scikit-learn/sklearn/tree/_tree.c

12163 lines
493 KiB
C

/* Generated by Cython 0.15.1 on Tue Mar 20 14:57:24 2012 */
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#define _USE_MATH_DEFINES
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#include <math.h>
#define __PYX_HAVE__sklearn__tree___tree
#define __PYX_HAVE_API__sklearn__tree___tree
#include "stdio.h"
#include "stdlib.h"
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include "math.h"
#include "float.h"
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typedef struct {PyObject **p; char *s; const long n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/
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#define unlikely(x) __builtin_expect(!!(x), 0)
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#undef _Complex_I
#define _Complex_I 1.0fj
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static const char *__pyx_f[] = {
"_tree.pyx",
"numpy.pxd",
};
/* "numpy.pxd":719
* # 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":720
*
* 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":721
* 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":722
* 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":726
* #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":727
*
* 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":728
* 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":729
* 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":733
* #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":734
*
* 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":743
* # The int types are mapped a bit surprising --
* # numpy.int corresponds to 'l' and numpy.long to 'q'
* ctypedef npy_long int_t # <<<<<<<<<<<<<<
* ctypedef npy_longlong long_t
* ctypedef npy_longlong longlong_t
*/
typedef npy_long __pyx_t_5numpy_int_t;
/* "numpy.pxd":744
* # numpy.int corresponds to 'l' and numpy.long to 'q'
* ctypedef npy_long int_t
* ctypedef npy_longlong long_t # <<<<<<<<<<<<<<
* ctypedef npy_longlong longlong_t
*
*/
typedef npy_longlong __pyx_t_5numpy_long_t;
/* "numpy.pxd":745
* ctypedef npy_long int_t
* ctypedef npy_longlong long_t
* ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<<
*
* ctypedef npy_ulong uint_t
*/
typedef npy_longlong __pyx_t_5numpy_longlong_t;
/* "numpy.pxd":747
* ctypedef npy_longlong longlong_t
*
* ctypedef npy_ulong uint_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulong_t
* ctypedef npy_ulonglong ulonglong_t
*/
typedef npy_ulong __pyx_t_5numpy_uint_t;
/* "numpy.pxd":748
*
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
* ctypedef npy_ulonglong ulonglong_t
*
*/
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
/* "numpy.pxd":749
* ctypedef npy_ulong uint_t
* ctypedef npy_ulonglong ulong_t
* ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<<
*
* ctypedef npy_intp intp_t
*/
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
/* "numpy.pxd":751
* ctypedef npy_ulonglong ulonglong_t
*
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
* ctypedef npy_uintp uintp_t
*
*/
typedef npy_intp __pyx_t_5numpy_intp_t;
/* "numpy.pxd":752
*
* ctypedef npy_intp intp_t
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
*
* ctypedef npy_double float_t
*/
typedef npy_uintp __pyx_t_5numpy_uintp_t;
/* "numpy.pxd":754
* ctypedef npy_uintp uintp_t
*
* ctypedef npy_double float_t # <<<<<<<<<<<<<<
* ctypedef npy_double double_t
* ctypedef npy_longdouble longdouble_t
*/
typedef npy_double __pyx_t_5numpy_float_t;
/* "numpy.pxd":755
*
* ctypedef npy_double float_t
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
* ctypedef npy_longdouble longdouble_t
*
*/
typedef npy_double __pyx_t_5numpy_double_t;
