baohan
/
scikit-learn
mirror of https://github.com/scikit-learn/scikit-learn.git
0
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
scikit-learn/sklearn/linear_model/cd_fast.c

12606 lines
582 KiB
C
Raw Blame History

/* Generated by Cython 0.17.4 on Mon Jan 7 18:31:50 2013 */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02040000
#error Cython requires Python 2.4+.
#else
#include <stddef.h> /* For offsetof */
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
#ifndef __stdcall
#define __stdcall
#endif
#ifndef __cdecl
#define __cdecl
#endif
#ifndef __fastcall
#define __fastcall
#endif
#endif
#ifndef DL_IMPORT
#define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
#define DL_EXPORT(t) t
#endif
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
#define CYTHON_COMPILING_IN_PYPY 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#else
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#endif
#if PY_VERSION_HEX < 0x02050000
typedef int Py_ssize_t;
#define PY_SSIZE_T_MAX INT_MAX
#define PY_SSIZE_T_MIN INT_MIN
#define PY_FORMAT_SIZE_T ""
#define CYTHON_FORMAT_SSIZE_T ""
#define PyInt_FromSsize_t(z) PyInt_FromLong(z)
#define PyInt_AsSsize_t(o) __Pyx_PyInt_AsInt(o)
#define PyNumber_Index(o) ((PyNumber_Check(o) && !PyFloat_Check(o)) ? PyNumber_Int(o) : \
(PyErr_Format(PyExc_TypeError, \
"expected index value, got %.200s", Py_TYPE(o)->tp_name), \
(PyObject*)0))
#define __Pyx_PyIndex_Check(o) (PyNumber_Check(o) && !PyFloat_Check(o) && \
!PyComplex_Check(o))
#define PyIndex_Check __Pyx_PyIndex_Check
#define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message)
#define __PYX_BUILD_PY_SSIZE_T "i"
#else
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#define __Pyx_PyIndex_Check PyIndex_Check
#endif
#if PY_VERSION_HEX < 0x02060000
#define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt)
#define Py_TYPE(ob) (((PyObject*)(ob))->ob_type)
#define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size)
#define PyVarObject_HEAD_INIT(type, size) \
PyObject_HEAD_INIT(type) size,
#define PyType_Modified(t)
typedef struct {
void *buf;
PyObject *obj;
Py_ssize_t len;
Py_ssize_t itemsize;
int readonly;
int ndim;
char *format;
Py_ssize_t *shape;
Py_ssize_t *strides;
Py_ssize_t *suboffsets;
void *internal;
} Py_buffer;
#define PyBUF_SIMPLE 0
#define PyBUF_WRITABLE 0x0001
#define PyBUF_FORMAT 0x0004
#define PyBUF_ND 0x0008
#define PyBUF_STRIDES (0x0010 | PyBUF_ND)
#define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES)
#define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES)
#define PyBUF_ANY_CONTIGUOUS (0x0080 | PyBUF_STRIDES)
#define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES)
#define PyBUF_RECORDS (PyBUF_STRIDES | PyBUF_FORMAT | PyBUF_WRITABLE)
#define PyBUF_FULL (PyBUF_INDIRECT | PyBUF_FORMAT | PyBUF_WRITABLE)
typedef int (*getbufferproc)(PyObject *, Py_buffer *, int);
typedef void (*releasebufferproc)(PyObject *, Py_buffer *);
#endif
#if PY_MAJOR_VERSION < 3
#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \
PyCode_New(a, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#else
#define __Pyx_BUILTIN_MODULE_NAME "builtins"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \
PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#endif
#if PY_MAJOR_VERSION < 3 && PY_MINOR_VERSION < 6
#define PyUnicode_FromString(s) PyUnicode_Decode(s, strlen(s), "UTF-8", "strict")
#endif
#if PY_MAJOR_VERSION >= 3
#define Py_TPFLAGS_CHECKTYPES 0
#define Py_TPFLAGS_HAVE_INDEX 0
#endif
#if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3)
#define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
#define CYTHON_PEP393_ENABLED 1
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ? \
0 : _PyUnicode_Ready((PyObject *)(op)))
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
#else
#define CYTHON_PEP393_ENABLED 0
#define __Pyx_PyUnicode_READY(op) (0)
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
#define __Pyx_PyUnicode_READ(k, d, i) ((k=k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#endif
#if PY_VERSION_HEX < 0x02060000
#define PyBytesObject PyStringObject
#define PyBytes_Type PyString_Type
#define PyBytes_Check PyString_Check
#define PyBytes_CheckExact PyString_CheckExact
#define PyBytes_FromString PyString_FromString
#define PyBytes_FromStringAndSize PyString_FromStringAndSize
#define PyBytes_FromFormat PyString_FromFormat
#define PyBytes_DecodeEscape PyString_DecodeEscape
#define PyBytes_AsString PyString_AsString
#define PyBytes_AsStringAndSize PyString_AsStringAndSize
#define PyBytes_Size PyString_Size
#define PyBytes_AS_STRING PyString_AS_STRING
#define PyBytes_GET_SIZE PyString_GET_SIZE
#define PyBytes_Repr PyString_Repr
#define PyBytes_Concat PyString_Concat
#define PyBytes_ConcatAndDel PyString_ConcatAndDel
#endif
#if PY_VERSION_HEX < 0x02060000
#define PySet_Check(obj) PyObject_TypeCheck(obj, &PySet_Type)
#define PyFrozenSet_Check(obj) PyObject_TypeCheck(obj, &PyFrozenSet_Type)
#endif
#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_VERSION_HEX < 0x03020000
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
#endif
#if (PY_MAJOR_VERSION < 3) || (PY_VERSION_HEX >= 0x03010300)
#define __Pyx_PySequence_GetSlice(obj, a, b) PySequence_GetSlice(obj, a, b)
#define __Pyx_PySequence_SetSlice(obj, a, b, value) PySequence_SetSlice(obj, a, b, value)
#define __Pyx_PySequence_DelSlice(obj, a, b) PySequence_DelSlice(obj, a, b)
#else
#define __Pyx_PySequence_GetSlice(obj, a, b) (unlikely(!(obj)) ? \
(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), (PyObject*)0) : \
(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \
(PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", (obj)->ob_type->tp_name), (PyObject*)0)))
#define __Pyx_PySequence_SetSlice(obj, a, b, value) (unlikely(!(obj)) ? \
(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \
(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_SetSlice(obj, a, b, value)) : \
(PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice assignment", (obj)->ob_type->tp_name), -1)))
#define __Pyx_PySequence_DelSlice(obj, a, b) (unlikely(!(obj)) ? \
(PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \
(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_DelSlice(obj, a, b)) : \
(PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice deletion", (obj)->ob_type->tp_name), -1)))
#endif
#if PY_MAJOR_VERSION >= 3
#define PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func))
#endif
#if PY_VERSION_HEX < 0x02050000
#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),((char *)(n)))
#define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),((char *)(n)),(a))
#define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),((char *)(n)))
#else
#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n))
#define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),(n),(a))
#define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),(n))
#endif
#if PY_VERSION_HEX < 0x02050000
#define __Pyx_NAMESTR(n) ((char *)(n))
#define __Pyx_DOCSTR(n) ((char *)(n))
#else
#define __Pyx_NAMESTR(n) (n)
#define __Pyx_DOCSTR(n) (n)
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
#else
#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
#endif
#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#define __PYX_HAVE__sklearn__linear_model__cd_fast
#define __PYX_HAVE_API__sklearn__linear_model__cd_fast
#include "math.h"
#include "stdio.h"
#include "stdlib.h"
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include "pythread.h"
#include "cblas.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#ifdef PYREX_WITHOUT_ASSERTIONS
#define CYTHON_WITHOUT_ASSERTIONS
#endif
/* inline attribute */
#ifndef CYTHON_INLINE
#if defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
/* unused attribute */
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
#endif
typedef struct {PyObject **p; char *s; const long n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/
/* Type Conversion Predeclarations */
#define __Pyx_PyBytes_FromUString(s) PyBytes_FromString((char*)s)
#define __Pyx_PyBytes_AsUString(s) ((unsigned char*) PyBytes_AsString(s))
#define __Pyx_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None)
#define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False))
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x);
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*);
#if CYTHON_COMPILING_IN_CPYTHON
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#ifdef __GNUC__
/* Test for GCC > 2.95 */
#if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* __GNUC__ > 2 ... */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ > 2 ... */
#else /* __GNUC__ */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static PyObject *__pyx_m;
static PyObject *__pyx_b;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
#if !defined(CYTHON_CCOMPLEX)
#if defined(__cplusplus)
#define CYTHON_CCOMPLEX 1
#elif defined(_Complex_I)
#define CYTHON_CCOMPLEX 1
#else
#define CYTHON_CCOMPLEX 0
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#include <complex>
#else
#include <complex.h>
#endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
#undef _Complex_I
#define _Complex_I 1.0fj
#endif
static const char *__pyx_f[] = {
"cd_fast.pyx",
"numpy.pxd",
"type.pxd",
"bool.pxd",
"complex.pxd",
};
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name; /* for error messages only */
struct __Pyx_StructField_* fields;
size_t size; /* sizeof(type) */
size_t arraysize[8]; /* length of array in each dimension */
int ndim;
char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject, c_H_ar */
char is_unsigned;
int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
__Pyx_TypeInfo* type;
const char* name;
size_t offset;
} __Pyx_StructField;
typedef struct {
__Pyx_StructField* field;
size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
__Pyx_StructField root;
__Pyx_BufFmt_StackElem* head;
size_t fmt_offset;
size_t new_count, enc_count;
size_t struct_alignment;
int is_complex;
char enc_type;
char new_packmode;
char enc_packmode;
char is_valid_array;
} __Pyx_BufFmt_Context;
/* "numpy.pxd":723
* # 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;
/* "numpy.pxd":724
*
* 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;
/* "numpy.pxd":725
* 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;
/* "numpy.pxd":726
* 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;
/* "numpy.pxd":730
* #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;
/* "numpy.pxd":731
*
* 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;
/* "numpy.pxd":732
* 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;
/* "numpy.pxd":733
* ctypedef npy_uint16 uint16_t
* ctypedef npy_uint32 uint32_t
* ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<<
* #ctypedef npy_uint96 uint96_t
* #ctypedef npy_uint128 uint128_t
*/
typedef npy_uint64 __pyx_t_5numpy_uint64_t;
/* "numpy.pxd":737
* #ctypedef npy_uint128 uint128_t
*
* ctypedef npy_float32 float32_t # <<<<<<<<<<<<<<
* ctypedef npy_float64 float64_t
* #ctypedef npy_float80 float80_t
*/
typedef npy_float32 __pyx_t_5numpy_float32_t;
/* "numpy.pxd":738
*
* ctypedef npy_float32 float32_t
* ctypedef npy_float64 float64_t # <<<<<<<<<<<<<<
* #ctypedef npy_float80 float80_t
* #ctypedef npy_float128 float128_t
*/
typedef npy_float64 __pyx_t_5numpy_float64_t;
/* "numpy.pxd":747
* # The int types are mapped a bit surprising --
* # numpy.int corresponds to 'l' and numpy.long to 'q'
* ctypedef npy_long int_t # <<<<<<<<<<<<<<
* ctypedef npy_longlong long_t
* ctypedef npy_longlong longlong_t
*/
typedef npy_long __pyx_t_5numpy_int_t;
/* "numpy.pxd":748
* # numpy.int corresponds to 'l' and numpy.long to 'q'
* ctypedef npy_long int_t
* ctypedef npy_longlong long_t # <<<<<<<<<<<<<<
* ctypedef npy_longlong longlong_t
*
*/
typedef npy_longlong __pyx_t_5numpy_long_t;
/* "numpy.pxd":749
* ctypedef npy_long int_t
* ctypedef npy_longlong long_t
* ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<<
*
* ctypedef npy_ulong uint_t
*/
typedef npy_longlong __pyx_t_5numpy_longlong_t;
/* "numpy.pxd":751
* ctypedef npy_longlong longlong_t
*
* ctypedef npy_ulong uint_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulong_t
* ctypedef npy_ulonglong ulonglong_t
*/
typedef npy_ulong __pyx_t_5numpy_uint_t;
/* "numpy.pxd":752
*
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulonglong_t
*
*/
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
/* "numpy.pxd":753
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t
* ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<<
*
* ctypedef npy_intp intp_t
*/
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
/* "numpy.pxd":755
* ctypedef npy_ulonglong ulonglong_t
*
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
* ctypedef npy_uintp uintp_t
*
*/
typedef npy_intp __pyx_t_5numpy_intp_t;
/* "numpy.pxd":756
*
* ctypedef npy_intp intp_t
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
*
* ctypedef npy_double float_t
*/
typedef npy_uintp __pyx_t_5numpy_uintp_t;
/* "numpy.pxd":758
* ctypedef npy_uintp uintp_t
*
* ctypedef npy_double float_t # <<<<<<<<<<<<<<
* ctypedef npy_double double_t
* ctypedef npy_longdouble longdouble_t
*/
typedef npy_double __pyx_t_5numpy_float_t;
/* "numpy.pxd":759
*
* ctypedef npy_double float_t
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
* ctypedef npy_longdouble longdouble_t
*
*/
typedef npy_double __pyx_t_5numpy_double_t;
/* "numpy.pxd":760
* ctypedef npy_double float_t
* ctypedef npy_double double_t
* ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<<
*
* ctypedef npy_cfloat cfloat_t
*/
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
/* "sklearn/linear_model/cd_fast.pyx":60
*
*
* ctypedef np.float64_t DOUBLE # <<<<<<<<<<<<<<
* ctypedef np.int32_t INTEGER
*
*/
typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE;
/* "sklearn/linear_model/cd_fast.pyx":61
*
* ctypedef np.float64_t DOUBLE
* ctypedef np.int32_t INTEGER # <<<<<<<<<<<<<<
*
*
*/
typedef __pyx_t_5numpy_int32_t __pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER;
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
typedef ::std::complex< float > __pyx_t_float_complex;
#else
typedef float _Complex __pyx_t_float_complex;
#endif
#else
typedef struct { float real, imag; } __pyx_t_float_complex;
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
typedef ::std::complex< double > __pyx_t_double_complex;
#else
typedef double _Complex __pyx_t_double_complex;
#endif
#else
typedef struct { double real, imag; } __pyx_t_double_complex;
#endif
/*--- Type declarations ---*/
/* "numpy.pxd":762
* ctypedef npy_longdouble longdouble_t
*
* ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<<
* ctypedef npy_cdouble cdouble_t
* ctypedef npy_clongdouble clongdouble_t
*/
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
/* "numpy.pxd":763
*
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
* ctypedef npy_clongdouble clongdouble_t
*
*/
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
/* "numpy.pxd":764
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t
* ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<<
*
* ctypedef npy_cdouble complex_t
*/
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
/* "numpy.pxd":766
* ctypedef npy_clongdouble clongdouble_t
*
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew1(a):
*/
typedef npy_cdouble __pyx_t_5numpy_complex_t;
#ifndef CYTHON_REFNANNY
#define CYTHON_REFNANNY 0
#endif
#if CYTHON_REFNANNY
typedef struct {
void (*INCREF)(void*, PyObject*, int);
void (*DECREF)(void*, PyObject*, int);
void (*GOTREF)(void*, PyObject*, int);
void (*GIVEREF)(void*, PyObject*, int);
void* (*SetupContext)(const char*, int, const char*);
void (*FinishContext)(void**);
} __Pyx_RefNannyAPIStruct;
static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); /*proto*/
#define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
#ifdef WITH_THREAD
#define __Pyx_RefNannySetupContext(name, acquire_gil) \
if (acquire_gil) { \
PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); \
__pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \
PyGILState_Release(__pyx_gilstate_save); \
} else { \
__pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \
}
#else
#define __Pyx_RefNannySetupContext(name, acquire_gil) \
__pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
#endif
#define __Pyx_RefNannyFinishContext() \
__Pyx_RefNanny->FinishContext(&__pyx_refnanny)
#define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
#define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
#define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
#define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
#define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
#else
#define __Pyx_RefNannyDeclarations
#define __Pyx_RefNannySetupContext(name, acquire_gil)
#define __Pyx_RefNannyFinishContext()
#define __Pyx_INCREF(r) Py_INCREF(r)
#define __Pyx_DECREF(r) Py_DECREF(r)
#define __Pyx_GOTREF(r)
#define __Pyx_GIVEREF(r)
#define __Pyx_XINCREF(r) Py_XINCREF(r)
#define __Pyx_XDECREF(r) Py_XDECREF(r)
#define __Pyx_XGOTREF(r)
#define __Pyx_XGIVEREF(r)
#endif /* CYTHON_REFNANNY */
#define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)
static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name); /*proto*/
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); /*proto*/
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); /*proto*/
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \
PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \
const char* function_name); /*proto*/
static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
const char *name, int exact); /*proto*/
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj,
__Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack);
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/
static void __Pyx_RaiseBufferFallbackError(void); /*proto*/
#define __Pyx_BufPtrStrided1d(type, buf, i0, s0) (type)((char*)buf + i0 * s0)
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/
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;
}
#define __Pyx_GetItemInt_List(o, i, size, to_py_func) (((size) <= sizeof(Py_ssize_t)) ? \
__Pyx_GetItemInt_List_Fast(o, i) : \
__Pyx_GetItemInt_Generic(o, to_py_func(i)))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i) {
#if CYTHON_COMPILING_IN_CPYTHON
if (likely((0 <= i) & (i < PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, i);
Py_INCREF(r);
return r;
}
else if ((-PyList_GET_SIZE(o) <= i) & (i < 0)) {
PyObject *r = PyList_GET_ITEM(o, PyList_GET_SIZE(o) + i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
#define __Pyx_GetItemInt_Tuple(o, i, size, to_py_func) (((size) <= sizeof(Py_ssize_t)) ? \
__Pyx_GetItemInt_Tuple_Fast(o, i) : \
__Pyx_GetItemInt_Generic(o, to_py_func(i)))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i) {
#if CYTHON_COMPILING_IN_CPYTHON
if (likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, i);
Py_INCREF(r);
return r;
}
else if ((-PyTuple_GET_SIZE(o) <= i) & (i < 0)) {
PyObject *r = PyTuple_GET_ITEM(o, PyTuple_GET_SIZE(o) + i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
#define __Pyx_GetItemInt(o, i, size, to_py_func) (((size) <= sizeof(Py_ssize_t)) ? \
__Pyx_GetItemInt_Fast(o, i) : \
__Pyx_GetItemInt_Generic(o, to_py_func(i)))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i) {
#if CYTHON_COMPILING_IN_CPYTHON
if (PyList_CheckExact(o)) {
Py_ssize_t n = (likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if (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 = (likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if (likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else { /* inlined PySequence_GetItem() */
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (unlikely(l < 0)) return NULL;
i += l;
}
return m->sq_item(o, i);
}
}
#else
if (PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
#define __Pyx_SetItemInt(o, i, v, size, to_py_func) (((size) <= sizeof(Py_ssize_t)) ? \
__Pyx_SetItemInt_Fast(o, i, v) : \
__Pyx_SetItemInt_Generic(o, to_py_func(i), v))
static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) {
int r;
if (!j) return -1;
r = PyObject_SetItem(o, j, v);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v) {
#if CYTHON_COMPILING_IN_CPYTHON
if (PyList_CheckExact(o)) {
Py_ssize_t n = (likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if (likely((n >= 0) & (n < PyList_GET_SIZE(o)))) {
PyObject* old = PyList_GET_ITEM(o, n);
Py_INCREF(v);
PyList_SET_ITEM(o, n, v);
Py_DECREF(old);
return 1;
}
} else { /* inlined PySequence_SetItem() */
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_ass_item)) {
if (unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (unlikely(l < 0)) return -1;
i += l;
}
return m->sq_ass_item(o, i, v);
}
}
#else
#if CYTHON_COMPILING_IN_PYPY
if (PySequence_Check(o) && !PyDict_Check(o)) {
#else
if (PySequence_Check(o)) {
#endif
return PySequence_SetItem(o, i, v);
}
#endif
return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v);
}
#define __Pyx_BufPtrStrided2d(type, buf, i0, s0, i1, s1) (type)((char*)buf + i0 * s0 + i1 * s1)
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
static CYTHON_INLINE int __Pyx_IterFinish(void); /*proto*/
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /*proto*/
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0};
static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1};
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level); /*proto*/
static CYTHON_INLINE PyObject *__Pyx_PyInt_to_py_npy_int32(npy_int32);
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#define __Pyx_CREAL(z) ((z).real())
#define __Pyx_CIMAG(z) ((z).imag())
#else
#define __Pyx_CREAL(z) (__real__(z))
#define __Pyx_CIMAG(z) (__imag__(z))
#endif
#else
#define __Pyx_CREAL(z) ((z).real)
#define __Pyx_CIMAG(z) ((z).imag)
#endif
#if defined(_WIN32) && defined(__cplusplus) && CYTHON_CCOMPLEX
#define __Pyx_SET_CREAL(z,x) ((z).real(x))
#define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
#else
#define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
#define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
#endif
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);
#if CYTHON_CCOMPLEX
#define __Pyx_c_eqf(a, b) ((a)==(b))
#define __Pyx_c_sumf(a, b) ((a)+(b))
#define __Pyx_c_difff(a, b) ((a)-(b))
#define __Pyx_c_prodf(a, b) ((a)*(b))
#define __Pyx_c_quotf(a, b) ((a)/(b))
#define __Pyx_c_negf(a) (-(a))
#ifdef __cplusplus
#define __Pyx_c_is_zerof(z) ((z)==(float)0)
#define __Pyx_c_conjf(z) (::std::conj(z))
#if 1
#define __Pyx_c_absf(z) (::std::abs(z))
#define __Pyx_c_powf(a, b) (::std::pow(a, b))
#endif
#else
#define __Pyx_c_is_zerof(z) ((z)==0)
#define __Pyx_c_conjf(z) (conjf(z))
#if 1
#define __Pyx_c_absf(z) (cabsf(z))
#define __Pyx_c_powf(a, b) (cpowf(a, b))
#endif
#endif
#else
static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex);
static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex);
#if 1
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex);
#endif
#endif
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
#if CYTHON_CCOMPLEX
#define __Pyx_c_eq(a, b) ((a)==(b))
#define __Pyx_c_sum(a, b) ((a)+(b))
#define __Pyx_c_diff(a, b) ((a)-(b))
#define __Pyx_c_prod(a, b) ((a)*(b))
#define __Pyx_c_quot(a, b) ((a)/(b))
#define __Pyx_c_neg(a) (-(a))
#ifdef __cplusplus
#define __Pyx_c_is_zero(z) ((z)==(double)0)
#define __Pyx_c_conj(z) (::std::conj(z))
#if 1
#define __Pyx_c_abs(z) (::std::abs(z))
#define __Pyx_c_pow(a, b) (::std::pow(a, b))
#endif
#else
#define __Pyx_c_is_zero(z) ((z)==0)
#define __Pyx_c_conj(z) (conj(z))
#if 1
#define __Pyx_c_abs(z) (cabs(z))
#define __Pyx_c_pow(a, b) (cpow(a, b))
#endif
#endif
#else
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex);
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex);
#if 1
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex);
#endif
#endif
static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject *);
static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject *);
static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject *);
static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject *);
static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject *);
static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject *);
static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject *);
static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject *);
static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject *);
static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject *);
static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject *);
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject *);
static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject *);
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject *);
static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject *);
static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject *);
static int __Pyx_check_binary_version(void);
#if !defined(__Pyx_PyIdentifier_FromString)
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
#else
#define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s)
#endif
#endif
static PyObject *__Pyx_ImportModule(const char *name); /*proto*/
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /*proto*/
typedef struct {
int code_line;
PyCodeObject* code_object;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename); /*proto*/
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); /*proto*/
/* Module declarations from 'libc.math' */
/* Module declarations from 'cpython.buffer' */
/* Module declarations from 'cpython.ref' */
/* Module declarations from 'libc.stdio' */
/* Module declarations from 'cpython.object' */
/* Module declarations from '__builtin__' */
/* Module declarations from 'cpython.type' */
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
/* Module declarations from 'libc.stdlib' */
/* Module declarations from 'numpy' */
/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
/* Module declarations from 'cython' */
/* Module declarations from 'cpython.version' */
/* Module declarations from 'cpython.exc' */
/* Module declarations from 'cpython.module' */
/* Module declarations from 'cpython.mem' */
/* Module declarations from 'cpython.tuple' */
/* Module declarations from 'cpython.list' */
/* Module declarations from 'cpython.sequence' */
/* Module declarations from 'cpython.mapping' */
/* Module declarations from 'cpython.iterator' */
/* Module declarations from 'cpython.number' */
/* Module declarations from 'cpython.int' */
/* Module declarations from '__builtin__' */
/* Module declarations from 'cpython.bool' */
static PyTypeObject *__pyx_ptype_7cpython_4bool_bool = 0;
/* Module declarations from 'cpython.long' */
/* Module declarations from 'cpython.float' */
/* Module declarations from '__builtin__' */
/* Module declarations from 'cpython.complex' */
static PyTypeObject *__pyx_ptype_7cpython_7complex_complex = 0;
/* Module declarations from 'cpython.string' */
/* Module declarations from 'cpython.unicode' */
/* Module declarations from 'cpython.dict' */
/* Module declarations from 'cpython.instance' */
/* Module declarations from 'cpython.function' */
/* Module declarations from 'cpython.method' */
/* Module declarations from 'cpython.weakref' */
/* Module declarations from 'cpython.getargs' */
/* Module declarations from 'cpython.pythread' */
/* Module declarations from 'cpython.pystate' */
/* Module declarations from 'cpython.cobject' */
/* Module declarations from 'cpython.oldbuffer' */
/* Module declarations from 'cpython.set' */
/* Module declarations from 'cpython.bytes' */
/* Module declarations from 'cpython.pycapsule' */
/* Module declarations from 'cpython' */
/* Module declarations from 'sklearn.linear_model.cd_fast' */
static CYTHON_INLINE double __pyx_f_7sklearn_12linear_model_7cd_fast_fmax(double, double); /*proto*/
static CYTHON_INLINE double __pyx_f_7sklearn_12linear_model_7cd_fast_fsign(double); /*proto*/
static double __pyx_f_7sklearn_12linear_model_7cd_fast_abs_max(int, double *); /*proto*/
static double __pyx_f_7sklearn_12linear_model_7cd_fast_diff_abs_max(int, double *, double *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE = { "DOUBLE", NULL, sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER = { "INTEGER", NULL, sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER), { 0 }, 0, IS_UNSIGNED(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER) ? 'U' : 'I', IS_UNSIGNED(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER), 0 };
#define __Pyx_MODULE_NAME "sklearn.linear_model.cd_fast"
int __pyx_module_is_main_sklearn__linear_model__cd_fast = 0;
/* Implementation of 'sklearn.linear_model.cd_fast' */
static PyObject *__pyx_builtin_xrange;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_sparse_std(CYTHON_UNUSED PyObject *__pyx_self, unsigned int __pyx_v_n_samples, unsigned int __pyx_v_n_features, PyArrayObject *__pyx_v_X_data, CYTHON_UNUSED PyArrayObject *__pyx_v_X_indices, PyArrayObject *__pyx_v_X_indptr, PyArrayObject *__pyx_v_X_mean); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_2enet_coordinate_descent(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_y, int __pyx_v_max_iter, double __pyx_v_tol, PyBoolObject *__pyx_v_positive); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_4sparse_enet_coordinate_descent(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, PyArrayObject *__pyx_v_X_data, PyArrayObject *__pyx_v_X_indices, PyArrayObject *__pyx_v_X_indptr, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_X_mean, int __pyx_v_max_iter, double __pyx_v_tol, int __pyx_v_positive); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_6enet_coordinate_descent_gram(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, PyArrayObject *__pyx_v_Q, PyArrayObject *__pyx_v_q, PyArrayObject *__pyx_v_y, int __pyx_v_max_iter, double __pyx_v_tol, PyBoolObject *__pyx_v_positive); /* proto */
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent_multi_task(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_W, double __pyx_v_l1_reg, double __pyx_v_l2_reg, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_Y, int __pyx_v_max_iter, double __pyx_v_tol); /* proto */
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
static char __pyx_k_2[] = "Coordinate descent with alpha=0 may lead to unexpected results and is discouraged.";
static char __pyx_k_6[] = "Coordinate descent with l1_reg=0 may lead to unexpected results and is discouraged.";
static char __pyx_k_8[] = "ndarray is not C contiguous";
static char __pyx_k_10[] = "ndarray is not Fortran contiguous";
static char __pyx_k_12[] = "Non-native byte order not supported";
static char __pyx_k_14[] = "unknown dtype code in numpy.pxd (%d)";
static char __pyx_k_15[] = "Format string allocated too short, see comment in numpy.pxd";
static char __pyx_k_18[] = "Format string allocated too short.";
static char __pyx_k_20[] = "numpy.linalg";
static char __pyx_k_21[] = "*";
static char __pyx_k_24[] = "/scratch/apps/src/scikit-learn/sklearn/linear_model/cd_fast.pyx";
static char __pyx_k_25[] = "sklearn.linear_model.cd_fast";
static char __pyx_k_28[] = "enet_coordinate_descent";
static char __pyx_k_31[] = "sparse_enet_coordinate_descent";
static char __pyx_k_34[] = "enet_coordinate_descent_gram";
static char __pyx_k_37[] = "enet_coordinate_descent_multi_task";
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__R[] = "R";
static char __pyx_k__T[] = "T";
static char __pyx_k__W[] = "W";
static char __pyx_k__X[] = "X";
static char __pyx_k__Y[] = "Y";
static char __pyx_k__b[] = "b";
static char __pyx_k__d[] = "d";
static char __pyx_k__f[] = "f";
static char __pyx_k__g[] = "g";
static char __pyx_k__h[] = "h";
static char __pyx_k__i[] = "i";
static char __pyx_k__l[] = "l";
static char __pyx_k__q[] = "q";
static char __pyx_k__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__ii[] = "ii";
static char __pyx_k__jj[] = "jj";
static char __pyx_k__nn[] = "nn";
static char __pyx_k__np[] = "np";
static char __pyx_k__XtA[] = "XtA";
static char __pyx_k__any[] = "any";
static char __pyx_k__dot[] = "dot";
static char __pyx_k__gap[] = "gap";
static char __pyx_k__inf[] = "inf";
static char __pyx_k__max[] = "max";
static char __pyx_k__sum[] = "sum";
static char __pyx_k__tmp[] = "tmp";
static char __pyx_k__tol[] = "tol";
static char __pyx_k__axis[] = "axis";
static char __pyx_k__beta[] = "beta";
static char __pyx_k__copy[] = "copy";
static char __pyx_k__diff[] = "diff";
static char __pyx_k__norm[] = "norm";
static char __pyx_k__sqrt[] = "sqrt";
static char __pyx_k__w_ii[] = "w_ii";
static char __pyx_k__warn[] = "warn";
static char __pyx_k__R_sum[] = "R_sum";
static char __pyx_k__X_T_R[] = "X_T_R";
static char __pyx_k__X_std[] = "X_std";
static char __pyx_k__alpha[] = "alpha";
static char __pyx_k__const[] = "const";
static char __pyx_k__dtype[] = "dtype";
static char __pyx_k__float[] = "float";
static char __pyx_k__numpy[] = "numpy";
static char __pyx_k__order[] = "order";
static char __pyx_k__range[] = "range";
static char __pyx_k__w_max[] = "w_max";
static char __pyx_k__zeros[] = "zeros";
static char __pyx_k__A_norm[] = "A_norm";
static char __pyx_k__R_norm[] = "R_norm";
static char __pyx_k__X_data[] = "X_data";
static char __pyx_k__X_mean[] = "X_mean";
static char __pyx_k__center[] = "center";
static char __pyx_k__d_w_ii[] = "d_w_ii";
static char __pyx_k__l1_reg[] = "l1_reg";
static char __pyx_k__l2_reg[] = "l2_reg";
static char __pyx_k__linalg[] = "linalg";
static char __pyx_k__n_iter[] = "n_iter";
static char __pyx_k__nnz_ii[] = "nnz_ii";
static char __pyx_k__w_norm[] = "w_norm";
static char __pyx_k__xrange[] = "xrange";
static char __pyx_k__A_norm2[] = "A_norm2";
static char __pyx_k__R_norm2[] = "R_norm2";
static char __pyx_k__asarray[] = "asarray";
static char __pyx_k__d_w_max[] = "d_w_max";
static char __pyx_k__d_w_tol[] = "d_w_tol";
static char __pyx_k__float64[] = "float64";
static char __pyx_k__n_tasks[] = "n_tasks";
static char __pyx_k__q_dot_w[] = "q_dot_w";
static char __pyx_k__w_norm2[] = "w_norm2";
static char __pyx_k__y_norm2[] = "y_norm2";
static char __pyx_k__X_indptr[] = "X_indptr";
static char __pyx_k__X_std_ii[] = "X_std_ii";
static char __pyx_k__X_sum_ii[] = "X_sum_ii";
static char __pyx_k____main__[] = "__main__";
static char __pyx_k____test__[] = "__test__";
static char __pyx_k__max_iter[] = "max_iter";
static char __pyx_k__positive[] = "positive";
static char __pyx_k__warnings[] = "warnings";
static char __pyx_k__X_indices[] = "X_indices";
static char __pyx_k__X_mean_ii[] = "X_mean_ii";
static char __pyx_k__n_samples[] = "n_samples";
static char __pyx_k__ValueError[] = "ValueError";
static char __pyx_k__n_features[] = "n_features";
static char __pyx_k__sparse_std[] = "sparse_std";
static char __pyx_k__norm_cols_X[] = "norm_cols_X";
static char __pyx_k__RuntimeError[] = "RuntimeError";
static char __pyx_k__W_ii_abs_max[] = "W_ii_abs_max";
static char __pyx_k__dual_norm_XtA[] = "dual_norm_XtA";
static PyObject *__pyx_kp_u_10;
static PyObject *__pyx_kp_u_12;
static PyObject *__pyx_kp_u_14;
static PyObject *__pyx_kp_u_15;
static PyObject *__pyx_kp_u_18;
static PyObject *__pyx_kp_s_2;
static PyObject *__pyx_n_s_20;
static PyObject *__pyx_n_s_21;
static PyObject *__pyx_kp_s_24;
static PyObject *__pyx_n_s_25;
static PyObject *__pyx_n_s_28;
static PyObject *__pyx_n_s_31;
static PyObject *__pyx_n_s_34;
static PyObject *__pyx_n_s_37;
static PyObject *__pyx_kp_s_6;
static PyObject *__pyx_kp_u_8;
static PyObject *__pyx_n_s__A_norm;
static PyObject *__pyx_n_s__A_norm2;
static PyObject *__pyx_n_s__C;
static PyObject *__pyx_n_s__H;
static PyObject *__pyx_n_s__Q;
static PyObject *__pyx_n_s__R;
static PyObject *__pyx_n_s__R_norm;
static PyObject *__pyx_n_s__R_norm2;
static PyObject *__pyx_n_s__R_sum;
static PyObject *__pyx_n_s__RuntimeError;
static PyObject *__pyx_n_s__T;
static PyObject *__pyx_n_s__ValueError;
static PyObject *__pyx_n_s__W;
static PyObject *__pyx_n_s__W_ii_abs_max;
static PyObject *__pyx_n_s__X;
static PyObject *__pyx_n_s__X_T_R;
static PyObject *__pyx_n_s__X_data;
static PyObject *__pyx_n_s__X_indices;
static PyObject *__pyx_n_s__X_indptr;
static PyObject *__pyx_n_s__X_mean;
static PyObject *__pyx_n_s__X_mean_ii;
static PyObject *__pyx_n_s__X_std;
static PyObject *__pyx_n_s__X_std_ii;
static PyObject *__pyx_n_s__X_sum_ii;
static PyObject *__pyx_n_s__XtA;
static PyObject *__pyx_n_s__Y;
static PyObject *__pyx_n_s____main__;
static PyObject *__pyx_n_s____test__;
static PyObject *__pyx_n_s__alpha;
static PyObject *__pyx_n_s__any;
static PyObject *__pyx_n_s__asarray;
static PyObject *__pyx_n_s__axis;
static PyObject *__pyx_n_s__beta;
static PyObject *__pyx_n_s__center;
static PyObject *__pyx_n_s__const;
static PyObject *__pyx_n_s__copy;
static PyObject *__pyx_n_s__d_w_ii;
static PyObject *__pyx_n_s__d_w_max;
static PyObject *__pyx_n_s__d_w_tol;
static PyObject *__pyx_n_s__diff;
static PyObject *__pyx_n_s__dot;
static PyObject *__pyx_n_s__dtype;
static PyObject *__pyx_n_s__dual_norm_XtA;
static PyObject *__pyx_n_s__float;
static PyObject *__pyx_n_s__float64;
static PyObject *__pyx_n_s__gap;
static PyObject *__pyx_n_s__ii;
static PyObject *__pyx_n_s__inf;
static PyObject *__pyx_n_s__jj;
static PyObject *__pyx_n_s__l1_reg;
static PyObject *__pyx_n_s__l2_reg;
static PyObject *__pyx_n_s__linalg;
static PyObject *__pyx_n_s__max;
static PyObject *__pyx_n_s__max_iter;
static PyObject *__pyx_n_s__n_features;
static PyObject *__pyx_n_s__n_iter;
static PyObject *__pyx_n_s__n_samples;
static PyObject *__pyx_n_s__n_tasks;
static PyObject *__pyx_n_s__nn;
static PyObject *__pyx_n_s__nnz_ii;
static PyObject *__pyx_n_s__norm;
static PyObject *__pyx_n_s__norm_cols_X;
static PyObject *__pyx_n_s__np;
static PyObject *__pyx_n_s__numpy;
static PyObject *__pyx_n_s__order;
static PyObject *__pyx_n_s__positive;
static PyObject *__pyx_n_s__q;
static PyObject *__pyx_n_s__q_dot_w;
static PyObject *__pyx_n_s__range;
static PyObject *__pyx_n_s__sparse_std;
static PyObject *__pyx_n_s__sqrt;
static PyObject *__pyx_n_s__sum;
static PyObject *__pyx_n_s__tmp;
static PyObject *__pyx_n_s__tol;
static PyObject *__pyx_n_s__w;
static PyObject *__pyx_n_s__w_ii;
static PyObject *__pyx_n_s__w_max;
static PyObject *__pyx_n_s__w_norm;
static PyObject *__pyx_n_s__w_norm2;
static PyObject *__pyx_n_s__warn;
static PyObject *__pyx_n_s__warnings;
static PyObject *__pyx_n_s__xrange;
static PyObject *__pyx_n_s__y;
static PyObject *__pyx_n_s__y_norm2;
static PyObject *__pyx_n_s__zeros;
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_2;
static PyObject *__pyx_int_15;
static PyBoolObject *__pyx_k_1;
static PyBoolObject *__pyx_k_4;
static PyObject *__pyx_k_tuple_3;
static PyObject *__pyx_k_tuple_5;
