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scikit-learn/sklearn/linear_model/sgd_fast.c

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#define _USE_MATH_DEFINES
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#include <math.h>
#define __PYX_HAVE__sklearn__linear_model__sgd_fast
#define __PYX_HAVE_API__sklearn__linear_model__sgd_fast
#include "math.h"
#include "string.h"
#include "stdio.h"
#include "stdlib.h"
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include "sgd_fast_helpers.h"
#ifdef _OPENMP
#include <omp.h>
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#define CYTHON_WITHOUT_ASSERTIONS
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#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
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const Py_UNICODE *u_end = u;
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PyObject* ascii_chars_b = NULL;
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if (!sys) goto bad;
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Py_DECREF(sys);
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int c;
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PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
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PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
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default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
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__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c));
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strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
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/* Test for GCC > 2.95 */
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#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
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static const char *__pyx_filename;
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#define CYTHON_CCOMPLEX 1
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#define CYTHON_CCOMPLEX 0
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#include <complex>
#else
#include <complex.h>
#endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
#undef _Complex_I
#define _Complex_I 1.0fj
#endif
static const char *__pyx_f[] = {
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"__init__.pxd",
"type.pxd",
"sklearn/utils/weight_vector.pxd",
"sklearn/utils/seq_dataset.pxd",
};
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name;
struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
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typedef struct __Pyx_StructField_ {
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typedef struct {
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size_t fmt_offset;
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/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":726
* # in Cython to enable them only on the right systems.
*
* ctypedef npy_int8 int8_t # <<<<<<<<<<<<<<
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t
*/
typedef npy_int8 __pyx_t_5numpy_int8_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":727
*
* ctypedef npy_int8 int8_t
* ctypedef npy_int16 int16_t # <<<<<<<<<<<<<<
* ctypedef npy_int32 int32_t
* ctypedef npy_int64 int64_t
*/
typedef npy_int16 __pyx_t_5numpy_int16_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":728
* ctypedef npy_int8 int8_t
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t # <<<<<<<<<<<<<<
* ctypedef npy_int64 int64_t
* #ctypedef npy_int96 int96_t
*/
typedef npy_int32 __pyx_t_5numpy_int32_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":729
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t
* ctypedef npy_int64 int64_t # <<<<<<<<<<<<<<
* #ctypedef npy_int96 int96_t
* #ctypedef npy_int128 int128_t
*/
typedef npy_int64 __pyx_t_5numpy_int64_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":733
* #ctypedef npy_int128 int128_t
*
* ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<<
* ctypedef npy_uint16 uint16_t
* ctypedef npy_uint32 uint32_t
*/
typedef npy_uint8 __pyx_t_5numpy_uint8_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":734
*
* ctypedef npy_uint8 uint8_t
* ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<<
* ctypedef npy_uint32 uint32_t
* ctypedef npy_uint64 uint64_t
*/
typedef npy_uint16 __pyx_t_5numpy_uint16_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":735
* ctypedef npy_uint8 uint8_t
* ctypedef npy_uint16 uint16_t
* ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<<
* ctypedef npy_uint64 uint64_t
* #ctypedef npy_uint96 uint96_t
*/
typedef npy_uint32 __pyx_t_5numpy_uint32_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":736
* ctypedef npy_uint16 uint16_t
* ctypedef npy_uint32 uint32_t
* ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<<
* #ctypedef npy_uint96 uint96_t
* #ctypedef npy_uint128 uint128_t
*/
typedef npy_uint64 __pyx_t_5numpy_uint64_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":740
* #ctypedef npy_uint128 uint128_t
*
* ctypedef npy_float32 float32_t # <<<<<<<<<<<<<<
* ctypedef npy_float64 float64_t
* #ctypedef npy_float80 float80_t
*/
typedef npy_float32 __pyx_t_5numpy_float32_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":741
*
* ctypedef npy_float32 float32_t
* ctypedef npy_float64 float64_t # <<<<<<<<<<<<<<
* #ctypedef npy_float80 float80_t
* #ctypedef npy_float128 float128_t
*/
typedef npy_float64 __pyx_t_5numpy_float64_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":750
* # The int types are mapped a bit surprising --
* # numpy.int corresponds to 'l' and numpy.long to 'q'
* ctypedef npy_long int_t # <<<<<<<<<<<<<<
* ctypedef npy_longlong long_t
* ctypedef npy_longlong longlong_t
*/
typedef npy_long __pyx_t_5numpy_int_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":751
* # numpy.int corresponds to 'l' and numpy.long to 'q'
* ctypedef npy_long int_t
* ctypedef npy_longlong long_t # <<<<<<<<<<<<<<
* ctypedef npy_longlong longlong_t
*
*/
typedef npy_longlong __pyx_t_5numpy_long_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":752
* ctypedef npy_long int_t
* ctypedef npy_longlong long_t
* ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<<
*
* ctypedef npy_ulong uint_t
*/
typedef npy_longlong __pyx_t_5numpy_longlong_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":754
* ctypedef npy_longlong longlong_t
*
* ctypedef npy_ulong uint_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulong_t
* ctypedef npy_ulonglong ulonglong_t
*/
typedef npy_ulong __pyx_t_5numpy_uint_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":755
*
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulonglong_t
*
*/
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":756
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t
* ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<<
*
* ctypedef npy_intp intp_t
*/
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":758
* ctypedef npy_ulonglong ulonglong_t
*
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
* ctypedef npy_uintp uintp_t
*
*/
typedef npy_intp __pyx_t_5numpy_intp_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":759
*
* ctypedef npy_intp intp_t
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
*
* ctypedef npy_double float_t
*/
typedef npy_uintp __pyx_t_5numpy_uintp_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":761
* ctypedef npy_uintp uintp_t
*
* ctypedef npy_double float_t # <<<<<<<<<<<<<<
* ctypedef npy_double double_t
* ctypedef npy_longdouble longdouble_t
*/
typedef npy_double __pyx_t_5numpy_float_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":762
*
* ctypedef npy_double float_t
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
* ctypedef npy_longdouble longdouble_t
*
*/
typedef npy_double __pyx_t_5numpy_double_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":763
* ctypedef npy_double float_t
* ctypedef npy_double double_t
* ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<<
*
* ctypedef npy_cfloat cfloat_t
*/
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
#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_5utils_13weight_vector_WeightVector;
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset;
struct __pyx_obj_7sklearn_5utils_11seq_dataset_ArrayDataset;
struct __pyx_obj_7sklearn_5utils_11seq_dataset_CSRDataset;
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_Classification;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLoss;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHinge;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive;
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":765
* ctypedef npy_longdouble longdouble_t
*
* ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<<
* ctypedef npy_cdouble cdouble_t
* ctypedef npy_clongdouble clongdouble_t
*/
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":766
*
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
* ctypedef npy_clongdouble clongdouble_t
*
*/
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":767
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t
* ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<<
*
* ctypedef npy_cdouble complex_t
*/
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":769
* ctypedef npy_clongdouble clongdouble_t
*
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew1(a):
*/
typedef npy_cdouble __pyx_t_5numpy_complex_t;
/* "sklearn/utils/weight_vector.pxd":10
*
*
* cdef class WeightVector(object): # <<<<<<<<<<<<<<
* cdef np.ndarray w
* cdef np.ndarray aw
*/
struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector {
PyObject_HEAD
struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector *__pyx_vtab;
PyArrayObject *w;
PyArrayObject *aw;
double *w_data_ptr;
double *aw_data_ptr;
double wscale;
double average_a;
double average_b;
int n_features;
double sq_norm;
};
/* "sklearn/utils/seq_dataset.pxd":8
* # iterators over the rows of a matrix X and corresponding target values y.
