7201 lines
307 KiB
C
7201 lines
307 KiB
C
/* Generated by Cython 0.12.1 on Fri Sep 2 11:08:35 2011 */
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#define PY_SSIZE_T_CLEAN
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#include "Python.h"
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#include "structmember.h"
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#ifndef Py_PYTHON_H
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#error Python headers needed to compile C extensions, please install development version of Python.
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#else
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#ifndef PY_LONG_LONG
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#define PY_LONG_LONG LONG_LONG
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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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#if PY_VERSION_HEX < 0x02040000
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#define METH_COEXIST 0
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#define PyDict_CheckExact(op) (Py_TYPE(op) == &PyDict_Type)
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#define PyDict_Contains(d,o) PySequence_Contains(d,o)
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#endif
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#if PY_VERSION_HEX < 0x02050000
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typedef int Py_ssize_t;
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#define PY_SSIZE_T_MAX INT_MAX
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#define PY_SSIZE_T_MIN INT_MIN
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#define PY_FORMAT_SIZE_T ""
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#define PyInt_FromSsize_t(z) PyInt_FromLong(z)
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#define PyInt_AsSsize_t(o) PyInt_AsLong(o)
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#define PyNumber_Index(o) PyNumber_Int(o)
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#define PyIndex_Check(o) PyNumber_Check(o)
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#define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message)
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#endif
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#if PY_VERSION_HEX < 0x02060000
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#define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt)
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#define Py_TYPE(ob) (((PyObject*)(ob))->ob_type)
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#define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size)
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#define PyVarObject_HEAD_INIT(type, size) \
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PyObject_HEAD_INIT(type) size,
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#define PyType_Modified(t)
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typedef struct {
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void *buf;
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PyObject *obj;
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Py_ssize_t len;
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Py_ssize_t itemsize;
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int readonly;
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int ndim;
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char *format;
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Py_ssize_t *shape;
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Py_ssize_t *strides;
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Py_ssize_t *suboffsets;
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void *internal;
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} Py_buffer;
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#define PyBUF_SIMPLE 0
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#define PyBUF_WRITABLE 0x0001
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#define PyBUF_FORMAT 0x0004
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#define PyBUF_ND 0x0008
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#define PyBUF_STRIDES (0x0010 | PyBUF_ND)
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#define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES)
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#define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES)
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#define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES)
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#endif
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#if PY_MAJOR_VERSION < 3
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#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
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#else
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define Py_TPFLAGS_CHECKTYPES 0
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#define Py_TPFLAGS_HAVE_INDEX 0
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#endif
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#if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3)
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#define Py_TPFLAGS_HAVE_NEWBUFFER 0
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyBaseString_Type PyUnicode_Type
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#define PyString_CheckExact PyUnicode_CheckExact
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#define PyBytes_Type PyString_Type
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#define PyBytes_CheckExact PyString_CheckExact
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#define PyInt_Type PyLong_Type
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#define PyInt_Check(op) PyLong_Check(op)
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#define PyInt_CheckExact(op) PyLong_CheckExact(op)
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#define PyInt_FromString PyLong_FromString
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#define PyInt_FromUnicode PyLong_FromUnicode
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#define PyInt_FromLong PyLong_FromLong
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#define PyInt_FromSize_t PyLong_FromSize_t
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#define PyInt_FromSsize_t PyLong_FromSsize_t
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#define PyInt_AsLong PyLong_AsLong
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#define PyInt_AS_LONG PyLong_AS_LONG
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#define PyInt_AsSsize_t PyLong_AsSsize_t
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#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
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#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#else
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyMethod_New(func, self, klass) PyInstanceMethod_New(func)
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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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#else
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#define _USE_MATH_DEFINES
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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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#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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#include <math.h>
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#define __PYX_HAVE_API__sklearn__linear_model__sgd_fast_sparse
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#include "stdlib.h"
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#include "stdio.h"
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#include "numpy/arrayobject.h"
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#include "numpy/ufuncobject.h"
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#include "math.h"
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#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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#else
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#define CYTHON_INLINE
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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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#if PY_MAJOR_VERSION < 3
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#define __Pyx_PyBytes_FromString PyString_FromString
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#define __Pyx_PyBytes_FromStringAndSize PyString_FromStringAndSize
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#define __Pyx_PyBytes_AsString PyString_AsString
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#else
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#define __Pyx_PyBytes_FromString PyBytes_FromString
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#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
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#define __Pyx_PyBytes_AsString PyBytes_AsString
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#endif
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#define __Pyx_PyBytes_FromUString(s) __Pyx_PyBytes_FromString((char*)s)
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#define __Pyx_PyBytes_AsUString(s) ((unsigned char*) __Pyx_PyBytes_AsString(s))
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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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#if !defined(T_PYSSIZET)
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#if PY_VERSION_HEX < 0x02050000
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#define T_PYSSIZET T_INT
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#elif !defined(T_LONGLONG)
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#define T_PYSSIZET \
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((sizeof(Py_ssize_t) == sizeof(int)) ? T_INT : \
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((sizeof(Py_ssize_t) == sizeof(long)) ? T_LONG : -1))
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#else
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#define T_PYSSIZET \
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((sizeof(Py_ssize_t) == sizeof(int)) ? T_INT : \
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((sizeof(Py_ssize_t) == sizeof(long)) ? T_LONG : \
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((sizeof(Py_ssize_t) == sizeof(PY_LONG_LONG)) ? T_LONGLONG : -1)))
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#endif
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#endif
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#if !defined(T_ULONGLONG)
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#define __Pyx_T_UNSIGNED_INT(x) \
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((sizeof(x) == sizeof(unsigned char)) ? T_UBYTE : \
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((sizeof(x) == sizeof(unsigned short)) ? T_USHORT : \
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((sizeof(x) == sizeof(unsigned int)) ? T_UINT : \
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((sizeof(x) == sizeof(unsigned long)) ? T_ULONG : -1))))
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#else
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#define __Pyx_T_UNSIGNED_INT(x) \
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((sizeof(x) == sizeof(unsigned char)) ? T_UBYTE : \
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((sizeof(x) == sizeof(unsigned short)) ? T_USHORT : \
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((sizeof(x) == sizeof(unsigned int)) ? T_UINT : \
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((sizeof(x) == sizeof(unsigned long)) ? T_ULONG : \
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((sizeof(x) == sizeof(unsigned PY_LONG_LONG)) ? T_ULONGLONG : -1)))))
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#endif
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#if !defined(T_LONGLONG)
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#define __Pyx_T_SIGNED_INT(x) \
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((sizeof(x) == sizeof(char)) ? T_BYTE : \
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((sizeof(x) == sizeof(short)) ? T_SHORT : \
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((sizeof(x) == sizeof(int)) ? T_INT : \
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((sizeof(x) == sizeof(long)) ? T_LONG : -1))))
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#else
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#define __Pyx_T_SIGNED_INT(x) \
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((sizeof(x) == sizeof(char)) ? T_BYTE : \
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((sizeof(x) == sizeof(short)) ? T_SHORT : \
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((sizeof(x) == sizeof(int)) ? T_INT : \
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((sizeof(x) == sizeof(long)) ? T_LONG : \
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((sizeof(x) == sizeof(PY_LONG_LONG)) ? T_LONGLONG : -1)))))
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#endif
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#define __Pyx_T_FLOATING(x) \
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((sizeof(x) == sizeof(float)) ? T_FLOAT : \
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((sizeof(x) == sizeof(double)) ? T_DOUBLE : -1))
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#if !defined(T_SIZET)
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#if !defined(T_ULONGLONG)
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#define T_SIZET \
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((sizeof(size_t) == sizeof(unsigned int)) ? T_UINT : \
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((sizeof(size_t) == sizeof(unsigned long)) ? T_ULONG : -1))
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#else
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#define T_SIZET \
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((sizeof(size_t) == sizeof(unsigned int)) ? T_UINT : \
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((sizeof(size_t) == sizeof(unsigned long)) ? T_ULONG : \
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((sizeof(size_t) == sizeof(unsigned PY_LONG_LONG)) ? T_ULONGLONG : -1)))
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#endif
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#endif
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static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
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static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
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static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*);
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#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
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#ifdef __GNUC__
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/* Test for GCC > 2.95 */
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#if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))
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#define likely(x) __builtin_expect(!!(x), 1)
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#define unlikely(x) __builtin_expect(!!(x), 0)
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#else /* __GNUC__ > 2 ... */
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#define likely(x) (x)
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#define unlikely(x) (x)
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#endif /* __GNUC__ > 2 ... */
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#else /* __GNUC__ */
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#define likely(x) (x)
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#define unlikely(x) (x)
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#endif /* __GNUC__ */
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static PyObject *__pyx_m;
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static PyObject *__pyx_b;
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static PyObject *__pyx_empty_tuple;
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static PyObject *__pyx_empty_bytes;
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static int __pyx_lineno;
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static int __pyx_clineno = 0;
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static const char * __pyx_cfilenm= __FILE__;
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static const char *__pyx_filename;
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static const char **__pyx_f;
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#if !defined(CYTHON_CCOMPLEX)
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#if defined(__cplusplus)
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#define CYTHON_CCOMPLEX 1
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#elif defined(_Complex_I)
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#define CYTHON_CCOMPLEX 1
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#else
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#define CYTHON_CCOMPLEX 0
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#endif
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#endif
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#if CYTHON_CCOMPLEX
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#ifdef __cplusplus
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#include <complex>
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#else
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#include <complex.h>
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#endif
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#endif
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#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
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#undef _Complex_I
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#define _Complex_I 1.0fj
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#endif
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typedef npy_int8 __pyx_t_5numpy_int8_t;
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typedef npy_int16 __pyx_t_5numpy_int16_t;
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typedef npy_int32 __pyx_t_5numpy_int32_t;
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typedef npy_int64 __pyx_t_5numpy_int64_t;
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typedef npy_uint8 __pyx_t_5numpy_uint8_t;
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typedef npy_uint16 __pyx_t_5numpy_uint16_t;
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typedef npy_uint32 __pyx_t_5numpy_uint32_t;
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typedef npy_uint64 __pyx_t_5numpy_uint64_t;
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typedef npy_float32 __pyx_t_5numpy_float32_t;
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typedef npy_float64 __pyx_t_5numpy_float64_t;
