12940 lines
526 KiB
C
12940 lines
526 KiB
C
/* Generated by Cython 0.15.1 on Thu May 3 20:20:57 2012 */
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#define PY_SSIZE_T_CLEAN
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#include "Python.h"
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#ifndef Py_PYTHON_H
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#error Python headers needed to compile C extensions, please install development version of Python.
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#else
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#include <stddef.h> /* For offsetof */
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#ifndef offsetof
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#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
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#endif
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#if !defined(WIN32) && !defined(MS_WINDOWS)
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#ifndef __stdcall
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#define __stdcall
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#endif
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#ifndef __cdecl
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#define __cdecl
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#endif
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#ifndef __fastcall
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#define __fastcall
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#endif
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#endif
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#ifndef DL_IMPORT
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#define DL_IMPORT(t) t
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#endif
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#ifndef DL_EXPORT
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#define DL_EXPORT(t) t
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#endif
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#ifndef PY_LONG_LONG
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#define PY_LONG_LONG LONG_LONG
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#endif
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#if PY_VERSION_HEX < 0x02040000
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#define METH_COEXIST 0
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#define PyDict_CheckExact(op) (Py_TYPE(op) == &PyDict_Type)
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#define PyDict_Contains(d,o) PySequence_Contains(d,o)
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#endif
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#if PY_VERSION_HEX < 0x02050000
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typedef int Py_ssize_t;
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#define PY_SSIZE_T_MAX INT_MAX
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#define PY_SSIZE_T_MIN INT_MIN
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#define PY_FORMAT_SIZE_T ""
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#define PyInt_FromSsize_t(z) PyInt_FromLong(z)
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#define PyInt_AsSsize_t(o) __Pyx_PyInt_AsInt(o)
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#define PyNumber_Index(o) PyNumber_Int(o)
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#define PyIndex_Check(o) PyNumber_Check(o)
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#define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message)
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#endif
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#if PY_VERSION_HEX < 0x02060000
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#define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt)
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#define Py_TYPE(ob) (((PyObject*)(ob))->ob_type)
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#define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size)
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#define PyVarObject_HEAD_INIT(type, size) \
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PyObject_HEAD_INIT(type) size,
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#define PyType_Modified(t)
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typedef struct {
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void *buf;
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PyObject *obj;
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Py_ssize_t len;
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Py_ssize_t itemsize;
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int readonly;
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int ndim;
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char *format;
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Py_ssize_t *shape;
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Py_ssize_t *strides;
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Py_ssize_t *suboffsets;
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void *internal;
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} Py_buffer;
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#define PyBUF_SIMPLE 0
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#define PyBUF_WRITABLE 0x0001
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#define PyBUF_FORMAT 0x0004
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#define PyBUF_ND 0x0008
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#define PyBUF_STRIDES (0x0010 | PyBUF_ND)
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#define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES)
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#define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES)
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#define PyBUF_ANY_CONTIGUOUS (0x0080 | PyBUF_STRIDES)
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#define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES)
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#endif
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#if PY_MAJOR_VERSION < 3
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#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
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#else
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define Py_TPFLAGS_CHECKTYPES 0
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#define Py_TPFLAGS_HAVE_INDEX 0
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#endif
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#if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3)
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#define Py_TPFLAGS_HAVE_NEWBUFFER 0
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyBaseString_Type PyUnicode_Type
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#define PyStringObject PyUnicodeObject
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#define PyString_Type PyUnicode_Type
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#define PyString_Check PyUnicode_Check
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#define PyString_CheckExact PyUnicode_CheckExact
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#endif
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#if PY_VERSION_HEX < 0x02060000
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#define PyBytesObject PyStringObject
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#define PyBytes_Type PyString_Type
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#define PyBytes_Check PyString_Check
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#define PyBytes_CheckExact PyString_CheckExact
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#define PyBytes_FromString PyString_FromString
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#define PyBytes_FromStringAndSize PyString_FromStringAndSize
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#define PyBytes_FromFormat PyString_FromFormat
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#define PyBytes_DecodeEscape PyString_DecodeEscape
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#define PyBytes_AsString PyString_AsString
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#define PyBytes_AsStringAndSize PyString_AsStringAndSize
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#define PyBytes_Size PyString_Size
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#define PyBytes_AS_STRING PyString_AS_STRING
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#define PyBytes_GET_SIZE PyString_GET_SIZE
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#define PyBytes_Repr PyString_Repr
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#define PyBytes_Concat PyString_Concat
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#define PyBytes_ConcatAndDel PyString_ConcatAndDel
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#endif
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#if PY_VERSION_HEX < 0x02060000
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#define PySet_Check(obj) PyObject_TypeCheck(obj, &PySet_Type)
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#define PyFrozenSet_Check(obj) PyObject_TypeCheck(obj, &PyFrozenSet_Type)
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#endif
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#ifndef PySet_CheckExact
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#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
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#endif
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#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
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#if PY_MAJOR_VERSION >= 3
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#define PyIntObject PyLongObject
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#define PyInt_Type PyLong_Type
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#define PyInt_Check(op) PyLong_Check(op)
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#define PyInt_CheckExact(op) PyLong_CheckExact(op)
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#define PyInt_FromString PyLong_FromString
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#define PyInt_FromUnicode PyLong_FromUnicode
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#define PyInt_FromLong PyLong_FromLong
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#define PyInt_FromSize_t PyLong_FromSize_t
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#define PyInt_FromSsize_t PyLong_FromSsize_t
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#define PyInt_AsLong PyLong_AsLong
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#define PyInt_AS_LONG PyLong_AS_LONG
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#define PyInt_AsSsize_t PyLong_AsSsize_t
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#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
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#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyBoolObject PyLongObject
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#endif
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#if PY_VERSION_HEX < 0x03020000
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typedef long Py_hash_t;
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#define __Pyx_PyInt_FromHash_t PyInt_FromLong
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#define __Pyx_PyInt_AsHash_t PyInt_AsLong
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#else
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#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
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#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#else
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#endif
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#if (PY_MAJOR_VERSION < 3) || (PY_VERSION_HEX >= 0x03010300)
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#define __Pyx_PySequence_GetSlice(obj, a, b) PySequence_GetSlice(obj, a, b)
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#define __Pyx_PySequence_SetSlice(obj, a, b, value) PySequence_SetSlice(obj, a, b, value)
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#define __Pyx_PySequence_DelSlice(obj, a, b) PySequence_DelSlice(obj, a, b)
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#else
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#define __Pyx_PySequence_GetSlice(obj, a, b) (unlikely(!(obj)) ? \
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(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), (PyObject*)0) : \
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \
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(PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", (obj)->ob_type->tp_name), (PyObject*)0)))
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#define __Pyx_PySequence_SetSlice(obj, a, b, value) (unlikely(!(obj)) ? \
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(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_SetSlice(obj, a, b, value)) : \
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(PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice assignment", (obj)->ob_type->tp_name), -1)))
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#define __Pyx_PySequence_DelSlice(obj, a, b) (unlikely(!(obj)) ? \
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(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_DelSlice(obj, a, b)) : \
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(PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice deletion", (obj)->ob_type->tp_name), -1)))
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#endif
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#if PY_MAJOR_VERSION >= 3
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#define PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
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#endif
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#if PY_VERSION_HEX < 0x02050000
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#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),((char *)(n)))
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#define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),((char *)(n)),(a))
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#define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),((char *)(n)))
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#else
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#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n))
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#define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),(n),(a))
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#define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),(n))
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#endif
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#if PY_VERSION_HEX < 0x02050000
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#define __Pyx_NAMESTR(n) ((char *)(n))
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#define __Pyx_DOCSTR(n) ((char *)(n))
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#else
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#define __Pyx_NAMESTR(n) (n)
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#define __Pyx_DOCSTR(n) (n)
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#endif
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#ifndef __PYX_EXTERN_C
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#ifdef __cplusplus
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#define __PYX_EXTERN_C extern "C"
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#else
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#define __PYX_EXTERN_C extern
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#endif
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#endif
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#if defined(WIN32) || defined(MS_WINDOWS)
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#define _USE_MATH_DEFINES
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#endif
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#include <math.h>
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#define __PYX_HAVE__sklearn__linear_model__sgd_fast
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#define __PYX_HAVE_API__sklearn__linear_model__sgd_fast
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#include "stdio.h"
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#include "stdlib.h"
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#include "numpy/arrayobject.h"
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#include "numpy/ufuncobject.h"
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#include "math.h"
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#ifdef _OPENMP
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#include <omp.h>
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#endif /* _OPENMP */
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#ifdef PYREX_WITHOUT_ASSERTIONS
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#define CYTHON_WITHOUT_ASSERTIONS
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#endif
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/* inline attribute */
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#ifndef CYTHON_INLINE
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#if defined(__GNUC__)
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#define CYTHON_INLINE __inline__
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#elif defined(_MSC_VER)
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#define CYTHON_INLINE __inline
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#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
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#define CYTHON_INLINE inline
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#else
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#define CYTHON_INLINE
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#endif
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#endif
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/* unused attribute */
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#ifndef CYTHON_UNUSED
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# if defined(__GNUC__)
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# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
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# define CYTHON_UNUSED __attribute__ ((__unused__))
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# else
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# define CYTHON_UNUSED
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# endif
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# elif defined(__ICC) || defined(__INTEL_COMPILER)
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# define CYTHON_UNUSED __attribute__ ((__unused__))
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# else
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# define CYTHON_UNUSED
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# endif
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#endif
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typedef struct {PyObject **p; char *s; const long n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/
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/* Type Conversion Predeclarations */
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#define __Pyx_PyBytes_FromUString(s) PyBytes_FromString((char*)s)
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#define __Pyx_PyBytes_AsUString(s) ((unsigned char*) PyBytes_AsString(s))
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#define __Pyx_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None)
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#define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False))
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static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
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static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x);
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static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
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static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
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static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*);
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#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
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#ifdef __GNUC__
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/* Test for GCC > 2.95 */
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#if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))
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#define likely(x) __builtin_expect(!!(x), 1)
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#define unlikely(x) __builtin_expect(!!(x), 0)
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#else /* __GNUC__ > 2 ... */
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#define likely(x) (x)
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#define unlikely(x) (x)
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#endif /* __GNUC__ > 2 ... */
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#else /* __GNUC__ */
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#define likely(x) (x)
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#define unlikely(x) (x)
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#endif /* __GNUC__ */
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static PyObject *__pyx_m;
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static PyObject *__pyx_b;
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static PyObject *__pyx_empty_tuple;
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static PyObject *__pyx_empty_bytes;
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static int __pyx_lineno;
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static int __pyx_clineno = 0;
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static const char * __pyx_cfilenm= __FILE__;
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static const char *__pyx_filename;
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#if !defined(CYTHON_CCOMPLEX)
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#if defined(__cplusplus)
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#define CYTHON_CCOMPLEX 1
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#elif defined(_Complex_I)
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#define CYTHON_CCOMPLEX 1
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#else
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#define CYTHON_CCOMPLEX 0
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#endif
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#endif
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#if CYTHON_CCOMPLEX
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#ifdef __cplusplus
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#include <complex>
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#else
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#include <complex.h>
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#endif
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#endif
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#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
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#undef _Complex_I
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#define _Complex_I 1.0fj
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#endif
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static const char *__pyx_f[] = {
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"sgd_fast.pyx",
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"numpy.pxd",
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"weight_vector.pxd",
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"seq_dataset.pxd",
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};
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/* "numpy.pxd":719
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* # in Cython to enable them only on the right systems.
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*
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* ctypedef npy_int8 int8_t # <<<<<<<<<<<<<<
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* ctypedef npy_int16 int16_t
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* ctypedef npy_int32 int32_t
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*/
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typedef npy_int8 __pyx_t_5numpy_int8_t;
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/* "numpy.pxd":720
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*
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* ctypedef npy_int8 int8_t
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* ctypedef npy_int16 int16_t # <<<<<<<<<<<<<<
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* ctypedef npy_int32 int32_t
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* ctypedef npy_int64 int64_t
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*/
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typedef npy_int16 __pyx_t_5numpy_int16_t;
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|
|
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/* "numpy.pxd":721
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* ctypedef npy_int8 int8_t
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* ctypedef npy_int16 int16_t
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* ctypedef npy_int32 int32_t # <<<<<<<<<<<<<<
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* ctypedef npy_int64 int64_t
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* #ctypedef npy_int96 int96_t
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|
*/
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typedef npy_int32 __pyx_t_5numpy_int32_t;
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|
|
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/* "numpy.pxd":722
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* ctypedef npy_int16 int16_t
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* ctypedef npy_int32 int32_t
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* ctypedef npy_int64 int64_t # <<<<<<<<<<<<<<
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* #ctypedef npy_int96 int96_t
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* #ctypedef npy_int128 int128_t
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*/
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typedef npy_int64 __pyx_t_5numpy_int64_t;
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/* "numpy.pxd":726
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* #ctypedef npy_int128 int128_t
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*
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* ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<<
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* ctypedef npy_uint16 uint16_t
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* ctypedef npy_uint32 uint32_t
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*/
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typedef npy_uint8 __pyx_t_5numpy_uint8_t;
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/* "numpy.pxd":727
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*
|
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* ctypedef npy_uint8 uint8_t
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* ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<<
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* ctypedef npy_uint32 uint32_t
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* ctypedef npy_uint64 uint64_t
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*/
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typedef npy_uint16 __pyx_t_5numpy_uint16_t;
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/* "numpy.pxd":728
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* ctypedef npy_uint8 uint8_t
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* ctypedef npy_uint16 uint16_t
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* ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<<
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* ctypedef npy_uint64 uint64_t
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* #ctypedef npy_uint96 uint96_t
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*/
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typedef npy_uint32 __pyx_t_5numpy_uint32_t;
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/* "numpy.pxd":729
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* ctypedef npy_uint16 uint16_t
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* ctypedef npy_uint32 uint32_t
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* ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<<
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* #ctypedef npy_uint96 uint96_t
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* #ctypedef npy_uint128 uint128_t
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*/
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typedef npy_uint64 __pyx_t_5numpy_uint64_t;
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/* "numpy.pxd":733
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* #ctypedef npy_uint128 uint128_t
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*
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* ctypedef npy_float32 float32_t # <<<<<<<<<<<<<<
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* ctypedef npy_float64 float64_t
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* #ctypedef npy_float80 float80_t
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*/
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typedef npy_float32 __pyx_t_5numpy_float32_t;
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/* "numpy.pxd":734
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*
|
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* ctypedef npy_float32 float32_t
|
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* ctypedef npy_float64 float64_t # <<<<<<<<<<<<<<
|
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* #ctypedef npy_float80 float80_t
|
|
* #ctypedef npy_float128 float128_t
|
|
*/
|
|
typedef npy_float64 __pyx_t_5numpy_float64_t;
|
|
|
|
/* "numpy.pxd":743
|
|
* # The int types are mapped a bit surprising --
|
|
* # numpy.int corresponds to 'l' and numpy.long to 'q'
|
|
* ctypedef npy_long int_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longlong long_t
|
|
* ctypedef npy_longlong longlong_t
|
|
*/
|
|
typedef npy_long __pyx_t_5numpy_int_t;
|
|
|
|
/* "numpy.pxd":744
|
|
* # numpy.int corresponds to 'l' and numpy.long to 'q'
|
|
* ctypedef npy_long int_t
|
|
* ctypedef npy_longlong long_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longlong longlong_t
|
|
*
|
|
*/
|
|
typedef npy_longlong __pyx_t_5numpy_long_t;
|
|
|
|
/* "numpy.pxd":745
|
|
* ctypedef npy_long int_t
|
|
* ctypedef npy_longlong long_t
|
|
* ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_ulong uint_t
|
|
*/
|
|
typedef npy_longlong __pyx_t_5numpy_longlong_t;
|
|
|
|
/* "numpy.pxd":747
|
|
* ctypedef npy_longlong longlong_t
|
|
*
|
|
* ctypedef npy_ulong uint_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulong_t
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*/
|
|
typedef npy_ulong __pyx_t_5numpy_uint_t;
|
|
|
|
/* "numpy.pxd":748
|
|
*
|
|
* ctypedef npy_ulong uint_t
|
|
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
|
|
|
|
/* "numpy.pxd":749
|
|
* ctypedef npy_ulong uint_t
|
|
* ctypedef npy_ulonglong ulong_t
|
|
* ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_intp intp_t
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
|
|
|
|
/* "numpy.pxd":751
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uintp uintp_t
|
|
*
|
|
*/
|
|
typedef npy_intp __pyx_t_5numpy_intp_t;
|
|
|
|
/* "numpy.pxd":752
|
|
*
|
|
* ctypedef npy_intp intp_t
|
|
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_double float_t
|
|
*/
|
|
typedef npy_uintp __pyx_t_5numpy_uintp_t;
|
|
|
|
/* "numpy.pxd":754
|
|
* ctypedef npy_uintp uintp_t
|
|
*
|
|
* ctypedef npy_double float_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_double double_t
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_float_t;
|
|
|
|
/* "numpy.pxd":755
|
|
*
|
|
* ctypedef npy_double float_t
|
|
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_double_t;
|
|
|
|
/* "numpy.pxd":756
|
|
* ctypedef npy_double float_t
|
|
* ctypedef npy_double double_t
|
|
* ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
|
|
*/
|
|
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
|
|
|
|
/* "sklearn/utils/weight_vector.pxd":10
|
|
*
|
|
*
|
|
* ctypedef np.float64_t DOUBLE # <<<<<<<<<<<<<<
|
|
* ctypedef np.int32_t INTEGER
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_5utils_13weight_vector_DOUBLE;
|
|
|
|
/* "sklearn/utils/weight_vector.pxd":11
|
|
*
|
|
* ctypedef np.float64_t DOUBLE
|
|
* ctypedef np.int32_t INTEGER # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_int32_t __pyx_t_7sklearn_5utils_13weight_vector_INTEGER;
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":5
|
|
* cimport numpy as np
|
|
*
|
|
* ctypedef np.float64_t DOUBLE # <<<<<<<<<<<<<<
|
|
* ctypedef np.int32_t INTEGER
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE;
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":6
|
|
*
|
|
* ctypedef np.float64_t DOUBLE
|
|
* ctypedef np.int32_t INTEGER # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_int32_t __pyx_t_7sklearn_5utils_11seq_dataset_INTEGER;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":28
|
|
* cdef extern double pow(double x, double y)
|
|
*
|
|
* ctypedef np.float64_t DOUBLE # <<<<<<<<<<<<<<
|
|
* ctypedef np.int32_t INTEGER
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_12linear_model_8sgd_fast_DOUBLE;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":29
|
|
*
|
|
* ctypedef np.float64_t DOUBLE
|
|
* ctypedef np.int32_t INTEGER # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
typedef __pyx_t_5numpy_int32_t __pyx_t_7sklearn_12linear_model_8sgd_fast_INTEGER;
|
|
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
typedef ::std::complex< float > __pyx_t_float_complex;
|
|
#else
|
|
typedef float _Complex __pyx_t_float_complex;
|
|
#endif
|
|
#else
|
|
typedef struct { float real, imag; } __pyx_t_float_complex;
|
|
#endif
|
|
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
typedef ::std::complex< double > __pyx_t_double_complex;
|
|
#else
|
|
typedef double _Complex __pyx_t_double_complex;
|
|
#endif
|
|
#else
|
|
typedef struct { double real, imag; } __pyx_t_double_complex;
|
|
#endif
|
|
|
|
/*--- Type declarations ---*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber;
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_CSRDataset;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge;
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_ArrayDataset;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber;
|
|
struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector;
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLoss;
|
|
|
|
/* "numpy.pxd":758
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_cdouble cdouble_t
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*/
|
|
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
|
|
|
|
/* "numpy.pxd":759
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
|
|
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
|
|
|
|
/* "numpy.pxd":760
|
|
* ctypedef npy_cfloat cfloat_t
|
|
* ctypedef npy_cdouble cdouble_t
|
|
* ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_cdouble complex_t
|
|
*/
|
|
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
|
|
|
|
/* "numpy.pxd":762
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef inline object PyArray_MultiIterNew1(a):
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_complex_t;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":47
|
|
* # ----------------------------------------
|
|
*
|
|
* cdef class LossFunction: # <<<<<<<<<<<<<<
|
|
* """Base class for convex loss functions"""
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_vtab;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":85
|
|
*
|
|
*
|
|
* cdef class Regression(LossFunction): # <<<<<<<<<<<<<<
|
|
* """Base class for loss functions for regression"""
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":204
|
|
*
|
|
*
|
|
* cdef class Huber(Regression): # <<<<<<<<<<<<<<
|
|
* """Huber regression loss
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
|
|
double c;
|
|
};
|
|
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":9
|
|
*
|
|
*
|
|
* cdef class SequentialDataset: # <<<<<<<<<<<<<<
|
|
* cdef Py_ssize_t n_samples
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_vtab;
|
|
Py_ssize_t n_samples;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":240
|
|
*
|
|
*
|
|
* cdef class EpsilonInsensitive(Regression): # <<<<<<<<<<<<<<
|
|
* """Epsilon-Insensitive loss (used by SVR).