*
* cdef class SequentialDataset: # <<<<<<<<<<<<<<
* cdef int current_index
* cdef np.ndarray index
*/
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset {
PyObject_HEAD
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_vtab;
int current_index;
PyArrayObject *index;
int *index_data_ptr;
Py_ssize_t n_samples;
__pyx_t_5numpy_uint32_t seed;
};
/* "sklearn/utils/seq_dataset.pxd":28
*
*
* cdef class ArrayDataset(SequentialDataset): # <<<<<<<<<<<<<<
* cdef np.ndarray X
* cdef np.ndarray Y
*/
struct __pyx_obj_7sklearn_5utils_11seq_dataset_ArrayDataset {
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset __pyx_base;
PyArrayObject *X;
PyArrayObject *Y;
PyArrayObject *sample_weights;
Py_ssize_t n_features;
int stride;
double *X_data_ptr;
double *Y_data_ptr;
PyArrayObject *feature_indices;
int *feature_indices_ptr;
double *sample_weight_data;
};
/* "sklearn/utils/seq_dataset.pxd":40
* cdef double *sample_weight_data
*
* cdef class CSRDataset(SequentialDataset): # <<<<<<<<<<<<<<
* cdef np.ndarray X_data
* cdef np.ndarray X_indptr
*/
struct __pyx_obj_7sklearn_5utils_11seq_dataset_CSRDataset {
struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset __pyx_base;
PyArrayObject *X_data;
PyArrayObject *X_indptr;
PyArrayObject *X_indices;
PyArrayObject *Y;
PyArrayObject *sample_weights;
int stride;
double *X_data_ptr;
int *X_indptr_ptr;
int *X_indices_ptr;
double *Y_data_ptr;
PyArrayObject *feature_indices;
int *feature_indices_ptr;
double *sample_weight_data;
};
/* "sklearn/linear_model/sgd_fast.pxd":4
* # Licence: BSD 3 clause
*
* cdef class LossFunction: # <<<<<<<<<<<<<<
* cdef double loss(self, double p, double y) nogil
* cdef double _dloss(self, double p, double y) nogil
*/
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.pxd":9
*
*
* cdef class Regression(LossFunction): # <<<<<<<<<<<<<<
* cdef double loss(self, double p, double y) nogil
* cdef double _dloss(self, double p, double y) nogil
*/
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.pxd":14
*
*
* cdef class Classification(LossFunction): # <<<<<<<<<<<<<<
* cdef double loss(self, double p, double y) nogil
* cdef double _dloss(self, double p, double y) nogil
*/
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification {
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
};
/* "sklearn/linear_model/sgd_fast.pxd":19
*
*
* cdef class Log(Classification): # <<<<<<<<<<<<<<
* cdef double loss(self, double p, double y) nogil
* cdef double _dloss(self, double p, double y) nogil
*/
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.pxd":24
*
*
* cdef class SquaredLoss(Regression): # <<<<<<<<<<<<<<
* cdef double loss(self, double p, double y) nogil
* cdef double _dloss(self, double p, double y) nogil
*/
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":108
*
*
* 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/linear_model/sgd_fast.pyx":138
*
*
* 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/linear_model/sgd_fast.pyx":170
*
*
* cdef class SquaredHinge(LossFunction): # <<<<<<<<<<<<<<
* """Squared Hinge loss for binary classification tasks with y in {-1,1}
*
*/
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHinge {
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
double threshold;
};
/* "sklearn/linear_model/sgd_fast.pyx":239
*
*
* 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/linear_model/sgd_fast.pyx":275
*
*
* 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":302
*
*
* cdef class SquaredEpsilonInsensitive(Regression): # <<<<<<<<<<<<<<
* """Epsilon-Insensitive loss.
*
*/
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive {
struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
double epsilon;
};
/* "sklearn/utils/weight_vector.pxd":10
*
*
* cdef class WeightVector(object): # <<<<<<<<<<<<<<
* cdef np.ndarray w
* cdef np.ndarray aw
*/
struct __pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVector {
void (*add)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, double *, int *, int, double);
void (*add_average)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, double *, int *, int, double, double);
double (*dot)(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, double *, int *, 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;
/* "sklearn/utils/seq_dataset.pxd":8
* # iterators over the rows of a matrix X and corresponding target values y.