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typedef npy_long __pyx_t_5numpy_int_t;
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typedef npy_longlong __pyx_t_5numpy_long_t;
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typedef npy_intp __pyx_t_5numpy_intp_t;
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typedef npy_uintp __pyx_t_5numpy_uintp_t;
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typedef npy_ulong __pyx_t_5numpy_uint_t;
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typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
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typedef npy_double __pyx_t_5numpy_float_t;
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typedef npy_double __pyx_t_5numpy_double_t;
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typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
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typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_12linear_model_8sgd_fast_DOUBLE;
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typedef __pyx_t_5numpy_int32_t __pyx_t_7sklearn_12linear_model_8sgd_fast_INTEGER;
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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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#else
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typedef double _Complex __pyx_t_double_complex;
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#endif
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#else
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typedef struct { double real, imag; } __pyx_t_double_complex;
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#endif
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/* Type declarations */
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typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
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typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
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typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
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typedef npy_cdouble __pyx_t_5numpy_complex_t;
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":20
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* # -----------------------------------------
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*
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* cdef class LossFunction: # <<<<<<<<<<<<<<
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* cpdef double loss(self, double p, double y)
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* cpdef double dloss(self, double p, double y)
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*/
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction {
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PyObject_HEAD
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struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_vtab;
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};
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":24
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* cpdef double dloss(self, double p, double y)
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*
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* cdef class Regression(LossFunction): # <<<<<<<<<<<<<<
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* cpdef double loss(self,double p, double y)
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* cpdef double dloss(self,double p, double y)
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*/
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression {
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|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
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};
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":48
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* cpdef double dloss(self, double p, double y)
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*
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* cdef class Huber(Regression): # <<<<<<<<<<<<<<
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* cdef double c
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* cpdef double loss(self, double p, double y)
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*/
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber {
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
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double c;
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};
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":28
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* cpdef double dloss(self,double p, double y)
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*
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* cdef class Classification(LossFunction): # <<<<<<<<<<<<<<
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* cpdef double loss(self, double p, double y)
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* cpdef double dloss(self, double p, double y)
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*/
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification {
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
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};
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":40
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* cpdef double dloss(self, double p, double y)
|
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*
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* cdef class Log(Classification): # <<<<<<<<<<<<<<
|
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* cpdef double loss(self, double p, double y)
|
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* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":36
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class Hinge(Classification): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":32
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class ModifiedHuber(Classification): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":44
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class SquaredLoss(Regression): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLoss {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
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};
|
|
|
|
|
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":20
|
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* # -----------------------------------------
|
|
*
|
|
* cdef class LossFunction: # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction {
|
|
double (*loss)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch);
|
|
double (*dloss)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch);
|
|
};
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|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunction;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":24
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class Regression(LossFunction): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self,double p, double y)
|
|
* cpdef double dloss(self,double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
|
|
};
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|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":44
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class SquaredLoss(Regression): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredLoss {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredLoss *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredLoss;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":28
|
|
* cpdef double dloss(self,double p, double y)
|
|
*
|
|
* cdef class Classification(LossFunction): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":32
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class ModifiedHuber(Classification): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_ModifiedHuber {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_ModifiedHuber *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ModifiedHuber;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":40
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class Log(Classification): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Log {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Log *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Log;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":48
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class Huber(Regression): # <<<<<<<<<<<<<<
|
|
* cdef double c
|
|
* cpdef double loss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Huber {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Huber *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Huber;
|
|
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast.pxd":36
|
|
* cpdef double dloss(self, double p, double y)
|
|
*
|
|
* cdef class Hinge(Classification): # <<<<<<<<<<<<<<
|
|
* cpdef double loss(self, double p, double y)
|
|
* cpdef double dloss(self, double p, double y)
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Hinge {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
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};
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static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Hinge *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge;
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void (*GOTREF)(void*, PyObject*, int);
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void (*GIVEREF)(void*, PyObject*, int);
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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_RaiseBufferFallbackError(void); /*proto*/
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static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
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PyObject *r;
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if (!j) return NULL;
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__Pyx_GetItemInt_List_Fast(o, i, size <= sizeof(long)) : \
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__Pyx_GetItemInt_Generic(o, to_py_func(i)))
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__Pyx_GetItemInt_Generic(o, to_py_func(i)))
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#define __Pyx_GetItemInt(o, i, size, to_py_func) ((size <= sizeof(Py_ssize_t)) ? \
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__Pyx_GetItemInt_Fast(o, i, size <= sizeof(long)) : \
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__Pyx_GetItemInt_Generic(o, to_py_func(i)))
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PyObject *r;
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Py_INCREF(r);
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Py_INCREF(r);
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static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
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static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(void);
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static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); /*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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Py_ssize_t __Pyx_zeros[] = {0};
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Py_ssize_t __Pyx_minusones[] = {-1};
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static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list); /*proto*/
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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_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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/*static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex);*/
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static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
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#define __Pyx_c_eq(a, b) ((a)==(b))
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/* Module declarations from python_buffer */
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static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *, PyObject *); /*proto*/
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/* Module declarations from cython */
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static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction = 0;
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/* Module declarations from sklearn.linear_model.sgd_fast_sparse */
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static CYTHON_INLINE double __pyx_f_7sklearn_12linear_model_15sgd_fast_sparse_max(double, double); /*proto*/
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int __pyx_module_is_main_sklearn__linear_model__sgd_fast_sparse = 0;
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/* Implementation of sklearn.linear_model.sgd_fast_sparse */
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static PyObject *__pyx_builtin_range;
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static PyObject *__pyx_builtin_RuntimeError;
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static char __pyx_k_1[] = "-- Epoch %d";
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static char __pyx_k__Zg[] = "Zg";
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static char __pyx_k__any[] = "any";
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static char __pyx_k__buf[] = "buf";
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static char __pyx_k__obj[] = "obj";
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static char __pyx_k__sys[] = "sys";
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static char __pyx_k__base[] = "base";
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static char __pyx_k__data[] = "data";
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static char __pyx_k__eta0[] = "eta0";
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static char __pyx_k__loss[] = "loss";
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static char __pyx_k__seed[] = "seed";
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static char __pyx_k__time[] = "time";
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static char __pyx_k__alpha[] = "alpha";
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static char __pyx_k__descr[] = "descr";
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static char __pyx_k__int32[] = "int32";
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static char __pyx_k__isinf[] = "isinf";
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static char __pyx_k__numpy[] = "numpy";
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static char __pyx_k__ValueError[] = "ValueError";
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static char __pyx_k__RuntimeError[] = "RuntimeError";
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static PyObject *__pyx_kp_s_1;
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static PyObject *__pyx_kp_u_10;
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static PyObject *__pyx_kp_u_11;
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static PyObject *__pyx_kp_u_9;
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static PyObject *__pyx_n_s__ValueError;
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static PyObject *__pyx_n_s__X_data;
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static PyObject *__pyx_n_s__Y;
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static PyObject *__pyx_n_s____main__;
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static PyObject *__pyx_n_s__alpha;
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static PyObject *__pyx_n_s__base;
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static PyObject *__pyx_n_s__buf;
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static PyObject *__pyx_n_s__byteorder;
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static PyObject *__pyx_n_s__c;
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static PyObject *__pyx_n_s__data;
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static PyObject *__pyx_n_s__descr;
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static PyObject *__pyx_n_s__dloss;
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static PyObject *__pyx_n_s__dtype;
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static PyObject *__pyx_n_s__fields;
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static PyObject *__pyx_n_s__fit_intercept;
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static PyObject *__pyx_n_s__float64;
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static PyObject *__pyx_n_s__format;
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static PyObject *__pyx_n_s__intercept;
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static PyObject *__pyx_n_s__isinf;
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static PyObject *__pyx_n_s__isnan;
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static PyObject *__pyx_n_s__itemsize;
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static PyObject *__pyx_n_s__learning_rate;
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static PyObject *__pyx_n_s__loss;
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static PyObject *__pyx_n_s__n_iter;
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static PyObject *__pyx_n_s__names;
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static PyObject *__pyx_n_s__nonzero;
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static PyObject *__pyx_n_s__np;
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static PyObject *__pyx_n_s__numpy;
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static PyObject *__pyx_n_s__obj;
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static PyObject *__pyx_n_s__order;
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static PyObject *__pyx_n_s__penalty_type;
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static PyObject *__pyx_n_s__plain_sgd;
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static PyObject *__pyx_n_s__power_t;
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static PyObject *__pyx_n_s__random;
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static PyObject *__pyx_n_s__range;
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static PyObject *__pyx_n_s__readonly;
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static PyObject *__pyx_n_s__rho;
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static PyObject *__pyx_n_s__sample_weight;
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static PyObject *__pyx_n_s__seed;
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static PyObject *__pyx_n_s__shape;
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static PyObject *__pyx_n_s__shuffle;
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static PyObject *__pyx_n_s__strides;
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static PyObject *__pyx_n_s__suboffsets;
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static PyObject *__pyx_n_s__sys;
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static PyObject *__pyx_n_s__time;
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static PyObject *__pyx_n_s__type_num;