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
|
|
double epsilon;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":95
|
|
*
|
|
*
|
|
* cdef class Classification(LossFunction): # <<<<<<<<<<<<<<
|
|
* """Base class for loss functions for classification"""
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":34
|
|
*
|
|
*
|
|
* cdef class CSRDataset(SequentialDataset): # <<<<<<<<<<<<<<
|
|
* cdef int current_index
|
|
* cdef int stride
|
|
*/
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_CSRDataset {
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset __pyx_base;
|
|
int current_index;
|
|
int stride;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *X_data_ptr;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_INTEGER *X_indptr_ptr;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_INTEGER *X_indices_ptr;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *Y_data_ptr;
|
|
PyArrayObject *feature_indices;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_INTEGER *feature_indices_ptr;
|
|
PyArrayObject *index;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_INTEGER *index_data_ptr;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *sample_weight_data;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":167
|
|
*
|
|
*
|
|
* cdef class Log(Classification): # <<<<<<<<<<<<<<
|
|
* """Logistic regression loss for binary classification with y in {-1, 1}"""
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":135
|
|
*
|
|
*
|
|
* cdef class Hinge(Classification): # <<<<<<<<<<<<<<
|
|
* """Hinge loss for binary classification tasks with y in {-1,1}
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
double threshold;
|
|
};
|
|
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":17
|
|
*
|
|
*
|
|
* cdef class ArrayDataset(SequentialDataset): # <<<<<<<<<<<<<<
|
|
* cdef Py_ssize_t n_features
|
|
* cdef int current_index
|
|
*/
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_ArrayDataset {
|
|
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset __pyx_base;
|
|
Py_ssize_t n_features;
|
|
int current_index;
|
|
int stride;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *X_data_ptr;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *Y_data_ptr;
|
|
PyArrayObject *feature_indices;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_INTEGER *feature_indices_ptr;
|
|
PyArrayObject *index;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_INTEGER *index_data_ptr;
|
|
__pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *sample_weight_data;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":105
|
|
*
|
|
*
|
|
* cdef class ModifiedHuber(Classification): # <<<<<<<<<<<<<<
|
|
* """Modified Huber loss for binary classification with y in {-1, 1}
|
|
*
|
|
*/
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber {
|
|
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
|
|
|
|
/* "sklearn/utils/weight_vector.pxd":14
|
|
*
|
|
*
|
|
* cdef class WeightVector(object): # <<<<<<<<<<<<<<
|
|
* cdef np.ndarray w
|
|
* cdef DOUBLE *w_data_ptr
|
|
*/
|
|
struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector {
|
|
PyObject_HEAD
|
|
struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *__pyx_vtab;
|
|
PyArrayObject *w;
|
|
__pyx_t_7sklearn_5utils_13weight_vector_DOUBLE *w_data_ptr;
|
|
double wscale;
|
|
Py_ssize_t n_features;
|
|
double sq_norm;
|
|
};
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":192
|
|
*
|
|
*
|
|
* cdef class SquaredLoss(Regression): # <<<<<<<<<<<<<<
|
|
* """Squared loss traditional used in linear regression."""
|
|
* cpdef double loss(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;
|
|
};
|
|
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":47
|
|
* # ----------------------------------------
|
|
*
|
|
* cdef class LossFunction: # <<<<<<<<<<<<<<
|
|
* """Base class for convex loss functions"""
|
|
*
|
|
*/
|
|
|
|
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);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunction;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":85
|
|
*
|
|
*
|
|
* cdef class Regression(LossFunction): # <<<<<<<<<<<<<<
|
|
* """Base class for loss functions for regression"""
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":192
|
|
*
|
|
*
|
|
* cdef class SquaredLoss(Regression): # <<<<<<<<<<<<<<
|
|
* """Squared loss traditional used in linear regression."""
|
|
* cpdef double loss(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;
|
|
|
|
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/* "sklearn/linear_model/sgd_fast.pyx":95
|
|
*
|
|
*
|
|
* cdef class Classification(LossFunction): # <<<<<<<<<<<<<<
|
|
* """Base class for loss functions for classification"""
|
|
*
|
|
*/
|
|
|
|
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;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":105
|
|
*
|
|
*
|
|
* cdef class ModifiedHuber(Classification): # <<<<<<<<<<<<<<
|
|
* """Modified Huber loss for binary classification with y in {-1, 1}
|
|
*
|
|
*/
|
|
|
|
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;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":167
|
|
*
|
|
*
|
|
* cdef class Log(Classification): # <<<<<<<<<<<<<<
|
|
* """Logistic regression loss for binary classification with y in {-1, 1}"""
|
|
*
|
|
*/
|
|
|
|
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;
|
|
|
|
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|
/* "sklearn/utils/seq_dataset.pxd":9
|
|
*
|
|
*
|
|
* cdef class SequentialDataset: # <<<<<<<<<<<<<<
|
|
* cdef Py_ssize_t n_samples
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset {
|
|
void (*next)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *, __pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE **, __pyx_t_7sklearn_5utils_11seq_dataset_INTEGER **, int *, __pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *, __pyx_t_7sklearn_5utils_11seq_dataset_DOUBLE *);
|
|
void (*shuffle)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *, PyObject *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_vtabptr_7sklearn_5utils_11seq_dataset_SequentialDataset;
|
|
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":17
|
|
*
|
|
*
|
|
* cdef class ArrayDataset(SequentialDataset): # <<<<<<<<<<<<<<
|
|
* cdef Py_ssize_t n_features
|
|
* cdef int current_index
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_ArrayDataset {
|
|
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_ArrayDataset *__pyx_vtabptr_7sklearn_5utils_11seq_dataset_ArrayDataset;
|
|
|
|
|
|
/* "sklearn/utils/seq_dataset.pxd":34
|
|
*
|
|
*
|
|
* cdef class CSRDataset(SequentialDataset): # <<<<<<<<<<<<<<
|
|
* cdef int current_index
|
|
* cdef int stride
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_CSRDataset {
|
|
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_CSRDataset *__pyx_vtabptr_7sklearn_5utils_11seq_dataset_CSRDataset;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":240
|
|
*
|
|
*
|
|
* cdef class EpsilonInsensitive(Regression): # <<<<<<<<<<<<<<
|
|
* """Epsilon-Insensitive loss (used by SVR).
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":204
|
|
*
|
|
*
|
|
* cdef class Huber(Regression): # <<<<<<<<<<<<<<
|
|
* """Huber regression loss
|
|
*
|
|
*/
|
|
|
|
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;
|
|
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":135
|
|
*
|
|
*
|
|
* cdef class Hinge(Classification): # <<<<<<<<<<<<<<
|
|
* """Hinge loss for binary classification tasks with y in {-1,1}
|
|
*
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Hinge {
|
|
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification __pyx_base;
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Hinge *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge;
|
|
|
|
|
|
/* "sklearn/utils/weight_vector.pxd":14
|
|
*
|
|
*
|
|
* cdef class WeightVector(object): # <<<<<<<<<<<<<<
|
|
* cdef np.ndarray w
|
|
* cdef DOUBLE *w_data_ptr
|
|
*/
|
|
|
|
struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector {
|
|
void (*add)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, __pyx_t_7sklearn_5utils_13weight_vector_DOUBLE *, __pyx_t_7sklearn_5utils_13weight_vector_INTEGER *, int, double);
|
|
double (*dot)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, __pyx_t_7sklearn_5utils_13weight_vector_DOUBLE *, __pyx_t_7sklearn_5utils_13weight_vector_INTEGER *, int);
|
|
void (*scale)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, double);
|
|
void (*reset_wscale)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *);
|
|
double (*norm)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *);
|
|
};
|
|
static struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *__pyx_vtabptr_7sklearn_5utils_13weight_vector_WeightVector;
|
|
|
|
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typedef struct {
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void (*INCREF)(void*, PyObject*, int);
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void (*DECREF)(void*, PyObject*, int);
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void (*GOTREF)(void*, PyObject*, int);
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void (*GIVEREF)(void*, PyObject*, int);
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void* (*SetupContext)(const char*, int, const char*);
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void (*FinishContext)(void**);
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#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
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#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
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#define __Pyx_GIVEREF(r)
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#define __Pyx_XINCREF(r) Py_XINCREF(r)
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#define __Pyx_XDECREF(r) Py_XDECREF(r)
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#define __Pyx_XGIVEREF(r)
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static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name); /*proto*/
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static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/
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static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/
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static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/
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static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
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Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); /*proto*/
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static void __Pyx_RaiseDoubleKeywordsError(
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const char* func_name, PyObject* kw_name); /*proto*/
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static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name); /*proto*/
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static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
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const char *name, int exact); /*proto*/
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/* Run-time type information about structs used with buffers */
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struct __Pyx_StructField_;
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typedef struct {
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const char* name; /* for error messages only */
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struct __Pyx_StructField_* fields;
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size_t size; /* sizeof(type) */
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char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject */
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} __Pyx_TypeInfo;
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typedef struct __Pyx_StructField_ {
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__Pyx_TypeInfo* type;
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const char* name;
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size_t offset;
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typedef struct {
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__Pyx_StructField* field;
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size_t parent_offset;
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} __Pyx_BufFmt_StackElem;
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static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack);
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static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);
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static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/
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static void __Pyx_RaiseBufferFallbackError(void); /*proto*/
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static CYTHON_INLINE 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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r = PyObject_GetItem(o, j);
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Py_DECREF(j);
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|
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#define __Pyx_GetItemInt_List(o, i, size, to_py_func) (((size) <= sizeof(Py_ssize_t)) ? \
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__Pyx_GetItemInt_List_Fast(o, i) : \
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__Pyx_GetItemInt_Generic(o, to_py_func(i)))
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static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i) {
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if (likely(o != Py_None)) {
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if (likely((0 <= i) & (i < PyList_GET_SIZE(o)))) {
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PyObject *r = PyList_GET_ITEM(o, i);
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Py_INCREF(r);
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return r;
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}
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else if ((-PyList_GET_SIZE(o) <= i) & (i < 0)) {
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PyObject *r = PyList_GET_ITEM(o, PyList_GET_SIZE(o) + i);
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Py_INCREF(r);
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return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
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#define __Pyx_GetItemInt_Tuple(o, i, size, to_py_func) (((size) <= sizeof(Py_ssize_t)) ? \
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__Pyx_GetItemInt_Tuple_Fast(o, i) : \
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__Pyx_GetItemInt_Generic(o, to_py_func(i)))
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|
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i) {
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if (likely(o != Py_None)) {
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if (likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) {
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PyObject *r = PyTuple_GET_ITEM(o, i);
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Py_INCREF(r);
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return r;
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}
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else if ((-PyTuple_GET_SIZE(o) <= i) & (i < 0)) {
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PyObject *r = PyTuple_GET_ITEM(o, PyTuple_GET_SIZE(o) + i);
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Py_INCREF(r);
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return r;
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}
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return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
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}
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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) : \
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__Pyx_GetItemInt_Generic(o, to_py_func(i)))
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|
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static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i) {
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PyObject *r;
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if (PyList_CheckExact(o) && ((0 <= i) & (i < PyList_GET_SIZE(o)))) {
|
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r = PyList_GET_ITEM(o, i);
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Py_INCREF(r);
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}
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else if (PyTuple_CheckExact(o) && ((0 <= i) & (i < PyTuple_GET_SIZE(o)))) {
|
|
r = PyTuple_GET_ITEM(o, i);
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Py_INCREF(r);
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else if (Py_TYPE(o)->tp_as_sequence && Py_TYPE(o)->tp_as_sequence->sq_item && (likely(i >= 0))) {
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r = PySequence_GetItem(o, i);
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else {
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r = __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
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static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
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static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
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static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
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static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); /*proto*/
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#if PY_MAJOR_VERSION < 3
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static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
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static void __Pyx_ReleaseBuffer(Py_buffer *view);
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#define __Pyx_GetBuffer PyObject_GetBuffer
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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, long level); /*proto*/
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static int __Pyx_Print(PyObject*, PyObject *, int); /*proto*/
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static int __Pyx_PrintOne(PyObject* stream, PyObject *o); /*proto*/
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static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__weights,&__pyx_n_s__intercept,&__pyx_n_s__loss,&__pyx_n_s__penalty_type,&__pyx_n_s__alpha,&__pyx_n_s__rho,&__pyx_n_s__dataset,&__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__learning_rate,&__pyx_n_s__eta0,&__pyx_n_s__power_t,&__pyx_n_s__t,&__pyx_n_s__intercept_decay,0};
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__Pyx_RefNannySetupContext("plain_sgd");
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__pyx_self = __pyx_self;
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{
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PyObject* values[19] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
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if (unlikely(__pyx_kwds)) {
|
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Py_ssize_t kw_args;
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
case 0: break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
kw_args = PyDict_Size(__pyx_kwds);
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 0:
|
|
values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__weights);
|
|
if (likely(values[0])) kw_args--;
|
|
else goto __pyx_L5_argtuple_error;
|
|
case 1:
|
|
values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__intercept);
|
|
if (likely(values[1])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 2:
|
|
values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__loss);
|
|
if (likely(values[2])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 3:
|
|
values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__penalty_type);
|
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if (likely(values[3])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 4:
|
|
values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__alpha);
|
|
if (likely(values[4])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 5:
|
|
values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__rho);
|
|
if (likely(values[5])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 6:
|
|
values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__dataset);
|
|
if (likely(values[6])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 7:
|
|
values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__n_iter);
|
|
if (likely(values[7])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 8:
|
|
values[8] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__fit_intercept);
|
|
if (likely(values[8])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 8); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 9:
|
|
values[9] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__verbose);
|
|
if (likely(values[9])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 9); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 10:
|
|
values[10] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shuffle);
|
|
if (likely(values[10])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 11:
|
|
values[11] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__seed);
|
|
if (likely(values[11])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 11); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 12:
|
|
values[12] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__weight_pos);
|
|
if (likely(values[12])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 12); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 13:
|
|
values[13] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__weight_neg);
|
|
if (likely(values[13])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 13); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 14:
|
|
values[14] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__learning_rate);
|
|
if (likely(values[14])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 14); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 15:
|
|
values[15] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__eta0);
|
|
if (likely(values[15])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 15); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 16:
|
|
values[16] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__power_t);
|
|
if (likely(values[16])) kw_args--;
|
|
else {
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, 16); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
case 17:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__t);
|
|
if (value) { values[17] = value; kw_args--; }
|
|
}
|
|
case 18:
|
|
if (kw_args > 0) {
|
|
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__intercept_decay);
|
|
if (value) { values[18] = value; kw_args--; }
|
|
}
|
|
}
|
|
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 = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
}
|
|
} else {
|
|
switch (PyTuple_GET_SIZE(__pyx_args)) {
|
|
case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
|
|
case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
|
|
case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
|
|
values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
|
|
values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
|
|
values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
|
|
values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
|
|
values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
|
|
values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
|
|
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
|
|
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
|
|
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
|
|
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
|
|
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
|
|
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
|
|
break;
|
|
default: goto __pyx_L5_argtuple_error;
|
|
}
|
|
}
|
|
__pyx_v_weights = ((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 = 268; __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 = 270; __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 = 271; __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 = 271; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_dataset = ((struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *)values[6]);
|
|
__pyx_v_n_iter = __Pyx_PyInt_AsInt(values[7]); if (unlikely((__pyx_v_n_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 273; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_fit_intercept = __Pyx_PyInt_AsInt(values[8]); if (unlikely((__pyx_v_fit_intercept == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 273; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_verbose = __Pyx_PyInt_AsInt(values[9]); if (unlikely((__pyx_v_verbose == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 274; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_shuffle = __Pyx_PyInt_AsInt(values[10]); if (unlikely((__pyx_v_shuffle == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 274; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_seed = __Pyx_PyInt_AsInt(values[11]); if (unlikely((__pyx_v_seed == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 274; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_weight_pos = __pyx_PyFloat_AsDouble(values[12]); if (unlikely((__pyx_v_weight_pos == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_weight_neg = __pyx_PyFloat_AsDouble(values[13]); if (unlikely((__pyx_v_weight_neg == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_learning_rate = __Pyx_PyInt_AsInt(values[14]); if (unlikely((__pyx_v_learning_rate == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_eta0 = __pyx_PyFloat_AsDouble(values[15]); if (unlikely((__pyx_v_eta0 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_v_power_t = __pyx_PyFloat_AsDouble(values[16]); if (unlikely((__pyx_v_power_t == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
if (values[17]) {
|
|
__pyx_v_t = __pyx_PyFloat_AsDouble(values[17]); if (unlikely((__pyx_v_t == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 278; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":278
|
|
* int learning_rate, double eta0,
|
|
* double power_t,
|
|
* double t=1.0, # <<<<<<<<<<<<<<
|
|
* double intercept_decay=1.0):
|
|
* """Plain SGD for generic loss functions and penalties.