*
* cdef class SequentialDataset: # <<<<<<<<<<<<<<
* cdef int current_index
* cdef np.ndarray index
*/
struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset {
void (*next)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *, double **, int **, int *, double *, double *);
void (*shuffle)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *, __pyx_t_5numpy_uint32_t);
int (*_get_next_index)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *);
int (*_get_random_index)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *);
void (*_sample)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *, double **, int **, int *, double *, double *, int);
int (*random)(struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *, double **, int **, int *, double *, double *);
};
static struct __pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_vtabptr_7sklearn_5utils_11seq_dataset_SequentialDataset;
/* "sklearn/utils/seq_dataset.pxd":28
*
*
* cdef class ArrayDataset(SequentialDataset): # <<<<<<<<<<<<<<
* cdef np.ndarray X
* cdef np.ndarray Y
*/
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":40
* cdef double *sample_weight_data
*
* cdef class CSRDataset(SequentialDataset): # <<<<<<<<<<<<<<
* cdef np.ndarray X_data
* cdef np.ndarray X_indptr
*/
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":45
* # ----------------------------------------
*
* 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);
double (*_dloss)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double);
};
static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunction;
/* "sklearn/linear_model/sgd_fast.pyx":88
*
*
* 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":98
*
*
* 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":202
*
*
* 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;
/* "sklearn/linear_model/sgd_fast.pyx":227
*
*
* cdef class SquaredLoss(Regression): # <<<<<<<<<<<<<<
* """Squared loss traditional used in linear regression."""
* cdef double loss(self, double p, double y) nogil:
*/
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;
/* "sklearn/linear_model/sgd_fast.pyx":108
*
*
* 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":138
*
*
* 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/linear_model/sgd_fast.pyx":170
*
*
* cdef class SquaredHinge(LossFunction): # <<<<<<<<<<<<<<
* """Squared Hinge loss for binary classification tasks with y in {-1,1}
*
*/
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredHinge {
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction __pyx_base;
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static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredHinge *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredHinge;
/* "sklearn/linear_model/sgd_fast.pyx":239
*
*
* cdef class Huber(Regression): # <<<<<<<<<<<<<<
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*
*/
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":275
*
*
* cdef class EpsilonInsensitive(Regression): # <<<<<<<<<<<<<<
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*
*/
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":302
*
*
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*
*/
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive {
struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regression __pyx_base;
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static struct __pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive;
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static double __pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge__dloss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_loss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHinge *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge__dloss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHinge *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_3Log_loss(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_3Log__dloss(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_loss(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLoss *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss__dloss(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLoss *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber_loss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber__dloss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_loss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive__dloss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_loss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive__dloss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto*/
/* Module declarations from 'cython' */
/* Module declarations from 'libc.math' */
/* Module declarations from 'cpython.buffer' */
/* Module declarations from 'cpython.ref' */
/* Module declarations from 'libc.string' */
/* Module declarations from 'libc.stdio' */
/* Module declarations from 'cpython.object' */
/* Module declarations from '__builtin__' */
/* Module declarations from 'cpython.type' */
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
/* Module declarations from 'libc.stdlib' */
/* Module declarations from 'numpy' */
/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
/* Module declarations from 'sklearn.utils.weight_vector' */
static PyTypeObject *__pyx_ptype_7sklearn_5utils_13weight_vector_WeightVector = 0;
/* Module declarations from 'sklearn.utils.seq_dataset' */
static PyTypeObject *__pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset = 0;
static PyTypeObject *__pyx_ptype_7sklearn_5utils_11seq_dataset_ArrayDataset = 0;
static PyTypeObject *__pyx_ptype_7sklearn_5utils_11seq_dataset_CSRDataset = 0;
/* Module declarations from 'sklearn.linear_model.sgd_fast' */
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Log = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredLoss = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHuber = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredHinge = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Huber = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive = 0;
static PyTypeObject *__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive = 0;
static int __pyx_f_7sklearn_12linear_model_8sgd_fast_any_nonfinite(double *, int); /*proto*/
static double __pyx_f_7sklearn_12linear_model_8sgd_fast_sqnorm(double *, int *, int); /*proto*/
static void __pyx_f_7sklearn_12linear_model_8sgd_fast_l1penalty(struct __pyx_obj_7sklearn_5utils_13weight_vector_WeightVector *, double *, int *, int, double); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
#define __Pyx_MODULE_NAME "sklearn.linear_model.sgd_fast"
int __pyx_module_is_main_sklearn__linear_model__sgd_fast = 0;
/* Implementation of 'sklearn.linear_model.sgd_fast' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_12LossFunction_dloss(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_v_self, double __pyx_v_p, double __pyx_v_y); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber___reduce__(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_12linear_model_8sgd_fast_5Hinge___init__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge *__pyx_v_self, double __pyx_v_threshold); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_5Hinge_2__reduce__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Hinge *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_12linear_model_8sgd_fast_12SquaredHinge___init__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHinge *__pyx_v_self, double __pyx_v_threshold); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_2__reduce__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHinge *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_3Log___reduce__(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Log *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_11SquaredLoss___reduce__(CYTHON_UNUSED struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLoss *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_12linear_model_8sgd_fast_5Huber___init__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber *__pyx_v_self, double __pyx_v_c); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_5Huber_2__reduce__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive___init__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive *__pyx_v_self, double __pyx_v_epsilon); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_2__reduce__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive___init__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive *__pyx_v_self, double __pyx_v_epsilon); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_2__reduce__(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_plain_sgd(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_weights, double __pyx_v_intercept, struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_v_loss, int __pyx_v_penalty_type, double __pyx_v_alpha, double __pyx_v_C, double __pyx_v_l1_ratio, struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_v_dataset, int __pyx_v_n_iter, int __pyx_v_fit_intercept, int __pyx_v_verbose, int __pyx_v_shuffle, __pyx_t_5numpy_uint32_t __pyx_v_seed, double __pyx_v_weight_pos, double __pyx_v_weight_neg, int __pyx_v_learning_rate, double __pyx_v_eta0, double __pyx_v_power_t, double __pyx_v_t, double __pyx_v_intercept_decay); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_2average_sgd(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_weights, double __pyx_v_intercept, PyArrayObject *__pyx_v_average_weights, double __pyx_v_average_intercept, struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_v_loss, int __pyx_v_penalty_type, double __pyx_v_alpha, double __pyx_v_C, double __pyx_v_l1_ratio, struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_v_dataset, int __pyx_v_n_iter, int __pyx_v_fit_intercept, int __pyx_v_verbose, int __pyx_v_shuffle, __pyx_t_5numpy_uint32_t __pyx_v_seed, double __pyx_v_weight_pos, double __pyx_v_weight_neg, int __pyx_v_learning_rate, double __pyx_v_eta0, double __pyx_v_power_t, double __pyx_v_t, double __pyx_v_intercept_decay, int __pyx_v_average); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_8sgd_fast_4_plain_sgd(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_weights, double __pyx_v_intercept, PyArrayObject *__pyx_v_average_weights, double __pyx_v_average_intercept, struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *__pyx_v_loss, int __pyx_v_penalty_type, double __pyx_v_alpha, double __pyx_v_C, double __pyx_v_l1_ratio, struct __pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset *__pyx_v_dataset, int __pyx_v_n_iter, int __pyx_v_fit_intercept, int __pyx_v_verbose, int __pyx_v_shuffle, __pyx_t_5numpy_uint32_t __pyx_v_seed, double __pyx_v_weight_pos, double __pyx_v_weight_neg, int __pyx_v_learning_rate, double __pyx_v_eta0, double __pyx_v_power_t, double __pyx_v_t, double __pyx_v_intercept_decay, int __pyx_v_average); /* proto */
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_LossFunction(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Regression(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Classification(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Log(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredLoss(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_ModifiedHuber(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Hinge(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredHinge(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Huber(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static char __pyx_k_B[] = "B";
static char __pyx_k_C[] = "C";
static char __pyx_k_H[] = "H";
static char __pyx_k_I[] = "I";
static char __pyx_k_L[] = "L";
static char __pyx_k_O[] = "O";
static char __pyx_k_Q[] = "Q";
static char __pyx_k_b[] = "b";
static char __pyx_k_c[] = "c";
static char __pyx_k_d[] = "d";
static char __pyx_k_f[] = "f";
static char __pyx_k_g[] = "g";
static char __pyx_k_h[] = "h";
static char __pyx_k_i[] = "i";
static char __pyx_k_l[] = "l";
static char __pyx_k_p[] = "p";
static char __pyx_k_q[] = "q";
static char __pyx_k_t[] = "t";
static char __pyx_k_u[] = "u";
static char __pyx_k_w[] = "w";
static char __pyx_k_y[] = "y";
static char __pyx_k_Zd[] = "Zd";
static char __pyx_k_Zf[] = "Zf";
static char __pyx_k_Zg[] = "Zg";
static char __pyx_k__7[] = "_";
static char __pyx_k_np[] = "np";
static char __pyx_k_end[] = "end";
static char __pyx_k_eta[] = "eta";
static char __pyx_k_sys[] = "sys";
static char __pyx_k_eta0[] = "eta0";
static char __pyx_k_file[] = "file";
static char __pyx_k_loss[] = "loss";
static char __pyx_k_main[] = "__main__";
static char __pyx_k_seed[] = "seed";
static char __pyx_k_sqrt[] = "sqrt";
static char __pyx_k_test[] = "__test__";
static char __pyx_k_time[] = "time";
static char __pyx_k_typw[] = "typw";
static char __pyx_k_xnnz[] = "xnnz";
static char __pyx_k_alpha[] = "alpha";
static char __pyx_k_count[] = "count";
static char __pyx_k_dloss[] = "dloss";
static char __pyx_k_dtype[] = "dtype";
static char __pyx_k_epoch[] = "epoch";
static char __pyx_k_numpy[] = "numpy";
static char __pyx_k_order[] = "order";
static char __pyx_k_print[] = "print";
static char __pyx_k_range[] = "range";
static char __pyx_k_shape[] = "shape";
static char __pyx_k_w_ptr[] = "w_ptr";
static char __pyx_k_zeros[] = "zeros";
static char __pyx_k_import[] = "__import__";
static char __pyx_k_n_iter[] = "n_iter";
static char __pyx_k_ps_ptr[] = "ps_ptr";
static char __pyx_k_update[] = "update";
static char __pyx_k_Epoch_d[] = "-- Epoch %d";
static char __pyx_k_average[] = "average";
static char __pyx_k_dataset[] = "dataset";
static char __pyx_k_epsilon[] = "epsilon";
static char __pyx_k_float64[] = "float64";
static char __pyx_k_nonzero[] = "nonzero";
static char __pyx_k_power_t[] = "power_t";
static char __pyx_k_shuffle[] = "shuffle";
static char __pyx_k_sumloss[] = "sumloss";
static char __pyx_k_t_start[] = "t_start";
static char __pyx_k_verbose[] = "verbose";
static char __pyx_k_weights[] = "weights";
static char __pyx_k_infinity[] = "infinity";
static char __pyx_k_is_hinge[] = "is_hinge";
static char __pyx_k_l1_ratio[] = "l1_ratio";
static char __pyx_k_MAX_DLOSS[] = "MAX_DLOSS";
static char __pyx_k_intercept[] = "intercept";
static char __pyx_k_n_samples[] = "n_samples";
static char __pyx_k_plain_sgd[] = "_plain_sgd";
static char __pyx_k_threshold[] = "threshold";
static char __pyx_k_x_ind_ptr[] = "x_ind_ptr";
static char __pyx_k_ValueError[] = "ValueError";
static char __pyx_k_n_features[] = "n_features";
static char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static char __pyx_k_q_data_ptr[] = "q_data_ptr";
static char __pyx_k_weight_neg[] = "weight_neg";
static char __pyx_k_weight_pos[] = "weight_pos";
static char __pyx_k_x_data_ptr[] = "x_data_ptr";
static char __pyx_k_average_sgd[] = "average_sgd";
static char __pyx_k_plain_sgd_2[] = "plain_sgd";
static char __pyx_k_RuntimeError[] = "RuntimeError";
static char __pyx_k_class_weight[] = "class_weight";
static char __pyx_k_initial_eta0[] = "initial_eta0";
static char __pyx_k_optimal_init[] = "optimal_init";
static char __pyx_k_penalty_type[] = "penalty_type";
static char __pyx_k_fit_intercept[] = "fit_intercept";
static char __pyx_k_learning_rate[] = "learning_rate";
static char __pyx_k_sample_weight[] = "sample_weight";
static char __pyx_k_average_weights[] = "average_weights";
static char __pyx_k_intercept_decay[] = "intercept_decay";
static char __pyx_k_standard_weights[] = "standard_weights";
static char __pyx_k_average_intercept[] = "average_intercept";
static char __pyx_k_standard_intercept[] = "standard_intercept";
static char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
static char __pyx_k_sklearn_linear_model_sgd_fast[] = "sklearn.linear_model.sgd_fast";
static char __pyx_k_Total_training_time_2f_seconds[] = "Total training time: %.2f seconds.";
static char __pyx_k_cal_homes_tdupre_work_src_sciki[] = "/cal/homes/tdupre/work/src/scikit-learn/sklearn/linear_model/sgd_fast.pyx";
static char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
static char __pyx_k_Floating_point_under_overflow_oc[] = "Floating-point under-/overflow occurred at epoch #%d. Scaling input data with StandardScaler or MinMaxScaler might help.";
static char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
static char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
static char __pyx_k_Norm_2f_NNZs_d_Bias_6f_T_d_Avg_l[] = "Norm: %.2f, NNZs: %d, Bias: %.6f, T: %d, Avg. loss: %.6f";
static char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
static char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
static PyObject *__pyx_n_s_C;
static PyObject *__pyx_kp_s_Epoch_d;
static PyObject *__pyx_kp_s_Floating_point_under_overflow_oc;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
static PyObject *__pyx_n_s_MAX_DLOSS;
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
static PyObject *__pyx_kp_s_Norm_2f_NNZs_d_Bias_6f_T_d_Avg_l;