static PyObject *__pyx_k_tuple_7;
static PyObject *__pyx_k_tuple_9;
static PyObject *__pyx_k_tuple_11;
static PyObject *__pyx_k_tuple_13;
static PyObject *__pyx_k_tuple_16;
static PyObject *__pyx_k_tuple_17;
static PyObject *__pyx_k_tuple_19;
static PyObject *__pyx_k_tuple_22;
static PyObject *__pyx_k_tuple_26;
static PyObject *__pyx_k_tuple_29;
static PyObject *__pyx_k_tuple_32;
static PyObject *__pyx_k_tuple_35;
static PyObject *__pyx_k_codeobj_23;
static PyObject *__pyx_k_codeobj_27;
static PyObject *__pyx_k_codeobj_30;
static PyObject *__pyx_k_codeobj_33;
static PyObject *__pyx_k_codeobj_36;
/* "sklearn/linear_model/cd_fast.pyx":20
*
*
* cdef inline double fmax(double x, double y): # <<<<<<<<<<<<<<
* if x > y:
* return x
*/
static CYTHON_INLINE double __pyx_f_7sklearn_12linear_model_7cd_fast_fmax(double __pyx_v_x, double __pyx_v_y) {
double __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
__Pyx_RefNannySetupContext("fmax", 0);
/* "sklearn/linear_model/cd_fast.pyx":21
*
* cdef inline double fmax(double x, double y):
* if x > y: # <<<<<<<<<<<<<<
* return x
* return y
*/
__pyx_t_1 = (__pyx_v_x > __pyx_v_y);
if (__pyx_t_1) {
/* "sklearn/linear_model/cd_fast.pyx":22
* cdef inline double fmax(double x, double y):
* if x > y:
* return x # <<<<<<<<<<<<<<
* return y
*
*/
__pyx_r = __pyx_v_x;
goto __pyx_L0;
goto __pyx_L3;
}
__pyx_L3:;
/* "sklearn/linear_model/cd_fast.pyx":23
* if x > y:
* return x
* return y # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_y;
goto __pyx_L0;
__pyx_r = 0;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":26
*
*
* cdef inline double fsign(double f): # <<<<<<<<<<<<<<
* if f == 0:
* return 0
*/
static CYTHON_INLINE double __pyx_f_7sklearn_12linear_model_7cd_fast_fsign(double __pyx_v_f) {
double __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
__Pyx_RefNannySetupContext("fsign", 0);
/* "sklearn/linear_model/cd_fast.pyx":27
*
* cdef inline double fsign(double f):
* if f == 0: # <<<<<<<<<<<<<<
* return 0
* elif f > 0:
*/
__pyx_t_1 = (__pyx_v_f == 0.0);
if (__pyx_t_1) {
/* "sklearn/linear_model/cd_fast.pyx":28
* cdef inline double fsign(double f):
* if f == 0:
* return 0 # <<<<<<<<<<<<<<
* elif f > 0:
* return 1.0
*/
__pyx_r = 0.0;
goto __pyx_L0;
goto __pyx_L3;
}
/* "sklearn/linear_model/cd_fast.pyx":29
* if f == 0:
* return 0
* elif f > 0: # <<<<<<<<<<<<<<
* return 1.0
* else:
*/
__pyx_t_1 = (__pyx_v_f > 0.0);
if (__pyx_t_1) {
/* "sklearn/linear_model/cd_fast.pyx":30
* return 0
* elif f > 0:
* return 1.0 # <<<<<<<<<<<<<<
* else:
* return -1.0
*/
__pyx_r = 1.0;
goto __pyx_L0;
goto __pyx_L3;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":32
* return 1.0
* else:
* return -1.0 # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = -1.0;
goto __pyx_L0;
}
__pyx_L3:;
__pyx_r = 0;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_1sparse_std(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_7sklearn_12linear_model_7cd_fast_1sparse_std = {__Pyx_NAMESTR("sparse_std"), (PyCFunction)__pyx_pw_7sklearn_12linear_model_7cd_fast_1sparse_std, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(0)};
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_1sparse_std(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
unsigned int __pyx_v_n_samples;
unsigned int __pyx_v_n_features;
PyArrayObject *__pyx_v_X_data = 0;
CYTHON_UNUSED PyArrayObject *__pyx_v_X_indices = 0;
PyArrayObject *__pyx_v_X_indptr = 0;
PyArrayObject *__pyx_v_X_mean = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("sparse_std (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__n_samples,&__pyx_n_s__n_features,&__pyx_n_s__X_data,&__pyx_n_s__X_indices,&__pyx_n_s__X_indptr,&__pyx_n_s__X_mean,0};
PyObject* values[6] = {0,0,0,0,0,0};
/* "sklearn/linear_model/cd_fast.pyx":72
* np.ndarray[INTEGER, ndim=1] X_indices,
* np.ndarray[INTEGER, ndim=1] X_indptr,
* np.ndarray[DOUBLE, ndim=1] X_mean=None): # <<<<<<<<<<<<<<
* cdef unsigned int ii
* cdef unsigned int jj
*/
values[5] = (PyObject *)((PyArrayObject *)Py_None);
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = PyDict_Size(__pyx_kwds);
switch (pos_args) {
case 0:
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__n_samples)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__n_features)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_std", 0, 5, 6, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_data)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_std", 0, 5, 6, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 3:
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_indices)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_std", 0, 5, 6, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 4:
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_indptr)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_std", 0, 5, 6, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 5:
if (kw_args > 0) {
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_mean);
if (value) { values[5] = value; kw_args--; }
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "sparse_std") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
break;
default: goto __pyx_L5_argtuple_error;
}
}
__pyx_v_n_samples = __Pyx_PyInt_AsUnsignedInt(values[0]); if (unlikely((__pyx_v_n_samples == (unsigned int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_n_features = __Pyx_PyInt_AsUnsignedInt(values[1]); if (unlikely((__pyx_v_n_features == (unsigned int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_X_data = ((PyArrayObject *)values[2]);
__pyx_v_X_indices = ((PyArrayObject *)values[3]);
__pyx_v_X_indptr = ((PyArrayObject *)values[4]);
__pyx_v_X_mean = ((PyArrayObject *)values[5]);
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("sparse_std", 0, 5, 6, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.sparse_std", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_data), __pyx_ptype_5numpy_ndarray, 1, "X_data", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_indices), __pyx_ptype_5numpy_ndarray, 1, "X_indices", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_indptr), __pyx_ptype_5numpy_ndarray, 1, "X_indptr", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 71; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_mean), __pyx_ptype_5numpy_ndarray, 1, "X_mean", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = __pyx_pf_7sklearn_12linear_model_7cd_fast_sparse_std(__pyx_self, __pyx_v_n_samples, __pyx_v_n_features, __pyx_v_X_data, __pyx_v_X_indices, __pyx_v_X_indptr, __pyx_v_X_mean);
goto __pyx_L0;
__pyx_L1_error:;
__pyx_r = NULL;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":67
* @cython.wraparound(False)
* @cython.cdivision(True)
* def sparse_std(unsigned int n_samples, # <<<<<<<<<<<<<<
* unsigned int n_features,
* np.ndarray[DOUBLE, ndim=1] X_data,
*/
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_sparse_std(CYTHON_UNUSED PyObject *__pyx_self, unsigned int __pyx_v_n_samples, unsigned int __pyx_v_n_features, PyArrayObject *__pyx_v_X_data, CYTHON_UNUSED PyArrayObject *__pyx_v_X_indices, PyArrayObject *__pyx_v_X_indptr, PyArrayObject *__pyx_v_X_mean) {
unsigned int __pyx_v_ii;
unsigned int __pyx_v_jj;
unsigned int __pyx_v_nnz_ii;
double __pyx_v_X_sum_ii;
double __pyx_v_X_mean_ii;
double __pyx_v_diff;
PyArrayObject *__pyx_v_X_std = 0;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_data;
__Pyx_Buffer __pyx_pybuffer_X_data;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_indices;
__Pyx_Buffer __pyx_pybuffer_X_indices;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_indptr;
__Pyx_Buffer __pyx_pybuffer_X_indptr;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_mean;
__Pyx_Buffer __pyx_pybuffer_X_mean;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_std;
__Pyx_Buffer __pyx_pybuffer_X_std;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
PyObject *__pyx_t_2 = NULL;
PyObject *__pyx_t_3 = NULL;
PyObject *__pyx_t_4 = NULL;
PyArrayObject *__pyx_t_5 = NULL;
int __pyx_t_6;
PyArrayObject *__pyx_t_7 = NULL;
int __pyx_t_8;
PyObject *__pyx_t_9 = NULL;
PyObject *__pyx_t_10 = NULL;
PyObject *__pyx_t_11 = NULL;
unsigned int __pyx_t_12;
unsigned int __pyx_t_13;
long __pyx_t_14;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_15;
unsigned int __pyx_t_16;
unsigned int __pyx_t_17;
unsigned int __pyx_t_18;
unsigned int __pyx_t_19;
long __pyx_t_20;
unsigned int __pyx_t_21;
unsigned int __pyx_t_22;
unsigned int __pyx_t_23;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("sparse_std", 0);
__Pyx_INCREF((PyObject *)__pyx_v_X_mean);
__pyx_pybuffer_X_std.pybuffer.buf = NULL;
__pyx_pybuffer_X_std.refcount = 0;
__pyx_pybuffernd_X_std.data = NULL;
__pyx_pybuffernd_X_std.rcbuffer = &__pyx_pybuffer_X_std;
__pyx_pybuffer_X_data.pybuffer.buf = NULL;
__pyx_pybuffer_X_data.refcount = 0;
__pyx_pybuffernd_X_data.data = NULL;
__pyx_pybuffernd_X_data.rcbuffer = &__pyx_pybuffer_X_data;
__pyx_pybuffer_X_indices.pybuffer.buf = NULL;
__pyx_pybuffer_X_indices.refcount = 0;
__pyx_pybuffernd_X_indices.data = NULL;
__pyx_pybuffernd_X_indices.rcbuffer = &__pyx_pybuffer_X_indices;
__pyx_pybuffer_X_indptr.pybuffer.buf = NULL;
__pyx_pybuffer_X_indptr.refcount = 0;
__pyx_pybuffernd_X_indptr.data = NULL;
__pyx_pybuffernd_X_indptr.rcbuffer = &__pyx_pybuffer_X_indptr;
__pyx_pybuffer_X_mean.pybuffer.buf = NULL;
__pyx_pybuffer_X_mean.refcount = 0;
__pyx_pybuffernd_X_mean.data = NULL;
__pyx_pybuffernd_X_mean.rcbuffer = &__pyx_pybuffer_X_mean;
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_data.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_data, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_data.diminfo[0].strides = __pyx_pybuffernd_X_data.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_data.diminfo[0].shape = __pyx_pybuffernd_X_data.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_indices.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_indices, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_indices.diminfo[0].strides = __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_indices.diminfo[0].shape = __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_indptr.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_indptr, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_indptr.diminfo[0].strides = __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_indptr.diminfo[0].shape = __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_mean, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_mean.diminfo[0].strides = __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_mean.diminfo[0].shape = __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.shape[0];
/* "sklearn/linear_model/cd_fast.pyx":81
* cdef double X_std_ii
*
* cdef np.ndarray[DOUBLE, ndim = 1] X_std = np.zeros(n_features, np.float64) # <<<<<<<<<<<<<<
*
* if X_mean is None:
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__zeros); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyLong_FromUnsignedLong(__pyx_v_n_features); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_4 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__float64); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_4);
__Pyx_GIVEREF(__pyx_t_4);
__pyx_t_1 = 0;
__pyx_t_4 = 0;
__pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_5 = ((PyArrayObject *)__pyx_t_4);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_std.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {
__pyx_v_X_std = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_X_std.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 81; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_X_std.diminfo[0].strides = __pyx_pybuffernd_X_std.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_std.diminfo[0].shape = __pyx_pybuffernd_X_std.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_5 = 0;
__pyx_v_X_std = ((PyArrayObject *)__pyx_t_4);
__pyx_t_4 = 0;
/* "sklearn/linear_model/cd_fast.pyx":83
* cdef np.ndarray[DOUBLE, ndim = 1] X_std = np.zeros(n_features, np.float64)
*
* if X_mean is None: # <<<<<<<<<<<<<<
* X_mean = np.zeros(n_features, np.float64)
*
*/
__pyx_t_6 = (((PyObject *)__pyx_v_X_mean) == Py_None);
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":84
*
* if X_mean is None:
* X_mean = np.zeros(n_features, np.float64) # <<<<<<<<<<<<<<
*
* for ii in xrange(n_features):
*/
__pyx_t_4 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_4, __pyx_n_s__zeros); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__pyx_t_4 = PyLong_FromUnsignedLong(__pyx_v_n_features); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__float64); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_4);
__Pyx_GIVEREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__pyx_t_4 = 0;
__pyx_t_1 = 0;
__pyx_t_1 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_7 = ((PyArrayObject *)__pyx_t_1);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer);
__pyx_t_8 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer, (PyObject*)__pyx_t_7, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack);
if (unlikely(__pyx_t_8 < 0)) {
PyErr_Fetch(&__pyx_t_9, &__pyx_t_10, &__pyx_t_11);
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_mean, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {
Py_XDECREF(__pyx_t_9); Py_XDECREF(__pyx_t_10); Py_XDECREF(__pyx_t_11);
__Pyx_RaiseBufferFallbackError();
} else {
PyErr_Restore(__pyx_t_9, __pyx_t_10, __pyx_t_11);
}
}
__pyx_pybuffernd_X_mean.diminfo[0].strides = __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_mean.diminfo[0].shape = __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.shape[0];
if (unlikely(__pyx_t_8 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 84; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_7 = 0;
__Pyx_DECREF(((PyObject *)__pyx_v_X_mean));
__pyx_v_X_mean = ((PyArrayObject *)__pyx_t_1);
__pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":86
* X_mean = np.zeros(n_features, np.float64)
*
* for ii in xrange(n_features): # <<<<<<<<<<<<<<
* # Computes the mean
* X_sum_ii = 0.0
*/
__pyx_t_12 = __pyx_v_n_features;
for (__pyx_t_13 = 0; __pyx_t_13 < __pyx_t_12; __pyx_t_13+=1) {
__pyx_v_ii = __pyx_t_13;
/* "sklearn/linear_model/cd_fast.pyx":88
* for ii in xrange(n_features):
* # Computes the mean
* X_sum_ii = 0.0 # <<<<<<<<<<<<<<
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* X_sum_ii += X_data[jj]
*/
__pyx_v_X_sum_ii = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":89
* # Computes the mean
* X_sum_ii = 0.0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* X_sum_ii += X_data[jj]
* X_mean[ii] = X_sum_ii / n_samples
*/
__pyx_t_14 = (__pyx_v_ii + 1);
__pyx_t_15 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_14, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_16 = __pyx_v_ii;
for (__pyx_t_17 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_16, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_17 < __pyx_t_15; __pyx_t_17+=1) {
__pyx_v_jj = __pyx_t_17;
/* "sklearn/linear_model/cd_fast.pyx":90
* X_sum_ii = 0.0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* X_sum_ii += X_data[jj] # <<<<<<<<<<<<<<
* X_mean[ii] = X_sum_ii / n_samples
*
*/
__pyx_t_18 = __pyx_v_jj;
__pyx_v_X_sum_ii = (__pyx_v_X_sum_ii + (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_X_data.diminfo[0].strides)));
}
/* "sklearn/linear_model/cd_fast.pyx":91
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* X_sum_ii += X_data[jj]
* X_mean[ii] = X_sum_ii / n_samples # <<<<<<<<<<<<<<
*
* for ii in xrange(n_features):
*/
__pyx_t_17 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_17, __pyx_pybuffernd_X_mean.diminfo[0].strides) = (__pyx_v_X_sum_ii / __pyx_v_n_samples);
}
goto __pyx_L3;
}
__pyx_L3:;
/* "sklearn/linear_model/cd_fast.pyx":93
* X_mean[ii] = X_sum_ii / n_samples
*
* for ii in xrange(n_features): # <<<<<<<<<<<<<<
* X_mean_ii = X_mean[ii]
* X_sum_ii = 0.0
*/
__pyx_t_12 = __pyx_v_n_features;
for (__pyx_t_13 = 0; __pyx_t_13 < __pyx_t_12; __pyx_t_13+=1) {
__pyx_v_ii = __pyx_t_13;
/* "sklearn/linear_model/cd_fast.pyx":94
*
* for ii in xrange(n_features):
* X_mean_ii = X_mean[ii] # <<<<<<<<<<<<<<
* X_sum_ii = 0.0
* nnz_ii = 0
*/
__pyx_t_19 = __pyx_v_ii;
__pyx_v_X_mean_ii = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_X_mean.diminfo[0].strides));
/* "sklearn/linear_model/cd_fast.pyx":95
* for ii in xrange(n_features):
* X_mean_ii = X_mean[ii]
* X_sum_ii = 0.0 # <<<<<<<<<<<<<<
* nnz_ii = 0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
*/
__pyx_v_X_sum_ii = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":96
* X_mean_ii = X_mean[ii]
* X_sum_ii = 0.0
* nnz_ii = 0 # <<<<<<<<<<<<<<
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* diff = X_data[jj] - X_mean_ii
*/
__pyx_v_nnz_ii = 0;
/* "sklearn/linear_model/cd_fast.pyx":97
* X_sum_ii = 0.0
* nnz_ii = 0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* diff = X_data[jj] - X_mean_ii
* X_sum_ii += diff * diff
*/
__pyx_t_20 = (__pyx_v_ii + 1);
__pyx_t_15 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_21 = __pyx_v_ii;
for (__pyx_t_22 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_22 < __pyx_t_15; __pyx_t_22+=1) {
__pyx_v_jj = __pyx_t_22;
/* "sklearn/linear_model/cd_fast.pyx":98
* nnz_ii = 0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* diff = X_data[jj] - X_mean_ii # <<<<<<<<<<<<<<
* X_sum_ii += diff * diff
* nnz_ii += 1
*/
__pyx_t_23 = __pyx_v_jj;
__pyx_v_diff = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_X_data.diminfo[0].strides)) - __pyx_v_X_mean_ii);
/* "sklearn/linear_model/cd_fast.pyx":99
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* diff = X_data[jj] - X_mean_ii
* X_sum_ii += diff * diff # <<<<<<<<<<<<<<
* nnz_ii += 1
*
*/
__pyx_v_X_sum_ii = (__pyx_v_X_sum_ii + (__pyx_v_diff * __pyx_v_diff));
/* "sklearn/linear_model/cd_fast.pyx":100
* diff = X_data[jj] - X_mean_ii
* X_sum_ii += diff * diff
* nnz_ii += 1 # <<<<<<<<<<<<<<
*
* X_std[ii] = (X_sum_ii + (n_samples - nnz_ii) * X_mean_ii * X_mean_ii)
*/
__pyx_v_nnz_ii = (__pyx_v_nnz_ii + 1);
}
/* "sklearn/linear_model/cd_fast.pyx":102
* nnz_ii += 1
*
* X_std[ii] = (X_sum_ii + (n_samples - nnz_ii) * X_mean_ii * X_mean_ii) # <<<<<<<<<<<<<<
* return np.sqrt(X_std)
*
*/
__pyx_t_22 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_std.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_X_std.diminfo[0].strides) = (__pyx_v_X_sum_ii + (((__pyx_v_n_samples - __pyx_v_nnz_ii) * __pyx_v_X_mean_ii) * __pyx_v_X_mean_ii));
}
/* "sklearn/linear_model/cd_fast.pyx":103
*
* X_std[ii] = (X_sum_ii + (n_samples - nnz_ii) * X_mean_ii * X_mean_ii)
* return np.sqrt(X_std) # <<<<<<<<<<<<<<
*
*
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__sqrt); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(((PyObject *)__pyx_v_X_std));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_X_std));
__Pyx_GIVEREF(((PyObject *)__pyx_v_X_std));
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__pyx_r = __pyx_t_3;
__pyx_t_3 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_4);
{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_data.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indices.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indptr.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_std.rcbuffer->pybuffer);
__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.sparse_std", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
goto __pyx_L2;
__pyx_L0:;
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_data.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indices.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indptr.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_std.rcbuffer->pybuffer);
__pyx_L2:;
__Pyx_XDECREF((PyObject *)__pyx_v_X_std);
__Pyx_XDECREF((PyObject *)__pyx_v_X_mean);
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_3enet_coordinate_descent(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_7sklearn_12linear_model_7cd_fast_2enet_coordinate_descent[] = "Cython version of the coordinate descent algorithm\n for Elastic-Net regression\n\n We minimize\n\n 1 norm(y - X w, 2)^2 + alpha norm(w, 1) + beta norm(w, 2)^2\n - ----\n 2 2\n\n ";
static PyMethodDef __pyx_mdef_7sklearn_12linear_model_7cd_fast_3enet_coordinate_descent = {__Pyx_NAMESTR("enet_coordinate_descent"), (PyCFunction)__pyx_pw_7sklearn_12linear_model_7cd_fast_3enet_coordinate_descent, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_12linear_model_7cd_fast_2enet_coordinate_descent)};
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_3enet_coordinate_descent(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyArrayObject *__pyx_v_w = 0;
double __pyx_v_alpha;
double __pyx_v_beta;
PyArrayObject *__pyx_v_X = 0;
PyArrayObject *__pyx_v_y = 0;
int __pyx_v_max_iter;
double __pyx_v_tol;
PyBoolObject *__pyx_v_positive = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("enet_coordinate_descent (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__w,&__pyx_n_s__alpha,&__pyx_n_s__beta,&__pyx_n_s__X,&__pyx_n_s__y,&__pyx_n_s__max_iter,&__pyx_n_s__tol,&__pyx_n_s__positive,0};
PyObject* values[8] = {0,0,0,0,0,0,0,0};
values[7] = (PyObject *)__pyx_k_1;
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = PyDict_Size(__pyx_kwds);
switch (pos_args) {
case 0:
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__w)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__alpha)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__beta)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 3:
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 4:
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__y)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 5:
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 6:
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 7:
if (kw_args > 0) {
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__positive);
if (value) { values[7] = value; kw_args--; }
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "enet_coordinate_descent") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
break;
default: goto __pyx_L5_argtuple_error;
}
}
__pyx_v_w = ((PyArrayObject *)values[0]);
__pyx_v_alpha = __pyx_PyFloat_AsDouble(values[1]); if (unlikely((__pyx_v_alpha == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 110; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_beta = __pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_beta == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 110; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_X = ((PyArrayObject *)values[3]);
__pyx_v_y = ((PyArrayObject *)values[4]);
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[5]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[6]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_positive = ((PyBoolObject *)values[7]);
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent", 0, 7, 8, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.enet_coordinate_descent", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_w), __pyx_ptype_5numpy_ndarray, 1, "w", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X), __pyx_ptype_5numpy_ndarray, 1, "X", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), __pyx_ptype_5numpy_ndarray, 1, "y", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_positive), __pyx_ptype_7cpython_4bool_bool, 1, "positive", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = __pyx_pf_7sklearn_12linear_model_7cd_fast_2enet_coordinate_descent(__pyx_self, __pyx_v_w, __pyx_v_alpha, __pyx_v_beta, __pyx_v_X, __pyx_v_y, __pyx_v_max_iter, __pyx_v_tol, __pyx_v_positive);
goto __pyx_L0;
__pyx_L1_error:;
__pyx_r = NULL;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":109
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=2] X,
*/
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_2enet_coordinate_descent(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_y, int __pyx_v_max_iter, double __pyx_v_tol, PyBoolObject *__pyx_v_positive) {
unsigned int __pyx_v_n_samples;
unsigned int __pyx_v_n_features;
PyArrayObject *__pyx_v_norm_cols_X = 0;
PyArrayObject *__pyx_v_R = 0;
double __pyx_v_tmp;
double __pyx_v_w_ii;
double __pyx_v_d_w_max;
double __pyx_v_w_max;
double __pyx_v_d_w_ii;
double __pyx_v_gap;
double __pyx_v_d_w_tol;
unsigned int __pyx_v_ii;
unsigned int __pyx_v_n_iter;
PyObject *__pyx_v_XtA = NULL;
PyObject *__pyx_v_dual_norm_XtA = NULL;
PyObject *__pyx_v_R_norm2 = NULL;
PyObject *__pyx_v_w_norm2 = NULL;
PyObject *__pyx_v_const = NULL;
PyObject *__pyx_v_A_norm2 = NULL;
__Pyx_LocalBuf_ND __pyx_pybuffernd_R;
__Pyx_Buffer __pyx_pybuffer_R;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X;
__Pyx_Buffer __pyx_pybuffer_X;
__Pyx_LocalBuf_ND __pyx_pybuffernd_norm_cols_X;
__Pyx_Buffer __pyx_pybuffer_norm_cols_X;
__Pyx_LocalBuf_ND __pyx_pybuffernd_w;
__Pyx_Buffer __pyx_pybuffer_w;
__Pyx_LocalBuf_ND __pyx_pybuffernd_y;
__Pyx_Buffer __pyx_pybuffer_y;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
PyObject *__pyx_t_2 = NULL;
PyObject *__pyx_t_3 = NULL;
PyArrayObject *__pyx_t_4 = NULL;
int __pyx_t_5;
PyArrayObject *__pyx_t_6 = NULL;
int __pyx_t_7;
PyObject *__pyx_t_8 = NULL;
PyObject *__pyx_t_9 = NULL;
PyObject *__pyx_t_10 = NULL;
PyObject *__pyx_t_11 = NULL;
double __pyx_t_12;
unsigned int __pyx_t_13;
unsigned int __pyx_t_14;
unsigned int __pyx_t_15;
unsigned int __pyx_t_16;
unsigned int __pyx_t_17;
int __pyx_t_18;
int __pyx_t_19;
unsigned int __pyx_t_20;
unsigned int __pyx_t_21;
unsigned int __pyx_t_22;
unsigned int __pyx_t_23;
unsigned int __pyx_t_24;
unsigned int __pyx_t_25;
unsigned int __pyx_t_26;
unsigned int __pyx_t_27;
int __pyx_t_28;
PyObject *__pyx_t_29 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("enet_coordinate_descent", 0);
__pyx_pybuffer_norm_cols_X.pybuffer.buf = NULL;
__pyx_pybuffer_norm_cols_X.refcount = 0;
__pyx_pybuffernd_norm_cols_X.data = NULL;
__pyx_pybuffernd_norm_cols_X.rcbuffer = &__pyx_pybuffer_norm_cols_X;
__pyx_pybuffer_R.pybuffer.buf = NULL;
__pyx_pybuffer_R.refcount = 0;
__pyx_pybuffernd_R.data = NULL;
__pyx_pybuffernd_R.rcbuffer = &__pyx_pybuffer_R;
__pyx_pybuffer_w.pybuffer.buf = NULL;
__pyx_pybuffer_w.refcount = 0;
__pyx_pybuffernd_w.data = NULL;
__pyx_pybuffernd_w.rcbuffer = &__pyx_pybuffer_w;
__pyx_pybuffer_X.pybuffer.buf = NULL;
__pyx_pybuffer_X.refcount = 0;
__pyx_pybuffernd_X.data = NULL;
__pyx_pybuffernd_X.rcbuffer = &__pyx_pybuffer_X;
__pyx_pybuffer_y.pybuffer.buf = NULL;
__pyx_pybuffer_y.refcount = 0;
__pyx_pybuffernd_y.data = NULL;
__pyx_pybuffernd_y.rcbuffer = &__pyx_pybuffer_y;
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_w.rcbuffer->pybuffer, (PyObject*)__pyx_v_w, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_w.diminfo[0].strides = __pyx_pybuffernd_w.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_w.diminfo[0].shape = __pyx_pybuffernd_w.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X.rcbuffer->pybuffer, (PyObject*)__pyx_v_X, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X.diminfo[0].strides = __pyx_pybuffernd_X.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X.diminfo[0].shape = __pyx_pybuffernd_X.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_X.diminfo[1].strides = __pyx_pybuffernd_X.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_X.diminfo[1].shape = __pyx_pybuffernd_X.rcbuffer->pybuffer.shape[1];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_y.rcbuffer->pybuffer, (PyObject*)__pyx_v_y, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_y.diminfo[0].strides = __pyx_pybuffernd_y.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_y.diminfo[0].shape = __pyx_pybuffernd_y.rcbuffer->pybuffer.shape[0];
/* "sklearn/linear_model/cd_fast.pyx":126
*
* # get the data information into easy vars
* cdef unsigned int n_samples = X.shape[0] # <<<<<<<<<<<<<<
* cdef unsigned int n_features = X.shape[1]
*
*/
__pyx_v_n_samples = (__pyx_v_X->dimensions[0]);
/* "sklearn/linear_model/cd_fast.pyx":127
* # get the data information into easy vars
* cdef unsigned int n_samples = X.shape[0]
* cdef unsigned int n_features = X.shape[1] # <<<<<<<<<<<<<<
*
* # compute norms of the columns of X
*/
__pyx_v_n_features = (__pyx_v_X->dimensions[1]);
/* "sklearn/linear_model/cd_fast.pyx":130
*
* # compute norms of the columns of X
* cdef np.ndarray[DOUBLE, ndim=1] norm_cols_X = (X**2).sum(axis=0) # <<<<<<<<<<<<<<
*
* # initial value of the residuals
*/
__pyx_t_1 = PyNumber_Power(((PyObject *)__pyx_v_X), __pyx_int_2, Py_None); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__sum); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_1));
if (PyDict_SetItem(__pyx_t_1, ((PyObject *)__pyx_n_s__axis), __pyx_int_0) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_empty_tuple), ((PyObject *)__pyx_t_1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_4 = ((PyArrayObject *)__pyx_t_3);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer, (PyObject*)__pyx_t_4, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
__pyx_v_norm_cols_X = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_norm_cols_X.diminfo[0].strides = __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_norm_cols_X.diminfo[0].shape = __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_4 = 0;
__pyx_v_norm_cols_X = ((PyArrayObject *)__pyx_t_3);
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":140
* cdef double w_max
* cdef double d_w_ii
* cdef double gap = tol + 1.0 # <<<<<<<<<<<<<<
* cdef double d_w_tol = tol
* cdef unsigned int ii
*/
__pyx_v_gap = (__pyx_v_tol + 1.0);
/* "sklearn/linear_model/cd_fast.pyx":141
* cdef double d_w_ii
* cdef double gap = tol + 1.0
* cdef double d_w_tol = tol # <<<<<<<<<<<<<<
* cdef unsigned int ii
* cdef unsigned int n_iter
*/
__pyx_v_d_w_tol = __pyx_v_tol;
/* "sklearn/linear_model/cd_fast.pyx":145
* cdef unsigned int n_iter
*
* if alpha == 0: # <<<<<<<<<<<<<<
* warnings.warn("Coordinate descent with alpha=0 may lead to unexpected"
* " results and is discouraged.")
*/
__pyx_t_5 = (__pyx_v_alpha == 0.0);
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":146
*
* if alpha == 0:
* warnings.warn("Coordinate descent with alpha=0 may lead to unexpected" # <<<<<<<<<<<<<<
* " results and is discouraged.")
*
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__warnings); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__warn); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_k_tuple_3), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
goto __pyx_L3;
}
__pyx_L3:;
/* "sklearn/linear_model/cd_fast.pyx":149
* " results and is discouraged.")
*
* R = y - np.dot(X, w) # <<<<<<<<<<<<<<
*
* tol = tol * np.dot(y, y)
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__dot); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_X));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_X));
__Pyx_GIVEREF(((PyObject *)__pyx_v_X));
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Subtract(((PyObject *)__pyx_v_y), __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_6 = ((PyArrayObject *)__pyx_t_3);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__pyx_t_7 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_t_6, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack);
if (unlikely(__pyx_t_7 < 0)) {
PyErr_Fetch(&__pyx_t_8, &__pyx_t_9, &__pyx_t_10);
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_v_R, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
Py_XDECREF(__pyx_t_8); Py_XDECREF(__pyx_t_9); Py_XDECREF(__pyx_t_10);
__Pyx_RaiseBufferFallbackError();
} else {
PyErr_Restore(__pyx_t_8, __pyx_t_9, __pyx_t_10);
}
}
__pyx_pybuffernd_R.diminfo[0].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_R.diminfo[0].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[0];
if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_6 = 0;
__pyx_v_R = ((PyArrayObject *)__pyx_t_3);
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":151
* R = y - np.dot(X, w)
*
* tol = tol * np.dot(y, y) # <<<<<<<<<<<<<<
*
* for n_iter in range(max_iter):
*/
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_tol); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__dot); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_2, 1, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__pyx_t_11 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Multiply(__pyx_t_3, __pyx_t_11); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__pyx_t_12 = __pyx_PyFloat_AsDouble(__pyx_t_2); if (unlikely((__pyx_t_12 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_tol = __pyx_t_12;
/* "sklearn/linear_model/cd_fast.pyx":153
* tol = tol * np.dot(y, y)
*
* for n_iter in range(max_iter): # <<<<<<<<<<<<<<
* w_max = 0.0
* d_w_max = 0.0
*/
__pyx_t_7 = __pyx_v_max_iter;
for (__pyx_t_13 = 0; __pyx_t_13 < __pyx_t_7; __pyx_t_13+=1) {
__pyx_v_n_iter = __pyx_t_13;
/* "sklearn/linear_model/cd_fast.pyx":154
*
* for n_iter in range(max_iter):
* w_max = 0.0 # <<<<<<<<<<<<<<
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates
*/
__pyx_v_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":155
* for n_iter in range(max_iter):
* w_max = 0.0
* d_w_max = 0.0 # <<<<<<<<<<<<<<
* for ii in xrange(n_features): # Loop over coordinates
* if norm_cols_X[ii] == 0.0:
*/
__pyx_v_d_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":156
* w_max = 0.0
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates # <<<<<<<<<<<<<<
* if norm_cols_X[ii] == 0.0:
* continue
*/
__pyx_t_14 = __pyx_v_n_features;
for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_14; __pyx_t_15+=1) {
__pyx_v_ii = __pyx_t_15;
/* "sklearn/linear_model/cd_fast.pyx":157
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates
* if norm_cols_X[ii] == 0.0: # <<<<<<<<<<<<<<
* continue
*
*/
__pyx_t_16 = __pyx_v_ii;
__pyx_t_5 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_16, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides)) == 0.0);
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":158
* for ii in xrange(n_features): # Loop over coordinates
* if norm_cols_X[ii] == 0.0:
* continue # <<<<<<<<<<<<<<
*
* w_ii = w[ii] # Store previous value
*/
goto __pyx_L6_continue;
goto __pyx_L8;
}
__pyx_L8:;
/* "sklearn/linear_model/cd_fast.pyx":160
* continue
*
* w_ii = w[ii] # Store previous value # <<<<<<<<<<<<<<
*
* if w_ii != 0.0:
*/
__pyx_t_17 = __pyx_v_ii;
__pyx_v_w_ii = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_17, __pyx_pybuffernd_w.diminfo[0].strides));
/* "sklearn/linear_model/cd_fast.pyx":162
* w_ii = w[ii] # Store previous value
*
* if w_ii != 0.0: # <<<<<<<<<<<<<<
* # R += w_ii * X[:,ii]
* daxpy(n_samples, w_ii,
*/
__pyx_t_5 = (__pyx_v_w_ii != 0.0);
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":166
* daxpy(n_samples, w_ii,
* <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)), 1,
* <DOUBLE*>R.data, 1) # <<<<<<<<<<<<<<
*
* # tmp = (X[:,ii]*R).sum()
*/
cblas_daxpy(__pyx_v_n_samples, __pyx_v_w_ii, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_X->data + ((__pyx_v_ii * __pyx_v_n_samples) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), 1);
goto __pyx_L9;
}
__pyx_L9:;
/* "sklearn/linear_model/cd_fast.pyx":171
* tmp = ddot(n_samples,
* <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)), 1,
* <DOUBLE*>R.data, 1) # <<<<<<<<<<<<<<
*
* if positive and tmp < 0:
*/
__pyx_v_tmp = cblas_ddot(__pyx_v_n_samples, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_X->data + ((__pyx_v_ii * __pyx_v_n_samples) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), 1);
/* "sklearn/linear_model/cd_fast.pyx":173
* <DOUBLE*>R.data, 1)
*
* if positive and tmp < 0: # <<<<<<<<<<<<<<
* w[ii] = 0.0
* else:
*/
__pyx_t_5 = __Pyx_PyObject_IsTrue(((PyObject *)__pyx_v_positive)); if (unlikely(__pyx_t_5 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_5) {
__pyx_t_18 = (__pyx_v_tmp < 0.0);
__pyx_t_19 = __pyx_t_18;
} else {
__pyx_t_19 = __pyx_t_5;
}
if (__pyx_t_19) {
/* "sklearn/linear_model/cd_fast.pyx":174
*
* if positive and tmp < 0:
* w[ii] = 0.0 # <<<<<<<<<<<<<<
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \
*/
__pyx_t_20 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_20, __pyx_pybuffernd_w.diminfo[0].strides) = 0.0;
goto __pyx_L10;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":177
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \
* / (norm_cols_X[ii] + beta) # <<<<<<<<<<<<<<
*
* if w[ii] != 0.0:
*/
__pyx_t_21 = __pyx_v_ii;
/* "sklearn/linear_model/cd_fast.pyx":176
* w[ii] = 0.0
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \ # <<<<<<<<<<<<<<
* / (norm_cols_X[ii] + beta)
*
*/
__pyx_t_22 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_w.diminfo[0].strides) = ((__pyx_f_7sklearn_12linear_model_7cd_fast_fsign(__pyx_v_tmp) * __pyx_f_7sklearn_12linear_model_7cd_fast_fmax((fabs(__pyx_v_tmp) - __pyx_v_alpha), 0.0)) / ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides)) + __pyx_v_beta));
}
__pyx_L10:;
/* "sklearn/linear_model/cd_fast.pyx":179
* / (norm_cols_X[ii] + beta)
*
* if w[ii] != 0.0: # <<<<<<<<<<<<<<
* # R -= w[ii] * X[:,ii] # Update residual
* daxpy(n_samples, -w[ii],
*/
__pyx_t_23 = __pyx_v_ii;
__pyx_t_19 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_w.diminfo[0].strides)) != 0.0);
if (__pyx_t_19) {
/* "sklearn/linear_model/cd_fast.pyx":181
* if w[ii] != 0.0:
* # R -= w[ii] * X[:,ii] # Update residual
* daxpy(n_samples, -w[ii], # <<<<<<<<<<<<<<
* <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)), 1,
* <DOUBLE*>R.data, 1)
*/
__pyx_t_24 = __pyx_v_ii;
/* "sklearn/linear_model/cd_fast.pyx":183
* daxpy(n_samples, -w[ii],
* <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)), 1,
* <DOUBLE*>R.data, 1) # <<<<<<<<<<<<<<
*
* # update the maximum absolute coefficient update
*/
cblas_daxpy(__pyx_v_n_samples, (-(*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_w.diminfo[0].strides))), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_X->data + ((__pyx_v_ii * __pyx_v_n_samples) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), 1);
goto __pyx_L11;
}
__pyx_L11:;
/* "sklearn/linear_model/cd_fast.pyx":186
*
* # update the maximum absolute coefficient update
* d_w_ii = fabs(w[ii] - w_ii) # <<<<<<<<<<<<<<
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii
*/
__pyx_t_25 = __pyx_v_ii;
__pyx_v_d_w_ii = fabs(((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_w.diminfo[0].strides)) - __pyx_v_w_ii));
/* "sklearn/linear_model/cd_fast.pyx":187
* # update the maximum absolute coefficient update
* d_w_ii = fabs(w[ii] - w_ii)
* if d_w_ii > d_w_max: # <<<<<<<<<<<<<<
* d_w_max = d_w_ii
*
*/
__pyx_t_19 = (__pyx_v_d_w_ii > __pyx_v_d_w_max);
if (__pyx_t_19) {
/* "sklearn/linear_model/cd_fast.pyx":188
* d_w_ii = fabs(w[ii] - w_ii)
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii # <<<<<<<<<<<<<<
*
* if fabs(w[ii]) > w_max:
*/
__pyx_v_d_w_max = __pyx_v_d_w_ii;
goto __pyx_L12;
}
__pyx_L12:;
/* "sklearn/linear_model/cd_fast.pyx":190
* d_w_max = d_w_ii
*
* if fabs(w[ii]) > w_max: # <<<<<<<<<<<<<<