|
|
*/
|
|
__pyx_v_t = ((double)1.0);
|
|
}
|
|
if (values[18]) {
|
|
__pyx_v_intercept_decay = __pyx_PyFloat_AsDouble(values[18]); if (unlikely((__pyx_v_intercept_decay == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 279; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
} else {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":279
|
|
* double power_t,
|
|
* double t=1.0,
|
|
* double intercept_decay=1.0): # <<<<<<<<<<<<<<
|
|
* """Plain SGD for generic loss functions and penalties.
|
|
*
|
|
*/
|
|
__pyx_v_intercept_decay = ((double)1.0);
|
|
}
|
|
}
|
|
goto __pyx_L4_argument_unpacking_done;
|
|
__pyx_L5_argtuple_error:;
|
|
__Pyx_RaiseArgtupleInvalid("plain_sgd", 0, 17, 19, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
|
|
__pyx_L3_error:;
|
|
__Pyx_AddTraceback("sklearn.linear_model.sgd_fast.plain_sgd", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
__Pyx_RefNannyFinishContext();
|
|
return NULL;
|
|
__pyx_L4_argument_unpacking_done:;
|
|
__pyx_bstruct_q.buf = NULL;
|
|
__pyx_bstruct_weights.buf = NULL;
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_weights), __pyx_ptype_5numpy_ndarray, 1, "weights", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_loss), __pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction, 1, "loss", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 269; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_dataset), __pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset, 1, "dataset", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 272; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
{
|
|
__Pyx_BufFmt_StackElem __pyx_stack[1];
|
|
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_bstruct_weights, (PyObject*)__pyx_v_weights, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_8sgd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
}
|
|
__pyx_bstride_0_weights = __pyx_bstruct_weights.strides[0];
|
|
__pyx_bshape_0_weights = __pyx_bstruct_weights.shape[0];
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":337
|
|
*
|
|
* # get the data information into easy vars
|
|
* cdef Py_ssize_t n_samples = dataset.n_samples # <<<<<<<<<<<<<<
|
|
* cdef Py_ssize_t n_features = weights.shape[0]
|
|
*
|
|
*/
|
|
__pyx_v_n_samples = __pyx_v_dataset->n_samples;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":338
|
|
* # get the data information into easy vars
|
|
* cdef Py_ssize_t n_samples = dataset.n_samples
|
|
* cdef Py_ssize_t n_features = weights.shape[0] # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef WeightVector w = WeightVector(weights)
|
|
*/
|
|
__pyx_v_n_features = (__pyx_v_weights->dimensions[0]);
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":340
|
|
* cdef Py_ssize_t n_features = weights.shape[0]
|
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/* "sklearn/linear_model/sgd_fast.pyx":342
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* cdef WeightVector w = WeightVector(weights)
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*
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|
* cdef DOUBLE *x_data_ptr = NULL # <<<<<<<<<<<<<<
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*
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":343
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*
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* cdef DOUBLE *x_data_ptr = NULL
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* cdef INTEGER *x_ind_ptr = NULL # <<<<<<<<<<<<<<
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*
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* # helper variable
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*/
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* cdef double eta = 0.0 # <<<<<<<<<<<<<<
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|
* cdef double p = 0.0
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":348
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* cdef int xnnz
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* cdef double eta = 0.0
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|
* cdef double p = 0.0 # <<<<<<<<<<<<<<
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|
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":349
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* cdef double eta = 0.0
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* cdef double p = 0.0
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* cdef double update = 0.0 # <<<<<<<<<<<<<<
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|
* cdef double sumloss = 0.0
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* cdef DOUBLE y = 0.0
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":350
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* cdef double p = 0.0
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* cdef double update = 0.0
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* cdef double sumloss = 0.0 # <<<<<<<<<<<<<<
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* cdef DOUBLE y = 0.0
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* cdef DOUBLE sample_weight
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*/
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__pyx_v_sumloss = 0.0;
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/* "sklearn/linear_model/sgd_fast.pyx":351
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* cdef double update = 0.0
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* cdef double sumloss = 0.0
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* cdef DOUBLE y = 0.0 # <<<<<<<<<<<<<<
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* cdef DOUBLE sample_weight
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* cdef double class_weight = 1.0
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":353
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* cdef DOUBLE y = 0.0
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* cdef DOUBLE sample_weight
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* cdef double class_weight = 1.0 # <<<<<<<<<<<<<<
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* cdef unsigned int count = 0
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* cdef unsigned int epoch = 0
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*/
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__pyx_v_class_weight = 1.0;
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/* "sklearn/linear_model/sgd_fast.pyx":354
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* cdef DOUBLE sample_weight
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* cdef double class_weight = 1.0
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* cdef unsigned int count = 0 # <<<<<<<<<<<<<<
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* cdef unsigned int epoch = 0
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* cdef unsigned int i = 0
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*/
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__pyx_v_count = 0;
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/* "sklearn/linear_model/sgd_fast.pyx":355
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* cdef double class_weight = 1.0
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* cdef unsigned int count = 0
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* cdef unsigned int epoch = 0 # <<<<<<<<<<<<<<
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*
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":356
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* cdef unsigned int count = 0
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* cdef unsigned int epoch = 0
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* cdef unsigned int i = 0 # <<<<<<<<<<<<<<
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*
|
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* # q vector is only used for L1 regularization
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*/
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__pyx_v_i = 0;
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/* "sklearn/linear_model/sgd_fast.pyx":359
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*
|
|
* # q vector is only used for L1 regularization
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|
* cdef np.ndarray[DOUBLE, ndim=1, mode="c"] q = None # <<<<<<<<<<<<<<
|
|
* cdef DOUBLE *q_data_ptr = NULL
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* # q vector is only used for L1 regularization
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* cdef np.ndarray[DOUBLE, ndim=1, mode="c"] q = None
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* cdef DOUBLE *q_data_ptr = NULL # <<<<<<<<<<<<<<
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* if penalty_type == L1 or penalty_type == ELASTICNET:
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* q = np.zeros((n_features,), dtype=np.float64, order="c")
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/* "sklearn/linear_model/sgd_fast.pyx":361
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* cdef np.ndarray[DOUBLE, ndim=1, mode="c"] q = None
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* cdef DOUBLE *q_data_ptr = NULL
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* if penalty_type == L1 or penalty_type == ELASTICNET: # <<<<<<<<<<<<<<
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* q = np.zeros((n_features,), dtype=np.float64, order="c")
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/* "sklearn/linear_model/sgd_fast.pyx":362
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* cdef DOUBLE *q_data_ptr = NULL
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* if penalty_type == L1 or penalty_type == ELASTICNET:
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* q = np.zeros((n_features,), dtype=np.float64, order="c") # <<<<<<<<<<<<<<
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/* "sklearn/linear_model/sgd_fast.pyx":363
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* if penalty_type == L1 or penalty_type == ELASTICNET:
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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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*
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/* "sklearn/linear_model/sgd_fast.pyx":364
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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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* if penalty_type == L2:
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*/
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__pyx_v_u = 0.0;
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/* "sklearn/linear_model/sgd_fast.pyx":368
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* if penalty_type == L2:
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* rho = 1.0
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* elif penalty_type == L1: # <<<<<<<<<<<<<<
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*
|
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*/
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switch (__pyx_v_penalty_type) {
|
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|
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/* "sklearn/linear_model/sgd_fast.pyx":366
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* cdef double u = 0.0
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*
|
|
* if penalty_type == L2: # <<<<<<<<<<<<<<
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* rho = 1.0
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* elif penalty_type == L1:
|
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*/
|
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case 2:
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":367
|
|
*
|
|
* if penalty_type == L2:
|
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* rho = 1.0 # <<<<<<<<<<<<<<
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* rho = 0.0
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":368
|
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* if penalty_type == L2:
|
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* rho = 1.0
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* elif penalty_type == L1: # <<<<<<<<<<<<<<
|
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* rho = 0.0
|
|
*
|
|
*/
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case 1:
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":369
|
|
* rho = 1.0
|
|
* elif penalty_type == L1:
|
|
* rho = 0.0 # <<<<<<<<<<<<<<
|
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*
|
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* eta = eta0
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*/
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__pyx_v_rho = 0.0;
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/* "sklearn/linear_model/sgd_fast.pyx":371
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|
* rho = 0.0
|
|
*
|
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* eta = eta0 # <<<<<<<<<<<<<<
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|
*
|
|
* t_start = time()
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*/
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__pyx_v_eta = __pyx_v_eta0;
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|
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/* "sklearn/linear_model/sgd_fast.pyx":373
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|
* eta = eta0
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*
|
|
* t_start = time() # <<<<<<<<<<<<<<
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* for epoch in range(n_iter):
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* if verbose > 0:
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":374
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*
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* t_start = time()
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* for epoch in range(n_iter): # <<<<<<<<<<<<<<
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*/
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for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_7; __pyx_t_11+=1) {
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/* "sklearn/linear_model/sgd_fast.pyx":375
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":376
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* for epoch in range(n_iter):
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|
|
__pyx_t_6 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_1), __pyx_t_4); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_6));
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