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static PyObject *__pyx_n_s__verbose;
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static PyObject *__pyx_n_s__w;
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static PyObject *__pyx_n_s__weight_neg;
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static PyObject *__pyx_n_s__weight_pos;
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static PyObject *__pyx_n_s__zeros;
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static PyObject *__pyx_int_15;
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|
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":34
|
|
* @cython.wraparound(False)
|
|
* @cython.cdivision(True)
|
|
* def plain_sgd(np.ndarray[double, ndim=1] w, # <<<<<<<<<<<<<<
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|
* double intercept,
|
|
* LossFunction loss,
|
|
*/
|
|
|
|
static PyObject *__pyx_pf_7sklearn_12linear_model_15sgd_fast_sparse_plain_sgd(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
|
|
static char __pyx_doc_7sklearn_12linear_model_15sgd_fast_sparse_plain_sgd[] = "Cython impl. of SGD with different loss functions and penalties\n\n This representation assumes X represented using the Compressed Sparse Row\n representation of scipy.sparse.\n\n Parameters\n ----------\n w : ndarray[double, ndim=1]\n The allocated coef_ vector.\n intercept : double\n The initial intercept\n loss : LossFunction\n A concrete LossFunction object.\n penalty_type : int\n The penalty 2 for L2, 1 for L1, and 3 for Elastic-Net.\n alpha : float\n The regularization parameter.\n rho : float\n The elastic net hyperparameter.\n X : csr_matrix[double, ndim=2]\n The dataset as a Compressed Sparse Row matrix\n (see scipy.sparse.csr_matrix).\n Y : ndarray[double, ndim=1]\n The labels.\n n_iter : int\n The number of iterations (epochs).\n fit_intercept : int\n Whether or not to fit the intercept (1 or 0).\n verbose : int\n Print verbose output; 0 for quite.\n shuffle : int\n Whether to shuffle the training data before each epoch.\n weight_pos : float\n The weight of the positive class.\n weight_neg : float\n The weight of the negative class.\n seed : int\n The seed of the pseudo random number generator to use when\n shuffling the data\n sample_weight : array, shape = [n_samples]\n The importance weight of each sample.\n learning_rate : int\n The learning rate:\n (1) constant, eta = eta0\n (2) optimal, eta = 1.0/(t+t0)\n (3) inverse scaling, eta = eta0 / pow(t, power_t)\n eta0 : double\n The initial learning rate.\n power_t : double\n The exponent for inverse scaling learning rate.\n\n Returns\n -------\n w : array, shape [n_features]\n The fitted weight vector.\n intercept : float\n The fitted intercept term.\n ";
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static PyObject *__pyx_pf_7sklearn_12linear_model_15sgd_fast_sparse_plain_sgd(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
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PyArrayObject *__pyx_v_w = 0;
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double __pyx_v_intercept;
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struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_v_loss = 0;
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int __pyx_v_penalty_type;
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|
double __pyx_v_alpha;
|
|
double __pyx_v_rho;
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|
PyArrayObject *__pyx_v_X_data = 0;
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|
PyArrayObject *__pyx_v_X_indices = 0;
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PyArrayObject *__pyx_v_X_indptr = 0;
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|
PyArrayObject *__pyx_v_Y = 0;
|
|
int __pyx_v_n_iter;
|
|
int __pyx_v_fit_intercept;
|
|
int __pyx_v_verbose;
|
|
int __pyx_v_shuffle;
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|
int __pyx_v_seed;
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|
double __pyx_v_weight_pos;
|
|
double __pyx_v_weight_neg;
|
|
PyArrayObject *__pyx_v_sample_weight = 0;
|
|
int __pyx_v_learning_rate;
|
|
double __pyx_v_eta0;
|
|
double __pyx_v_power_t;
|
|
unsigned int __pyx_v_n_samples;
|
|
unsigned int __pyx_v_n_features;
|
|
double *__pyx_v_w_data_ptr;
|
|
double *__pyx_v_X_data_ptr;
|
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int *__pyx_v_X_indptr_ptr;
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int *__pyx_v_X_indices_ptr;
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double *__pyx_v_Y_data_ptr;
|
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double *__pyx_v_sample_weight_data;
|
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PyArrayObject *__pyx_v_index = 0;
|
|
int *__pyx_v_index_data_ptr;
|
|
int __pyx_v_offset;
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int __pyx_v_xnnz;
|
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double __pyx_v_wscale;
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double __pyx_v_eta;
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double __pyx_v_p;
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double __pyx_v_update;
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double __pyx_v_sumloss;
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double __pyx_v_wnorm;
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double __pyx_v_t;
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double __pyx_v_y;
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double __pyx_v_class_weight;
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unsigned int __pyx_v_count;
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unsigned int __pyx_v_epoch;
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unsigned int __pyx_v_i;
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int __pyx_v_sample_idx;
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PyArrayObject *__pyx_v_q = 0;
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double *__pyx_v_q_data_ptr;
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double __pyx_v_u;
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double __pyx_v_typw;
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PyObject *__pyx_v_t_start;
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Py_buffer __pyx_bstruct_index;
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Py_ssize_t __pyx_bstride_0_index = 0;
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Py_ssize_t __pyx_bshape_0_index = 0;
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Py_buffer __pyx_bstruct_X_data;
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Py_ssize_t __pyx_bstride_0_X_data = 0;
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Py_ssize_t __pyx_bshape_0_X_data = 0;
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Py_buffer __pyx_bstruct_sample_weight;
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Py_ssize_t __pyx_bstride_0_sample_weight = 0;
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Py_ssize_t __pyx_bshape_0_sample_weight = 0;
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Py_buffer __pyx_bstruct_X_indices;
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Py_ssize_t __pyx_bstride_0_X_indices = 0;
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Py_ssize_t __pyx_bshape_0_X_indices = 0;
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Py_buffer __pyx_bstruct_X_indptr;
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|
Py_ssize_t __pyx_bstride_0_X_indptr = 0;
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Py_ssize_t __pyx_bshape_0_X_indptr = 0;
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Py_buffer __pyx_bstruct_Y;
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Py_ssize_t __pyx_bstride_0_Y = 0;
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Py_ssize_t __pyx_bshape_0_Y = 0;
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Py_buffer __pyx_bstruct_q;
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Py_ssize_t __pyx_bstride_0_q = 0;
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Py_ssize_t __pyx_bshape_0_q = 0;
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Py_buffer __pyx_bstruct_w;
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Py_ssize_t __pyx_bstride_0_w = 0;
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Py_ssize_t __pyx_bshape_0_w = 0;
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PyObject *__pyx_r = NULL;
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PyObject *__pyx_t_1 = NULL;
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PyObject *__pyx_t_2 = NULL;
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PyObject *__pyx_t_3 = NULL;
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PyObject *__pyx_t_4 = NULL;
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PyObject *__pyx_t_5 = NULL;
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PyArrayObject *__pyx_t_6 = NULL;
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PyArrayObject *__pyx_t_7 = NULL;
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int __pyx_t_8;
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int __pyx_t_9;
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PyObject *__pyx_t_10 = NULL;
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PyObject *__pyx_t_11 = NULL;
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PyObject *__pyx_t_12 = NULL;
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int __pyx_t_13;
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unsigned int __pyx_t_14;
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PyArrayObject *__pyx_t_15 = NULL;
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double __pyx_t_16;
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PyObject *__pyx_t_17 = NULL;
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int __pyx_t_18;
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int __pyx_t_19;
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int __pyx_t_20;
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int __pyx_t_21;
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static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__w,&__pyx_n_s__intercept,&__pyx_n_s__loss,&__pyx_n_s__penalty_type,&__pyx_n_s__alpha,&__pyx_n_s__rho,&__pyx_n_s__X_data,&__pyx_n_s__X_indices,&__pyx_n_s__X_indptr,&__pyx_n_s__Y,&__pyx_n_s__n_iter,&__pyx_n_s__fit_intercept,&__pyx_n_s__verbose,&__pyx_n_s__shuffle,&__pyx_n_s__seed,&__pyx_n_s__weight_pos,&__pyx_n_s__weight_neg,&__pyx_n_s__sample_weight,&__pyx_n_s__learning_rate,&__pyx_n_s__eta0,&__pyx_n_s__power_t,0};
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__Pyx_RefNannySetupContext("plain_sgd");
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__pyx_self = __pyx_self;
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if (unlikely(__pyx_kwds)) {
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Py_ssize_t kw_args = PyDict_Size(__pyx_kwds);
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PyObject* values[21] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
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switch (PyTuple_GET_SIZE(__pyx_args)) {
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case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20);
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case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19);
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case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
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case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
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case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
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case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
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case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
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case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
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case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
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case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
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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 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
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case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
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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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case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
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case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
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case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
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case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
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case 0: break;
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default: goto __pyx_L5_argtuple_error;
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}
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switch (PyTuple_GET_SIZE(__pyx_args)) {
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case 0:
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values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__w);
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if (likely(values[0])) kw_args--;
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else goto __pyx_L5_argtuple_error;
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case 1:
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values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__intercept);
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if (likely(values[1])) kw_args--;
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else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
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case 2:
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values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__loss);
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if (likely(values[2])) kw_args--;
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else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
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case 3:
|
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values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__penalty_type);
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if (likely(values[3])) kw_args--;
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else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
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}
|
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case 4:
|
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values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__alpha);
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if (likely(values[4])) kw_args--;
|
|
else {
|
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 5:
|
|
values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__rho);
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if (likely(values[5])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
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case 6:
|
|
values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_data);
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if (likely(values[6])) kw_args--;
|
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else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
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case 7:
|
|
values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_indices);
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if (likely(values[7])) kw_args--;
|
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else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
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case 8:
|
|
values[8] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_indptr);
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if (likely(values[8])) kw_args--;
|
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else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 8); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 9:
|
|
values[9] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__Y);
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if (likely(values[9])) kw_args--;
|
|
else {
|
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 9); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 10:
|
|
values[10] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__n_iter);
|
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if (likely(values[10])) kw_args--;
|
|
else {
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 11:
|
|
values[11] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__fit_intercept);
|
|
if (likely(values[11])) kw_args--;
|
|
else {
|
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__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 11); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 12:
|
|
values[12] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__verbose);
|
|
if (likely(values[12])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 12); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 13:
|
|
values[13] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shuffle);
|
|
if (likely(values[13])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 13); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 14:
|
|
values[14] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__seed);
|
|
if (likely(values[14])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 14); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 15:
|
|
values[15] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__weight_pos);
|
|
if (likely(values[15])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 15); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 16:
|
|
values[16] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__weight_neg);
|
|
if (likely(values[16])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 16); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 17:
|
|
values[17] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__sample_weight);
|
|
if (likely(values[17])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 17); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 18:
|
|
values[18] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__learning_rate);
|
|
if (likely(values[18])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 18); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 19:
|
|
values[19] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__eta0);
|
|
if (likely(values[19])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 19); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 20:
|
|
values[20] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__power_t);
|
|
if (likely(values[20])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 1, 21, 21, 20); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
}
|
|
if (unlikely(kw_args > 0)) {
|
|