* w_max = fabs(w[ii])
*
*/
__pyx_t_26 = __pyx_v_ii;
__pyx_t_19 = (fabs((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_26, __pyx_pybuffernd_w.diminfo[0].strides))) > __pyx_v_w_max);
if (__pyx_t_19) {
/* "sklearn/linear_model/cd_fast.pyx":191
*
* if fabs(w[ii]) > w_max:
* w_max = fabs(w[ii]) # <<<<<<<<<<<<<<
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1:
*/
__pyx_t_27 = __pyx_v_ii;
__pyx_v_w_max = fabs((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_w.diminfo[0].strides)));
goto __pyx_L13;
}
__pyx_L13:;
__pyx_L6_continue:;
}
/* "sklearn/linear_model/cd_fast.pyx":193
* w_max = fabs(w[ii])
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1: # <<<<<<<<<<<<<<
* # the biggest coordinate update of this iteration was smaller than
* # the tolerance: check the duality gap as ultimate stopping
*/
__pyx_t_19 = (__pyx_v_w_max == 0.0);
if (!__pyx_t_19) {
__pyx_t_5 = ((__pyx_v_d_w_max / __pyx_v_w_max) < __pyx_v_d_w_tol);
if (!__pyx_t_5) {
__pyx_t_18 = (__pyx_v_n_iter == (__pyx_v_max_iter - 1));
__pyx_t_28 = __pyx_t_18;
} else {
__pyx_t_28 = __pyx_t_5;
}
__pyx_t_5 = __pyx_t_28;
} else {
__pyx_t_5 = __pyx_t_19;
}
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":198
* # criterion
*
* XtA = np.dot(X.T, R) - beta * w # <<<<<<<<<<<<<<
* if positive:
* dual_norm_XtA = np.max(XtA)
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_11 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__dot); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyObject_GetAttr(((PyObject *)__pyx_v_X), __pyx_n_s__T); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__pyx_t_2 = 0;
__pyx_t_2 = PyObject_Call(__pyx_t_11, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_11 = PyNumber_Multiply(__pyx_t_3, ((PyObject *)__pyx_v_w)); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Subtract(__pyx_t_2, __pyx_t_11); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_XDECREF(__pyx_v_XtA);
__pyx_v_XtA = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":199
*
* XtA = np.dot(X.T, R) - beta * w
* if positive: # <<<<<<<<<<<<<<
* dual_norm_XtA = np.max(XtA)
* else:
*/
__pyx_t_5 = __Pyx_PyObject_IsTrue(((PyObject *)__pyx_v_positive)); if (unlikely(__pyx_t_5 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":200
* XtA = np.dot(X.T, R) - beta * w
* if positive:
* dual_norm_XtA = np.max(XtA) # <<<<<<<<<<<<<<
* else:
* dual_norm_XtA = linalg.norm(XtA, np.inf)
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_11 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__max); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_XtA);
__Pyx_GIVEREF(__pyx_v_XtA);
__pyx_t_2 = PyObject_Call(__pyx_t_11, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_2;
__pyx_t_2 = 0;
goto __pyx_L15;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":202
* dual_norm_XtA = np.max(XtA)
* else:
* dual_norm_XtA = linalg.norm(XtA, np.inf) # <<<<<<<<<<<<<<
*
* R_norm2 = np.dot(R, R)
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__linalg); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__norm); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_11 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__inf); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_XtA);
__Pyx_GIVEREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_11);
__Pyx_GIVEREF(__pyx_t_11);
__pyx_t_11 = 0;
__pyx_t_11 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_11;
__pyx_t_11 = 0;
}
__pyx_L15:;
/* "sklearn/linear_model/cd_fast.pyx":204
* dual_norm_XtA = linalg.norm(XtA, np.inf)
*
* R_norm2 = np.dot(R, R) # <<<<<<<<<<<<<<
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha):
*/
__pyx_t_11 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_11, __pyx_n_s__dot); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__pyx_t_11 = PyTuple_New(2); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_11, 0, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_11, 1, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_11), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_11)); __pyx_t_11 = 0;
__Pyx_XDECREF(__pyx_v_R_norm2);
__pyx_v_R_norm2 = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":205
*
* R_norm2 = np.dot(R, R)
* w_norm2 = np.dot(w, w) # <<<<<<<<<<<<<<
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_11 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__dot); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__pyx_t_2 = PyObject_Call(__pyx_t_11, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_w_norm2);
__pyx_v_w_norm2 = __pyx_t_2;
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":206
* R_norm2 = np.dot(R, R)
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha): # <<<<<<<<<<<<<<
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * (const**2)
*/
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 206; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_dual_norm_XtA, __pyx_t_2, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 206; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_5 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_5 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 206; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":207
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA # <<<<<<<<<<<<<<
* A_norm2 = R_norm2 * (const**2)
* gap = 0.5 * (R_norm2 + A_norm2)
*/
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = __Pyx_PyNumber_Divide(__pyx_t_3, __pyx_v_dual_norm_XtA); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_2;
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":208
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * (const**2) # <<<<<<<<<<<<<<
* gap = 0.5 * (R_norm2 + A_norm2)
* else:
*/
__pyx_t_2 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyNumber_Multiply(__pyx_v_R_norm2, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_v_A_norm2);
__pyx_v_A_norm2 = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":209
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * (const**2)
* gap = 0.5 * (R_norm2 + A_norm2) # <<<<<<<<<<<<<<
* else:
* const = 1.0
*/
__pyx_t_3 = PyFloat_FromDouble(0.5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyNumber_Add(__pyx_v_R_norm2, __pyx_v_A_norm2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_11 = PyNumber_Multiply(__pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_12 = __pyx_PyFloat_AsDouble(__pyx_t_11); if (unlikely((__pyx_t_12 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__pyx_v_gap = __pyx_t_12;
goto __pyx_L16;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":211
* gap = 0.5 * (R_norm2 + A_norm2)
* else:
* const = 1.0 # <<<<<<<<<<<<<<
* gap = R_norm2
*
*/
__pyx_t_11 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_11;
__pyx_t_11 = 0;
/* "sklearn/linear_model/cd_fast.pyx":212
* else:
* const = 1.0
* gap = R_norm2 # <<<<<<<<<<<<<<
*
* gap += alpha * linalg.norm(w, 1) - const * np.dot(R.T, y) + \
*/
__pyx_t_12 = __pyx_PyFloat_AsDouble(__pyx_v_R_norm2); if (unlikely((__pyx_t_12 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 212; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_gap = __pyx_t_12;
}
__pyx_L16:;
/* "sklearn/linear_model/cd_fast.pyx":214
* gap = R_norm2
*
* gap += alpha * linalg.norm(w, 1) - const * np.dot(R.T, y) + \ # <<<<<<<<<<<<<<
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*
*/
__pyx_t_11 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__linalg); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__norm); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(__pyx_int_1);
PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_1);
__Pyx_GIVEREF(__pyx_int_1);
__pyx_t_29 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Multiply(__pyx_t_2, __pyx_t_29); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_29 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_29, __pyx_n_s__dot); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_29 = PyObject_GetAttr(((PyObject *)__pyx_v_R), __pyx_n_s__T); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_29);
__Pyx_GIVEREF(__pyx_t_29);
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_1, 1, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__pyx_t_29 = 0;
__pyx_t_29 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_Multiply(__pyx_v_const, __pyx_t_29); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_29 = PyNumber_Subtract(__pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":215
*
* gap += alpha * linalg.norm(w, 1) - const * np.dot(R.T, y) + \
* 0.5 * beta * (1 + const ** 2) * (w_norm2) # <<<<<<<<<<<<<<
*
* if gap < tol:
*/
__pyx_t_1 = PyFloat_FromDouble((0.5 * __pyx_v_beta)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyNumber_Add(__pyx_int_1, __pyx_t_3); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Multiply(__pyx_t_3, __pyx_v_w_norm2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Add(__pyx_t_29, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_InPlaceAdd(__pyx_t_11, __pyx_t_3); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_12 = __pyx_PyFloat_AsDouble(__pyx_t_2); if (unlikely((__pyx_t_12 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 214; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_gap = __pyx_t_12;
/* "sklearn/linear_model/cd_fast.pyx":217
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*
* if gap < tol: # <<<<<<<<<<<<<<
* # return if we reached desired tolerance
* break
*/
__pyx_t_5 = (__pyx_v_gap < __pyx_v_tol);
if (__pyx_t_5) {
/* "sklearn/linear_model/cd_fast.pyx":219
* if gap < tol:
* # return if we reached desired tolerance
* break # <<<<<<<<<<<<<<
*
* return w, gap, tol
*/
goto __pyx_L5_break;
goto __pyx_L17;
}
__pyx_L17:;
goto __pyx_L14;
}
__pyx_L14:;
}
__pyx_L5_break:;
/* "sklearn/linear_model/cd_fast.pyx":221
* break
*
* return w, gap, tol # <<<<<<<<<<<<<<
*
*
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 221; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_tol); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 221; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_11 = PyTuple_New(3); if (unlikely(!__pyx_t_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 221; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_11);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_11, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_11, 1, __pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_11, 2, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__pyx_t_2 = 0;
__pyx_t_3 = 0;
__pyx_r = ((PyObject *)__pyx_t_11);
__pyx_t_11 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_11);
__Pyx_XDECREF(__pyx_t_29);
{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_y.rcbuffer->pybuffer);
__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.enet_coordinate_descent", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
goto __pyx_L2;
__pyx_L0:;
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_y.rcbuffer->pybuffer);
__pyx_L2:;
__Pyx_XDECREF((PyObject *)__pyx_v_norm_cols_X);
__Pyx_XDECREF((PyObject *)__pyx_v_R);
__Pyx_XDECREF(__pyx_v_XtA);
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__Pyx_XDECREF(__pyx_v_R_norm2);
__Pyx_XDECREF(__pyx_v_w_norm2);
__Pyx_XDECREF(__pyx_v_const);
__Pyx_XDECREF(__pyx_v_A_norm2);
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_5sparse_enet_coordinate_descent(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_7sklearn_12linear_model_7cd_fast_4sparse_enet_coordinate_descent[] = "Cython version of the coordinate descent algorithm for Elastic-Net\n\n We minimize:\n\n 1 norm(y - X w, 2)^2 + alpha norm(w, 1) + beta norm(w, 2)^2\n - ----\n 2 2\n\n ";
static PyMethodDef __pyx_mdef_7sklearn_12linear_model_7cd_fast_5sparse_enet_coordinate_descent = {__Pyx_NAMESTR("sparse_enet_coordinate_descent"), (PyCFunction)__pyx_pw_7sklearn_12linear_model_7cd_fast_5sparse_enet_coordinate_descent, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_12linear_model_7cd_fast_4sparse_enet_coordinate_descent)};
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_5sparse_enet_coordinate_descent(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyArrayObject *__pyx_v_w = 0;
double __pyx_v_alpha;
double __pyx_v_beta;
PyArrayObject *__pyx_v_X_data = 0;
PyArrayObject *__pyx_v_X_indices = 0;
PyArrayObject *__pyx_v_X_indptr = 0;
PyArrayObject *__pyx_v_y = 0;
PyArrayObject *__pyx_v_X_mean = 0;
int __pyx_v_max_iter;
double __pyx_v_tol;
int __pyx_v_positive;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("sparse_enet_coordinate_descent (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__w,&__pyx_n_s__alpha,&__pyx_n_s__beta,&__pyx_n_s__X_data,&__pyx_n_s__X_indices,&__pyx_n_s__X_indptr,&__pyx_n_s__y,&__pyx_n_s__X_mean,&__pyx_n_s__max_iter,&__pyx_n_s__tol,&__pyx_n_s__positive,0};
PyObject* values[11] = {0,0,0,0,0,0,0,0,0,0,0};
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = PyDict_Size(__pyx_kwds);
switch (pos_args) {
case 0:
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__w)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__alpha)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__beta)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 3:
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_data)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 4:
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_indices)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 5:
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_indptr)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 6:
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__y)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 7:
if (likely((values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X_mean)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 8:
if (likely((values[8] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 8); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 9:
if (likely((values[9] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, 9); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 10:
if (kw_args > 0) {
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__positive);
if (value) { values[10] = value; kw_args--; }
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "sparse_enet_coordinate_descent") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
break;
default: goto __pyx_L5_argtuple_error;
}
}
__pyx_v_w = ((PyArrayObject *)values[0]);
__pyx_v_alpha = __pyx_PyFloat_AsDouble(values[1]); if (unlikely((__pyx_v_alpha == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 228; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_beta = __pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_beta == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 228; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_X_data = ((PyArrayObject *)values[3]);
__pyx_v_X_indices = ((PyArrayObject *)values[4]);
__pyx_v_X_indptr = ((PyArrayObject *)values[5]);
__pyx_v_y = ((PyArrayObject *)values[6]);
__pyx_v_X_mean = ((PyArrayObject *)values[7]);
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[8]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 234; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[9]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 234; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
if (values[10]) {
__pyx_v_positive = __Pyx_PyObject_IsTrue(values[10]); if (unlikely((__pyx_v_positive == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 234; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
} else {
/* "sklearn/linear_model/cd_fast.pyx":234
* np.ndarray[DOUBLE, ndim=1] y,
* np.ndarray[DOUBLE, ndim=1] X_mean,
* int max_iter, double tol, bint positive=False): # <<<<<<<<<<<<<<
* """Cython version of the coordinate descent algorithm for Elastic-Net
*
*/
__pyx_v_positive = ((int)0);
}
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("sparse_enet_coordinate_descent", 0, 10, 11, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.sparse_enet_coordinate_descent", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_w), __pyx_ptype_5numpy_ndarray, 1, "w", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_data), __pyx_ptype_5numpy_ndarray, 1, "X_data", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 229; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_indices), __pyx_ptype_5numpy_ndarray, 1, "X_indices", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_indptr), __pyx_ptype_5numpy_ndarray, 1, "X_indptr", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 231; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), __pyx_ptype_5numpy_ndarray, 1, "y", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 232; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X_mean), __pyx_ptype_5numpy_ndarray, 1, "X_mean", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = __pyx_pf_7sklearn_12linear_model_7cd_fast_4sparse_enet_coordinate_descent(__pyx_self, __pyx_v_w, __pyx_v_alpha, __pyx_v_beta, __pyx_v_X_data, __pyx_v_X_indices, __pyx_v_X_indptr, __pyx_v_y, __pyx_v_X_mean, __pyx_v_max_iter, __pyx_v_tol, __pyx_v_positive);
goto __pyx_L0;
__pyx_L1_error:;
__pyx_r = NULL;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":227
* @cython.wraparound(False)
* @cython.cdivision(True)
* def sparse_enet_coordinate_descent(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=1] X_data,
*/
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_4sparse_enet_coordinate_descent(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, PyArrayObject *__pyx_v_X_data, PyArrayObject *__pyx_v_X_indices, PyArrayObject *__pyx_v_X_indptr, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_X_mean, int __pyx_v_max_iter, double __pyx_v_tol, int __pyx_v_positive) {
unsigned int __pyx_v_n_samples;
unsigned int __pyx_v_n_features;
unsigned int __pyx_v_ii;
PyArrayObject *__pyx_v_norm_cols_X = 0;
PyArrayObject *__pyx_v_R = 0;
double __pyx_v_tmp;
double __pyx_v_w_ii;
double __pyx_v_d_w_max;
double __pyx_v_w_max;
double __pyx_v_d_w_ii;
double __pyx_v_X_mean_ii;
double __pyx_v_R_sum;
double __pyx_v_gap;
double __pyx_v_d_w_tol;
unsigned int __pyx_v_jj;
unsigned int __pyx_v_n_iter;
int __pyx_v_center;
PyObject *__pyx_v_X_T_R = NULL;
PyObject *__pyx_v_XtA = NULL;
PyObject *__pyx_v_dual_norm_XtA = NULL;
PyObject *__pyx_v_R_norm2 = NULL;
PyObject *__pyx_v_w_norm2 = NULL;
PyObject *__pyx_v_const = NULL;
PyObject *__pyx_v_A_norm2 = NULL;
__Pyx_LocalBuf_ND __pyx_pybuffernd_R;
__Pyx_Buffer __pyx_pybuffer_R;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_data;
__Pyx_Buffer __pyx_pybuffer_X_data;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_indices;
__Pyx_Buffer __pyx_pybuffer_X_indices;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_indptr;
__Pyx_Buffer __pyx_pybuffer_X_indptr;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X_mean;
__Pyx_Buffer __pyx_pybuffer_X_mean;
__Pyx_LocalBuf_ND __pyx_pybuffernd_norm_cols_X;
__Pyx_Buffer __pyx_pybuffer_norm_cols_X;
__Pyx_LocalBuf_ND __pyx_pybuffernd_w;
__Pyx_Buffer __pyx_pybuffer_w;
__Pyx_LocalBuf_ND __pyx_pybuffernd_y;
__Pyx_Buffer __pyx_pybuffer_y;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
PyObject *__pyx_t_2 = NULL;
PyObject *__pyx_t_3 = NULL;
PyObject *__pyx_t_4 = NULL;
PyArrayObject *__pyx_t_5 = NULL;
unsigned int __pyx_t_6;
unsigned int __pyx_t_7;
unsigned int __pyx_t_8;
long __pyx_t_9;
unsigned int __pyx_t_10;
long __pyx_t_11;
unsigned int __pyx_t_12;
unsigned int __pyx_t_13;
__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE __pyx_t_14;
unsigned int __pyx_t_15;
int __pyx_t_16;
PyArrayObject *__pyx_t_17 = NULL;
int __pyx_t_18;
PyObject *__pyx_t_19 = NULL;
PyObject *__pyx_t_20 = NULL;
PyObject *__pyx_t_21 = NULL;
long __pyx_t_22;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_23;
unsigned int __pyx_t_24;
unsigned int __pyx_t_25;
unsigned int __pyx_t_26;
unsigned int __pyx_t_27;
unsigned int __pyx_t_28;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_29;
unsigned int __pyx_t_30;
double __pyx_t_31;
unsigned int __pyx_t_32;
unsigned int __pyx_t_33;
unsigned int __pyx_t_34;
unsigned int __pyx_t_35;
long __pyx_t_36;
unsigned int __pyx_t_37;
unsigned int __pyx_t_38;
unsigned int __pyx_t_39;
unsigned int __pyx_t_40;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_41;
unsigned int __pyx_t_42;
unsigned int __pyx_t_43;
unsigned int __pyx_t_44;
long __pyx_t_45;
unsigned int __pyx_t_46;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_47;
unsigned int __pyx_t_48;
unsigned int __pyx_t_49;
unsigned int __pyx_t_50;
int __pyx_t_51;
unsigned int __pyx_t_52;
unsigned int __pyx_t_53;
long __pyx_t_54;
unsigned int __pyx_t_55;
unsigned int __pyx_t_56;
unsigned int __pyx_t_57;
unsigned int __pyx_t_58;
unsigned int __pyx_t_59;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_60;
unsigned int __pyx_t_61;
unsigned int __pyx_t_62;
unsigned int __pyx_t_63;
unsigned int __pyx_t_64;
int __pyx_t_65;
int __pyx_t_66;
long __pyx_t_67;
unsigned int __pyx_t_68;
unsigned int __pyx_t_69;
unsigned int __pyx_t_70;
unsigned int __pyx_t_71;
unsigned int __pyx_t_72;
__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER __pyx_t_73;
PyObject *__pyx_t_74 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("sparse_enet_coordinate_descent", 0);
__pyx_pybuffer_norm_cols_X.pybuffer.buf = NULL;
__pyx_pybuffer_norm_cols_X.refcount = 0;
__pyx_pybuffernd_norm_cols_X.data = NULL;
__pyx_pybuffernd_norm_cols_X.rcbuffer = &__pyx_pybuffer_norm_cols_X;
__pyx_pybuffer_R.pybuffer.buf = NULL;
__pyx_pybuffer_R.refcount = 0;
__pyx_pybuffernd_R.data = NULL;
__pyx_pybuffernd_R.rcbuffer = &__pyx_pybuffer_R;
__pyx_pybuffer_w.pybuffer.buf = NULL;
__pyx_pybuffer_w.refcount = 0;
__pyx_pybuffernd_w.data = NULL;
__pyx_pybuffernd_w.rcbuffer = &__pyx_pybuffer_w;
__pyx_pybuffer_X_data.pybuffer.buf = NULL;
__pyx_pybuffer_X_data.refcount = 0;
__pyx_pybuffernd_X_data.data = NULL;
__pyx_pybuffernd_X_data.rcbuffer = &__pyx_pybuffer_X_data;
__pyx_pybuffer_X_indices.pybuffer.buf = NULL;
__pyx_pybuffer_X_indices.refcount = 0;
__pyx_pybuffernd_X_indices.data = NULL;
__pyx_pybuffernd_X_indices.rcbuffer = &__pyx_pybuffer_X_indices;
__pyx_pybuffer_X_indptr.pybuffer.buf = NULL;
__pyx_pybuffer_X_indptr.refcount = 0;
__pyx_pybuffernd_X_indptr.data = NULL;
__pyx_pybuffernd_X_indptr.rcbuffer = &__pyx_pybuffer_X_indptr;
__pyx_pybuffer_y.pybuffer.buf = NULL;
__pyx_pybuffer_y.refcount = 0;
__pyx_pybuffernd_y.data = NULL;
__pyx_pybuffernd_y.rcbuffer = &__pyx_pybuffer_y;
__pyx_pybuffer_X_mean.pybuffer.buf = NULL;
__pyx_pybuffer_X_mean.refcount = 0;
__pyx_pybuffernd_X_mean.data = NULL;
__pyx_pybuffernd_X_mean.rcbuffer = &__pyx_pybuffer_X_mean;
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_w.rcbuffer->pybuffer, (PyObject*)__pyx_v_w, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_w.diminfo[0].strides = __pyx_pybuffernd_w.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_w.diminfo[0].shape = __pyx_pybuffernd_w.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_data.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_data, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_data.diminfo[0].strides = __pyx_pybuffernd_X_data.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_data.diminfo[0].shape = __pyx_pybuffernd_X_data.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_indices.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_indices, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_indices.diminfo[0].strides = __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_indices.diminfo[0].shape = __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_indptr.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_indptr, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_indptr.diminfo[0].strides = __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_indptr.diminfo[0].shape = __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_y.rcbuffer->pybuffer, (PyObject*)__pyx_v_y, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_y.diminfo[0].strides = __pyx_pybuffernd_y.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_y.diminfo[0].shape = __pyx_pybuffernd_y.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer, (PyObject*)__pyx_v_X_mean, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X_mean.diminfo[0].strides = __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X_mean.diminfo[0].shape = __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.shape[0];
/* "sklearn/linear_model/cd_fast.pyx":246
*
* # get the data information into easy vars
* cdef unsigned int n_samples = y.shape[0] # <<<<<<<<<<<<<<
* cdef unsigned int n_features = w.shape[0]
*
*/
__pyx_v_n_samples = (__pyx_v_y->dimensions[0]);
/* "sklearn/linear_model/cd_fast.pyx":247
* # get the data information into easy vars
* cdef unsigned int n_samples = y.shape[0]
* cdef unsigned int n_features = w.shape[0] # <<<<<<<<<<<<<<
*
* # compute norms of the columns of X
*/
__pyx_v_n_features = (__pyx_v_w->dimensions[0]);
/* "sklearn/linear_model/cd_fast.pyx":251
* # compute norms of the columns of X
* cdef unsigned int ii
* cdef np.ndarray[DOUBLE, ndim = 1] norm_cols_X = np.zeros(n_features, # <<<<<<<<<<<<<<
* np.float64)
* for ii in xrange(n_features):
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__zeros); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyLong_FromUnsignedLong(__pyx_v_n_features); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
/* "sklearn/linear_model/cd_fast.pyx":252
* cdef unsigned int ii
* cdef np.ndarray[DOUBLE, ndim = 1] norm_cols_X = np.zeros(n_features,
* np.float64) # <<<<<<<<<<<<<<
* for ii in xrange(n_features):
* norm_cols_X[ii] = ((X_data[X_indptr[ii]:X_indptr[ii + 1]] - \
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 252; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_4 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__float64); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 252; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_4);
__Pyx_GIVEREF(__pyx_t_4);
__pyx_t_1 = 0;
__pyx_t_4 = 0;
__pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_5 = ((PyArrayObject *)__pyx_t_4);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {
__pyx_v_norm_cols_X = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 251; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_norm_cols_X.diminfo[0].strides = __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_norm_cols_X.diminfo[0].shape = __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_5 = 0;
__pyx_v_norm_cols_X = ((PyArrayObject *)__pyx_t_4);
__pyx_t_4 = 0;
/* "sklearn/linear_model/cd_fast.pyx":253
* cdef np.ndarray[DOUBLE, ndim = 1] norm_cols_X = np.zeros(n_features,
* np.float64)
* for ii in xrange(n_features): # <<<<<<<<<<<<<<
* norm_cols_X[ii] = ((X_data[X_indptr[ii]:X_indptr[ii + 1]] - \
* X_mean[ii]) ** 2).sum() + \
*/
__pyx_t_6 = __pyx_v_n_features;
for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
__pyx_v_ii = __pyx_t_7;
/* "sklearn/linear_model/cd_fast.pyx":254
* np.float64)
* for ii in xrange(n_features):
* norm_cols_X[ii] = ((X_data[X_indptr[ii]:X_indptr[ii + 1]] - \ # <<<<<<<<<<<<<<
* X_mean[ii]) ** 2).sum() + \
* (n_samples - X_indptr[ii + 1] + X_indptr[ii]) * X_mean[ii] ** 2
*/
__pyx_t_8 = __pyx_v_ii;
__pyx_t_9 = (__pyx_v_ii + 1);
__pyx_t_4 = __Pyx_PySequence_GetSlice(((PyObject *)__pyx_v_X_data), (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_X_indptr.diminfo[0].strides)), (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_9, __pyx_pybuffernd_X_indptr.diminfo[0].strides))); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 254; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
/* "sklearn/linear_model/cd_fast.pyx":255
* for ii in xrange(n_features):
* norm_cols_X[ii] = ((X_data[X_indptr[ii]:X_indptr[ii + 1]] - \
* X_mean[ii]) ** 2).sum() + \ # <<<<<<<<<<<<<<
* (n_samples - X_indptr[ii + 1] + X_indptr[ii]) * X_mean[ii] ** 2
*
*/
__pyx_t_10 = __pyx_v_ii;
__pyx_t_3 = PyFloat_FromDouble((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_10, __pyx_pybuffernd_X_mean.diminfo[0].strides))); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyNumber_Subtract(__pyx_t_4, __pyx_t_3); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 254; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Power(__pyx_t_2, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__sum); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":256
* norm_cols_X[ii] = ((X_data[X_indptr[ii]:X_indptr[ii + 1]] - \
* X_mean[ii]) ** 2).sum() + \
* (n_samples - X_indptr[ii + 1] + X_indptr[ii]) * X_mean[ii] ** 2 # <<<<<<<<<<<<<<
*
* # initial value of the residuals
*/
__pyx_t_11 = (__pyx_v_ii + 1);
__pyx_t_12 = __pyx_v_ii;
__pyx_t_13 = __pyx_v_ii;
__pyx_t_2 = PyFloat_FromDouble((((__pyx_v_n_samples - (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_11, __pyx_pybuffernd_X_indptr.diminfo[0].strides))) + (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_12, __pyx_pybuffernd_X_indptr.diminfo[0].strides))) * pow((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_13, __pyx_pybuffernd_X_mean.diminfo[0].strides)), 2.0))); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 256; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_4 = PyNumber_Add(__pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_14 = __pyx_PyFloat_AsDouble(__pyx_t_4); if (unlikely((__pyx_t_14 == (npy_float64)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 255; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
/* "sklearn/linear_model/cd_fast.pyx":254
* np.float64)
* for ii in xrange(n_features):
* norm_cols_X[ii] = ((X_data[X_indptr[ii]:X_indptr[ii + 1]] - \ # <<<<<<<<<<<<<<
* X_mean[ii]) ** 2).sum() + \
* (n_samples - X_indptr[ii + 1] + X_indptr[ii]) * X_mean[ii] ** 2
*/
__pyx_t_15 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_15, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides) = __pyx_t_14;
}
/* "sklearn/linear_model/cd_fast.pyx":268
* cdef double X_mean_ii
* cdef double R_sum
* cdef double gap = tol + 1.0 # <<<<<<<<<<<<<<
* cdef double d_w_tol = tol
* cdef unsigned int jj
*/
__pyx_v_gap = (__pyx_v_tol + 1.0);
/* "sklearn/linear_model/cd_fast.pyx":269
* cdef double R_sum
* cdef double gap = tol + 1.0
* cdef double d_w_tol = tol # <<<<<<<<<<<<<<
* cdef unsigned int jj
* cdef unsigned int n_iter
*/
__pyx_v_d_w_tol = __pyx_v_tol;
/* "sklearn/linear_model/cd_fast.pyx":272
* cdef unsigned int jj
* cdef unsigned int n_iter
* cdef bint center = (X_mean != 0).any() # <<<<<<<<<<<<<<
*
* # initialize the residuals
*/
__pyx_t_4 = PyObject_RichCompare(((PyObject *)__pyx_v_X_mean), __pyx_int_0, Py_NE); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 272; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_2 = PyObject_GetAttr(__pyx_t_4, __pyx_n_s__any); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 272; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 272; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_16 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely((__pyx_t_16 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 272; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__pyx_v_center = __pyx_t_16;
/* "sklearn/linear_model/cd_fast.pyx":275
*
* # initialize the residuals
* R = y.copy() # <<<<<<<<<<<<<<
*
* for ii in xrange(n_features):
*/
__pyx_t_4 = PyObject_GetAttr(((PyObject *)__pyx_v_y), __pyx_n_s__copy); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_2 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_17 = ((PyArrayObject *)__pyx_t_2);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack);
if (unlikely(__pyx_t_18 < 0)) {
PyErr_Fetch(&__pyx_t_19, &__pyx_t_20, &__pyx_t_21);
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_v_R, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {
Py_XDECREF(__pyx_t_19); Py_XDECREF(__pyx_t_20); Py_XDECREF(__pyx_t_21);
__Pyx_RaiseBufferFallbackError();
} else {
PyErr_Restore(__pyx_t_19, __pyx_t_20, __pyx_t_21);
}
}
__pyx_pybuffernd_R.diminfo[0].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_R.diminfo[0].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[0];
if (unlikely(__pyx_t_18 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_17 = 0;
__pyx_v_R = ((PyArrayObject *)__pyx_t_2);
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":277
* R = y.copy()
*
* for ii in xrange(n_features): # <<<<<<<<<<<<<<
* # sparse X column / dense w dot product
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
*/
__pyx_t_6 = __pyx_v_n_features;
for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
__pyx_v_ii = __pyx_t_7;
/* "sklearn/linear_model/cd_fast.pyx":279
* for ii in xrange(n_features):
* # sparse X column / dense w dot product
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* R[X_indices[jj]] -= X_data[jj] * w[ii]
* if center:
*/
__pyx_t_22 = (__pyx_v_ii + 1);
__pyx_t_23 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_24 = __pyx_v_ii;
for (__pyx_t_25 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_25 < __pyx_t_23; __pyx_t_25+=1) {
__pyx_v_jj = __pyx_t_25;
/* "sklearn/linear_model/cd_fast.pyx":280
* # sparse X column / dense w dot product
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* R[X_indices[jj]] -= X_data[jj] * w[ii] # <<<<<<<<<<<<<<
* if center:
* R += X_mean[ii] * w[ii]
*/
__pyx_t_26 = __pyx_v_jj;
__pyx_t_27 = __pyx_v_ii;
__pyx_t_28 = __pyx_v_jj;
__pyx_t_29 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_X_indices.diminfo[0].strides));
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_29, __pyx_pybuffernd_R.diminfo[0].strides) -= ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_26, __pyx_pybuffernd_X_data.diminfo[0].strides)) * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_w.diminfo[0].strides)));
}
/* "sklearn/linear_model/cd_fast.pyx":281
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* R[X_indices[jj]] -= X_data[jj] * w[ii]
* if center: # <<<<<<<<<<<<<<
* R += X_mean[ii] * w[ii]
*
*/
if (__pyx_v_center) {
/* "sklearn/linear_model/cd_fast.pyx":282
* R[X_indices[jj]] -= X_data[jj] * w[ii]
* if center:
* R += X_mean[ii] * w[ii] # <<<<<<<<<<<<<<
*
* tol = tol * np.dot(y, y)
*/
__pyx_t_25 = __pyx_v_ii;
__pyx_t_30 = __pyx_v_ii;
__pyx_t_2 = PyFloat_FromDouble(((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_X_mean.diminfo[0].strides)) * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_30, __pyx_pybuffernd_w.diminfo[0].strides)))); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_4 = PyNumber_InPlaceAdd(((PyObject *)__pyx_v_R), __pyx_t_2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_17 = ((PyArrayObject *)__pyx_t_4);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack);
if (unlikely(__pyx_t_18 < 0)) {
PyErr_Fetch(&__pyx_t_21, &__pyx_t_20, &__pyx_t_19);
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_v_R, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {
Py_XDECREF(__pyx_t_21); Py_XDECREF(__pyx_t_20); Py_XDECREF(__pyx_t_19);
__Pyx_RaiseBufferFallbackError();
} else {
PyErr_Restore(__pyx_t_21, __pyx_t_20, __pyx_t_19);
}
}
__pyx_pybuffernd_R.diminfo[0].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_R.diminfo[0].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[0];
if (unlikely(__pyx_t_18 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_17 = 0;
__Pyx_DECREF(((PyObject *)__pyx_v_R));
__pyx_v_R = ((PyArrayObject *)__pyx_t_4);
__pyx_t_4 = 0;
goto __pyx_L9;
}
__pyx_L9:;
}
/* "sklearn/linear_model/cd_fast.pyx":284
* R += X_mean[ii] * w[ii]
*
* tol = tol * np.dot(y, y) # <<<<<<<<<<<<<<
*
* for n_iter in range(max_iter):
*/
__pyx_t_4 = PyFloat_FromDouble(__pyx_v_tol); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__dot); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_2, 1, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__pyx_t_1 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Multiply(__pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_31 = __pyx_PyFloat_AsDouble(__pyx_t_2); if (unlikely((__pyx_t_31 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_tol = __pyx_t_31;
/* "sklearn/linear_model/cd_fast.pyx":286
* tol = tol * np.dot(y, y)
*
* for n_iter in range(max_iter): # <<<<<<<<<<<<<<
*
* w_max = 0.0
*/
__pyx_t_18 = __pyx_v_max_iter;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_18; __pyx_t_6+=1) {
__pyx_v_n_iter = __pyx_t_6;
/* "sklearn/linear_model/cd_fast.pyx":288
* for n_iter in range(max_iter):
*
* w_max = 0.0 # <<<<<<<<<<<<<<
* d_w_max = 0.0
*
*/
__pyx_v_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":289
*
* w_max = 0.0
* d_w_max = 0.0 # <<<<<<<<<<<<<<
*
* for ii in xrange(n_features): # Loop over coordinates
*/
__pyx_v_d_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":291
* d_w_max = 0.0
*
* for ii in xrange(n_features): # Loop over coordinates # <<<<<<<<<<<<<<
*
* if norm_cols_X[ii] == 0.0:
*/
__pyx_t_7 = __pyx_v_n_features;
for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_7; __pyx_t_32+=1) {
__pyx_v_ii = __pyx_t_32;
/* "sklearn/linear_model/cd_fast.pyx":293
* for ii in xrange(n_features): # Loop over coordinates
*
* if norm_cols_X[ii] == 0.0: # <<<<<<<<<<<<<<
* continue
*
*/
__pyx_t_33 = __pyx_v_ii;
__pyx_t_16 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_33, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides)) == 0.0);
if (__pyx_t_16) {
/* "sklearn/linear_model/cd_fast.pyx":294
*
* if norm_cols_X[ii] == 0.0:
* continue # <<<<<<<<<<<<<<
*
* w_ii = w[ii] # Store previous value
*/
goto __pyx_L12_continue;
goto __pyx_L14;
}
__pyx_L14:;
/* "sklearn/linear_model/cd_fast.pyx":296
* continue
*
* w_ii = w[ii] # Store previous value # <<<<<<<<<<<<<<
* X_mean_ii = X_mean[ii]
*
*/
__pyx_t_34 = __pyx_v_ii;
__pyx_v_w_ii = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_34, __pyx_pybuffernd_w.diminfo[0].strides));
/* "sklearn/linear_model/cd_fast.pyx":297
*
* w_ii = w[ii] # Store previous value
* X_mean_ii = X_mean[ii] # <<<<<<<<<<<<<<
*
* if w_ii != 0.0:
*/
__pyx_t_35 = __pyx_v_ii;
__pyx_v_X_mean_ii = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_35, __pyx_pybuffernd_X_mean.diminfo[0].strides));
/* "sklearn/linear_model/cd_fast.pyx":299
* X_mean_ii = X_mean[ii]
*
* if w_ii != 0.0: # <<<<<<<<<<<<<<
* # R += w_ii * X[:,ii]
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
*/
__pyx_t_16 = (__pyx_v_w_ii != 0.0);
if (__pyx_t_16) {
/* "sklearn/linear_model/cd_fast.pyx":301
* if w_ii != 0.0:
* # R += w_ii * X[:,ii]
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* R[X_indices[jj]] += X_data[jj] * w_ii
* if center:
*/
__pyx_t_36 = (__pyx_v_ii + 1);
__pyx_t_23 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_37 = __pyx_v_ii;
for (__pyx_t_38 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_37, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_38 < __pyx_t_23; __pyx_t_38+=1) {
__pyx_v_jj = __pyx_t_38;
/* "sklearn/linear_model/cd_fast.pyx":302
* # R += w_ii * X[:,ii]
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* R[X_indices[jj]] += X_data[jj] * w_ii # <<<<<<<<<<<<<<
* if center:
* for jj in xrange(n_samples):
*/
__pyx_t_39 = __pyx_v_jj;
__pyx_t_40 = __pyx_v_jj;
__pyx_t_41 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.buf, __pyx_t_40, __pyx_pybuffernd_X_indices.diminfo[0].strides));
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_41, __pyx_pybuffernd_R.diminfo[0].strides) += ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_39, __pyx_pybuffernd_X_data.diminfo[0].strides)) * __pyx_v_w_ii);
}
/* "sklearn/linear_model/cd_fast.pyx":303
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* R[X_indices[jj]] += X_data[jj] * w_ii
* if center: # <<<<<<<<<<<<<<
* for jj in xrange(n_samples):
* R[jj] -= X_mean_ii * w[ii]
*/
if (__pyx_v_center) {
/* "sklearn/linear_model/cd_fast.pyx":304
* R[X_indices[jj]] += X_data[jj] * w_ii
* if center:
* for jj in xrange(n_samples): # <<<<<<<<<<<<<<
* R[jj] -= X_mean_ii * w[ii]
*
*/
__pyx_t_38 = __pyx_v_n_samples;
for (__pyx_t_42 = 0; __pyx_t_42 < __pyx_t_38; __pyx_t_42+=1) {
__pyx_v_jj = __pyx_t_42;
/* "sklearn/linear_model/cd_fast.pyx":305
* if center:
* for jj in xrange(n_samples):
* R[jj] -= X_mean_ii * w[ii] # <<<<<<<<<<<<<<
*
* # tmp = (X[:,ii] * R).sum()
*/
__pyx_t_43 = __pyx_v_ii;
__pyx_t_44 = __pyx_v_jj;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_44, __pyx_pybuffernd_R.diminfo[0].strides) -= (__pyx_v_X_mean_ii * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_43, __pyx_pybuffernd_w.diminfo[0].strides)));
}
goto __pyx_L18;
}
__pyx_L18:;
goto __pyx_L15;
}
__pyx_L15:;
/* "sklearn/linear_model/cd_fast.pyx":308
*
* # tmp = (X[:,ii] * R).sum()
* tmp = 0.0 # <<<<<<<<<<<<<<
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* tmp += R[X_indices[jj]] * X_data[jj]
*/
__pyx_v_tmp = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":309
* # tmp = (X[:,ii] * R).sum()
* tmp = 0.0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* tmp += R[X_indices[jj]] * X_data[jj]
*
*/
__pyx_t_45 = (__pyx_v_ii + 1);
__pyx_t_23 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_45, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_38 = __pyx_v_ii;
for (__pyx_t_42 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_38, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_42 < __pyx_t_23; __pyx_t_42+=1) {
__pyx_v_jj = __pyx_t_42;
/* "sklearn/linear_model/cd_fast.pyx":310
* tmp = 0.0
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* tmp += R[X_indices[jj]] * X_data[jj] # <<<<<<<<<<<<<<
*
* if center:
*/
__pyx_t_46 = __pyx_v_jj;
__pyx_t_47 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.buf, __pyx_t_46, __pyx_pybuffernd_X_indices.diminfo[0].strides));
__pyx_t_48 = __pyx_v_jj;
__pyx_v_tmp = (__pyx_v_tmp + ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_47, __pyx_pybuffernd_R.diminfo[0].strides)) * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_48, __pyx_pybuffernd_X_data.diminfo[0].strides))));
}
/* "sklearn/linear_model/cd_fast.pyx":312
* tmp += R[X_indices[jj]] * X_data[jj]
*
* if center: # <<<<<<<<<<<<<<
* R_sum = 0.0
* for jj in xrange(n_samples):
*/
if (__pyx_v_center) {
/* "sklearn/linear_model/cd_fast.pyx":313
*
* if center:
* R_sum = 0.0 # <<<<<<<<<<<<<<
* for jj in xrange(n_samples):
* R_sum += R[jj]
*/
__pyx_v_R_sum = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":314
* if center:
* R_sum = 0.0
* for jj in xrange(n_samples): # <<<<<<<<<<<<<<
* R_sum += R[jj]
* tmp -= R_sum * X_mean_ii
*/
__pyx_t_42 = __pyx_v_n_samples;
for (__pyx_t_49 = 0; __pyx_t_49 < __pyx_t_42; __pyx_t_49+=1) {
__pyx_v_jj = __pyx_t_49;
/* "sklearn/linear_model/cd_fast.pyx":315
* R_sum = 0.0
* for jj in xrange(n_samples):
* R_sum += R[jj] # <<<<<<<<<<<<<<
* tmp -= R_sum * X_mean_ii
*
*/
__pyx_t_50 = __pyx_v_jj;
__pyx_v_R_sum = (__pyx_v_R_sum + (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_50, __pyx_pybuffernd_R.diminfo[0].strides)));
}
/* "sklearn/linear_model/cd_fast.pyx":316
* for jj in xrange(n_samples):
* R_sum += R[jj]
* tmp -= R_sum * X_mean_ii # <<<<<<<<<<<<<<
*
* if positive and tmp < 0.0:
*/
__pyx_v_tmp = (__pyx_v_tmp - (__pyx_v_R_sum * __pyx_v_X_mean_ii));
goto __pyx_L23;
}
__pyx_L23:;
/* "sklearn/linear_model/cd_fast.pyx":318
* tmp -= R_sum * X_mean_ii
*
* if positive and tmp < 0.0: # <<<<<<<<<<<<<<
* w[ii] = 0.0
* else:
*/
if (__pyx_v_positive) {
__pyx_t_16 = (__pyx_v_tmp < 0.0);
__pyx_t_51 = __pyx_t_16;
} else {
__pyx_t_51 = __pyx_v_positive;
}
if (__pyx_t_51) {
/* "sklearn/linear_model/cd_fast.pyx":319
*
* if positive and tmp < 0.0:
* w[ii] = 0.0 # <<<<<<<<<<<<<<
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \
*/
__pyx_t_42 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_42, __pyx_pybuffernd_w.diminfo[0].strides) = 0.0;
goto __pyx_L26;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":322
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \
* / (norm_cols_X[ii] + beta) # <<<<<<<<<<<<<<
*
* if w[ii] != 0.0:
*/
__pyx_t_49 = __pyx_v_ii;
/* "sklearn/linear_model/cd_fast.pyx":321
* w[ii] = 0.0
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \ # <<<<<<<<<<<<<<
* / (norm_cols_X[ii] + beta)
*
*/
__pyx_t_52 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_52, __pyx_pybuffernd_w.diminfo[0].strides) = ((__pyx_f_7sklearn_12linear_model_7cd_fast_fsign(__pyx_v_tmp) * __pyx_f_7sklearn_12linear_model_7cd_fast_fmax((fabs(__pyx_v_tmp) - __pyx_v_alpha), 0.0)) / ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_49, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides)) + __pyx_v_beta));
}
__pyx_L26:;
/* "sklearn/linear_model/cd_fast.pyx":324
* / (norm_cols_X[ii] + beta)
*
* if w[ii] != 0.0: # <<<<<<<<<<<<<<
* # R -= w[ii] * X[:,ii] # Update residual
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
*/
__pyx_t_53 = __pyx_v_ii;
__pyx_t_51 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_53, __pyx_pybuffernd_w.diminfo[0].strides)) != 0.0);
if (__pyx_t_51) {
/* "sklearn/linear_model/cd_fast.pyx":326
* if w[ii] != 0.0:
* # R -= w[ii] * X[:,ii] # Update residual
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* R[X_indices[jj]] -= X_data[jj] * w[ii]
*
*/
__pyx_t_54 = (__pyx_v_ii + 1);
__pyx_t_23 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_54, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_55 = __pyx_v_ii;
for (__pyx_t_56 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_55, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_56 < __pyx_t_23; __pyx_t_56+=1) {
__pyx_v_jj = __pyx_t_56;
/* "sklearn/linear_model/cd_fast.pyx":327
* # R -= w[ii] * X[:,ii] # Update residual
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* R[X_indices[jj]] -= X_data[jj] * w[ii] # <<<<<<<<<<<<<<
*
* if center:
*/
__pyx_t_57 = __pyx_v_jj;
__pyx_t_58 = __pyx_v_ii;
__pyx_t_59 = __pyx_v_jj;
__pyx_t_60 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.buf, __pyx_t_59, __pyx_pybuffernd_X_indices.diminfo[0].strides));
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_60, __pyx_pybuffernd_R.diminfo[0].strides) -= ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_57, __pyx_pybuffernd_X_data.diminfo[0].strides)) * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_58, __pyx_pybuffernd_w.diminfo[0].strides)));
}
/* "sklearn/linear_model/cd_fast.pyx":329
* R[X_indices[jj]] -= X_data[jj] * w[ii]
*
* if center: # <<<<<<<<<<<<<<
* for jj in xrange(n_samples):
* R[jj] += X_mean_ii * w[ii]
*/
if (__pyx_v_center) {
/* "sklearn/linear_model/cd_fast.pyx":330
*
* if center:
* for jj in xrange(n_samples): # <<<<<<<<<<<<<<
* R[jj] += X_mean_ii * w[ii]
*
*/
__pyx_t_56 = __pyx_v_n_samples;
for (__pyx_t_61 = 0; __pyx_t_61 < __pyx_t_56; __pyx_t_61+=1) {
__pyx_v_jj = __pyx_t_61;
/* "sklearn/linear_model/cd_fast.pyx":331
* if center:
* for jj in xrange(n_samples):
* R[jj] += X_mean_ii * w[ii] # <<<<<<<<<<<<<<
*
* # update the maximum absolute coefficient update
*/
__pyx_t_62 = __pyx_v_ii;
__pyx_t_63 = __pyx_v_jj;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_63, __pyx_pybuffernd_R.diminfo[0].strides) += (__pyx_v_X_mean_ii * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_62, __pyx_pybuffernd_w.diminfo[0].strides)));
}
goto __pyx_L30;
}
__pyx_L30:;
goto __pyx_L27;
}
__pyx_L27:;
/* "sklearn/linear_model/cd_fast.pyx":334
*
* # update the maximum absolute coefficient update
* d_w_ii = fabs(w[ii] - w_ii) # <<<<<<<<<<<<<<
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii
*/
__pyx_t_56 = __pyx_v_ii;
__pyx_v_d_w_ii = fabs(((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_56, __pyx_pybuffernd_w.diminfo[0].strides)) - __pyx_v_w_ii));
/* "sklearn/linear_model/cd_fast.pyx":335
* # update the maximum absolute coefficient update
* d_w_ii = fabs(w[ii] - w_ii)
* if d_w_ii > d_w_max: # <<<<<<<<<<<<<<
* d_w_max = d_w_ii
*
*/
__pyx_t_51 = (__pyx_v_d_w_ii > __pyx_v_d_w_max);
if (__pyx_t_51) {
/* "sklearn/linear_model/cd_fast.pyx":336
* d_w_ii = fabs(w[ii] - w_ii)
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii # <<<<<<<<<<<<<<
*
* if w[ii] > w_max:
*/
__pyx_v_d_w_max = __pyx_v_d_w_ii;
goto __pyx_L33;
}
__pyx_L33:;
/* "sklearn/linear_model/cd_fast.pyx":338
* d_w_max = d_w_ii
*
* if w[ii] > w_max: # <<<<<<<<<<<<<<
* w_max = w[ii]
*
*/
__pyx_t_61 = __pyx_v_ii;
__pyx_t_51 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_61, __pyx_pybuffernd_w.diminfo[0].strides)) > __pyx_v_w_max);
if (__pyx_t_51) {
/* "sklearn/linear_model/cd_fast.pyx":339
*
* if w[ii] > w_max:
* w_max = w[ii] # <<<<<<<<<<<<<<
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1:
*/
__pyx_t_64 = __pyx_v_ii;
__pyx_v_w_max = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_64, __pyx_pybuffernd_w.diminfo[0].strides));
goto __pyx_L34;
}
__pyx_L34:;
__pyx_L12_continue:;
}
/* "sklearn/linear_model/cd_fast.pyx":341
* w_max = w[ii]
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1: # <<<<<<<<<<<<<<
* # the biggest coordinate update of this iteration was smaller than
* # the tolerance: check the duality gap as ultimate stopping
*/
__pyx_t_51 = (__pyx_v_w_max == 0.0);
if (!__pyx_t_51) {
__pyx_t_16 = ((__pyx_v_d_w_max / __pyx_v_w_max) < __pyx_v_d_w_tol);
if (!__pyx_t_16) {
__pyx_t_65 = (__pyx_v_n_iter == (__pyx_v_max_iter - 1));
__pyx_t_66 = __pyx_t_65;
} else {
__pyx_t_66 = __pyx_t_16;
}
__pyx_t_16 = __pyx_t_66;
} else {
__pyx_t_16 = __pyx_t_51;
}
if (__pyx_t_16) {
/* "sklearn/linear_model/cd_fast.pyx":347
*
* # sparse X.T / dense R dot product
* X_T_R = np.zeros(n_features) # <<<<<<<<<<<<<<
* for ii in xrange(n_features):
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 347; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__zeros); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 347; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyLong_FromUnsignedLong(__pyx_v_n_features); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 347; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 347; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
__pyx_t_2 = 0;
__pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 347; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0;
__Pyx_XDECREF(__pyx_v_X_T_R);
__pyx_v_X_T_R = __pyx_t_2;
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":348
* # sparse X.T / dense R dot product
* X_T_R = np.zeros(n_features)
* for ii in xrange(n_features): # <<<<<<<<<<<<<<
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* X_T_R[ii] += X_data[jj] * R[X_indices[jj]]
*/
__pyx_t_7 = __pyx_v_n_features;
for (__pyx_t_32 = 0; __pyx_t_32 < __pyx_t_7; __pyx_t_32+=1) {
__pyx_v_ii = __pyx_t_32;
/* "sklearn/linear_model/cd_fast.pyx":349
* X_T_R = np.zeros(n_features)
* for ii in xrange(n_features):
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]): # <<<<<<<<<<<<<<
* X_T_R[ii] += X_data[jj] * R[X_indices[jj]]
* X_T_R[ii] -= X_mean[ii] * R.sum()
*/
__pyx_t_67 = (__pyx_v_ii + 1);
__pyx_t_23 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_67, __pyx_pybuffernd_X_indptr.diminfo[0].strides));
__pyx_t_68 = __pyx_v_ii;
for (__pyx_t_69 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indptr.rcbuffer->pybuffer.buf, __pyx_t_68, __pyx_pybuffernd_X_indptr.diminfo[0].strides)); __pyx_t_69 < __pyx_t_23; __pyx_t_69+=1) {
__pyx_v_jj = __pyx_t_69;
/* "sklearn/linear_model/cd_fast.pyx":350
* for ii in xrange(n_features):
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* X_T_R[ii] += X_data[jj] * R[X_indices[jj]] # <<<<<<<<<<<<<<
* X_T_R[ii] -= X_mean[ii] * R.sum()
*
*/
__pyx_t_70 = __pyx_v_ii;
__pyx_t_2 = __Pyx_GetItemInt(__pyx_v_X_T_R, __pyx_t_70, sizeof(unsigned int)+1, PyLong_FromUnsignedLong); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 350; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_71 = __pyx_v_jj;
__pyx_t_72 = __pyx_v_jj;
__pyx_t_73 = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_INTEGER *, __pyx_pybuffernd_X_indices.rcbuffer->pybuffer.buf, __pyx_t_72, __pyx_pybuffernd_X_indices.diminfo[0].strides));
__pyx_t_4 = PyFloat_FromDouble(((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_data.rcbuffer->pybuffer.buf, __pyx_t_71, __pyx_pybuffernd_X_data.diminfo[0].strides)) * (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_R.rcbuffer->pybuffer.buf, __pyx_t_73, __pyx_pybuffernd_R.diminfo[0].strides)))); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 350; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_1 = PyNumber_InPlaceAdd(__pyx_t_2, __pyx_t_4); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 350; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
if (__Pyx_SetItemInt(__pyx_v_X_T_R, __pyx_t_70, __pyx_t_1, sizeof(unsigned int)+1, PyLong_FromUnsignedLong) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 350; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
}
/* "sklearn/linear_model/cd_fast.pyx":351
* for jj in xrange(X_indptr[ii], X_indptr[ii + 1]):
* X_T_R[ii] += X_data[jj] * R[X_indices[jj]]
* X_T_R[ii] -= X_mean[ii] * R.sum() # <<<<<<<<<<<<<<
*
* XtA = X_T_R - beta * w
*/
__pyx_t_69 = __pyx_v_ii;
__pyx_t_1 = __Pyx_GetItemInt(__pyx_v_X_T_R, __pyx_t_69, sizeof(unsigned int)+1, PyLong_FromUnsignedLong); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_70 = __pyx_v_ii;
__pyx_t_4 = PyFloat_FromDouble((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_X_mean.rcbuffer->pybuffer.buf, __pyx_t_70, __pyx_pybuffernd_X_mean.diminfo[0].strides))); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_2 = PyObject_GetAttr(((PyObject *)__pyx_v_R), __pyx_n_s__sum); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Multiply(__pyx_t_4, __pyx_t_3); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_InPlaceSubtract(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
if (__Pyx_SetItemInt(__pyx_v_X_T_R, __pyx_t_69, __pyx_t_3, sizeof(unsigned int)+1, PyLong_FromUnsignedLong) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 351; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
}
/* "sklearn/linear_model/cd_fast.pyx":353
* X_T_R[ii] -= X_mean[ii] * R.sum()
*
* XtA = X_T_R - beta * w # <<<<<<<<<<<<<<
* if positive:
* dual_norm_XtA = np.max(XtA)
*/
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 353; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyNumber_Multiply(__pyx_t_3, ((PyObject *)__pyx_v_w)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 353; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Subtract(__pyx_v_X_T_R, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 353; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_v_XtA);
__pyx_v_XtA = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":354
*
* XtA = X_T_R - beta * w
* if positive: # <<<<<<<<<<<<<<
* dual_norm_XtA = np.max(XtA)
* else:
*/
if (__pyx_v_positive) {
/* "sklearn/linear_model/cd_fast.pyx":355
* XtA = X_T_R - beta * w
* if positive:
* dual_norm_XtA = np.max(XtA) # <<<<<<<<<<<<<<
* else:
* dual_norm_XtA = linalg.norm(XtA, np.inf)
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 355; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__max); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 355; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 355; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_XtA);
__Pyx_GIVEREF(__pyx_v_XtA);
__pyx_t_1 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 355; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L40;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":357
* dual_norm_XtA = np.max(XtA)
* else:
* dual_norm_XtA = linalg.norm(XtA, np.inf) # <<<<<<<<<<<<<<
*
* R_norm2 = np.dot(R, R)
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__linalg); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__norm); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__inf); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_XtA);
__Pyx_GIVEREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
__pyx_t_2 = 0;
__pyx_t_2 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_2;
__pyx_t_2 = 0;
}
__pyx_L40:;
/* "sklearn/linear_model/cd_fast.pyx":359
* dual_norm_XtA = linalg.norm(XtA, np.inf)
*
* R_norm2 = np.dot(R, R) # <<<<<<<<<<<<<<
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha):
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 359; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__dot); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 359; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 359; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_2, 1, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__pyx_t_3 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 359; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_v_R_norm2);
__pyx_v_R_norm2 = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":360
*
* R_norm2 = np.dot(R, R)
* w_norm2 = np.dot(w, w) # <<<<<<<<<<<<<<
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__dot); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__pyx_t_1 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 360; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_w_norm2);
__pyx_v_w_norm2 = __pyx_t_1;
__pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":361
* R_norm2 = np.dot(R, R)
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha): # <<<<<<<<<<<<<<
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * const**2
*/
__pyx_t_1 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_dual_norm_XtA, __pyx_t_1, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_16 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_16 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 361; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_16) {
/* "sklearn/linear_model/cd_fast.pyx":362
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA # <<<<<<<<<<<<<<
* A_norm2 = R_norm2 * const**2
* gap = 0.5 * (R_norm2 + A_norm2)
*/
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 362; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = __Pyx_PyNumber_Divide(__pyx_t_3, __pyx_v_dual_norm_XtA); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 362; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_1;
__pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":363
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * const**2 # <<<<<<<<<<<<<<
* gap = 0.5 * (R_norm2 + A_norm2)
* else:
*/
__pyx_t_1 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 363; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyNumber_Multiply(__pyx_v_R_norm2, __pyx_t_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 363; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_v_A_norm2);
__pyx_v_A_norm2 = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":364
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * const**2
* gap = 0.5 * (R_norm2 + A_norm2) # <<<<<<<<<<<<<<
* else:
* const = 1.0
*/
__pyx_t_3 = PyFloat_FromDouble(0.5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyNumber_Add(__pyx_v_R_norm2, __pyx_v_A_norm2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyNumber_Multiply(__pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_31 = __pyx_PyFloat_AsDouble(__pyx_t_2); if (unlikely((__pyx_t_31 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 364; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_gap = __pyx_t_31;
goto __pyx_L41;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":366
* gap = 0.5 * (R_norm2 + A_norm2)
* else:
* const = 1.0 # <<<<<<<<<<<<<<
* gap = R_norm2
*
*/
__pyx_t_2 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_2;
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":367
* else:
* const = 1.0
* gap = R_norm2 # <<<<<<<<<<<<<<
*
* gap += alpha * linalg.norm(w, 1) - const * np.dot(R.T, y) + \
*/
__pyx_t_31 = __pyx_PyFloat_AsDouble(__pyx_v_R_norm2); if (unlikely((__pyx_t_31 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 367; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_gap = __pyx_t_31;
}
__pyx_L41:;
/* "sklearn/linear_model/cd_fast.pyx":369
* gap = R_norm2
*
* gap += alpha * linalg.norm(w, 1) - const * np.dot(R.T, y) + \ # <<<<<<<<<<<<<<
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*
*/
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_1 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__linalg); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_4 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__norm); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(__pyx_int_1);
PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_1);
__Pyx_GIVEREF(__pyx_int_1);
__pyx_t_74 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_74);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_74); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_74); __pyx_t_74 = 0;
__pyx_t_74 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_74);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_74, __pyx_n_s__dot); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_74); __pyx_t_74 = 0;
__pyx_t_74 = PyObject_GetAttr(((PyObject *)__pyx_v_R), __pyx_n_s__T); if (unlikely(!__pyx_t_74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_74);
__pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_74);
__Pyx_GIVEREF(__pyx_t_74);
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_4, 1, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__pyx_t_74 = 0;
__pyx_t_74 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_74);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0;
__pyx_t_4 = PyNumber_Multiply(__pyx_v_const, __pyx_t_74); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_DECREF(__pyx_t_74); __pyx_t_74 = 0;
__pyx_t_74 = PyNumber_Subtract(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_74)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_74);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
/* "sklearn/linear_model/cd_fast.pyx":370
*
* gap += alpha * linalg.norm(w, 1) - const * np.dot(R.T, y) + \
* 0.5 * beta * (1 + const ** 2) * (w_norm2) # <<<<<<<<<<<<<<
*
* if gap < tol:
*/
__pyx_t_4 = PyFloat_FromDouble((0.5 * __pyx_v_beta)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_3 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyNumber_Add(__pyx_int_1, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Multiply(__pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_Multiply(__pyx_t_3, __pyx_v_w_norm2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Add(__pyx_t_74, __pyx_t_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_74); __pyx_t_74 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_InPlaceAdd(__pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_31 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_31 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_v_gap = __pyx_t_31;
/* "sklearn/linear_model/cd_fast.pyx":372
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*
* if gap < tol: # <<<<<<<<<<<<<<
* # return if we reached desired tolerance
* break
*/
__pyx_t_16 = (__pyx_v_gap < __pyx_v_tol);
if (__pyx_t_16) {
/* "sklearn/linear_model/cd_fast.pyx":374
* if gap < tol:
* # return if we reached desired tolerance
* break # <<<<<<<<<<<<<<
*
* return w, gap, tol
*/
goto __pyx_L11_break;
goto __pyx_L42;
}
__pyx_L42:;
goto __pyx_L35;
}
__pyx_L35:;
}
__pyx_L11_break:;
/* "sklearn/linear_model/cd_fast.pyx":376
* break
*
* return w, gap, tol # <<<<<<<<<<<<<<
*
*
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_tol); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyTuple_New(3); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_2, 2, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__pyx_t_1 = 0;
__pyx_t_3 = 0;
__pyx_r = ((PyObject *)__pyx_t_2);
__pyx_t_2 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_4);
__Pyx_XDECREF(__pyx_t_74);
{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_data.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indices.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indptr.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_y.rcbuffer->pybuffer);
__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.sparse_enet_coordinate_descent", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
goto __pyx_L2;
__pyx_L0:;
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_data.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indices.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_indptr.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X_mean.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_y.rcbuffer->pybuffer);
__pyx_L2:;
__Pyx_XDECREF((PyObject *)__pyx_v_norm_cols_X);
__Pyx_XDECREF((PyObject *)__pyx_v_R);
__Pyx_XDECREF(__pyx_v_X_T_R);
__Pyx_XDECREF(__pyx_v_XtA);
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__Pyx_XDECREF(__pyx_v_R_norm2);
__Pyx_XDECREF(__pyx_v_w_norm2);
__Pyx_XDECREF(__pyx_v_const);
__Pyx_XDECREF(__pyx_v_A_norm2);
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_7enet_coordinate_descent_gram(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_7sklearn_12linear_model_7cd_fast_6enet_coordinate_descent_gram[] = "Cython version of the coordinate descent algorithm\n for Elastic-Net regression\n\n We minimize\n\n 1 w^T Q w - q^T w + alpha norm(w, 1) + beta norm(w, 2)^2\n - ----\n 2 2\n\n which amount to the Elastic-Net problem when:\n Q = X^T X (Gram matrix)\n q = X^T y\n ";
static PyMethodDef __pyx_mdef_7sklearn_12linear_model_7cd_fast_7enet_coordinate_descent_gram = {__Pyx_NAMESTR("enet_coordinate_descent_gram"), (PyCFunction)__pyx_pw_7sklearn_12linear_model_7cd_fast_7enet_coordinate_descent_gram, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_12linear_model_7cd_fast_6enet_coordinate_descent_gram)};
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_7enet_coordinate_descent_gram(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyArrayObject *__pyx_v_w = 0;
double __pyx_v_alpha;
double __pyx_v_beta;
PyArrayObject *__pyx_v_Q = 0;
PyArrayObject *__pyx_v_q = 0;
PyArrayObject *__pyx_v_y = 0;
int __pyx_v_max_iter;
double __pyx_v_tol;
PyBoolObject *__pyx_v_positive = 0;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("enet_coordinate_descent_gram (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__w,&__pyx_n_s__alpha,&__pyx_n_s__beta,&__pyx_n_s__Q,&__pyx_n_s__q,&__pyx_n_s__y,&__pyx_n_s__max_iter,&__pyx_n_s__tol,&__pyx_n_s__positive,0};
PyObject* values[9] = {0,0,0,0,0,0,0,0,0};
values[8] = (PyObject *)__pyx_k_4;
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = PyDict_Size(__pyx_kwds);
switch (pos_args) {
case 0:
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__w)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__alpha)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__beta)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 3:
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__Q)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 4:
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__q)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 5:
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__y)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 6:
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 7:
if (likely((values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 8:
if (kw_args > 0) {
PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__positive);
if (value) { values[8] = value; kw_args--; }
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "enet_coordinate_descent_gram") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else {
switch (PyTuple_GET_SIZE(__pyx_args)) {
case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
break;
default: goto __pyx_L5_argtuple_error;
}
}
__pyx_v_w = ((PyArrayObject *)values[0]);
__pyx_v_alpha = __pyx_PyFloat_AsDouble(values[1]); if (unlikely((__pyx_v_alpha == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_beta = __pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_beta == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_Q = ((PyArrayObject *)values[3]);
__pyx_v_q = ((PyArrayObject *)values[4]);
__pyx_v_y = ((PyArrayObject *)values[5]);
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[6]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 387; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[7]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 387; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_positive = ((PyBoolObject *)values[8]);
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_gram", 0, 8, 9, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.enet_coordinate_descent_gram", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_w), __pyx_ptype_5numpy_ndarray, 1, "w", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_Q), __pyx_ptype_5numpy_ndarray, 1, "Q", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 384; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_q), __pyx_ptype_5numpy_ndarray, 1, "q", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 385; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_y), __pyx_ptype_5numpy_ndarray, 1, "y", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 386; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_positive), __pyx_ptype_7cpython_4bool_bool, 1, "positive", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 387; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = __pyx_pf_7sklearn_12linear_model_7cd_fast_6enet_coordinate_descent_gram(__pyx_self, __pyx_v_w, __pyx_v_alpha, __pyx_v_beta, __pyx_v_Q, __pyx_v_q, __pyx_v_y, __pyx_v_max_iter, __pyx_v_tol, __pyx_v_positive);
goto __pyx_L0;
__pyx_L1_error:;
__pyx_r = NULL;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":382
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent_gram(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=2] Q,
*/
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_6enet_coordinate_descent_gram(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_w, double __pyx_v_alpha, double __pyx_v_beta, PyArrayObject *__pyx_v_Q, PyArrayObject *__pyx_v_q, PyArrayObject *__pyx_v_y, int __pyx_v_max_iter, double __pyx_v_tol, PyBoolObject *__pyx_v_positive) {
CYTHON_UNUSED unsigned int __pyx_v_n_samples;
unsigned int __pyx_v_n_features;
PyArrayObject *__pyx_v_H = 0;
double __pyx_v_tmp;
double __pyx_v_w_ii;
double __pyx_v_d_w_max;
double __pyx_v_w_max;
double __pyx_v_d_w_ii;
double __pyx_v_gap;
double __pyx_v_d_w_tol;
unsigned int __pyx_v_ii;
unsigned int __pyx_v_n_iter;
double __pyx_v_y_norm2;
PyObject *__pyx_v_q_dot_w = NULL;
PyObject *__pyx_v_XtA = NULL;
PyObject *__pyx_v_dual_norm_XtA = NULL;
PyObject *__pyx_v_R_norm2 = NULL;
PyObject *__pyx_v_w_norm2 = NULL;
PyObject *__pyx_v_const = NULL;
PyObject *__pyx_v_A_norm2 = NULL;
__Pyx_LocalBuf_ND __pyx_pybuffernd_H;
__Pyx_Buffer __pyx_pybuffer_H;
__Pyx_LocalBuf_ND __pyx_pybuffernd_Q;
__Pyx_Buffer __pyx_pybuffer_Q;
__Pyx_LocalBuf_ND __pyx_pybuffernd_q;
__Pyx_Buffer __pyx_pybuffer_q;
__Pyx_LocalBuf_ND __pyx_pybuffernd_w;
__Pyx_Buffer __pyx_pybuffer_w;
__Pyx_LocalBuf_ND __pyx_pybuffernd_y;
__Pyx_Buffer __pyx_pybuffer_y;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
PyObject *__pyx_t_2 = NULL;
PyObject *__pyx_t_3 = NULL;
PyArrayObject *__pyx_t_4 = NULL;
double __pyx_t_5;
int __pyx_t_6;
int __pyx_t_7;
unsigned int __pyx_t_8;
unsigned int __pyx_t_9;
unsigned int __pyx_t_10;
unsigned int __pyx_t_11;
unsigned int __pyx_t_12;
unsigned int __pyx_t_13;
unsigned int __pyx_t_14;
unsigned int __pyx_t_15;
int __pyx_t_16;
int __pyx_t_17;
unsigned int __pyx_t_18;
unsigned int __pyx_t_19;
unsigned int __pyx_t_20;
unsigned int __pyx_t_21;
unsigned int __pyx_t_22;
unsigned int __pyx_t_23;
unsigned int __pyx_t_24;
unsigned int __pyx_t_25;
unsigned int __pyx_t_26;
int __pyx_t_27;
PyObject *__pyx_t_28 = NULL;
PyObject *__pyx_t_29 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("enet_coordinate_descent_gram", 0);
__pyx_pybuffer_H.pybuffer.buf = NULL;
__pyx_pybuffer_H.refcount = 0;
__pyx_pybuffernd_H.data = NULL;
__pyx_pybuffernd_H.rcbuffer = &__pyx_pybuffer_H;
__pyx_pybuffer_w.pybuffer.buf = NULL;
__pyx_pybuffer_w.refcount = 0;
__pyx_pybuffernd_w.data = NULL;
__pyx_pybuffernd_w.rcbuffer = &__pyx_pybuffer_w;
__pyx_pybuffer_Q.pybuffer.buf = NULL;
__pyx_pybuffer_Q.refcount = 0;
__pyx_pybuffernd_Q.data = NULL;
__pyx_pybuffernd_Q.rcbuffer = &__pyx_pybuffer_Q;
__pyx_pybuffer_q.pybuffer.buf = NULL;
__pyx_pybuffer_q.refcount = 0;
__pyx_pybuffernd_q.data = NULL;
__pyx_pybuffernd_q.rcbuffer = &__pyx_pybuffer_q;
__pyx_pybuffer_y.pybuffer.buf = NULL;
__pyx_pybuffer_y.refcount = 0;
__pyx_pybuffernd_y.data = NULL;
__pyx_pybuffernd_y.rcbuffer = &__pyx_pybuffer_y;
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_w.rcbuffer->pybuffer, (PyObject*)__pyx_v_w, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_w.diminfo[0].strides = __pyx_pybuffernd_w.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_w.diminfo[0].shape = __pyx_pybuffernd_w.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_Q.rcbuffer->pybuffer, (PyObject*)__pyx_v_Q, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_Q.diminfo[0].strides = __pyx_pybuffernd_Q.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_Q.diminfo[0].shape = __pyx_pybuffernd_Q.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_Q.diminfo[1].strides = __pyx_pybuffernd_Q.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_Q.diminfo[1].shape = __pyx_pybuffernd_Q.rcbuffer->pybuffer.shape[1];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_q.rcbuffer->pybuffer, (PyObject*)__pyx_v_q, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_q.diminfo[0].strides = __pyx_pybuffernd_q.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_q.diminfo[0].shape = __pyx_pybuffernd_q.rcbuffer->pybuffer.shape[0];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_y.rcbuffer->pybuffer, (PyObject*)__pyx_v_y, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_y.diminfo[0].strides = __pyx_pybuffernd_y.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_y.diminfo[0].shape = __pyx_pybuffernd_y.rcbuffer->pybuffer.shape[0];
/* "sklearn/linear_model/cd_fast.pyx":403
*
* # get the data information into easy vars
* cdef unsigned int n_samples = y.shape[0] # <<<<<<<<<<<<<<
* cdef unsigned int n_features = Q.shape[0]
*
*/
__pyx_v_n_samples = (__pyx_v_y->dimensions[0]);
/* "sklearn/linear_model/cd_fast.pyx":404
* # get the data information into easy vars
* cdef unsigned int n_samples = y.shape[0]
* cdef unsigned int n_features = Q.shape[0] # <<<<<<<<<<<<<<
*
* # initial value "Q w" which will be kept of up to date in the iterations
*/
__pyx_v_n_features = (__pyx_v_Q->dimensions[0]);
/* "sklearn/linear_model/cd_fast.pyx":407
*
* # initial value "Q w" which will be kept of up to date in the iterations
* cdef np.ndarray[DOUBLE, ndim=1] H = np.dot(Q, w) # <<<<<<<<<<<<<<
*
* cdef double tmp
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__dot); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(((PyObject *)__pyx_v_Q));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_Q));
__Pyx_GIVEREF(((PyObject *)__pyx_v_Q));
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_1, 1, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_4 = ((PyArrayObject *)__pyx_t_3);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_H.rcbuffer->pybuffer, (PyObject*)__pyx_t_4, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
__pyx_v_H = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_H.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 407; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_H.diminfo[0].strides = __pyx_pybuffernd_H.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_H.diminfo[0].shape = __pyx_pybuffernd_H.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_4 = 0;
__pyx_v_H = ((PyArrayObject *)__pyx_t_3);
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":414
* cdef double w_max
* cdef double d_w_ii
* cdef double gap = tol + 1.0 # <<<<<<<<<<<<<<
* cdef double d_w_tol = tol
* cdef unsigned int ii
*/
__pyx_v_gap = (__pyx_v_tol + 1.0);
/* "sklearn/linear_model/cd_fast.pyx":415
* cdef double d_w_ii
* cdef double gap = tol + 1.0
* cdef double d_w_tol = tol # <<<<<<<<<<<<<<
* cdef unsigned int ii
* cdef unsigned int n_iter
*/
__pyx_v_d_w_tol = __pyx_v_tol;
/* "sklearn/linear_model/cd_fast.pyx":419
* cdef unsigned int n_iter
*
* cdef double y_norm2 = np.dot(y, y) # <<<<<<<<<<<<<<
* tol = tol * y_norm2
*
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 419; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__dot); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 419; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 419; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__Pyx_INCREF(((PyObject *)__pyx_v_y));
PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_v_y));
__Pyx_GIVEREF(((PyObject *)__pyx_v_y));
__pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 419; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_2); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 419; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_y_norm2 = __pyx_t_5;
/* "sklearn/linear_model/cd_fast.pyx":420
*
* cdef double y_norm2 = np.dot(y, y)
* tol = tol * y_norm2 # <<<<<<<<<<<<<<
*
* if alpha == 0:
*/
__pyx_v_tol = (__pyx_v_tol * __pyx_v_y_norm2);
/* "sklearn/linear_model/cd_fast.pyx":422
* tol = tol * y_norm2
*
* if alpha == 0: # <<<<<<<<<<<<<<
* warnings.warn("Coordinate descent with alpha=0 may lead to unexpected"
* " results and is discouraged.")
*/
__pyx_t_6 = (__pyx_v_alpha == 0.0);
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":423
*
* if alpha == 0:
* warnings.warn("Coordinate descent with alpha=0 may lead to unexpected" # <<<<<<<<<<<<<<
* " results and is discouraged.")
*
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__warnings); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 423; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__warn); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 423; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_k_tuple_5), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 423; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
goto __pyx_L3;
}
__pyx_L3:;
/* "sklearn/linear_model/cd_fast.pyx":426
* " results and is discouraged.")