if (__Pyx_PrintOne(0, ((PyObject *)__pyx_t_6)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
|
|
goto __pyx_L8;
|
|
}
|
|
__pyx_L8:;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":377
|
|
* if verbose > 0:
|
|
* print("-- Epoch %d" % (epoch + 1))
|
|
* if shuffle: # <<<<<<<<<<<<<<
|
|
* dataset.shuffle(seed)
|
|
* for i in range(n_samples):
|
|
*/
|
|
if (__pyx_v_shuffle) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":378
|
|
* print("-- Epoch %d" % (epoch + 1))
|
|
* if shuffle:
|
|
* dataset.shuffle(seed) # <<<<<<<<<<<<<<
|
|
* for i in range(n_samples):
|
|
* dataset.next(&x_data_ptr, &x_ind_ptr, &xnnz, &y,
|
|
*/
|
|
__pyx_t_6 = PyInt_FromLong(__pyx_v_seed); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 378; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
((struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset *)__pyx_v_dataset->__pyx_vtab)->shuffle(__pyx_v_dataset, __pyx_t_6);
|
|
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
|
|
goto __pyx_L9;
|
|
}
|
|
__pyx_L9:;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":379
|
|
* if shuffle:
|
|
* dataset.shuffle(seed)
|
|
* for i in range(n_samples): # <<<<<<<<<<<<<<
|
|
* dataset.next(&x_data_ptr, &x_ind_ptr, &xnnz, &y,
|
|
* &sample_weight)
|
|
*/
|
|
__pyx_t_13 = __pyx_v_n_samples;
|
|
for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) {
|
|
__pyx_v_i = __pyx_t_14;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":381
|
|
* for i in range(n_samples):
|
|
* dataset.next(&x_data_ptr, &x_ind_ptr, &xnnz, &y,
|
|
* &sample_weight) # <<<<<<<<<<<<<<
|
|
*
|
|
* if learning_rate == OPTIMAL:
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset *)__pyx_v_dataset->__pyx_vtab)->next(__pyx_v_dataset, (&__pyx_v_x_data_ptr), (&__pyx_v_x_ind_ptr), (&__pyx_v_xnnz), (&__pyx_v_y), (&__pyx_v_sample_weight));
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":385
|
|
* if learning_rate == OPTIMAL:
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING: # <<<<<<<<<<<<<<
|
|
* eta = eta0 / pow(t, power_t)
|
|
* p = w.dot(x_data_ptr, x_ind_ptr, xnnz) + intercept
|
|
*/
|
|
switch (__pyx_v_learning_rate) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":383
|
|
* &sample_weight)
|
|
*
|
|
* if learning_rate == OPTIMAL: # <<<<<<<<<<<<<<
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING:
|
|
*/
|
|
case 2:
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":384
|
|
*
|
|
* 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;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":385
|
|
* if learning_rate == OPTIMAL:
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING: # <<<<<<<<<<<<<<
|
|
* eta = eta0 / pow(t, power_t)
|
|
* p = w.dot(x_data_ptr, x_ind_ptr, xnnz) + intercept
|
|
*/
|
|
case 3:
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":386
|
|
* eta = 1.0 / (alpha * t)
|
|
* elif learning_rate == INVSCALING:
|
|
* eta = eta0 / pow(t, power_t) # <<<<<<<<<<<<<<
|
|
* p = w.dot(x_data_ptr, x_ind_ptr, xnnz) + intercept
|
|
*
|
|
*/
|
|
__pyx_v_eta = (__pyx_v_eta0 / pow(__pyx_v_t, __pyx_v_power_t));
|
|
break;
|
|
}
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":387
|
|
* elif learning_rate == INVSCALING:
|
|
* eta = eta0 / pow(t, power_t)
|
|
* p = w.dot(x_data_ptr, x_ind_ptr, xnnz) + intercept # <<<<<<<<<<<<<<
|
|
*
|
|
* if verbose > 0:
|
|
*/
|
|
__pyx_v_p = (((struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *)__pyx_v_w->__pyx_vtab)->dot(__pyx_v_w, __pyx_v_x_data_ptr, __pyx_v_x_ind_ptr, __pyx_v_xnnz) + __pyx_v_intercept);
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":389
|
|
* p = w.dot(x_data_ptr, x_ind_ptr, xnnz) + intercept
|
|
*
|
|
* if verbose > 0: # <<<<<<<<<<<<<<
|
|
* sumloss += loss.loss(p, y)
|
|
*
|
|
*/
|
|
__pyx_t_12 = (__pyx_v_verbose > 0);
|
|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":390
|
|
*
|
|
* if verbose > 0:
|
|
* sumloss += loss.loss(p, y) # <<<<<<<<<<<<<<
|
|
*
|
|
* if y > 0.0:
|
|
*/
|
|
__pyx_v_sumloss = (__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));
|
|
goto __pyx_L12;
|
|
}
|
|
__pyx_L12:;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":392
|
|
* sumloss += loss.loss(p, y)
|
|
*
|
|
* if y > 0.0: # <<<<<<<<<<<<<<
|
|
* class_weight = weight_pos
|
|
* else:
|
|
*/
|
|
__pyx_t_12 = (__pyx_v_y > 0.0);
|
|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":393
|
|
*
|
|
* if y > 0.0:
|
|
* class_weight = weight_pos # <<<<<<<<<<<<<<
|
|
* else:
|
|
* class_weight = weight_neg
|
|
*/
|
|
__pyx_v_class_weight = __pyx_v_weight_pos;
|
|
goto __pyx_L13;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":395
|
|
* class_weight = weight_pos
|
|
* else:
|
|
* class_weight = weight_neg # <<<<<<<<<<<<<<
|
|
*
|
|
* update = eta * loss.dloss(p, y) * class_weight * sample_weight
|
|
*/
|
|
__pyx_v_class_weight = __pyx_v_weight_neg;
|
|
}
|
|
__pyx_L13:;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":397
|
|
* class_weight = weight_neg
|
|
*
|
|
* update = eta * loss.dloss(p, y) * class_weight * sample_weight # <<<<<<<<<<<<<<
|
|
* if update != 0.0:
|
|
* w.add(x_data_ptr, x_ind_ptr, xnnz, -update)
|
|
*/
|
|
__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);
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":398
|
|
*
|
|
* update = eta * loss.dloss(p, y) * class_weight * sample_weight
|
|
* if update != 0.0: # <<<<<<<<<<<<<<
|
|
* w.add(x_data_ptr, x_ind_ptr, xnnz, -update)
|
|
* if fit_intercept == 1:
|
|
*/
|
|
__pyx_t_12 = (__pyx_v_update != 0.0);
|
|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":399
|
|
* update = eta * loss.dloss(p, y) * class_weight * sample_weight
|
|
* if update != 0.0:
|
|
* w.add(x_data_ptr, x_ind_ptr, xnnz, -update) # <<<<<<<<<<<<<<
|
|
* if fit_intercept == 1:
|
|
* intercept -= update * intercept_decay
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *)__pyx_v_w->__pyx_vtab)->add(__pyx_v_w, __pyx_v_x_data_ptr, __pyx_v_x_ind_ptr, __pyx_v_xnnz, (-__pyx_v_update));
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":400
|
|
* if update != 0.0:
|
|
* w.add(x_data_ptr, x_ind_ptr, xnnz, -update)
|
|
* if fit_intercept == 1: # <<<<<<<<<<<<<<
|
|
* intercept -= update * intercept_decay
|
|
* if penalty_type >= L2:
|
|
*/
|
|
__pyx_t_12 = (__pyx_v_fit_intercept == 1);
|
|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":401
|
|
* w.add(x_data_ptr, x_ind_ptr, xnnz, -update)
|
|
* if fit_intercept == 1:
|
|
* intercept -= update * intercept_decay # <<<<<<<<<<<<<<
|
|
* if penalty_type >= L2:
|
|
* w.scale(1.0 - (rho * eta * alpha))
|
|
*/
|
|
__pyx_v_intercept = (__pyx_v_intercept - (__pyx_v_update * __pyx_v_intercept_decay));
|
|
goto __pyx_L15;
|
|
}
|
|
__pyx_L15:;
|
|
goto __pyx_L14;
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":402
|
|
* if fit_intercept == 1:
|
|
* intercept -= update * intercept_decay
|
|
* if penalty_type >= L2: # <<<<<<<<<<<<<<
|
|
* w.scale(1.0 - (rho * eta * alpha))
|
|
*
|
|
*/
|
|
__pyx_t_12 = (__pyx_v_penalty_type >= 2);
|
|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":403
|
|
* intercept -= update * intercept_decay
|
|
* if penalty_type >= L2:
|
|
* w.scale(1.0 - (rho * eta * alpha)) # <<<<<<<<<<<<<<
|
|
*
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET:
|
|
*/
|
|
((struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *)__pyx_v_w->__pyx_vtab)->scale(__pyx_v_w, (1.0 - ((__pyx_v_rho * __pyx_v_eta) * __pyx_v_alpha)));
|
|
goto __pyx_L16;
|
|
}
|
|
__pyx_L16:;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":405
|
|
* w.scale(1.0 - (rho * eta * alpha))
|
|
*
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET: # <<<<<<<<<<<<<<
|
|
* u += ((1.0 - rho) * eta * alpha)
|
|
* l1penalty(w, q_data_ptr, x_ind_ptr, xnnz, u)
|
|
*/
|
|
switch (__pyx_v_penalty_type) {
|
|
case 1:
|
|
case 3:
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":406
|
|
*
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET:
|
|
* u += ((1.0 - rho) * eta * alpha) # <<<<<<<<<<<<<<
|
|
* l1penalty(w, q_data_ptr, x_ind_ptr, xnnz, u)
|
|
* t += 1
|
|
*/
|
|
__pyx_v_u = (__pyx_v_u + (((1.0 - __pyx_v_rho) * __pyx_v_eta) * __pyx_v_alpha));
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":407
|
|
* if penalty_type == L1 or penalty_type == ELASTICNET:
|
|
* u += ((1.0 - rho) * eta * alpha)
|
|
* l1penalty(w, q_data_ptr, x_ind_ptr, xnnz, u) # <<<<<<<<<<<<<<
|
|
* t += 1
|
|
* count += 1
|
|
*/
|
|
__pyx_f_7sklearn_12linear_model_8sgd_fast_l1penalty(__pyx_v_w, __pyx_v_q_data_ptr, __pyx_v_x_ind_ptr, __pyx_v_xnnz, __pyx_v_u);
|
|
break;
|
|
}
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":408
|
|
* u += ((1.0 - rho) * eta * alpha)
|
|
* l1penalty(w, q_data_ptr, x_ind_ptr, xnnz, u)
|
|
* t += 1 # <<<<<<<<<<<<<<
|
|
* count += 1
|
|
*
|
|
*/
|
|
__pyx_v_t = (__pyx_v_t + 1.0);
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":409
|
|
* l1penalty(w, q_data_ptr, x_ind_ptr, xnnz, u)
|
|
* t += 1
|
|
* count += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # report epoch information
|
|
*/
|
|
__pyx_v_count = (__pyx_v_count + 1);
|
|
}
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":412
|
|
*
|
|
* # report epoch information
|
|
* if verbose > 0: # <<<<<<<<<<<<<<
|
|
* print("Norm: %.2f, NNZs: %d, "\
|
|
* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (w.norm(),
|
|
*/
|
|
__pyx_t_12 = (__pyx_v_verbose > 0);
|
|
if (__pyx_t_12) {
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":414
|
|
* if verbose > 0:
|
|
* print("Norm: %.2f, NNZs: %d, "\
|
|
* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (w.norm(), # <<<<<<<<<<<<<<
|
|
* weights.nonzero()[0].shape[0],
|
|
* intercept, count,
|
|
*/
|
|
__pyx_t_6 = PyFloat_FromDouble(((struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *)__pyx_v_w->__pyx_vtab)->norm(__pyx_v_w)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 414; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_6);
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":415
|
|
* print("Norm: %.2f, NNZs: %d, "\
|
|
* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (w.norm(),
|
|
* weights.nonzero()[0].shape[0], # <<<<<<<<<<<<<<
|
|
* intercept, count,
|
|
* sumloss / count))
|
|
*/
|
|
__pyx_t_4 = PyObject_GetAttr(((PyObject *)__pyx_v_weights), __pyx_n_s__nonzero); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 415; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__pyx_t_2 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 415; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__pyx_t_4 = __Pyx_GetItemInt(__pyx_t_2, 0, sizeof(long), PyInt_FromLong); if (!__pyx_t_4) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 415; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
__pyx_t_2 = PyObject_GetAttr(__pyx_t_4, __pyx_n_s__shape); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 415; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
__pyx_t_4 = __Pyx_GetItemInt(__pyx_t_2, 0, sizeof(long), PyInt_FromLong); if (!__pyx_t_4) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 415; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":416
|
|
* "Bias: %.6f, T: %d, Avg. loss: %.6f" % (w.norm(),
|
|
* weights.nonzero()[0].shape[0],
|
|
* intercept, count, # <<<<<<<<<<<<<<
|
|
* sumloss / count))
|
|
* print("Total training time: %.2f seconds." % (time() - t_start))
|
|
*/
|
|
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_intercept); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 416; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
__pyx_t_1 = PyLong_FromUnsignedLong(__pyx_v_count); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 416; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":417
|
|
* weights.nonzero()[0].shape[0],
|
|
* intercept, count,
|
|
* sumloss / count)) # <<<<<<<<<<<<<<
|
|
* print("Total training time: %.2f seconds." % (time() - t_start))
|
|
*
|
|
*/
|
|
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/* "sklearn/linear_model/sgd_fast.pyx":423
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* if np.any(np.isinf(weights)) or np.any(np.isnan(weights)) \
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__Pyx_GOTREF(__pyx_t_1);
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{__pyx_filename = __pyx_f[0]; __pyx_lineno = 423; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L18;
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__pyx_L18:;
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/* "sklearn/linear_model/sgd_fast.pyx":425
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* raise ValueError("floating-point under-/overflow occured.")
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*
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*
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((struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *)__pyx_v_w->__pyx_vtab)->reset_wscale(__pyx_v_w);
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/* "sklearn/linear_model/sgd_fast.pyx":427
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* w.reset_wscale()
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*
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*
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__Pyx_XDECREF(__pyx_r);
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/* "numpy.pxd":207
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/* "numpy.pxd":210
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}
|
|
if (__pyx_t_3) {
|
|
|
|
/* "numpy.pxd":211
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<<
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
*/
|
|
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_7), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L7;
|
|
}
|
|
__pyx_L7:;
|
|
|
|
/* "numpy.pxd":213
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*/
|
|
__pyx_t_3 = ((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS);
|
|
if (__pyx_t_3) {
|
|
|
|
/* "numpy.pxd":214
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*
|
|
*/
|
|
__pyx_t_1 = (!PyArray_CHKFLAGS(((PyArrayObject *)__pyx_v_self), NPY_F_CONTIGUOUS));
|
|
__pyx_t_2 = __pyx_t_1;
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_3;
|
|
}
|
|
if (__pyx_t_2) {
|
|
|
|
/* "numpy.pxd":215
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<<
|
|
*
|
|
* info.buf = PyArray_DATA(self)
|
|
*/
|
|
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_9), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L8;
|
|
}
|
|
__pyx_L8:;
|
|
|
|
/* "numpy.pxd":217
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*
|
|
* info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<<
|
|
* info.ndim = ndim
|
|
* if copy_shape:
|
|
*/
|
|
__pyx_v_info->buf = PyArray_DATA(((PyArrayObject *)__pyx_v_self));
|
|
|
|
/* "numpy.pxd":218
|
|
*
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim # <<<<<<<<<<<<<<
|
|
* if copy_shape:
|
|
* # Allocate new buffer for strides and shape info.