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "plain_sgd") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
__pyx_v_w = ((PyArrayObject *)values[0]);
|
|
__pyx_v_intercept = __pyx_PyFloat_AsDouble(values[1]); if (unlikely((__pyx_v_intercept == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_loss = ((struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *)values[2]);
|
|
__pyx_v_penalty_type = __Pyx_PyInt_AsInt(values[3]); if (unlikely((__pyx_v_penalty_type == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_alpha = __pyx_PyFloat_AsDouble(values[4]); if (unlikely((__pyx_v_alpha == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 38; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_rho = __pyx_PyFloat_AsDouble(values[5]); if (unlikely((__pyx_v_rho == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 38; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_X_data = ((PyArrayObject *)values[6]);
|
|
__pyx_v_X_indices = ((PyArrayObject *)values[7]);
|
|
__pyx_v_X_indptr = ((PyArrayObject *)values[8]);
|
|
__pyx_v_Y = ((PyArrayObject *)values[9]);
|
|
__pyx_v_n_iter = __Pyx_PyInt_AsInt(values[10]); if (unlikely((__pyx_v_n_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_fit_intercept = __Pyx_PyInt_AsInt(values[11]); if (unlikely((__pyx_v_fit_intercept == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":108
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":109
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":112
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*
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":113
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* cdef double *w_data_ptr = <double *>w.data
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|
* cdef int *X_indices_ptr = <int *>X_indices.data
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":114
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*/
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":115
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":141
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* if penalty_type != L2:
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* q = np.zeros((n_features,), dtype=np.float64, order="c")
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* q_data_ptr = <double *> q.data # <<<<<<<<<<<<<<
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":142
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* q = np.zeros((n_features,), dtype=np.float64, order="c")
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* q_data_ptr = <double *> q.data
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* cdef double u = 0.0 # <<<<<<<<<<<<<<
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*/
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":143
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* q_data_ptr = <double *> q.data
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* cdef double u = 0.0
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":145
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* cdef double typw = sqrt(1.0 / sqrt(alpha))
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*
|
|
* if learning_rate == OPTIMAL: # <<<<<<<<<<<<<<
|
|
* # computing eta0, the initial learning rate
|
|
* eta0 = typw / max(1.0, loss.dloss(-typw, 1.0))
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_learning_rate == 2);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":147
|
|
* if learning_rate == OPTIMAL:
|
|
* # computing eta0, the initial learning rate
|
|
* eta0 = typw / max(1.0, loss.dloss(-typw, 1.0)) # <<<<<<<<<<<<<<
|
|
* else:
|
|
* eta = eta0
|
|
*/
|
|
__pyx_v_eta0 = (__pyx_v_typw / __pyx_f_7sklearn_12linear_model_15sgd_fast_sparse_max(1.0, ((struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *)__pyx_v_loss->__pyx_vtab)->dloss(__pyx_v_loss, (-__pyx_v_typw), 1.0, 0)));
|
|
goto __pyx_L7;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":149
|
|
* eta0 = typw / max(1.0, loss.dloss(-typw, 1.0))
|
|
* else:
|
|
* eta = eta0 # <<<<<<<<<<<<<<
|
|
*
|
|
* if learning_rate == OPTIMAL:
|
|
*/
|
|
__pyx_v_eta = __pyx_v_eta0;
|
|
}
|
|
__pyx_L7:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":151
|
|
* eta = eta0
|
|
*
|
|
* if learning_rate == OPTIMAL: # <<<<<<<<<<<<<<
|
|
* # initialize t such that eta at first example equals eta0
|
|
* t = 1.0 / (eta0 * alpha)
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_learning_rate == 2);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":153
|
|
* if learning_rate == OPTIMAL:
|
|
* # initialize t such that eta at first example equals eta0
|
|
* t = 1.0 / (eta0 * alpha) # <<<<<<<<<<<<<<
|
|
* else:
|
|
* t = 1.0
|
|
*/
|
|
__pyx_v_t = (1.0 / (__pyx_v_eta0 * __pyx_v_alpha));
|
|
goto __pyx_L8;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":155
|
|
* t = 1.0 / (eta0 * alpha)
|
|
* else:
|
|
* t = 1.0 # <<<<<<<<<<<<<<
|
|
*
|
|
* t_start = time()
|
|
*/
|
|
__pyx_v_t = 1.0;
|
|
}
|
|
__pyx_L8:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":157
|
|
* t = 1.0
|
|
*
|
|
* t_start = time() # <<<<<<<<<<<<<<
|
|
* for epoch from 0 <= epoch < n_iter:
|
|
* if verbose > 0:
|
|
*/
|
|
__pyx_t_4 = __Pyx_GetName(__pyx_m, __pyx_n_s__time); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 157; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__pyx_t_3 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 157; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__Pyx_DECREF(__pyx_v_t_start);
|
|
__pyx_v_t_start = __pyx_t_3;
|
|
__pyx_t_3 = 0;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":158
|
|
*
|
|
* t_start = time()
|
|
* for epoch from 0 <= epoch < n_iter: # <<<<<<<<<<<<<<
|
|
* if verbose > 0:
|
|
* print("-- Epoch %d" % (epoch + 1))
|
|
*/
|
|
__pyx_t_9 = __pyx_v_n_iter;
|
|
for (__pyx_v_epoch = 0; __pyx_v_epoch < __pyx_t_9; __pyx_v_epoch++) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":159
|
|
* t_start = time()
|
|
* for epoch from 0 <= epoch < n_iter:
|
|
* if verbose > 0: # <<<<<<<<<<<<<<
|
|
* print("-- Epoch %d" % (epoch + 1))
|
|
* if shuffle:
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_verbose > 0);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":160
|
|
* for epoch from 0 <= epoch < n_iter:
|
|
* if verbose > 0:
|
|
* print("-- Epoch %d" % (epoch + 1)) # <<<<<<<<<<<<<<
|
|
* if shuffle:
|
|
* np.random.RandomState(seed).shuffle(index)
|
|
*/
|
|
__pyx_t_3 = PyLong_FromUnsignedLong((__pyx_v_epoch + 1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 160; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_4 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_1), __pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 160; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
if (__Pyx_PrintOne(__pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 160; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
goto __pyx_L11;
|
|
}
|
|
__pyx_L11:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":161
|
|
* if verbose > 0:
|
|
* print("-- Epoch %d" % (epoch + 1))
|
|
* if shuffle: # <<<<<<<<<<<<<<
|
|
* np.random.RandomState(seed).shuffle(index)
|
|
* for i from 0 <= i < n_samples:
|
|
*/
|
|
__pyx_t_13 = __pyx_v_shuffle;
|
|
if (__pyx_t_13) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":162
|
|
* print("-- Epoch %d" % (epoch + 1))
|
|
* if shuffle:
|
|
* np.random.RandomState(seed).shuffle(index) # <<<<<<<<<<<<<<
|
|
* for i from 0 <= i < n_samples:
|
|
* sample_idx = index_data_ptr[i]
|
|
*/
|
|
__pyx_t_4 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__pyx_t_3 = PyObject_GetAttr(__pyx_t_4, __pyx_n_s__random); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__pyx_t_4 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__RandomState); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__pyx_t_3 = PyInt_FromLong(__pyx_v_seed); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3);
|
|
__Pyx_GIVEREF(__pyx_t_3);
|
|
__pyx_t_3 = 0;
|
|
__pyx_t_3 = PyObject_Call(__pyx_t_4, __pyx_t_5, NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
__pyx_t_5 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__shuffle); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_index));
|
|
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_index));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_v_index));
|
|
__pyx_t_4 = PyObject_Call(__pyx_t_5, __pyx_t_3, NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
goto __pyx_L12;
|
|
}
|
|
__pyx_L12:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":163
|
|
* if shuffle:
|
|
* np.random.RandomState(seed).shuffle(index)
|
|
* for i from 0 <= i < n_samples: # <<<<<<<<<<<<<<
|
|
* sample_idx = index_data_ptr[i]
|
|
* offset = X_indptr_ptr[sample_idx]
|
|
*/
|
|
__pyx_t_14 = __pyx_v_n_samples;
|
|
for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_14; __pyx_v_i++) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":164
|
|
* np.random.RandomState(seed).shuffle(index)
|
|
* for i from 0 <= i < n_samples:
|
|
* sample_idx = index_data_ptr[i] # <<<<<<<<<<<<<<
|
|
* offset = X_indptr_ptr[sample_idx]
|
|
* xnnz = X_indptr_ptr[sample_idx + 1] - offset
|
|
*/
|
|
__pyx_v_sample_idx = (__pyx_v_index_data_ptr[__pyx_v_i]);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":165
|
|
* for i from 0 <= i < n_samples:
|
|
* sample_idx = index_data_ptr[i]
|
|
* offset = X_indptr_ptr[sample_idx] # <<<<<<<<<<<<<<
|
|
* xnnz = X_indptr_ptr[sample_idx + 1] - offset
|
|
* y = Y_data_ptr[sample_idx]
|
|
*/
|
|
__pyx_v_offset = (__pyx_v_X_indptr_ptr[__pyx_v_sample_idx]);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":166
|
|
* sample_idx = index_data_ptr[i]
|
|
* offset = X_indptr_ptr[sample_idx]
|
|
* xnnz = X_indptr_ptr[sample_idx + 1] - offset # <<<<<<<<<<<<<<
|
|
* y = Y_data_ptr[sample_idx]
|
|
* if learning_rate == OPTIMAL:
|
|
*/
|
|
__pyx_v_xnnz = ((__pyx_v_X_indptr_ptr[(__pyx_v_sample_idx + 1)]) - __pyx_v_offset);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":167
|
|
* offset = X_indptr_ptr[sample_idx]
|
|
* xnnz = X_indptr_ptr[sample_idx + 1] - offset
|
|
* y = Y_data_ptr[sample_idx] # <<<<<<<<<<<<<<
|
|
* if learning_rate == OPTIMAL:
|
|
* eta = 1.0 / (alpha * t)
|
|
*/
|
|
__pyx_v_y = (__pyx_v_Y_data_ptr[__pyx_v_sample_idx]);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":168
|
|
* xnnz = X_indptr_ptr[sample_idx + 1] - offset
|
|
* y = Y_data_ptr[sample_idx]
|
|
* if learning_rate == OPTIMAL: # <<<<<<<<<<<<<<
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING:
|
|
*/
|
|
switch (__pyx_v_learning_rate) {
|
|
case 2:
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":169
|
|
* y = Y_data_ptr[sample_idx]
|
|
* if learning_rate == OPTIMAL:
|
|
* eta = 1.0 / (alpha * t) # <<<<<<<<<<<<<<
|
|
* elif learning_rate == INVSCALING:
|
|
* eta = eta0 / pow(t, power_t)
|
|
*/
|
|
__pyx_v_eta = (1.0 / (__pyx_v_alpha * __pyx_v_t));
|
|
break;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":170
|
|
* if learning_rate == OPTIMAL:
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING: # <<<<<<<<<<<<<<
|
|
* eta = eta0 / pow(t, power_t)
|
|
* p = (dot(w_data_ptr, X_data_ptr, X_indices_ptr,
|
|
*/
|
|
case 3:
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":171
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING:
|
|
* eta = eta0 / pow(t, power_t) # <<<<<<<<<<<<<<
|
|
* p = (dot(w_data_ptr, X_data_ptr, X_indices_ptr,
|
|
* offset, xnnz) * wscale) + intercept
|
|
*/
|
|
__pyx_v_eta = (__pyx_v_eta0 / pow(__pyx_v_t, __pyx_v_power_t));
|
|
break;
|
|
}
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":173
|
|
* eta = eta0 / pow(t, power_t)
|
|
* p = (dot(w_data_ptr, X_data_ptr, X_indices_ptr,
|
|
* offset, xnnz) * wscale) + intercept # <<<<<<<<<<<<<<
|
|
* sumloss += loss.loss(p, y)
|
|
* if y > 0:
|
|
*/
|
|
__pyx_v_p = ((__pyx_f_7sklearn_12linear_model_15sgd_fast_sparse_dot(__pyx_v_w_data_ptr, __pyx_v_X_data_ptr, __pyx_v_X_indices_ptr, __pyx_v_offset, __pyx_v_xnnz) * __pyx_v_wscale) + __pyx_v_intercept);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":174
|
|
* p = (dot(w_data_ptr, X_data_ptr, X_indices_ptr,
|
|
* offset, xnnz) * wscale) + intercept
|
|
* sumloss += loss.loss(p, y) # <<<<<<<<<<<<<<
|
|
* if y > 0:
|
|
* class_weight = weight_pos
|
|
*/
|
|
__pyx_v_sumloss += ((struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *)__pyx_v_loss->__pyx_vtab)->loss(__pyx_v_loss, __pyx_v_p, __pyx_v_y, 0);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":175
|
|
* offset, xnnz) * wscale) + intercept
|
|
* sumloss += loss.loss(p, y)
|
|
* if y > 0: # <<<<<<<<<<<<<<
|
|
* class_weight = weight_pos
|
|
* else:
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_y > 0);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":176
|
|
* sumloss += loss.loss(p, y)
|
|
* if y > 0:
|
|
* class_weight = weight_pos # <<<<<<<<<<<<<<
|
|
* else:
|
|
* class_weight = weight_neg
|
|
*/
|
|
__pyx_v_class_weight = __pyx_v_weight_pos;
|
|
goto __pyx_L15;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":178
|
|
* class_weight = weight_pos
|
|
* else:
|
|
* class_weight = weight_neg # <<<<<<<<<<<<<<
|
|
* update = eta * loss.dloss(p, y) * class_weight * \
|
|
* sample_weight_data[sample_idx]
|
|
*/
|
|
__pyx_v_class_weight = __pyx_v_weight_neg;
|
|
}
|
|
__pyx_L15:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":180
|
|
* class_weight = weight_neg
|
|
* update = eta * loss.dloss(p, y) * class_weight * \
|
|
* sample_weight_data[sample_idx] # <<<<<<<<<<<<<<
|
|
* if update != 0.0:
|
|
* add(w_data_ptr, wscale, X_data_ptr, X_indices_ptr,
|
|
*/
|
|
__pyx_v_update = (((__pyx_v_eta * ((struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *)__pyx_v_loss->__pyx_vtab)->dloss(__pyx_v_loss, __pyx_v_p, __pyx_v_y, 0)) * __pyx_v_class_weight) * (__pyx_v_sample_weight_data[__pyx_v_sample_idx]));
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":181
|
|
* update = eta * loss.dloss(p, y) * class_weight * \
|
|
* sample_weight_data[sample_idx]
|
|
* if update != 0.0: # <<<<<<<<<<<<<<
|
|
* add(w_data_ptr, wscale, X_data_ptr, X_indices_ptr,
|
|
* offset, xnnz, -update)
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_update != 0.0);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":183
|
|
* if update != 0.0:
|
|
* add(w_data_ptr, wscale, X_data_ptr, X_indices_ptr,
|
|
* offset, xnnz, -update) # <<<<<<<<<<<<<<
|
|
* if fit_intercept == 1:
|
|
* intercept -= update * 0.01
|
|
*/
|
|
__pyx_f_7sklearn_12linear_model_15sgd_fast_sparse_add(__pyx_v_w_data_ptr, __pyx_v_wscale, __pyx_v_X_data_ptr, __pyx_v_X_indices_ptr, __pyx_v_offset, __pyx_v_xnnz, (-__pyx_v_update));
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":184
|
|
* add(w_data_ptr, wscale, X_data_ptr, X_indices_ptr,
|
|
* offset, xnnz, -update)
|
|
* if fit_intercept == 1: # <<<<<<<<<<<<<<
|
|
* intercept -= update * 0.01
|
|
* if penalty_type != L1:
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_fit_intercept == 1);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":185
|
|
* offset, xnnz, -update)
|
|
* if fit_intercept == 1:
|
|
* intercept -= update * 0.01 # <<<<<<<<<<<<<<
|
|
* if penalty_type != L1:
|
|
* wscale *= (1.0 - (rho * eta * alpha))
|
|
*/
|
|
__pyx_v_intercept -= (__pyx_v_update * 0.01);
|
|
goto __pyx_L17;
|
|
}
|
|
__pyx_L17:;
|
|
goto __pyx_L16;
|
|
}
|
|
__pyx_L16:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":186
|
|
* if fit_intercept == 1:
|
|
* intercept -= update * 0.01
|
|
* if penalty_type != L1: # <<<<<<<<<<<<<<
|
|
* wscale *= (1.0 - (rho * eta * alpha))
|
|
* if wscale < 1e-9:
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_penalty_type != 1);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":187
|
|
* intercept -= update * 0.01
|
|
* if penalty_type != L1:
|
|
* wscale *= (1.0 - (rho * eta * alpha)) # <<<<<<<<<<<<<<
|
|
* if wscale < 1e-9:
|
|
* w *= wscale
|
|
*/
|
|
__pyx_v_wscale *= (1.0 - ((__pyx_v_rho * __pyx_v_eta) * __pyx_v_alpha));
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":188
|
|
* if penalty_type != L1:
|
|
* wscale *= (1.0 - (rho * eta * alpha))
|
|
* if wscale < 1e-9: # <<<<<<<<<<<<<<
|
|
* w *= wscale
|
|
* wscale = 1.0
|
|
*/
|
|
__pyx_t_8 = (__pyx_v_wscale < 1.0000000000000001e-09);
|
|
if (__pyx_t_8) {
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":189
|
|
* wscale *= (1.0 - (rho * eta * alpha))
|
|
* if wscale < 1e-9:
|
|
* w *= wscale # <<<<<<<<<<<<<<
|
|
* wscale = 1.0
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET:
|
|
*/
|
|
__pyx_t_4 = PyFloat_FromDouble(__pyx_v_wscale); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 189; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
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__pyx_t_3 = PyNumber_InPlaceMultiply(((PyObject *)__pyx_v_w), __pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 189; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 189; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
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{
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__Pyx_SafeReleaseBuffer(&__pyx_bstruct_w);
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if (unlikely(__pyx_t_13 < 0)) {
|
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PyErr_Fetch(&__pyx_t_12, &__pyx_t_11, &__pyx_t_10);
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|
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Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_10);
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PyErr_Restore(__pyx_t_12, __pyx_t_11, __pyx_t_10);
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__pyx_t_15 = 0;
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__Pyx_DECREF(((PyObject *)__pyx_v_w));
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__pyx_v_w = ((PyArrayObject *)__pyx_t_3);
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__pyx_t_3 = 0;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":190
|
|
* if wscale < 1e-9:
|
|
* w *= wscale
|
|
* wscale = 1.0 # <<<<<<<<<<<<<<
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET:
|
|
* u += ((1.0 - rho) * eta * alpha)
|
|
*/
|
|
__pyx_v_wscale = 1.0;
|
|
goto __pyx_L19;
|
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}
|
|
__pyx_L19:;
|
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goto __pyx_L18;
|
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}
|
|
__pyx_L18:;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":191
|
|
* w *= wscale
|
|
* wscale = 1.0
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET: # <<<<<<<<<<<<<<
|
|
* u += ((1.0 - rho) * eta * alpha)
|
|
* l1penalty(w_data_ptr, wscale, q_data_ptr,
|
|
*/
|
|
switch (__pyx_v_penalty_type) {
|
|
case 1:
|
|
case 3:
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":192
|
|
* wscale = 1.0
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET:
|
|
* u += ((1.0 - rho) * eta * alpha) # <<<<<<<<<<<<<<
|
|
* l1penalty(w_data_ptr, wscale, q_data_ptr,
|
|
* X_indices_ptr, offset, xnnz, u)
|
|
*/
|
|
__pyx_v_u += (((1.0 - __pyx_v_rho) * __pyx_v_eta) * __pyx_v_alpha);
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":194
|
|
* u += ((1.0 - rho) * eta * alpha)
|
|
* l1penalty(w_data_ptr, wscale, q_data_ptr,
|
|
* X_indices_ptr, offset, xnnz, u) # <<<<<<<<<<<<<<
|
|
* t += 1
|
|
* count += 1
|
|
*/
|
|
__pyx_f_7sklearn_12linear_model_15sgd_fast_sparse_l1penalty(__pyx_v_w_data_ptr, __pyx_v_wscale, __pyx_v_q_data_ptr, __pyx_v_X_indices_ptr, __pyx_v_offset, __pyx_v_xnnz, __pyx_v_u);
|
|
break;
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}
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":195
|
|