/* "numpy.pxd":756
* ctypedef npy_double float_t
* ctypedef npy_double double_t
* ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<<
*
* ctypedef npy_cfloat cfloat_t
*/
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
/* "sklearn/tree/_tree.pyx":17
* # Define a datatype for the data array
* DTYPE = np.float32
* ctypedef np.float32_t DTYPE_t # <<<<<<<<<<<<<<
* ctypedef np.int8_t BOOL_t
*
*/
typedef __pyx_t_5numpy_float32_t __pyx_t_7sklearn_4tree_5_tree_DTYPE_t;
/* "sklearn/tree/_tree.pyx":18
* DTYPE = np.float32
* ctypedef np.float32_t DTYPE_t
* ctypedef np.int8_t BOOL_t # <<<<<<<<<<<<<<
*
* cdef extern from "math.h":
*/
typedef __pyx_t_5numpy_int8_t __pyx_t_7sklearn_4tree_5_tree_BOOL_t;
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
typedef ::std::complex< float > __pyx_t_float_complex;
#else
typedef float _Complex __pyx_t_float_complex;
#endif
#else
typedef struct { float real, imag; } __pyx_t_float_complex;
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
typedef ::std::complex< double > __pyx_t_double_complex;
#else
typedef double _Complex __pyx_t_double_complex;
#endif
#else
typedef struct { double real, imag; } __pyx_t_double_complex;
#endif
/*--- Type declarations ---*/
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion;
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion;
struct __pyx_obj_7sklearn_4tree_5_tree_Gini;
struct __pyx_obj_7sklearn_4tree_5_tree_Entropy;
struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion;
struct __pyx_obj_7sklearn_4tree_5_tree_MSE;
/* "numpy.pxd":758
* ctypedef npy_longdouble longdouble_t
*
* ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<<
* ctypedef npy_cdouble cdouble_t
* ctypedef npy_clongdouble clongdouble_t
*/
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
/* "numpy.pxd":759
*
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
* ctypedef npy_clongdouble clongdouble_t
*
*/
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
/* "numpy.pxd":760
* ctypedef npy_cfloat cfloat_t
* ctypedef npy_cdouble cdouble_t
* ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<<
*
* ctypedef npy_cdouble complex_t
*/
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
/* "numpy.pxd":762
* ctypedef npy_clongdouble clongdouble_t
*
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
*
* cdef inline object PyArray_MultiIterNew1(a):
*/
typedef npy_cdouble __pyx_t_5numpy_complex_t;
/* "sklearn/tree/_tree.pyx":40
* # be the proportion of class k observations in node m
*
* cdef class Criterion: # <<<<<<<<<<<<<<
* """Interface for splitting criteria (regression and classification)"""
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion {
PyObject_HEAD
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *__pyx_vtab;
};
/* "sklearn/tree/_tree.pyx":67
*
*
* cdef class ClassificationCriterion(Criterion): # <<<<<<<<<<<<<<
* """Abstract criterion for classification.
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion {
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion __pyx_base;
int n_classes;
int n_samples;
int *label_count_left;
int *label_count_right;
int *label_count_init;
int n_left;
int n_right;
PyObject *ndarray_label_count_left;
PyObject *ndarray_label_count_right;
PyObject *ndarray_label_count_init;
};
/* "sklearn/tree/_tree.pyx":181
*
*
* cdef class Gini(ClassificationCriterion): # <<<<<<<<<<<<<<
* """Gini Index splitting criteria.
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_Gini {
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
};
/* "sklearn/tree/_tree.pyx":217
*
*
* cdef class Entropy(ClassificationCriterion): # <<<<<<<<<<<<<<
* """Entropy splitting criteria.
