyx_v_C = __pyx_PyFloat_AsDouble(values[15]); if (unlikely((__pyx_v_C == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 333; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":333
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3,
|
|
* double C=1., double nu=0.5, double epsilon=0.1, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
*/
|
|
__pyx_v_C = ((double)1.);
|
|
}
|
|
if (values[16]) {
|
|
__pyx_v_nu = __pyx_PyFloat_AsDouble(values[16]); if (unlikely((__pyx_v_nu == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 333; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_nu = ((double)0.5);
|
|
}
|
|
if (values[17]) {
|
|
__pyx_v_epsilon = __pyx_PyFloat_AsDouble(values[17]); if (unlikely((__pyx_v_epsilon == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 333; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_epsilon = ((double)0.1);
|
|
}
|
|
__pyx_v_class_weight_label = ((PyArrayObject *)values[18]);
|
|
__pyx_v_class_weight = ((PyArrayObject *)values[19]);
|
|
__pyx_v_sample_weight = ((PyArrayObject *)values[20]);
|
|
if (values[21]) {
|
|
__pyx_v_shrinking = __Pyx_PyInt_AsInt(values[21]); if (unlikely((__pyx_v_shrinking == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 340; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_shrinking = ((int)0);
|
|
}
|
|
if (values[22]) {
|
|
__pyx_v_probability = __Pyx_PyInt_AsInt(values[22]); if (unlikely((__pyx_v_probability == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 340; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_probability = ((int)0);
|
|
}
|
|
if (values[23]) {
|
|
__pyx_v_cache_size = __pyx_PyFloat_AsDouble(values[23]); if (unlikely((__pyx_v_cache_size == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 341; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":341
|
|
* sample_weight=np.empty(0),
|
|
* int shrinking=0, int probability=0,
|
|
* double cache_size=100., # <<<<<<<<<<<<<<
|
|
* int max_iter=-1):
|
|
* """
|
|
*/
|
|
__pyx_v_cache_size = ((double)100.);
|
|
}
|
|
if (values[24]) {
|
|
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[24]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 342; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_max_iter = ((int)-1);
|
|
}
|
|
}
|
|
goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
|
|
__Pyx_RaiseArgtupleInvalid("predict_proba", 0, 7, 25, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 321; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_L3_error:;
|
|
__Pyx_AddTraceback("sklearn.svm.libsvm.predict_proba", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__Pyx_RefNannyFinishContext();
|
|
return NULL;
|
|
__pyx_L4_argument_unpacking_done:;
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X), __pyx_ptype_5numpy_ndarray, 1, "X", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 322; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_support), __pyx_ptype_5numpy_ndarray, 1, "support", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_SV), __pyx_ptype_5numpy_ndarray, 1, "SV", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 324; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_nSV), __pyx_ptype_5numpy_ndarray, 1, "nSV", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 325; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sv_coef), __pyx_ptype_5numpy_ndarray, 1, "sv_coef", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 326; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_intercept), __pyx_ptype_5numpy_ndarray, 1, "intercept", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 327; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_label), __pyx_ptype_5numpy_ndarray, 1, "label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 328; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_probA), __pyx_ptype_5numpy_ndarray, 1, "probA", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 329; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_probB), __pyx_ptype_5numpy_ndarray, 1, "probB", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 330; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_kernel), (&PyString_Type), 1, "kernel", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 331; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight_label), __pyx_ptype_5numpy_ndarray, 1, "class_weight_label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 334; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight), __pyx_ptype_5numpy_ndarray, 1, "class_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 336; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sample_weight), __pyx_ptype_5numpy_ndarray, 1, "sample_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 338; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_r = __pyx_pf_7sklearn_3svm_6libsvm_4predict_proba(__pyx_self, __pyx_v_X, __pyx_v_support, __pyx_v_SV, __pyx_v_nSV, __pyx_v_sv_coef, __pyx_v_intercept, __pyx_v_label, __pyx_v_probA, __pyx_v_probB, __pyx_v_svm_type, __pyx_v_kernel, __pyx_v_degree, __pyx_v_gamma, __pyx_v_coef0, __pyx_v_tol, __pyx_v_C, __pyx_v_nu, __pyx_v_epsilon, __pyx_v_class_weight_label, __pyx_v_class_weight, __pyx_v_sample_weight, __pyx_v_shrinking, __pyx_v_probability, __pyx_v_cache_size, __pyx_v_max_iter);
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__pyx_r = NULL;
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "sklearn/svm/libsvm.pyx":321
|
|
*
|
|
*
|
|
* def predict_proba( # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c'] support,
|
|
*/
|
|
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_4predict_proba(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_support, PyArrayObject *__pyx_v_SV, PyArrayObject *__pyx_v_nSV, PyArrayObject *__pyx_v_sv_coef, PyArrayObject *__pyx_v_intercept, PyArrayObject *__pyx_v_label, PyArrayObject *__pyx_v_probA, PyArrayObject *__pyx_v_probB, int __pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, CYTHON_UNUSED PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter) {
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PyArrayObject *__pyx_v_dec_values = 0;
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struct svm_parameter __pyx_v_param;
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struct svm_model *__pyx_v_model;
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PyObject *__pyx_v_kernel_index = NULL;
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npy_intp __pyx_v_n_class;
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__Pyx_Buffer __pyx_pybuffer_SV;
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__Pyx_LocalBuf_ND __pyx_pybuffernd_X;
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__Pyx_Buffer __pyx_pybuffer_X;
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__Pyx_Buffer __pyx_pybuffer_class_weight;
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__Pyx_Buffer __pyx_pybuffer_class_weight_label;
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__Pyx_Buffer __pyx_pybuffer_dec_values;
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int __pyx_t_4;
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/* "sklearn/svm/libsvm.pyx":374
|
|
* cdef svm_model *model
|
|
*
|
|
* kernel_index = LIBSVM_KERNEL_TYPES.index(kernel) # <<<<<<<<<<<<<<
|
|
* set_parameter(¶m, svm_type, kernel_index, degree, gamma,
|
|
* coef0, nu, cache_size, C, tol, epsilon, shrinking,
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|
*/
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__pyx_t_3 = 0;
|
|
|
|
/* "sklearn/svm/libsvm.pyx":375
|
|
*
|
|
* kernel_index = LIBSVM_KERNEL_TYPES.index(kernel)
|
|
* set_parameter(¶m, svm_type, kernel_index, degree, gamma, # <<<<<<<<<<<<<<
|
|
* coef0, nu, cache_size, C, tol, epsilon, shrinking,
|
|
* probability, <int> class_weight.shape[0], class_weight_label.data,
|
|
*/
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__pyx_t_4 = __Pyx_PyInt_AsInt(__pyx_v_kernel_index); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 375; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
|
|
/* "sklearn/svm/libsvm.pyx":378
|
|
* coef0, nu, cache_size, C, tol, epsilon, shrinking,
|
|
* probability, <int> class_weight.shape[0], class_weight_label.data,
|
|
* class_weight.data, max_iter) # <<<<<<<<<<<<<<
|
|
*
|
|
* model = set_model(¶m, <int> nSV.shape[0], SV.data, SV.shape,
|
|
*/
|
|
set_parameter((&__pyx_v_param), __pyx_v_svm_type, __pyx_t_4, __pyx_v_degree, __pyx_v_gamma, __pyx_v_coef0, __pyx_v_nu, __pyx_v_cache_size, __pyx_v_C, __pyx_v_tol, __pyx_v_epsilon, __pyx_v_shrinking, __pyx_v_probability, ((int)(__pyx_v_class_weight->dimensions[0])), __pyx_v_class_weight_label->data, __pyx_v_class_weight->data, __pyx_v_max_iter);
|
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/* "sklearn/svm/libsvm.pyx":383
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* support.data, support.shape, sv_coef.strides,
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* sv_coef.data, intercept.data, nSV.data,
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|
|
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X)) != 0)) kw_args--;
|
|
else goto __pyx_L5_argtuple_error;
|
|
case 1:
|
|
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__support)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 2:
|
|
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__SV)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 3:
|
|
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nSV)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 4:
|
|
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sv_coef)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 5:
|
|
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__intercept)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 6:
|
|
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__label)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 7:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probA);
|
|
if (value) { values[7] = value; kw_args--; }
|
|
}
|
|
case 8:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probB);
|
|
if (value) { values[8] = value; kw_args--; }
|
|
}
|
|
case 9:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__svm_type);
|
|
if (value) { values[9] = value; kw_args--; }
|
|
}
|
|
case 10:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__kernel);
|
|
if (value) { values[10] = value; kw_args--; }
|
|
}
|
|
case 11:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__degree);
|
|
if (value) { values[11] = value; kw_args--; }
|
|
}
|
|
case 12:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__gamma);
|
|
if (value) { values[12] = value; kw_args--; }
|
|
}
|
|
case 13:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__coef0);
|
|
if (value) { values[13] = value; kw_args--; }
|
|
}
|
|
case 14:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol);
|
|
if (value) { values[14] = value; kw_args--; }
|
|
}
|
|
case 15:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__C);
|
|
if (value) { values[15] = value; kw_args--; }
|
|
}
|
|
case 16:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nu);
|
|
if (value) { values[16] = value; kw_args--; }
|
|
}
|
|
case 17:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__epsilon);
|
|
if (value) { values[17] = value; kw_args--; }
|
|
}
|
|
case 18:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight_label);
|
|
if (value) { values[18] = value; kw_args--; }
|
|
}
|
|
case 19:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight);
|
|
if (value) { values[19] = value; kw_args--; }
|
|
}
|
|
case 20:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sample_weight);
|
|
if (value) { values[20] = value; kw_args--; }
|
|
}
|
|
case 21:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shrinking);
|
|
if (value) { values[21] = value; kw_args--; }
|
|
}
|
|
case 22:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probability);
|
|
if (value) { values[22] = value; kw_args--; }
|
|
}
|
|
case 23:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__cache_size);
|
|
if (value) { values[23] = value; kw_args--; }
|
|
}
|
|
case 24:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter);
|
|
if (value) { values[24] = value; kw_args--; }
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "decision_function") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24);
|
|
case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23);
|
|
case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22);
|
|
case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21);
|
|
case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20);
|
|
case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19);
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
}
|
|
__pyx_v_X = ((PyArrayObject *)values[0]);
|
|
__pyx_v_support = ((PyArrayObject *)values[1]);
|
|
__pyx_v_SV = ((PyArrayObject *)values[2]);
|
|
__pyx_v_nSV = ((PyArrayObject *)values[3]);
|
|
__pyx_v_sv_coef = ((PyArrayObject *)values[4]);
|
|
__pyx_v_intercept = ((PyArrayObject *)values[5]);
|
|
__pyx_v_label = ((PyArrayObject *)values[6]);
|
|
__pyx_v_probA = ((PyArrayObject *)values[7]);
|
|
__pyx_v_probB = ((PyArrayObject *)values[8]);
|
|
if (values[9]) {
|
|
__pyx_v_svm_type = __Pyx_PyInt_AsInt(values[9]); if (unlikely((__pyx_v_svm_type == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 404; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_svm_type = ((int)0);
|
|
}
|
|
__pyx_v_kernel = ((PyObject*)values[10]);
|
|
if (values[11]) {
|
|
__pyx_v_degree = __Pyx_PyInt_AsInt(values[11]); if (unlikely((__pyx_v_degree == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 404; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_degree = ((int)3);
|
|
}
|
|
if (values[12]) {
|
|
__pyx_v_gamma = __pyx_PyFloat_AsDouble(values[12]); if (unlikely((__pyx_v_gamma == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 405; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":405
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probB=np.empty(0),
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3, # <<<<<<<<<<<<<<
|
|
* double C=1., double nu=0.5, double epsilon=0.1,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
*/
|
|
__pyx_v_gamma = ((double)0.1);
|
|
}
|
|
if (values[13]) {
|
|
__pyx_v_coef0 = __pyx_PyFloat_AsDouble(values[13]); if (unlikely((__pyx_v_coef0 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 405; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_coef0 = ((double)0.);
|