|
|
*/
|
|
__pyx_v_info->ndim = __pyx_v_ndim;
|
|
|
|
/* "numpy.pxd":219
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim
|
|
* if copy_shape: # <<<<<<<<<<<<<<
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
*/
|
|
if (__pyx_v_copy_shape) {
|
|
|
|
/* "numpy.pxd":222
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2) # <<<<<<<<<<<<<<
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
*/
|
|
__pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2)));
|
|
|
|
/* "numpy.pxd":223
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
|
|
* info.shape = info.strides + ndim # <<<<<<<<<<<<<<
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
*/
|
|
__pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim);
|
|
|
|
/* "numpy.pxd":224
|
|
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim): # <<<<<<<<<<<<<<
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
*/
|
|
__pyx_t_5 = __pyx_v_ndim;
|
|
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
|
|
__pyx_v_i = __pyx_t_6;
|
|
|
|
/* "numpy.pxd":225
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<<
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
*/
|
|
(__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(((PyArrayObject *)__pyx_v_self))[__pyx_v_i]);
|
|
|
|
/* "numpy.pxd":226
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
* info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<<
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
*/
|
|
(__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(((PyArrayObject *)__pyx_v_self))[__pyx_v_i]);
|
|
}
|
|
goto __pyx_L9;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":228
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self) # <<<<<<<<<<<<<<
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
*/
|
|
__pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(((PyArrayObject *)__pyx_v_self)));
|
|
|
|
/* "numpy.pxd":229
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self) # <<<<<<<<<<<<<<
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
*/
|
|
__pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(((PyArrayObject *)__pyx_v_self)));
|
|
}
|
|
__pyx_L9:;
|
|
|
|
/* "numpy.pxd":230
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL # <<<<<<<<<<<<<<
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*/
|
|
__pyx_v_info->suboffsets = NULL;
|
|
|
|
/* "numpy.pxd":231
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<<
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*
|
|
*/
|
|
__pyx_v_info->itemsize = PyArray_ITEMSIZE(((PyArrayObject *)__pyx_v_self));
|
|
|
|
/* "numpy.pxd":232
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef int t
|
|
*/
|
|
__pyx_v_info->readonly = (!PyArray_ISWRITEABLE(((PyArrayObject *)__pyx_v_self)));
|
|
|
|
/* "numpy.pxd":235
|
|
*
|
|
* cdef int t
|
|
* cdef char* f = NULL # <<<<<<<<<<<<<<
|
|
* cdef dtype descr = self.descr
|
|
* cdef list stack
|
|
*/
|
|
__pyx_v_f = NULL;
|
|
|
|
/* "numpy.pxd":236
|
|
* cdef int t
|
|
* cdef char* f = NULL
|
|
* cdef dtype descr = self.descr # <<<<<<<<<<<<<<
|
|
* cdef list stack
|
|
* cdef int offset
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_v_self)->descr));
|
|
__pyx_v_descr = ((PyArrayObject *)__pyx_v_self)->descr;
|
|
|
|
/* "numpy.pxd":240
|
|
* cdef int offset
|
|
*
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields and not copy_shape:
|
|
*/
|
|
__pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr);
|
|
|
|
/* "numpy.pxd":242
|
|
* cdef bint hasfields = PyDataType_HASFIELDS(descr)
|
|
*
|
|
* if not hasfields and not copy_shape: # <<<<<<<<<<<<<<
|
|
* # do not call releasebuffer
|
|
* info.obj = None
|
|
*/
|
|
__pyx_t_2 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_2) {
|
|
__pyx_t_3 = (!__pyx_v_copy_shape);
|
|
__pyx_t_1 = __pyx_t_3;
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
}
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":244
|
|
* if not hasfields and not copy_shape:
|
|
* # do not call releasebuffer
|
|
* info.obj = None # <<<<<<<<<<<<<<
|
|
* else:
|
|
* # need to call releasebuffer
|
|
*/
|
|
__Pyx_INCREF(Py_None);
|
|
__Pyx_GIVEREF(Py_None);
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = Py_None;
|
|
goto __pyx_L12;
|
|
}
|
|
/*else*/ {
|
|
|
|
/* "numpy.pxd":247
|
|
* else:
|
|
* # need to call releasebuffer
|
|
* info.obj = self # <<<<<<<<<<<<<<
|
|
*
|
|
* if not hasfields:
|
|
*/
|
|
__Pyx_INCREF(__pyx_v_self);
|
|
__Pyx_GIVEREF(__pyx_v_self);
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = __pyx_v_self;
|
|
}
|
|
__pyx_L12:;
|
|
|
|
/* "numpy.pxd":249
|
|
* info.obj = self
|
|
*
|
|
* if not hasfields: # <<<<<<<<<<<<<<
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
*/
|
|
__pyx_t_1 = (!__pyx_v_hasfields);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":250
|
|
*
|
|
* if not hasfields:
|
|
* t = descr.type_num # <<<<<<<<<<<<<<
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
*/
|
|
__pyx_v_t = __pyx_v_descr->type_num;
|
|
|
|
/* "numpy.pxd":251
|
|
* if not hasfields:
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_descr->byteorder == '>');
|
|
if (__pyx_t_1) {
|
|
__pyx_t_2 = __pyx_v_little_endian;
|
|
} else {
|
|
__pyx_t_2 = __pyx_t_1;
|
|
}
|
|
if (!__pyx_t_2) {
|
|
|
|
/* "numpy.pxd":252
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_descr->byteorder == '<');
|
|
if (__pyx_t_1) {
|
|
__pyx_t_3 = (!__pyx_v_little_endian);
|
|
__pyx_t_7 = __pyx_t_3;
|
|
} else {
|
|
__pyx_t_7 = __pyx_t_1;
|
|
}
|
|
__pyx_t_1 = __pyx_t_7;
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
}
|
|
if (__pyx_t_1) {
|
|
|
|
/* "numpy.pxd":253
|
|
* if ((descr.byteorder == '>' and little_endian) or
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
*/
|
|
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_11), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_4);
|
|
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
|
|
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
goto __pyx_L14;
|
|
}
|
|
__pyx_L14:;
|
|
|
|
/* "numpy.pxd":254
|
|
* (descr.byteorder == '<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_BYTE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__b;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":255
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_UBYTE);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__B;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":256
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_SHORT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__h;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":257
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_USHORT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__H;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":258
|
|
* elif t == NPY_SHORT: f = "h"
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_INT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__i;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":259
|
|
* elif t == NPY_USHORT: f = "H"
|
|
* elif t == NPY_INT: f = "i"
|
|
* elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONG: f = "l"
|
|
* elif t == NPY_ULONG: f = "L"
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_t == NPY_UINT);
|
|
if (__pyx_t_1) {
|
|
__pyx_v_f = __pyx_k__I;
|
|
goto __pyx_L15;
|
|
}
|
|
|
|
/* "numpy.pxd":260
|
|
* elif t == NPY_INT: f = "i"
|
|
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|
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|
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*/
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if (__pyx_t_1) {
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goto __pyx_L15;
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/* "numpy.pxd":261
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|
* elif t == NPY_UINT: f = "I"
|
|
* elif t == NPY_LONG: f = "l"
|
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* elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<<
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*/
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if (__pyx_t_1) {
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__pyx_v_f = __pyx_k__L;
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goto __pyx_L15;
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|
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/* "numpy.pxd":262
|
|
* elif t == NPY_LONG: f = "l"
|
|
* elif t == NPY_ULONG: f = "L"
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|
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/* "numpy.pxd":263
|
|
* elif t == NPY_ULONG: f = "L"
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/* "numpy.pxd":264
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/* "numpy.pxd":265
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/* "numpy.pxd":266
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/* "numpy.pxd":267
|
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/* "numpy.pxd":268
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/* "numpy.pxd":269
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/* "numpy.pxd":799
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|
* if ((child.byteorder == '>' and little_endian) or
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|
* (child.byteorder == '<' and not little_endian)):
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* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
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* # One could encode it in the format string and have Cython
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* # complain instead, BUT: < and > in format strings also imply
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*/
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__pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_15), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_Raise(__pyx_t_5, 0, 0, 0);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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|
goto __pyx_L6;
|
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}
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__pyx_L6:;
|
|
|
|
/* "numpy.pxd":809
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|
*
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|
* # Output padding bytes
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* while offset[0] < new_offset: # <<<<<<<<<<<<<<
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* f[0] = 120 # "x"; pad byte
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* f += 1
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*/
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while (1) {
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__pyx_t_5 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 809; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_t_5, __pyx_v_new_offset, Py_LT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 809; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 809; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
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if (!__pyx_t_6) break;
|
|
|
|
/* "numpy.pxd":810
|
|
* # Output padding bytes
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* while offset[0] < new_offset:
|
|
* f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<<
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|
* f += 1
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* offset[0] += 1
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*/
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|
(__pyx_v_f[0]) = 120;
|
|
|
|
/* "numpy.pxd":811
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|
* while offset[0] < new_offset:
|
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* f[0] = 120 # "x"; pad byte
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* f += 1 # <<<<<<<<<<<<<<
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|
* offset[0] += 1
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*
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|
*/
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__pyx_v_f = (__pyx_v_f + 1);
|
|
|
|
/* "numpy.pxd":812
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|
* f[0] = 120 # "x"; pad byte
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* f += 1
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|
* offset[0] += 1 # <<<<<<<<<<<<<<
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|
*
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|
* offset[0] += child.itemsize
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*/
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__pyx_t_10 = 0;
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(__pyx_v_offset[__pyx_t_10]) = ((__pyx_v_offset[__pyx_t_10]) + 1);
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}
|
|
|
|
/* "numpy.pxd":814
|
|
* offset[0] += 1
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|
*
|
|
* offset[0] += child.itemsize # <<<<<<<<<<<<<<
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|
*
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* if not PyDataType_HASFIELDS(child):
|
|
*/
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__pyx_t_10 = 0;
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(__pyx_v_offset[__pyx_t_10]) = ((__pyx_v_offset[__pyx_t_10]) + __pyx_v_child->elsize);
|
|
|
|
/* "numpy.pxd":816
|
|
* offset[0] += child.itemsize
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*
|
|
* if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<<
|
|
* t = child.type_num
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* if end - f < 5:
|
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*/
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__pyx_t_6 = (!PyDataType_HASFIELDS(__pyx_v_child));
|
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if (__pyx_t_6) {
|
|
|
|
/* "numpy.pxd":817
|
|
*
|
|
* if not PyDataType_HASFIELDS(child):
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|
* t = child.type_num # <<<<<<<<<<<<<<
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* if end - f < 5:
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* raise RuntimeError(u"Format string allocated too short.")
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*/
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__pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 817; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_XDECREF(__pyx_v_t);
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__pyx_v_t = __pyx_t_3;
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__pyx_t_3 = 0;
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|
|
|
/* "numpy.pxd":818
|
|
* if not PyDataType_HASFIELDS(child):
|
|
* t = child.type_num
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* if end - f < 5: # <<<<<<<<<<<<<<
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|
* raise RuntimeError(u"Format string allocated too short.")
|
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*
|
|
*/
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__pyx_t_6 = ((__pyx_v_end - __pyx_v_f) < 5);
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if (__pyx_t_6) {
|
|
|
|
/* "numpy.pxd":819
|
|
* t = child.type_num
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* if end - f < 5:
|
|
* raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<<
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*
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* # Until ticket #99 is fixed, use integers to avoid warnings
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*/
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__pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_17), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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{__pyx_filename = __pyx_f[1]; __pyx_lineno = 819; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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goto __pyx_L10;
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}
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__pyx_L10:;
|
|
|
|
/* "numpy.pxd":822
|
|
*
|
|
* # Until ticket #99 is fixed, use integers to avoid warnings
|
|
* if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<<
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|
* elif t == NPY_UBYTE: f[0] = 66 #"B"
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* elif t == NPY_SHORT: f[0] = 104 #"h"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_BYTE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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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_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 822; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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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]) = 98;
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goto __pyx_L11;
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}
|
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|
|
/* "numpy.pxd":823
|
|
* # Until ticket #99 is fixed, use integers to avoid warnings
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|
* if t == NPY_BYTE: f[0] = 98 #"b"
|
|
* elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<<
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|
* elif t == NPY_SHORT: f[0] = 104 #"h"
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* elif t == NPY_USHORT: f[0] = 72 #"H"
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 66;
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goto __pyx_L11;
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}
|
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|
|
/* "numpy.pxd":824
|
|
* if t == NPY_BYTE: f[0] = 98 #"b"
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|
* elif t == NPY_UBYTE: f[0] = 66 #"B"
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 824; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 104;
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goto __pyx_L11;
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}
|
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|
|
/* "numpy.pxd":825
|
|
* elif t == NPY_UBYTE: f[0] = 66 #"B"
|
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* elif t == NPY_SHORT: f[0] = 104 #"h"
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<<
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* elif t == NPY_INT: f[0] = 105 #"i"
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* elif t == NPY_UINT: f[0] = 73 #"I"
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_USHORT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 825; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 72;
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goto __pyx_L11;
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|
}
|
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|
|
/* "numpy.pxd":826
|
|
* elif t == NPY_SHORT: f[0] = 104 #"h"
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
* elif t == NPY_LONG: f[0] = 108 #"l"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_INT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 105;
|
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goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":827
|
|
* elif t == NPY_USHORT: f[0] = 72 #"H"
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
|
|
* elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_LONG: f[0] = 108 #"l"
|
|
* elif t == NPY_ULONG: f[0] = 76 #"L"
|
|
*/
|
|
__pyx_t_5 = PyInt_FromLong(NPY_UINT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 73;
|
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goto __pyx_L11;
|
|
}
|
|
|
|
/* "numpy.pxd":828
|
|
* elif t == NPY_INT: f[0] = 105 #"i"
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
* elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<<
|
|
* elif t == NPY_ULONG: f[0] = 76 #"L"
|
|
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
|
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*/
|
|
__pyx_t_3 = PyInt_FromLong(NPY_LONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
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__Pyx_GOTREF(__pyx_t_5);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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if (__pyx_t_6) {
|
|
(__pyx_v_f[0]) = 108;
|
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goto __pyx_L11;
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|
}
|
|
|
|
/* "numpy.pxd":829
|
|
* elif t == NPY_UINT: f[0] = 73 #"I"
|
|
* elif t == NPY_LONG: f[0] = 108 #"l"
|
|
* elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<<
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|
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
|
|
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
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*/
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__pyx_t_5 = PyInt_FromLong(NPY_ULONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (__pyx_t_6) {
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(__pyx_v_f[0]) = 76;
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goto __pyx_L11;
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}
|
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|
|
/* "numpy.pxd":830
|
|
* elif t == NPY_LONG: f[0] = 108 #"l"
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* elif t == NPY_ULONG: f[0] = 76 #"L"
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* elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<<
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* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
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* elif t == NPY_FLOAT: f[0] = 102 #"f"
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*/
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__pyx_t_3 = PyInt_FromLong(NPY_LONGLONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__Pyx_GOTREF(__pyx_t_5);