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_Entropy {
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
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/* "sklearn/tree/_tree.pyx":245
*
*
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struct __pyx_obj_7sklearn_4tree_5_tree_Criterion __pyx_base;
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int n_right;
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double mean_left;
double mean_right;
double mean_init;
double sq_sum_right;
double sq_sum_left;
double sq_sum_init;
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double var_right;
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/* "sklearn/tree/_tree.pyx":394
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struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion __pyx_base;
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/* "sklearn/tree/_tree.pyx":40
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/* "sklearn/tree/_tree.pyx":245
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/* "sklearn/tree/_tree.pyx":394
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*
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struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion __pyx_base;
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/* "sklearn/tree/_tree.pyx":67
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struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion __pyx_base;
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/* "sklearn/tree/_tree.pyx":181
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*
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struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
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/* "sklearn/tree/_tree.pyx":217
*
*
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struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Entropy {
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
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* cdef double e1, e2
*/
__pyx_v_H_right = 0.0;
/* "sklearn/tree/_tree.pyx":229
* cdef int k
* cdef double e1, e2
* cdef double n_left = <double> self.n_left # <<<<<<<<<<<<<<
* cdef double n_right = <double> self.n_right
*
*/
__pyx_v_n_left = ((double)__pyx_v_self->__pyx_base.n_left);
/* "sklearn/tree/_tree.pyx":230
* cdef double e1, e2
* cdef double n_left = <double> self.n_left
* cdef double n_right = <double> self.n_right # <<<<<<<<<<<<<<
*
* for k from 0 <= k < self.n_classes:
*/
__pyx_v_n_right = ((double)__pyx_v_self->__pyx_base.n_right);
/* "sklearn/tree/_tree.pyx":232
* cdef double n_right = <double> self.n_right
*
* for k from 0 <= k < self.n_classes: # <<<<<<<<<<<<<<
* if self.label_count_left[k] > 0:
* H_left -= ((self.label_count_left[k] / n_left)
*/
__pyx_t_1 = __pyx_v_self->__pyx_base.n_classes;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":233
*
* for k from 0 <= k < self.n_classes:
* if self.label_count_left[k] > 0: # <<<<<<<<<<<<<<
* H_left -= ((self.label_count_left[k] / n_left)
* * log(self.label_count_left[k] / n_left))
*/
__pyx_t_2 = ((__pyx_v_self->__pyx_base.label_count_left[__pyx_v_k]) > 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":235
* if self.label_count_left[k] > 0:
* H_left -= ((self.label_count_left[k] / n_left)
* * log(self.label_count_left[k] / n_left)) # <<<<<<<<<<<<<<
* if self.label_count_right[k] > 0:
* H_right -= ((self.label_count_right[k] / n_right)
*/
__pyx_v_H_left = (__pyx_v_H_left - (((__pyx_v_self->__pyx_base.label_count_left[__pyx_v_k]) / __pyx_v_n_left) * log(((__pyx_v_self->__pyx_base.label_count_left[__pyx_v_k]) / __pyx_v_n_left))));
goto __pyx_L5;
}
__pyx_L5:;
/* "sklearn/tree/_tree.pyx":236
* H_left -= ((self.label_count_left[k] / n_left)
* * log(self.label_count_left[k] / n_left))
* if self.label_count_right[k] > 0: # <<<<<<<<<<<<<<
* H_right -= ((self.label_count_right[k] / n_right)
* * log(self.label_count_right[k] / n_right))
*/