|
}
|
|
if (values[14]) {
|
|
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[14]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 405; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_tol = ((double)1e-3);
|
|
}
|
|
if (values[15]) {
|
|
__pyx_v_C = __pyx_PyFloat_AsDouble(values[15]); if (unlikely((__pyx_v_C == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 406; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":406
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3,
|
|
* double C=1., double nu=0.5, double epsilon=0.1, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
*/
|
|
__pyx_v_C = ((double)1.);
|
|
}
|
|
if (values[16]) {
|
|
__pyx_v_nu = __pyx_PyFloat_AsDouble(values[16]); if (unlikely((__pyx_v_nu == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 406; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_nu = ((double)0.5);
|
|
}
|
|
if (values[17]) {
|
|
__pyx_v_epsilon = __pyx_PyFloat_AsDouble(values[17]); if (unlikely((__pyx_v_epsilon == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 406; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_epsilon = ((double)0.1);
|
|
}
|
|
__pyx_v_class_weight_label = ((PyArrayObject *)values[18]);
|
|
__pyx_v_class_weight = ((PyArrayObject *)values[19]);
|
|
__pyx_v_sample_weight = ((PyArrayObject *)values[20]);
|
|
if (values[21]) {
|
|
__pyx_v_shrinking = __Pyx_PyInt_AsInt(values[21]); if (unlikely((__pyx_v_shrinking == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 413; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_shrinking = ((int)0);
|
|
}
|
|
if (values[22]) {
|
|
__pyx_v_probability = __Pyx_PyInt_AsInt(values[22]); if (unlikely((__pyx_v_probability == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 413; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_probability = ((int)0);
|
|
}
|
|
if (values[23]) {
|
|
__pyx_v_cache_size = __pyx_PyFloat_AsDouble(values[23]); if (unlikely((__pyx_v_cache_size == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 414; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":414
|
|
* sample_weight=np.empty(0),
|
|
* int shrinking=0, int probability=0,
|
|
* double cache_size=100., # <<<<<<<<<<<<<<
|
|
* int max_iter=-1):
|
|
* """
|
|
*/
|
|
__pyx_v_cache_size = ((double)100.);
|
|
}
|
|
if (values[24]) {
|
|
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[24]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 415; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_max_iter = ((int)-1);
|
|
}
|
|
}
|
|
goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
|
|
__Pyx_RaiseArgtupleInvalid("decision_function", 0, 7, 25, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_L3_error:;
|
|
__Pyx_AddTraceback("sklearn.svm.libsvm.decision_function", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__Pyx_RefNannyFinishContext();
|
|
return NULL;
|
|
__pyx_L4_argument_unpacking_done:;
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X), __pyx_ptype_5numpy_ndarray, 1, "X", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 395; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_support), __pyx_ptype_5numpy_ndarray, 1, "support", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 396; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_SV), __pyx_ptype_5numpy_ndarray, 1, "SV", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 397; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_nSV), __pyx_ptype_5numpy_ndarray, 1, "nSV", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 398; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sv_coef), __pyx_ptype_5numpy_ndarray, 1, "sv_coef", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 399; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_intercept), __pyx_ptype_5numpy_ndarray, 1, "intercept", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 400; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_label), __pyx_ptype_5numpy_ndarray, 1, "label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_probA), __pyx_ptype_5numpy_ndarray, 1, "probA", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 402; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_probB), __pyx_ptype_5numpy_ndarray, 1, "probB", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_kernel), (&PyString_Type), 1, "kernel", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 404; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight_label), __pyx_ptype_5numpy_ndarray, 1, "class_weight_label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight), __pyx_ptype_5numpy_ndarray, 1, "class_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 409; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sample_weight), __pyx_ptype_5numpy_ndarray, 1, "sample_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 411; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
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/* "sklearn/svm/libsvm.pyx":394
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*
|
|
*
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|
* def decision_function( # <<<<<<<<<<<<<<
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|
* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c'] support,
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|
*/
|
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|
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PyArrayObject *__pyx_v_dec_values = 0;
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|
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|
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|
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/* "sklearn/svm/libsvm.pyx":431
|
|
* coef0, nu, cache_size, C, tol, epsilon, shrinking,
|
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|
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|
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|
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|
|
|
|
/* "sklearn/svm/libsvm.pyx":436
|
|
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|
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|
|
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|
|
*
|
|
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|
|
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|
|
|
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/* "sklearn/svm/libsvm.pyx":438
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values[4] = ((PyObject*)__pyx_n_s__rbf);
|
|
values[12] = (PyObject *)__pyx_k_36;
|
|
values[13] = (PyObject *)__pyx_k_37;
|
|
values[14] = (PyObject *)__pyx_k_38;
|
|
if (unlikely(__pyx_kwds)) {
|
|
Py_ssize_t kw_args;
|
|
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
|
|
switch (pos_args) {
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
case 0: break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
kw_args = PyDict_Size(__pyx_kwds);
|
|
switch (pos_args) {
|
|
case 0:
|
|
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X)) != 0)) kw_args--;
|
|
else goto __pyx_L5_argtuple_error;
|
|
case 1:
|
|
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__Y)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("cross_validation", 0, 3, 19, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 2:
|
|
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__n_fold)) != 0)) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("cross_validation", 0, 3, 19, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 3:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__svm_type);
|
|
if (value) { values[3] = value; kw_args--; }
|
|
}
|
|
case 4:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__kernel);
|
|
if (value) { values[4] = value; kw_args--; }
|
|
}
|
|
case 5:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__degree);
|
|
if (value) { values[5] = value; kw_args--; }
|
|
}
|
|
case 6:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__gamma);
|
|
if (value) { values[6] = value; kw_args--; }
|
|
}
|
|
case 7:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__coef0);
|
|
if (value) { values[7] = value; kw_args--; }
|
|
}
|
|
case 8:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol);
|
|
if (value) { values[8] = value; kw_args--; }
|
|
}
|
|
case 9:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__C);
|
|
if (value) { values[9] = value; kw_args--; }
|
|
}
|
|
case 10:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nu);
|
|
if (value) { values[10] = value; kw_args--; }
|
|
}
|
|
case 11:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__epsilon);
|
|
if (value) { values[11] = value; kw_args--; }
|
|
}
|
|
case 12:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight_label);
|
|
if (value) { values[12] = value; kw_args--; }
|
|
}
|
|
case 13:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__class_weight);
|
|
if (value) { values[13] = value; kw_args--; }
|
|
}
|
|
case 14:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sample_weight);
|
|
if (value) { values[14] = value; kw_args--; }
|
|
}
|
|
case 15:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shrinking);
|
|
if (value) { values[15] = value; kw_args--; }
|
|
}
|
|
case 16:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__probability);
|
|
if (value) { values[16] = value; kw_args--; }
|
|
}
|
|
case 17:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__cache_size);
|
|
if (value) { values[17] = value; kw_args--; }
|
|
}
|
|
case 18:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter);
|
|
if (value) { values[18] = value; kw_args--; }
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "cross_validation") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
}
|
|
__pyx_v_X = ((PyArrayObject *)values[0]);
|
|
__pyx_v_Y = ((PyArrayObject *)values[1]);
|
|
__pyx_v_n_fold = __Pyx_PyInt_AsInt(values[2]); if (unlikely((__pyx_v_n_fold == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 455; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_svm_type = values[3];
|
|
__pyx_v_kernel = ((PyObject*)values[4]);
|
|
if (values[5]) {
|
|
__pyx_v_degree = __Pyx_PyInt_AsInt(values[5]); if (unlikely((__pyx_v_degree == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 455; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_degree = ((int)3);
|
|
}
|
|
if (values[6]) {
|
|
__pyx_v_gamma = __pyx_PyFloat_AsDouble(values[6]); if (unlikely((__pyx_v_gamma == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 456; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":456
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] Y,
|
|
* int n_fold, svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3, # <<<<<<<<<<<<<<
|
|
* double C=1., double nu=0.5, double epsilon=0.1,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
*/
|
|
__pyx_v_gamma = ((double)0.1);
|
|
}
|
|
if (values[7]) {
|
|
__pyx_v_coef0 = __pyx_PyFloat_AsDouble(values[7]); if (unlikely((__pyx_v_coef0 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 456; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_coef0 = ((double)0.);
|
|
}
|
|
if (values[8]) {
|
|
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[8]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 456; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_tol = ((double)1e-3);
|
|
}
|
|
if (values[9]) {
|
|
__pyx_v_C = __pyx_PyFloat_AsDouble(values[9]); if (unlikely((__pyx_v_C == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 457; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":457
|
|
* int n_fold, svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3,
|
|
* double C=1., double nu=0.5, double epsilon=0.1, # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
*/
|
|
__pyx_v_C = ((double)1.);
|
|
}
|
|
if (values[10]) {
|
|
__pyx_v_nu = __pyx_PyFloat_AsDouble(values[10]); if (unlikely((__pyx_v_nu == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 457; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_nu = ((double)0.5);
|
|
}
|
|
if (values[11]) {
|
|
__pyx_v_epsilon = __pyx_PyFloat_AsDouble(values[11]); if (unlikely((__pyx_v_epsilon == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 457; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_epsilon = ((double)0.1);
|
|
}
|
|
__pyx_v_class_weight_label = ((PyArrayObject *)values[12]);
|
|
__pyx_v_class_weight = ((PyArrayObject *)values[13]);
|
|
__pyx_v_sample_weight = ((PyArrayObject *)values[14]);
|
|
if (values[15]) {
|
|
__pyx_v_shrinking = __Pyx_PyInt_AsInt(values[15]); if (unlikely((__pyx_v_shrinking == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 464; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_shrinking = ((int)0);
|
|
}
|
|
if (values[16]) {
|
|
__pyx_v_probability = __Pyx_PyInt_AsInt(values[16]); if (unlikely((__pyx_v_probability == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 464; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_probability = ((int)0);
|
|
}
|
|
if (values[17]) {
|
|
__pyx_v_cache_size = __pyx_PyFloat_AsDouble(values[17]); if (unlikely((__pyx_v_cache_size == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 464; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/svm/libsvm.pyx":464
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
|
|
* sample_weight=np.empty(0),
|
|
* int shrinking=0, int probability=0, double cache_size=100., # <<<<<<<<<<<<<<
|
|
* int max_iter=-1):
|
|
* """
|
|
*/
|
|
__pyx_v_cache_size = ((double)100.);
|
|
}
|
|
if (values[18]) {
|
|
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[18]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 465; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
__pyx_v_max_iter = ((int)-1);
|
|
}
|
|
}
|
|
goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
|
|
__Pyx_RaiseArgtupleInvalid("cross_validation", 0, 3, 19, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_L3_error:;
|
|
__Pyx_AddTraceback("sklearn.svm.libsvm.cross_validation", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__Pyx_RefNannyFinishContext();
|
|
return NULL;
|
|