static PyObject *__pyx_n_s_RuntimeError;
static PyObject *__pyx_kp_s_Total_training_time_2f_seconds;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s__7;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_average;
static PyObject *__pyx_n_s_average_intercept;
static PyObject *__pyx_n_s_average_sgd;
static PyObject *__pyx_n_s_average_weights;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_kp_s_cal_homes_tdupre_work_src_sciki;
static PyObject *__pyx_n_s_class_weight;
static PyObject *__pyx_n_s_count;
static PyObject *__pyx_n_s_dataset;
static PyObject *__pyx_n_s_dloss;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_end;
static PyObject *__pyx_n_s_epoch;
static PyObject *__pyx_n_s_epsilon;
static PyObject *__pyx_n_s_eta;
static PyObject *__pyx_n_s_eta0;
static PyObject *__pyx_n_s_file;
static PyObject *__pyx_n_s_fit_intercept;
static PyObject *__pyx_n_s_float64;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_infinity;
static PyObject *__pyx_n_s_initial_eta0;
static PyObject *__pyx_n_s_intercept;
static PyObject *__pyx_n_s_intercept_decay;
static PyObject *__pyx_n_s_is_hinge;
static PyObject *__pyx_n_s_l1_ratio;
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/* "sklearn/linear_model/sgd_fast.pyx":80
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/* "sklearn/linear_model/sgd_fast.pyx":65
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/* "sklearn/linear_model/sgd_fast.pyx":85
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/* "sklearn/linear_model/sgd_fast.pyx":82
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/* "sklearn/linear_model/sgd_fast.pyx":91
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/* "sklearn/linear_model/sgd_fast.pyx":91
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/* "sklearn/linear_model/sgd_fast.pyx":94
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/* "sklearn/linear_model/sgd_fast.pyx":94
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/* "sklearn/linear_model/sgd_fast.pyx":101
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/* "sklearn/linear_model/sgd_fast.pyx":101
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/* "sklearn/linear_model/sgd_fast.pyx":104
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/* "sklearn/linear_model/sgd_fast.pyx":104
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/* "sklearn/linear_model/sgd_fast.pyx":116
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/* "sklearn/linear_model/sgd_fast.pyx":117
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/* "sklearn/linear_model/sgd_fast.pyx":116
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/* "../../../.conda/envs/py27/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":264
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/* "sklearn/linear_model/sgd_fast.pyx":424
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/* "sklearn/linear_model/sgd_fast.pyx":529
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/*--- Global init code ---*/
/*--- Variable export code ---*/
/*--- Function export code ---*/
/*--- Type init code ---*/
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__pyx_vtable_7sklearn_12linear_model_8sgd_fast_LossFunction._dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__pyx_f_7sklearn_12linear_model_8sgd_fast_12LossFunction__dloss;
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if (PyObject_SetAttrString(__pyx_m, "LossFunction", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_LossFunction) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 45; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction = &__pyx_type_7sklearn_12linear_model_8sgd_fast_LossFunction;
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__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Regression.__pyx_base._dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__pyx_f_7sklearn_12linear_model_8sgd_fast_10Regression__dloss;
__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction;
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression.tp_print = 0;
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if (PyObject_SetAttrString(__pyx_m, "Regression", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __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;
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__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classification.__pyx_base._dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__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 = 98; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (PyObject_SetAttrString(__pyx_m, "Classification", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 98; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification = &__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification;
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__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))__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 = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss.tp_print = 0;
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 = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "SquaredLoss", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __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_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))__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))__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 = 108; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber.tp_print = 0;
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 = 108; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "ModifiedHuber", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 108; __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))__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))__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 = 138; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge.tp_print = 0;
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 = 138; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "Hinge", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 138; __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_SquaredHinge = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredHinge;
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredHinge.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunction;
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredHinge.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_loss;
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredHinge.__pyx_base._dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge__dloss;
__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction;
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge.tp_print = 0;
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredHinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "SquaredHinge", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredHinge = &__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge;
__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))__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))__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 = 239; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber.tp_print = 0;
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 = 239; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "Huber", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 239; __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))__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))__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 = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive.tp_print = 0;
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 = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "EpsilonInsensitive", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive = &__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive;
__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive = &__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive;
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive.__pyx_base = *__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression;
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive.__pyx_base.__pyx_base.loss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_loss;