__pyx_t_2 = ((__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]) > 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":238
* if self.label_count_right[k] > 0:
* H_right -= ((self.label_count_right[k] / n_right)
* * log(self.label_count_right[k] / n_right)) # <<<<<<<<<<<<<<
*
* e1 = (n_left / self.n_samples) * H_left
*/
__pyx_v_H_right = (__pyx_v_H_right - (((__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]) / __pyx_v_n_right) * log(((__pyx_v_self->__pyx_base.label_count_right[__pyx_v_k]) / __pyx_v_n_right))));
goto __pyx_L6;
}
__pyx_L6:;
}
/* "sklearn/tree/_tree.pyx":240
* * log(self.label_count_right[k] / n_right))
*
* e1 = (n_left / self.n_samples) * H_left # <<<<<<<<<<<<<<
* e2 = (n_right / self.n_samples) * H_right
* return e1 + e2
*/
__pyx_v_e1 = ((__pyx_v_n_left / __pyx_v_self->__pyx_base.n_samples) * __pyx_v_H_left);
/* "sklearn/tree/_tree.pyx":241
*
* e1 = (n_left / self.n_samples) * H_left
* e2 = (n_right / self.n_samples) * H_right # <<<<<<<<<<<<<<
* return e1 + e2
*
*/
__pyx_v_e2 = ((__pyx_v_n_right / __pyx_v_self->__pyx_base.n_samples) * __pyx_v_H_right);
/* "sklearn/tree/_tree.pyx":242
* e1 = (n_left / self.n_samples) * H_left
* e2 = (n_right / self.n_samples) * H_right
* return e1 + e2 # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = (__pyx_v_e1 + __pyx_v_e2);
goto __pyx_L0;
__pyx_r = 0;
__pyx_L0:;
__Pyx_RefNannyFinishContext();
return __pyx_r;
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/* "sklearn/tree/_tree.pyx":299
* cdef double var_right
*
* def __init__(self): # <<<<<<<<<<<<<<
* self.n_samples = 0
* self.n_left = 0
*/
static int __pyx_pf_7sklearn_4tree_5_tree_19RegressionCriterion___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static int __pyx_pf_7sklearn_4tree_5_tree_19RegressionCriterion___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
int __pyx_r;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__init__");
if (unlikely(PyTuple_GET_SIZE(__pyx_args) > 0)) {
__Pyx_RaiseArgtupleInvalid("__init__", 1, 0, 0, PyTuple_GET_SIZE(__pyx_args)); return -1;}
if (unlikely(__pyx_kwds) && unlikely(PyDict_Size(__pyx_kwds) > 0) && unlikely(!__Pyx_CheckKeywordStrings(__pyx_kwds, "__init__", 0))) return -1;
/* "sklearn/tree/_tree.pyx":300
*
* def __init__(self):
* self.n_samples = 0 # <<<<<<<<<<<<<<
* self.n_left = 0
* self.n_right = 0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->n_samples = 0;
/* "sklearn/tree/_tree.pyx":301
* def __init__(self):
* self.n_samples = 0
* self.n_left = 0 # <<<<<<<<<<<<<<
* self.n_right = 0
* self.mean_left = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->n_left = 0;
/* "sklearn/tree/_tree.pyx":302
* self.n_samples = 0
* self.n_left = 0
* self.n_right = 0 # <<<<<<<<<<<<<<
* self.mean_left = 0.0
* self.mean_right = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->n_right = 0;
/* "sklearn/tree/_tree.pyx":303
* self.n_left = 0
* self.n_right = 0
* self.mean_left = 0.0 # <<<<<<<<<<<<<<
* self.mean_right = 0.0
* self.mean_init = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->mean_left = 0.0;
/* "sklearn/tree/_tree.pyx":304
* self.n_right = 0
* self.mean_left = 0.0
* self.mean_right = 0.0 # <<<<<<<<<<<<<<
* self.mean_init = 0.0
* self.sq_sum_right = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->mean_right = 0.0;
/* "sklearn/tree/_tree.pyx":305
* self.mean_left = 0.0
* self.mean_right = 0.0
* self.mean_init = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_right = 0.0
* self.sq_sum_left = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->mean_init = 0.0;
/* "sklearn/tree/_tree.pyx":306
* self.mean_right = 0.0
* self.mean_init = 0.0
* self.sq_sum_right = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_left = 0.0
* self.sq_sum_init = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->sq_sum_right = 0.0;
/* "sklearn/tree/_tree.pyx":307
* self.mean_init = 0.0
* self.sq_sum_right = 0.0
* self.sq_sum_left = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_init = 0.0
* self.var_left = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->sq_sum_left = 0.0;