__pyx_L4_argument_unpacking_done:;
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X), __pyx_ptype_5numpy_ndarray, 1, "X", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 453; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_Y), __pyx_ptype_5numpy_ndarray, 1, "Y", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_kernel), (&PyString_Type), 1, "kernel", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 455; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight_label), __pyx_ptype_5numpy_ndarray, 1, "class_weight_label", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 458; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_class_weight), __pyx_ptype_5numpy_ndarray, 1, "class_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 460; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_sample_weight), __pyx_ptype_5numpy_ndarray, 1, "sample_weight", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 462; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_r = __pyx_pf_7sklearn_3svm_6libsvm_8cross_validation(__pyx_self, __pyx_v_X, __pyx_v_Y, __pyx_v_n_fold, __pyx_v_svm_type, __pyx_v_kernel, __pyx_v_degree, __pyx_v_gamma, __pyx_v_coef0, __pyx_v_tol, __pyx_v_C, __pyx_v_nu, __pyx_v_epsilon, __pyx_v_class_weight_label, __pyx_v_class_weight, __pyx_v_sample_weight, __pyx_v_shrinking, __pyx_v_probability, __pyx_v_cache_size, __pyx_v_max_iter);
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__pyx_r = NULL;
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "sklearn/svm/libsvm.pyx":452
|
|
*
|
|
*
|
|
* def cross_validation( # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] Y,
|
|
*/
|
|
|
|
static PyObject *__pyx_pf_7sklearn_3svm_6libsvm_8cross_validation(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_Y, int __pyx_v_n_fold, PyObject *__pyx_v_svm_type, PyObject *__pyx_v_kernel, int __pyx_v_degree, double __pyx_v_gamma, double __pyx_v_coef0, double __pyx_v_tol, double __pyx_v_C, double __pyx_v_nu, CYTHON_UNUSED double __pyx_v_epsilon, PyArrayObject *__pyx_v_class_weight_label, PyArrayObject *__pyx_v_class_weight, PyArrayObject *__pyx_v_sample_weight, int __pyx_v_shrinking, int __pyx_v_probability, double __pyx_v_cache_size, int __pyx_v_max_iter) {
|
|
struct svm_parameter __pyx_v_param;
|
|
struct svm_problem __pyx_v_problem;
|
|
char *__pyx_v_error_msg;
|
|
PyObject *__pyx_v_kernel_index = NULL;
|
|
PyArrayObject *__pyx_v_target = 0;
|
|
__Pyx_LocalBuf_ND __pyx_pybuffernd_X;
|
|
__Pyx_Buffer __pyx_pybuffer_X;
|
|
__Pyx_LocalBuf_ND __pyx_pybuffernd_Y;
|
|
__Pyx_Buffer __pyx_pybuffer_Y;
|
|
__Pyx_LocalBuf_ND __pyx_pybuffernd_class_weight;
|
|
__Pyx_Buffer __pyx_pybuffer_class_weight;
|
|
__Pyx_LocalBuf_ND __pyx_pybuffernd_class_weight_label;
|
|
__Pyx_Buffer __pyx_pybuffer_class_weight_label;
|
|
__Pyx_LocalBuf_ND __pyx_pybuffernd_sample_weight;
|
|
__Pyx_Buffer __pyx_pybuffer_sample_weight;
|
|
__Pyx_LocalBuf_ND __pyx_pybuffernd_target;
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|
* kernel_index = LIBSVM_KERNEL_TYPES.index(kernel)
|
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|
|
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/* "sklearn/svm/libsvm.pyx":533
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|
* set_problem(
|
|
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|
|
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|
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/* "sklearn/svm/libsvm.pyx":534
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|
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|
|
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|
|
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|
|
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|
|
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|
|
*/
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|
|
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|
|
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|
|
__pyx_L5:;
|
|
|
|
/* "sklearn/svm/libsvm.pyx":538
|
|
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|
|
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|
|
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|
|
* C, tol, tol, shrinking, probability, <int>
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|
* class_weight.shape[0], class_weight_label.data,
|
|
*/
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|
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|
|
|
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/* "sklearn/svm/libsvm.pyx":541
|
|
* C, tol, tol, shrinking, probability, <int>
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* class_weight.shape[0], class_weight_label.data,
|
|
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|
|
*
|
|
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|
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|
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/* "sklearn/svm/libsvm.pyx":543
|
|
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|
|
*
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|
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|
|
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|
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|
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/* "sklearn/svm/libsvm.pyx":544
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|
*
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|
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|
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|
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/* "sklearn/svm/libsvm.pyx":545
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* # experimental exception made for __getbuffer__ and __releasebuffer__
|
|
* # -- the details of this may change.
|
|
* def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<<
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|
* # This implementation of getbuffer is geared towards Cython
|
|
* # requirements, and does not yet fullfill the PEP.
|
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*/
|
|
|
|
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
|
|
int __pyx_v_copy_shape;
|
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int __pyx_v_i;
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int __pyx_v_ndim;
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int __pyx_v_endian_detector;
|
|
int __pyx_v_little_endian;
|
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int __pyx_v_t;
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char *__pyx_v_f;
|
|
PyArray_Descr *__pyx_v_descr = 0;
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int __pyx_v_offset;
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|
int __pyx_v_hasfields;
|
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int __pyx_r;
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__Pyx_RefNannyDeclarations
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int __pyx_t_1;
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int __pyx_t_2;
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int __pyx_t_3;
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PyObject *__pyx_t_4 = NULL;
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int __pyx_t_5;
|
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int __pyx_t_6;
|
|
int __pyx_t_7;
|
|
PyObject *__pyx_t_8 = NULL;
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char *__pyx_t_9;
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int __pyx_lineno = 0;
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const char *__pyx_filename = NULL;
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int __pyx_clineno = 0;
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__Pyx_RefNannySetupContext("__getbuffer__", 0);
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if (__pyx_v_info != NULL) {
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__pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None);
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__Pyx_GIVEREF(__pyx_v_info->obj);
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}
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|
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/* "numpy.pxd":200
|
|
* # of flags
|
|
*
|
|
* if info == NULL: return # <<<<<<<<<<<<<<
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|
*
|
|
* cdef int copy_shape, i, ndim
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|
*/
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|
__pyx_t_1 = (__pyx_v_info == NULL);
|
|
if (__pyx_t_1) {
|
|
__pyx_r = 0;
|
|
goto __pyx_L0;
|
|
goto __pyx_L3;
|
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}
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|
__pyx_L3:;
|
|
|
|
/* "numpy.pxd":203
|
|
*
|
|
* cdef int copy_shape, i, ndim
|
|
* cdef int endian_detector = 1 # <<<<<<<<<<<<<<
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|
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
|
|
*
|
|
*/
|
|
__pyx_v_endian_detector = 1;
|
|
|
|
/* "numpy.pxd":204
|
|
* cdef int copy_shape, i, ndim
|
|
* cdef int endian_detector = 1
|
|
* 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":206
|
|
* 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(__pyx_v_self);
|
|
|
|
/* "numpy.pxd":208
|
|
* 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":209
|
|
*
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
|
|
* copy_shape = 1 # <<<<<<<<<<<<<<
|
|
* else:
|
|
* copy_shape = 0
|
|
*/
|
|
__pyx_v_copy_shape = 1;
|
|
goto __pyx_L4;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":211
|
|
* copy_shape = 1
|
|
* else:
|
|
* copy_shape = 0 # <<<<<<<<<<<<<<
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
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|
*/
|
|
__pyx_v_copy_shape = 0;
|
|
}
|
|
__pyx_L4:;
|
|
|
|
/* "numpy.pxd":213
|
|
* 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":214
|
|
*
|
|
* 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(__pyx_v_self, NPY_C_CONTIGUOUS));
|
|
__pyx_t_3 = __pyx_t_2;
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} else {
|
|
__pyx_t_3 = __pyx_t_1;
|
|
}
|
|
if (__pyx_t_3) {
|
|
|
|
/* "numpy.pxd":215
|
|
* 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_43), 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);
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|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
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__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_L5;
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "numpy.pxd":217
|
|
* 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":218
|
|
*
|
|
* 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(__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":219
|
|
* 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_45), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
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__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L6;
|
|
}
|
|
__pyx_L6:;
|
|
|
|
/* "numpy.pxd":221
|
|
* 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(__pyx_v_self);
|
|
|
|
/* "numpy.pxd":222
|
|
*
|
|
* 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":223
|
|
* 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":226
|
|
* # 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":227
|
|
* # 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":228
|
|
* 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":229
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<<
|
|
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|
|
* else:
|
|
*/
|
|
(__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]);
|
|
|
|
/* "numpy.pxd":230
|
|
* 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(__pyx_v_self)[__pyx_v_i]);
|
|
}
|
|
goto __pyx_L7;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":232
|
|
* 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(__pyx_v_self));
|
|
|
|
/* "numpy.pxd":233
|
|
* 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(__pyx_v_self));
|
|
}
|
|
__pyx_L7:;
|
|
|
|
/* "numpy.pxd":234
|
|
* 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":235
|
|
* 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(__pyx_v_self);
|
|
|
|
/* "numpy.pxd":236
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef int t
|
|
*/
|
|
__pyx_v_info->readonly = (!PyArray_ISWRITEABLE(__pyx_v_self));
|
|
|
|
/* "numpy.pxd":239
|
|
*
|
|
* cdef int t
|
|
* cdef char* f = NULL # <<<<<<<<<<<<<<
|
|
* cdef dtype descr = self.descr
|
|
* cdef list stack
|
|
*/
|
|
__pyx_v_f = NULL;
|
|
|
|
/* "numpy.pxd":240
|
|
* cdef int t
|
|
* cdef char* f = NULL
|
|
* cdef dtype descr = self.descr # <<<<<<<<<<<<<<
|
|
* cdef list stack
|
|
* cdef int offset
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_self->descr));
|
|
__pyx_v_descr = __pyx_v_self->descr;
|
|
|
|
/* "numpy.pxd":244
|
|
* 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":246
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr)
|
|
*
|
|
* if not hasfields and not copy_shape: # <<<<<<<<<<<<<<
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|
* # do not call releasebuffer
|
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* info.obj = None
|
|
*/
|
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__pyx_t_2 = (!__pyx_v_hasfields);
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|
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|
|
__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":248
|
|
* if not hasfields and not copy_shape:
|
|
* # do not call releasebuffer
|
|
* info.obj = None # <<<<<<<<<<<<<<
|
|
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|
|
* # need to call releasebuffer
|
|
*/
|
|
__Pyx_INCREF(Py_None);
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|
__Pyx_GIVEREF(Py_None);
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|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = Py_None;
|
|
goto __pyx_L10;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":251
|
|
* else:
|
|
* # need to call releasebuffer
|
|
* info.obj = self # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields:
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_self));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_v_self));
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = ((PyObject *)__pyx_v_self);
|
|
}
|
|
__pyx_L10:;
|
|
|
|
/* "numpy.pxd":253
|
|
* info.obj = self
|
|
*
|
|
* if not hasfields: # <<<<<<<<<<<<<<
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
*/
|
|
__pyx_t_1 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":254
|
|
*
|
|
* if not hasfields:
|
|
* t = descr.type_num # <<<<<<<<<<<<<<