*
* for n_iter in range(max_iter): # <<<<<<<<<<<<<<
* w_max = 0.0
* d_w_max = 0.0
*/
__pyx_t_7 = __pyx_v_max_iter;
for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
__pyx_v_n_iter = __pyx_t_8;
/* "sklearn/linear_model/cd_fast.pyx":427
*
* for n_iter in range(max_iter):
* w_max = 0.0 # <<<<<<<<<<<<<<
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates
*/
__pyx_v_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":428
* for n_iter in range(max_iter):
* w_max = 0.0
* d_w_max = 0.0 # <<<<<<<<<<<<<<
* for ii in xrange(n_features): # Loop over coordinates
* if Q[ii, ii] == 0.0:
*/
__pyx_v_d_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":429
* w_max = 0.0
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates # <<<<<<<<<<<<<<
* if Q[ii, ii] == 0.0:
* continue
*/
__pyx_t_9 = __pyx_v_n_features;
for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_9; __pyx_t_10+=1) {
__pyx_v_ii = __pyx_t_10;
/* "sklearn/linear_model/cd_fast.pyx":430
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates
* if Q[ii, ii] == 0.0: # <<<<<<<<<<<<<<
* continue
*
*/
__pyx_t_11 = __pyx_v_ii;
__pyx_t_12 = __pyx_v_ii;
__pyx_t_6 = ((*__Pyx_BufPtrStrided2d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_Q.rcbuffer->pybuffer.buf, __pyx_t_11, __pyx_pybuffernd_Q.diminfo[0].strides, __pyx_t_12, __pyx_pybuffernd_Q.diminfo[1].strides)) == 0.0);
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":431
* for ii in xrange(n_features): # Loop over coordinates
* if Q[ii, ii] == 0.0:
* continue # <<<<<<<<<<<<<<
*
* w_ii = w[ii] # Store previous value
*/
goto __pyx_L6_continue;
goto __pyx_L8;
}
__pyx_L8:;
/* "sklearn/linear_model/cd_fast.pyx":433
* continue
*
* w_ii = w[ii] # Store previous value # <<<<<<<<<<<<<<
*
* if w_ii != 0.0:
*/
__pyx_t_13 = __pyx_v_ii;
__pyx_v_w_ii = (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_13, __pyx_pybuffernd_w.diminfo[0].strides));
/* "sklearn/linear_model/cd_fast.pyx":435
* w_ii = w[ii] # Store previous value
*
* if w_ii != 0.0: # <<<<<<<<<<<<<<
* # H -= w_ii * Q[ii]
* daxpy(n_features, -w_ii,
*/
__pyx_t_6 = (__pyx_v_w_ii != 0.0);
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":439
* daxpy(n_features, -w_ii,
* <DOUBLE*>(Q.data + ii * n_features * sizeof(DOUBLE)), 1,
* <DOUBLE*>H.data, 1) # <<<<<<<<<<<<<<
*
* tmp = q[ii] - H[ii]
*/
cblas_daxpy(__pyx_v_n_features, (-__pyx_v_w_ii), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_Q->data + ((__pyx_v_ii * __pyx_v_n_features) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_H->data), 1);
goto __pyx_L9;
}
__pyx_L9:;
/* "sklearn/linear_model/cd_fast.pyx":441
* <DOUBLE*>H.data, 1)
*
* tmp = q[ii] - H[ii] # <<<<<<<<<<<<<<
*
* if positive and tmp < 0:
*/
__pyx_t_14 = __pyx_v_ii;
__pyx_t_15 = __pyx_v_ii;
__pyx_v_tmp = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_q.rcbuffer->pybuffer.buf, __pyx_t_14, __pyx_pybuffernd_q.diminfo[0].strides)) - (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_H.rcbuffer->pybuffer.buf, __pyx_t_15, __pyx_pybuffernd_H.diminfo[0].strides)));
/* "sklearn/linear_model/cd_fast.pyx":443
* tmp = q[ii] - H[ii]
*
* if positive and tmp < 0: # <<<<<<<<<<<<<<
* w[ii] = 0.0
* else:
*/
__pyx_t_6 = __Pyx_PyObject_IsTrue(((PyObject *)__pyx_v_positive)); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 443; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_6) {
__pyx_t_16 = (__pyx_v_tmp < 0.0);
__pyx_t_17 = __pyx_t_16;
} else {
__pyx_t_17 = __pyx_t_6;
}
if (__pyx_t_17) {
/* "sklearn/linear_model/cd_fast.pyx":444
*
* if positive and tmp < 0:
* w[ii] = 0.0 # <<<<<<<<<<<<<<
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \
*/
__pyx_t_18 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_w.diminfo[0].strides) = 0.0;
goto __pyx_L10;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":447
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \
* / (Q[ii, ii] + beta) # <<<<<<<<<<<<<<
*
* if w[ii] != 0.0:
*/
__pyx_t_19 = __pyx_v_ii;
__pyx_t_20 = __pyx_v_ii;
/* "sklearn/linear_model/cd_fast.pyx":446
* w[ii] = 0.0
* else:
* w[ii] = fsign(tmp) * fmax(fabs(tmp) - alpha, 0) \ # <<<<<<<<<<<<<<
* / (Q[ii, ii] + beta)
*
*/
__pyx_t_21 = __pyx_v_ii;
*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_21, __pyx_pybuffernd_w.diminfo[0].strides) = ((__pyx_f_7sklearn_12linear_model_7cd_fast_fsign(__pyx_v_tmp) * __pyx_f_7sklearn_12linear_model_7cd_fast_fmax((fabs(__pyx_v_tmp) - __pyx_v_alpha), 0.0)) / ((*__Pyx_BufPtrStrided2d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_Q.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_Q.diminfo[0].strides, __pyx_t_20, __pyx_pybuffernd_Q.diminfo[1].strides)) + __pyx_v_beta));
}
__pyx_L10:;
/* "sklearn/linear_model/cd_fast.pyx":449
* / (Q[ii, ii] + beta)
*
* if w[ii] != 0.0: # <<<<<<<<<<<<<<
* # H += w[ii] * Q[ii] # Update H = X.T X w
* daxpy(n_features, w[ii],
*/
__pyx_t_22 = __pyx_v_ii;
__pyx_t_17 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_22, __pyx_pybuffernd_w.diminfo[0].strides)) != 0.0);
if (__pyx_t_17) {
/* "sklearn/linear_model/cd_fast.pyx":451
* if w[ii] != 0.0:
* # H += w[ii] * Q[ii] # Update H = X.T X w
* daxpy(n_features, w[ii], # <<<<<<<<<<<<<<
* <DOUBLE*>(Q.data + ii * n_features * sizeof(DOUBLE)), 1,
* <DOUBLE*>H.data, 1)
*/
__pyx_t_23 = __pyx_v_ii;
/* "sklearn/linear_model/cd_fast.pyx":453
* daxpy(n_features, w[ii],
* <DOUBLE*>(Q.data + ii * n_features * sizeof(DOUBLE)), 1,
* <DOUBLE*>H.data, 1) # <<<<<<<<<<<<<<
*
* # update the maximum absolute coefficient update
*/
cblas_daxpy(__pyx_v_n_features, (*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_w.diminfo[0].strides)), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_Q->data + ((__pyx_v_ii * __pyx_v_n_features) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_H->data), 1);
goto __pyx_L11;
}
__pyx_L11:;
/* "sklearn/linear_model/cd_fast.pyx":456
*
* # update the maximum absolute coefficient update
* d_w_ii = fabs(w[ii] - w_ii) # <<<<<<<<<<<<<<
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii
*/
__pyx_t_24 = __pyx_v_ii;
__pyx_v_d_w_ii = fabs(((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_w.diminfo[0].strides)) - __pyx_v_w_ii));
/* "sklearn/linear_model/cd_fast.pyx":457
* # update the maximum absolute coefficient update
* d_w_ii = fabs(w[ii] - w_ii)
* if d_w_ii > d_w_max: # <<<<<<<<<<<<<<
* d_w_max = d_w_ii
*
*/
__pyx_t_17 = (__pyx_v_d_w_ii > __pyx_v_d_w_max);
if (__pyx_t_17) {
/* "sklearn/linear_model/cd_fast.pyx":458
* d_w_ii = fabs(w[ii] - w_ii)
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii # <<<<<<<<<<<<<<
*
* if fabs(w[ii]) > w_max:
*/
__pyx_v_d_w_max = __pyx_v_d_w_ii;
goto __pyx_L12;
}
__pyx_L12:;
/* "sklearn/linear_model/cd_fast.pyx":460
* d_w_max = d_w_ii
*
* if fabs(w[ii]) > w_max: # <<<<<<<<<<<<<<
* w_max = fabs(w[ii])
*
*/
__pyx_t_25 = __pyx_v_ii;
__pyx_t_17 = (fabs((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_w.diminfo[0].strides))) > __pyx_v_w_max);
if (__pyx_t_17) {
/* "sklearn/linear_model/cd_fast.pyx":461
*
* if fabs(w[ii]) > w_max:
* w_max = fabs(w[ii]) # <<<<<<<<<<<<<<
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1:
*/
__pyx_t_26 = __pyx_v_ii;
__pyx_v_w_max = fabs((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_w.rcbuffer->pybuffer.buf, __pyx_t_26, __pyx_pybuffernd_w.diminfo[0].strides)));
goto __pyx_L13;
}
__pyx_L13:;
__pyx_L6_continue:;
}
/* "sklearn/linear_model/cd_fast.pyx":463
* w_max = fabs(w[ii])
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1: # <<<<<<<<<<<<<<
* # the biggest coordinate update of this iteration was smaller than
* # the tolerance: check the duality gap as ultimate stopping
*/
__pyx_t_17 = (__pyx_v_w_max == 0.0);
if (!__pyx_t_17) {
__pyx_t_6 = ((__pyx_v_d_w_max / __pyx_v_w_max) < __pyx_v_d_w_tol);
if (!__pyx_t_6) {
__pyx_t_16 = (__pyx_v_n_iter == (__pyx_v_max_iter - 1));
__pyx_t_27 = __pyx_t_16;
} else {
__pyx_t_27 = __pyx_t_6;
}
__pyx_t_6 = __pyx_t_27;
} else {
__pyx_t_6 = __pyx_t_17;
}
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":468
* # criterion
*
* q_dot_w = np.dot(w, q) # <<<<<<<<<<<<<<
*
* XtA = q - H - beta * w
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 468; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__dot); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 468; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 468; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(((PyObject *)__pyx_v_q));
PyTuple_SET_ITEM(__pyx_t_2, 1, ((PyObject *)__pyx_v_q));
__Pyx_GIVEREF(((PyObject *)__pyx_v_q));
__pyx_t_1 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 468; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_v_q_dot_w);
__pyx_v_q_dot_w = __pyx_t_1;
__pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":470
* q_dot_w = np.dot(w, q)
*
* XtA = q - H - beta * w # <<<<<<<<<<<<<<
* if positive:
* dual_norm_XtA = np.max(XtA)
*/
__pyx_t_1 = PyNumber_Subtract(((PyObject *)__pyx_v_q), ((PyObject *)__pyx_v_H)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 470; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 470; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyNumber_Multiply(__pyx_t_2, ((PyObject *)__pyx_v_w)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 470; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Subtract(__pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 470; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_XtA);
__pyx_v_XtA = __pyx_t_2;
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":471
*
* XtA = q - H - beta * w
* if positive: # <<<<<<<<<<<<<<
* dual_norm_XtA = np.max(XtA)
* else:
*/
__pyx_t_6 = __Pyx_PyObject_IsTrue(((PyObject *)__pyx_v_positive)); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 471; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":472
* XtA = q - H - beta * w
* if positive:
* dual_norm_XtA = np.max(XtA) # <<<<<<<<<<<<<<
* else:
* dual_norm_XtA = linalg.norm(XtA, np.inf)
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__max); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_XtA);
__Pyx_GIVEREF(__pyx_v_XtA);
__pyx_t_1 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L15;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":474
* dual_norm_XtA = np.max(XtA)
* else:
* dual_norm_XtA = linalg.norm(XtA, np.inf) # <<<<<<<<<<<<<<
*
* R_norm2 = y_norm2 + np.sum(w * H) - 2.0 * q_dot_w
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__linalg); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__norm); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__inf); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_XtA);
__Pyx_GIVEREF(__pyx_v_XtA);
PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__pyx_t_3 = 0;
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 474; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_3;
__pyx_t_3 = 0;
}
__pyx_L15:;
/* "sklearn/linear_model/cd_fast.pyx":476
* dual_norm_XtA = linalg.norm(XtA, np.inf)
*
* R_norm2 = y_norm2 + np.sum(w * H) - 2.0 * q_dot_w # <<<<<<<<<<<<<<
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha):
*/
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_y_norm2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__sum); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_Multiply(((PyObject *)__pyx_v_w), ((PyObject *)__pyx_v_H)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_28 = PyTuple_New(1); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
PyTuple_SET_ITEM(__pyx_t_28, 0, __pyx_t_1);
__Pyx_GIVEREF(__pyx_t_1);
__pyx_t_1 = 0;
__pyx_t_1 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_28), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_28)); __pyx_t_28 = 0;
__pyx_t_28 = PyNumber_Add(__pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyFloat_FromDouble(2.0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_v_q_dot_w); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_Subtract(__pyx_t_28, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 476; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_R_norm2);
__pyx_v_R_norm2 = __pyx_t_1;
__pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":477
*
* R_norm2 = y_norm2 + np.sum(w * H) - 2.0 * q_dot_w
* w_norm2 = np.dot(w, w) # <<<<<<<<<<<<<<
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 477; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__dot); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 477; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 477; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_1, 1, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__pyx_t_28 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 477; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_v_w_norm2);
__pyx_v_w_norm2 = __pyx_t_28;
__pyx_t_28 = 0;
/* "sklearn/linear_model/cd_fast.pyx":478
* R_norm2 = y_norm2 + np.sum(w * H) - 2.0 * q_dot_w
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha): # <<<<<<<<<<<<<<
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * (const ** 2)
*/
__pyx_t_28 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 478; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__pyx_t_1 = PyObject_RichCompare(__pyx_v_dual_norm_XtA, __pyx_t_28, Py_GT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 478; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 478; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":479
* w_norm2 = np.dot(w, w)
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA # <<<<<<<<<<<<<<
* A_norm2 = R_norm2 * (const ** 2)
* gap = 0.5 * (R_norm2 + A_norm2)
*/
__pyx_t_1 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_28 = __Pyx_PyNumber_Divide(__pyx_t_1, __pyx_v_dual_norm_XtA); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 479; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_28;
__pyx_t_28 = 0;
/* "sklearn/linear_model/cd_fast.pyx":480
* if (dual_norm_XtA > alpha):
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * (const ** 2) # <<<<<<<<<<<<<<
* gap = 0.5 * (R_norm2 + A_norm2)
* else:
*/
__pyx_t_28 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 480; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__pyx_t_1 = PyNumber_Multiply(__pyx_v_R_norm2, __pyx_t_28); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 480; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__Pyx_XDECREF(__pyx_v_A_norm2);
__pyx_v_A_norm2 = __pyx_t_1;
__pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":481
* const = alpha / dual_norm_XtA
* A_norm2 = R_norm2 * (const ** 2)
* gap = 0.5 * (R_norm2 + A_norm2) # <<<<<<<<<<<<<<
* else:
* const = 1.0
*/
__pyx_t_1 = PyFloat_FromDouble(0.5); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 481; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_28 = PyNumber_Add(__pyx_v_R_norm2, __pyx_v_A_norm2); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 481; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_28); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 481; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 481; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_v_gap = __pyx_t_5;
goto __pyx_L16;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":483
* gap = 0.5 * (R_norm2 + A_norm2)
* else:
* const = 1.0 # <<<<<<<<<<<<<<
* gap = R_norm2
*
*/
__pyx_t_3 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 483; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_3;
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":484
* else:
* const = 1.0
* gap = R_norm2 # <<<<<<<<<<<<<<
*
* gap += alpha * linalg.norm(w, 1) \
*/
__pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_v_R_norm2); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 484; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_gap = __pyx_t_5;
}
__pyx_L16:;
/* "sklearn/linear_model/cd_fast.pyx":486
* gap = R_norm2
*
* gap += alpha * linalg.norm(w, 1) \ # <<<<<<<<<<<<<<
* - const * y_norm2 \
* + const * q_dot_w + \
*/
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
/* "sklearn/linear_model/cd_fast.pyx":487
*
* gap += alpha * linalg.norm(w, 1) \
* - const * y_norm2 \ # <<<<<<<<<<<<<<
* + const * q_dot_w + \
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*/
__pyx_t_28 = PyFloat_FromDouble(__pyx_v_alpha); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
/* "sklearn/linear_model/cd_fast.pyx":486
* gap = R_norm2
*
* gap += alpha * linalg.norm(w, 1) \ # <<<<<<<<<<<<<<
* - const * y_norm2 \
* + const * q_dot_w + \
*/
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__linalg); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__norm); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
__Pyx_INCREF(__pyx_int_1);
PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_1);
__Pyx_GIVEREF(__pyx_int_1);
__pyx_t_29 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__pyx_t_1 = PyNumber_Multiply(__pyx_t_28, __pyx_t_29); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
/* "sklearn/linear_model/cd_fast.pyx":488
* gap += alpha * linalg.norm(w, 1) \
* - const * y_norm2 \
* + const * q_dot_w + \ # <<<<<<<<<<<<<<
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*
*/
__pyx_t_29 = PyFloat_FromDouble(__pyx_v_y_norm2); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__pyx_t_28 = PyNumber_Multiply(__pyx_v_const, __pyx_t_29); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 487; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_29 = PyNumber_Subtract(__pyx_t_1, __pyx_t_28); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 487; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__pyx_t_28 = PyNumber_Multiply(__pyx_v_const, __pyx_v_q_dot_w); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__pyx_t_1 = PyNumber_Add(__pyx_t_29, __pyx_t_28); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
/* "sklearn/linear_model/cd_fast.pyx":489
* - const * y_norm2 \
* + const * q_dot_w + \
* 0.5 * beta * (1 + const ** 2) * (w_norm2) # <<<<<<<<<<<<<<
*
* if gap < tol:
*/
__pyx_t_28 = PyFloat_FromDouble((0.5 * __pyx_v_beta)); if (unlikely(!__pyx_t_28)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_28);
__pyx_t_29 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__pyx_t_2 = PyNumber_Add(__pyx_int_1, __pyx_t_29); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_29 = PyNumber_Multiply(__pyx_t_28, __pyx_t_2); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Multiply(__pyx_t_29, __pyx_v_w_norm2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 489; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_29 = PyNumber_Add(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 488; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_t_29); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_29); __pyx_t_29 = 0;
__pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_2); if (unlikely((__pyx_t_5 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 486; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_v_gap = __pyx_t_5;
/* "sklearn/linear_model/cd_fast.pyx":491
* 0.5 * beta * (1 + const ** 2) * (w_norm2)
*
* if gap < tol: # <<<<<<<<<<<<<<
* # return if we reached desired tolerance
* break
*/
__pyx_t_6 = (__pyx_v_gap < __pyx_v_tol);
if (__pyx_t_6) {
/* "sklearn/linear_model/cd_fast.pyx":493
* if gap < tol:
* # return if we reached desired tolerance
* break # <<<<<<<<<<<<<<
*
* return w, gap, tol
*/
goto __pyx_L5_break;
goto __pyx_L17;
}
__pyx_L17:;
goto __pyx_L14;
}
__pyx_L14:;
}
__pyx_L5_break:;
/* "sklearn/linear_model/cd_fast.pyx":495
* break
*
* return w, gap, tol # <<<<<<<<<<<<<<
*
*
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 495; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_29 = PyFloat_FromDouble(__pyx_v_tol); if (unlikely(!__pyx_t_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 495; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_29);
__pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 495; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_w));
__Pyx_GIVEREF(((PyObject *)__pyx_v_w));
PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_29);
__Pyx_GIVEREF(__pyx_t_29);
__pyx_t_2 = 0;
__pyx_t_29 = 0;
__pyx_r = ((PyObject *)__pyx_t_3);
__pyx_t_3 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_28);
__Pyx_XDECREF(__pyx_t_29);
{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_Q.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_q.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_y.rcbuffer->pybuffer);
__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.enet_coordinate_descent_gram", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
goto __pyx_L2;
__pyx_L0:;
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_H.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_Q.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_q.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_y.rcbuffer->pybuffer);
__pyx_L2:;
__Pyx_XDECREF((PyObject *)__pyx_v_H);
__Pyx_XDECREF(__pyx_v_q_dot_w);
__Pyx_XDECREF(__pyx_v_XtA);
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__Pyx_XDECREF(__pyx_v_R_norm2);
__Pyx_XDECREF(__pyx_v_w_norm2);
__Pyx_XDECREF(__pyx_v_const);
__Pyx_XDECREF(__pyx_v_A_norm2);
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":498
*
*
* cdef double abs_max(int n, double* a): # <<<<<<<<<<<<<<
* """np.max(np.abs(a))"""
* cdef int i
*/
static double __pyx_f_7sklearn_12linear_model_7cd_fast_abs_max(int __pyx_v_n, double *__pyx_v_a) {
int __pyx_v_i;
double __pyx_v_m;
double __pyx_v_d;
double __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
__Pyx_RefNannySetupContext("abs_max", 0);
/* "sklearn/linear_model/cd_fast.pyx":501
* """np.max(np.abs(a))"""
* cdef int i
* cdef double m = fabs(a[0]) # <<<<<<<<<<<<<<
* cdef double d
* for i in xrange(1, n):
*/
__pyx_v_m = fabs((__pyx_v_a[0]));
/* "sklearn/linear_model/cd_fast.pyx":503
* cdef double m = fabs(a[0])
* cdef double d
* for i in xrange(1, n): # <<<<<<<<<<<<<<
* d = fabs(a[i])
* if d > m:
*/
__pyx_t_1 = __pyx_v_n;
for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
__pyx_v_i = __pyx_t_2;
/* "sklearn/linear_model/cd_fast.pyx":504
* cdef double d
* for i in xrange(1, n):
* d = fabs(a[i]) # <<<<<<<<<<<<<<
* if d > m:
* m = d
*/
__pyx_v_d = fabs((__pyx_v_a[__pyx_v_i]));
/* "sklearn/linear_model/cd_fast.pyx":505
* for i in xrange(1, n):
* d = fabs(a[i])
* if d > m: # <<<<<<<<<<<<<<
* m = d
* return m
*/
__pyx_t_3 = (__pyx_v_d > __pyx_v_m);
if (__pyx_t_3) {
/* "sklearn/linear_model/cd_fast.pyx":506
* d = fabs(a[i])
* if d > m:
* m = d # <<<<<<<<<<<<<<
* return m
*
*/
__pyx_v_m = __pyx_v_d;
goto __pyx_L5;
}
__pyx_L5:;
}
/* "sklearn/linear_model/cd_fast.pyx":507
* if d > m:
* m = d
* return m # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_m;
goto __pyx_L0;
__pyx_r = 0;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":510
*
*
* cdef double diff_abs_max(int n, double* a, double* b): # <<<<<<<<<<<<<<
* """np.max(np.abs(a - b))"""
* cdef int i
*/
static double __pyx_f_7sklearn_12linear_model_7cd_fast_diff_abs_max(int __pyx_v_n, double *__pyx_v_a, double *__pyx_v_b) {
int __pyx_v_i;
double __pyx_v_m;
double __pyx_v_d;
double __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
__Pyx_RefNannySetupContext("diff_abs_max", 0);
/* "sklearn/linear_model/cd_fast.pyx":513
* """np.max(np.abs(a - b))"""
* cdef int i
* cdef double m = fabs(a[0] - b[0]) # <<<<<<<<<<<<<<
* cdef double d
* for i in xrange(1, n):
*/
__pyx_v_m = fabs(((__pyx_v_a[0]) - (__pyx_v_b[0])));
/* "sklearn/linear_model/cd_fast.pyx":515
* cdef double m = fabs(a[0] - b[0])
* cdef double d
* for i in xrange(1, n): # <<<<<<<<<<<<<<
* d = fabs(a[i] - b[i])
* if d > m:
*/
__pyx_t_1 = __pyx_v_n;
for (__pyx_t_2 = 1; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) {
__pyx_v_i = __pyx_t_2;
/* "sklearn/linear_model/cd_fast.pyx":516
* cdef double d
* for i in xrange(1, n):
* d = fabs(a[i] - b[i]) # <<<<<<<<<<<<<<
* if d > m:
* m = d
*/
__pyx_v_d = fabs(((__pyx_v_a[__pyx_v_i]) - (__pyx_v_b[__pyx_v_i])));
/* "sklearn/linear_model/cd_fast.pyx":517
* for i in xrange(1, n):
* d = fabs(a[i] - b[i])
* if d > m: # <<<<<<<<<<<<<<
* m = d
* return m
*/
__pyx_t_3 = (__pyx_v_d > __pyx_v_m);
if (__pyx_t_3) {
/* "sklearn/linear_model/cd_fast.pyx":518
* d = fabs(a[i] - b[i])
* if d > m:
* m = d # <<<<<<<<<<<<<<
* return m
*
*/
__pyx_v_m = __pyx_v_d;
goto __pyx_L5;
}
__pyx_L5:;
}
/* "sklearn/linear_model/cd_fast.pyx":519
* if d > m:
* m = d
* return m # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_m;
goto __pyx_L0;
__pyx_r = 0;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_9enet_coordinate_descent_multi_task(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent_multi_task[] = "Cython version of the coordinate descent algorithm\n for Elastic-Net mult-task regression\n\n We minimize\n\n 1 norm(y - X w, 2)^2 + l1_reg ||w||_21 + l2_reg norm(w, 2)^2\n - ----\n 2 2\n\n ";
static PyMethodDef __pyx_mdef_7sklearn_12linear_model_7cd_fast_9enet_coordinate_descent_multi_task = {__Pyx_NAMESTR("enet_coordinate_descent_multi_task"), (PyCFunction)__pyx_pw_7sklearn_12linear_model_7cd_fast_9enet_coordinate_descent_multi_task, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent_multi_task)};
static PyObject *__pyx_pw_7sklearn_12linear_model_7cd_fast_9enet_coordinate_descent_multi_task(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
PyArrayObject *__pyx_v_W = 0;
double __pyx_v_l1_reg;
double __pyx_v_l2_reg;
PyArrayObject *__pyx_v_X = 0;
PyArrayObject *__pyx_v_Y = 0;
int __pyx_v_max_iter;
double __pyx_v_tol;
PyObject *__pyx_r = 0;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("enet_coordinate_descent_multi_task (wrapper)", 0);
{
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__W,&__pyx_n_s__l1_reg,&__pyx_n_s__l2_reg,&__pyx_n_s__X,&__pyx_n_s__Y,&__pyx_n_s__max_iter,&__pyx_n_s__tol,0};
PyObject* values[7] = {0,0,0,0,0,0,0};
if (unlikely(__pyx_kwds)) {
Py_ssize_t kw_args;
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
switch (pos_args) {
case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
case 0: break;
default: goto __pyx_L5_argtuple_error;
}
kw_args = PyDict_Size(__pyx_kwds);
switch (pos_args) {
case 0:
if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__W)) != 0)) kw_args--;
else goto __pyx_L5_argtuple_error;
case 1:
if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__l1_reg)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 2:
if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__l2_reg)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 3:
if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__X)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 4:
if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__Y)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 5:
if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__max_iter)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
case 6:
if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__tol)) != 0)) kw_args--;
else {
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
}
if (unlikely(kw_args > 0)) {
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "enet_coordinate_descent_multi_task") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
} else if (PyTuple_GET_SIZE(__pyx_args) != 7) {
goto __pyx_L5_argtuple_error;
} else {
values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
}
__pyx_v_W = ((PyArrayObject *)values[0]);
__pyx_v_l1_reg = __pyx_PyFloat_AsDouble(values[1]); if (unlikely((__pyx_v_l1_reg == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 526; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_l2_reg = __pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_l2_reg == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 526; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_X = ((PyArrayObject *)values[3]);
__pyx_v_Y = ((PyArrayObject *)values[4]);
__pyx_v_max_iter = __Pyx_PyInt_AsInt(values[5]); if (unlikely((__pyx_v_max_iter == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 529; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_v_tol = __pyx_PyFloat_AsDouble(values[6]); if (unlikely((__pyx_v_tol == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 529; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
}
goto __pyx_L4_argument_unpacking_done;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("enet_coordinate_descent_multi_task", 1, 7, 7, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
__pyx_L3_error:;
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.enet_coordinate_descent_multi_task", __pyx_clineno, __pyx_lineno, __pyx_filename);
__Pyx_RefNannyFinishContext();
return NULL;
__pyx_L4_argument_unpacking_done:;
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_W), __pyx_ptype_5numpy_ndarray, 1, "W", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_X), __pyx_ptype_5numpy_ndarray, 1, "X", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 527; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_Y), __pyx_ptype_5numpy_ndarray, 1, "Y", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_r = __pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent_multi_task(__pyx_self, __pyx_v_W, __pyx_v_l1_reg, __pyx_v_l2_reg, __pyx_v_X, __pyx_v_Y, __pyx_v_max_iter, __pyx_v_tol);
goto __pyx_L0;
__pyx_L1_error:;
__pyx_r = NULL;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/linear_model/cd_fast.pyx":525
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent_multi_task(np.ndarray[DOUBLE, ndim=2, mode='fortran'] W, # <<<<<<<<<<<<<<
* double l1_reg, double l2_reg,
* np.ndarray[DOUBLE, ndim=2, mode='fortran'] X,
*/
static PyObject *__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent_multi_task(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_W, double __pyx_v_l1_reg, double __pyx_v_l2_reg, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_Y, int __pyx_v_max_iter, double __pyx_v_tol) {
unsigned int __pyx_v_n_samples;
unsigned int __pyx_v_n_features;
unsigned int __pyx_v_n_tasks;
PyArrayObject *__pyx_v_norm_cols_X = 0;
PyArrayObject *__pyx_v_R = 0;
PyArrayObject *__pyx_v_tmp = 0;
PyArrayObject *__pyx_v_w_ii = 0;
double __pyx_v_d_w_max;
double __pyx_v_w_max;
double __pyx_v_d_w_ii;
double __pyx_v_nn;
double __pyx_v_W_ii_abs_max;
double __pyx_v_gap;
double __pyx_v_d_w_tol;
unsigned int __pyx_v_ii;
unsigned int __pyx_v_n_iter;
PyObject *__pyx_v_XtA = NULL;
PyObject *__pyx_v_dual_norm_XtA = NULL;
double __pyx_v_R_norm;
double __pyx_v_w_norm;
PyObject *__pyx_v_const = NULL;
PyObject *__pyx_v_A_norm = NULL;
__Pyx_LocalBuf_ND __pyx_pybuffernd_R;
__Pyx_Buffer __pyx_pybuffer_R;
__Pyx_LocalBuf_ND __pyx_pybuffernd_W;
__Pyx_Buffer __pyx_pybuffer_W;
__Pyx_LocalBuf_ND __pyx_pybuffernd_X;
__Pyx_Buffer __pyx_pybuffer_X;
__Pyx_LocalBuf_ND __pyx_pybuffernd_Y;
__Pyx_Buffer __pyx_pybuffer_Y;
__Pyx_LocalBuf_ND __pyx_pybuffernd_norm_cols_X;
__Pyx_Buffer __pyx_pybuffer_norm_cols_X;
__Pyx_LocalBuf_ND __pyx_pybuffernd_tmp;
__Pyx_Buffer __pyx_pybuffer_tmp;
__Pyx_LocalBuf_ND __pyx_pybuffernd_w_ii;
__Pyx_Buffer __pyx_pybuffer_w_ii;
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
PyObject *__pyx_t_2 = NULL;
PyObject *__pyx_t_3 = NULL;
PyArrayObject *__pyx_t_4 = NULL;
PyObject *__pyx_t_5 = NULL;
PyObject *__pyx_t_6 = NULL;
PyArrayObject *__pyx_t_7 = NULL;
PyArrayObject *__pyx_t_8 = NULL;
int __pyx_t_9;
PyArrayObject *__pyx_t_10 = NULL;
int __pyx_t_11;
PyObject *__pyx_t_12 = NULL;
PyObject *__pyx_t_13 = NULL;
PyObject *__pyx_t_14 = NULL;
unsigned int __pyx_t_15;
unsigned int __pyx_t_16;
unsigned int __pyx_t_17;
unsigned int __pyx_t_18;
unsigned int __pyx_t_19;
int __pyx_t_20;
int __pyx_t_21;
int __pyx_t_22;
PyObject *__pyx_t_23 = NULL;
double __pyx_t_24;
PyObject *__pyx_t_25 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("enet_coordinate_descent_multi_task", 0);
__pyx_pybuffer_norm_cols_X.pybuffer.buf = NULL;
__pyx_pybuffer_norm_cols_X.refcount = 0;
__pyx_pybuffernd_norm_cols_X.data = NULL;
__pyx_pybuffernd_norm_cols_X.rcbuffer = &__pyx_pybuffer_norm_cols_X;
__pyx_pybuffer_R.pybuffer.buf = NULL;
__pyx_pybuffer_R.refcount = 0;
__pyx_pybuffernd_R.data = NULL;
__pyx_pybuffernd_R.rcbuffer = &__pyx_pybuffer_R;
__pyx_pybuffer_tmp.pybuffer.buf = NULL;
__pyx_pybuffer_tmp.refcount = 0;
__pyx_pybuffernd_tmp.data = NULL;
__pyx_pybuffernd_tmp.rcbuffer = &__pyx_pybuffer_tmp;
__pyx_pybuffer_w_ii.pybuffer.buf = NULL;
__pyx_pybuffer_w_ii.refcount = 0;
__pyx_pybuffernd_w_ii.data = NULL;
__pyx_pybuffernd_w_ii.rcbuffer = &__pyx_pybuffer_w_ii;
__pyx_pybuffer_W.pybuffer.buf = NULL;
__pyx_pybuffer_W.refcount = 0;
__pyx_pybuffernd_W.data = NULL;
__pyx_pybuffernd_W.rcbuffer = &__pyx_pybuffer_W;
__pyx_pybuffer_X.pybuffer.buf = NULL;
__pyx_pybuffer_X.refcount = 0;
__pyx_pybuffernd_X.data = NULL;
__pyx_pybuffernd_X.rcbuffer = &__pyx_pybuffer_X;
__pyx_pybuffer_Y.pybuffer.buf = NULL;
__pyx_pybuffer_Y.refcount = 0;
__pyx_pybuffernd_Y.data = NULL;
__pyx_pybuffernd_Y.rcbuffer = &__pyx_pybuffer_Y;
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_W.rcbuffer->pybuffer, (PyObject*)__pyx_v_W, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_F_CONTIGUOUS, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_W.diminfo[0].strides = __pyx_pybuffernd_W.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_W.diminfo[0].shape = __pyx_pybuffernd_W.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_W.diminfo[1].strides = __pyx_pybuffernd_W.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_W.diminfo[1].shape = __pyx_pybuffernd_W.rcbuffer->pybuffer.shape[1];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_X.rcbuffer->pybuffer, (PyObject*)__pyx_v_X, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_F_CONTIGUOUS, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_X.diminfo[0].strides = __pyx_pybuffernd_X.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_X.diminfo[0].shape = __pyx_pybuffernd_X.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_X.diminfo[1].strides = __pyx_pybuffernd_X.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_X.diminfo[1].shape = __pyx_pybuffernd_X.rcbuffer->pybuffer.shape[1];
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_Y.rcbuffer->pybuffer, (PyObject*)__pyx_v_Y, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_pybuffernd_Y.diminfo[0].strides = __pyx_pybuffernd_Y.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_Y.diminfo[0].shape = __pyx_pybuffernd_Y.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_Y.diminfo[1].strides = __pyx_pybuffernd_Y.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_Y.diminfo[1].shape = __pyx_pybuffernd_Y.rcbuffer->pybuffer.shape[1];
/* "sklearn/linear_model/cd_fast.pyx":541
* """
* # get the data information into easy vars
* cdef unsigned int n_samples = X.shape[0] # <<<<<<<<<<<<<<
* cdef unsigned int n_features = X.shape[1]
* cdef unsigned int n_tasks = Y.shape[1]
*/
__pyx_v_n_samples = (__pyx_v_X->dimensions[0]);
/* "sklearn/linear_model/cd_fast.pyx":542
* # get the data information into easy vars
* cdef unsigned int n_samples = X.shape[0]
* cdef unsigned int n_features = X.shape[1] # <<<<<<<<<<<<<<
* cdef unsigned int n_tasks = Y.shape[1]
*
*/
__pyx_v_n_features = (__pyx_v_X->dimensions[1]);
/* "sklearn/linear_model/cd_fast.pyx":543
* cdef unsigned int n_samples = X.shape[0]
* cdef unsigned int n_features = X.shape[1]
* cdef unsigned int n_tasks = Y.shape[1] # <<<<<<<<<<<<<<
*
* # compute norms of the columns of X
*/
__pyx_v_n_tasks = (__pyx_v_Y->dimensions[1]);
/* "sklearn/linear_model/cd_fast.pyx":546
*
* # compute norms of the columns of X
* cdef np.ndarray[DOUBLE, ndim=1] norm_cols_X = (X ** 2).sum(axis=0) # <<<<<<<<<<<<<<
*
* # initial value of the residuals
*/
__pyx_t_1 = PyNumber_Power(((PyObject *)__pyx_v_X), __pyx_int_2, Py_None); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__sum); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_1));
if (PyDict_SetItem(__pyx_t_1, ((PyObject *)__pyx_n_s__axis), __pyx_int_0) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_empty_tuple), ((PyObject *)__pyx_t_1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_4 = ((PyArrayObject *)__pyx_t_3);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer, (PyObject*)__pyx_t_4, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
__pyx_v_norm_cols_X = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 546; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_norm_cols_X.diminfo[0].strides = __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_norm_cols_X.diminfo[0].shape = __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_4 = 0;
__pyx_v_norm_cols_X = ((PyArrayObject *)__pyx_t_3);
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":551
* cdef np.ndarray[DOUBLE, ndim=2, mode='c'] R
*
* cdef np.ndarray[DOUBLE, ndim=1, mode='c'] tmp = np.zeros(n_tasks, dtype=np.float) # <<<<<<<<<<<<<<
* cdef np.ndarray[DOUBLE, ndim=1] w_ii = np.zeros(n_tasks, dtype=np.float)
* cdef double d_w_max
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__zeros); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyLong_FromUnsignedLong(__pyx_v_n_tasks); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__pyx_t_3 = 0;
__pyx_t_3 = PyDict_New(); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_3));
__pyx_t_5 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_6 = PyObject_GetAttr(__pyx_t_5, __pyx_n_s__float); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__dtype), __pyx_t_6) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_3)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_7 = ((PyArrayObject *)__pyx_t_6);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_tmp.rcbuffer->pybuffer, (PyObject*)__pyx_t_7, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 1, 0, __pyx_stack) == -1)) {
__pyx_v_tmp = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_tmp.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_tmp.diminfo[0].strides = __pyx_pybuffernd_tmp.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_tmp.diminfo[0].shape = __pyx_pybuffernd_tmp.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_7 = 0;
__pyx_v_tmp = ((PyArrayObject *)__pyx_t_6);
__pyx_t_6 = 0;
/* "sklearn/linear_model/cd_fast.pyx":552
*
* cdef np.ndarray[DOUBLE, ndim=1, mode='c'] tmp = np.zeros(n_tasks, dtype=np.float)
* cdef np.ndarray[DOUBLE, ndim=1] w_ii = np.zeros(n_tasks, dtype=np.float) # <<<<<<<<<<<<<<
* cdef double d_w_max
* cdef double w_max
*/
__pyx_t_6 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_6, __pyx_n_s__zeros); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyLong_FromUnsignedLong(__pyx_v_n_tasks); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__pyx_t_6 = 0;
__pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_6));
__pyx_t_1 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_t_5 = PyObject_GetAttr(__pyx_t_1, __pyx_n_s__float); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
if (PyDict_SetItem(__pyx_t_6, ((PyObject *)__pyx_n_s__dtype), __pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_6)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
if (!(likely(((__pyx_t_5) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_5, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_8 = ((PyArrayObject *)__pyx_t_5);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_w_ii.rcbuffer->pybuffer, (PyObject*)__pyx_t_8, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) {
__pyx_v_w_ii = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_w_ii.rcbuffer->pybuffer.buf = NULL;
{__pyx_filename = __pyx_f[0]; __pyx_lineno = 552; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else {__pyx_pybuffernd_w_ii.diminfo[0].strides = __pyx_pybuffernd_w_ii.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_w_ii.diminfo[0].shape = __pyx_pybuffernd_w_ii.rcbuffer->pybuffer.shape[0];
}
}
__pyx_t_8 = 0;
__pyx_v_w_ii = ((PyArrayObject *)__pyx_t_5);
__pyx_t_5 = 0;
/* "sklearn/linear_model/cd_fast.pyx":558
* cdef double nn
* cdef double W_ii_abs_max
* cdef double gap = tol + 1.0 # <<<<<<<<<<<<<<
* cdef double d_w_tol = tol
* cdef unsigned int ii
*/
__pyx_v_gap = (__pyx_v_tol + 1.0);
/* "sklearn/linear_model/cd_fast.pyx":559
* cdef double W_ii_abs_max
* cdef double gap = tol + 1.0
* cdef double d_w_tol = tol # <<<<<<<<<<<<<<
* cdef unsigned int ii
* cdef unsigned int n_iter
*/
__pyx_v_d_w_tol = __pyx_v_tol;
/* "sklearn/linear_model/cd_fast.pyx":563
* cdef unsigned int n_iter
*
* if l1_reg == 0: # <<<<<<<<<<<<<<
* warnings.warn("Coordinate descent with l1_reg=0 may lead to unexpected"
* " results and is discouraged.")
*/
__pyx_t_9 = (__pyx_v_l1_reg == 0.0);
if (__pyx_t_9) {
/* "sklearn/linear_model/cd_fast.pyx":564
*
* if l1_reg == 0:
* warnings.warn("Coordinate descent with l1_reg=0 may lead to unexpected" # <<<<<<<<<<<<<<
* " results and is discouraged.")
*
*/
__pyx_t_5 = __Pyx_GetName(__pyx_m, __pyx_n_s__warnings); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 564; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_6 = PyObject_GetAttr(__pyx_t_5, __pyx_n_s__warn); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 564; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_k_tuple_7), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 564; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
goto __pyx_L3;
}
__pyx_L3:;
/* "sklearn/linear_model/cd_fast.pyx":567
* " results and is discouraged.")