* l1penalty(w_data_ptr, wscale, q_data_ptr,
|
|
* X_indices_ptr, offset, xnnz, u)
|
|
* t += 1 # <<<<<<<<<<<<<<
|
|
* count += 1
|
|
*
|
|
*/
|
|
__pyx_v_t += 1;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":196
|
|
* X_indices_ptr, offset, xnnz, u)
|
|
* t += 1
|
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* count += 1 # <<<<<<<<<<<<<<
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|
*
|
|
* # report epoche information
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*/
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__pyx_v_count += 1;
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}
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":199
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*
|
|
* # report epoche information
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* if verbose > 0: # <<<<<<<<<<<<<<
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* wnorm = sqrt(np.dot(w, w) * wscale * wscale)
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* print("Norm: %.2f, NNZs: %d, "\
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*/
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__pyx_t_8 = (__pyx_v_verbose > 0);
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if (__pyx_t_8) {
|
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|
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":200
|
|
* # report epoche information
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* if verbose > 0:
|
|
* wnorm = sqrt(np.dot(w, w) * wscale * wscale) # <<<<<<<<<<<<<<
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|
* print("Norm: %.2f, NNZs: %d, "\
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* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (wnorm,
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*/
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__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_INCREF(((PyObject *)__pyx_v_w));
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PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_w));
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__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
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__Pyx_INCREF(((PyObject *)__pyx_v_w));
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__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
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__pyx_t_5 = PyObject_Call(__pyx_t_4, __pyx_t_3, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __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_t_4 = PyNumber_Multiply(__pyx_t_5, __pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_3 = PyFloat_FromDouble(__pyx_v_wscale); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyNumber_Multiply(__pyx_t_4, __pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_16 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_16 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_v_wnorm = sqrt(__pyx_t_16);
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|
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":202
|
|
* wnorm = sqrt(np.dot(w, w) * wscale * wscale)
|
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* print("Norm: %.2f, NNZs: %d, "\
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* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (wnorm, # <<<<<<<<<<<<<<
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|
* w.nonzero()[0].shape[0],
|
|
* intercept, count,
|
|
*/
|
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__pyx_t_5 = PyFloat_FromDouble(__pyx_v_wnorm); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":203
|
|
* print("Norm: %.2f, NNZs: %d, "\
|
|
* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (wnorm,
|
|
* w.nonzero()[0].shape[0], # <<<<<<<<<<<<<<
|
|
* intercept, count,
|
|
* sumloss / count))
|
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*/
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__pyx_t_3 = PyObject_GetAttr(((PyObject *)__pyx_v_w), __pyx_n_s__nonzero); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 203; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 203; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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__Pyx_GOTREF(__pyx_t_4);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_3 = __Pyx_GetItemInt(__pyx_t_4, 0, sizeof(long), PyInt_FromLong); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 203; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":204
|
|
* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (wnorm,
|
|
* w.nonzero()[0].shape[0],
|
|
* intercept, count, # <<<<<<<<<<<<<<
|
|
* sumloss / count))
|
|
* print("Total training time: %.2f seconds." % (time() - t_start))
|
|
*/
|
|
__pyx_t_4 = PyFloat_FromDouble(__pyx_v_intercept); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
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__pyx_t_1 = PyLong_FromUnsignedLong(__pyx_v_count); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_1);
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|
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":205
|
|
* w.nonzero()[0].shape[0],
|
|
* intercept, count,
|
|
* sumloss / count)) # <<<<<<<<<<<<<<
|
|
* print("Total training time: %.2f seconds." % (time() - t_start))
|
|
*
|
|
*/
|
|
__pyx_t_2 = PyFloat_FromDouble((__pyx_v_sumloss / __pyx_v_count)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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|
__Pyx_GOTREF(__pyx_t_2);
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__pyx_t_17 = PyTuple_New(5); if (unlikely(!__pyx_t_17)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_17);
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PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_5);
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__Pyx_GIVEREF(__pyx_t_5);
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PyTuple_SET_ITEM(__pyx_t_17, 1, __pyx_t_3);
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__Pyx_GIVEREF(__pyx_t_3);
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PyTuple_SET_ITEM(__pyx_t_17, 2, __pyx_t_4);
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__Pyx_GIVEREF(__pyx_t_4);
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PyTuple_SET_ITEM(__pyx_t_17, 3, __pyx_t_1);
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__Pyx_GIVEREF(__pyx_t_1);
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PyTuple_SET_ITEM(__pyx_t_17, 4, __pyx_t_2);
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__Pyx_GIVEREF(__pyx_t_2);
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":211
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":213
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":260
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":261
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":262
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* cdef int idx = 0
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":263
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":264
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":265
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goto __pyx_L5;
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":268
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*
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":269
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":196
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":199
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":201
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":204
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*
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":208
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|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2)
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|
|
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":219
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* info.shape = info.strides + ndim
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":220
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|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
*/
|
|
(__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(((PyArrayObject *)__pyx_v_self))[__pyx_v_i]);
|
|
}
|
|
goto __pyx_L8;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":222
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self) # <<<<<<<<<<<<<<
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
*/
|
|
__pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(((PyArrayObject *)__pyx_v_self)));
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":223
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self) # <<<<<<<<<<<<<<
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
*/
|
|
__pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(((PyArrayObject *)__pyx_v_self)));
|
|
}
|
|
__pyx_L8:;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":224
|
|
* 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;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":225
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<<
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*
|
|
*/
|
|
__pyx_v_info->itemsize = PyArray_ITEMSIZE(((PyArrayObject *)__pyx_v_self));
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":226
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef int t
|
|
*/
|
|
__pyx_v_info->readonly = (!PyArray_ISWRITEABLE(((PyArrayObject *)__pyx_v_self)));
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":229
|
|
*
|
|
* cdef int t
|
|
* cdef char* f = NULL # <<<<<<<<<<<<<<
|
|
* cdef dtype descr = self.descr
|
|
* cdef list stack
|
|
*/
|
|
__pyx_v_f = NULL;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":230
|
|
* cdef int t
|
|
* cdef char* f = NULL
|
|
* cdef dtype descr = self.descr # <<<<<<<<<<<<<<
|
|
* cdef list stack
|
|
* cdef int offset
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_v_self)->descr));
|
|
__pyx_v_descr = ((PyArrayObject *)__pyx_v_self)->descr;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":234
|
|
* cdef int offset
|
|
*
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields and not copy_shape:
|
|
*/
|
|
__pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr);
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":236
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr)
|
|
*
|
|
* if not hasfields and not copy_shape: # <<<<<<<<<<<<<<
|
|
* # do not call releasebuffer
|
|
* info.obj = None
|
|
*/
|
|
__pyx_t_2 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_2) {
|
|
__pyx_t_3 = (!__pyx_v_copy_shape);
|
|
__pyx_t_1 = __pyx_t_3;
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
}
|
|
if (__pyx_t_1) {
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":238
|
|
* if not hasfields and not copy_shape:
|
|
* # do not call releasebuffer
|
|
* info.obj = None # <<<<<<<<<<<<<<
|
|
* else:
|
|
* # need to call releasebuffer
|
|
*/
|
|
__Pyx_INCREF(Py_None);
|
|
__Pyx_GIVEREF(Py_None);
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = Py_None;
|
|
goto __pyx_L11;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":241
|
|
* else:
|
|
* # need to call releasebuffer
|
|
* info.obj = self # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields:
|
|
*/
|
|
__Pyx_INCREF(__pyx_v_self);
|
|
__Pyx_GIVEREF(__pyx_v_self);
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = __pyx_v_self;
|
|
}
|
|
__pyx_L11:;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":243
|
|
* info.obj = self
|
|
*
|
|
* if not hasfields: # <<<<<<<<<<<<<<
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
*/
|
|
__pyx_t_1 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":244
|
|
*
|
|
* if not hasfields:
|
|
* t = descr.type_num # <<<<<<<<<<<<<<
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
*/
|
|
__pyx_v_t = __pyx_v_descr->type_num;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":245
|
|
* if not hasfields:
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_descr->byteorder == '>');
|
|
if (__pyx_t_1) {
|
|
__pyx_t_2 = __pyx_v_little_endian;
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_1;
|
|
}
|
|
if (!__pyx_t_2) {
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":246
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_descr->byteorder == '<');
|
|
if (__pyx_t_1) {
|
|
__pyx_t_3 = (!__pyx_v_little_endian);
|
|
__pyx_t_8 = __pyx_t_3;
|
|
} else {
|
|
__pyx_t_8 = __pyx_t_1;
|
|
}
|
|
__pyx_t_1 = __pyx_t_8;
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
}
|
|
if (__pyx_t_1) {
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":247
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
*/
|
|
__pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_INCREF(((PyObject *)__pyx_kp_u_7));
|
|
PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_kp_u_7));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_7));
|
|
__pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, __pyx_t_4, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__Pyx_Raise(__pyx_t_5, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L13;
|
|
}
|
|
__pyx_L13:;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":248
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_BYTE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__b;
|
|
goto __pyx_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":249
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":250
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":251
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":252
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":253
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":254
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":255
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":256
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":257
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":258
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":259
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":260
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":261
|
|
* 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_L14;
|
|
}
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":262
|
|
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":807
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":808
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*
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":809
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":810
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":814
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* # Until ticket #99 is fixed, use integers to avoid warnings
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":815
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":816
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":817
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* elif t == NPY_SHORT: f[0] = 104 #"h"
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__Pyx_GOTREF(__pyx_t_3);
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":818
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__Pyx_GOTREF(__pyx_t_5);
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":819
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*/
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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goto __pyx_L11;
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}
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":820
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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_LONGLONG: f[0] = 113 #"q"
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*/
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 820; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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(__pyx_v_f[0]) = 76;
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goto __pyx_L11;
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}
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":821
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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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*/
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (__pyx_t_6) {
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goto __pyx_L11;
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":822
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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_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 81;
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goto __pyx_L11;
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}
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/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":823
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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_ptype_7sklearn_12linear_model_8sgd_fast_Classification = __Pyx_ImportType("sklearn.linear_model.sgd_fast", "Classification", sizeof(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification), 1); if (unlikely(!__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__Pyx_GetVtable(__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification->tp_dict, &__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHuber = __Pyx_ImportType("sklearn.linear_model.sgd_fast", "ModifiedHuber", sizeof(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber), 1); if (unlikely(!__pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHuber)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 32; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__Pyx_GetVtable(__pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHuber->tp_dict, &__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ModifiedHuber) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 32; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge = __Pyx_ImportType("sklearn.linear_model.sgd_fast", "Hinge", sizeof(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge), 1); if (unlikely(!__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 36; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__Pyx_GetVtable(__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge->tp_dict, &__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 36; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Log = __Pyx_ImportType("sklearn.linear_model.sgd_fast", "Log", sizeof(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log), 1); if (unlikely(!__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Log)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__Pyx_GetVtable(__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Log->tp_dict, &__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Log) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__Pyx_GetVtable(__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredLoss->tp_dict, &__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredLoss) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 44; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (__Pyx_GetVtable(__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Huber->tp_dict, &__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Huber) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/*--- Function import code ---*/
|
|
/*--- Execution code ---*/
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":10
|
|
* # License: BSD Style.