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
*/
|
|
__pyx_v_t = __pyx_v_descr->type_num;
|
|
|
|
/* "numpy.pxd":255
|
|
* if not hasfields:
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
__pyx_t_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":256
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
*/
|
|
__pyx_t_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":257
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
*/
|
|
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_47), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __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 = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L12;
|
|
}
|
|
__pyx_L12:;
|
|
|
|
/* "numpy.pxd":258
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_BYTE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__b;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":259
|
|
* 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_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":260
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_SHORT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__h;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":261
|
|
* 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_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":262
|
|
* 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_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":263
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_UINT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__I;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":264
|
|
* 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_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":265
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_ULONG);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__L;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":266
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_LONGLONG);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__q;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":267
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_ULONGLONG);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__Q;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":268
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_FLOAT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__f;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":269
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_DOUBLE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__d;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":270
|
|
* 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);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__g;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":271
|
|
* 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"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_CFLOAT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__Zf;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":272
|
|
* elif t == NPY_LONGDOUBLE: f = "g"
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg"
|
|
* elif t == NPY_OBJECT: f = "O"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_CDOUBLE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__Zd;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":273
|
|
* elif t == NPY_CFLOAT: f = "Zf"
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_OBJECT: f = "O"
|
|
* else:
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_CLONGDOUBLE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__Zg;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":274
|
|
* elif t == NPY_CDOUBLE: f = "Zd"
|
|
* elif t == NPY_CLONGDOUBLE: f = "Zg"
|
|
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|
|
* else:
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_OBJECT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__O;
|
|
goto __pyx_L13;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":276
|
|
* elif t == NPY_OBJECT: f = "O"
|
|
* else:
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<<
|
|
* info.format = f
|
|
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|
|
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|
|
__pyx_t_4 = PyInt_FromLong(__pyx_v_t); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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|
__Pyx_GOTREF(__pyx_t_4);
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|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_8));
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
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__pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_4);
|
|
PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_t_8));
|
|
__pyx_t_8 = 0;
|
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__pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_8);
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0;
|
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__Pyx_Raise(__pyx_t_8, 0, 0, 0);
|
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__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
__pyx_L13:;
|
|
|
|
/* "numpy.pxd":277
|
|
* else:
|
|
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|
|
* info.format = f # <<<<<<<<<<<<<<
|
|
* return
|
|
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|
|
*/
|
|
__pyx_v_info->format = __pyx_v_f;
|
|
|
|
/* "numpy.pxd":278
|
|
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
|
|
* info.format = f
|
|
* return # <<<<<<<<<<<<<<
|
|
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|
|
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|
|
*/
|
|
__pyx_r = 0;
|
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goto __pyx_L0;
|
|
goto __pyx_L11;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":280
|
|
* return
|
|
* else:
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len) # <<<<<<<<<<<<<<
|
|
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__pyx_v_info->format = ((char *)malloc(255));
|
|
|
|
/* "numpy.pxd":281
|
|
* else:
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
|
|
* info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<<
|
|
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|
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*/
|
|
(__pyx_v_info->format[0]) = '^';
|
|
|
|
/* "numpy.pxd":282
|
|
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
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|
* info.format[0] = c'^' # Native data types, manual alignment
|
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* offset = 0 # <<<<<<<<<<<<<<
|
|
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|
|
* info.format + _buffer_format_string_len,
|
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*/
|
|
__pyx_v_offset = 0;
|
|
|
|
/* "numpy.pxd":285
|
|
* f = _util_dtypestring(descr, info.format + 1,
|
|
* info.format + _buffer_format_string_len,
|
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|
|
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*
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*/
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__pyx_v_f = __pyx_t_9;
|
|
|
|
/* "numpy.pxd":286
|
|
* info.format + _buffer_format_string_len,
|
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* &offset)
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* f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<<
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* def __releasebuffer__(ndarray self, Py_buffer* info):
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*/
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|
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|
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__pyx_r = 0;
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goto __pyx_L0;
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|
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__Pyx_XDECREF(__pyx_t_4);
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__Pyx_XDECREF(__pyx_t_8);
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__Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__pyx_r = -1;
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if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) {
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/* Python wrapper */
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static void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
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__Pyx_RefNannyDeclarations
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__pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info));
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|
|
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/* "numpy.pxd":796
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|
* for childname in descr.names:
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|
* fields = descr.fields[childname]
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|
* child, new_offset = fields # <<<<<<<<<<<<<<
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*
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* if (end - f) - (new_offset - offset[0]) < 15:
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*/
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Py_ssize_t size = Py_SIZE(sequence);
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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}
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__Pyx_INCREF(__pyx_t_3);
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__Pyx_INCREF(__pyx_t_4);
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__Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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{
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Py_ssize_t index = -1;
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__Pyx_GOTREF(__pyx_t_4);
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if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_5), 2) < 0) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_XDECREF(((PyObject *)__pyx_v_child));
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/* "numpy.pxd":798
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* child, new_offset = fields
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* if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<<
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/* "numpy.pxd":799
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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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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L7;
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/* "numpy.pxd":801
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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 == c'>' and little_endian) or # <<<<<<<<<<<<<<
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* (child.byteorder == c'<' 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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if (!__pyx_t_8) {
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/* "numpy.pxd":802
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*
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* if ((child.byteorder == c'>' and little_endian) or
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* (child.byteorder == c'<' 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_7 = __pyx_t_10;
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__pyx_t_7 = __pyx_t_8;
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}
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if (__pyx_t_7) {
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/* "numpy.pxd":803
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* if ((child.byteorder == c'>' and little_endian) or
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* (child.byteorder == c'<' 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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goto __pyx_L8;
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}
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__pyx_L8:;
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/* "numpy.pxd":813
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*
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* # Output padding bytes
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* f[0] = 120 # "x"; pad byte
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*/
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while (1) {
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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); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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|
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (!__pyx_t_7) break;
|
|
|
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/* "numpy.pxd":814
|
|
* # 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
|
|
*/
|
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(__pyx_v_f[0]) = 120;
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|
|
/* "numpy.pxd":815
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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
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|
*
|
|
*/
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|
__pyx_v_f = (__pyx_v_f + 1);
|
|
|
|
/* "numpy.pxd":816
|
|
* 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_11 = 0;
|
|
(__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + 1);
|
|
}
|
|
|
|
/* "numpy.pxd":818
|
|
* offset[0] += 1
|
|
*
|
|
* offset[0] += child.itemsize # <<<<<<<<<<<<<<
|
|
*
|
|
* if not PyDataType_HASFIELDS(child):
|
|
*/
|
|
__pyx_t_11 = 0;
|
|
(__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + __pyx_v_child->elsize);
|
|
|
|
/* "numpy.pxd":820
|
|
* offset[0] += child.itemsize
|
|
*
|
|
* if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<<
|
|
* t = child.type_num
|
|
* if end - f < 5:
|
|
*/
|
|
__pyx_t_7 = (!PyDataType_HASFIELDS(__pyx_v_child));
|
|
if (__pyx_t_7) {
|
|
|
|
/* "numpy.pxd":821
|
|
*
|
|
* if not PyDataType_HASFIELDS(child):
|
|
* t = child.type_num # <<<<<<<<<<<<<<
|
|
* if end - f < 5:
|
|
* raise RuntimeError(u"Format string allocated too short.")