*
* R = Y - np.dot(X, W.T) # <<<<<<<<<<<<<<
* R = np.asarray(R, order='C')
*
*/
__pyx_t_5 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_6 = PyObject_GetAttr(__pyx_t_5, __pyx_n_s__dot); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = PyObject_GetAttr(((PyObject *)__pyx_v_W), __pyx_n_s__T); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_X));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_X));
__Pyx_GIVEREF(((PyObject *)__pyx_v_X));
PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_5);
__Pyx_GIVEREF(__pyx_t_5);
__pyx_t_5 = 0;
__pyx_t_5 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__pyx_t_2 = PyNumber_Subtract(((PyObject *)__pyx_v_Y), __pyx_t_5); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_10 = ((PyArrayObject *)__pyx_t_2);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__pyx_t_11 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 2, 0, __pyx_stack);
if (unlikely(__pyx_t_11 < 0)) {
PyErr_Fetch(&__pyx_t_12, &__pyx_t_13, &__pyx_t_14);
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_v_R, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 2, 0, __pyx_stack) == -1)) {
Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_13); Py_XDECREF(__pyx_t_14);
__Pyx_RaiseBufferFallbackError();
} else {
PyErr_Restore(__pyx_t_12, __pyx_t_13, __pyx_t_14);
}
}
__pyx_pybuffernd_R.diminfo[0].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_R.diminfo[0].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_R.diminfo[1].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_R.diminfo[1].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[1];
if (unlikely(__pyx_t_11 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 567; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_10 = 0;
__pyx_v_R = ((PyArrayObject *)__pyx_t_2);
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":568
*
* R = Y - np.dot(X, W.T)
* R = np.asarray(R, order='C') # <<<<<<<<<<<<<<
*
* # tol = tol * linalg.norm(Y, ord='fro') ** 2
*/
__pyx_t_2 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_5 = PyObject_GetAttr(__pyx_t_2, __pyx_n_s__asarray); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_6));
if (PyDict_SetItem(__pyx_t_6, ((PyObject *)__pyx_n_s__order), ((PyObject *)__pyx_n_s__C)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_3 = PyObject_Call(__pyx_t_5, ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_6)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_10 = ((PyArrayObject *)__pyx_t_3);
{
__Pyx_BufFmt_StackElem __pyx_stack[1];
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__pyx_t_11 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_t_10, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 2, 0, __pyx_stack);
if (unlikely(__pyx_t_11 < 0)) {
PyErr_Fetch(&__pyx_t_14, &__pyx_t_13, &__pyx_t_12);
if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_R.rcbuffer->pybuffer, (PyObject*)__pyx_v_R, &__Pyx_TypeInfo_nn___pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 2, 0, __pyx_stack) == -1)) {
Py_XDECREF(__pyx_t_14); Py_XDECREF(__pyx_t_13); Py_XDECREF(__pyx_t_12);
__Pyx_RaiseBufferFallbackError();
} else {
PyErr_Restore(__pyx_t_14, __pyx_t_13, __pyx_t_12);
}
}
__pyx_pybuffernd_R.diminfo[0].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_R.diminfo[0].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_R.diminfo[1].strides = __pyx_pybuffernd_R.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_R.diminfo[1].shape = __pyx_pybuffernd_R.rcbuffer->pybuffer.shape[1];
if (unlikely(__pyx_t_11 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 568; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_10 = 0;
__Pyx_DECREF(((PyObject *)__pyx_v_R));
__pyx_v_R = ((PyArrayObject *)__pyx_t_3);
__pyx_t_3 = 0;
/* "sklearn/linear_model/cd_fast.pyx":571
*
* # tol = tol * linalg.norm(Y, ord='fro') ** 2
* tol = tol * dnrm2(n_samples * n_tasks, <DOUBLE*>Y.data, 1) ** 2 # <<<<<<<<<<<<<<
*
* for n_iter in range(max_iter):
*/
__pyx_v_tol = (__pyx_v_tol * pow(cblas_dnrm2((__pyx_v_n_samples * __pyx_v_n_tasks), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_Y->data), 1), 2.0));
/* "sklearn/linear_model/cd_fast.pyx":573
* tol = tol * dnrm2(n_samples * n_tasks, <DOUBLE*>Y.data, 1) ** 2
*
* for n_iter in range(max_iter): # <<<<<<<<<<<<<<
* w_max = 0.0
* d_w_max = 0.0
*/
__pyx_t_11 = __pyx_v_max_iter;
for (__pyx_t_15 = 0; __pyx_t_15 < __pyx_t_11; __pyx_t_15+=1) {
__pyx_v_n_iter = __pyx_t_15;
/* "sklearn/linear_model/cd_fast.pyx":574
*
* for n_iter in range(max_iter):
* w_max = 0.0 # <<<<<<<<<<<<<<
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates
*/
__pyx_v_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":575
* for n_iter in range(max_iter):
* w_max = 0.0
* d_w_max = 0.0 # <<<<<<<<<<<<<<
* for ii in xrange(n_features): # Loop over coordinates
* if norm_cols_X[ii] == 0.0:
*/
__pyx_v_d_w_max = 0.0;
/* "sklearn/linear_model/cd_fast.pyx":576
* w_max = 0.0
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates # <<<<<<<<<<<<<<
* if norm_cols_X[ii] == 0.0:
* continue
*/
__pyx_t_16 = __pyx_v_n_features;
for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_16; __pyx_t_17+=1) {
__pyx_v_ii = __pyx_t_17;
/* "sklearn/linear_model/cd_fast.pyx":577
* d_w_max = 0.0
* for ii in xrange(n_features): # Loop over coordinates
* if norm_cols_X[ii] == 0.0: # <<<<<<<<<<<<<<
* continue
*
*/
__pyx_t_18 = __pyx_v_ii;
__pyx_t_9 = ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_18, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides)) == 0.0);
if (__pyx_t_9) {
/* "sklearn/linear_model/cd_fast.pyx":578
* for ii in xrange(n_features): # Loop over coordinates
* if norm_cols_X[ii] == 0.0:
* continue # <<<<<<<<<<<<<<
*
* # w_ii = W[:, ii] # Store previous value
*/
goto __pyx_L6_continue;
goto __pyx_L8;
}
__pyx_L8:;
/* "sklearn/linear_model/cd_fast.pyx":582
* # w_ii = W[:, ii] # Store previous value
* dcopy(n_tasks, <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)),
* 1, <DOUBLE*>w_ii.data, 1) # <<<<<<<<<<<<<<
*
* # if np.sum(w_ii ** 2) != 0.0: # can do better
*/
cblas_dcopy(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_w_ii->data), 1);
/* "sklearn/linear_model/cd_fast.pyx":585
*
* # if np.sum(w_ii ** 2) != 0.0: # can do better
* if dnrm2(n_tasks, <DOUBLE*>w_ii.data, 1) != 0.0: # <<<<<<<<<<<<<<
* # R += np.dot(X[:, ii][:, None], w_ii[None, :]) # rank 1 update
* dger(CblasRowMajor, n_samples, n_tasks, 1.0,
*/
__pyx_t_9 = (cblas_dnrm2(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_w_ii->data), 1) != 0.0);
if (__pyx_t_9) {
/* "sklearn/linear_model/cd_fast.pyx":590
* <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)), 1,
* <DOUBLE*>w_ii.data, 1,
* <DOUBLE*>R.data, n_tasks) # <<<<<<<<<<<<<<
*
* # tmp = np.dot(X[:, ii][None, :], R).ravel()
*/
cblas_dger(CblasRowMajor, __pyx_v_n_samples, __pyx_v_n_tasks, 1.0, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_X->data + ((__pyx_v_ii * __pyx_v_n_samples) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_w_ii->data), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), __pyx_v_n_tasks);
goto __pyx_L9;
}
__pyx_L9:;
/* "sklearn/linear_model/cd_fast.pyx":596
* n_samples, n_tasks, 1.0, <DOUBLE*>R.data,
* n_tasks, <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)),
* 1, 0.0, <DOUBLE*>tmp.data, 1) # <<<<<<<<<<<<<<
*
* # nn = sqrt(np.sum(tmp ** 2))
*/
cblas_dgemv(CblasRowMajor, CblasTrans, __pyx_v_n_samples, __pyx_v_n_tasks, 1.0, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), __pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_X->data + ((__pyx_v_ii * __pyx_v_n_samples) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, 0.0, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_tmp->data), 1);
/* "sklearn/linear_model/cd_fast.pyx":599
*
* # nn = sqrt(np.sum(tmp ** 2))
* nn = dnrm2(n_tasks, <DOUBLE*>tmp.data, 1) # <<<<<<<<<<<<<<
*
* # W[:, ii] = tmp * fmax(1. - l1_reg / nn, 0) / (norm_cols_X[ii] + l2_reg)
*/
__pyx_v_nn = cblas_dnrm2(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_tmp->data), 1);
/* "sklearn/linear_model/cd_fast.pyx":603
* # W[:, ii] = tmp * fmax(1. - l1_reg / nn, 0) / (norm_cols_X[ii] + l2_reg)
* dcopy(n_tasks, <DOUBLE*>tmp.data,
* 1, <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1) # <<<<<<<<<<<<<<
* dscal(n_tasks, fmax(1. - l1_reg / nn, 0) / (norm_cols_X[ii] + l2_reg),
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1)
*/
cblas_dcopy(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_tmp->data), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1);
/* "sklearn/linear_model/cd_fast.pyx":604
* dcopy(n_tasks, <DOUBLE*>tmp.data,
* 1, <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1)
* dscal(n_tasks, fmax(1. - l1_reg / nn, 0) / (norm_cols_X[ii] + l2_reg), # <<<<<<<<<<<<<<
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1)
*
*/
__pyx_t_19 = __pyx_v_ii;
/* "sklearn/linear_model/cd_fast.pyx":605
* 1, <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1)
* dscal(n_tasks, fmax(1. - l1_reg / nn, 0) / (norm_cols_X[ii] + l2_reg),
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1) # <<<<<<<<<<<<<<
*
* # if np.sum(W[:, ii] ** 2) != 0.0: # can do better
*/
cblas_dscal(__pyx_v_n_tasks, (__pyx_f_7sklearn_12linear_model_7cd_fast_fmax((1. - (__pyx_v_l1_reg / __pyx_v_nn)), 0.0) / ((*__Pyx_BufPtrStrided1d(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *, __pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer.buf, __pyx_t_19, __pyx_pybuffernd_norm_cols_X.diminfo[0].strides)) + __pyx_v_l2_reg)), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1);
/* "sklearn/linear_model/cd_fast.pyx":608
*
* # if np.sum(W[:, ii] ** 2) != 0.0: # can do better
* if dnrm2(n_tasks, <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1) != 0.0: # <<<<<<<<<<<<<<
* # R -= np.dot(X[:, ii][:, None], W[:, ii][None, :]) # Update residual : rank 1 update
* dger(CblasRowMajor, n_samples, n_tasks, -1.0,
*/
__pyx_t_9 = (cblas_dnrm2(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1) != 0.0);
if (__pyx_t_9) {
/* "sklearn/linear_model/cd_fast.pyx":613
* <DOUBLE*>(X.data + ii * n_samples * sizeof(DOUBLE)), 1,
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)), 1,
* <DOUBLE*>R.data, n_tasks) # <<<<<<<<<<<<<<
*
* # update the maximum absolute coefficient update
*/
cblas_dger(CblasRowMajor, __pyx_v_n_samples, __pyx_v_n_tasks, -1.0, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_X->data + ((__pyx_v_ii * __pyx_v_n_samples) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), 1, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), __pyx_v_n_tasks);
goto __pyx_L10;
}
__pyx_L10:;
/* "sklearn/linear_model/cd_fast.pyx":618
* d_w_ii = diff_abs_max(n_tasks,
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)),
* <DOUBLE*>w_ii.data) # <<<<<<<<<<<<<<
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii
*/
__pyx_v_d_w_ii = __pyx_f_7sklearn_12linear_model_7cd_fast_diff_abs_max(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_w_ii->data));
/* "sklearn/linear_model/cd_fast.pyx":619
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)),
* <DOUBLE*>w_ii.data)
* if d_w_ii > d_w_max: # <<<<<<<<<<<<<<
* d_w_max = d_w_ii
*
*/
__pyx_t_9 = (__pyx_v_d_w_ii > __pyx_v_d_w_max);
if (__pyx_t_9) {
/* "sklearn/linear_model/cd_fast.pyx":620
* <DOUBLE*>w_ii.data)
* if d_w_ii > d_w_max:
* d_w_max = d_w_ii # <<<<<<<<<<<<<<
*
* W_ii_abs_max = abs_max(n_tasks,
*/
__pyx_v_d_w_max = __pyx_v_d_w_ii;
goto __pyx_L11;
}
__pyx_L11:;
/* "sklearn/linear_model/cd_fast.pyx":623
*
* W_ii_abs_max = abs_max(n_tasks,
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE))) # <<<<<<<<<<<<<<
* if W_ii_abs_max > w_max:
* w_max = W_ii_abs_max
*/
__pyx_v_W_ii_abs_max = __pyx_f_7sklearn_12linear_model_7cd_fast_abs_max(__pyx_v_n_tasks, ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)(__pyx_v_W->data + ((__pyx_v_ii * __pyx_v_n_tasks) * (sizeof(__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE))))));
/* "sklearn/linear_model/cd_fast.pyx":624
* W_ii_abs_max = abs_max(n_tasks,
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)))
* if W_ii_abs_max > w_max: # <<<<<<<<<<<<<<
* w_max = W_ii_abs_max
*
*/
__pyx_t_9 = (__pyx_v_W_ii_abs_max > __pyx_v_w_max);
if (__pyx_t_9) {
/* "sklearn/linear_model/cd_fast.pyx":625
* <DOUBLE*>(W.data + ii * n_tasks * sizeof(DOUBLE)))
* if W_ii_abs_max > w_max:
* w_max = W_ii_abs_max # <<<<<<<<<<<<<<
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1:
*/
__pyx_v_w_max = __pyx_v_W_ii_abs_max;
goto __pyx_L12;
}
__pyx_L12:;
__pyx_L6_continue:;
}
/* "sklearn/linear_model/cd_fast.pyx":627
* w_max = W_ii_abs_max
*
* if w_max == 0.0 or d_w_max / w_max < d_w_tol or n_iter == max_iter - 1: # <<<<<<<<<<<<<<
* # the biggest coordinate update of this iteration was smaller than
* # the tolerance: check the duality gap as ultimate stopping
*/
__pyx_t_9 = (__pyx_v_w_max == 0.0);
if (!__pyx_t_9) {
__pyx_t_20 = ((__pyx_v_d_w_max / __pyx_v_w_max) < __pyx_v_d_w_tol);
if (!__pyx_t_20) {
__pyx_t_21 = (__pyx_v_n_iter == (__pyx_v_max_iter - 1));
__pyx_t_22 = __pyx_t_21;
} else {
__pyx_t_22 = __pyx_t_20;
}
__pyx_t_20 = __pyx_t_22;
} else {
__pyx_t_20 = __pyx_t_9;
}
if (__pyx_t_20) {
/* "sklearn/linear_model/cd_fast.pyx":632
* # criterion
*
* XtA = np.dot(X.T, R) - l2_reg * W.T # <<<<<<<<<<<<<<
* dual_norm_XtA = np.max(np.sqrt(np.sum(XtA ** 2, axis=1)))
*
*/
__pyx_t_3 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_6 = PyObject_GetAttr(__pyx_t_3, __pyx_n_s__dot); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyObject_GetAttr(((PyObject *)__pyx_v_X), __pyx_n_s__T); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__Pyx_INCREF(((PyObject *)__pyx_v_R));
PyTuple_SET_ITEM(__pyx_t_2, 1, ((PyObject *)__pyx_v_R));
__Pyx_GIVEREF(((PyObject *)__pyx_v_R));
__pyx_t_3 = 0;
__pyx_t_3 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__pyx_t_2 = PyFloat_FromDouble(__pyx_v_l2_reg); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__pyx_t_6 = PyObject_GetAttr(((PyObject *)__pyx_v_W), __pyx_n_s__T); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_5 = PyNumber_Multiply(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyNumber_Subtract(__pyx_t_3, __pyx_t_5); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 632; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_XDECREF(__pyx_v_XtA);
__pyx_v_XtA = __pyx_t_6;
__pyx_t_6 = 0;
/* "sklearn/linear_model/cd_fast.pyx":633
*
* XtA = np.dot(X.T, R) - l2_reg * W.T
* dual_norm_XtA = np.max(np.sqrt(np.sum(XtA ** 2, axis=1))) # <<<<<<<<<<<<<<
*
* # TODO: use squared L2 norm directly
*/
__pyx_t_6 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_5 = PyObject_GetAttr(__pyx_t_6, __pyx_n_s__max); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_6, __pyx_n_s__sqrt); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_2 = PyObject_GetAttr(__pyx_t_6, __pyx_n_s__sum); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyNumber_Power(__pyx_v_XtA, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__pyx_t_6 = 0;
__pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_6));
if (PyDict_SetItem(__pyx_t_6, ((PyObject *)__pyx_n_s__axis), __pyx_int_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_23 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), ((PyObject *)__pyx_t_6)); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_23);
__Pyx_GIVEREF(__pyx_t_23);
__pyx_t_23 = 0;
__pyx_t_23 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_23);
__Pyx_GIVEREF(__pyx_t_23);
__pyx_t_23 = 0;
__pyx_t_23 = PyObject_Call(__pyx_t_5, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__pyx_v_dual_norm_XtA = __pyx_t_23;
__pyx_t_23 = 0;
/* "sklearn/linear_model/cd_fast.pyx":638
* # R_norm = linalg.norm(R, ord='fro')
* # w_norm = linalg.norm(W, ord='fro')
* R_norm = dnrm2(n_samples * n_tasks, <DOUBLE*>R.data, 1) # <<<<<<<<<<<<<<
* w_norm = dnrm2(n_features * n_tasks, <DOUBLE*>W.data, 1)
* if (dual_norm_XtA > l1_reg):
*/
__pyx_v_R_norm = cblas_dnrm2((__pyx_v_n_samples * __pyx_v_n_tasks), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_R->data), 1);
/* "sklearn/linear_model/cd_fast.pyx":639
* # w_norm = linalg.norm(W, ord='fro')
* R_norm = dnrm2(n_samples * n_tasks, <DOUBLE*>R.data, 1)
* w_norm = dnrm2(n_features * n_tasks, <DOUBLE*>W.data, 1) # <<<<<<<<<<<<<<
* if (dual_norm_XtA > l1_reg):
* const = l1_reg / dual_norm_XtA
*/
__pyx_v_w_norm = cblas_dnrm2((__pyx_v_n_features * __pyx_v_n_tasks), ((__pyx_t_7sklearn_12linear_model_7cd_fast_DOUBLE *)__pyx_v_W->data), 1);
/* "sklearn/linear_model/cd_fast.pyx":640
* R_norm = dnrm2(n_samples * n_tasks, <DOUBLE*>R.data, 1)
* w_norm = dnrm2(n_features * n_tasks, <DOUBLE*>W.data, 1)
* if (dual_norm_XtA > l1_reg): # <<<<<<<<<<<<<<
* const = l1_reg / dual_norm_XtA
* A_norm = R_norm * const
*/
__pyx_t_23 = PyFloat_FromDouble(__pyx_v_l1_reg); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__pyx_t_6 = PyObject_RichCompare(__pyx_v_dual_norm_XtA, __pyx_t_23, Py_GT); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__pyx_t_20 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_20 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
if (__pyx_t_20) {
/* "sklearn/linear_model/cd_fast.pyx":641
* w_norm = dnrm2(n_features * n_tasks, <DOUBLE*>W.data, 1)
* if (dual_norm_XtA > l1_reg):
* const = l1_reg / dual_norm_XtA # <<<<<<<<<<<<<<
* A_norm = R_norm * const
* gap = 0.5 * (R_norm ** 2 + A_norm ** 2)
*/
__pyx_t_6 = PyFloat_FromDouble(__pyx_v_l1_reg); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 641; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_23 = __Pyx_PyNumber_Divide(__pyx_t_6, __pyx_v_dual_norm_XtA); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 641; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_23;
__pyx_t_23 = 0;
/* "sklearn/linear_model/cd_fast.pyx":642
* if (dual_norm_XtA > l1_reg):
* const = l1_reg / dual_norm_XtA
* A_norm = R_norm * const # <<<<<<<<<<<<<<
* gap = 0.5 * (R_norm ** 2 + A_norm ** 2)
* else:
*/
__pyx_t_23 = PyFloat_FromDouble(__pyx_v_R_norm); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__pyx_t_6 = PyNumber_Multiply(__pyx_t_23, __pyx_v_const); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 642; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__Pyx_XDECREF(__pyx_v_A_norm);
__pyx_v_A_norm = __pyx_t_6;
__pyx_t_6 = 0;
/* "sklearn/linear_model/cd_fast.pyx":643
* const = l1_reg / dual_norm_XtA
* A_norm = R_norm * const
* gap = 0.5 * (R_norm ** 2 + A_norm ** 2) # <<<<<<<<<<<<<<
* else:
* const = 1.0
*/
__pyx_t_6 = PyFloat_FromDouble(0.5); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_23 = PyFloat_FromDouble(pow(__pyx_v_R_norm, 2.0)); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__pyx_t_5 = PyNumber_Power(__pyx_v_A_norm, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyNumber_Add(__pyx_t_23, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = PyNumber_Multiply(__pyx_t_6, __pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_24 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_v_gap = __pyx_t_24;
goto __pyx_L14;
}
/*else*/ {
/* "sklearn/linear_model/cd_fast.pyx":645
* gap = 0.5 * (R_norm ** 2 + A_norm ** 2)
* else:
* const = 1.0 # <<<<<<<<<<<<<<
* gap = R_norm ** 2
*
*/
__pyx_t_5 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 645; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_XDECREF(__pyx_v_const);
__pyx_v_const = __pyx_t_5;
__pyx_t_5 = 0;
/* "sklearn/linear_model/cd_fast.pyx":646
* else:
* const = 1.0
* gap = R_norm ** 2 # <<<<<<<<<<<<<<
*
* gap += l1_reg * np.sqrt(np.sum(W ** 2, axis=0)).sum() - const * np.sum(R * Y) + \
*/
__pyx_v_gap = pow(__pyx_v_R_norm, 2.0);
}
__pyx_L14:;
/* "sklearn/linear_model/cd_fast.pyx":648
* gap = R_norm ** 2
*
* gap += l1_reg * np.sqrt(np.sum(W ** 2, axis=0)).sum() - const * np.sum(R * Y) + \ # <<<<<<<<<<<<<<
* 0.5 * l2_reg * (1 + const ** 2) * (w_norm ** 2)
*
*/
__pyx_t_5 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_l1_reg); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_6 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_23 = PyObject_GetAttr(__pyx_t_6, __pyx_n_s__sqrt); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_1 = PyObject_GetAttr(__pyx_t_6, __pyx_n_s__sum); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyNumber_Power(((PyObject *)__pyx_v_W), __pyx_int_2, Py_None); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_6);
__Pyx_GIVEREF(__pyx_t_6);
__pyx_t_6 = 0;
__pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_6));
if (PyDict_SetItem(__pyx_t_6, ((PyObject *)__pyx_n_s__axis), __pyx_int_0) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_25 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_6)); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
__pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_25);
__Pyx_GIVEREF(__pyx_t_25);
__pyx_t_25 = 0;
__pyx_t_25 = PyObject_Call(__pyx_t_23, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0;
__pyx_t_6 = PyObject_GetAttr(__pyx_t_25, __pyx_n_s__sum); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0;
__pyx_t_25 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyNumber_Multiply(__pyx_t_3, __pyx_t_25); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0;
__pyx_t_25 = __Pyx_GetName(__pyx_m, __pyx_n_s__np); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__pyx_t_3 = PyObject_GetAttr(__pyx_t_25, __pyx_n_s__sum); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0;
__pyx_t_25 = PyNumber_Multiply(((PyObject *)__pyx_v_R), ((PyObject *)__pyx_v_Y)); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__pyx_t_23 = PyTuple_New(1); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_25);
__Pyx_GIVEREF(__pyx_t_25);
__pyx_t_25 = 0;
__pyx_t_25 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_23), NULL); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__Pyx_DECREF(((PyObject *)__pyx_t_23)); __pyx_t_23 = 0;
__pyx_t_23 = PyNumber_Multiply(__pyx_v_const, __pyx_t_25); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0;
__pyx_t_25 = PyNumber_Subtract(__pyx_t_6, __pyx_t_23); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_25);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
/* "sklearn/linear_model/cd_fast.pyx":649
*
* gap += l1_reg * np.sqrt(np.sum(W ** 2, axis=0)).sum() - const * np.sum(R * Y) + \
* 0.5 * l2_reg * (1 + const ** 2) * (w_norm ** 2) # <<<<<<<<<<<<<<
*
* if gap < tol:
*/
__pyx_t_23 = PyFloat_FromDouble((0.5 * __pyx_v_l2_reg)); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__pyx_t_6 = PyNumber_Power(__pyx_v_const, __pyx_int_2, Py_None); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__pyx_t_3 = PyNumber_Add(__pyx_int_1, __pyx_t_6); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__pyx_t_6 = PyNumber_Multiply(__pyx_t_23, __pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_6);
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyFloat_FromDouble(pow(__pyx_v_w_norm, 2.0)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_23 = PyNumber_Multiply(__pyx_t_6, __pyx_t_3); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Add(__pyx_t_25, __pyx_t_23); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0;
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__pyx_t_23 = PyNumber_InPlaceAdd(__pyx_t_5, __pyx_t_3); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_23); if (unlikely((__pyx_t_24 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
__pyx_v_gap = __pyx_t_24;
/* "sklearn/linear_model/cd_fast.pyx":651
* 0.5 * l2_reg * (1 + const ** 2) * (w_norm ** 2)
*
* if gap < tol: # <<<<<<<<<<<<<<
* # return if we reached desired tolerance
* break
*/
__pyx_t_20 = (__pyx_v_gap < __pyx_v_tol);
if (__pyx_t_20) {
/* "sklearn/linear_model/cd_fast.pyx":653
* if gap < tol:
* # return if we reached desired tolerance
* break # <<<<<<<<<<<<<<
*
* return W, gap, tol
*/
goto __pyx_L5_break;
goto __pyx_L15;
}
__pyx_L15:;
goto __pyx_L13;
}
__pyx_L13:;
}
__pyx_L5_break:;
/* "sklearn/linear_model/cd_fast.pyx":655
* break
*
* return W, gap, tol # <<<<<<<<<<<<<<
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_23 = PyFloat_FromDouble(__pyx_v_gap); if (unlikely(!__pyx_t_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_23);
__pyx_t_3 = PyFloat_FromDouble(__pyx_v_tol); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_INCREF(((PyObject *)__pyx_v_W));
PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_W));
__Pyx_GIVEREF(((PyObject *)__pyx_v_W));
PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_23);
__Pyx_GIVEREF(__pyx_t_23);
PyTuple_SET_ITEM(__pyx_t_5, 2, __pyx_t_3);
__Pyx_GIVEREF(__pyx_t_3);
__pyx_t_23 = 0;
__pyx_t_3 = 0;
__pyx_r = ((PyObject *)__pyx_t_5);
__pyx_t_5 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_5);
__Pyx_XDECREF(__pyx_t_6);
__Pyx_XDECREF(__pyx_t_23);
__Pyx_XDECREF(__pyx_t_25);
{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_W.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_Y.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_tmp.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w_ii.rcbuffer->pybuffer);
__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
__Pyx_AddTraceback("sklearn.linear_model.cd_fast.enet_coordinate_descent_multi_task", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
goto __pyx_L2;
__pyx_L0:;
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_R.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_W.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_Y.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_norm_cols_X.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_tmp.rcbuffer->pybuffer);
__Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_w_ii.rcbuffer->pybuffer);
__pyx_L2:;
__Pyx_XDECREF((PyObject *)__pyx_v_norm_cols_X);
__Pyx_XDECREF((PyObject *)__pyx_v_R);
__Pyx_XDECREF((PyObject *)__pyx_v_tmp);
__Pyx_XDECREF((PyObject *)__pyx_v_w_ii);
__Pyx_XDECREF(__pyx_v_XtA);
__Pyx_XDECREF(__pyx_v_dual_norm_XtA);
__Pyx_XDECREF(__pyx_v_const);
__Pyx_XDECREF(__pyx_v_A_norm);
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
int __pyx_r;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0);
__pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags));
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":194
* # experimental exception made for __getbuffer__ and __releasebuffer__
* # -- the details of this may change.
* def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<<
* # This implementation of getbuffer is geared towards Cython
* # requirements, and does not yet fulfill the PEP.
*/
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
int __pyx_v_copy_shape;
int __pyx_v_i;
int __pyx_v_ndim;
int __pyx_v_endian_detector;
int __pyx_v_little_endian;
int __pyx_v_t;
char *__pyx_v_f;
PyArray_Descr *__pyx_v_descr = 0;
int __pyx_v_offset;
int __pyx_v_hasfields;
int __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
PyObject *__pyx_t_4 = NULL;
int __pyx_t_5;
int __pyx_t_6;
int __pyx_t_7;
PyObject *__pyx_t_8 = NULL;
char *__pyx_t_9;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("__getbuffer__", 0);
if (__pyx_v_info != NULL) {
__pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None);
__Pyx_GIVEREF(__pyx_v_info->obj);
}
/* "numpy.pxd":200
* # of flags
*
* if info == NULL: return # <<<<<<<<<<<<<<
*
* cdef int copy_shape, i, ndim
*/
__pyx_t_1 = (__pyx_v_info == NULL);
if (__pyx_t_1) {
__pyx_r = 0;
goto __pyx_L0;
goto __pyx_L3;
}
__pyx_L3:;
/* "numpy.pxd":203
*
* cdef int copy_shape, i, ndim
* cdef int endian_detector = 1 # <<<<<<<<<<<<<<
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
*
*/
__pyx_v_endian_detector = 1;
/* "numpy.pxd":204
* cdef int copy_shape, i, ndim
* cdef int endian_detector = 1
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0) # <<<<<<<<<<<<<<
*
* ndim = PyArray_NDIM(self)
*/
__pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);
/* "numpy.pxd":206
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
*
* ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<<
*
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
*/
__pyx_v_ndim = PyArray_NDIM(__pyx_v_self);
/* "numpy.pxd":208
* ndim = PyArray_NDIM(self)
*
* if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<<
* copy_shape = 1
* else:
*/
__pyx_t_1 = ((sizeof(npy_intp)) != (sizeof(Py_ssize_t)));
if (__pyx_t_1) {
/* "numpy.pxd":209
*
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
* copy_shape = 1 # <<<<<<<<<<<<<<
* else:
* copy_shape = 0
*/
__pyx_v_copy_shape = 1;
goto __pyx_L4;
}
/*else*/ {
/* "numpy.pxd":211
* copy_shape = 1
* else:
* copy_shape = 0 # <<<<<<<<<<<<<<
*
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
*/
__pyx_v_copy_shape = 0;
}
__pyx_L4:;
/* "numpy.pxd":213
* copy_shape = 0
*
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<<
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
* raise ValueError(u"ndarray is not C contiguous")
*/
__pyx_t_1 = ((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS);
if (__pyx_t_1) {
/* "numpy.pxd":214
*
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): # <<<<<<<<<<<<<<
* raise ValueError(u"ndarray is not C contiguous")
*
*/
__pyx_t_2 = (!PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS));
__pyx_t_3 = __pyx_t_2;
} else {
__pyx_t_3 = __pyx_t_1;
}
if (__pyx_t_3) {
/* "numpy.pxd":215
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
* raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<<
*
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
*/
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_9), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L5;
}
__pyx_L5:;
/* "numpy.pxd":217
* raise ValueError(u"ndarray is not C contiguous")
*
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<<
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
* raise ValueError(u"ndarray is not Fortran contiguous")
*/
__pyx_t_3 = ((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS);
if (__pyx_t_3) {
/* "numpy.pxd":218
*
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<<
* raise ValueError(u"ndarray is not Fortran contiguous")
*
*/
__pyx_t_1 = (!PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS));
__pyx_t_2 = __pyx_t_1;
} else {
__pyx_t_2 = __pyx_t_3;
}
if (__pyx_t_2) {
/* "numpy.pxd":219
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
* raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<<
*
* info.buf = PyArray_DATA(self)
*/
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_11), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L6;
}
__pyx_L6:;
/* "numpy.pxd":221
* raise ValueError(u"ndarray is not Fortran contiguous")
*
* info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<<
* info.ndim = ndim
* if copy_shape:
*/
__pyx_v_info->buf = PyArray_DATA(__pyx_v_self);
/* "numpy.pxd":222
*
* info.buf = PyArray_DATA(self)
* info.ndim = ndim # <<<<<<<<<<<<<<
* if copy_shape:
* # Allocate new buffer for strides and shape info.
*/
__pyx_v_info->ndim = __pyx_v_ndim;
/* "numpy.pxd":223
* info.buf = PyArray_DATA(self)
* info.ndim = ndim
* if copy_shape: # <<<<<<<<<<<<<<
* # Allocate new buffer for strides and shape info.
* # This is allocated as one block, strides first.
*/
if (__pyx_v_copy_shape) {
/* "numpy.pxd":226
* # Allocate new buffer for strides and shape info.
* # This is allocated as one block, strides first.
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2) # <<<<<<<<<<<<<<
* info.shape = info.strides + ndim
* for i in range(ndim):
*/
__pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2)));
/* "numpy.pxd":227
* # This is allocated as one block, strides first.
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
* info.shape = info.strides + ndim # <<<<<<<<<<<<<<
* for i in range(ndim):
* info.strides[i] = PyArray_STRIDES(self)[i]
*/
__pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim);
/* "numpy.pxd":228
* info.strides = <Py_ssize_t*>stdlib.malloc(sizeof(Py_ssize_t) * <size_t>ndim * 2)
* info.shape = info.strides + ndim
* for i in range(ndim): # <<<<<<<<<<<<<<
* info.strides[i] = PyArray_STRIDES(self)[i]
* info.shape[i] = PyArray_DIMS(self)[i]
*/
__pyx_t_5 = __pyx_v_ndim;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "numpy.pxd":229
* info.shape = info.strides + ndim
* for i in range(ndim):
* info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<<
* info.shape[i] = PyArray_DIMS(self)[i]
* else:
*/
(__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]);
/* "numpy.pxd":230
* for i in range(ndim):
* info.strides[i] = PyArray_STRIDES(self)[i]
* info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<<
* else:
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
*/
(__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]);
}
goto __pyx_L7;
}
/*else*/ {
/* "numpy.pxd":232
* info.shape[i] = PyArray_DIMS(self)[i]
* else:
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self) # <<<<<<<<<<<<<<
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
* info.suboffsets = NULL
*/
__pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self));
/* "numpy.pxd":233
* else:
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
* info.shape = <Py_ssize_t*>PyArray_DIMS(self) # <<<<<<<<<<<<<<
* info.suboffsets = NULL
* info.itemsize = PyArray_ITEMSIZE(self)
*/
__pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self));
}
__pyx_L7:;
/* "numpy.pxd":234
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
* info.suboffsets = NULL # <<<<<<<<<<<<<<
* info.itemsize = PyArray_ITEMSIZE(self)
* info.readonly = not PyArray_ISWRITEABLE(self)
*/
__pyx_v_info->suboffsets = NULL;
/* "numpy.pxd":235
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
* info.suboffsets = NULL
* info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<<
* info.readonly = not PyArray_ISWRITEABLE(self)
*
*/
__pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self);
/* "numpy.pxd":236
* info.suboffsets = NULL
* info.itemsize = PyArray_ITEMSIZE(self)
* info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<<
*
* cdef int t
*/
__pyx_v_info->readonly = (!PyArray_ISWRITEABLE(__pyx_v_self));
/* "numpy.pxd":239
*
* cdef int t
* cdef char* f = NULL # <<<<<<<<<<<<<<
* cdef dtype descr = self.descr
* cdef list stack
*/
__pyx_v_f = NULL;
/* "numpy.pxd":240
* cdef int t
* cdef char* f = NULL
* cdef dtype descr = self.descr # <<<<<<<<<<<<<<
* cdef list stack
* cdef int offset
*/
__pyx_t_4 = ((PyObject *)__pyx_v_self->descr);
__Pyx_INCREF(__pyx_t_4);
__pyx_v_descr = ((PyArray_Descr *)__pyx_t_4);
__pyx_t_4 = 0;
/* "numpy.pxd":244
* cdef int offset
*
* cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<<
*
* if not hasfields and not copy_shape:
*/
__pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr);
/* "numpy.pxd":246
* cdef bint hasfields = PyDataType_HASFIELDS(descr)
*
* if not hasfields and not copy_shape: # <<<<<<<<<<<<<<
* # do not call releasebuffer
* info.obj = None
*/
__pyx_t_2 = (!__pyx_v_hasfields);
if (__pyx_t_2) {
__pyx_t_3 = (!__pyx_v_copy_shape);
__pyx_t_1 = __pyx_t_3;
} else {
__pyx_t_1 = __pyx_t_2;
}
if (__pyx_t_1) {
/* "numpy.pxd":248
* if not hasfields and not copy_shape:
* # do not call releasebuffer
* info.obj = None # <<<<<<<<<<<<<<
* else:
* # need to call releasebuffer
*/
__Pyx_INCREF(Py_None);
__Pyx_GIVEREF(Py_None);
__Pyx_GOTREF(__pyx_v_info->obj);
__Pyx_DECREF(__pyx_v_info->obj);
__pyx_v_info->obj = Py_None;
goto __pyx_L10;
}
/*else*/ {
/* "numpy.pxd":251
* else:
* # need to call releasebuffer
* info.obj = self # <<<<<<<<<<<<<<
*
* if not hasfields:
*/
__Pyx_INCREF(((PyObject *)__pyx_v_self));
__Pyx_GIVEREF(((PyObject *)__pyx_v_self));
__Pyx_GOTREF(__pyx_v_info->obj);
__Pyx_DECREF(__pyx_v_info->obj);
__pyx_v_info->obj = ((PyObject *)__pyx_v_self);
}
__pyx_L10:;
/* "numpy.pxd":253
* info.obj = self
*
* if not hasfields: # <<<<<<<<<<<<<<
* t = descr.type_num
* if ((descr.byteorder == c'>' and little_endian) or
*/
__pyx_t_1 = (!__pyx_v_hasfields);
if (__pyx_t_1) {
/* "numpy.pxd":254
*
* if not hasfields:
* t = descr.type_num # <<<<<<<<<<<<<<
* if ((descr.byteorder == c'>' and little_endian) or
* (descr.byteorder == c'<' and not little_endian)):
*/
__pyx_t_5 = __pyx_v_descr->type_num;
__pyx_v_t = __pyx_t_5;
/* "numpy.pxd":255
* if not hasfields:
* t = descr.type_num
* if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
* (descr.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported")
*/
__pyx_t_1 = (__pyx_v_descr->byteorder == '>');
if (__pyx_t_1) {
__pyx_t_2 = __pyx_v_little_endian;
} else {
__pyx_t_2 = __pyx_t_1;
}
if (!__pyx_t_2) {
/* "numpy.pxd":256
* t = descr.type_num
* if ((descr.byteorder == c'>' and little_endian) or
* (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<<
* raise ValueError(u"Non-native byte order not supported")
* if t == NPY_BYTE: f = "b"
*/
__pyx_t_1 = (__pyx_v_descr->byteorder == '<');
if (__pyx_t_1) {
__pyx_t_3 = (!__pyx_v_little_endian);
__pyx_t_7 = __pyx_t_3;
} else {
__pyx_t_7 = __pyx_t_1;
}
__pyx_t_1 = __pyx_t_7;
} else {
__pyx_t_1 = __pyx_t_2;
}
if (__pyx_t_1) {
/* "numpy.pxd":257
* if ((descr.byteorder == c'>' and little_endian) or
* (descr.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
* if t == NPY_BYTE: f = "b"
* elif t == NPY_UBYTE: f = "B"
*/
__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_13), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L12;
}
__pyx_L12:;
/* "numpy.pxd":258
* (descr.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported")
* if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<<
* elif t == NPY_UBYTE: f = "B"
* elif t == NPY_SHORT: f = "h"
*/
__pyx_t_1 = (__pyx_v_t == NPY_BYTE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__b;
goto __pyx_L13;
}
/* "numpy.pxd":259
* raise ValueError(u"Non-native byte order not supported")
* if t == NPY_BYTE: f = "b"
* elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<<
* elif t == NPY_SHORT: f = "h"
* elif t == NPY_USHORT: f = "H"
*/
__pyx_t_1 = (__pyx_v_t == NPY_UBYTE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__B;
goto __pyx_L13;
}
/* "numpy.pxd":260
* if t == NPY_BYTE: f = "b"
* elif t == NPY_UBYTE: f = "B"
* elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<<
* elif t == NPY_USHORT: f = "H"
* elif t == NPY_INT: f = "i"
*/
__pyx_t_1 = (__pyx_v_t == NPY_SHORT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__h;
goto __pyx_L13;
}
/* "numpy.pxd":261
* elif t == NPY_UBYTE: f = "B"
* elif t == NPY_SHORT: f = "h"
* elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<<
* elif t == NPY_INT: f = "i"
* elif t == NPY_UINT: f = "I"
*/
__pyx_t_1 = (__pyx_v_t == NPY_USHORT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__H;
goto __pyx_L13;
}
/* "numpy.pxd":262
* elif t == NPY_SHORT: f = "h"
* elif t == NPY_USHORT: f = "H"
* elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<<
* elif t == NPY_UINT: f = "I"
* elif t == NPY_LONG: f = "l"
*/
__pyx_t_1 = (__pyx_v_t == NPY_INT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__i;
goto __pyx_L13;
}
/* "numpy.pxd":263
* elif t == NPY_USHORT: f = "H"
* elif t == NPY_INT: f = "i"
* elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<<
* elif t == NPY_LONG: f = "l"
* elif t == NPY_ULONG: f = "L"
*/
__pyx_t_1 = (__pyx_v_t == NPY_UINT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__I;
goto __pyx_L13;
}
/* "numpy.pxd":264
* elif t == NPY_INT: f = "i"
* elif t == NPY_UINT: f = "I"
* elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<<
* elif t == NPY_ULONG: f = "L"
* elif t == NPY_LONGLONG: f = "q"
*/
__pyx_t_1 = (__pyx_v_t == NPY_LONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__l;
goto __pyx_L13;
}
/* "numpy.pxd":265
* elif t == NPY_UINT: f = "I"
* elif t == NPY_LONG: f = "l"
* elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<<
* elif t == NPY_LONGLONG: f = "q"
* elif t == NPY_ULONGLONG: f = "Q"
*/
__pyx_t_1 = (__pyx_v_t == NPY_ULONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__L;
goto __pyx_L13;
}
/* "numpy.pxd":266
* elif t == NPY_LONG: f = "l"
* elif t == NPY_ULONG: f = "L"
* elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<<
* elif t == NPY_ULONGLONG: f = "Q"
* elif t == NPY_FLOAT: f = "f"
*/
__pyx_t_1 = (__pyx_v_t == NPY_LONGLONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__q;
goto __pyx_L13;
}
/* "numpy.pxd":267
* elif t == NPY_ULONG: f = "L"
* elif t == NPY_LONGLONG: f = "q"
* elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<<
* elif t == NPY_FLOAT: f = "f"
* elif t == NPY_DOUBLE: f = "d"
*/
__pyx_t_1 = (__pyx_v_t == NPY_ULONGLONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__Q;
goto __pyx_L13;
}
/* "numpy.pxd":268
* elif t == NPY_LONGLONG: f = "q"
* elif t == NPY_ULONGLONG: f = "Q"
* elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<<
* elif t == NPY_DOUBLE: f = "d"
* elif t == NPY_LONGDOUBLE: f = "g"
*/
__pyx_t_1 = (__pyx_v_t == NPY_FLOAT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__f;
goto __pyx_L13;
}
/* "numpy.pxd":269
* elif t == NPY_ULONGLONG: f = "Q"
* elif t == NPY_FLOAT: f = "f"
* elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<<
* elif t == NPY_LONGDOUBLE: f = "g"
* elif t == NPY_CFLOAT: f = "Zf"
*/
__pyx_t_1 = (__pyx_v_t == NPY_DOUBLE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__d;
goto __pyx_L13;
}
/* "numpy.pxd":270
* elif t == NPY_FLOAT: f = "f"
* elif t == NPY_DOUBLE: f = "d"
* elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<<
* elif t == NPY_CFLOAT: f = "Zf"
* elif t == NPY_CDOUBLE: f = "Zd"
*/
__pyx_t_1 = (__pyx_v_t == NPY_LONGDOUBLE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__g;
goto __pyx_L13;
}
/* "numpy.pxd":271
* elif t == NPY_DOUBLE: f = "d"
* elif t == NPY_LONGDOUBLE: f = "g"
* elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<<
* elif t == NPY_CDOUBLE: f = "Zd"
* elif t == NPY_CLONGDOUBLE: f = "Zg"
*/
__pyx_t_1 = (__pyx_v_t == NPY_CFLOAT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__Zf;
goto __pyx_L13;
}
/* "numpy.pxd":272
* elif t == NPY_LONGDOUBLE: f = "g"
* elif t == NPY_CFLOAT: f = "Zf"
* elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<<
* elif t == NPY_CLONGDOUBLE: f = "Zg"
* elif t == NPY_OBJECT: f = "O"
*/
__pyx_t_1 = (__pyx_v_t == NPY_CDOUBLE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__Zd;
goto __pyx_L13;
}
/* "numpy.pxd":273
* elif t == NPY_CFLOAT: f = "Zf"
* elif t == NPY_CDOUBLE: f = "Zd"
* elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<<
* elif t == NPY_OBJECT: f = "O"
* else:
*/
__pyx_t_1 = (__pyx_v_t == NPY_CLONGDOUBLE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__Zg;
goto __pyx_L13;
}
/* "numpy.pxd":274
* elif t == NPY_CDOUBLE: f = "Zd"
* elif t == NPY_CLONGDOUBLE: f = "Zg"
* elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<<
* else:
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
*/
__pyx_t_1 = (__pyx_v_t == NPY_OBJECT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__O;
goto __pyx_L13;
}
/*else*/ {
/* "numpy.pxd":276
* elif t == NPY_OBJECT: f = "O"
* else:
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<<
* info.format = f
* return
*/
__pyx_t_4 = PyInt_FromLong(__pyx_v_t); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_14), __pyx_t_4); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_8));
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8));
__Pyx_GIVEREF(((PyObject *)__pyx_t_8));
__pyx_t_8 = 0;
__pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_8);
__Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0;
__Pyx_Raise(__pyx_t_8, 0, 0, 0);
__Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_L13:;
/* "numpy.pxd":277
* else:
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
* info.format = f # <<<<<<<<<<<<<<
* return
* else:
*/
__pyx_v_info->format = __pyx_v_f;
/* "numpy.pxd":278
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
* info.format = f
* return # <<<<<<<<<<<<<<
* else:
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
*/
__pyx_r = 0;
goto __pyx_L0;
goto __pyx_L11;
}
/*else*/ {
/* "numpy.pxd":280
* return
* else:
* info.format = <char*>stdlib.malloc(_buffer_format_string_len) # <<<<<<<<<<<<<<
* info.format[0] = c'^' # Native data types, manual alignment
* offset = 0
*/
__pyx_v_info->format = ((char *)malloc(255));
/* "numpy.pxd":281
* else:
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
* info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<<
* offset = 0
* f = _util_dtypestring(descr, info.format + 1,
*/
(__pyx_v_info->format[0]) = '^';
/* "numpy.pxd":282
* info.format = <char*>stdlib.malloc(_buffer_format_string_len)
* info.format[0] = c'^' # Native data types, manual alignment
* offset = 0 # <<<<<<<<<<<<<<
* f = _util_dtypestring(descr, info.format + 1,
* info.format + _buffer_format_string_len,
*/
__pyx_v_offset = 0;
/* "numpy.pxd":285
* f = _util_dtypestring(descr, info.format + 1,
* info.format + _buffer_format_string_len,
* &offset) # <<<<<<<<<<<<<<
* f[0] = c'\0' # Terminate format string
*
*/
__pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 255), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_f = __pyx_t_9;
/* "numpy.pxd":286
* info.format + _buffer_format_string_len,
* &offset)
* f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<<
*
* def __releasebuffer__(ndarray self, Py_buffer* info):
*/
(__pyx_v_f[0]) = '\x00';
}
__pyx_L11:;
__pyx_r = 0;
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_4);
__Pyx_XDECREF(__pyx_t_8);
__Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = -1;
if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) {
__Pyx_GOTREF(__pyx_v_info->obj);
__Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL;
}
goto __pyx_L2;
__pyx_L0:;
if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) {
__Pyx_GOTREF(Py_None);
__Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL;
}
__pyx_L2:;
__Pyx_XDECREF((PyObject *)__pyx_v_descr);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* Python wrapper */
static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/
static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0);
__pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info));
__Pyx_RefNannyFinishContext();
}
/* "numpy.pxd":288
* f[0] = c'\0' # Terminate format string
*
* def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<<
* if PyArray_HASFIELDS(self):
* stdlib.free(info.format)
*/
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
__Pyx_RefNannyDeclarations
int __pyx_t_1;
__Pyx_RefNannySetupContext("__releasebuffer__", 0);
/* "numpy.pxd":289
*
* def __releasebuffer__(ndarray self, Py_buffer* info):
* if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<<
* stdlib.free(info.format)
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
*/
__pyx_t_1 = PyArray_HASFIELDS(__pyx_v_self);
if (__pyx_t_1) {
/* "numpy.pxd":290
* def __releasebuffer__(ndarray self, Py_buffer* info):
* if PyArray_HASFIELDS(self):
* stdlib.free(info.format) # <<<<<<<<<<<<<<
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
* stdlib.free(info.strides)
*/
free(__pyx_v_info->format);
goto __pyx_L3;
}
__pyx_L3:;
/* "numpy.pxd":291
* if PyArray_HASFIELDS(self):
* stdlib.free(info.format)
* if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<<
* stdlib.free(info.strides)
* # info.shape was stored after info.strides in the same block
*/
__pyx_t_1 = ((sizeof(npy_intp)) != (sizeof(Py_ssize_t)));
if (__pyx_t_1) {
/* "numpy.pxd":292
* stdlib.free(info.format)
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
* stdlib.free(info.strides) # <<<<<<<<<<<<<<
* # info.shape was stored after info.strides in the same block
*
*/
free(__pyx_v_info->strides);
goto __pyx_L4;
}
__pyx_L4:;
__Pyx_RefNannyFinishContext();
}
/* "numpy.pxd":768
* ctypedef npy_cdouble complex_t
*
* cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<<
* return PyArray_MultiIterNew(1, <void*>a)
*
*/
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) {
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);
/* "numpy.pxd":769
*
* cdef inline object PyArray_MultiIterNew1(a):
* return PyArray_MultiIterNew(1, <void*>a) # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew2(a, b):
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 769; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":771
* return PyArray_MultiIterNew(1, <void*>a)
*
* cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<<
* return PyArray_MultiIterNew(2, <void*>a, <void*>b)
*
*/
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) {
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);
/* "numpy.pxd":772
*
* cdef inline object PyArray_MultiIterNew2(a, b):
* return PyArray_MultiIterNew(2, <void*>a, <void*>b) # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew3(a, b, c):
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 772; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":774
* return PyArray_MultiIterNew(2, <void*>a, <void*>b)
*
* cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<<
* return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
*
*/
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) {
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);
/* "numpy.pxd":775
*
* cdef inline object PyArray_MultiIterNew3(a, b, c):
* return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c) # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew4(a, b, c, d):
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 775; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":777
* return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
*
* cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<<
* return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
*
*/
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) {
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);
/* "numpy.pxd":778
*
* cdef inline object PyArray_MultiIterNew4(a, b, c, d):
* return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d) # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 778; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":780
* return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
*
* cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<<
* return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
*
*/
static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) {
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);
/* "numpy.pxd":781
*
* cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
* return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e) # <<<<<<<<<<<<<<
*
* cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:
*/
__Pyx_XDECREF(__pyx_r);
__pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 781; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__pyx_r = __pyx_t_1;
__pyx_t_1 = 0;
goto __pyx_L0;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":783
* return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
*
* cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<<
* # Recursive utility function used in __getbuffer__ to get format
* # string. The new location in the format string is returned.