/* "sklearn/tree/_tree.pyx":308
* self.sq_sum_right = 0.0
* self.sq_sum_left = 0.0
* self.sq_sum_init = 0.0 # <<<<<<<<<<<<<<
* self.var_left = 0.0
* self.var_right = 0.0
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->sq_sum_init = 0.0;
/* "sklearn/tree/_tree.pyx":309
* self.sq_sum_left = 0.0
* self.sq_sum_init = 0.0
* self.var_left = 0.0 # <<<<<<<<<<<<<<
* self.var_right = 0.0
*
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->var_left = 0.0;
/* "sklearn/tree/_tree.pyx":310
* self.sq_sum_init = 0.0
* self.var_left = 0.0
* self.var_right = 0.0 # <<<<<<<<<<<<<<
*
* cdef void init(self, DTYPE_t *y, BOOL_t *sample_mask, int n_samples,
*/
((struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self)->var_right = 0.0;
__pyx_r = 0;
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "sklearn/tree/_tree.pyx":312
* self.var_right = 0.0
*
* cdef void init(self, DTYPE_t *y, BOOL_t *sample_mask, int n_samples, # <<<<<<<<<<<<<<
* int n_total_samples):
* """Initialise the criterion class; assume all samples
*/
static void __pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_init(struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_v_self, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *__pyx_v_y, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *__pyx_v_sample_mask, int __pyx_v_n_samples, int __pyx_v_n_total_samples) {
int __pyx_v_j;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
__Pyx_RefNannySetupContext("init");
/* "sklearn/tree/_tree.pyx":317
* are in the right branch and store the mean and squared
* sum in `self.mean_init` and `self.sq_sum_init`. """
* self.mean_left = 0.0 # <<<<<<<<<<<<<<
* self.mean_right = 0.0
* self.mean_init = 0.0
*/
__pyx_v_self->mean_left = 0.0;
/* "sklearn/tree/_tree.pyx":318
* sum in `self.mean_init` and `self.sq_sum_init`. """
* self.mean_left = 0.0
* self.mean_right = 0.0 # <<<<<<<<<<<<<<
* self.mean_init = 0.0
* self.sq_sum_right = 0.0
*/
__pyx_v_self->mean_right = 0.0;
/* "sklearn/tree/_tree.pyx":319
* self.mean_left = 0.0
* self.mean_right = 0.0
* self.mean_init = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_right = 0.0
* self.sq_sum_left = 0.0
*/
__pyx_v_self->mean_init = 0.0;
/* "sklearn/tree/_tree.pyx":320
* self.mean_right = 0.0
* self.mean_init = 0.0
* self.sq_sum_right = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_left = 0.0
* self.sq_sum_init = 0.0
*/
__pyx_v_self->sq_sum_right = 0.0;
/* "sklearn/tree/_tree.pyx":321
* self.mean_init = 0.0
* self.sq_sum_right = 0.0
* self.sq_sum_left = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_init = 0.0
* self.var_left = 0.0
*/
__pyx_v_self->sq_sum_left = 0.0;
/* "sklearn/tree/_tree.pyx":322
* self.sq_sum_right = 0.0
* self.sq_sum_left = 0.0
* self.sq_sum_init = 0.0 # <<<<<<<<<<<<<<
* self.var_left = 0.0
* self.var_right = 0.0
*/
__pyx_v_self->sq_sum_init = 0.0;
/* "sklearn/tree/_tree.pyx":323
* self.sq_sum_left = 0.0
* self.sq_sum_init = 0.0
* self.var_left = 0.0 # <<<<<<<<<<<<<<
* self.var_right = 0.0
* self.n_samples = n_samples
*/
__pyx_v_self->var_left = 0.0;
/* "sklearn/tree/_tree.pyx":324
* self.sq_sum_init = 0.0
* self.var_left = 0.0
* self.var_right = 0.0 # <<<<<<<<<<<<<<
* self.n_samples = n_samples
*
*/
__pyx_v_self->var_right = 0.0;
/* "sklearn/tree/_tree.pyx":325
* self.var_left = 0.0
* self.var_right = 0.0
* self.n_samples = n_samples # <<<<<<<<<<<<<<
*
* cdef int j = 0
*/
__pyx_v_self->n_samples = __pyx_v_n_samples;
/* "sklearn/tree/_tree.pyx":327
* self.n_samples = n_samples
*
* cdef int j = 0 # <<<<<<<<<<<<<<
* for j from 0 <= j < n_total_samples:
* if sample_mask[j] == 0:
*/
__pyx_v_j = 0;
/* "sklearn/tree/_tree.pyx":328
*
* cdef int j = 0
* for j from 0 <= j < n_total_samples: # <<<<<<<<<<<<<<
* if sample_mask[j] == 0:
* continue
*/
__pyx_t_1 = __pyx_v_n_total_samples;
for (__pyx_v_j = 0; __pyx_v_j < __pyx_t_1; __pyx_v_j++) {
/* "sklearn/tree/_tree.pyx":329
* cdef int j = 0
* for j from 0 <= j < n_total_samples:
* if sample_mask[j] == 0: # <<<<<<<<<<<<<<