|
|
*/
|
|
__pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_XDECREF(__pyx_v_t);
|
|
__pyx_v_t = __pyx_t_3;
|
|
__pyx_t_3 = 0;
|
|
|
|
/* "numpy.pxd":822
|
|
* if not PyDataType_HASFIELDS(child):
|
|
* t = child.type_num
|
|
* if end - f < 5: # <<<<<<<<<<<<<<
|
|
* raise RuntimeError(u"Format string allocated too short.")
|
|
*
|
|
*/
|
|
__pyx_t_7 = ((__pyx_v_end - __pyx_v_f) < 5);
|
|
if (__pyx_t_7) {
|
|
|
|
/* "numpy.pxd":823
|
|
* t = child.type_num
|
|
* if end - f < 5:
|
|
* raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<<
|
|
*
|
|
* # Until ticket #99 is fixed, use integers to avoid warnings
|
|
*/
|
|
__pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_53), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L12;
|
|
}
|
|
__pyx_L12:;
|
|
|
|
/* "numpy.pxd":826
|
|
*
|
|
* # 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"
|
|
*/
|
|
__pyx_t_3 = PyInt_FromLong(NPY_BYTE); 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);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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_7) {
|
|
(__pyx_v_f[0]) = 98;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":827
|
|
* # 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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*/
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__pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __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); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __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_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __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_7) {
|
|
(__pyx_v_f[0]) = 66;
|
|
goto __pyx_L13;
|
|
}
|
|
|
|
/* "numpy.pxd":828
|
|
* 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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|
* elif t == NPY_USHORT: f[0] = 72 #"H"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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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if (__pyx_t_7) {
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(__pyx_v_f[0]) = 104;
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goto __pyx_L13;
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}
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/* "numpy.pxd":829
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* elif t == NPY_UBYTE: f[0] = 66 #"B"
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* elif t == NPY_SHORT: f[0] = 104 #"h"
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* elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<<
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* elif t == NPY_INT: f[0] = 105 #"i"
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* elif t == NPY_UINT: f[0] = 73 #"I"
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_USHORT); 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); __Pyx_XGOTREF(__pyx_t_3); 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_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 72;
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goto __pyx_L13;
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}
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/* "numpy.pxd":830
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h"
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* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<<
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* elif t == NPY_UINT: f[0] = 73 #"I"
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* elif t == NPY_LONG: f[0] = 108 #"l"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_INT); 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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 105;
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goto __pyx_L13;
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}
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/* "numpy.pxd":831
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
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* elif t == NPY_INT: f[0] = 105 #"i"
|
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* elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<<
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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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*/
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__pyx_t_5 = PyInt_FromLong(NPY_UINT); 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); __Pyx_XGOTREF(__pyx_t_3); 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_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 73;
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goto __pyx_L13;
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}
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/* "numpy.pxd":832
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
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* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
* elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<<
|
|
* 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_3 = PyInt_FromLong(NPY_LONG); 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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 108;
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goto __pyx_L13;
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}
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/* "numpy.pxd":833
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
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* elif t == NPY_LONG: f[0] = 108 #"l"
|
|
* 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_5 = PyInt_FromLong(NPY_ULONG); 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); __Pyx_XGOTREF(__pyx_t_3); 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_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 76;
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goto __pyx_L13;
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}
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/* "numpy.pxd":834
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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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* elif t == NPY_FLOAT: f[0] = 102 #"f"
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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 = 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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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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if (__pyx_t_7) {
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(__pyx_v_f[0]) = 113;
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goto __pyx_L13;
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}
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/* "numpy.pxd":835
|
|
* 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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* elif t == NPY_DOUBLE: f[0] = 100 #"d"
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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 = 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); __Pyx_XGOTREF(__pyx_t_3); 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_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 81;
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goto __pyx_L13;
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}
|
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/* "numpy.pxd":836
|
|
* 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" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
|
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* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
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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 = 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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 102;
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goto __pyx_L13;
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}
|
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|
|
/* "numpy.pxd":837
|
|
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
|
|
* elif t == NPY_FLOAT: f[0] = 102 #"f"
|
|
* elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
|
|
* 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 = 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); __Pyx_XGOTREF(__pyx_t_3); 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_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 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_7) {
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(__pyx_v_f[0]) = 100;
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goto __pyx_L13;
|
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}
|
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|
|
/* "numpy.pxd":838
|
|
* elif t == NPY_FLOAT: f[0] = 102 #"f"
|
|
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
|
|
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
|
|
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
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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 = 838; __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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 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_7) {
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|
(__pyx_v_f[0]) = 103;
|
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goto __pyx_L13;
|
|
}
|
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|
|
/* "numpy.pxd":839
|
|
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
|
|
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
|
|
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<<
|
|
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
|
|
* 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 = 839; __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); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __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_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __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_7) {
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(__pyx_v_f[0]) = 90;
|
|
(__pyx_v_f[1]) = 102;
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__pyx_v_f = (__pyx_v_f + 1);
|
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goto __pyx_L13;
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}
|
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|
|
/* "numpy.pxd":840
|
|
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
|
|
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
|
|
* 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 = 840; __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); __Pyx_XGOTREF(__pyx_t_5); 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_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __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_7) {
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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_L13;
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}
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|
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/* "numpy.pxd":841
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|
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
|
|
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
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/* "numpy.pxd":799
|
|
*
|
|
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|
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*
|
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/* "numpy.pxd":803
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|
|
* (child.byteorder == c'<' and not little_endian)):
|
|
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|
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|
|
* # complain instead, BUT: < and > in format strings also imply
|
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/* "numpy.pxd":823
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|
* t = child.type_num
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|
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*
|
|
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|
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/* "sklearn/svm/libsvm.pyx":55