__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive.__pyx_base.__pyx_base._dloss = (double (*)(struct __pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction *, double, double))__pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive__dloss;
__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive.tp_base = __pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression;
if (PyType_Ready(&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive.tp_print = 0;
if (__Pyx_SetVtable(__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive.tp_dict, __pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (PyObject_SetAttrString(__pyx_m, "SquaredEpsilonInsensitive", (PyObject *)&__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 302; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive = &__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive;
/*--- Type import code ---*/
__pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "type",
#if CYTHON_COMPILING_IN_PYPY
sizeof(PyTypeObject),
#else
sizeof(PyHeapTypeObject),
#endif
0); if (unlikely(!__pyx_ptype_7cpython_4type_type)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 155; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 168; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 172; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 864; __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[3]; __pyx_lineno = 10; __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[3]; __pyx_lineno = 10; __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[4]; __pyx_lineno = 8; __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[4]; __pyx_lineno = 8; __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[4]; __pyx_lineno = 28; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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__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[4]; __pyx_lineno = 40; __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[4]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/*--- Variable import code ---*/
/*--- Function import code ---*/
/*--- Execution code ---*/
/* "sklearn/linear_model/sgd_fast.pyx":13
*
*
* import numpy as np # <<<<<<<<<<<<<<
* import sys
* from time import time
*/
__pyx_t_1 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 13; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __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;
/* "sklearn/linear_model/sgd_fast.pyx":14
*
* import numpy as np
* import sys # <<<<<<<<<<<<<<
* from time import time
*
*/
__pyx_t_1 = __Pyx_Import(__pyx_n_s_sys, 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 14; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
if (PyDict_SetItem(__pyx_d, __pyx_n_s_sys, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 14; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "sklearn/linear_model/sgd_fast.pyx":15
* import numpy as np
* import sys
* from time import time # <<<<<<<<<<<<<<
*
* cimport cython
*/
__pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 15; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(__pyx_n_s_time);
PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_time);
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__Pyx_GOTREF(__pyx_t_2);
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/* "sklearn/linear_model/sgd_fast.pyx":26
* from sklearn.utils.seq_dataset cimport SequentialDataset
*
* np.import_array() # <<<<<<<<<<<<<<
*
* # Penalty constants
*/
import_array();
/* "sklearn/linear_model/sgd_fast.pyx":331
*
*
* def plain_sgd(np.ndarray[double, ndim=1, mode='c'] weights, # <<<<<<<<<<<<<<
* double intercept,
* LossFunction loss,
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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/sgd_fast.pyx":424
*
*
* def average_sgd(np.ndarray[double, ndim=1, mode='c'] weights, # <<<<<<<<<<<<<<
* double intercept,
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":529
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*
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*/
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/* "sklearn/linear_model/sgd_fast.pyx":1
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PyUnicode_Compare(**name, key);
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PyUnicode_Compare(**argname, key);
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__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
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PyErr_Format(PyExc_TypeError,
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goto bad;
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PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%.200s() got an unexpected keyword argument '%.200s'",
function_name, PyString_AsString(key));
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"%s() got an unexpected keyword argument '%U'",
function_name, key);
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bad:
return -1;
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PyErr_Format(PyExc_TypeError,
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name, type->tp_name, Py_TYPE(obj)->tp_name);
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__Pyx_RaiseArgumentTypeInvalid(name, obj, type);
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PyErr_Format(PyExc_ValueError,
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PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
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__Pyx_BufFmt_RaiseUnexpectedChar(ch);
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#ifdef HAVE_LONG_LONG
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__Pyx_BufFmt_RaiseUnexpectedChar(ch);
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PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
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__Pyx_BufFmt_RaiseExpected(ctx);
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;
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PyErr_SetString(PyExc_ValueError,
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i++;
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if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
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if (!*ts) {
PyErr_SetString(PyExc_ValueError,
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return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
buf->buf = NULL;
buf->obj = NULL;
buf->strides = __Pyx_zeros;
buf->shape = __Pyx_zeros;
buf->suboffsets = __Pyx_minusones;
}
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
if (obj == Py_None || obj == NULL) {
__Pyx_ZeroBuffer(buf);
return 0;
}
buf->buf = NULL;
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
if (buf->ndim != nd) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
nd, buf->ndim);
goto fail;
}
if (!cast) {
__Pyx_BufFmt_Context ctx;
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned)buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
return 0;
fail:;
__Pyx_ZeroBuffer(buf);
return -1;
}
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
if (info->buf == NULL) return;
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
__Pyx_ReleaseBuffer(info);
}
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
PyObject *result;
#if CYTHON_COMPILING_IN_CPYTHON
result = PyDict_GetItem(__pyx_d, name);
if (likely(result)) {
Py_INCREF(result);
} else {
#else
result = PyObject_GetItem(__pyx_d, name);
if (!result) {
PyErr_Clear();
#endif
result = __Pyx_GetBuiltinName(name);
}
return result;
}
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
static CYTHON_INLINE int __Pyx_IterFinish(void) {
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
PyObject* exc_type = tstate->curexc_type;
if (unlikely(exc_type)) {
if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
PyObject *exc_value, *exc_tb;
exc_value = tstate->curexc_value;
exc_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
Py_DECREF(exc_type);
Py_XDECREF(exc_value);
Py_XDECREF(exc_tb);
return 0;
} else {
return -1;
}
}
return 0;
#else
if (unlikely(PyErr_Occurred())) {
if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
PyErr_Clear();
return 0;
} else {
return -1;
}
}
return 0;
#endif
}
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
if (unlikely(retval)) {
Py_DECREF(retval);
__Pyx_RaiseTooManyValuesError(expected);
return -1;
} else {
return __Pyx_IterFinish();
}
return 0;
}
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyThreadState *tstate = PyThreadState_GET();
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_Restore(type, value, tb);