*/
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) {
PyArray_Descr *__pyx_v_child = 0;
int __pyx_v_endian_detector;
int __pyx_v_little_endian;
PyObject *__pyx_v_fields = 0;
PyObject *__pyx_v_childname = NULL;
PyObject *__pyx_v_new_offset = NULL;
PyObject *__pyx_v_t = NULL;
char *__pyx_r;
__Pyx_RefNannyDeclarations
PyObject *__pyx_t_1 = NULL;
Py_ssize_t __pyx_t_2;
PyObject *__pyx_t_3 = NULL;
PyObject *__pyx_t_4 = NULL;
PyObject *__pyx_t_5 = NULL;
PyObject *(*__pyx_t_6)(PyObject *);
int __pyx_t_7;
int __pyx_t_8;
int __pyx_t_9;
int __pyx_t_10;
long __pyx_t_11;
char *__pyx_t_12;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("_util_dtypestring", 0);
/* "numpy.pxd":790
* cdef int delta_offset
* cdef tuple i
* cdef int endian_detector = 1 # <<<<<<<<<<<<<<
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
* cdef tuple fields
*/
__pyx_v_endian_detector = 1;
/* "numpy.pxd":791
* cdef tuple i
* cdef int endian_detector = 1
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0) # <<<<<<<<<<<<<<
* cdef tuple fields
*
*/
__pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);
/* "numpy.pxd":794
* cdef tuple fields
*
* for childname in descr.names: # <<<<<<<<<<<<<<
* fields = descr.fields[childname]
* child, new_offset = fields
*/
if (unlikely(((PyObject *)__pyx_v_descr->names) == Py_None)) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_t_1 = ((PyObject *)__pyx_v_descr->names); __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
for (;;) {
if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
#if CYTHON_COMPILING_IN_CPYTHON
__pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
__pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#endif
__Pyx_XDECREF(__pyx_v_childname);
__pyx_v_childname = __pyx_t_3;
__pyx_t_3 = 0;
/* "numpy.pxd":795
*
* for childname in descr.names:
* fields = descr.fields[childname] # <<<<<<<<<<<<<<
* child, new_offset = fields
*
*/
__pyx_t_3 = PyObject_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (!__pyx_t_3) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected tuple, got %.200s", Py_TYPE(__pyx_t_3)->tp_name), 0))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_XDECREF(((PyObject *)__pyx_v_fields));
__pyx_v_fields = ((PyObject*)__pyx_t_3);
__pyx_t_3 = 0;
/* "numpy.pxd":796
* for childname in descr.names:
* fields = descr.fields[childname]
* child, new_offset = fields # <<<<<<<<<<<<<<
*
* if (end - f) - (new_offset - offset[0]) < 15:
*/
if (likely(PyTuple_CheckExact(((PyObject *)__pyx_v_fields)))) {
PyObject* sequence = ((PyObject *)__pyx_v_fields);
#if CYTHON_COMPILING_IN_CPYTHON
Py_ssize_t size = Py_SIZE(sequence);
#else
Py_ssize_t size = PySequence_Size(sequence);
#endif
if (unlikely(size != 2)) {
if (size > 2) __Pyx_RaiseTooManyValuesError(2);
else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
#if CYTHON_COMPILING_IN_CPYTHON
__pyx_t_3 = PyTuple_GET_ITEM(sequence, 0);
__pyx_t_4 = PyTuple_GET_ITEM(sequence, 1);
__Pyx_INCREF(__pyx_t_3);
__Pyx_INCREF(__pyx_t_4);
#else
__pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#endif
} else if (1) {
__Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
} else
{
Py_ssize_t index = -1;
__pyx_t_5 = PyObject_GetIter(((PyObject *)__pyx_v_fields)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_6 = Py_TYPE(__pyx_t_5)->tp_iternext;
index = 0; __pyx_t_3 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_3)) goto __pyx_L5_unpacking_failed;
__Pyx_GOTREF(__pyx_t_3);
index = 1; __pyx_t_4 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_4)) goto __pyx_L5_unpacking_failed;
__Pyx_GOTREF(__pyx_t_4);
if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_5), 2) < 0) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_t_6 = NULL;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
goto __pyx_L6_unpacking_done;
__pyx_L5_unpacking_failed:;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_6 = NULL;
if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_L6_unpacking_done:;
}
if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_XDECREF(((PyObject *)__pyx_v_child));
__pyx_v_child = ((PyArray_Descr *)__pyx_t_3);
__pyx_t_3 = 0;
__Pyx_XDECREF(__pyx_v_new_offset);
__pyx_v_new_offset = __pyx_t_4;
__pyx_t_4 = 0;
/* "numpy.pxd":798
* child, new_offset = fields
*
* if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<<
* raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
*
*/
__pyx_t_4 = PyInt_FromLong((__pyx_v_end - __pyx_v_f)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__pyx_t_3 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = PyNumber_Subtract(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_5 = PyObject_RichCompare(__pyx_t_3, __pyx_int_15, Py_LT); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
/* "numpy.pxd":799
*
* if (end - f) - (new_offset - offset[0]) < 15:
* raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<<
*
* if ((child.byteorder == c'>' and little_endian) or
*/
__pyx_t_5 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_16), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_Raise(__pyx_t_5, 0, 0, 0);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L7;
}
__pyx_L7:;
/* "numpy.pxd":801
* raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
*
* if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
* (child.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported")
*/
__pyx_t_7 = (__pyx_v_child->byteorder == '>');
if (__pyx_t_7) {
__pyx_t_8 = __pyx_v_little_endian;
} else {
__pyx_t_8 = __pyx_t_7;
}
if (!__pyx_t_8) {
/* "numpy.pxd":802
*
* if ((child.byteorder == c'>' and little_endian) or
* (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<<
* raise ValueError(u"Non-native byte order not supported")
* # One could encode it in the format string and have Cython
*/
__pyx_t_7 = (__pyx_v_child->byteorder == '<');
if (__pyx_t_7) {
__pyx_t_9 = (!__pyx_v_little_endian);
__pyx_t_10 = __pyx_t_9;
} else {
__pyx_t_10 = __pyx_t_7;
}
__pyx_t_7 = __pyx_t_10;
} else {
__pyx_t_7 = __pyx_t_8;
}
if (__pyx_t_7) {
/* "numpy.pxd":803
* if ((child.byteorder == c'>' and little_endian) or
* (child.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
* # One could encode it in the format string and have Cython
* # complain instead, BUT: < and > in format strings also imply
*/
__pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_17), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_Raise(__pyx_t_5, 0, 0, 0);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L8;
}
__pyx_L8:;
/* "numpy.pxd":813
*
* # Output padding bytes
* while offset[0] < new_offset: # <<<<<<<<<<<<<<
* f[0] = 120 # "x"; pad byte
* f += 1
*/
while (1) {
__pyx_t_5 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_t_5, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (!__pyx_t_7) break;
/* "numpy.pxd":814
* # Output padding bytes
* while offset[0] < new_offset:
* f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<<
* f += 1
* offset[0] += 1
*/
(__pyx_v_f[0]) = 120;
/* "numpy.pxd":815
* while offset[0] < new_offset:
* f[0] = 120 # "x"; pad byte
* f += 1 # <<<<<<<<<<<<<<
* offset[0] += 1
*
*/
__pyx_v_f = (__pyx_v_f + 1);
/* "numpy.pxd":816
* f[0] = 120 # "x"; pad byte
* f += 1
* offset[0] += 1 # <<<<<<<<<<<<<<
*
* offset[0] += child.itemsize
*/
__pyx_t_11 = 0;
(__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + 1);
}
/* "numpy.pxd":818
* offset[0] += 1
*
* offset[0] += child.itemsize # <<<<<<<<<<<<<<
*
* if not PyDataType_HASFIELDS(child):
*/
__pyx_t_11 = 0;
(__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + __pyx_v_child->elsize);
/* "numpy.pxd":820
* offset[0] += child.itemsize
*
* if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<<
* t = child.type_num
* if end - f < 5:
*/
__pyx_t_7 = (!PyDataType_HASFIELDS(__pyx_v_child));
if (__pyx_t_7) {
/* "numpy.pxd":821
*
* if not PyDataType_HASFIELDS(child):
* t = child.type_num # <<<<<<<<<<<<<<
* if end - f < 5:
* raise RuntimeError(u"Format string allocated too short.")
*/
__pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 821; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_v_t);
__pyx_v_t = __pyx_t_3;
__pyx_t_3 = 0;
/* "numpy.pxd":822
* if not PyDataType_HASFIELDS(child):
* t = child.type_num
* if end - f < 5: # <<<<<<<<<<<<<<
* raise RuntimeError(u"Format string allocated too short.")
*
*/
__pyx_t_7 = ((__pyx_v_end - __pyx_v_f) < 5);
if (__pyx_t_7) {
/* "numpy.pxd":823
* t = child.type_num
* if end - f < 5:
* raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<<
*
* # Until ticket #99 is fixed, use integers to avoid warnings
*/
__pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_19), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L12;
}
__pyx_L12:;
/* "numpy.pxd":826
*
* # Until ticket #99 is fixed, use integers to avoid warnings
* if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<<
* elif t == NPY_UBYTE: f[0] = 66 #"B"
* elif t == NPY_SHORT: f[0] = 104 #"h"
*/
__pyx_t_3 = PyInt_FromLong(NPY_BYTE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 98;
goto __pyx_L13;
}
/* "numpy.pxd":827
* # Until ticket #99 is fixed, use integers to avoid warnings
* if t == NPY_BYTE: f[0] = 98 #"b"
* elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<<
* elif t == NPY_SHORT: f[0] = 104 #"h"
* elif t == NPY_USHORT: f[0] = 72 #"H"
*/
__pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 66;
goto __pyx_L13;
}
/* "numpy.pxd":828
* if t == NPY_BYTE: f[0] = 98 #"b"
* elif t == NPY_UBYTE: f[0] = 66 #"B"
* elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<<
* elif t == NPY_USHORT: f[0] = 72 #"H"
* elif t == NPY_INT: f[0] = 105 #"i"
*/
__pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 104;
goto __pyx_L13;
}
/* "numpy.pxd":829
* elif t == NPY_UBYTE: f[0] = 66 #"B"
* elif t == NPY_SHORT: f[0] = 104 #"h"
* elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<<
* elif t == NPY_INT: f[0] = 105 #"i"
* elif t == NPY_UINT: f[0] = 73 #"I"
*/
__pyx_t_5 = PyInt_FromLong(NPY_USHORT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 72;
goto __pyx_L13;
}
/* "numpy.pxd":830
* elif t == NPY_SHORT: f[0] = 104 #"h"
* elif t == NPY_USHORT: f[0] = 72 #"H"
* elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<<
* elif t == NPY_UINT: f[0] = 73 #"I"
* elif t == NPY_LONG: f[0] = 108 #"l"
*/
__pyx_t_3 = PyInt_FromLong(NPY_INT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 105;
goto __pyx_L13;
}
/* "numpy.pxd":831
* elif t == NPY_USHORT: f[0] = 72 #"H"
* elif t == NPY_INT: f[0] = 105 #"i"
* elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<<
* elif t == NPY_LONG: f[0] = 108 #"l"
* elif t == NPY_ULONG: f[0] = 76 #"L"
*/
__pyx_t_5 = PyInt_FromLong(NPY_UINT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 73;
goto __pyx_L13;
}
/* "numpy.pxd":832
* elif t == NPY_INT: f[0] = 105 #"i"
* elif t == NPY_UINT: f[0] = 73 #"I"
* elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<<
* elif t == NPY_ULONG: f[0] = 76 #"L"
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
*/
__pyx_t_3 = PyInt_FromLong(NPY_LONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 108;
goto __pyx_L13;
}
/* "numpy.pxd":833
* elif t == NPY_UINT: f[0] = 73 #"I"
* elif t == NPY_LONG: f[0] = 108 #"l"
* elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<<
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
*/
__pyx_t_5 = PyInt_FromLong(NPY_ULONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 76;
goto __pyx_L13;
}
/* "numpy.pxd":834
* elif t == NPY_LONG: f[0] = 108 #"l"
* elif t == NPY_ULONG: f[0] = 76 #"L"
* elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<<
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
* elif t == NPY_FLOAT: f[0] = 102 #"f"
*/
__pyx_t_3 = PyInt_FromLong(NPY_LONGLONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 113;
goto __pyx_L13;
}
/* "numpy.pxd":835
* elif t == NPY_ULONG: f[0] = 76 #"L"
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<<
* elif t == NPY_FLOAT: f[0] = 102 #"f"
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
*/
__pyx_t_5 = PyInt_FromLong(NPY_ULONGLONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 81;
goto __pyx_L13;
}
/* "numpy.pxd":836
* elif t == NPY_LONGLONG: f[0] = 113 #"q"
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
* elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<<
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
*/
__pyx_t_3 = PyInt_FromLong(NPY_FLOAT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 102;
goto __pyx_L13;
}
/* "numpy.pxd":837
* elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
* elif t == NPY_FLOAT: f[0] = 102 #"f"
* elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<<
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
*/
__pyx_t_5 = PyInt_FromLong(NPY_DOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 100;
goto __pyx_L13;
}
/* "numpy.pxd":838
* elif t == NPY_FLOAT: f[0] = 102 #"f"
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<<
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
*/
__pyx_t_3 = PyInt_FromLong(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 103;
goto __pyx_L13;
}
/* "numpy.pxd":839
* elif t == NPY_DOUBLE: f[0] = 100 #"d"
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<<
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
*/
__pyx_t_5 = PyInt_FromLong(NPY_CFLOAT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 90;
(__pyx_v_f[1]) = 102;
__pyx_v_f = (__pyx_v_f + 1);
goto __pyx_L13;
}
/* "numpy.pxd":840
* elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<<
* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
* elif t == NPY_OBJECT: f[0] = 79 #"O"
*/
__pyx_t_3 = PyInt_FromLong(NPY_CDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 90;
(__pyx_v_f[1]) = 100;
__pyx_v_f = (__pyx_v_f + 1);
goto __pyx_L13;
}
/* "numpy.pxd":841
* elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<<
* elif t == NPY_OBJECT: f[0] = 79 #"O"
* else:
*/
__pyx_t_5 = PyInt_FromLong(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 90;
(__pyx_v_f[1]) = 103;
__pyx_v_f = (__pyx_v_f + 1);
goto __pyx_L13;
}
/* "numpy.pxd":842
* elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
* elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
* elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<<
* else:
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
*/
__pyx_t_3 = PyInt_FromLong(NPY_OBJECT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
if (__pyx_t_7) {
(__pyx_v_f[0]) = 79;
goto __pyx_L13;
}
/*else*/ {
/* "numpy.pxd":844
* elif t == NPY_OBJECT: f[0] = 79 #"O"
* else:
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<<
* f += 1
* else:
*/
__pyx_t_5 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_14), __pyx_v_t); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_5));
__pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_3);
PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_5));
__Pyx_GIVEREF(((PyObject *)__pyx_t_5));
__pyx_t_5 = 0;
__pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_5);
__Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0;
__Pyx_Raise(__pyx_t_5, 0, 0, 0);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
__pyx_L13:;
/* "numpy.pxd":845
* else:
* raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
* f += 1 # <<<<<<<<<<<<<<
* else:
* # Cython ignores struct boundary information ("T{...}"),
*/
__pyx_v_f = (__pyx_v_f + 1);
goto __pyx_L11;
}
/*else*/ {
/* "numpy.pxd":849
* # Cython ignores struct boundary information ("T{...}"),
* # so don't output it
* f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<<
* return f
*
*/
__pyx_t_12 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_12 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 849; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_v_f = __pyx_t_12;
}
__pyx_L11:;
}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "numpy.pxd":850
* # so don't output it
* f = _util_dtypestring(child, f, end, offset)
* return f # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = __pyx_v_f;
goto __pyx_L0;
__pyx_r = 0;
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_3);
__Pyx_XDECREF(__pyx_t_4);
__Pyx_XDECREF(__pyx_t_5);
__Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = NULL;
__pyx_L0:;
__Pyx_XDECREF((PyObject *)__pyx_v_child);
__Pyx_XDECREF(__pyx_v_fields);
__Pyx_XDECREF(__pyx_v_childname);
__Pyx_XDECREF(__pyx_v_new_offset);
__Pyx_XDECREF(__pyx_v_t);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "numpy.pxd":965
*
*
* cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<<
* cdef PyObject* baseptr
* if base is None:
*/
static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) {
PyObject *__pyx_v_baseptr;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
__Pyx_RefNannySetupContext("set_array_base", 0);
/* "numpy.pxd":967
* cdef inline void set_array_base(ndarray arr, object base):
* cdef PyObject* baseptr
* if base is None: # <<<<<<<<<<<<<<
* baseptr = NULL
* else:
*/
__pyx_t_1 = (__pyx_v_base == Py_None);
if (__pyx_t_1) {
/* "numpy.pxd":968
* cdef PyObject* baseptr
* if base is None:
* baseptr = NULL # <<<<<<<<<<<<<<
* else:
* Py_INCREF(base) # important to do this before decref below!
*/
__pyx_v_baseptr = NULL;
goto __pyx_L3;
}
/*else*/ {
/* "numpy.pxd":970
* baseptr = NULL
* else:
* Py_INCREF(base) # important to do this before decref below! # <<<<<<<<<<<<<<
* baseptr = <PyObject*>base
* Py_XDECREF(arr.base)
*/
Py_INCREF(__pyx_v_base);
/* "numpy.pxd":971
* else:
* Py_INCREF(base) # important to do this before decref below!
* baseptr = <PyObject*>base # <<<<<<<<<<<<<<
* Py_XDECREF(arr.base)
* arr.base = baseptr
*/
__pyx_v_baseptr = ((PyObject *)__pyx_v_base);
}
__pyx_L3:;
/* "numpy.pxd":972
* Py_INCREF(base) # important to do this before decref below!
* baseptr = <PyObject*>base
* Py_XDECREF(arr.base) # <<<<<<<<<<<<<<
* arr.base = baseptr
*
*/
Py_XDECREF(__pyx_v_arr->base);
/* "numpy.pxd":973
* baseptr = <PyObject*>base
* Py_XDECREF(arr.base)
* arr.base = baseptr # <<<<<<<<<<<<<<
*
* cdef inline object get_array_base(ndarray arr):
*/
__pyx_v_arr->base = __pyx_v_baseptr;
__Pyx_RefNannyFinishContext();
}
/* "numpy.pxd":975
* arr.base = baseptr
*
* cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<<
* if arr.base is NULL:
* return None
*/
static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) {
PyObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
__Pyx_RefNannySetupContext("get_array_base", 0);
/* "numpy.pxd":976
*
* cdef inline object get_array_base(ndarray arr):
* if arr.base is NULL: # <<<<<<<<<<<<<<
* return None
* else:
*/
__pyx_t_1 = (__pyx_v_arr->base == NULL);
if (__pyx_t_1) {
/* "numpy.pxd":977
* cdef inline object get_array_base(ndarray arr):
* if arr.base is NULL:
* return None # <<<<<<<<<<<<<<
* else:
* return <object>arr.base
*/
__Pyx_XDECREF(__pyx_r);
__Pyx_INCREF(Py_None);
__pyx_r = Py_None;
goto __pyx_L0;
goto __pyx_L3;
}
/*else*/ {
/* "numpy.pxd":979
* return None
* else:
* return <object>arr.base # <<<<<<<<<<<<<<
*/
__Pyx_XDECREF(__pyx_r);
__Pyx_INCREF(((PyObject *)__pyx_v_arr->base));
__pyx_r = ((PyObject *)__pyx_v_arr->base);
goto __pyx_L0;
}
__pyx_L3:;
__pyx_r = Py_None; __Pyx_INCREF(Py_None);
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
};
#if PY_MAJOR_VERSION >= 3
static struct PyModuleDef __pyx_moduledef = {
PyModuleDef_HEAD_INIT,
__Pyx_NAMESTR("cd_fast"),
0, /* m_doc */
-1, /* m_size */
__pyx_methods /* m_methods */,
NULL, /* m_reload */
NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
#endif
static __Pyx_StringTabEntry __pyx_string_tab[] = {
{&__pyx_kp_u_10, __pyx_k_10, sizeof(__pyx_k_10), 0, 1, 0, 0},
{&__pyx_kp_u_12, __pyx_k_12, sizeof(__pyx_k_12), 0, 1, 0, 0},
{&__pyx_kp_u_14, __pyx_k_14, sizeof(__pyx_k_14), 0, 1, 0, 0},
{&__pyx_kp_u_15, __pyx_k_15, sizeof(__pyx_k_15), 0, 1, 0, 0},
{&__pyx_kp_u_18, __pyx_k_18, sizeof(__pyx_k_18), 0, 1, 0, 0},
{&__pyx_kp_s_2, __pyx_k_2, sizeof(__pyx_k_2), 0, 0, 1, 0},
{&__pyx_n_s_20, __pyx_k_20, sizeof(__pyx_k_20), 0, 0, 1, 1},
{&__pyx_n_s_21, __pyx_k_21, sizeof(__pyx_k_21), 0, 0, 1, 1},
{&__pyx_kp_s_24, __pyx_k_24, sizeof(__pyx_k_24), 0, 0, 1, 0},
{&__pyx_n_s_25, __pyx_k_25, sizeof(__pyx_k_25), 0, 0, 1, 1},
{&__pyx_n_s_28, __pyx_k_28, sizeof(__pyx_k_28), 0, 0, 1, 1},
{&__pyx_n_s_31, __pyx_k_31, sizeof(__pyx_k_31), 0, 0, 1, 1},
{&__pyx_n_s_34, __pyx_k_34, sizeof(__pyx_k_34), 0, 0, 1, 1},
{&__pyx_n_s_37, __pyx_k_37, sizeof(__pyx_k_37), 0, 0, 1, 1},
{&__pyx_kp_s_6, __pyx_k_6, sizeof(__pyx_k_6), 0, 0, 1, 0},
{&__pyx_kp_u_8, __pyx_k_8, sizeof(__pyx_k_8), 0, 1, 0, 0},
{&__pyx_n_s__A_norm, __pyx_k__A_norm, sizeof(__pyx_k__A_norm), 0, 0, 1, 1},
{&__pyx_n_s__A_norm2, __pyx_k__A_norm2, sizeof(__pyx_k__A_norm2), 0, 0, 1, 1},
{&__pyx_n_s__C, __pyx_k__C, sizeof(__pyx_k__C), 0, 0, 1, 1},
{&__pyx_n_s__H, __pyx_k__H, sizeof(__pyx_k__H), 0, 0, 1, 1},
{&__pyx_n_s__Q, __pyx_k__Q, sizeof(__pyx_k__Q), 0, 0, 1, 1},
{&__pyx_n_s__R, __pyx_k__R, sizeof(__pyx_k__R), 0, 0, 1, 1},
{&__pyx_n_s__R_norm, __pyx_k__R_norm, sizeof(__pyx_k__R_norm), 0, 0, 1, 1},
{&__pyx_n_s__R_norm2, __pyx_k__R_norm2, sizeof(__pyx_k__R_norm2), 0, 0, 1, 1},
{&__pyx_n_s__R_sum, __pyx_k__R_sum, sizeof(__pyx_k__R_sum), 0, 0, 1, 1},
{&__pyx_n_s__RuntimeError, __pyx_k__RuntimeError, sizeof(__pyx_k__RuntimeError), 0, 0, 1, 1},
{&__pyx_n_s__T, __pyx_k__T, sizeof(__pyx_k__T), 0, 0, 1, 1},
{&__pyx_n_s__ValueError, __pyx_k__ValueError, sizeof(__pyx_k__ValueError), 0, 0, 1, 1},
{&__pyx_n_s__W, __pyx_k__W, sizeof(__pyx_k__W), 0, 0, 1, 1},
{&__pyx_n_s__W_ii_abs_max, __pyx_k__W_ii_abs_max, sizeof(__pyx_k__W_ii_abs_max), 0, 0, 1, 1},
{&__pyx_n_s__X, __pyx_k__X, sizeof(__pyx_k__X), 0, 0, 1, 1},
{&__pyx_n_s__X_T_R, __pyx_k__X_T_R, sizeof(__pyx_k__X_T_R), 0, 0, 1, 1},
{&__pyx_n_s__X_data, __pyx_k__X_data, sizeof(__pyx_k__X_data), 0, 0, 1, 1},
{&__pyx_n_s__X_indices, __pyx_k__X_indices, sizeof(__pyx_k__X_indices), 0, 0, 1, 1},
{&__pyx_n_s__X_indptr, __pyx_k__X_indptr, sizeof(__pyx_k__X_indptr), 0, 0, 1, 1},
{&__pyx_n_s__X_mean, __pyx_k__X_mean, sizeof(__pyx_k__X_mean), 0, 0, 1, 1},
{&__pyx_n_s__X_mean_ii, __pyx_k__X_mean_ii, sizeof(__pyx_k__X_mean_ii), 0, 0, 1, 1},
{&__pyx_n_s__X_std, __pyx_k__X_std, sizeof(__pyx_k__X_std), 0, 0, 1, 1},
{&__pyx_n_s__X_std_ii, __pyx_k__X_std_ii, sizeof(__pyx_k__X_std_ii), 0, 0, 1, 1},
{&__pyx_n_s__X_sum_ii, __pyx_k__X_sum_ii, sizeof(__pyx_k__X_sum_ii), 0, 0, 1, 1},
{&__pyx_n_s__XtA, __pyx_k__XtA, sizeof(__pyx_k__XtA), 0, 0, 1, 1},
{&__pyx_n_s__Y, __pyx_k__Y, sizeof(__pyx_k__Y), 0, 0, 1, 1},
{&__pyx_n_s____main__, __pyx_k____main__, sizeof(__pyx_k____main__), 0, 0, 1, 1},
{&__pyx_n_s____test__, __pyx_k____test__, sizeof(__pyx_k____test__), 0, 0, 1, 1},
{&__pyx_n_s__alpha, __pyx_k__alpha, sizeof(__pyx_k__alpha), 0, 0, 1, 1},
{&__pyx_n_s__any, __pyx_k__any, sizeof(__pyx_k__any), 0, 0, 1, 1},
{&__pyx_n_s__asarray, __pyx_k__asarray, sizeof(__pyx_k__asarray), 0, 0, 1, 1},
{&__pyx_n_s__axis, __pyx_k__axis, sizeof(__pyx_k__axis), 0, 0, 1, 1},
{&__pyx_n_s__beta, __pyx_k__beta, sizeof(__pyx_k__beta), 0, 0, 1, 1},
{&__pyx_n_s__center, __pyx_k__center, sizeof(__pyx_k__center), 0, 0, 1, 1},
{&__pyx_n_s__const, __pyx_k__const, sizeof(__pyx_k__const), 0, 0, 1, 1},
{&__pyx_n_s__copy, __pyx_k__copy, sizeof(__pyx_k__copy), 0, 0, 1, 1},
{&__pyx_n_s__d_w_ii, __pyx_k__d_w_ii, sizeof(__pyx_k__d_w_ii), 0, 0, 1, 1},
{&__pyx_n_s__d_w_max, __pyx_k__d_w_max, sizeof(__pyx_k__d_w_max), 0, 0, 1, 1},
{&__pyx_n_s__d_w_tol, __pyx_k__d_w_tol, sizeof(__pyx_k__d_w_tol), 0, 0, 1, 1},
{&__pyx_n_s__diff, __pyx_k__diff, sizeof(__pyx_k__diff), 0, 0, 1, 1},
{&__pyx_n_s__dot, __pyx_k__dot, sizeof(__pyx_k__dot), 0, 0, 1, 1},
{&__pyx_n_s__dtype, __pyx_k__dtype, sizeof(__pyx_k__dtype), 0, 0, 1, 1},
{&__pyx_n_s__dual_norm_XtA, __pyx_k__dual_norm_XtA, sizeof(__pyx_k__dual_norm_XtA), 0, 0, 1, 1},
{&__pyx_n_s__float, __pyx_k__float, sizeof(__pyx_k__float), 0, 0, 1, 1},
{&__pyx_n_s__float64, __pyx_k__float64, sizeof(__pyx_k__float64), 0, 0, 1, 1},
{&__pyx_n_s__gap, __pyx_k__gap, sizeof(__pyx_k__gap), 0, 0, 1, 1},
{&__pyx_n_s__ii, __pyx_k__ii, sizeof(__pyx_k__ii), 0, 0, 1, 1},
{&__pyx_n_s__inf, __pyx_k__inf, sizeof(__pyx_k__inf), 0, 0, 1, 1},
{&__pyx_n_s__jj, __pyx_k__jj, sizeof(__pyx_k__jj), 0, 0, 1, 1},
{&__pyx_n_s__l1_reg, __pyx_k__l1_reg, sizeof(__pyx_k__l1_reg), 0, 0, 1, 1},
{&__pyx_n_s__l2_reg, __pyx_k__l2_reg, sizeof(__pyx_k__l2_reg), 0, 0, 1, 1},
{&__pyx_n_s__linalg, __pyx_k__linalg, sizeof(__pyx_k__linalg), 0, 0, 1, 1},
{&__pyx_n_s__max, __pyx_k__max, sizeof(__pyx_k__max), 0, 0, 1, 1},
{&__pyx_n_s__max_iter, __pyx_k__max_iter, sizeof(__pyx_k__max_iter), 0, 0, 1, 1},
{&__pyx_n_s__n_features, __pyx_k__n_features, sizeof(__pyx_k__n_features), 0, 0, 1, 1},
{&__pyx_n_s__n_iter, __pyx_k__n_iter, sizeof(__pyx_k__n_iter), 0, 0, 1, 1},
{&__pyx_n_s__n_samples, __pyx_k__n_samples, sizeof(__pyx_k__n_samples), 0, 0, 1, 1},
{&__pyx_n_s__n_tasks, __pyx_k__n_tasks, sizeof(__pyx_k__n_tasks), 0, 0, 1, 1},
{&__pyx_n_s__nn, __pyx_k__nn, sizeof(__pyx_k__nn), 0, 0, 1, 1},
{&__pyx_n_s__nnz_ii, __pyx_k__nnz_ii, sizeof(__pyx_k__nnz_ii), 0, 0, 1, 1},
{&__pyx_n_s__norm, __pyx_k__norm, sizeof(__pyx_k__norm), 0, 0, 1, 1},
{&__pyx_n_s__norm_cols_X, __pyx_k__norm_cols_X, sizeof(__pyx_k__norm_cols_X), 0, 0, 1, 1},
{&__pyx_n_s__np, __pyx_k__np, sizeof(__pyx_k__np), 0, 0, 1, 1},
{&__pyx_n_s__numpy, __pyx_k__numpy, sizeof(__pyx_k__numpy), 0, 0, 1, 1},
{&__pyx_n_s__order, __pyx_k__order, sizeof(__pyx_k__order), 0, 0, 1, 1},
{&__pyx_n_s__positive, __pyx_k__positive, sizeof(__pyx_k__positive), 0, 0, 1, 1},
{&__pyx_n_s__q, __pyx_k__q, sizeof(__pyx_k__q), 0, 0, 1, 1},
{&__pyx_n_s__q_dot_w, __pyx_k__q_dot_w, sizeof(__pyx_k__q_dot_w), 0, 0, 1, 1},
{&__pyx_n_s__range, __pyx_k__range, sizeof(__pyx_k__range), 0, 0, 1, 1},
{&__pyx_n_s__sparse_std, __pyx_k__sparse_std, sizeof(__pyx_k__sparse_std), 0, 0, 1, 1},
{&__pyx_n_s__sqrt, __pyx_k__sqrt, sizeof(__pyx_k__sqrt), 0, 0, 1, 1},
{&__pyx_n_s__sum, __pyx_k__sum, sizeof(__pyx_k__sum), 0, 0, 1, 1},
{&__pyx_n_s__tmp, __pyx_k__tmp, sizeof(__pyx_k__tmp), 0, 0, 1, 1},
{&__pyx_n_s__tol, __pyx_k__tol, sizeof(__pyx_k__tol), 0, 0, 1, 1},
{&__pyx_n_s__w, __pyx_k__w, sizeof(__pyx_k__w), 0, 0, 1, 1},
{&__pyx_n_s__w_ii, __pyx_k__w_ii, sizeof(__pyx_k__w_ii), 0, 0, 1, 1},
{&__pyx_n_s__w_max, __pyx_k__w_max, sizeof(__pyx_k__w_max), 0, 0, 1, 1},
{&__pyx_n_s__w_norm, __pyx_k__w_norm, sizeof(__pyx_k__w_norm), 0, 0, 1, 1},
{&__pyx_n_s__w_norm2, __pyx_k__w_norm2, sizeof(__pyx_k__w_norm2), 0, 0, 1, 1},
{&__pyx_n_s__warn, __pyx_k__warn, sizeof(__pyx_k__warn), 0, 0, 1, 1},
{&__pyx_n_s__warnings, __pyx_k__warnings, sizeof(__pyx_k__warnings), 0, 0, 1, 1},
{&__pyx_n_s__xrange, __pyx_k__xrange, sizeof(__pyx_k__xrange), 0, 0, 1, 1},
{&__pyx_n_s__y, __pyx_k__y, sizeof(__pyx_k__y), 0, 0, 1, 1},
{&__pyx_n_s__y_norm2, __pyx_k__y_norm2, sizeof(__pyx_k__y_norm2), 0, 0, 1, 1},
{&__pyx_n_s__zeros, __pyx_k__zeros, sizeof(__pyx_k__zeros), 0, 0, 1, 1},
{0, 0, 0, 0, 0, 0, 0}
};
static int __Pyx_InitCachedBuiltins(void) {
#if PY_MAJOR_VERSION >= 3
__pyx_builtin_xrange = __Pyx_GetName(__pyx_b, __pyx_n_s__range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#else
__pyx_builtin_xrange = __Pyx_GetName(__pyx_b, __pyx_n_s__xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#endif
__pyx_builtin_range = __Pyx_GetName(__pyx_b, __pyx_n_s__range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_builtin_ValueError = __Pyx_GetName(__pyx_b, __pyx_n_s__ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_builtin_RuntimeError = __Pyx_GetName(__pyx_b, __pyx_n_s__RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
return 0;
__pyx_L1_error:;
return -1;
}
static int __Pyx_InitCachedConstants(void) {
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);
/* "sklearn/linear_model/cd_fast.pyx":146
*
* if alpha == 0:
* warnings.warn("Coordinate descent with alpha=0 may lead to unexpected" # <<<<<<<<<<<<<<
* " results and is discouraged.")
*
*/
__pyx_k_tuple_3 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_3);
__Pyx_INCREF(((PyObject *)__pyx_kp_s_2));
PyTuple_SET_ITEM(__pyx_k_tuple_3, 0, ((PyObject *)__pyx_kp_s_2));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_s_2));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_3));
/* "sklearn/linear_model/cd_fast.pyx":423
*
* if alpha == 0:
* warnings.warn("Coordinate descent with alpha=0 may lead to unexpected" # <<<<<<<<<<<<<<
* " results and is discouraged.")
*
*/
__pyx_k_tuple_5 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 423; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_5);
__Pyx_INCREF(((PyObject *)__pyx_kp_s_2));
PyTuple_SET_ITEM(__pyx_k_tuple_5, 0, ((PyObject *)__pyx_kp_s_2));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_s_2));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_5));
/* "sklearn/linear_model/cd_fast.pyx":564
*
* if l1_reg == 0:
* warnings.warn("Coordinate descent with l1_reg=0 may lead to unexpected" # <<<<<<<<<<<<<<
* " results and is discouraged.")