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* double C=1., double nu=0.5, double epsilon=0.1,
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* np.ndarray[np.int32_t, ndim=1, mode='c']
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* class_weight_label=np.empty(0, dtype=np.int32), # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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/* "sklearn/svm/libsvm.pyx":57
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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* class_weight=np.empty(0), # <<<<<<<<<<<<<<
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|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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* sample_weight=np.empty(0),
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/* "sklearn/svm/libsvm.pyx":59
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|
* class_weight=np.empty(0),
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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* sample_weight=np.empty(0), # <<<<<<<<<<<<<<
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* int shrinking=1, int probability=0,
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* double cache_size=100.,
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/* "sklearn/svm/libsvm.pyx":48
|
|
* # Wrapper functions
|
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*
|
|
* def fit( # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] Y,
|
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*/
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__Pyx_GIVEREF(((PyObject *)__pyx_n_s__label));
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PyTuple_SET_ITEM(__pyx_k_tuple_58, 35, ((PyObject *)__pyx_n_s__probB));
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__Pyx_GIVEREF(((PyObject *)__pyx_n_s__probB));
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__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_58));
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|
|
|
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/* "sklearn/svm/libsvm.pyx":242
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] intercept,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c'] label,
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probA=np.empty(0), # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probB=np.empty(0),
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
*/
|
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__pyx_k_tuple_62 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_62)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 242; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_k_tuple_62);
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__Pyx_GIVEREF(__pyx_int_0);
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__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_62));
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|
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/* "sklearn/svm/libsvm.pyx":243
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c'] label,
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probA=np.empty(0),
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c'] probB=np.empty(0), # <<<<<<<<<<<<<<
|
|
* int svm_type=0, str kernel='rbf', int degree=3,
|
|
* double gamma=0.1, double coef0=0., double tol=1e-3,
|
|
*/
|
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__pyx_k_tuple_63 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_63)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 243; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/* "sklearn/svm/libsvm.pyx":248
|
|
* double C=1., double nu=0.5, double epsilon=0.1,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
* class_weight_label=np.empty(0, dtype=np.int32), # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
|
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* class_weight=np.empty(0),
|
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*/
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__pyx_k_tuple_64 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_64)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 248; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/* "sklearn/svm/libsvm.pyx":250
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
|
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* class_weight=np.empty(0), # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
|
|
* sample_weight=np.empty(0),
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* np.ndarray[np.float64_t, ndim=1, mode='c'] intercept,
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* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
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* np.ndarray[np.float64_t, ndim=1, mode='c']
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/* "sklearn/svm/libsvm.pyx":410
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* class_weight_label=np.empty(0, dtype=np.int32),
|
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* np.ndarray[np.float64_t, ndim=1, mode='c']
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* class_weight=np.empty(0), # <<<<<<<<<<<<<<
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* np.ndarray[np.float64_t, ndim=1, mode='c']
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* class_weight=np.empty(0),
|
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|
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*
|
|
*
|
|
* def decision_function( # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
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|
* np.ndarray[np.int32_t, ndim=1, mode='c'] support,
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/* "sklearn/svm/libsvm.pyx":459
|
|
* double C=1., double nu=0.5, double epsilon=0.1,
|
|
* np.ndarray[np.int32_t, ndim=1, mode='c']
|
|
* class_weight_label=np.empty(0, dtype=np.int32), # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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* class_weight=np.empty(0),
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/* "sklearn/svm/libsvm.pyx":461
|
|
* class_weight_label=np.empty(0, dtype=np.int32),
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
|
|
* class_weight=np.empty(0), # <<<<<<<<<<<<<<
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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* sample_weight=np.empty(0),
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/* "sklearn/svm/libsvm.pyx":463
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|
* class_weight=np.empty(0),
|
|
* np.ndarray[np.float64_t, ndim=1, mode='c']
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* sample_weight=np.empty(0), # <<<<<<<<<<<<<<
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* int shrinking=0, int probability=0, double cache_size=100.,
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* int max_iter=-1):
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/* "sklearn/svm/libsvm.pyx":452
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*
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*
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* def cross_validation( # <<<<<<<<<<<<<<
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* np.ndarray[np.float64_t, ndim=2, mode='c'] X,
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*/
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* np.ndarray[np.float64_t, ndim=1, mode='c'] intercept,
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* np.ndarray[np.int32_t, ndim=1, mode='c'] label,
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* np.ndarray[np.float64_t, ndim=1, mode='c'] probB=np.empty(0),
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* np.ndarray[np.int32_t, ndim=1, mode='c'] label,
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|
PyObject *values[],
|
|
Py_ssize_t num_pos_args,
|
|
const char* function_name)
|
|
{
|
|
PyObject *key = 0, *value = 0;
|
|
Py_ssize_t pos = 0;
|
|
PyObject*** name;
|
|
PyObject*** first_kw_arg = argnames + num_pos_args;
|
|
while (PyDict_Next(kwds, &pos, &key, &value)) {
|
|
name = first_kw_arg;
|
|
while (*name && (**name != key)) name++;
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
continue;
|
|
}
|
|
name = first_kw_arg;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
|
|
while (*name) {
|
|
if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
|
|
&& _PyString_Eq(**name, key)) {
|
|
values[name-argnames] = value;
|
|
break;
|
|
}
|
|
name++;
|
|
}
|
|
if (*name) continue;
|
|
else {
|
|
PyObject*** argname = argnames;
|
|
while (argname != first_kw_arg) {
|
|
if ((**argname == key) || (
|
|
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
|
|
&& _PyString_Eq(**argname, key))) {
|
|
goto arg_passed_twice;
|
|
}
|
|
argname++;
|
|
}
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyUnicode_Check(key))) {
|
|
while (*name) {
|
|
int cmp = (**name == key) ? 0 :
|
|
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
|
|
(PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
|
|
#endif
|
|
PyUnicode_Compare(**name, key);
|
|
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
|
|
if (cmp == 0) {
|
|
values[name-argnames] = value;
|
|
break;
|
|
}
|
|
name++;
|
|
}
|
|
if (*name) continue;
|
|
else {
|
|
PyObject*** argname = argnames;
|
|
while (argname != first_kw_arg) {
|
|
int cmp = (**argname == key) ? 0 :
|
|
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
|
|
(PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
|
|
#endif
|
|
PyUnicode_Compare(**argname, key);
|
|
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
|
|
if (cmp == 0) goto arg_passed_twice;
|
|
argname++;
|
|
}
|
|
}
|
|
} else
|
|
goto invalid_keyword_type;
|
|
if (kwds2) {
|
|
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
|
|
} else {
|
|
goto invalid_keyword;
|
|
}
|
|
}
|
|
return 0;
|
|
arg_passed_twice:
|
|
__Pyx_RaiseDoubleKeywordsError(function_name, key);
|
|
goto bad;
|
|
invalid_keyword_type:
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%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 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;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
|
|
unsigned int n = 1;
|
|
return *(unsigned char*)(&n) != 0;
|
|
}
|
|
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
|
|
__Pyx_BufFmt_StackElem* stack,
|
|
__Pyx_TypeInfo* type) {
|
|
stack[0].field = &ctx->root;
|
|
stack[0].parent_offset = 0;
|
|
ctx->root.type = type;
|
|
ctx->root.name = "buffer dtype";
|
|
ctx->root.offset = 0;
|
|
ctx->head = stack;
|
|
ctx->head->field = &ctx->root;
|
|
ctx->fmt_offset = 0;
|
|
ctx->head->parent_offset = 0;
|
|
ctx->new_packmode = '@';
|
|
ctx->enc_packmode = '@';
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
ctx->is_valid_array = 0;
|
|
ctx->struct_alignment = 0;
|
|
while (type->typegroup == 'S') {
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = 0;
|
|
type = type->fields->type;
|
|
}
|
|
}
|
|
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
|
|
int count;
|
|
const char* t = *ts;
|
|
if (*t < '0' || *t > '9') {
|
|
return -1;
|
|
} else {
|
|
count = *t++ - '0';
|
|
while (*t >= '0' && *t < '9') {
|
|
count *= 10;
|
|
count += *t++ - '0';
|
|
}
|
|
}
|
|
*ts = t;
|
|
return count;
|
|
}
|
|
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
|
|
int number = __Pyx_BufFmt_ParseNumber(ts);
|
|
if (number == -1) /* First char was not a digit */
|
|
PyErr_Format(PyExc_ValueError,\
|
|
"Does not understand character buffer dtype format string ('%c')", **ts);
|
|
return number;
|
|
}
|
|
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Unexpected format string character: '%c'", ch);
|
|
}
|
|
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': return "'char'";
|
|
case 'b': return "'signed char'";
|
|
case 'B': return "'unsigned char'";
|
|
case 'h': return "'short'";
|
|
case 'H': return "'unsigned short'";
|
|
case 'i': return "'int'";
|
|
case 'I': return "'unsigned int'";
|
|
case 'l': return "'long'";
|
|
case 'L': return "'unsigned long'";
|
|
case 'q': return "'long long'";
|
|
case 'Q': return "'unsigned long long'";
|
|
case 'f': return (is_complex ? "'complex float'" : "'float'");
|
|
case 'd': return (is_complex ? "'complex double'" : "'double'");
|
|
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
|
|
case 'T': return "a struct";
|
|
case 'O': return "Python object";
|
|
case 'P': return "a pointer";
|
|
case 's': case 'p': return "a string";
|
|
case 0: return "end";
|
|
default: return "unparseable format string";