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|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Regression", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression = &__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classification.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunction;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classification.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_14Classification_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classification.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_14Classification_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Classification", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification = &__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ModifiedHuber = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_ModifiedHuber;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_ModifiedHuber.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_ModifiedHuber.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_ModifiedHuber.__pyx_base.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 105; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ModifiedHuber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 105; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "ModifiedHuber", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 105; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHuber = &__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Hinge;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Hinge.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Hinge.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Hinge.__pyx_base.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 135; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 135; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Hinge", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 135; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge = &__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Log = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Log;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Log.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Log.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_3Log_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Log.__pyx_base.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_3Log_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_Log.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_Log) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_Log.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Log) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Log", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Log) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Log = &__pyx_type_7sklearn_12linear_model_8sgd_fast_Log;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredLoss = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredLoss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredLoss.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredLoss.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredLoss.__pyx_base.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredLoss) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "SquaredLoss", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 192; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredLoss = &__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Huber = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Huber;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Huber.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Huber.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Huber.__pyx_base.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Huber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "Huber", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Huber = &__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber;
|
|
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_loss;
|
|
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive.__pyx_base.__pyx_base.dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double, int __pyx_skip_dispatch))__pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_dloss;
|
|
__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression;
|
|
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 240; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 240; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
if (__Pyx_SetAttrString(__pyx_m, "EpsilonInsensitive", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 240; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive = &__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive;
|
|
/*--- Type import code ---*/
|
|
__pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 857; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_5utils_13weight_vector_WeightVector = __Pyx_ImportType("sklearn.utils.weight_vector", "WeightVector", sizeof(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector), 1); if (unlikely(!__pyx_ptype_7sklearn_5utils_13weight_vector_WeightVector)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 14; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_5utils_13weight_vector_WeightVector = (struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector*)__Pyx_GetVtable(__pyx_ptype_7sklearn_5utils_13weight_vector_WeightVector->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_5utils_13weight_vector_WeightVector)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 14; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset = __Pyx_ImportType("sklearn.utils.seq_dataset", "SequentialDataset", sizeof(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset), 1); if (unlikely(!__pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_5utils_11seq_dataset_SequentialDataset = (struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset*)__Pyx_GetVtable(__pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_5utils_11seq_dataset_SequentialDataset)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_5utils_11seq_dataset_ArrayDataset = __Pyx_ImportType("sklearn.utils.seq_dataset", "ArrayDataset", sizeof(struct __pyx_obj_7sklearn_5utils_11seq_dataset_ArrayDataset), 1); if (unlikely(!__pyx_ptype_7sklearn_5utils_11seq_dataset_ArrayDataset)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 17; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_5utils_11seq_dataset_ArrayDataset = (struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_ArrayDataset*)__Pyx_GetVtable(__pyx_ptype_7sklearn_5utils_11seq_dataset_ArrayDataset->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_5utils_11seq_dataset_ArrayDataset)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 17; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_ptype_7sklearn_5utils_11seq_dataset_CSRDataset = __Pyx_ImportType("sklearn.utils.seq_dataset", "CSRDataset", sizeof(struct __pyx_obj_7sklearn_5utils_11seq_dataset_CSRDataset), 1); if (unlikely(!__pyx_ptype_7sklearn_5utils_11seq_dataset_CSRDataset)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__pyx_vtabptr_7sklearn_5utils_11seq_dataset_CSRDataset = (struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_CSRDataset*)__Pyx_GetVtable(__pyx_ptype_7sklearn_5utils_11seq_dataset_CSRDataset->tp_dict); if (unlikely(!__pyx_vtabptr_7sklearn_5utils_11seq_dataset_CSRDataset)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
/*--- Variable import code ---*/
|
|
/*--- Function import code ---*/
|
|
/*--- Execution code ---*/
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":11
|
|
*
|
|
*
|
|
* import numpy as np # <<<<<<<<<<<<<<
|
|
* import sys
|
|
* from time import time
|
|
*/
|
|
__pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0, -1); 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);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__np, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 11; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":12
|
|
*
|
|
* import numpy as np
|
|
* import sys # <<<<<<<<<<<<<<
|
|
* from time import time
|
|
*
|
|
*/
|
|
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|
|
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|
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if (PyObject_SetAttr(__pyx_m, __pyx_n_s__sys, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 12; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
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|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":13
|
|
* import numpy as np
|
|
* import sys
|
|
* from time import time # <<<<<<<<<<<<<<
|
|
*
|
|
* cimport numpy as np
|
|
*/
|
|
__pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 13; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_1));
|
|
__Pyx_INCREF(((PyObject *)__pyx_n_s__time));
|
|
PyList_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_n_s__time));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__time));
|
|
__pyx_t_2 = __Pyx_Import(((PyObject *)__pyx_n_s__time), ((PyObject *)__pyx_t_1), -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 13; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
|
|
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|
|
__Pyx_GOTREF(__pyx_t_1);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__time, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 13; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":267
|
|
*
|
|
*
|
|
* def plain_sgd(np.ndarray[DOUBLE, ndim=1, mode='c'] weights, # <<<<<<<<<<<<<<
|
|
* double intercept,
|
|
* LossFunction loss,
|
|
*/
|
|
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_12linear_model_8sgd_fast_plain_sgd, NULL, __pyx_n_s_18); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(__pyx_t_2);
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__plain_sgd, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 267; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
|
|
|
|
/* "sklearn/linear_model/sgd_fast.pyx":1
|
|
* # encoding: utf-8 # <<<<<<<<<<<<<<
|
|
* # cython: cdivision=True
|
|
* # cython: boundscheck=False
|
|
*/
|
|
__pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_GOTREF(((PyObject *)__pyx_t_2));
|
|
if (PyObject_SetAttr(__pyx_m, __pyx_n_s____test__, ((PyObject *)__pyx_t_2)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
|
|
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
|
|
|
|
/* "numpy.pxd":971
|
|
* arr.base = baseptr
|
|
*
|
|
* cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<<
|
|
* if arr.base is NULL:
|
|
* return None
|
|
*/
|
|
goto __pyx_L0;
|
|
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|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_2);
|
|
if (__pyx_m) {
|
|
__Pyx_AddTraceback("init sklearn.linear_model.sgd_fast", __pyx_clineno, __pyx_lineno, __pyx_filename);
|
|
Py_DECREF(__pyx_m); __pyx_m = 0;
|
|
} else if (!PyErr_Occurred()) {
|
|
PyErr_SetString(PyExc_ImportError, "init sklearn.linear_model.sgd_fast");
|
|
}
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
#if PY_MAJOR_VERSION < 3
|
|
return;
|
|
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|
|
return __pyx_m;
|
|
#endif
|
|
}
|
|
|
|
/* Runtime support code */
|
|
|
|
#if CYTHON_REFNANNY
|
|
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
|
|
PyObject *m = NULL, *p = NULL;
|
|
void *r = NULL;
|
|
m = PyImport_ImportModule((char *)modname);
|
|
if (!m) goto end;
|
|
p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
|
|
if (!p) goto end;
|
|
r = PyLong_AsVoidPtr(p);
|
|
end:
|
|
Py_XDECREF(p);
|
|
Py_XDECREF(m);
|
|
return (__Pyx_RefNannyAPIStruct *)r;
|
|
}
|
|
#endif /* CYTHON_REFNANNY */
|
|
|
|
static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name) {
|
|
PyObject *result;
|
|
result = PyObject_GetAttr(dict, name);
|
|
if (!result) {
|
|
if (dict != __pyx_b) {
|
|
PyErr_Clear();
|
|
result = PyObject_GetAttr(__pyx_b, name);
|
|
}
|
|
if (!result) {
|
|
PyErr_SetObject(PyExc_NameError, name);
|
|
}
|
|
}
|
|
return result;
|
|
}
|
|
|
|
static CYTHON_INLINE 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;
|
|
}
|
|
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
|
|
/* cause is unused */
|
|
Py_XINCREF(type);
|
|
Py_XINCREF(value);
|
|
Py_XINCREF(tb);
|
|
/* First, check the traceback argument, replacing None with NULL. */
|
|
if (tb == Py_None) {
|
|
Py_DECREF(tb);
|
|
tb = 0;
|
|
}
|
|
else if (tb != NULL && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto raise_error;
|
|
}
|
|
/* Next, replace a missing value with None */
|
|
if (value == NULL) {
|
|
value = Py_None;
|
|
Py_INCREF(value);
|
|
}
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (!PyClass_Check(type))
|
|
#else
|
|
if (!PyType_Check(type))
|
|
#endif
|
|
{
|
|
/* Raising an instance. The value should be a dummy. */
|
|
if (value != Py_None) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto raise_error;
|
|
}
|
|
/* Normalize to raise <class>, <instance> */
|
|
Py_DECREF(value);
|
|
value = type;
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (PyInstance_Check(type)) {
|
|
type = (PyObject*) ((PyInstanceObject*)type)->in_class;
|
|
Py_INCREF(type);
|
|
}
|
|
else {
|
|
type = 0;
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception must be an old-style class or instance");
|
|
goto raise_error;
|
|
}
|
|
#else
|
|
type = (PyObject*) Py_TYPE(type);
|
|
Py_INCREF(type);
|
|
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto raise_error;
|
|
}
|
|
#endif
|
|
}
|
|
|
|
__Pyx_ErrRestore(type, value, tb);
|
|
return;
|
|
raise_error:
|
|
Py_XDECREF(value);
|
|
Py_XDECREF(type);
|
|
Py_XDECREF(tb);
|
|
return;
|
|
}
|
|
|
|
#else /* Python 3+ */
|
|
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
|
|
if (tb == Py_None) {
|
|
tb = 0;
|
|
} else if (tb && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto bad;
|
|
}
|
|
if (value == Py_None)
|
|
value = 0;
|
|
|
|
if (PyExceptionInstance_Check(type)) {
|
|
if (value) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto bad;
|
|
}
|
|
value = type;
|
|
type = (PyObject*) Py_TYPE(value);
|
|
} else if (!PyExceptionClass_Check(type)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto bad;
|
|
}
|
|
|
|
if (cause) {
|
|
PyObject *fixed_cause;
|
|
if (PyExceptionClass_Check(cause)) {
|
|
fixed_cause = PyObject_CallObject(cause, NULL);
|
|
if (fixed_cause == NULL)
|
|
goto bad;
|
|
}
|
|
else if (PyExceptionInstance_Check(cause)) {
|
|
fixed_cause = cause;
|
|
Py_INCREF(fixed_cause);
|
|
}
|
|
else {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"exception causes must derive from "
|
|
"BaseException");
|
|
goto bad;
|
|
}
|
|
if (!value) {
|
|
value = PyObject_CallObject(type, NULL);
|
|
}
|
|
PyException_SetCause(value, fixed_cause);
|
|
}
|
|
|
|
PyErr_SetObject(type, value);
|
|
|
|
if (tb) {
|
|
PyThreadState *tstate = PyThreadState_GET();
|
|
PyObject* tmp_tb = tstate->curexc_traceback;
|
|
if (tb != tmp_tb) {
|
|
Py_INCREF(tb);
|
|
tstate->curexc_traceback = tb;
|
|
Py_XDECREF(tmp_tb);
|
|
}
|
|
}
|
|
|
|
bad:
|
|
return;
|
|
}
|
|
#endif
|
|
|
|
static void __Pyx_RaiseArgtupleInvalid(
|
|
const char* func_name,
|
|
int exact,
|
|
Py_ssize_t num_min,
|
|
Py_ssize_t num_max,
|
|
Py_ssize_t num_found)
|
|
{
|
|
Py_ssize_t num_expected;
|
|
const char *more_or_less;
|
|
|
|
if (num_found < num_min) {
|
|
num_expected = num_min;
|
|
more_or_less = "at least";
|
|
} else {
|
|
num_expected = num_max;
|
|
more_or_less = "at most";
|
|
}
|
|
if (exact) {
|
|
more_or_less = "exactly";
|
|
}
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s() takes %s %"PY_FORMAT_SIZE_T"d positional argument%s (%"PY_FORMAT_SIZE_T"d given)",
|
|
func_name, more_or_less, num_expected,
|
|
(num_expected == 1) ? "" : "s", num_found);
|
|
}
|
|
|
|
static void __Pyx_RaiseDoubleKeywordsError(
|
|
const char* func_name,
|
|
PyObject* kw_name)
|
|
{
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION >= 3
|
|
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
|
|
#else
|
|
"%s() got multiple values for keyword argument '%s'", func_name,
|
|
PyString_AS_STRING(kw_name));
|
|
#endif
|
|
}
|
|
|
|
static int __Pyx_ParseOptionalKeywords(
|
|
PyObject *kwds,
|
|
PyObject **argnames[],
|
|
PyObject *kwds2,
|
|
PyObject *values[],
|
|
Py_ssize_t num_pos_args,
|
|
const char* function_name)
|
|
{
|
|
PyObject *key = 0, *value = 0;
|
|
Py_ssize_t pos = 0;
|
|
PyObject*** name;
|
|
PyObject*** first_kw_arg = argnames + num_pos_args;
|
|
|
|
while (PyDict_Next(kwds, &pos, &key, &value)) {
|
|
name = first_kw_arg;
|
|
while (*name && (**name != key)) name++;
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
} else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (unlikely(!PyString_CheckExact(key)) && unlikely(!PyString_Check(key))) {
|
|
#else
|
|
if (unlikely(!PyUnicode_CheckExact(key)) && unlikely(!PyUnicode_Check(key))) {
|
|
#endif
|
|
goto invalid_keyword_type;
|
|
} else {
|
|
for (name = first_kw_arg; *name; name++) {
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyUnicode_GET_SIZE(**name) == PyUnicode_GET_SIZE(key) &&
|
|
PyUnicode_Compare(**name, key) == 0) break;
|
|
#else
|
|
if (PyString_GET_SIZE(**name) == PyString_GET_SIZE(key) &&
|
|
_PyString_Eq(**name, key)) break;
|
|
#endif
|
|
}
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
} else {
|
|
/* unexpected keyword found */
|
|
for (name=argnames; name != first_kw_arg; name++) {
|
|
if (**name == key) goto arg_passed_twice;
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyUnicode_GET_SIZE(**name) == PyUnicode_GET_SIZE(key) &&
|
|
PyUnicode_Compare(**name, key) == 0) goto arg_passed_twice;
|
|
#else
|
|
if (PyString_GET_SIZE(**name) == PyString_GET_SIZE(key) &&
|
|
_PyString_Eq(**name, key)) goto arg_passed_twice;
|
|
#endif
|
|
}
|
|
if (kwds2) {
|
|
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
|
|
} else {
|
|
goto invalid_keyword;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
return 0;
|
|
arg_passed_twice:
|
|
__Pyx_RaiseDoubleKeywordsError(function_name, **name);
|
|
goto bad;
|
|
invalid_keyword_type:
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s() keywords must be strings", function_name);
|
|
goto bad;
|
|
invalid_keyword:
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION < 3
|
|
"%s() got an unexpected keyword argument '%s'",
|
|
function_name, PyString_AsString(key));
|
|
#else
|
|
"%s() got an unexpected keyword argument '%U'",
|
|
function_name, key);
|
|
#endif
|
|
bad:
|
|
return -1;
|
|
}
|
|
|
|
static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
|
|
const char *name, int exact)
|
|
{
|
|
if (!type) {
|
|
PyErr_Format(PyExc_SystemError, "Missing type object");
|
|
return 0;
|
|
}
|
|
if (none_allowed && obj == Py_None) return 1;
|
|
else if (exact) {
|
|
if (Py_TYPE(obj) == type) return 1;
|
|
}
|
|
else {
|
|
if (PyObject_TypeCheck(obj, type)) return 1;
|
|
}
|
|
PyErr_Format(PyExc_TypeError,
|
|
"Argument '%s' has incorrect type (expected %s, got %s)",
|
|
name, type->tp_name, Py_TYPE(obj)->tp_name);
|
|
return 0;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
|
|
unsigned int n = 1;
|
|
return *(unsigned char*)(&n) != 0;
|
|
}
|
|
|
|
typedef struct {
|
|
__Pyx_StructField root;
|
|
__Pyx_BufFmt_StackElem* head;
|
|
size_t fmt_offset;
|
|
size_t new_count, enc_count;
|
|
int is_complex;
|
|
char enc_type;
|
|
char new_packmode;
|
|
char enc_packmode;
|
|
} __Pyx_BufFmt_Context;
|
|
|
|
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
|
|
__Pyx_BufFmt_StackElem* stack,
|
|
__Pyx_TypeInfo* type) {
|
|
stack[0].field = &ctx->root;
|
|
stack[0].parent_offset = 0;
|
|
ctx->root.type = type;
|
|
ctx->root.name = "buffer dtype";
|
|
ctx->root.offset = 0;
|
|
ctx->head = stack;
|
|
ctx->head->field = &ctx->root;
|
|
ctx->fmt_offset = 0;
|
|
ctx->head->parent_offset = 0;
|
|
ctx->new_packmode = '@';
|
|
ctx->enc_packmode = '@';
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
while (type->typegroup == 'S') {
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = 0;
|
|
type = type->fields->type;
|
|
}
|
|
}
|
|
|
|
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
|
|
int count;
|
|
const char* t = *ts;
|
|
if (*t < '0' || *t > '9') {
|
|
return -1;
|
|
} else {
|
|
count = *t++ - '0';
|
|
while (*t >= '0' && *t < '9') {
|
|
count *= 10;
|
|
count += *t++ - '0';
|
|
}
|
|
}
|
|
*ts = t;
|
|
return count;
|
|
}
|
|
|
|
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Unexpected format string character: '%c'", ch);
|
|
}
|
|
|
|
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'b': return "'char'";
|
|
case 'B': return "'unsigned char'";
|
|
case 'h': return "'short'";
|
|
case 'H': return "'unsigned short'";
|
|
case 'i': return "'int'";
|
|
case 'I': return "'unsigned int'";
|
|
case 'l': return "'long'";
|
|
case 'L': return "'unsigned long'";
|
|
case 'q': return "'long long'";
|
|
case 'Q': return "'unsigned long long'";
|
|
case 'f': return (is_complex ? "'complex float'" : "'float'");
|
|
case 'd': return (is_complex ? "'complex double'" : "'double'");
|
|
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
|
|
case 'T': return "a struct";
|
|
case 'O': return "Python object";
|
|
case 'P': return "a pointer";
|
|
case 0: return "end";
|
|
default: return "unparseable format string";
|
|
}
|
|
}
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': return 1;
|
|
case 'h': case 'H': return 2;
|
|
case 'i': case 'I': case 'l': case 'L': return 4;
|
|
case 'q': case 'Q': return 8;
|
|
case 'f': return (is_complex ? 8 : 4);
|
|
case 'd': return (is_complex ? 16 : 8);
|
|
case 'g': {
|
|
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
|
|
return 0;
|
|
}
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'B': return 1;
|
|
case 'h': case 'H': return sizeof(short);
|
|
case 'i': case 'I': return sizeof(int);
|
|