#endif
}
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(type, value, tb);
#endif
}
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(PyObject_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
static void __Pyx_RaiseBufferFallbackError(void) {
PyErr_SetString(PyExc_ValueError,
"Buffer acquisition failed on assignment; and then reacquiring the old buffer failed too!");
}
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#ifdef __Pyx_CyFunction_USED
if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
#else
if (likely(PyCFunction_Check(func))) {
#endif
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject* args = PyTuple_Pack(1, arg);
return (likely(args)) ? __Pyx_PyObject_Call(func, args, NULL) : NULL;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
#ifdef __Pyx_CyFunction_USED
if (likely(PyCFunction_Check(func) || PyObject_TypeCheck(func, __pyx_CyFunctionType))) {
#else
if (likely(PyCFunction_Check(func))) {
#endif
if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
return __Pyx_PyObject_CallMethO(func, NULL);
}
}
return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
}
#endif
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o);
if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
int is_list, int wraparound, int boundscheck) {
#if CYTHON_COMPILING_IN_CPYTHON
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (PyErr_ExceptionMatches(PyExc_OverflowError))
PyErr_Clear();
else
return NULL;
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
if (PyObject_IsSubclass(instance_class, type)) {
type = instance_class;
} else {
instance_class = NULL;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
#if PY_VERSION_HEX >= 0x03030000
if (cause) {
#else
if (cause && cause != Py_None) {
#endif
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(tmp_type, tmp_value, tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = PyThreadState_GET();
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
static void* __Pyx_GetVtable(PyObject *dict) {
void* ptr;
PyObject *ob = PyObject_GetItem(dict, __pyx_n_s_pyx_vtable);
if (!ob)
goto bad;
#if PY_VERSION_HEX >= 0x02070000
ptr = PyCapsule_GetPointer(ob, 0);
#else
ptr = PyCObject_AsVoidPtr(ob);
#endif
if (!ptr && !PyErr_Occurred())
PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type");
Py_DECREF(ob);
return ptr;
bad:
Py_XDECREF(ob);
return NULL;
}
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = (start + end) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
py_code = __pyx_find_code_object(c_line ? c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? c_line : py_line, py_code);
}
py_frame = PyFrame_New(
PyThreadState_GET(), /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
py_frame->f_lineno = py_line;
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; }
Py_DECREF(obj);
view->obj = NULL;
}
#endif
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_VERSION_HEX < 0x03030000
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
#if PY_VERSION_HEX < 0x03030000
PyObject *py_level = PyInt_FromLong(1);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
#endif
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_VERSION_HEX < 0x03030000
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_VERSION_HEX < 0x03030000
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value) \
{ \
func_type value = func_value; \
if (sizeof(target_type) < sizeof(func_type)) { \
if (unlikely(value != (func_type) (target_type) value)) { \
func_type zero = 0; \
if (is_unsigned && unlikely(value < zero)) \
goto raise_neg_overflow; \
else \
goto raise_overflow; \
} \
} \
return (target_type) value; \
}
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#endif
#endif
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, PyLong_AsUnsignedLong(x))
} else if (sizeof(int) <= sizeof(unsigned long long)) {
__PYX_VERIFY_RETURN_INT(int, unsigned long long, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +(((PyLongObject*)x)->ob_digit[0]));
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyLong_AsLong(x))
} else if (sizeof(int) <= sizeof(long long)) {
__PYX_VERIFY_RETURN_INT(int, long long, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_Int(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *x) {
const npy_uint32 neg_one = (npy_uint32) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(npy_uint32) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(npy_uint32, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (npy_uint32) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(npy_uint32, digit, ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
if (sizeof(npy_uint32) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, PyLong_AsUnsignedLong(x))
} else if (sizeof(npy_uint32) <= sizeof(unsigned long long)) {
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long long, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(npy_uint32, digit, +(((PyLongObject*)x)->ob_digit[0]));
case -1: __PYX_VERIFY_RETURN_INT(npy_uint32, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (sizeof(npy_uint32) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT(npy_uint32, long, PyLong_AsLong(x))
} else if (sizeof(npy_uint32) <= sizeof(long long)) {
__PYX_VERIFY_RETURN_INT(npy_uint32, long long, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
npy_uint32 val;
PyObject *v = __Pyx_PyNumber_Int(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (npy_uint32) -1;
}
} else {
npy_uint32 val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (npy_uint32) -1;
val = __Pyx_PyInt_As_npy_uint32(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to npy_uint32");
return (npy_uint32) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to npy_uint32");
return (npy_uint32) -1;
}
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(int) <= sizeof(unsigned long long)) {
return PyLong_FromUnsignedLongLong((unsigned long long) value);
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(long long)) {
return PyLong_FromLongLong((long long) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_npy_uint32(npy_uint32 value) {
const npy_uint32 neg_one = (npy_uint32) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(npy_uint32) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(npy_uint32) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(npy_uint32) <= sizeof(unsigned long long)) {
return PyLong_FromUnsignedLongLong((unsigned long long) value);
}
} else {
if (sizeof(npy_uint32) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(npy_uint32) <= sizeof(long long)) {
return PyLong_FromLongLong((long long) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(npy_uint32),
little, !is_unsigned);
}
}
static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) {
const unsigned int neg_one = (unsigned int) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(unsigned int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(unsigned int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (unsigned int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
if (sizeof(unsigned int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, PyLong_AsUnsignedLong(x))
} else if (sizeof(unsigned int) <= sizeof(unsigned long long)) {
__PYX_VERIFY_RETURN_INT(unsigned int, unsigned long long, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, +(((PyLongObject*)x)->ob_digit[0]));
case -1: __PYX_VERIFY_RETURN_INT(unsigned int, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (sizeof(unsigned int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT(unsigned int, long, PyLong_AsLong(x))
} else if (sizeof(unsigned int) <= sizeof(long long)) {
__PYX_VERIFY_RETURN_INT(unsigned int, long long, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
unsigned int val;
PyObject *v = __Pyx_PyNumber_Int(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (unsigned int) -1;
}
} else {
unsigned int val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (unsigned int) -1;
val = __Pyx_PyInt_As_unsigned_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to unsigned int");
return (unsigned int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned int");
return (unsigned int) -1;
}
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(long) <= sizeof(unsigned long long)) {
return PyLong_FromUnsignedLongLong((unsigned long long) value);
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(long long)) {
return PyLong_FromLongLong((long long) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