|
|
*
|
|
* import numpy as np # <<<<<<<<<<<<<<
|
|
* import sys
|
|
* from time import time
|
|
*/
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__pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 10; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_1);
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if (PyObject_SetAttr(__pyx_m, __pyx_n_s__np, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 10; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":11
|
|
*
|
|
* import numpy as np
|
|
* import sys # <<<<<<<<<<<<<<
|
|
* from time import time
|
|
*
|
|
*/
|
|
__pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__sys), 0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 11; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
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|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
|
|
/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":12
|
|
* import numpy as np
|
|
* import sys
|
|
* from time import time # <<<<<<<<<<<<<<
|
|
*
|
|
* cimport numpy as np
|
|
*/
|
|
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__Pyx_GOTREF(__pyx_t_2);
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__Pyx_GOTREF(__pyx_t_1);
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if (PyObject_SetAttr(__pyx_m, __pyx_n_s__time, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 12; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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/* "/home/fabian/dev/scikit-learn/sklearn/linear_model/sgd_fast_sparse.pyx":1
|
|
* # encoding: utf-8 # <<<<<<<<<<<<<<
|
|
* # cython: cdivision=True
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|
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__pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_2));
|
|
__pyx_t_1 = PyObject_GetAttr(__pyx_m, __pyx_n_s__plain_sgd); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
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__pyx_t_3 = __Pyx_GetAttrString(__pyx_t_1, "__doc__");
|
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
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if (PyDict_SetItem(__pyx_t_2, ((PyObject *)__pyx_kp_u_11), __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s____test__, ((PyObject *)__pyx_t_2)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
|
|
|
|
/* "/usr/lib/pymodules/python2.6/Cython/Includes/numpy.pxd":962
|
|
* arr.base = baseptr
|
|
*
|
|
* cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<<
|
|
* if arr.base is NULL:
|
|
* return None
|
|
*/
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_2);
|
|
__Pyx_XDECREF(__pyx_t_3);
|
|
if (__pyx_m) {
|
|
__Pyx_AddTraceback("init sklearn.linear_model.sgd_fast_sparse");
|
|
Py_DECREF(__pyx_m); __pyx_m = 0;
|
|
} else if (!PyErr_Occurred()) {
|
|
PyErr_SetString(PyExc_ImportError, "init sklearn.linear_model.sgd_fast_sparse");
|
|
}
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
#if PY_MAJOR_VERSION < 3
|
|
return;
|
|
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|
|
return __pyx_m;
|
|
#endif
|
|
}
|
|
|
|
static const char *__pyx_filenames[] = {
|
|
"sgd_fast_sparse.pyx",
|
|
"numpy.pxd",
|
|
"sgd_fast.pxd",
|
|
};
|
|
|
|
/* Runtime support code */
|
|
|
|
static void __pyx_init_filenames(void) {
|
|
__pyx_f = __pyx_filenames;
|
|
}
|
|
|
|
static void __Pyx_RaiseDoubleKeywordsError(
|
|
const char* func_name,
|
|
PyObject* kw_name)
|
|
{
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION >= 3
|
|
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
|
|
#else
|
|
"%s() got multiple values for keyword argument '%s'", func_name,
|
|
PyString_AS_STRING(kw_name));
|
|
#endif
|
|
}
|
|
|
|
static void __Pyx_RaiseArgtupleInvalid(
|
|
const char* func_name,
|
|
int exact,
|
|
Py_ssize_t num_min,
|
|
Py_ssize_t num_max,
|
|
Py_ssize_t num_found)
|
|
{
|
|
Py_ssize_t num_expected;
|
|
const char *number, *more_or_less;
|
|
|
|
if (num_found < num_min) {
|
|
num_expected = num_min;
|
|
more_or_less = "at least";
|
|
} else {
|
|
num_expected = num_max;
|
|
more_or_less = "at most";
|
|
}
|
|
if (exact) {
|
|
more_or_less = "exactly";
|
|
}
|
|
number = (num_expected == 1) ? "" : "s";
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
"%s() takes %s %d positional argument%s (%d given)",
|
|
#else
|
|
"%s() takes %s %zd positional argument%s (%zd given)",
|
|
#endif
|
|
func_name, more_or_less, num_expected, number, num_found);
|
|
}
|
|
|
|
static int __Pyx_ParseOptionalKeywords(
|
|
PyObject *kwds,
|
|
PyObject **argnames[],
|
|
PyObject *kwds2,
|
|
PyObject *values[],
|
|
Py_ssize_t num_pos_args,
|
|
const char* function_name)
|
|
{
|
|
PyObject *key = 0, *value = 0;
|
|
Py_ssize_t pos = 0;
|
|
PyObject*** name;
|
|
PyObject*** first_kw_arg = argnames + num_pos_args;
|
|
|
|
while (PyDict_Next(kwds, &pos, &key, &value)) {
|
|
name = first_kw_arg;
|
|
while (*name && (**name != key)) name++;
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
} else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (unlikely(!PyString_CheckExact(key)) && unlikely(!PyString_Check(key))) {
|
|
#else
|
|
if (unlikely(!PyUnicode_CheckExact(key)) && unlikely(!PyUnicode_Check(key))) {
|
|
#endif
|
|
goto invalid_keyword_type;
|
|
} else {
|
|
for (name = first_kw_arg; *name; name++) {
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyUnicode_GET_SIZE(**name) == PyUnicode_GET_SIZE(key) &&
|
|
PyUnicode_Compare(**name, key) == 0) break;
|
|
#else
|
|
if (PyString_GET_SIZE(**name) == PyString_GET_SIZE(key) &&
|
|
_PyString_Eq(**name, key)) break;
|
|
#endif
|
|
}
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
} else {
|
|
/* unexpected keyword found */
|
|
for (name=argnames; name != first_kw_arg; name++) {
|
|
if (**name == key) goto arg_passed_twice;
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyUnicode_GET_SIZE(**name) == PyUnicode_GET_SIZE(key) &&
|
|
PyUnicode_Compare(**name, key) == 0) goto arg_passed_twice;
|
|
#else
|
|
if (PyString_GET_SIZE(**name) == PyString_GET_SIZE(key) &&
|
|
_PyString_Eq(**name, key)) goto arg_passed_twice;
|
|
#endif
|
|
}
|
|
if (kwds2) {
|
|
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
|
|
} else {
|
|
goto invalid_keyword;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return 0;
|
|
arg_passed_twice:
|
|
__Pyx_RaiseDoubleKeywordsError(function_name, **name);
|
|
goto bad;
|
|
invalid_keyword_type:
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s() keywords must be strings", function_name);
|
|
goto bad;
|
|
invalid_keyword:
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION < 3
|
|
"%s() got an unexpected keyword argument '%s'",
|
|
function_name, PyString_AsString(key));
|
|
#else
|
|
"%s() got an unexpected keyword argument '%U'",
|
|
function_name, key);
|
|
#endif
|
|
bad:
|
|
return -1;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
|
|
unsigned int n = 1;
|
|
return *(unsigned char*)(&n) != 0;
|
|
}
|
|
|
|
typedef struct {
|
|
__Pyx_StructField root;
|
|
__Pyx_BufFmt_StackElem* head;
|
|
size_t fmt_offset;
|
|
int new_count, enc_count;
|
|
int is_complex;
|
|
char enc_type;
|
|
char packmode;
|
|
} __Pyx_BufFmt_Context;
|
|
|
|
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
|
|
__Pyx_BufFmt_StackElem* stack,
|
|
__Pyx_TypeInfo* type) {
|
|
stack[0].field = &ctx->root;
|
|
stack[0].parent_offset = 0;
|
|
ctx->root.type = type;
|
|
ctx->root.name = "buffer dtype";
|
|
ctx->root.offset = 0;
|
|
ctx->head = stack;
|
|
ctx->head->field = &ctx->root;
|
|
ctx->fmt_offset = 0;
|
|
ctx->head->parent_offset = 0;
|
|
ctx->packmode = '@';
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
while (type->typegroup == 'S') {
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = 0;
|
|
type = type->fields->type;
|
|
}
|
|
}
|
|
|
|
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
|
|
int count;
|
|
const char* t = *ts;
|
|
if (*t < '0' || *t > '9') {
|
|
return -1;
|
|
} else {
|
|
count = *t++ - '0';
|
|
while (*t >= '0' && *t < '9') {
|
|
count *= 10;
|
|
count += *t++ - '0';
|
|
}
|
|
}
|
|
*ts = t;
|
|
return count;
|
|
}
|
|
|
|
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
|
|
char msg[] = {ch, 0};
|
|
PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%s'", msg);
|
|
}
|
|
|
|
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'b': return "'char'";
|
|
case 'B': return "'unsigned char'";
|
|
case 'h': return "'short'";
|
|
case 'H': return "'unsigned short'";
|
|
case 'i': return "'int'";
|
|
case 'I': return "'unsigned int'";
|
|
case 'l': return "'long'";
|
|
case 'L': return "'unsigned long'";
|
|
case 'q': return "'long long'";
|
|
case 'Q': return "'unsigned long long'";
|
|
case 'f': return (is_complex ? "'complex float'" : "'float'");
|
|
case 'd': return (is_complex ? "'complex double'" : "'double'");
|
|
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
|
|
case 'T': return "a struct";
|
|
case 'O': return "Python object";
|
|
case 'P': return "a pointer";
|
|
case 0: return "end";
|
|
default: return "unparseable format string";
|
|
}
|
|
}
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': return 1;
|
|
case 'h': case 'H': return 2;
|
|
case 'i': case 'I': case 'l': case 'L': return 4;
|
|
case 'q': case 'Q': return 8;
|
|
case 'f': return (is_complex ? 8 : 4);
|
|
case 'd': return (is_complex ? 16 : 8);
|
|
case 'g': {
|
|
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
|
|
return 0;
|
|
}
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'B': return 1;
|
|
case 'h': case 'H': return sizeof(short);
|
|
case 'i': case 'I': return sizeof(int);
|
|
case 'l': case 'L': return sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
|
|
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
|
|
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
typedef struct { char c; short x; } __Pyx_st_short;
|
|
typedef struct { char c; int x; } __Pyx_st_int;
|
|
typedef struct { char c; long x; } __Pyx_st_long;
|
|
typedef struct { char c; float x; } __Pyx_st_float;
|
|
typedef struct { char c; double x; } __Pyx_st_double;
|
|
typedef struct { char c; long double x; } __Pyx_st_longdouble;
|
|
typedef struct { char c; void *x; } __Pyx_st_void_p;
|
|
#ifdef HAVE_LONG_LONG
|
|
typedef struct { char c; PY_LONG_LONG x; } __Pyx_s_long_long;
|
|
#endif
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': return 1;
|
|
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
|
|
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
|
|
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(__Pyx_s_long_long) - sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
|
|
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
|
|
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
|
|
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'h': case 'i': case 'l': case 'q': return 'I';
|
|
case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U';
|
|
case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R');
|
|
case 'O': return 'O';
|
|
case 'P': return 'P';
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
|
|
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
|
|
const char* expected;
|
|
const char* quote;
|
|
if (ctx->head == NULL) {