*
*/
__pyx_k_tuple_7 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 564; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_7);
__Pyx_INCREF(((PyObject *)__pyx_kp_s_6));
PyTuple_SET_ITEM(__pyx_k_tuple_7, 0, ((PyObject *)__pyx_kp_s_6));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_s_6));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_7));
/* "numpy.pxd":215
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
* raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<<
*
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
*/
__pyx_k_tuple_9 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_9)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_9);
__Pyx_INCREF(((PyObject *)__pyx_kp_u_8));
PyTuple_SET_ITEM(__pyx_k_tuple_9, 0, ((PyObject *)__pyx_kp_u_8));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_8));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_9));
/* "numpy.pxd":219
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
* raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<<
*
* info.buf = PyArray_DATA(self)
*/
__pyx_k_tuple_11 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_11)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_11);
__Pyx_INCREF(((PyObject *)__pyx_kp_u_10));
PyTuple_SET_ITEM(__pyx_k_tuple_11, 0, ((PyObject *)__pyx_kp_u_10));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_10));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_11));
/* "numpy.pxd":257
* if ((descr.byteorder == c'>' and little_endian) or
* (descr.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
* if t == NPY_BYTE: f = "b"
* elif t == NPY_UBYTE: f = "B"
*/
__pyx_k_tuple_13 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_13)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_13);
__Pyx_INCREF(((PyObject *)__pyx_kp_u_12));
PyTuple_SET_ITEM(__pyx_k_tuple_13, 0, ((PyObject *)__pyx_kp_u_12));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_12));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_13));
/* "numpy.pxd":799
*
* if (end - f) - (new_offset - offset[0]) < 15:
* raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<<
*
* if ((child.byteorder == c'>' and little_endian) or
*/
__pyx_k_tuple_16 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_16)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_16);
__Pyx_INCREF(((PyObject *)__pyx_kp_u_15));
PyTuple_SET_ITEM(__pyx_k_tuple_16, 0, ((PyObject *)__pyx_kp_u_15));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_15));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_16));
/* "numpy.pxd":803
* if ((child.byteorder == c'>' and little_endian) or
* (child.byteorder == c'<' and not little_endian)):
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
* # One could encode it in the format string and have Cython
* # complain instead, BUT: < and > in format strings also imply
*/
__pyx_k_tuple_17 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_17)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_17);
__Pyx_INCREF(((PyObject *)__pyx_kp_u_12));
PyTuple_SET_ITEM(__pyx_k_tuple_17, 0, ((PyObject *)__pyx_kp_u_12));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_12));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_17));
/* "numpy.pxd":823
* t = child.type_num
* if end - f < 5:
* raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<<
*
* # Until ticket #99 is fixed, use integers to avoid warnings
*/
__pyx_k_tuple_19 = PyTuple_New(1); if (unlikely(!__pyx_k_tuple_19)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_19);
__Pyx_INCREF(((PyObject *)__pyx_kp_u_18));
PyTuple_SET_ITEM(__pyx_k_tuple_19, 0, ((PyObject *)__pyx_kp_u_18));
__Pyx_GIVEREF(((PyObject *)__pyx_kp_u_18));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_19));
/* "sklearn/linear_model/cd_fast.pyx":67
* @cython.wraparound(False)
* @cython.cdivision(True)
* def sparse_std(unsigned int n_samples, # <<<<<<<<<<<<<<
* unsigned int n_features,
* np.ndarray[DOUBLE, ndim=1] X_data,
*/
__pyx_k_tuple_22 = PyTuple_New(14); if (unlikely(!__pyx_k_tuple_22)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_22);
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_samples));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 0, ((PyObject *)__pyx_n_s__n_samples));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_samples));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_features));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 1, ((PyObject *)__pyx_n_s__n_features));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_features));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_data));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 2, ((PyObject *)__pyx_n_s__X_data));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_data));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_indices));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 3, ((PyObject *)__pyx_n_s__X_indices));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_indices));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_indptr));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 4, ((PyObject *)__pyx_n_s__X_indptr));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_indptr));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_mean));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 5, ((PyObject *)__pyx_n_s__X_mean));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_mean));
__Pyx_INCREF(((PyObject *)__pyx_n_s__ii));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 6, ((PyObject *)__pyx_n_s__ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__jj));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 7, ((PyObject *)__pyx_n_s__jj));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__jj));
__Pyx_INCREF(((PyObject *)__pyx_n_s__nnz_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 8, ((PyObject *)__pyx_n_s__nnz_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__nnz_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_sum_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 9, ((PyObject *)__pyx_n_s__X_sum_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_sum_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_mean_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 10, ((PyObject *)__pyx_n_s__X_mean_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_mean_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__diff));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 11, ((PyObject *)__pyx_n_s__diff));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__diff));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_std_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 12, ((PyObject *)__pyx_n_s__X_std_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_std_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_std));
PyTuple_SET_ITEM(__pyx_k_tuple_22, 13, ((PyObject *)__pyx_n_s__X_std));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_std));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_22));
__pyx_k_codeobj_23 = (PyObject*)__Pyx_PyCode_New(6, 0, 14, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_22, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_24, __pyx_n_s__sparse_std, 67, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_23)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "sklearn/linear_model/cd_fast.pyx":109
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=2] X,
*/
__pyx_k_tuple_26 = PyTuple_New(27); if (unlikely(!__pyx_k_tuple_26)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_26);
__Pyx_INCREF(((PyObject *)__pyx_n_s__w));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 0, ((PyObject *)__pyx_n_s__w));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w));
__Pyx_INCREF(((PyObject *)__pyx_n_s__alpha));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 1, ((PyObject *)__pyx_n_s__alpha));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__alpha));
__Pyx_INCREF(((PyObject *)__pyx_n_s__beta));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 2, ((PyObject *)__pyx_n_s__beta));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__beta));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 3, ((PyObject *)__pyx_n_s__X));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X));
__Pyx_INCREF(((PyObject *)__pyx_n_s__y));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 4, ((PyObject *)__pyx_n_s__y));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__y));
__Pyx_INCREF(((PyObject *)__pyx_n_s__max_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 5, ((PyObject *)__pyx_n_s__max_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__max_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tol));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 6, ((PyObject *)__pyx_n_s__tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__positive));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 7, ((PyObject *)__pyx_n_s__positive));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__positive));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_samples));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 8, ((PyObject *)__pyx_n_s__n_samples));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_samples));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_features));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 9, ((PyObject *)__pyx_n_s__n_features));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_features));
__Pyx_INCREF(((PyObject *)__pyx_n_s__norm_cols_X));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 10, ((PyObject *)__pyx_n_s__norm_cols_X));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__norm_cols_X));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 11, ((PyObject *)__pyx_n_s__R));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tmp));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 12, ((PyObject *)__pyx_n_s__tmp));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tmp));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 13, ((PyObject *)__pyx_n_s__w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 14, ((PyObject *)__pyx_n_s__d_w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 15, ((PyObject *)__pyx_n_s__w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 16, ((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__gap));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 17, ((PyObject *)__pyx_n_s__gap));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__gap));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_tol));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 18, ((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__ii));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 19, ((PyObject *)__pyx_n_s__ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 20, ((PyObject *)__pyx_n_s__n_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 21, ((PyObject *)__pyx_n_s__XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 22, ((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 23, ((PyObject *)__pyx_n_s__R_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 24, ((PyObject *)__pyx_n_s__w_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__const));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 25, ((PyObject *)__pyx_n_s__const));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__const));
__Pyx_INCREF(((PyObject *)__pyx_n_s__A_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_26, 26, ((PyObject *)__pyx_n_s__A_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__A_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_26));
__pyx_k_codeobj_27 = (PyObject*)__Pyx_PyCode_New(8, 0, 27, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_26, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_24, __pyx_n_s_28, 109, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_27)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "sklearn/linear_model/cd_fast.pyx":227
* @cython.wraparound(False)
* @cython.cdivision(True)
* def sparse_enet_coordinate_descent(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=1] X_data,
*/
__pyx_k_tuple_29 = PyTuple_New(35); if (unlikely(!__pyx_k_tuple_29)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_29);
__Pyx_INCREF(((PyObject *)__pyx_n_s__w));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 0, ((PyObject *)__pyx_n_s__w));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w));
__Pyx_INCREF(((PyObject *)__pyx_n_s__alpha));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 1, ((PyObject *)__pyx_n_s__alpha));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__alpha));
__Pyx_INCREF(((PyObject *)__pyx_n_s__beta));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 2, ((PyObject *)__pyx_n_s__beta));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__beta));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_data));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 3, ((PyObject *)__pyx_n_s__X_data));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_data));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_indices));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 4, ((PyObject *)__pyx_n_s__X_indices));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_indices));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_indptr));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 5, ((PyObject *)__pyx_n_s__X_indptr));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_indptr));
__Pyx_INCREF(((PyObject *)__pyx_n_s__y));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 6, ((PyObject *)__pyx_n_s__y));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__y));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_mean));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 7, ((PyObject *)__pyx_n_s__X_mean));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_mean));
__Pyx_INCREF(((PyObject *)__pyx_n_s__max_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 8, ((PyObject *)__pyx_n_s__max_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__max_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tol));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 9, ((PyObject *)__pyx_n_s__tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__positive));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 10, ((PyObject *)__pyx_n_s__positive));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__positive));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_samples));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 11, ((PyObject *)__pyx_n_s__n_samples));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_samples));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_features));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 12, ((PyObject *)__pyx_n_s__n_features));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_features));
__Pyx_INCREF(((PyObject *)__pyx_n_s__ii));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 13, ((PyObject *)__pyx_n_s__ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__norm_cols_X));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 14, ((PyObject *)__pyx_n_s__norm_cols_X));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__norm_cols_X));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 15, ((PyObject *)__pyx_n_s__R));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tmp));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 16, ((PyObject *)__pyx_n_s__tmp));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tmp));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 17, ((PyObject *)__pyx_n_s__w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 18, ((PyObject *)__pyx_n_s__d_w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 19, ((PyObject *)__pyx_n_s__w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 20, ((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_mean_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 21, ((PyObject *)__pyx_n_s__X_mean_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_mean_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R_sum));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 22, ((PyObject *)__pyx_n_s__R_sum));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R_sum));
__Pyx_INCREF(((PyObject *)__pyx_n_s__gap));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 23, ((PyObject *)__pyx_n_s__gap));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__gap));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_tol));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 24, ((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__jj));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 25, ((PyObject *)__pyx_n_s__jj));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__jj));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 26, ((PyObject *)__pyx_n_s__n_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__center));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 27, ((PyObject *)__pyx_n_s__center));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__center));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X_T_R));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 28, ((PyObject *)__pyx_n_s__X_T_R));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X_T_R));
__Pyx_INCREF(((PyObject *)__pyx_n_s__XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 29, ((PyObject *)__pyx_n_s__XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 30, ((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 31, ((PyObject *)__pyx_n_s__R_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 32, ((PyObject *)__pyx_n_s__w_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__const));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 33, ((PyObject *)__pyx_n_s__const));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__const));
__Pyx_INCREF(((PyObject *)__pyx_n_s__A_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_29, 34, ((PyObject *)__pyx_n_s__A_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__A_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_29));
__pyx_k_codeobj_30 = (PyObject*)__Pyx_PyCode_New(11, 0, 35, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_29, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_24, __pyx_n_s_31, 227, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_30)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "sklearn/linear_model/cd_fast.pyx":382
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent_gram(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=2] Q,
*/
__pyx_k_tuple_32 = PyTuple_New(29); if (unlikely(!__pyx_k_tuple_32)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_32);
__Pyx_INCREF(((PyObject *)__pyx_n_s__w));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 0, ((PyObject *)__pyx_n_s__w));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w));
__Pyx_INCREF(((PyObject *)__pyx_n_s__alpha));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 1, ((PyObject *)__pyx_n_s__alpha));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__alpha));
__Pyx_INCREF(((PyObject *)__pyx_n_s__beta));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 2, ((PyObject *)__pyx_n_s__beta));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__beta));
__Pyx_INCREF(((PyObject *)__pyx_n_s__Q));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 3, ((PyObject *)__pyx_n_s__Q));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__Q));
__Pyx_INCREF(((PyObject *)__pyx_n_s__q));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 4, ((PyObject *)__pyx_n_s__q));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__q));
__Pyx_INCREF(((PyObject *)__pyx_n_s__y));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 5, ((PyObject *)__pyx_n_s__y));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__y));
__Pyx_INCREF(((PyObject *)__pyx_n_s__max_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 6, ((PyObject *)__pyx_n_s__max_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__max_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tol));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 7, ((PyObject *)__pyx_n_s__tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__positive));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 8, ((PyObject *)__pyx_n_s__positive));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__positive));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_samples));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 9, ((PyObject *)__pyx_n_s__n_samples));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_samples));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_features));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 10, ((PyObject *)__pyx_n_s__n_features));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_features));
__Pyx_INCREF(((PyObject *)__pyx_n_s__H));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 11, ((PyObject *)__pyx_n_s__H));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__H));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tmp));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 12, ((PyObject *)__pyx_n_s__tmp));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tmp));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 13, ((PyObject *)__pyx_n_s__w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 14, ((PyObject *)__pyx_n_s__d_w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 15, ((PyObject *)__pyx_n_s__w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 16, ((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__gap));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 17, ((PyObject *)__pyx_n_s__gap));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__gap));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_tol));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 18, ((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__ii));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 19, ((PyObject *)__pyx_n_s__ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 20, ((PyObject *)__pyx_n_s__n_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__y_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 21, ((PyObject *)__pyx_n_s__y_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__y_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__q_dot_w));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 22, ((PyObject *)__pyx_n_s__q_dot_w));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__q_dot_w));
__Pyx_INCREF(((PyObject *)__pyx_n_s__XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 23, ((PyObject *)__pyx_n_s__XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 24, ((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 25, ((PyObject *)__pyx_n_s__R_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 26, ((PyObject *)__pyx_n_s__w_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_norm2));
__Pyx_INCREF(((PyObject *)__pyx_n_s__const));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 27, ((PyObject *)__pyx_n_s__const));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__const));
__Pyx_INCREF(((PyObject *)__pyx_n_s__A_norm2));
PyTuple_SET_ITEM(__pyx_k_tuple_32, 28, ((PyObject *)__pyx_n_s__A_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__A_norm2));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_32));
__pyx_k_codeobj_33 = (PyObject*)__Pyx_PyCode_New(9, 0, 29, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_32, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_24, __pyx_n_s_34, 382, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_33)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/* "sklearn/linear_model/cd_fast.pyx":525
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent_multi_task(np.ndarray[DOUBLE, ndim=2, mode='fortran'] W, # <<<<<<<<<<<<<<
* double l1_reg, double l2_reg,
* np.ndarray[DOUBLE, ndim=2, mode='fortran'] X,
*/
__pyx_k_tuple_35 = PyTuple_New(29); if (unlikely(!__pyx_k_tuple_35)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_k_tuple_35);
__Pyx_INCREF(((PyObject *)__pyx_n_s__W));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 0, ((PyObject *)__pyx_n_s__W));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__W));
__Pyx_INCREF(((PyObject *)__pyx_n_s__l1_reg));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 1, ((PyObject *)__pyx_n_s__l1_reg));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__l1_reg));
__Pyx_INCREF(((PyObject *)__pyx_n_s__l2_reg));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 2, ((PyObject *)__pyx_n_s__l2_reg));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__l2_reg));
__Pyx_INCREF(((PyObject *)__pyx_n_s__X));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 3, ((PyObject *)__pyx_n_s__X));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__X));
__Pyx_INCREF(((PyObject *)__pyx_n_s__Y));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 4, ((PyObject *)__pyx_n_s__Y));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__Y));
__Pyx_INCREF(((PyObject *)__pyx_n_s__max_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 5, ((PyObject *)__pyx_n_s__max_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__max_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tol));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 6, ((PyObject *)__pyx_n_s__tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_samples));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 7, ((PyObject *)__pyx_n_s__n_samples));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_samples));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_features));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 8, ((PyObject *)__pyx_n_s__n_features));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_features));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_tasks));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 9, ((PyObject *)__pyx_n_s__n_tasks));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_tasks));
__Pyx_INCREF(((PyObject *)__pyx_n_s__norm_cols_X));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 10, ((PyObject *)__pyx_n_s__norm_cols_X));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__norm_cols_X));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 11, ((PyObject *)__pyx_n_s__R));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R));
__Pyx_INCREF(((PyObject *)__pyx_n_s__tmp));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 12, ((PyObject *)__pyx_n_s__tmp));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__tmp));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 13, ((PyObject *)__pyx_n_s__w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 14, ((PyObject *)__pyx_n_s__d_w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_max));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 15, ((PyObject *)__pyx_n_s__w_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_ii));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 16, ((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__nn));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 17, ((PyObject *)__pyx_n_s__nn));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__nn));
__Pyx_INCREF(((PyObject *)__pyx_n_s__W_ii_abs_max));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 18, ((PyObject *)__pyx_n_s__W_ii_abs_max));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__W_ii_abs_max));
__Pyx_INCREF(((PyObject *)__pyx_n_s__gap));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 19, ((PyObject *)__pyx_n_s__gap));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__gap));
__Pyx_INCREF(((PyObject *)__pyx_n_s__d_w_tol));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 20, ((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__d_w_tol));
__Pyx_INCREF(((PyObject *)__pyx_n_s__ii));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 21, ((PyObject *)__pyx_n_s__ii));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__ii));
__Pyx_INCREF(((PyObject *)__pyx_n_s__n_iter));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 22, ((PyObject *)__pyx_n_s__n_iter));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__n_iter));
__Pyx_INCREF(((PyObject *)__pyx_n_s__XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 23, ((PyObject *)__pyx_n_s__XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 24, ((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__dual_norm_XtA));
__Pyx_INCREF(((PyObject *)__pyx_n_s__R_norm));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 25, ((PyObject *)__pyx_n_s__R_norm));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__R_norm));
__Pyx_INCREF(((PyObject *)__pyx_n_s__w_norm));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 26, ((PyObject *)__pyx_n_s__w_norm));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__w_norm));
__Pyx_INCREF(((PyObject *)__pyx_n_s__const));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 27, ((PyObject *)__pyx_n_s__const));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__const));
__Pyx_INCREF(((PyObject *)__pyx_n_s__A_norm));
PyTuple_SET_ITEM(__pyx_k_tuple_35, 28, ((PyObject *)__pyx_n_s__A_norm));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s__A_norm));
__Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_35));
__pyx_k_codeobj_36 = (PyObject*)__Pyx_PyCode_New(7, 0, 29, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_35, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_24, __pyx_n_s_37, 525, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_36)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_RefNannyFinishContext();
return 0;
__pyx_L1_error:;
__Pyx_RefNannyFinishContext();
return -1;
}
static int __Pyx_InitGlobals(void) {
if (__Pyx_InitStrings(__pyx_string_tab) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__pyx_int_2 = PyInt_FromLong(2); if (unlikely(!__pyx_int_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
__pyx_int_15 = PyInt_FromLong(15); if (unlikely(!__pyx_int_15)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
return 0;
__pyx_L1_error:;
return -1;
}
#if PY_MAJOR_VERSION < 3
PyMODINIT_FUNC initcd_fast(void); /*proto*/
PyMODINIT_FUNC initcd_fast(void)
#else
PyMODINIT_FUNC PyInit_cd_fast(void); /*proto*/
PyMODINIT_FUNC PyInit_cd_fast(void)
#endif
{
PyObject *__pyx_t_1 = NULL;
PyObject *__pyx_t_2 = NULL;
__Pyx_RefNannyDeclarations
#if CYTHON_REFNANNY
__Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny");
if (!__Pyx_RefNanny) {
PyErr_Clear();
__Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny");
if (!__Pyx_RefNanny)
Py_FatalError("failed to import 'refnanny' module");
}
#endif
__Pyx_RefNannySetupContext("PyMODINIT_FUNC PyInit_cd_fast(void)", 0);
if ( __Pyx_check_binary_version() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#ifdef __Pyx_CyFunction_USED
if (__Pyx_CyFunction_init() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#endif
#ifdef __Pyx_FusedFunction_USED
if (__pyx_FusedFunction_init() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#endif
#ifdef __Pyx_Generator_USED
if (__pyx_Generator_init() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#endif
/*--- Library function declarations ---*/
/*--- Threads initialization code ---*/
#if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS
#ifdef WITH_THREAD /* Python build with threading support? */
PyEval_InitThreads();
#endif
#endif
/*--- Module creation code ---*/
#if PY_MAJOR_VERSION < 3
__pyx_m = Py_InitModule4(__Pyx_NAMESTR("cd_fast"), __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
#else
__pyx_m = PyModule_Create(&__pyx_moduledef);
#endif
if (unlikely(!__pyx_m)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#if PY_MAJOR_VERSION >= 3
{
PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (!PyDict_GetItemString(modules, "sklearn.linear_model.cd_fast")) {
if (unlikely(PyDict_SetItemString(modules, "sklearn.linear_model.cd_fast", __pyx_m) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
}
}
#endif
__pyx_b = PyImport_AddModule(__Pyx_NAMESTR(__Pyx_BUILTIN_MODULE_NAME)); if (unlikely(!__pyx_b)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
#if CYTHON_COMPILING_IN_PYPY
Py_INCREF(__pyx_b);
#endif
if (__Pyx_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
/*--- Initialize various global constants etc. ---*/
if (unlikely(__Pyx_InitGlobals() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__pyx_module_is_main_sklearn__linear_model__cd_fast) {
if (__Pyx_SetAttrString(__pyx_m, "__name__", __pyx_n_s____main__) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
}
/*--- Builtin init code ---*/
if (unlikely(__Pyx_InitCachedBuiltins() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/*--- Constants init code ---*/
if (unlikely(__Pyx_InitCachedConstants() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/*--- Global init code ---*/
/*--- Variable export code ---*/
/*--- Function export code ---*/
/*--- Type init code ---*/
/*--- 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 = 165; __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 = 169; __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 = 178; __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 = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7cpython_4bool_bool = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "bool", sizeof(PyBoolObject), 0); if (unlikely(!__pyx_ptype_7cpython_4bool_bool)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 8; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7cpython_7complex_complex = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "complex", sizeof(PyComplexObject), 0); if (unlikely(!__pyx_ptype_7cpython_7complex_complex)) {__pyx_filename = __pyx_f[4]; __pyx_lineno = 15; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
/*--- Variable import code ---*/
/*--- Function import code ---*/
/*--- Execution code ---*/
/* "sklearn/linear_model/cd_fast.pyx":10
* from libc.math cimport fabs, sqrt
* cimport numpy as np
* import numpy as np # <<<<<<<<<<<<<<
* import numpy.linalg as linalg
*
*/
__pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 10; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__np, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 10; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
/* "sklearn/linear_model/cd_fast.pyx":11
* cimport numpy as np
* import numpy as np
* import numpy.linalg as linalg # <<<<<<<<<<<<<<
*
* cimport cython
*/
__pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 11; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_1);
__Pyx_INCREF(((PyObject *)__pyx_n_s_21));
PyList_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_n_s_21));
__Pyx_GIVEREF(((PyObject *)__pyx_n_s_21));
__pyx_t_2 = __Pyx_Import(((PyObject *)__pyx_n_s_20), ((PyObject *)__pyx_t_1), -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 11; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0;
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__linalg, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 11; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":15
* cimport cython
* from cpython cimport bool
* import warnings # <<<<<<<<<<<<<<
*
* np.import_array()
*/
__pyx_t_2 = __Pyx_Import(((PyObject *)__pyx_n_s__warnings), 0, -1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 15; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__warnings, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 15; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":17
* import warnings
*
* np.import_array() # <<<<<<<<<<<<<<
*
*
*/
import_array();
/* "sklearn/linear_model/cd_fast.pyx":67
* @cython.wraparound(False)
* @cython.cdivision(True)
* def sparse_std(unsigned int n_samples, # <<<<<<<<<<<<<<
* unsigned int n_features,
* np.ndarray[DOUBLE, ndim=1] X_data,
*/
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_12linear_model_7cd_fast_1sparse_std, NULL, __pyx_n_s_25); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s__sparse_std, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":113
* np.ndarray[DOUBLE, ndim=2] X,
* np.ndarray[DOUBLE, ndim=1] y,
* int max_iter, double tol, bool positive=False): # <<<<<<<<<<<<<<
* """Cython version of the coordinate descent algorithm
* for Elastic-Net regression
*/
__pyx_t_2 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (!(likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_7cpython_4bool_bool)))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_k_1 = ((PyBoolObject *)__pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":109
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=2] X,
*/
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_12linear_model_7cd_fast_3enet_coordinate_descent, NULL, __pyx_n_s_25); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s_28, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":227
* @cython.wraparound(False)
* @cython.cdivision(True)
* def sparse_enet_coordinate_descent(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=1] X_data,
*/
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_12linear_model_7cd_fast_5sparse_enet_coordinate_descent, NULL, __pyx_n_s_25); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s_31, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 227; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":387
* np.ndarray[DOUBLE, ndim=1] q,
* np.ndarray[DOUBLE, ndim=1] y,
* int max_iter, double tol, bool positive=False): # <<<<<<<<<<<<<<
* """Cython version of the coordinate descent algorithm
* for Elastic-Net regression
*/
__pyx_t_2 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 387; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (!(likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_7cpython_4bool_bool)))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 387; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_k_4 = ((PyBoolObject *)__pyx_t_2);
__Pyx_GIVEREF(__pyx_t_2);
__pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":382
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent_gram(np.ndarray[DOUBLE, ndim=1] w, # <<<<<<<<<<<<<<
* double alpha, double beta,
* np.ndarray[DOUBLE, ndim=2] Q,
*/
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_12linear_model_7cd_fast_7enet_coordinate_descent_gram, NULL, __pyx_n_s_25); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s_34, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 382; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":525
* @cython.wraparound(False)
* @cython.cdivision(True)
* def enet_coordinate_descent_multi_task(np.ndarray[DOUBLE, ndim=2, mode='fortran'] W, # <<<<<<<<<<<<<<
* double l1_reg, double l2_reg,
* np.ndarray[DOUBLE, ndim=2, mode='fortran'] X,
*/
__pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_7sklearn_12linear_model_7cd_fast_9enet_coordinate_descent_multi_task, NULL, __pyx_n_s_25); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_2);
if (PyObject_SetAttr(__pyx_m, __pyx_n_s_37, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 525; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
/* "sklearn/linear_model/cd_fast.pyx":1
* # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr> # <<<<<<<<<<<<<<
* # Fabian Pedregosa <fabian.pedregosa@inria.fr>
* # Olivier Grisel <olivier.grisel@ensta.org>
*/
__pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(((PyObject *)__pyx_t_2));
if (PyObject_SetAttr(__pyx_m, __pyx_n_s____test__, ((PyObject *)__pyx_t_2)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0;
/* "numpy.pxd":975
* arr.base = baseptr
*
* cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<<
* if arr.base is NULL:
* return None
*/
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_1);
__Pyx_XDECREF(__pyx_t_2);
if (__pyx_m) {
__Pyx_AddTraceback("init sklearn.linear_model.cd_fast", __pyx_clineno, __pyx_lineno, __pyx_filename);
Py_DECREF(__pyx_m); __pyx_m = 0;
} else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_ImportError, "init sklearn.linear_model.cd_fast");
}
__pyx_L0:;
__Pyx_RefNannyFinishContext();
#if PY_MAJOR_VERSION < 3
return;
#else
return __pyx_m;
#endif
}
/* Runtime support code */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
PyObject *m = NULL, *p = NULL;
void *r = NULL;
m = PyImport_ImportModule((char *)modname);
if (!m) goto end;
p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
if (!p) goto end;
r = PyLong_AsVoidPtr(p);
end:
Py_XDECREF(p);
Py_XDECREF(m);
return (__Pyx_RefNannyAPIStruct *)r;
}
#endif /* CYTHON_REFNANNY */
static PyObject *__Pyx_GetName(PyObject *dict, PyObject *name) {
PyObject *result;
result = PyObject_GetAttr(dict, name);
if (!result) {
if (dict != __pyx_b) {
PyErr_Clear();
result = PyObject_GetAttr(__pyx_b, name);
}
if (!result) {
PyErr_SetObject(PyExc_NameError, name);
}
}
return result;
}
static void __Pyx_RaiseArgtupleInvalid(
const char* func_name,
int exact,
Py_ssize_t num_min,
Py_ssize_t num_max,
Py_ssize_t num_found)
{
Py_ssize_t num_expected;
const char *more_or_less;
if (num_found < num_min) {
num_expected = num_min;
more_or_less = "at least";
} else {
num_expected = num_max;
more_or_less = "at most";
}
if (exact) {
more_or_less = "exactly";
}
PyErr_Format(PyExc_TypeError,
"%s() takes %s %" CYTHON_FORMAT_SSIZE_T "d positional argument%s (%" CYTHON_FORMAT_SSIZE_T "d given)",
func_name, more_or_less, num_expected,
(num_expected == 1) ? "" : "s", num_found);
}
static void __Pyx_RaiseDoubleKeywordsError(
const char* func_name,
PyObject* kw_name)
{
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION >= 3
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
#else
"%s() got multiple values for keyword argument '%s'", func_name,
PyString_AsString(kw_name));
#endif
}
static int __Pyx_ParseOptionalKeywords(
PyObject *kwds,
PyObject **argnames[],
PyObject *kwds2,
PyObject *values[],
Py_ssize_t num_pos_args,
const char* function_name)
{
PyObject *key = 0, *value = 0;
Py_ssize_t pos = 0;
PyObject*** name;
PyObject*** first_kw_arg = argnames + num_pos_args;
while (PyDict_Next(kwds, &pos, &key, &value)) {
name = first_kw_arg;
while (*name && (**name != key)) name++;
if (*name) {
values[name-argnames] = value;
continue;
}
name = first_kw_arg;
#if PY_MAJOR_VERSION < 3
if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
while (*name) {
if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
&& _PyString_Eq(**name, key)) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
if ((**argname == key) || (
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
&& _PyString_Eq(**argname, key))) {
goto arg_passed_twice;
}
argname++;
}
}
} else
#endif
if (likely(PyUnicode_Check(key))) {
while (*name) {
int cmp = (**name == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**name, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
int cmp = (**argname == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**argname, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) goto arg_passed_twice;
argname++;
}
}
} else
goto invalid_keyword_type;
if (kwds2) {
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
} else {
goto invalid_keyword;
}
}
return 0;
arg_passed_twice:
__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%s() keywords must be strings", function_name);
goto bad;
invalid_keyword:
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%s() got an unexpected keyword argument '%s'",
function_name, PyString_AsString(key));
#else
"%s() got an unexpected keyword argument '%U'",
function_name, key);
#endif
bad:
return -1;
}
static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
const char *name, int exact)
{
if (!type) {
PyErr_Format(PyExc_SystemError, "Missing type object");
return 0;
}
if (none_allowed && obj == Py_None) return 1;
else if (exact) {
if (Py_TYPE(obj) == type) return 1;
}
else {
if (PyObject_TypeCheck(obj, type)) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%s' has incorrect type (expected %s, got %s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
static CYTHON_INLINE int __Pyx_IsLittleEndian(void) {
unsigned int n = 1;
return *(unsigned char*)(&n) != 0;
}
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t < '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1) /* First char was not a digit */
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count; /* Consume from buffer string */
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break; /* breaks both loops as ctx->enc_count == 0 */
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue; /* empty struct */
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static CYTHON_INLINE PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
int ndim = ctx->head->field->type->ndim;
;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
while (*ts && *ts != ')') {
if (isspace(*ts))
continue;
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case 10:
case 13:
++ts;
break;
case '<':
if (!__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T': /* substruct */
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0; /* Erase processed last struct element */
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}': /* end of substruct; either repeat or move on */
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0; /* Erase processed last struct element */
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
} /* fall through */
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 's': case 'p':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
ctx->enc_count += ctx->new_count;
} else {
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
}
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
buf->buf = NULL;
buf->obj = NULL;
buf->strides = __Pyx_zeros;
buf->shape = __Pyx_zeros;
buf->suboffsets = __Pyx_minusones;
}
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
if (obj == Py_None || obj == NULL) {
__Pyx_ZeroBuffer(buf);
return 0;
}
buf->buf = NULL;
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
if (buf->ndim != nd) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
nd, buf->ndim);
goto fail;
}
if (!cast) {
__Pyx_BufFmt_Context ctx;
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned)buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
return 0;
fail:;
__Pyx_ZeroBuffer(buf);
return -1;
}
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
if (info->buf == NULL) return;
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
__Pyx_ReleaseBuffer(info);
}
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_Format(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(PyObject_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
static void __Pyx_RaiseBufferFallbackError(void) {
PyErr_Format(PyExc_ValueError,
"Buffer acquisition failed on assignment; and then reacquiring the old buffer failed too!");
}
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyThreadState *tstate = PyThreadState_GET();
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_Restore(type, value, tb);
#endif
}
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(type, value, tb);
#endif
}
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
#if PY_VERSION_HEX < 0x02050000
if (PyClass_Check(type)) {
#else
if (PyType_Check(type)) {
#endif
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
#if PY_VERSION_HEX < 0x02050000
if (PyInstance_Check(type)) {
type = (PyObject*) ((PyInstanceObject*)type)->in_class;
Py_INCREF(type);
}
else {
type = 0;
PyErr_SetString(PyExc_TypeError,
"raise: exception must be an old-style class or instance");
goto raise_error;
}
#else
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
#endif
}
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else /* Python 3+ */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
}
else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyEval_CallObject(type, args);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause && cause != Py_None) {
PyObject *fixed_cause;
if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
}
else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
}
else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
PyThreadState *tstate = PyThreadState_GET();
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%s to unpack",
index, (index == 1) ? "" : "s");
}
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
static CYTHON_INLINE int __Pyx_IterFinish(void) {
#if CYTHON_COMPILING_IN_CPYTHON
PyThreadState *tstate = PyThreadState_GET();
PyObject* exc_type = tstate->curexc_type;
if (unlikely(exc_type)) {
if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) {
PyObject *exc_value, *exc_tb;
exc_value = tstate->curexc_value;
exc_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
Py_DECREF(exc_type);
Py_XDECREF(exc_value);
Py_XDECREF(exc_tb);
return 0;
} else {
return -1;
}
}
return 0;
#else
if (unlikely(PyErr_Occurred())) {
if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
PyErr_Clear();
return 0;
} else {
return -1;
}
}
return 0;
#endif
}
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
if (unlikely(retval)) {
Py_DECREF(retval);
__Pyx_RaiseTooManyValuesError(expected);
return -1;
} else {
return __Pyx_IterFinish();
}
return 0;
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
CYTHON_UNUSED PyObject *getbuffer_cobj;
#if PY_VERSION_HEX >= 0x02060000
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
#endif
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
#if PY_VERSION_HEX < 0x02060000
if (obj->ob_type->tp_dict &&
(getbuffer_cobj = PyMapping_GetItemString(obj->ob_type->tp_dict,
"__pyx_getbuffer"))) {
getbufferproc func;
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0)
func = (getbufferproc) PyCapsule_GetPointer(getbuffer_cobj, "getbuffer(obj, view, flags)");
#else
func = (getbufferproc) PyCObject_AsVoidPtr(getbuffer_cobj);
#endif
Py_DECREF(getbuffer_cobj);
if (!func)
goto fail;
return func(obj, view, flags);
} else {
PyErr_Clear();
}
#endif
PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
#if PY_VERSION_HEX < 0x02060000
fail:
#endif
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
CYTHON_UNUSED PyObject *releasebuffer_cobj;
if (!obj) return;
#if PY_VERSION_HEX >= 0x02060000
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
#endif
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; }
#if PY_VERSION_HEX < 0x02060000
if (obj->ob_type->tp_dict &&
(releasebuffer_cobj = PyMapping_GetItemString(obj->ob_type->tp_dict,
"__pyx_releasebuffer"))) {
releasebufferproc func;
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0)
func = (releasebufferproc) PyCapsule_GetPointer(releasebuffer_cobj, "releasebuffer(obj, view)");
#else
func = (releasebufferproc) PyCObject_AsVoidPtr(releasebuffer_cobj);
#endif
Py_DECREF(releasebuffer_cobj);
if (!func)
goto fail;
func(obj, view);
return;
} else {
PyErr_Clear();
}
#endif
goto nofail;
#if PY_VERSION_HEX < 0x02060000
fail:
#endif
PyErr_WriteUnraisable(obj);
nofail:
Py_DECREF(obj);
view->obj = NULL;
}
#endif /* PY_MAJOR_VERSION < 3 */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level) {
PyObject *py_import = 0;
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
py_import = __Pyx_GetAttrString(__pyx_b, "__import__");
if (!py_import)
goto bad;
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
#if PY_VERSION_HEX >= 0x02050000
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
/* try package relative import first */
PyObject *py_level = PyInt_FromLong(1);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0; /* try absolute import on failure */
}
#endif
if (!module) {
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
}
}
#else
if (level>0) {
PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4.");
goto bad;
}
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, NULL);
#endif
bad:
Py_XDECREF(empty_list);
Py_XDECREF(py_import);
Py_XDECREF(empty_dict);
return module;
}
static CYTHON_INLINE PyObject *__Pyx_PyInt_to_py_npy_int32(npy_int32 val) {
const npy_int32 neg_one = (npy_int32)-1, const_zero = (npy_int32)0;
const int is_unsigned = const_zero < neg_one;
if ((sizeof(npy_int32) == sizeof(char)) ||
(sizeof(npy_int32) == sizeof(short))) {
return PyInt_FromLong((long)val);
} else if ((sizeof(npy_int32) == sizeof(int)) ||
(sizeof(npy_int32) == sizeof(long))) {
if (is_unsigned)
return PyLong_FromUnsignedLong((unsigned long)val);
else
return PyInt_FromLong((long)val);
} else if (sizeof(npy_int32) == sizeof(PY_LONG_LONG)) {
if (is_unsigned)
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG)val);
else
return PyLong_FromLongLong((PY_LONG_LONG)val);
} else {
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
return _PyLong_FromByteArray(bytes, sizeof(npy_int32),
little, !is_unsigned);
}
}
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return ::std::complex< float >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return x + y*(__pyx_t_float_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
__pyx_t_float_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrtf(z.real*z.real + z.imag*z.imag);
#else
return hypotf(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
float denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(a, a);
case 3:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, a);
case 4:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_absf(a);
theta = atan2f(a.imag, a.real);
}
lnr = logf(r);
z_r = expf(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cosf(z_theta);
z.imag = z_r * sinf(z_theta);
return z;
}
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return ::std::complex< double >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return x + y*(__pyx_t_double_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
__pyx_t_double_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrt(z.real*z.real + z.imag*z.imag);
#else
return hypot(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
double denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(a, a);
case 3:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, a);
case 4:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_abs(a);
theta = atan2(a.imag, a.real);
}
lnr = log(r);
z_r = exp(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cos(z_theta);
z.imag = z_r * sin(z_theta);
return z;
}
#endif
#endif
static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) {
const unsigned char neg_one = (unsigned char)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(unsigned char) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(unsigned char)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to unsigned char" :
"value too large to convert to unsigned char");
}
return (unsigned char)-1;
}
return (unsigned char)val;
}
return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x);
}
static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) {
const unsigned short neg_one = (unsigned short)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(unsigned short) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(unsigned short)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to unsigned short" :
"value too large to convert to unsigned short");
}
return (unsigned short)-1;
}
return (unsigned short)val;
}
return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x);
}
static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) {
const unsigned int neg_one = (unsigned int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(unsigned int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(unsigned int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to unsigned int" :
"value too large to convert to unsigned int");
}
return (unsigned int)-1;
}
return (unsigned int)val;
}
return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x);
}
static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) {
const char neg_one = (char)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(char) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(char)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to char" :
"value too large to convert to char");
}
return (char)-1;
}
return (char)val;
}
return (char)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) {
const short neg_one = (short)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(short) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(short)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to short" :
"value too large to convert to short");
}
return (short)-1;
}
return (short)val;
}
return (short)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) {
const int neg_one = (int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to int" :
"value too large to convert to int");
}
return (int)-1;
}
return (int)val;
}
return (int)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) {
const signed char neg_one = (signed char)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(signed char) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(signed char)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to signed char" :
"value too large to convert to signed char");
}
return (signed char)-1;
}
return (signed char)val;
}
return (signed char)__Pyx_PyInt_AsSignedLong(x);
}
static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) {
const signed short neg_one = (signed short)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(signed short) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(signed short)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to signed short" :
"value too large to convert to signed short");
}
return (signed short)-1;
}
return (signed short)val;
}
return (signed short)__Pyx_PyInt_AsSignedLong(x);
}
static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) {
const signed int neg_one = (signed int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(signed int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(signed int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to signed int" :
"value too large to convert to signed int");
}
return (signed int)-1;
}
return (signed int)val;
}
return (signed int)__Pyx_PyInt_AsSignedLong(x);
}
static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) {
const int neg_one = (int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to int" :
"value too large to convert to int");
}
return (int)-1;
}
return (int)val;
}
return (int)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) {
const unsigned long neg_one = (unsigned long)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned long");
return (unsigned long)-1;
}
return (unsigned long)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned long");
return (unsigned long)-1;
}
return (unsigned long)PyLong_AsUnsignedLong(x);
} else {
return (unsigned long)PyLong_AsLong(x);
}
} else {
unsigned long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (unsigned long)-1;
val = __Pyx_PyInt_AsUnsignedLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) {
const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned PY_LONG_LONG");
return (unsigned PY_LONG_LONG)-1;
}
return (unsigned PY_LONG_LONG)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned PY_LONG_LONG");
return (unsigned PY_LONG_LONG)-1;
}
return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
} else {
return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x);
}
} else {
unsigned PY_LONG_LONG val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (unsigned PY_LONG_LONG)-1;
val = __Pyx_PyInt_AsUnsignedLongLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) {
const long neg_one = (long)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long)-1;
}
return (long)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long)-1;
}
return (long)PyLong_AsUnsignedLong(x);
} else {
return (long)PyLong_AsLong(x);
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (long)-1;
val = __Pyx_PyInt_AsLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) {
const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to PY_LONG_LONG");
return (PY_LONG_LONG)-1;
}
return (PY_LONG_LONG)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to PY_LONG_LONG");
return (PY_LONG_LONG)-1;
}
return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
} else {
return (PY_LONG_LONG)PyLong_AsLongLong(x);
}
} else {
PY_LONG_LONG val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (PY_LONG_LONG)-1;
val = __Pyx_PyInt_AsLongLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) {
const signed long neg_one = (signed long)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed long");
return (signed long)-1;
}
return (signed long)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed long");
return (signed long)-1;
}
return (signed long)PyLong_AsUnsignedLong(x);
} else {
return (signed long)PyLong_AsLong(x);
}
} else {
signed long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (signed long)-1;
val = __Pyx_PyInt_AsSignedLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) {
const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed PY_LONG_LONG");
return (signed PY_LONG_LONG)-1;
}
return (signed PY_LONG_LONG)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed PY_LONG_LONG");
return (signed PY_LONG_LONG)-1;
}
return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
} else {
return (signed PY_LONG_LONG)PyLong_AsLongLong(x);
}
} else {
signed PY_LONG_LONG val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (signed PY_LONG_LONG)-1;
val = __Pyx_PyInt_AsSignedLongLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
#if PY_VERSION_HEX < 0x02050000
return PyErr_Warn(NULL, message);
#else
return PyErr_WarnEx(NULL, message, 1);
#endif
}
return 0;
}
#ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
PyObject *py_name = 0;
PyObject *py_module = 0;
py_name = __Pyx_PyIdentifier_FromString(name);
if (!py_name)
goto bad;
py_module = PyImport_Import(py_name);
Py_DECREF(py_name);
return py_module;
bad:
Py_XDECREF(py_name);
return 0;
}
#endif
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
size_t size, int strict)
{
PyObject *py_module = 0;
PyObject *result = 0;
PyObject *py_name = 0;
char warning[200];
py_module = __Pyx_ImportModule(module_name);
if (!py_module)
goto bad;
py_name = __Pyx_PyIdentifier_FromString(class_name);
if (!py_name)
goto bad;
result = PyObject_GetAttr(py_module, py_name);
Py_DECREF(py_name);
py_name = 0;
Py_DECREF(py_module);
py_module = 0;
if (!result)
goto bad;
if (!PyType_Check(result)) {
PyErr_Format(PyExc_TypeError,
"%s.%s is not a type object",
module_name, class_name);
goto bad;
}
if (!strict && (size_t)((PyTypeObject *)result)->tp_basicsize > size) {
PyOS_snprintf(warning, sizeof(warning),
"%s.%s size changed, may indicate binary incompatibility",
module_name, class_name);
#if PY_VERSION_HEX < 0x02050000
if (PyErr_Warn(NULL, warning) < 0) goto bad;
#else
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
#endif
}
else if ((size_t)((PyTypeObject *)result)->tp_basicsize != size) {
PyErr_Format(PyExc_ValueError,
"%s.%s has the wrong size, try recompiling",
module_name, class_name);
goto bad;
}
return (PyTypeObject *)result;
bad:
Py_XDECREF(py_module);
Py_XDECREF(result);
return NULL;
}
#endif
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = (start + end) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, new_max*sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0, /*int argcount,*/
0, /*int kwonlyargcount,*/
0, /*int nlocals,*/
0, /*int stacksize,*/
0, /*int flags,*/
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line, /*int firstlineno,*/
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_globals = 0;
PyFrameObject *py_frame = 0;
py_code = __pyx_find_code_object(c_line ? c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? c_line : py_line, py_code);
}
py_globals = PyModule_GetDict(__pyx_m);
if (!py_globals) goto bad;
py_frame = PyFrame_New(
PyThreadState_GET(), /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
py_globals, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
py_frame->f_lineno = py_line;
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else /* Python 3+ has unicode identifiers */
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
++t;
}
return 0;
}
/* Type Conversion Functions */
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) {
PyNumberMethods *m;
const char *name = NULL;
PyObject *res = NULL;
#if PY_VERSION_HEX < 0x03000000
if (PyInt_Check(x) || PyLong_Check(x))
#else
if (PyLong_Check(x))
#endif
return Py_INCREF(x), x;
m = Py_TYPE(x)->tp_as_number;
#if PY_VERSION_HEX < 0x03000000
if (m && m->nb_int) {
name = "int";
res = PyNumber_Int(x);
}
else if (m && m->nb_long) {
name = "long";
res = PyNumber_Long(x);
}
#else
if (m && m->nb_int) {
name = "int";
res = PyNumber_Long(x);
}
#endif
if (res) {
#if PY_VERSION_HEX < 0x03000000
if (!PyInt_Check(res) && !PyLong_Check(res)) {
#else
if (!PyLong_Check(res)) {
#endif
PyErr_Format(PyExc_TypeError,
"__%s__ returned non-%s (type %.200s)",
name, name, Py_TYPE(res)->tp_name);
Py_DECREF(res);
return NULL;
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject* x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
#if PY_VERSION_HEX < 0x02050000
if (ival <= LONG_MAX)
return PyInt_FromLong((long)ival);
else {
unsigned char *bytes = (unsigned char *) &ival;
int one = 1; int little = (int)*(unsigned char*)&one;
return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0);
}
#else
return PyInt_FromSize_t(ival);
#endif
}
static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) {
unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x);
if (unlikely(val == (unsigned PY_LONG_LONG)-1 && PyErr_Occurred())) {
return (size_t)-1;
} else if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) {
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to size_t");
return (size_t)-1;
}
return (size_t)val;
}
#endif /* Py_PYTHON_H */
Reference in New Issue View Git Blame Copy Permalink