#if !CYTHON_COMPILING_IN_PYPY && 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) {
int i;
if (!f) {
if (!(f = __Pyx_GetStdout()))
return -1;
}
Py_INCREF(f);
for (i=0; i < PyTuple_GET_SIZE(arg_tuple); i++) {
PyObject* v;
if (PyFile_SoftSpace(f, 1)) {
if (PyFile_WriteString(" ", f) < 0)
goto error;
}
v = PyTuple_GET_ITEM(arg_tuple, i);
if (PyFile_WriteObject(v, f, Py_PRINT_RAW) < 0)
goto error;
if (PyString_Check(v)) {
char *s = PyString_AsString(v);
Py_ssize_t len = PyString_Size(v);
if (len > 0) {
switch (s[len-1]) {
case ' ': break;
case '\f': case '\r': case '\n': case '\t': case '\v':
PyFile_SoftSpace(f, 0);
break;
default: break;
}
}
}
}
if (newline) {
if (PyFile_WriteString("\n", f) < 0)
goto error;
PyFile_SoftSpace(f, 0);
}
Py_DECREF(f);
return 0;
error:
Py_DECREF(f);
return -1;
}
#else
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 = PyObject_GetAttr(__pyx_b, __pyx_n_s_print);
if (!__pyx_print)
return -1;
}
if (stream) {
kwargs = PyDict_New();
if (unlikely(!kwargs))
return -1;
if (unlikely(PyDict_SetItem(kwargs, __pyx_n_s_file, stream) < 0))
goto bad;
if (!newline) {
end_string = PyUnicode_FromStringAndSize(" ", 1);
if (unlikely(!end_string))
goto bad;
if (PyDict_SetItem(kwargs, __pyx_n_s_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_SetItem(__pyx_print_kwargs, __pyx_n_s_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 !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
static int __Pyx_PrintOne(PyObject* f, PyObject *o) {
if (!f) {
if (!(f = __Pyx_GetStdout()))
return -1;
}
Py_INCREF(f);
if (PyFile_SoftSpace(f, 0)) {
if (PyFile_WriteString(" ", f) < 0)
goto error;
}
if (PyFile_WriteObject(o, f, Py_PRINT_RAW) < 0)
goto error;
if (PyFile_WriteString("\n", f) < 0)
goto error;
Py_DECREF(f);
return 0;
error:
Py_DECREF(f);
return -1;
/* the line below is just to avoid C compiler
* warnings about unused functions */
return __Pyx_Print(f, NULL, 0);
}
#else
static int __Pyx_PrintOne(PyObject* stream, PyObject *o) {
int res;
PyObject* arg_tuple = PyTuple_Pack(1, o);
if (unlikely(!arg_tuple))
return -1;
res = __Pyx_Print(stream, arg_tuple, 1);
Py_DECREF(arg_tuple);
return res;
}
#endif
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_int(unsigned int value) {
const unsigned int neg_one = (unsigned int) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(unsigned int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(unsigned int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
} else if (sizeof(unsigned int) <= sizeof(unsigned long long)) {
return PyLong_FromUnsignedLongLong((unsigned long long) value);
}
} else {
if (sizeof(unsigned int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(unsigned int) <= sizeof(long long)) {
return PyLong_FromLongLong((long long) value);
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(unsigned int),
little, !is_unsigned);
}
}
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return ::std::complex< float >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return x + y*(__pyx_t_float_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
__pyx_t_float_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrtf(z.real*z.real + z.imag*z.imag);
#else
return hypotf(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
float denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(a, a);
case 3:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, a);
case 4:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_absf(a);
theta = atan2f(a.imag, a.real);
}
lnr = logf(r);
z_r = expf(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cosf(z_theta);
z.imag = z_r * sinf(z_theta);
return z;
}
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return ::std::complex< double >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return x + y*(__pyx_t_double_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
__pyx_t_double_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrt(z.real*z.real + z.imag*z.imag);
#else
return hypot(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
double denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(a, a);
case 3:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, a);
case 4:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_abs(a);
theta = atan2(a.imag, a.real);
}
lnr = log(r);
z_r = exp(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cos(z_theta);
z.imag = z_r * sin(z_theta);
return z;
}
#endif
#endif
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) -1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, PyLong_AsUnsignedLong(x))
} else if (sizeof(long) <= sizeof(unsigned long long)) {
__PYX_VERIFY_RETURN_INT(long, unsigned long long, PyLong_AsUnsignedLongLong(x))
}
} else {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(x)) {
case 0: return 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +(((PyLongObject*)x)->ob_digit[0]));
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, -(sdigit) ((PyLongObject*)x)->ob_digit[0]);
}
#endif
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyLong_AsLong(x))
} else if (sizeof(long) <= sizeof(long long)) {
__PYX_VERIFY_RETURN_INT(long, long long, PyLong_AsLongLong(x))
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_Int(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
#ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
PyObject *py_name = 0;
PyObject *py_module = 0;
py_name = __Pyx_PyIdentifier_FromString(name);
if (!py_name)
goto bad;
py_module = PyImport_Import(py_name);
Py_DECREF(py_name);
return py_module;
bad:
Py_XDECREF(py_name);
return 0;
}
#endif
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
size_t size, int strict)
{
PyObject *py_module = 0;
PyObject *result = 0;
PyObject *py_name = 0;
char warning[200];
Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
PyObject *py_basicsize;
#endif
py_module = __Pyx_ImportModule(module_name);
if (!py_module)
goto bad;
py_name = __Pyx_PyIdentifier_FromString(class_name);
if (!py_name)
goto bad;
result = PyObject_GetAttr(py_module, py_name);
Py_DECREF(py_name);
py_name = 0;
Py_DECREF(py_module);
py_module = 0;
if (!result)
goto bad;
if (!PyType_Check(result)) {
PyErr_Format(PyExc_TypeError,
"%.200s.%.200s is not a type object",
module_name, class_name);
goto bad;
}
#ifndef Py_LIMITED_API
basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
if (!py_basicsize)
goto bad;
basicsize = PyLong_AsSsize_t(py_basicsize);
Py_DECREF(py_basicsize);
py_basicsize = 0;
if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
goto bad;
#endif
if (!strict && (size_t)basicsize > size) {
PyOS_snprintf(warning, sizeof(warning),
"%s.%s size changed, may indicate binary incompatibility",
module_name, class_name);
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
}
else if ((size_t)basicsize != size) {
PyErr_Format(PyExc_ValueError,
"%.200s.%.200s has the wrong size, try recompiling",
module_name, class_name);
goto bad;
}
return (PyTypeObject *)result;
bad:
Py_XDECREF(py_module);
Py_XDECREF(result);
return NULL;
}
#endif
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
#if PY_VERSION_HEX < 0x03030000
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
#else
if (__Pyx_PyUnicode_READY(o) == -1) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (PyUnicode_IS_ASCII(o)) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
#endif
} else
#endif
#if !CYTHON_COMPILING_IN_PYPY
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) {
PyNumberMethods *m;
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (PyInt_Check(x) || PyLong_Check(x))
#else
if (PyLong_Check(x))
#endif
return Py_INCREF(x), x;
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = PyNumber_Int(x);
}
else if (m && m->nb_long) {
name = "long";
res = PyNumber_Long(x);
}
#else
if (m && m->nb_int) {
name = "int";
res = PyNumber_Long(x);
}
#endif
if (res) {
#if PY_MAJOR_VERSION < 3
if (!PyInt_Check(res) && !PyLong_Check(res)) {
#else
if (!PyLong_Check(res)) {
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
name, name, Py_TYPE(res)->tp_name);
Py_DECREF(res);
return NULL;
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b)))
return PyInt_AS_LONG(b);
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3
#if CYTHON_USE_PYLONG_INTERNALS
switch (Py_SIZE(b)) {
case -1: return -(sdigit)((PyLongObject*)b)->ob_digit[0];
case 0: return 0;
case 1: return ((PyLongObject*)b)->ob_digit[0];
}
#endif
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
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