* continue
* self.sq_sum_init += (y[j] * y[j])
*/
__pyx_t_2 = ((__pyx_v_sample_mask[__pyx_v_j]) == 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":330
* for j from 0 <= j < n_total_samples:
* if sample_mask[j] == 0:
* continue # <<<<<<<<<<<<<<
* self.sq_sum_init += (y[j] * y[j])
* self.mean_init += y[j]
*/
goto __pyx_L3_continue;
goto __pyx_L5;
}
__pyx_L5:;
/* "sklearn/tree/_tree.pyx":331
* if sample_mask[j] == 0:
* continue
* self.sq_sum_init += (y[j] * y[j]) # <<<<<<<<<<<<<<
* self.mean_init += y[j]
*
*/
__pyx_v_self->sq_sum_init = (__pyx_v_self->sq_sum_init + ((__pyx_v_y[__pyx_v_j]) * (__pyx_v_y[__pyx_v_j])));
/* "sklearn/tree/_tree.pyx":332
* continue
* self.sq_sum_init += (y[j] * y[j])
* self.mean_init += y[j] # <<<<<<<<<<<<<<
*
* self.mean_init = self.mean_init / self.n_samples
*/
__pyx_v_self->mean_init = (__pyx_v_self->mean_init + (__pyx_v_y[__pyx_v_j]));
__pyx_L3_continue:;
}
/* "sklearn/tree/_tree.pyx":334
* self.mean_init += y[j]
*
* self.mean_init = self.mean_init / self.n_samples # <<<<<<<<<<<<<<
*
* self.reset()
*/
__pyx_v_self->mean_init = (__pyx_v_self->mean_init / __pyx_v_self->n_samples);
/* "sklearn/tree/_tree.pyx":336
* self.mean_init = self.mean_init / self.n_samples
*
* self.reset() # <<<<<<<<<<<<<<
*
* cdef void reset(self):
*/
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion *)__pyx_v_self->__pyx_base.__pyx_vtab)->__pyx_base.reset(((struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *)__pyx_v_self));
__Pyx_RefNannyFinishContext();
}
/* "sklearn/tree/_tree.pyx":338
* self.reset()
*
* cdef void reset(self): # <<<<<<<<<<<<<<
* """Reset criterion for new feature.
*
*/
static void __pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_reset(struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_v_self) {
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("reset");
/* "sklearn/tree/_tree.pyx":345
* right branch.
* """
* self.n_right = self.n_samples # <<<<<<<<<<<<<<
* self.n_left = 0
* self.mean_right = self.mean_init
*/
__pyx_v_self->n_right = __pyx_v_self->n_samples;
/* "sklearn/tree/_tree.pyx":346
* """
* self.n_right = self.n_samples
* self.n_left = 0 # <<<<<<<<<<<<<<
* self.mean_right = self.mean_init
* self.mean_left = 0.0
*/
__pyx_v_self->n_left = 0;
/* "sklearn/tree/_tree.pyx":347
* self.n_right = self.n_samples
* self.n_left = 0
* self.mean_right = self.mean_init # <<<<<<<<<<<<<<
* self.mean_left = 0.0
* self.sq_sum_right = self.sq_sum_init
*/
__pyx_v_self->mean_right = __pyx_v_self->mean_init;
/* "sklearn/tree/_tree.pyx":348
* self.n_left = 0
* self.mean_right = self.mean_init
* self.mean_left = 0.0 # <<<<<<<<<<<<<<
* self.sq_sum_right = self.sq_sum_init
* self.sq_sum_left = 0.0
*/
__pyx_v_self->mean_left = 0.0;
/* "sklearn/tree/_tree.pyx":349
* self.mean_right = self.mean_init
* self.mean_left = 0.0
* self.sq_sum_right = self.sq_sum_init # <<<<<<<<<<<<<<
* self.sq_sum_left = 0.0
* self.var_left = 0.0
*/
__pyx_v_self->sq_sum_right = __pyx_v_self->sq_sum_init;
/* "sklearn/tree/_tree.pyx":350
* self.mean_left = 0.0
* self.sq_sum_right = self.sq_sum_init
* self.sq_sum_left = 0.0 # <<<<<<<<<<<<<<
* self.var_left = 0.0
* self.var_right = self.sq_sum_right - \
*/
__pyx_v_self->sq_sum_left = 0.0;
/* "sklearn/tree/_tree.pyx":351
* self.sq_sum_right = self.sq_sum_init
* self.sq_sum_left = 0.0
* self.var_left = 0.0 # <<<<<<<<<<<<<<
* self.var_right = self.sq_sum_right - \
* self.n_samples * (self.mean_right * self.mean_right)
*/
__pyx_v_self->var_left = 0.0;
/* "sklearn/tree/_tree.pyx":352
* self.sq_sum_left = 0.0
* self.var_left = 0.0
* self.var_right = self.sq_sum_right - \ # <<<<<<<<<<<<<<
* self.n_samples * (self.mean_right * self.mean_right)
*
*/
__pyx_v_self->var_right = (__pyx_v_self->sq_sum_right - (__pyx_v_self->n_samples * (__pyx_v_self->mean_right * __pyx_v_self->mean_right)));
__Pyx_RefNannyFinishContext();
}
/* "sklearn/tree/_tree.pyx":355
* self.n_samples * (self.mean_right * self.mean_right)
*
* cdef int update(self, int a, int b, DTYPE_t *y, int *X_argsorted_i, # <<<<<<<<<<<<<<