|
|
expected = "end";
|
|
quote = "";
|
|
} else {
|
|
expected = ctx->head->field->type->name;
|
|
quote = "'";
|
|
}
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected %s%s%s but got %s",
|
|
quote, expected, quote,
|
|
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
|
|
} else {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_StructField* parent = (ctx->head - 1)->field;
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
|
|
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
|
|
parent->type->name, field->name);
|
|
}
|
|
}
|
|
|
|
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
|
|
char group;
|
|
size_t size, offset;
|
|
if (ctx->enc_type == 0) return 0;
|
|
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
|
|
do {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_TypeInfo* type = field->type;
|
|
|
|
if (ctx->packmode == '@' || ctx->packmode == '^') {
|
|
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
|
|
} else {
|
|
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
|
|
}
|
|
if (ctx->packmode == '@') {
|
|
int align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
|
|
int align_mod_offset;
|
|
if (align_at == 0) return -1;
|
|
align_mod_offset = ctx->fmt_offset % align_at;
|
|
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
|
|
}
|
|
|
|
if (type->size != size || type->typegroup != group) {
|
|
if (type->typegroup == 'C' && type->fields != NULL) {
|
|
/* special case -- treat as struct rather than complex number */
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = parent_offset;
|
|
continue;
|
|
}
|
|
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
|
|
offset = ctx->head->parent_offset + field->offset;
|
|
if (ctx->fmt_offset != offset) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch; next field is at offset %"PY_FORMAT_SIZE_T"d "
|
|
"but %"PY_FORMAT_SIZE_T"d expected", ctx->fmt_offset, offset);
|
|
return -1;
|
|
}
|
|
|
|
ctx->fmt_offset += size;
|
|
|
|
--ctx->enc_count; /* Consume from buffer string */
|
|
|
|
/* Done checking, move to next field, pushing or popping struct stack if needed */
|
|
while (1) {
|
|
if (field == &ctx->root) {
|
|
ctx->head = NULL;
|
|
if (ctx->enc_count != 0) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
break; /* breaks both loops as ctx->enc_count == 0 */
|
|
}
|
|
ctx->head->field = ++field;
|
|
if (field->type == NULL) {
|
|
--ctx->head;
|
|
field = ctx->head->field;
|
|
continue;
|
|
} else if (field->type->typegroup == 'S') {
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
if (field->type->fields->type == NULL) continue; /* empty struct */
|
|
field = field->type->fields;
|
|
++ctx->head;
|
|
ctx->head->field = field;
|
|
ctx->head->parent_offset = parent_offset;
|
|
break;
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
} while (ctx->enc_count);
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
return 0;
|
|
}
|
|
|
|
static int __Pyx_BufFmt_FirstPack(__Pyx_BufFmt_Context* ctx) {
|
|
if (ctx->enc_type != 0 || ctx->packmode != '@') {
|
|
PyErr_SetString(PyExc_ValueError, "Buffer packing mode currently only allowed at beginning of format string (this is a defect)");
|
|
return -1;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
|
|
int got_Z = 0;
|
|
while (1) {
|
|
switch(*ts) {
|
|
case 0:
|
|
if (ctx->enc_type != 0 && ctx->head == NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
if (ctx->head != NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
return ts;
|
|
case ' ':
|
|
case 10:
|
|
case 13:
|
|
++ts;
|
|
break;
|
|
case '<':
|
|
if (!__Pyx_IsLittleEndian()) {
|
|
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_FirstPack(ctx) == -1) return NULL;
|
|
ctx->packmode = '=';
|
|
++ts;
|
|
break;
|
|
case '>':
|
|
case '!':
|
|
if (__Pyx_IsLittleEndian()) {
|
|
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_FirstPack(ctx) == -1) return NULL;
|
|
ctx->packmode = '=';
|
|
++ts;
|
|
break;
|
|
case '=':
|
|
case '@':
|
|
case '^':
|
|
if (__Pyx_BufFmt_FirstPack(ctx) == -1) return NULL;
|
|
ctx->packmode = *ts++;
|
|
break;
|
|
case 'T': /* substruct */
|
|
{
|
|
int i;
|
|
const char* ts_after_sub;
|
|
int struct_count = ctx->new_count;
|
|
ctx->new_count = 1;
|
|
++ts;
|
|
if (*ts != '{') {
|
|
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
|
|
return NULL;
|
|
}
|
|
++ts;
|
|
ts_after_sub = ts;
|
|
for (i = 0; i != struct_count; ++i) {
|
|
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
|
|
if (!ts_after_sub) return NULL;
|
|
}
|
|
ts = ts_after_sub;
|
|
}
|
|
break;
|
|
case '}': /* end of substruct; either repeat or move on */
|
|
++ts;
|
|
return ts;
|
|
case 'x':
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->fmt_offset += ctx->new_count;
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
++ts;
|
|
break;
|
|
case 'Z':
|
|
got_Z = 1;
|
|
++ts;
|
|
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
|
|
return NULL;
|
|
} /* fall through */
|
|
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
|
|
case 'l': case 'L': case 'q': case 'Q':
|
|
case 'f': case 'd': case 'g':
|
|
case 'O':
|
|
if (ctx->enc_type == *ts && got_Z == ctx->is_complex) {
|
|
/* Continue pooling same type */
|
|
ctx->enc_count += ctx->new_count;
|
|
} else {
|
|
/* New type */
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_count = ctx->new_count;
|
|
ctx->enc_type = *ts;
|
|
ctx->is_complex = got_Z;
|
|
}
|
|
++ts;
|
|
ctx->new_count = 1;
|
|
got_Z = 0;
|
|
break;
|
|
default:
|
|
{
|
|
ctx->new_count = __Pyx_BufFmt_ParseNumber(&ts);
|
|
if (ctx->new_count == -1) { /* First char was not a digit */
|
|
char msg[2] = { *ts, 0 };
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Does not understand character buffer dtype format string ('%s')", msg);
|
|
return NULL;
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|
|
}
|
|
|
|
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 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) {
|
|
__Pyx_ZeroBuffer(buf);
|
|
return 0;
|
|
}
|
|
buf->buf = NULL;
|
|
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
|
|
if (buf->ndim != nd) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer has wrong number of dimensions (expected %d, got %d)",
|
|
nd, buf->ndim);
|
|
goto fail;
|
|
}
|
|
if (!cast) {
|
|
__Pyx_BufFmt_Context ctx;
|
|
__Pyx_BufFmt_Init(&ctx, stack, dtype);
|
|
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
|
|
}
|
|
if ((unsigned)buf->itemsize != dtype->size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Item size of buffer (%"PY_FORMAT_SIZE_T"d byte%s) does not match size of '%s' (%"PY_FORMAT_SIZE_T"d byte%s)",
|
|
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
|
|
dtype->name,
|
|
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) {
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
|
|
tmp_type = tstate->curexc_type;
|
|
tmp_value = tstate->curexc_value;
|
|
tmp_tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = type;
|
|
tstate->curexc_value = value;
|
|
tstate->curexc_traceback = tb;
|
|
Py_XDECREF(tmp_type);
|
|
Py_XDECREF(tmp_value);
|
|
Py_XDECREF(tmp_tb);
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
*type = tstate->curexc_type;
|
|
*value = tstate->curexc_value;
|
|
*tb = tstate->curexc_traceback;
|
|
|
|
tstate->curexc_type = 0;
|
|
tstate->curexc_value = 0;
|
|
tstate->curexc_traceback = 0;
|
|
}
|
|
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
"need more than %d value%s to unpack", (int)index,
|
|
#else
|
|
"need more than %zd value%s to unpack", index,
|
|
#endif
|
|
(index == 1) ? "" : "s");
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(void) {
|
|
PyErr_SetString(PyExc_ValueError, "too many values to unpack");
|
|
}
|
|
|
|
static PyObject *__Pyx_UnpackItem(PyObject *iter, Py_ssize_t index) {
|
|
PyObject *item;
|
|
if (!(item = PyIter_Next(iter))) {
|
|
if (!PyErr_Occurred()) {
|
|
__Pyx_RaiseNeedMoreValuesError(index);
|
|
}
|
|
}
|
|
return item;
|
|
}
|
|
|
|
static int __Pyx_EndUnpack(PyObject *iter) {
|
|
PyObject *item;
|
|
if ((item = PyIter_Next(iter))) {
|
|
Py_DECREF(item);
|
|
__Pyx_RaiseTooManyValuesError();
|
|
return -1;
|
|
}
|
|
else if (!PyErr_Occurred())
|
|
return 0;
|
|
else
|
|
return -1;
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
|
|
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
|
|
}
|
|
|
|
static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
|
|
if (t == Py_None) {
|
|
__Pyx_RaiseNoneNotIterableError();
|
|
} else if (PyTuple_GET_SIZE(t) < index) {
|
|
__Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
|
|
} else {
|
|
__Pyx_RaiseTooManyValuesError();
|
|
}
|
|
}
|
|
|
|
static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
|
|
const char *name, int exact)
|
|
{
|
|
if (!type) {
|
|
PyErr_Format(PyExc_SystemError, "Missing type object");
|
|
return 0;
|
|
}
|
|
if (none_allowed && obj == Py_None) return 1;
|
|
else if (exact) {
|
|
if (Py_TYPE(obj) == type) return 1;
|
|
}
|
|
else {
|
|
if (PyObject_TypeCheck(obj, type)) return 1;
|
|
}
|
|
PyErr_Format(PyExc_TypeError,
|
|
"Argument '%s' has incorrect type (expected %s, got %s)",
|
|
name, type->tp_name, Py_TYPE(obj)->tp_name);
|
|
return 0;
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
|
|
#if PY_VERSION_HEX >= 0x02060000
|
|
if (Py_TYPE(obj)->tp_flags & Py_TPFLAGS_HAVE_NEWBUFFER)
|
|
return PyObject_GetBuffer(obj, view, flags);
|
|
#endif
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pf_5numpy_7ndarray___getbuffer__(obj, view, flags);
|
|
else {
|
|
PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
|
|
PyObject* obj = view->obj;
|
|
if (obj) {
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pf_5numpy_7ndarray___releasebuffer__(obj, view);
|
|
Py_DECREF(obj);
|
|
view->obj = NULL;
|
|
}
|
|
}
|
|
|
|
#endif
|
|
|
|
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list) {
|
|
PyObject *__import__ = 0;
|
|
PyObject *empty_list = 0;
|
|
PyObject *module = 0;
|
|
PyObject *global_dict = 0;
|
|
PyObject *empty_dict = 0;
|
|
PyObject *list;
|
|
__import__ = __Pyx_GetAttrString(__pyx_b, "__import__");
|
|
if (!__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;
|
|
module = PyObject_CallFunctionObjArgs(__import__,
|
|
name, global_dict, empty_dict, list, NULL);
|
|
bad:
|
|
Py_XDECREF(empty_list);
|
|
Py_XDECREF(__import__);
|
|
Py_XDECREF(empty_dict);
|
|
return module;
|
|
}
|
|
|
|
static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name) {
|
|
PyObject *result;
|
|
result = PyObject_GetAttr(dict, name);
|
|
if (!result)
|
|
PyErr_SetObject(PyExc_NameError, name);
|
|
return result;
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static PyObject *__Pyx_GetStdout(void) {
|
|
PyObject *f = PySys_GetObject((char *)"stdout");
|
|
if (!f) {
|
|
PyErr_SetString(PyExc_RuntimeError, "lost sys.stdout");
|
|
}
|
|
return f;
|
|
}
|
|
|
|
static int __Pyx_Print(PyObject *arg_tuple, int newline) {
|
|
PyObject *f;
|
|
PyObject* v;
|
|
int i;
|
|
|
|
if (!(f = __Pyx_GetStdout()))
|
|
return -1;
|
|
for (i=0; i < PyTuple_GET_SIZE(arg_tuple); i++) {
|
|
if (PyFile_SoftSpace(f, 1)) {
|
|
if (PyFile_WriteString(" ", f) < 0)
|
|
return -1;
|
|
}
|
|
v = PyTuple_GET_ITEM(arg_tuple, i);
|
|