case 'l': case 'L': return sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
|
|
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
|
|
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
|
|
case 'O': case 'P': return sizeof(void*);
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
typedef struct { char c; short x; } __Pyx_st_short;
|
|
typedef struct { char c; int x; } __Pyx_st_int;
|
|
typedef struct { char c; long x; } __Pyx_st_long;
|
|
typedef struct { char c; float x; } __Pyx_st_float;
|
|
typedef struct { char c; double x; } __Pyx_st_double;
|
|
typedef struct { char c; long double x; } __Pyx_st_longdouble;
|
|
typedef struct { char c; void *x; } __Pyx_st_void_p;
|
|
#ifdef HAVE_LONG_LONG
|
|
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
|
|
#endif
|
|
|
|
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case '?': case 'c': case 'b': case 'B': return 1;
|
|
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
|
|
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
|
|
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
|
|
#ifdef HAVE_LONG_LONG
|
|
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
|
|
#endif
|
|
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
|
|
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
|
|
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
|
|
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
|
|
default:
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
|
|
switch (ch) {
|
|
case 'c': case 'b': case 'h': case 'i': case 'l': case 'q': return 'I';
|
|
case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U';
|
|
case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R');
|
|
case 'O': return 'O';
|
|
case 'P': return 'P';
|
|
default: {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
|
|
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
|
|
const char* expected;
|
|
const char* quote;
|
|
if (ctx->head == NULL) {
|
|
expected = "end";
|
|
quote = "";
|
|
} else {
|
|
expected = ctx->head->field->type->name;
|
|
quote = "'";
|
|
}
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected %s%s%s but got %s",
|
|
quote, expected, quote,
|
|
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
|
|
} else {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_StructField* parent = (ctx->head - 1)->field;
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
|
|
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
|
|
parent->type->name, field->name);
|
|
}
|
|
}
|
|
|
|
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
|
|
char group;
|
|
size_t size, offset;
|
|
if (ctx->enc_type == 0) return 0;
|
|
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
|
|
do {
|
|
__Pyx_StructField* field = ctx->head->field;
|
|
__Pyx_TypeInfo* type = field->type;
|
|
|
|
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
|
|
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
|
|
} else {
|
|
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
|
|
}
|
|
if (ctx->enc_packmode == '@') {
|
|
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
|
|
size_t align_mod_offset;
|
|
if (align_at == 0) return -1;
|
|
align_mod_offset = ctx->fmt_offset % align_at;
|
|
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
|
|
}
|
|
|
|
if (type->size != size || type->typegroup != group) {
|
|
if (type->typegroup == 'C' && type->fields != NULL) {
|
|
/* special case -- treat as struct rather than complex number */
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
++ctx->head;
|
|
ctx->head->field = type->fields;
|
|
ctx->head->parent_offset = parent_offset;
|
|
continue;
|
|
}
|
|
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
|
|
offset = ctx->head->parent_offset + field->offset;
|
|
if (ctx->fmt_offset != offset) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer dtype mismatch; next field is at offset %"PY_FORMAT_SIZE_T"d but %"PY_FORMAT_SIZE_T"d expected",
|
|
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
|
|
return -1;
|
|
}
|
|
|
|
ctx->fmt_offset += size;
|
|
|
|
--ctx->enc_count; /* Consume from buffer string */
|
|
|
|
/* Done checking, move to next field, pushing or popping struct stack if needed */
|
|
while (1) {
|
|
if (field == &ctx->root) {
|
|
ctx->head = NULL;
|
|
if (ctx->enc_count != 0) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return -1;
|
|
}
|
|
break; /* breaks both loops as ctx->enc_count == 0 */
|
|
}
|
|
ctx->head->field = ++field;
|
|
if (field->type == NULL) {
|
|
--ctx->head;
|
|
field = ctx->head->field;
|
|
continue;
|
|
} else if (field->type->typegroup == 'S') {
|
|
size_t parent_offset = ctx->head->parent_offset + field->offset;
|
|
if (field->type->fields->type == NULL) continue; /* empty struct */
|
|
field = field->type->fields;
|
|
++ctx->head;
|
|
ctx->head->field = field;
|
|
ctx->head->parent_offset = parent_offset;
|
|
break;
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
} while (ctx->enc_count);
|
|
ctx->enc_type = 0;
|
|
ctx->is_complex = 0;
|
|
return 0;
|
|
}
|
|
|
|
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
|
|
int got_Z = 0;
|
|
while (1) {
|
|
switch(*ts) {
|
|
case 0:
|
|
if (ctx->enc_type != 0 && ctx->head == NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
if (ctx->head != NULL) {
|
|
__Pyx_BufFmt_RaiseExpected(ctx);
|
|
return NULL;
|
|
}
|
|
return ts;
|
|
case ' ':
|
|
case 10:
|
|
case 13:
|
|
++ts;
|
|
break;
|
|
case '<':
|
|
if (!__Pyx_IsLittleEndian()) {
|
|
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
|
|
return NULL;
|
|
}
|
|
ctx->new_packmode = '=';
|
|
++ts;
|
|
break;
|
|
case '>':
|
|
case '!':
|
|
if (__Pyx_IsLittleEndian()) {
|
|
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
|
|
return NULL;
|
|
}
|
|
ctx->new_packmode = '=';
|
|
++ts;
|
|
break;
|
|
case '=':
|
|
case '@':
|
|
case '^':
|
|
ctx->new_packmode = *ts++;
|
|
break;
|
|
case 'T': /* substruct */
|
|
{
|
|
const char* ts_after_sub;
|
|
size_t i, struct_count = ctx->new_count;
|
|
ctx->new_count = 1;
|
|
++ts;
|
|
if (*ts != '{') {
|
|
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
|
|
return NULL;
|
|
}
|
|
++ts;
|
|
ts_after_sub = ts;
|
|
for (i = 0; i != struct_count; ++i) {
|
|
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
|
|
if (!ts_after_sub) return NULL;
|
|
}
|
|
ts = ts_after_sub;
|
|
}
|
|
break;
|
|
case '}': /* end of substruct; either repeat or move on */
|
|
++ts;
|
|
return ts;
|
|
case 'x':
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->fmt_offset += ctx->new_count;
|
|
ctx->new_count = 1;
|
|
ctx->enc_count = 0;
|
|
ctx->enc_type = 0;
|
|
ctx->enc_packmode = ctx->new_packmode;
|
|
++ts;
|
|
break;
|
|
case 'Z':
|
|
got_Z = 1;
|
|
++ts;
|
|
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
|
|
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
|
|
return NULL;
|
|
} /* fall through */
|
|
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
|
|
case 'l': case 'L': case 'q': case 'Q':
|
|
case 'f': case 'd': case 'g':
|
|
case 'O':
|
|
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
|
|
ctx->enc_packmode == ctx->new_packmode) {
|
|
/* Continue pooling same type */
|
|
ctx->enc_count += ctx->new_count;
|
|
} else {
|
|
/* New type */
|
|
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
|
|
ctx->enc_count = ctx->new_count;
|
|
ctx->enc_packmode = ctx->new_packmode;
|
|
ctx->enc_type = *ts;
|
|
ctx->is_complex = got_Z;
|
|
}
|
|
++ts;
|
|
ctx->new_count = 1;
|
|
got_Z = 0;
|
|
break;
|
|
case ':':
|
|
++ts;
|
|
while(*ts != ':') ++ts;
|
|
++ts;
|
|
break;
|
|
default:
|
|
{
|
|
int number = __Pyx_BufFmt_ParseNumber(&ts);
|
|
if (number == -1) { /* First char was not a digit */
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Does not understand character buffer dtype format string ('%c')", *ts);
|
|
return NULL;
|
|
}
|
|
ctx->new_count = (size_t)number;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
|
|
buf->buf = NULL;
|
|
buf->obj = NULL;
|
|
buf->strides = __Pyx_zeros;
|
|
buf->shape = __Pyx_zeros;
|
|
buf->suboffsets = __Pyx_minusones;
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) {
|
|
if (obj == Py_None || obj == NULL) {
|
|
__Pyx_ZeroBuffer(buf);
|
|
return 0;
|
|
}
|
|
buf->buf = NULL;
|
|
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
|
|
if (buf->ndim != nd) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Buffer has wrong number of dimensions (expected %d, got %d)",
|
|
nd, buf->ndim);
|
|
goto fail;
|
|
}
|
|
if (!cast) {
|
|
__Pyx_BufFmt_Context ctx;
|
|
__Pyx_BufFmt_Init(&ctx, stack, dtype);
|
|
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
|
|
}
|
|
if ((unsigned)buf->itemsize != dtype->size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"Item size of buffer (%"PY_FORMAT_SIZE_T"d byte%s) does not match size of '%s' (%"PY_FORMAT_SIZE_T"d byte%s)",
|
|
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
|
|
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
|
|
goto fail;
|
|
}
|
|
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
|
|
return 0;
|
|
fail:;
|
|
__Pyx_ZeroBuffer(buf);
|
|
return -1;
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
|
|
if (info->buf == NULL) return;
|
|
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
|
|
__Pyx_ReleaseBuffer(info);
|
|
}
|
|
|
|
static CYTHON_INLINE 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_RaiseNeedMoreValuesError(Py_ssize_t index) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"need more than %"PY_FORMAT_SIZE_T"d value%s to unpack",
|
|
index, (index == 1) ? "" : "s");
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"too many values to unpack (expected %"PY_FORMAT_SIZE_T"d)", expected);
|
|
}
|
|
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
|
|
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
|
|
}
|
|
|
|
static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
|
|
if (t == Py_None) {
|
|
__Pyx_RaiseNoneNotIterableError();
|
|
} else if (PyTuple_GET_SIZE(t) < index) {
|
|
__Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
|
|
} else {
|
|
__Pyx_RaiseTooManyValuesError(index);
|
|
}
|
|
}
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
|
|
#if PY_VERSION_HEX >= 0x02060000
|
|
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
|
|
#endif
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pf_5numpy_7ndarray___getbuffer__(obj, view, flags);
|
|
else {
|
|
PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
|
|
PyObject* obj = view->obj;
|
|
if (obj) {
|
|
#if PY_VERSION_HEX >= 0x02060000
|
|
if (PyObject_CheckBuffer(obj)) {PyBuffer_Release(view); return;}
|
|
#endif
|
|
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pf_5numpy_7ndarray_1__releasebuffer__(obj, view);
|
|
Py_DECREF(obj);
|
|
view->obj = NULL;
|
|
}
|
|
}
|
|
|
|
#endif
|
|
|
|
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level) {
|
|
PyObject *py_import = 0;
|
|
PyObject *empty_list = 0;
|
|
PyObject *module = 0;
|
|
PyObject *global_dict = 0;
|
|
PyObject *empty_dict = 0;
|
|
PyObject *list;
|
|
py_import = __Pyx_GetAttrString(__pyx_b, "__import__");
|
|
if (!py_import)
|
|
goto bad;
|
|
if (from_list)
|
|
list = from_list;
|
|
else {
|
|
empty_list = PyList_New(0);
|
|
if (!empty_list)
|
|
goto bad;
|
|
list = empty_list;
|
|
}
|
|
global_dict = PyModule_GetDict(__pyx_m);
|
|
if (!global_dict)
|
|
goto bad;
|
|
empty_dict = PyDict_New();
|
|
if (!empty_dict)
|
|
goto bad;
|
|
#if PY_VERSION_HEX >= 0x02050000
|
|
{
|
|
PyObject *py_level = PyInt_FromLong(level);
|
|
if (!py_level)
|
|
goto bad;
|
|
module = PyObject_CallFunctionObjArgs(py_import,
|
|
name, global_dict, empty_dict, list, py_level, NULL);
|
|
Py_DECREF(py_level);
|
|
}
|
|
#else
|
|
if (level>0) {
|
|
PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4.");
|
|
goto bad;
|
|
}
|
|
module = PyObject_CallFunctionObjArgs(py_import,
|
|
name, global_dict, empty_dict, list, NULL);
|
|
#endif
|
|
bad:
|
|
Py_XDECREF(empty_list);
|
|
Py_XDECREF(py_import);
|
|
Py_XDECREF(empty_dict);
|
|
return module;
|
|
}
|
|
|
|
#if 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* f, PyObject *arg_tuple, int newline) {
|
|
PyObject* v;
|
|
int i;
|
|
|
|
if (!f) {
|
|
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* stream, PyObject *arg_tuple, int newline) {
|
|
PyObject* kwargs = 0;
|
|
PyObject* result = 0;
|
|
PyObject* end_string;
|
|
if (unlikely(!__pyx_print)) {
|
|
__pyx_print = __Pyx_GetAttrString(__pyx_b, "print");
|
|
if (!__pyx_print)
|
|
return -1;
|
|
}
|
|
if (stream) {
|
|
kwargs = PyDict_New();
|
|
if (unlikely(!kwargs))
|
|
return -1;
|
|
if (unlikely(PyDict_SetItemString(kwargs, "file", stream) < 0))
|
|
goto bad;
|
|
if (!newline) {
|
|
end_string = PyUnicode_FromStringAndSize(" ", 1);
|
|
if (unlikely(!end_string))
|
|
goto bad;
|
|
if (PyDict_SetItemString(kwargs, "end", end_string) < 0) {
|
|
Py_DECREF(end_string);
|
|
goto bad;
|
|
}
|
|
Py_DECREF(end_string);
|
|
}
|
|
} else if (!newline) {
|
|
if (unlikely(!__pyx_print_kwargs)) {
|
|
__pyx_print_kwargs = PyDict_New();
|
|
if (unlikely(!__pyx_print_kwargs))
|
|
return -1;
|
|
end_string = PyUnicode_FromStringAndSize(" ", 1);
|
|
if (unlikely(!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 (unlikely(kwargs) && (kwargs != __pyx_print_kwargs))
|
|
Py_DECREF(kwargs);
|
|
if (!result)
|
|
return -1;
|
|
Py_DECREF(result);
|
|
return 0;
|
|
bad:
|
|
if (kwargs != __pyx_print_kwargs)
|
|
Py_XDECREF(kwargs);
|
|
return -1;
|
|
}
|
|
|
|
#endif
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
|
|
static int __Pyx_PrintOne(PyObject* f, PyObject *o) {
|
|
if (!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(f, NULL, 0);
|
|
}
|
|
|
|
#else /* Python 3 has a print function */
|
|
|
|
static int __Pyx_PrintOne(PyObject* stream, 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(stream, arg_tuple, 1);
|
|
Py_DECREF(arg_tuple);
|
|
return res;
|
|
}
|
|
|
|
#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;
|
|
}
|
|
#if 1
|
|
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) {
|
|
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
|
|
return sqrtf(z.real*z.real + z.imag*z.imag);
|
|
#else
|
|
return hypotf(z.real, z.imag);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
__pyx_t_float_complex z;
|
|
float r, lnr, theta, z_r, z_theta;
|
|
if (b.imag == 0 && b.real == (int)b.real) {
|
|
if (b.real < 0) {
|
|
float denom = a.real * a.real + a.imag * a.imag;
|
|
a.real = a.real / denom;
|
|
a.imag = -a.imag / denom;
|
|
b.real = -b.real;
|
|
}
|
|
switch ((int)b.real) {
|
|
case 0:
|
|
z.real = 1;
|
|
z.imag = 0;
|
|
return z;
|
|
case 1:
|
|
return a;
|
|
case 2:
|
|
z = __Pyx_c_prodf(a, a);
|
|
return __Pyx_c_prodf(a, a);
|
|
case 3:
|
|
z = __Pyx_c_prodf(a, a);
|
|
return __Pyx_c_prodf(z, a);
|
|
case 4:
|
|
z = __Pyx_c_prodf(a, a);
|
|
return __Pyx_c_prodf(z, z);
|
|
}
|
|
}
|
|
if (a.imag == 0) {
|
|
if (a.real == 0) {
|
|
return a;
|
|
}
|
|
r = a.real;
|
|
theta = 0;
|
|
} else {
|
|
r = __Pyx_c_absf(a);
|
|
theta = atan2f(a.imag, a.real);
|
|
}
|
|
lnr = logf(r);
|
|
z_r = expf(lnr * b.real - theta * b.imag);
|
|
z_theta = theta * b.real + lnr * b.imag;
|
|
z.real = z_r * cosf(z_theta);
|
|
z.imag = z_r * sinf(z_theta);
|
|
return z;
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
|
|
return ::std::complex< double >(x, y);
|
|
}
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
|
|
return x + y*(__pyx_t_double_complex)_Complex_I;
|
|
}
|
|
#endif
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
|
|
__pyx_t_double_complex z;
|
|
z.real = x;
|
|
z.imag = y;
|
|
return z;
|
|
}
|
|
#endif
|
|
|
|
#if CYTHON_CCOMPLEX
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
return (a.real == b.real) && (a.imag == b.imag);
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real + b.real;
|
|
z.imag = a.imag + b.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real - b.real;
|
|
z.imag = a.imag - b.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real * b.real - a.imag * b.imag;
|
|
z.imag = a.real * b.imag + a.imag * b.real;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
double denom = b.real * b.real + b.imag * b.imag;
|
|
z.real = (a.real * b.real + a.imag * b.imag) / denom;
|
|
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) {
|
|
__pyx_t_double_complex z;
|
|
z.real = -a.real;
|
|
z.imag = -a.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) {
|
|
return (a.real == 0) && (a.imag == 0);
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real;
|
|
z.imag = -a.imag;
|
|
return z;
|
|
}
|
|
#if 1
|
|
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) {
|
|
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
|
|
return sqrt(z.real*z.real + z.imag*z.imag);
|
|
#else
|
|
return hypot(z.real, z.imag);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
double r, lnr, theta, z_r, z_theta;
|
|
if (b.imag == 0 && b.real == (int)b.real) {
|
|
if (b.real < 0) {
|
|
double denom = a.real * a.real + a.imag * a.imag;
|
|
a.real = a.real / denom;
|
|
a.imag = -a.imag / denom;
|
|
b.real = -b.real;
|
|
}
|
|
switch ((int)b.real) {
|
|
case 0:
|
|
z.real = 1;
|
|
z.imag = 0;
|
|
return z;
|
|
case 1:
|
|
return a;
|
|
case 2:
|
|
z = __Pyx_c_prod(a, a);
|
|
return __Pyx_c_prod(a, a);
|
|
case 3:
|
|
z = __Pyx_c_prod(a, a);
|
|
return __Pyx_c_prod(z, a);
|
|
case 4:
|
|
z = __Pyx_c_prod(a, a);
|
|
return __Pyx_c_prod(z, z);
|
|
}
|
|
}
|
|
if (a.imag == 0) {
|
|
if (a.real == 0) {
|
|
return a;
|
|
}
|
|
r = a.real;
|
|
theta = 0;
|
|
} else {
|
|
r = __Pyx_c_abs(a);
|
|
theta = atan2(a.imag, a.real);
|
|
}
|
|
lnr = log(r);
|
|
z_r = exp(lnr * b.real - theta * b.imag);
|
|
z_theta = theta * b.real + lnr * b.imag;
|
|
z.real = z_r * cos(z_theta);
|
|
z.imag = z_r * sin(z_theta);
|
|
return z;
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) {
|
|
const unsigned char neg_one = (unsigned char)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(unsigned char) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(unsigned char)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to unsigned char" :
|
|
"value too large to convert to unsigned char");
|
|
}
|
|
return (unsigned char)-1;
|
|
}
|
|
return (unsigned char)val;
|
|
}
|
|
return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) {
|
|
const unsigned short neg_one = (unsigned short)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(unsigned short) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(unsigned short)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to unsigned short" :
|
|
"value too large to convert to unsigned short");
|
|
}
|
|
return (unsigned short)-1;
|
|
}
|
|
return (unsigned short)val;
|
|
}
|
|
return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) {
|
|
const unsigned int neg_one = (unsigned int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(unsigned int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(unsigned int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to unsigned int" :
|
|
"value too large to convert to unsigned int");
|
|
}
|
|
return (unsigned int)-1;
|
|
}
|
|
return (unsigned int)val;
|
|
}
|
|
return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) {
|
|
const char neg_one = (char)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(char) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(char)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to char" :
|
|
"value too large to convert to char");
|
|
}
|
|
return (char)-1;
|
|
}
|
|
return (char)val;
|
|
}
|
|
return (char)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) {
|
|
const short neg_one = (short)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(short) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(short)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to short" :
|
|
"value too large to convert to short");
|
|
}
|
|
return (short)-1;
|
|
}
|
|
return (short)val;
|
|
}
|
|
return (short)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) {
|
|
const int neg_one = (int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to int" :
|
|
"value too large to convert to int");
|
|
}
|
|
return (int)-1;
|
|
}
|
|
return (int)val;
|
|
}
|
|
return (int)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) {
|
|
const signed char neg_one = (signed char)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(signed char) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(signed char)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to signed char" :
|
|
"value too large to convert to signed char");
|
|
}
|
|
return (signed char)-1;
|
|
}
|
|
return (signed char)val;
|
|
}
|
|
return (signed char)__Pyx_PyInt_AsSignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) {
|
|
const signed short neg_one = (signed short)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(signed short) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(signed short)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to signed short" :
|
|
"value too large to convert to signed short");
|
|
}
|
|
return (signed short)-1;
|
|
}
|
|
return (signed short)val;
|
|
}
|
|
return (signed short)__Pyx_PyInt_AsSignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) {
|
|
const signed int neg_one = (signed int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(signed int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(signed int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to signed int" :
|
|
"value too large to convert to signed int");
|
|
}
|
|
return (signed int)-1;
|
|
}
|
|
return (signed int)val;
|
|
}
|
|
return (signed int)__Pyx_PyInt_AsSignedLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) {
|
|
const int neg_one = (int)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (sizeof(int) < sizeof(long)) {
|
|
long val = __Pyx_PyInt_AsLong(x);
|
|
if (unlikely(val != (long)(int)val)) {
|
|
if (!unlikely(val == -1 && PyErr_Occurred())) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
(is_unsigned && unlikely(val < 0)) ?