* BOOL_t *sample_mask):
* """Update the criteria for each value in interval [a,b) (where a and b
*/
static int __pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_update(struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_v_self, int __pyx_v_a, int __pyx_v_b, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *__pyx_v_y, int *__pyx_v_X_argsorted_i, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *__pyx_v_sample_mask) {
double __pyx_v_y_idx;
int __pyx_v_idx;
int __pyx_v_j;
int __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
__Pyx_RefNannySetupContext("update");
/* "sklearn/tree/_tree.pyx":359
* """Update the criteria for each value in interval [a,b) (where a and b
* are indices in `X_argsorted_i`)."""
* cdef double y_idx = 0.0 # <<<<<<<<<<<<<<
* cdef int idx, j
* # post condition: all samples from [0:b) are on the left side
*/
__pyx_v_y_idx = 0.0;
/* "sklearn/tree/_tree.pyx":362
* cdef int idx, j
* # post condition: all samples from [0:b) are on the left side
* for idx from a <= idx < b: # <<<<<<<<<<<<<<
* j = X_argsorted_i[idx]
* if sample_mask[j] == 0:
*/
__pyx_t_1 = __pyx_v_b;
for (__pyx_v_idx = __pyx_v_a; __pyx_v_idx < __pyx_t_1; __pyx_v_idx++) {
/* "sklearn/tree/_tree.pyx":363
* # post condition: all samples from [0:b) are on the left side
* for idx from a <= idx < b:
* j = X_argsorted_i[idx] # <<<<<<<<<<<<<<
* if sample_mask[j] == 0:
* continue
*/
__pyx_v_j = (__pyx_v_X_argsorted_i[__pyx_v_idx]);
/* "sklearn/tree/_tree.pyx":364
* for idx from a <= idx < b:
* j = X_argsorted_i[idx]
* if sample_mask[j] == 0: # <<<<<<<<<<<<<<
* continue
* y_idx = y[j]
*/
__pyx_t_2 = ((__pyx_v_sample_mask[__pyx_v_j]) == 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":365
* j = X_argsorted_i[idx]
* if sample_mask[j] == 0:
* continue # <<<<<<<<<<<<<<
* y_idx = y[j]
* self.sq_sum_left = self.sq_sum_left + (y_idx * y_idx)
*/
goto __pyx_L3_continue;
goto __pyx_L5;
}
__pyx_L5:;
/* "sklearn/tree/_tree.pyx":366
* if sample_mask[j] == 0:
* continue
* y_idx = y[j] # <<<<<<<<<<<<<<
* self.sq_sum_left = self.sq_sum_left + (y_idx * y_idx)
* self.sq_sum_right = self.sq_sum_right - (y_idx * y_idx)
*/
__pyx_v_y_idx = (__pyx_v_y[__pyx_v_j]);
/* "sklearn/tree/_tree.pyx":367
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/* "sklearn/tree/_tree.pyx":659
*
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*
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*
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*/
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/* "sklearn/tree/_tree.pyx":670
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/* "sklearn/tree/_tree.pyx":671
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goto __pyx_L13_break;
goto __pyx_L14;
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__pyx_L14:;
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*
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/* "sklearn/tree/_tree.pyx":678
*
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/* "sklearn/tree/_tree.pyx":679
* # Only consider splits that respect min_leaf
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/* "sklearn/tree/_tree.pyx":680
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*/
goto __pyx_L12_continue;
goto __pyx_L15;
}
__pyx_L15:;
/* "sklearn/tree/_tree.pyx":682
* continue
*
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*
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*/
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* error = criterion.eval()
*
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* t = X_i[X_argsorted_i[a]] + \
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/* "sklearn/tree/_tree.pyx":686
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/* "sklearn/tree/_tree.pyx":687
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/* "numpy.pxd":205
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/* "numpy.pxd":210
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} else {