|
|
}
|
|
}
|
|
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return 2;
|
|
case 'i': case 'I': case 'l': case 'L': return 4;
|
|
case 'q': case 'Q': return 8;
|
|
case 'f': return (is_complex ? 8 : 4);
|
|
case 'd': return (is_complex ? 16 : 8);
|
|
case 'g': {
|
|
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
|
|
return 0;
|
|
}
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return sizeof(short);
|
|
case 'i': case 'I': return sizeof(int);
|
|
case 'l': case 'L': return sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
|
|
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
|
|
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
typedef struct { char c; short x; } __Pyx_st_short;
|
|
typedef struct { char c; int x; } __Pyx_st_int;
|
|
typedef struct { char c; long x; } __Pyx_st_long;
|
|
typedef struct { char c; float x; } __Pyx_st_float;
|
|
typedef struct { char c; double x; } __Pyx_st_double;
|
|
typedef struct { char c; long double x; } __Pyx_st_longdouble;
|
|
typedef struct { char c; void *x; } __Pyx_st_void_p;
|
|
#ifdef HAVE_LONG_LONG
|
|
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
|
|
#endif
|
|
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
|
|
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
|
|
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
|
|
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
|
|
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
|
|
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
/* These are for computing the padding at the end of the struct to align
|
|
on the first member of the struct. This will probably the same as above,
|
|
but we don't have any guarantees.
|
|
*/
|
|
typedef struct { short x; char c; } __Pyx_pad_short;
|
|
typedef struct { int x; char c; } __Pyx_pad_int;
|
|
typedef struct { long x; char c; } __Pyx_pad_long;
|
|
typedef struct { float x; char c; } __Pyx_pad_float;
|
|
typedef struct { double x; char c; } __Pyx_pad_double;
|
|
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
|
|
typedef struct { void *x; char c; } __Pyx_pad_void_p;
|
|
#ifdef HAVE_LONG_LONG
|
|
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
|
|
#endif
|
|
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
|
|
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
|
|
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
|
|
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
|
|
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
|
|
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
|
|
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c':
|
|
return 'H';
|
|
case 'b': case 'h': case 'i':
|
|
case 'l': case 'q': case 's': case 'p':
|
|
return 'I';
|
|
case 'B': case 'H': case 'I': case 'L': case 'Q':
|
|
return 'U';
|
|
case 'f': case 'd': case 'g':
|
|
return (is_complex ? 'C' : 'R');
|
|
case 'O':
|
|
return 'O';
|
|
case 'P':
|
|
return 'P';
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
|
|
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
|
|
const char* expected;
|
|
const char* quote;
|
|
if (ctx->head == NULL) {
|
|
expected = "end";
|
|
quote = "";
|
|
} else {
|
|
expected = ctx->head->field->type->name;
|
|
quote = "'";
|
|
}
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected %s%s%s but got %s",
|
|
quote, expected, quote,
|
|
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
|
|
} else {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_StructField* parent = (ctx->head - 1)->field;
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
|
|
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
|
|
parent->type->name, field->name);
|
|
}
|
|
}
|
|
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
|
|
char group;
|
|
size_t size, offset, arraysize = 1;
|
|
if (ctx->enc_type == 0) return 0;
|
|
if (ctx->head->field->type->arraysize[0]) {
|
|
int i, ndim = 0;
|
|
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
|
|
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
|
|
ndim = 1;
|
|
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Expected a dimension of size %zu, got %zu",
|
|
ctx->head->field->type->arraysize[0], ctx->enc_count);
|
|
return -1;
|
|
}
|
|
}
|
|
if (!ctx->is_valid_array) {
|
|
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
|
|
ctx->head->field->type->ndim, ndim);
|
|
return -1;
|
|
}
|
|
for (i = 0; i < ctx->head->field->type->ndim; i++) {
|
|
arraysize *= ctx->head->field->type->arraysize[i];
|
|
}
|
|
ctx->is_valid_array = 0;
|
|
ctx->enc_count = 1;
|
|
}
|
|
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
|
|
do {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_TypeInfo* type = field->type;
|
|
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
|
|
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
|
|
} else {
|
|
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
|
|
}
|
|
if (ctx->enc_packmode == '@') {
|
|
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
|
|
size_t align_mod_offset;
|
|
if (align_at == 0) return -1;
|
|
align_mod_offset = ctx->fmt_offset % align_at;
|
|
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
|
|
if (ctx->struct_alignment == 0)
|
|
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
|
|
ctx->is_complex);
|
|
}
|
|
if (type->size != size || type->typegroup != group) {
|
|
if (type->typegroup == 'C' && type->fields != NULL) {
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = parent_offset;
|
|
continue;
|
|
}
|
|
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
|
|
} else {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
}
|
|
offset = ctx->head->parent_offset + field->offset;
|
|
if (ctx->fmt_offset != offset) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
|
|
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
|
|
return -1;
|
|
}
|
|
ctx->fmt_offset += size;
|
|
if (arraysize)
|
|
ctx->fmt_offset += (arraysize - 1) * size;
|
|
--ctx->enc_count; /* Consume from buffer string */
|
|
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 CYTHON_INLINE PyObject *
|
|
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
|
|
{
|
|
const char *ts = *tsp;
|
|
int i = 0, number;
|
|
int ndim = ctx->head->field->type->ndim;
|
|
;
|
|
++ts;
|
|
if (ctx->new_count != 1) {
|
|
PyErr_SetString(PyExc_ValueError,
|
|
"Cannot handle repeated arrays in format string");
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
while (*ts && *ts != ')') {
|
|
if (isspace(*ts))
|
|
continue;
|
|
number = __Pyx_BufFmt_ExpectNumber(&ts);
|
|
if (number == -1) return NULL;
|
|
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
|
|
return PyErr_Format(PyExc_ValueError,
|
|
"Expected a dimension of size %zu, got %d",
|
|
ctx->head->field->type->arraysize[i], number);
|
|
if (*ts != ',' && *ts != ')')
|
|
return PyErr_Format(PyExc_ValueError,
|
|
"Expected a comma in format string, got '%c'", *ts);
|
|
if (*ts == ',') ts++;
|
|
i++;
|
|
}
|
|
if (i != ndim)
|
|
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
|
|
ctx->head->field->type->ndim, i);
|
|
if (!*ts) {
|
|
PyErr_SetString(PyExc_ValueError,
|
|
"Unexpected end of format string, expected ')'");
|
|
return NULL;
|
|
}
|
|
ctx->is_valid_array = 1;
|
|
ctx->new_count = 1;
|
|
*tsp = ++ts;
|
|
return Py_None;
|
|
}
|
|
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
|
|
int got_Z = 0;
|
|
while (1) {
|
|
switch(*ts) {
|
|
case 0:
|
|
if (ctx->enc_type != 0 && ctx->head == NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
if (ctx->head != NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
return ts;
|
|
case ' ':
|
|
case 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;
|
|
size_t struct_alignment = ctx->struct_alignment;
|
|
ctx->new_count = 1;
|
|
++ts;
|
|
if (*ts != '{') {
|
|
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_type = 0; /* Erase processed last struct element */
|
|
ctx->enc_count = 0;
|
|
ctx->struct_alignment = 0;
|
|
++ts;
|
|
ts_after_sub = ts;
|
|
for (i = 0; i != struct_count; ++i) {
|
|
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
|
|
if (!ts_after_sub) return NULL;
|
|
}
|
|
ts = ts_after_sub;
|
|
if (struct_alignment) ctx->struct_alignment = struct_alignment;
|
|
}
|
|
break;
|
|
case '}': /* end of substruct; either repeat or move on */
|
|
{
|
|
size_t alignment = ctx->struct_alignment;
|
|
++ts;
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_type = 0; /* Erase processed last struct element */
|
|
if (alignment && ctx->fmt_offset % alignment) {
|
|
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
|
|
}
|
|
}
|
|
return ts;
|
|
case 'x':
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->fmt_offset += ctx->new_count;
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->enc_packmode = ctx->new_packmode;
|
|
++ts;
|
|
break;
|
|
case 'Z':
|
|
got_Z = 1;
|
|
++ts;
|
|
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
|
|
return NULL;
|
|
} /* 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': case 's': case 'p':
|
|
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
|
|
ctx->enc_packmode == ctx->new_packmode) {
|
|
ctx->enc_count += ctx->new_count;
|
|
} else {
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_count = ctx->new_count;
|
|
ctx->enc_packmode = ctx->new_packmode;
|
|
ctx->enc_type = *ts;
|
|
ctx->is_complex = got_Z;
|
|
}
|
|
++ts;
|
|
ctx->new_count = 1;
|
|
got_Z = 0;
|
|
break;
|
|
case ':':
|
|
++ts;
|
|
while(*ts != ':') ++ts;
|
|
++ts;
|
|
break;
|
|
case '(':
|
|
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
|
|
break;
|
|
default:
|
|
{
|
|
int number = __Pyx_BufFmt_ExpectNumber(&ts);
|
|
if (number == -1) return NULL;
|
|
ctx->new_count = (size_t)number;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
|
|
buf->buf = NULL;
|
|
buf->obj = NULL;
|
|
buf->strides = __Pyx_zeros;
|
|
buf->shape = __Pyx_zeros;
|
|
buf->suboffsets = __Pyx_minusones;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
|
|
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
|
|
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
|
|
{
|
|
if (obj == Py_None || obj == NULL) {
|
|
__Pyx_ZeroBuffer(buf);
|
|
return 0;
|
|
}
|
|
buf->buf = NULL;
|
|
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
|
|
if (buf->ndim != nd) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer has wrong number of dimensions (expected %d, got %d)",
|
|
nd, buf->ndim);
|
|
goto fail;
|
|
}
|
|
if (!cast) {
|
|
__Pyx_BufFmt_Context ctx;
|
|
__Pyx_BufFmt_Init(&ctx, stack, dtype);
|
|
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
|
|
}
|
|
if ((unsigned)buf->itemsize != dtype->size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
|
|
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
|
|
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
|
|
goto fail;
|
|
}
|
|
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
|
|
return 0;
|
|
fail:;
|
|
__Pyx_ZeroBuffer(buf);
|
|
return -1;
|
|
}
|
|
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
|
|
if (info->buf == NULL) return;
|
|
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
|
|
__Pyx_ReleaseBuffer(info);
|
|
}
|
|
|
|
static CYTHON_INLINE 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_RaiseBufferFallbackError(void) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer acquisition failed on assignment; and then reacquiring the old buffer failed too!");
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
tmp_type = tstate->curexc_type;
|
|
tmp_value = tstate->curexc_value;
|
|
tmp_tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = type;
|
|
tstate->curexc_value = value;
|
|
tstate->curexc_traceback = tb;
|
|
Py_XDECREF(tmp_type);
|
|
Py_XDECREF(tmp_value);
|
|
Py_XDECREF(tmp_tb);
|
|
#else
|
|
PyErr_Restore(type, value, tb);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
*type = tstate->curexc_type;
|
|
*value = tstate->curexc_value;
|
|
*tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = 0;
|
|
tstate->curexc_value = 0;
|
|
tstate->curexc_traceback = 0;
|
|
#else
|
|
PyErr_Fetch(type, value, tb);
|
|
#endif
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
|
|
CYTHON_UNUSED PyObject *cause) {
|
|
Py_XINCREF(type);
|
|
if (!value || value == Py_None)
|
|
value = NULL;
|
|
else
|
|
Py_INCREF(value);
|
|
if (!tb || tb == Py_None)
|
|
tb = NULL;
|
|
else {
|
|
Py_INCREF(tb);
|
|
if (!PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto raise_error;
|
|
}
|
|
}
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (PyClass_Check(type)) {
|
|
#else
|
|
if (PyType_Check(type)) {
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_PYPY
|