if (PyFile_WriteObject(v, f, Py_PRINT_RAW) < 0)
|
|
return -1;
|
|
if (PyString_Check(v)) {
|
|
char *s = PyString_AsString(v);
|
|
Py_ssize_t len = PyString_Size(v);
|
|
if (len > 0 &&
|
|
isspace(Py_CHARMASK(s[len-1])) &&
|
|
s[len-1] != ' ')
|
|
PyFile_SoftSpace(f, 0);
|
|
}
|
|
}
|
|
if (newline) {
|
|
if (PyFile_WriteString("\n", f) < 0)
|
|
return -1;
|
|
PyFile_SoftSpace(f, 0);
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
#else /* Python 3 has a print function */
|
|
|
|
static int __Pyx_Print(PyObject *arg_tuple, int newline) {
|
|
PyObject* kwargs = 0;
|
|
PyObject* result = 0;
|
|
PyObject* end_string;
|
|
if (!__pyx_print) {
|
|
__pyx_print = __Pyx_GetAttrString(__pyx_b, "print");
|
|
if (!__pyx_print)
|
|
return -1;
|
|
}
|
|
if (!newline) {
|
|
if (!__pyx_print_kwargs) {
|
|
__pyx_print_kwargs = PyDict_New();
|
|
if (!__pyx_print_kwargs)
|
|
return -1;
|
|
end_string = PyUnicode_FromStringAndSize(" ", 1);
|
|
if (!end_string)
|
|
return -1;
|
|
if (PyDict_SetItemString(__pyx_print_kwargs, "end", end_string) < 0) {
|
|
Py_DECREF(end_string);
|
|
return -1;
|
|
}
|
|
Py_DECREF(end_string);
|
|
}
|
|
kwargs = __pyx_print_kwargs;
|
|
}
|
|
result = PyObject_Call(__pyx_print, arg_tuple, kwargs);
|
|
if (!result)
|
|
return -1;
|
|
Py_DECREF(result);
|
|
return 0;
|
|
}
|
|
|
|
#endif
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
|
|
static int __Pyx_PrintOne(PyObject *o) {
|
|
PyObject *f;
|
|
if (!(f = __Pyx_GetStdout()))
|
|
return -1;
|
|
if (PyFile_SoftSpace(f, 0)) {
|
|
if (PyFile_WriteString(" ", f) < 0)
|
|
return -1;
|
|
}
|
|
if (PyFile_WriteObject(o, f, Py_PRINT_RAW) < 0)
|
|
return -1;
|
|
if (PyFile_WriteString("\n", f) < 0)
|
|
return -1;
|
|
return 0;
|
|
/* the line below is just to avoid compiler
|
|
* compiler warnings about unused functions */
|
|
return __Pyx_Print(NULL, 0);
|
|
}
|
|
|
|
#else /* Python 3 has a print function */
|
|
|
|
static int __Pyx_PrintOne(PyObject *o) {
|
|
int res;
|
|
PyObject* arg_tuple = PyTuple_New(1);
|
|
if (unlikely(!arg_tuple))
|
|
return -1;
|
|
Py_INCREF(o);
|
|
PyTuple_SET_ITEM(arg_tuple, 0, o);
|
|
res = __Pyx_Print(arg_tuple, 1);
|
|
Py_DECREF(arg_tuple);
|
|
return res;
|
|
}
|
|
|
|
#endif
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb) {
|
|
Py_XINCREF(type);
|
|
Py_XINCREF(value);
|
|
Py_XINCREF(tb);
|
|
/* First, check the traceback argument, replacing None with NULL. */
|
|
if (tb == Py_None) {
|
|
Py_DECREF(tb);
|
|
tb = 0;
|
|
}
|
|
else if (tb != NULL && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto raise_error;
|
|
}
|
|
/* Next, replace a missing value with None */
|
|
if (value == NULL) {
|
|
value = Py_None;
|
|
Py_INCREF(value);
|
|
}
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (!PyClass_Check(type))
|
|
#else
|
|
if (!PyType_Check(type))
|
|
#endif
|
|
{
|
|
/* Raising an instance. The value should be a dummy. */
|
|
if (value != Py_None) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto raise_error;
|
|
}
|
|
/* Normalize to raise <class>, <instance> */
|
|
Py_DECREF(value);
|
|
value = type;
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (PyInstance_Check(type)) {
|
|
type = (PyObject*) ((PyInstanceObject*)type)->in_class;
|
|
Py_INCREF(type);
|
|
}
|
|
else {
|
|
type = 0;
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception must be an old-style class or instance");
|
|
goto raise_error;
|
|
}
|
|
#else
|
|
type = (PyObject*) Py_TYPE(type);
|
|
Py_INCREF(type);
|
|
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto raise_error;
|
|
}
|
|
#endif
|
|
}
|
|
|
|
__Pyx_ErrRestore(type, value, tb);
|
|
return;
|
|
raise_error:
|
|
Py_XDECREF(value);
|
|
Py_XDECREF(type);
|
|
Py_XDECREF(tb);
|
|
return;
|
|
}
|
|
|
|
#else /* Python 3+ */
|
|
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb) {
|
|
if (tb == Py_None) {
|
|
tb = 0;
|
|
} else if (tb && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto bad;
|
|
}
|
|
if (value == Py_None)
|
|
value = 0;
|
|
|
|
if (PyExceptionInstance_Check(type)) {
|
|
if (value) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto bad;
|
|
}
|
|
value = type;
|
|
type = (PyObject*) Py_TYPE(value);
|
|
} else if (!PyExceptionClass_Check(type)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto bad;
|
|
}
|
|
|
|
PyErr_SetObject(type, value);
|
|
|
|
if (tb) {
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
PyObject* tmp_tb = tstate->curexc_traceback;
|
|
if (tb != tmp_tb) {
|
|
Py_INCREF(tb);
|
|
tstate->curexc_traceback = tb;
|
|
Py_XDECREF(tmp_tb);
|
|
}
|
|
}
|
|
|
|
bad:
|
|
return;
|
|
}
|
|
#endif
|
|
|
|
#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;
|
|
}
|
|
/*
|
|
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) {
|
|
#if HAVE_HYPOT
|
|
return hypotf(z.real, z.imag);
|
|
#else
|
|
return sqrtf(z.real*z.real + z.imag*z.imag);
|
|
#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;
|
|
}
|
|
/*
|
|
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) {
|
|
#if HAVE_HYPOT
|
|
return hypot(z.real, z.imag);
|
|
#else
|
|
return sqrt(z.real*z.real + z.imag*z.imag);
|
|
#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 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 PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return 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 PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return 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 PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return 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 PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return 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 PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return 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 PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return 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;
|
|
}
|
|
}
|
|
|
|
#ifndef __PYX_HAVE_RT_ImportType
|
|
#define __PYX_HAVE_RT_ImportType
|
|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
|
|
long size, int strict)
|
|
{
|
|
PyObject *py_module = 0;
|
|
PyObject *result = 0;
|
|
PyObject *py_name = 0;
|
|
char warning[200];
|
|
|
|
py_module = __Pyx_ImportModule(module_name);
|
|
if (!py_module)
|
|
goto bad;
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_name = PyString_FromString(class_name);
|
|
#else
|
|
py_name = PyUnicode_FromString(class_name);
|
|
#endif
|
|
if (!py_name)
|
|
goto bad;
|
|
result = PyObject_GetAttr(py_module, py_name);
|
|
Py_DECREF(py_name);
|
|
py_name = 0;
|
|
Py_DECREF(py_module);
|
|
py_module = 0;
|
|
if (!result)
|
|
goto bad;
|
|
if (!PyType_Check(result)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s.%s is not a type object",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
if (!strict && ((PyTypeObject *)result)->tp_basicsize > size) {
|
|
PyOS_snprintf(warning, sizeof(warning),
|
|
"%s.%s size changed, may indicate binary incompatibility",
|
|
module_name, class_name);
|
|
PyErr_WarnEx(NULL, warning, 0);
|
|
}
|
|
else if (((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 0;
|
|
}
|
|
#endif
|
|
|
|
#ifndef __PYX_HAVE_RT_ImportModule
|
|
#define __PYX_HAVE_RT_ImportModule
|
|
static PyObject *__Pyx_ImportModule(const char *name) {
|
|
PyObject *py_name = 0;
|
|
PyObject *py_module = 0;
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_name = PyString_FromString(name);
|
|
#else
|
|
py_name = PyUnicode_FromString(name);
|
|
#endif
|
|
if (!py_name)
|
|
goto bad;
|
|
py_module = PyImport_Import(py_name);
|
|
Py_DECREF(py_name);
|
|
return py_module;
|
|
bad:
|
|
Py_XDECREF(py_name);
|
|
return 0;
|
|
}
|
|
#endif
|
|
|
|
static int __Pyx_GetVtable(PyObject *dict, void *vtabptr) {
|
|
PyObject *ob = PyMapping_GetItemString(dict, (char *)"__pyx_vtable__");
|
|
if (!ob)
|
|
goto bad;
|
|
#if PY_VERSION_HEX < 0x03010000
|
|
*(void **)vtabptr = PyCObject_AsVoidPtr(ob);
|
|
#else
|
|
*(void **)vtabptr = PyCapsule_GetPointer(ob, 0);
|
|
#endif
|
|
if (!*(void **)vtabptr)
|
|
goto bad;
|
|
Py_DECREF(ob);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(ob);
|
|
return -1;
|
|
}
|
|
|
|
#include "compile.h"
|
|
#include "frameobject.h"
|
|
#include "traceback.h"
|
|
|
|
static void __Pyx_AddTraceback(const char *funcname) {
|
|
PyObject *py_srcfile = 0;
|
|
PyObject *py_funcname = 0;
|
|
PyObject *py_globals = 0;
|
|
PyCodeObject *py_code = 0;
|
|
PyFrameObject *py_frame = 0;
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_srcfile = PyString_FromString(__pyx_filename);
|
|
#else
|
|
py_srcfile = PyUnicode_FromString(__pyx_filename);
|
|
#endif
|
|
if (!py_srcfile) goto bad;
|
|
if (__pyx_clineno) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
|
|
#else
|
|
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
|
|
#endif
|
|
}
|
|
else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromString(funcname);
|
|
#else
|
|
py_funcname = PyUnicode_FromString(funcname);
|
|
#endif
|
|
}
|
|
if (!py_funcname) goto bad;
|
|
py_globals = PyModule_GetDict(__pyx_m);
|
|
if (!py_globals) goto bad;
|
|
py_code = PyCode_New(
|
|
0, /*int argcount,*/
|
|
#if PY_MAJOR_VERSION >= 3
|
|
0, /*int kwonlyargcount,*/
|
|
#endif
|
|
0, /*int nlocals,*/
|
|
0, /*int stacksize,*/
|
|
0, /*int flags,*/
|
|
__pyx_empty_bytes, /*PyObject *code,*/
|
|
__pyx_empty_tuple, /*PyObject *consts,*/
|
|
__pyx_empty_tuple, /*PyObject *names,*/
|
|
__pyx_empty_tuple, /*PyObject *varnames,*/
|
|
__pyx_empty_tuple, /*PyObject *freevars,*/
|
|
__pyx_empty_tuple, /*PyObject *cellvars,*/
|
|
py_srcfile, /*PyObject *filename,*/
|
|
py_funcname, /*PyObject *name,*/
|
|
__pyx_lineno, /*int firstlineno,*/
|
|
__pyx_empty_bytes /*PyObject *lnotab*/
|
|
);
|
|
if (!py_code) goto bad;
|
|
py_frame = PyFrame_New(
|
|
PyThreadState_GET(), /*PyThreadState *tstate,*/
|
|
py_code, /*PyCodeObject *code,*/
|
|
py_globals, /*PyObject *globals,*/
|
|
0 /*PyObject *locals*/
|
|
);
|
|
if (!py_frame) goto bad;
|
|
py_frame->f_lineno = __pyx_lineno;
|
|
PyTraceBack_Here(py_frame);
|
|
bad:
|
|
Py_XDECREF(py_srcfile);
|
|
Py_XDECREF(py_funcname);
|
|
Py_XDECREF(py_code);
|
|
Py_XDECREF(py_frame);
|
|
}
|
|
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
|
|
while (t->p) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (t->is_unicode) {
|
|
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
|
|
} else if (t->intern) {
|
|
*t->p = PyString_InternFromString(t->s);
|
|
} else {
|
|
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
#else /* Python 3+ has unicode identifiers */
|
|
if (t->is_unicode | t->is_str) {
|
|
if (t->intern) {
|
|
*t->p = PyUnicode_InternFromString(t->s);
|
|
} else if (t->encoding) {
|
|
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
|
|
} else {
|
|
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
} else {
|
|
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
#endif
|
|
if (!*t->p)
|
|
return -1;
|
|
++t;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/* Type Conversion Functions */
|
|
|
|
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
|
|
if (x == Py_True) return 1;
|
|
else if ((x == Py_False) | (x == Py_None)) return 0;
|
|
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 */
|