|
|
"can't convert negative value to int" :
|
|
"value too large to convert to int");
|
|
}
|
|
return (int)-1;
|
|
}
|
|
return (int)val;
|
|
}
|
|
return (int)__Pyx_PyInt_AsLong(x);
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) {
|
|
const unsigned long neg_one = (unsigned long)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned long");
|
|
return (unsigned long)-1;
|
|
}
|
|
return (unsigned long)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned long");
|
|
return (unsigned long)-1;
|
|
}
|
|
return (unsigned long)PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return (unsigned long)PyLong_AsLong(x);
|
|
}
|
|
} else {
|
|
unsigned long val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (unsigned long)-1;
|
|
val = __Pyx_PyInt_AsUnsignedLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) {
|
|
const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned PY_LONG_LONG");
|
|
return (unsigned PY_LONG_LONG)-1;
|
|
}
|
|
return (unsigned PY_LONG_LONG)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned PY_LONG_LONG");
|
|
return (unsigned PY_LONG_LONG)-1;
|
|
}
|
|
return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x);
|
|
}
|
|
} else {
|
|
unsigned PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (unsigned PY_LONG_LONG)-1;
|
|
val = __Pyx_PyInt_AsUnsignedLongLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) {
|
|
const long neg_one = (long)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to long");
|
|
return (long)-1;
|
|
}
|
|
return (long)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to long");
|
|
return (long)-1;
|
|
}
|
|
return (long)PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return (long)PyLong_AsLong(x);
|
|
}
|
|
} else {
|
|
long val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (long)-1;
|
|
val = __Pyx_PyInt_AsLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) {
|
|
const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to PY_LONG_LONG");
|
|
return (PY_LONG_LONG)-1;
|
|
}
|
|
return (PY_LONG_LONG)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to PY_LONG_LONG");
|
|
return (PY_LONG_LONG)-1;
|
|
}
|
|
return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return (PY_LONG_LONG)PyLong_AsLongLong(x);
|
|
}
|
|
} else {
|
|
PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (PY_LONG_LONG)-1;
|
|
val = __Pyx_PyInt_AsLongLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) {
|
|
const signed long neg_one = (signed long)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed long");
|
|
return (signed long)-1;
|
|
}
|
|
return (signed long)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed long");
|
|
return (signed long)-1;
|
|
}
|
|
return (signed long)PyLong_AsUnsignedLong(x);
|
|
} else {
|
|
return (signed long)PyLong_AsLong(x);
|
|
}
|
|
} else {
|
|
signed long val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (signed long)-1;
|
|
val = __Pyx_PyInt_AsSignedLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) {
|
|
const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (likely(PyInt_Check(x))) {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed PY_LONG_LONG");
|
|
return (signed PY_LONG_LONG)-1;
|
|
}
|
|
return (signed PY_LONG_LONG)val;
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to signed PY_LONG_LONG");
|
|
return (signed PY_LONG_LONG)-1;
|
|
}
|
|
return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
|
|
} else {
|
|
return (signed PY_LONG_LONG)PyLong_AsLongLong(x);
|
|
}
|
|
} else {
|
|
signed PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_Int(x);
|
|
if (!tmp) return (signed PY_LONG_LONG)-1;
|
|
val = __Pyx_PyInt_AsSignedLongLong(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
}
|
|
|
|
static void __Pyx_WriteUnraisable(const char *name, int clineno,
|
|
int lineno, const char *filename) {
|
|
PyObject *old_exc, *old_val, *old_tb;
|
|
PyObject *ctx;
|
|
__Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
|
|
#if PY_MAJOR_VERSION < 3
|
|
ctx = PyString_FromString(name);
|
|
#else
|
|
ctx = PyUnicode_FromString(name);
|
|
#endif
|
|
__Pyx_ErrRestore(old_exc, old_val, old_tb);
|
|
if (!ctx) {
|
|
PyErr_WriteUnraisable(Py_None);
|
|
} else {
|
|
PyErr_WriteUnraisable(ctx);
|
|
Py_DECREF(ctx);
|
|
}
|
|
}
|
|
|
|
static int __Pyx_check_binary_version(void) {
|
|
char ctversion[4], rtversion[4];
|
|
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
|
|
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
|
|
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
|
|
char message[200];
|
|
PyOS_snprintf(message, sizeof(message),
|
|
"compiletime version %s of module '%.100s' "
|
|
"does not match runtime version %s",
|
|
ctversion, __Pyx_MODULE_NAME, rtversion);
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
return PyErr_Warn(NULL, message);
|
|
#else
|
|
return PyErr_WarnEx(NULL, message, 1);
|
|
#endif
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
|
|
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0)
|
|
PyObject *ob = PyCapsule_New(vtable, 0, 0);
|
|
#else
|
|
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
|
|
#endif
|
|
if (!ob)
|
|
goto bad;
|
|
if (PyDict_SetItemString(dict, "__pyx_vtable__", ob) < 0)
|
|
goto bad;
|
|
Py_DECREF(ob);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(ob);
|
|
return -1;
|
|
}
|
|
|
|
#ifndef __PYX_HAVE_RT_ImportType
|
|
#define __PYX_HAVE_RT_ImportType
|
|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
|
|
size_t size, int strict)
|
|
{
|
|
PyObject *py_module = 0;
|
|
PyObject *result = 0;
|
|
PyObject *py_name = 0;
|
|
char warning[200];
|
|
|
|
py_module = __Pyx_ImportModule(module_name);
|
|
if (!py_module)
|
|
goto bad;
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_name = PyString_FromString(class_name);
|
|
#else
|
|
py_name = PyUnicode_FromString(class_name);
|
|
#endif
|
|
if (!py_name)
|
|
goto bad;
|
|
result = PyObject_GetAttr(py_module, py_name);
|
|
Py_DECREF(py_name);
|
|
py_name = 0;
|
|
Py_DECREF(py_module);
|
|
py_module = 0;
|
|
if (!result)
|
|
goto bad;
|
|
if (!PyType_Check(result)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%s.%s is not a type object",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
if (!strict && ((PyTypeObject *)result)->tp_basicsize > (Py_ssize_t)size) {
|
|
PyOS_snprintf(warning, sizeof(warning),
|
|
"%s.%s size changed, may indicate binary incompatibility",
|
|
module_name, class_name);
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (PyErr_Warn(NULL, warning) < 0) goto bad;
|
|
#else
|
|
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
|
|
#endif
|
|
}
|
|
else if (((PyTypeObject *)result)->tp_basicsize != (Py_ssize_t)size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"%s.%s has the wrong size, try recompiling",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
return (PyTypeObject *)result;
|
|
bad:
|
|
Py_XDECREF(py_module);
|
|
Py_XDECREF(result);
|
|
return NULL;
|
|
}
|
|
#endif
|
|
|
|
#ifndef __PYX_HAVE_RT_ImportModule
|
|
#define __PYX_HAVE_RT_ImportModule
|
|
static PyObject *__Pyx_ImportModule(const char *name) {
|
|
PyObject *py_name = 0;
|
|
PyObject *py_module = 0;
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_name = PyString_FromString(name);
|
|
#else
|
|
py_name = PyUnicode_FromString(name);
|
|
#endif
|
|
if (!py_name)
|
|
goto bad;
|
|
py_module = PyImport_Import(py_name);
|
|
Py_DECREF(py_name);
|
|
return py_module;
|
|
bad:
|
|
Py_XDECREF(py_name);
|
|
return 0;
|
|
}
|
|
#endif
|
|
|
|
static void* __Pyx_GetVtable(PyObject *dict) {
|
|
void* ptr;
|
|
PyObject *ob = PyMapping_GetItemString(dict, (char *)"__pyx_vtable__");
|
|
if (!ob)
|
|
goto bad;
|
|
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0)
|
|
ptr = PyCapsule_GetPointer(ob, 0);
|
|
#else
|
|
ptr = PyCObject_AsVoidPtr(ob);
|
|
#endif
|
|
if (!ptr && !PyErr_Occurred())
|
|
PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type");
|
|
Py_DECREF(ob);
|
|
return ptr;
|
|
bad:
|
|
Py_XDECREF(ob);
|
|
return NULL;
|
|
}
|
|
|
|
#include "compile.h"
|
|
#include "frameobject.h"
|
|
#include "traceback.h"
|
|
|
|
static void __Pyx_AddTraceback(const char *funcname, int __pyx_clineno,
|
|
int __pyx_lineno, const char *__pyx_filename) {
|
|
PyObject *py_srcfile = 0;
|
|
PyObject *py_funcname = 0;
|
|
PyObject *py_globals = 0;
|
|
PyCodeObject *py_code = 0;
|
|
PyFrameObject *py_frame = 0;
|
|
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_srcfile = PyString_FromString(__pyx_filename);
|
|
#else
|
|
py_srcfile = PyUnicode_FromString(__pyx_filename);
|
|
#endif
|
|
if (!py_srcfile) goto bad;
|
|
if (__pyx_clineno) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
|
|
#else
|
|
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
|
|
#endif
|
|
}
|
|
else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromString(funcname);
|
|
#else
|
|
py_funcname = PyUnicode_FromString(funcname);
|
|
#endif
|
|
}
|
|
if (!py_funcname) goto bad;
|
|
py_globals = PyModule_GetDict(__pyx_m);
|
|
if (!py_globals) goto bad;
|
|
py_code = PyCode_New(
|
|
0, /*int argcount,*/
|
|
#if PY_MAJOR_VERSION >= 3
|
|
0, /*int kwonlyargcount,*/
|
|
#endif
|
|
0, /*int nlocals,*/
|
|
0, /*int stacksize,*/
|
|
0, /*int flags,*/
|
|
__pyx_empty_bytes, /*PyObject *code,*/
|
|
__pyx_empty_tuple, /*PyObject *consts,*/
|
|
__pyx_empty_tuple, /*PyObject *names,*/
|
|
__pyx_empty_tuple, /*PyObject *varnames,*/
|
|
__pyx_empty_tuple, /*PyObject *freevars,*/
|
|
__pyx_empty_tuple, /*PyObject *cellvars,*/
|
|
py_srcfile, /*PyObject *filename,*/
|
|
py_funcname, /*PyObject *name,*/
|
|
__pyx_lineno, /*int firstlineno,*/
|
|
__pyx_empty_bytes /*PyObject *lnotab*/
|
|
);
|
|
if (!py_code) goto bad;
|
|
py_frame = PyFrame_New(
|
|
PyThreadState_GET(), /*PyThreadState *tstate,*/
|
|
py_code, /*PyCodeObject *code,*/
|
|
py_globals, /*PyObject *globals,*/
|
|
0 /*PyObject *locals*/
|
|
);
|
|
if (!py_frame) goto bad;
|
|
py_frame->f_lineno = __pyx_lineno;
|
|
PyTraceBack_Here(py_frame);
|
|
bad:
|
|
Py_XDECREF(py_srcfile);
|
|
Py_XDECREF(py_funcname);
|
|
Py_XDECREF(py_code);
|
|
Py_XDECREF(py_frame);
|
|
}
|
|
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
|
|
while (t->p) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (t->is_unicode) {
|
|
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
|
|
} else if (t->intern) {
|
|
*t->p = PyString_InternFromString(t->s);
|
|
} else {
|
|
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
#else /* Python 3+ has unicode identifiers */
|
|
if (t->is_unicode | t->is_str) {
|
|
if (t->intern) {
|
|
*t->p = PyUnicode_InternFromString(t->s);
|
|
} else if (t->encoding) {
|
|
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
|
|
} else {
|
|
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
} else {
|
|
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
#endif
|
|
if (!*t->p)
|
|
return -1;
|
|
++t;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/* Type Conversion Functions */
|
|
|
|
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
|
|
int is_true = x == Py_True;
|
|
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
|
|
else return PyObject_IsTrue(x);
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) {
|
|
PyNumberMethods *m;
|
|
const char *name = NULL;
|
|
PyObject *res = NULL;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (PyInt_Check(x) || PyLong_Check(x))
|
|
#else
|
|
if (PyLong_Check(x))
|
|
#endif
|
|
return Py_INCREF(x), x;
|
|
m = Py_TYPE(x)->tp_as_number;
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (m && m->nb_int) {
|
|
name = "int";
|
|
res = PyNumber_Int(x);
|
|
}
|
|
else if (m && m->nb_long) {
|
|
name = "long";
|
|
res = PyNumber_Long(x);
|
|
}
|
|
#else
|
|
if (m && m->nb_int) {
|
|
name = "int";
|
|
res = PyNumber_Long(x);
|
|
}
|
|
#endif
|
|
if (res) {
|
|
#if PY_VERSION_HEX < 0x03000000
|
|
if (!PyInt_Check(res) && !PyLong_Check(res)) {
|
|
#else
|
|
if (!PyLong_Check(res)) {
|
|
#endif
|
|
PyErr_Format(PyExc_TypeError,
|
|
"__%s__ returned non-%s (type %.200s)",
|
|
name, name, Py_TYPE(res)->tp_name);
|
|
Py_DECREF(res);
|
|
return NULL;
|
|
}
|
|
}
|
|
else if (!PyErr_Occurred()) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"an integer is required");
|
|
}
|
|
return res;
|
|
}
|
|
|
|
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
|
|
Py_ssize_t ival;
|
|
PyObject* x = PyNumber_Index(b);
|
|
if (!x) return -1;
|
|
ival = PyInt_AsSsize_t(x);
|
|
Py_DECREF(x);
|
|
return ival;
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
|
|
#if PY_VERSION_HEX < 0x02050000
|
|
if (ival <= LONG_MAX)
|
|
return PyInt_FromLong((long)ival);
|
|
else {
|
|
unsigned char *bytes = (unsigned char *) &ival;
|
|
int one = 1; int little = (int)*(unsigned char*)&one;
|
|
return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0);
|
|
}
|
|
#else
|
|
return PyInt_FromSize_t(ival);
|
|
#endif
|
|
}
|
|
|
|
static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) {
|
|
unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x);
|
|
if (unlikely(val == (unsigned PY_LONG_LONG)-1 && PyErr_Occurred())) {
|
|
return (size_t)-1;
|
|
} else if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) {
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to size_t");
|
|
return (size_t)-1;
|
|
}
|
|
return (size_t)val;
|
|
}
|
|
|
|
|
|
#endif /* Py_PYTHON_H */
|