|
if (!value) {
|
|
Py_INCREF(Py_None);
|
|
value = Py_None;
|
|
}
|
|
#endif
|
|
PyErr_NormalizeException(&type, &value, &tb);
|
|
} else {
|
|
if (value) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto raise_error;
|
|
}
|
|
value = type;
|
|
#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) {
|
|
PyObject* owned_instance = NULL;
|
|
if (tb == Py_None) {
|
|
tb = 0;
|
|
} else if (tb && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto bad;
|
|
}
|
|
if (value == Py_None)
|
|
value = 0;
|
|
if (PyExceptionInstance_Check(type)) {
|
|
if (value) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto bad;
|
|
}
|
|
value = type;
|
|
type = (PyObject*) Py_TYPE(value);
|
|
} else if (PyExceptionClass_Check(type)) {
|
|
PyObject *args;
|
|
if (!value)
|
|
args = PyTuple_New(0);
|
|
else if (PyTuple_Check(value)) {
|
|
Py_INCREF(value);
|
|
args = value;
|
|
}
|
|
else
|
|
args = PyTuple_Pack(1, value);
|
|
if (!args)
|
|
goto bad;
|
|
owned_instance = PyEval_CallObject(type, args);
|
|
Py_DECREF(args);
|
|
if (!owned_instance)
|
|
goto bad;
|
|
value = owned_instance;
|
|
if (!PyExceptionInstance_Check(value)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"calling %R should have returned an instance of "
|
|
"BaseException, not %R",
|
|
type, Py_TYPE(value));
|
|
goto bad;
|
|
}
|
|
} else {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto bad;
|
|
}
|
|
if (cause && cause != Py_None) {
|
|
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;
|
|
}
|
|
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:
|
|
Py_XDECREF(owned_instance);
|
|
return;
|
|
}
|
|
#endif
|
|
|
|
static CYTHON_INLINE long __Pyx_div_long(long a, long b) {
|
|
long q = a / b;
|
|
long r = a - q*b;
|
|
q -= ((r != 0) & ((r ^ b) < 0));
|
|
return q;
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%s to unpack",
|
|
index, (index == 1) ? "" : "s");
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
|
|
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_IterFinish(void) {
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
PyObject* exc_type = tstate->curexc_type;
|
|
if (unlikely(exc_type)) {
|
|
if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
|
|
PyObject *exc_value, *exc_tb;
|
|
exc_value = tstate->curexc_value;
|
|
exc_tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = 0;
|
|
tstate->curexc_value = 0;
|
|
tstate->curexc_traceback = 0;
|
|
Py_DECREF(exc_type);
|
|
Py_XDECREF(exc_value);
|
|
Py_XDECREF(exc_tb);
|
|
return 0;
|
|
} else {
|
|
return -1;
|
|
}
|
|
}
|
|
return 0;
|
|
#else
|
|
if (unlikely(PyErr_Occurred())) {
|
|
if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
|
|
PyErr_Clear();
|
|
return 0;
|
|
} else {
|
|
return -1;
|
|
}
|
|
}
|
|
return 0;
|
|
#endif
|
|
}
|
|
|
|
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
|
|
if (unlikely(retval)) {
|
|
Py_DECREF(retval);
|
|
__Pyx_RaiseTooManyValuesError(expected);
|
|
return -1;
|
|
} else {
|
|
return __Pyx_IterFinish();
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
|
|
CYTHON_UNUSED PyObject *getbuffer_cobj;
|
|
#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_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
|
|
#if PY_VERSION_HEX < 0x02060000
|
|
if (obj->ob_type->tp_dict &&
|
|
(getbuffer_cobj = PyMapping_GetItemString(obj->ob_type->tp_dict,
|
|
"__pyx_getbuffer"))) {
|
|
getbufferproc func;
|
|
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0)
|
|
func = (getbufferproc) PyCapsule_GetPointer(getbuffer_cobj, "getbuffer(obj, view, flags)");
|
|
#else
|
|
func = (getbufferproc) PyCObject_AsVoidPtr(getbuffer_cobj);
|
|
#endif
|
|
Py_DECREF(getbuffer_cobj);
|
|
if (!func)
|
|
goto fail;
|
|
return func(obj, view, flags);
|
|
} else {
|
|
PyErr_Clear();
|
|
}
|
|
#endif
|
|
PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
|
|
#if PY_VERSION_HEX < 0x02060000
|
|
fail:
|
|
#endif
|
|
return -1;
|
|
}
|
|
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
|
|
PyObject *obj = view->obj;
|
|
CYTHON_UNUSED PyObject *releasebuffer_cobj;
|
|
if (!obj) return;
|
|
#if PY_VERSION_HEX >= 0x02060000
|
|
if (PyObject_CheckBuffer(obj)) {
|
|
PyBuffer_Release(view);
|
|
return;
|
|
}
|
|
#endif
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; }
|
|
#if PY_VERSION_HEX < 0x02060000
|
|
if (obj->ob_type->tp_dict &&
|
|
(releasebuffer_cobj = PyMapping_GetItemString(obj->ob_type->tp_dict,
|
|
"__pyx_releasebuffer"))) {
|
|
releasebufferproc func;
|
|
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0)
|
|
func = (releasebufferproc) PyCapsule_GetPointer(releasebuffer_cobj, "releasebuffer(obj, view)");
|
|
#else
|
|
func = (releasebufferproc) PyCObject_AsVoidPtr(releasebuffer_cobj);
|
|
#endif
|
|
Py_DECREF(releasebuffer_cobj);
|
|
if (!func)
|
|
goto fail;
|
|
func(obj, view);
|
|
return;
|
|
} else {
|
|
PyErr_Clear();
|
|
}
|
|
#endif
|
|
goto nofail;
|
|
#if PY_VERSION_HEX < 0x02060000
|
|
fail:
|
|
#endif
|
|
PyErr_WriteUnraisable(obj);
|
|
nofail:
|
|
Py_DECREF(obj);
|
|
view->obj = NULL;
|
|
}
|
|
#endif /* PY_MAJOR_VERSION < 3 */
|
|
|
|
|
|
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
|
|
{
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (level == -1) {
|
|
if (strchr(__Pyx_MODULE_NAME, '.')) {
|
|
/* try package relative import first */
|
|
PyObject *py_level = PyInt_FromLong(1);
|
|
if (!py_level)
|
|
goto bad;
|
|
module = PyObject_CallFunctionObjArgs(py_import,
|
|
name, global_dict, empty_dict, list, py_level, NULL);
|
|
Py_DECREF(py_level);
|
|
if (!module) {
|
|
if (!PyErr_ExceptionMatches(PyExc_ImportError))
|
|
goto bad;
|
|
PyErr_Clear();
|
|
}
|
|
}
|
|
level = 0; /* try absolute import on failure */
|
|
}
|
|
#endif
|
|
if (!module) {
|
|
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;
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject *__Pyx_PyInt_to_py_Py_intptr_t(Py_intptr_t val) {
|
|
const Py_intptr_t neg_one = (Py_intptr_t)-1, const_zero = (Py_intptr_t)0;
|
|
const int is_unsigned = const_zero < neg_one;
|
|
if ((sizeof(Py_intptr_t) == sizeof(char)) ||
|
|
(sizeof(Py_intptr_t) == sizeof(short))) {
|
|
return PyInt_FromLong((long)val);
|
|
} else if ((sizeof(Py_intptr_t) == sizeof(int)) ||
|
|
(sizeof(Py_intptr_t) == sizeof(long))) {
|
|
if (is_unsigned)
|
|
return PyLong_FromUnsignedLong((unsigned long)val);
|
|
else
|
|
return PyInt_FromLong((long)val);
|
|
} else if (sizeof(Py_intptr_t) == sizeof(PY_LONG_LONG)) {
|
|
if (is_unsigned)
|
|
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG)val);
|
|
else
|
|
return PyLong_FromLongLong((PY_LONG_LONG)val);
|
|
} else {
|
|
int one = 1; int little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
return _PyLong_FromByteArray(bytes, sizeof(Py_intptr_t),
|
|
little, !is_unsigned);
|
|
}
|
|
}
|
|
|
|
#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;
|
|
}
|
|
|
|
#ifndef __PYX_HAVE_RT_ImportModule
|
|
#define __PYX_HAVE_RT_ImportModule
|
|
static PyObject *__Pyx_ImportModule(const char *name) {
|
|
PyObject *py_name = 0;
|
|
PyObject *py_module = 0;
|
|
py_name = __Pyx_PyIdentifier_FromString(name);
|
|
if (!py_name)
|
|
goto bad;
|
|
py_module = PyImport_Import(py_name);
|
|
Py_DECREF(py_name);
|
|
return py_module;
|
|
bad:
|
|
Py_XDECREF(py_name);
|
|
return 0;
|
|
}
|
|
#endif
|
|
|
|
#ifndef __PYX_HAVE_RT_ImportType
|
|
#define __PYX_HAVE_RT_ImportType
|
|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
|
|
size_t size, int strict)
|
|
{
|
|
PyObject *py_module = 0;
|
|
PyObject *result = 0;
|
|
PyObject *py_name = 0;
|
|
char warning[200];
|
|
py_module = __Pyx_ImportModule(module_name);
|
|
if (!py_module)
|
|
goto bad;
|
|
py_name = __Pyx_PyIdentifier_FromString(class_name);
|
|
if (!py_name)
|
|
goto bad;
|
|
result = PyObject_GetAttr(py_module, py_name);
|
|
Py_DECREF(py_name);
|
|
py_name = 0;
|
|
Py_DECREF(py_module);
|
|
py_module = 0;
|
|
if (!result)
|
|
goto bad;
|
|
if (!PyType_Check(result)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s.%s is not a type object",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
if (!strict && (size_t)((PyTypeObject *)result)->tp_basicsize > 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 ((size_t)((PyTypeObject *)result)->tp_basicsize != 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
|
|
|
|
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
|
|
int start = 0, mid = 0, end = count - 1;
|
|
if (end >= 0 && code_line > entries[end].code_line) {
|
|
return count;
|
|
}
|
|
while (start < end) {
|
|
mid = (start + end) / 2;
|
|
if (code_line < entries[mid].code_line) {
|
|
end = mid;
|
|
} else if (code_line > entries[mid].code_line) {
|
|
start = mid + 1;
|
|
} else {
|
|
return mid;
|
|
}
|
|
}
|
|
if (code_line <= entries[mid].code_line) {
|
|
return mid;
|
|
} else {
|
|
return mid + 1;
|
|
}
|
|
}
|
|
static PyCodeObject *__pyx_find_code_object(int code_line) {
|
|
PyCodeObject* code_object;
|
|
int pos;
|
|
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
|
|
return NULL;
|
|
}
|
|
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
|
|
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
|
|
return NULL;
|
|
}
|
|
code_object = __pyx_code_cache.entries[pos].code_object;
|
|
Py_INCREF(code_object);
|
|
return code_object;
|
|
}
|
|
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
|
|
int pos, i;
|
|
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
|
|
if (unlikely(!code_line)) {
|
|
return;
|
|
}
|
|
if (unlikely(!entries)) {
|
|
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
|
|
if (likely(entries)) {
|
|
__pyx_code_cache.entries = entries;
|
|
__pyx_code_cache.max_count = 64;
|
|
__pyx_code_cache.count = 1;
|
|
entries[0].code_line = code_line;
|
|
entries[0].code_object = code_object;
|
|
Py_INCREF(code_object);
|
|
}
|
|
return;
|
|
}
|
|
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
|
|
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
|
|
PyCodeObject* tmp = entries[pos].code_object;
|
|
entries[pos].code_object = code_object;
|
|
Py_DECREF(tmp);
|
|
return;
|
|
}
|
|
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
|
|
int new_max = __pyx_code_cache.max_count + 64;
|
|
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
|
|
__pyx_code_cache.entries, new_max*sizeof(__Pyx_CodeObjectCacheEntry));
|
|
if (unlikely(!entries)) {
|
|
return;
|
|
}
|
|
__pyx_code_cache.entries = entries;
|
|
__pyx_code_cache.max_count = new_max;
|
|
}
|
|
for (i=__pyx_code_cache.count; i>pos; i--) {
|
|
entries[i] = entries[i-1];
|
|
}
|
|
entries[pos].code_line = code_line;
|
|
entries[pos].code_object = code_object;
|
|
__pyx_code_cache.count++;
|
|
Py_INCREF(code_object);
|
|
}
|
|
|
|
#include "compile.h"
|
|
#include "frameobject.h"
|
|
#include "traceback.h"
|
|
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
|
|
const char *funcname, int c_line,
|
|
int py_line, const char *filename) {
|
|
PyCodeObject *py_code = 0;
|
|
PyObject *py_srcfile = 0;
|
|
PyObject *py_funcname = 0;
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_srcfile = PyString_FromString(filename);
|
|
#else
|
|
py_srcfile = PyUnicode_FromString(filename);
|
|
#endif
|
|
if (!py_srcfile) goto bad;
|
|
if (c_line) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
|
|
#else
|
|
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
|
|
#endif
|
|
}
|
|
else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromString(funcname);
|
|
#else
|
|
py_funcname = PyUnicode_FromString(funcname);
|
|
#endif
|
|
}
|
|
if (!py_funcname) goto bad;
|
|
py_code = __Pyx_PyCode_New(
|
|
0, /*int argcount,*/
|
|
0, /*int kwonlyargcount,*/
|
|
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,*/
|
|
py_line, /*int firstlineno,*/
|
|
__pyx_empty_bytes /*PyObject *lnotab*/
|
|
);
|
|
Py_DECREF(py_srcfile);
|
|
Py_DECREF(py_funcname);
|
|
return py_code;
|
|
bad:
|
|
Py_XDECREF(py_srcfile);
|
|
Py_XDECREF(py_funcname);
|
|
return NULL;
|
|
}
|
|
static void __Pyx_AddTraceback(const char *funcname, int c_line,
|
|
int py_line, const char *filename) {
|
|
PyCodeObject *py_code = 0;
|
|
PyObject *py_globals = 0;
|
|
PyFrameObject *py_frame = 0;
|
|
py_code = __pyx_find_code_object(c_line ? c_line : py_line);
|
|
if (!py_code) {
|
|
py_code = __Pyx_CreateCodeObjectForTraceback(
|
|
funcname, c_line, py_line, filename);
|
|
if (!py_code) goto bad;
|
|
__pyx_insert_code_object(c_line ? c_line : py_line, py_code);
|
|
}
|
|
py_globals = PyModule_GetDict(__pyx_m);
|
|
if (!py_globals) 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 = py_line;
|
|
PyTraceBack_Here(py_frame);
|
|
bad:
|
|
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 */
|