__pyx_t_3 = __pyx_t_1;
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if (__pyx_t_3) {
/* "numpy.pxd":211
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__Pyx_GOTREF(__pyx_t_4);
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 211; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L7;
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__pyx_L7:;
/* "numpy.pxd":213
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/* "numpy.pxd":214
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__pyx_t_2 = __pyx_t_3;
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if (__pyx_t_2) {
/* "numpy.pxd":215
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__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_4), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L8;
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__pyx_L8:;
/* "numpy.pxd":217
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/* "numpy.pxd":218
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/* "numpy.pxd":219
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/* "numpy.pxd":222
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*/
__pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2)));
/* "numpy.pxd":223
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/* "numpy.pxd":224
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for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
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/* "numpy.pxd":225
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/* "numpy.pxd":226
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goto __pyx_L9;
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/* "numpy.pxd":228
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/* "numpy.pxd":229
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__pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(((PyArrayObject *)__pyx_v_self)));
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__pyx_L9:;
/* "numpy.pxd":230
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/* "numpy.pxd":231
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/* "numpy.pxd":232
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*
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__pyx_v_info->readonly = (!PyArray_ISWRITEABLE(((PyArrayObject *)__pyx_v_self)));
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/* "numpy.pxd":236
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__Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_v_self)->descr));
__pyx_v_descr = ((PyArrayObject *)__pyx_v_self)->descr;
/* "numpy.pxd":240
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/* "numpy.pxd":242
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*/
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__pyx_t_3 = (!__pyx_v_copy_shape);
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} else {
__pyx_t_1 = __pyx_t_2;
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if (__pyx_t_1) {
/* "numpy.pxd":244
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__Pyx_INCREF(Py_None);
__Pyx_GIVEREF(Py_None);
__Pyx_GOTREF(__pyx_v_info->obj);
__Pyx_DECREF(__pyx_v_info->obj);
__pyx_v_info->obj = Py_None;
goto __pyx_L12;
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/*else*/ {
/* "numpy.pxd":247
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__Pyx_INCREF(__pyx_v_self);
__Pyx_GIVEREF(__pyx_v_self);
__Pyx_GOTREF(__pyx_v_info->obj);
__Pyx_DECREF(__pyx_v_info->obj);
__pyx_v_info->obj = __pyx_v_self;
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__pyx_L12:;
/* "numpy.pxd":249
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__pyx_t_1 = (!__pyx_v_hasfields);
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/* "numpy.pxd":250
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/* "numpy.pxd":251
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if (!__pyx_t_2) {
/* "numpy.pxd":252
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__pyx_t_1 = __pyx_t_2;
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/* "numpy.pxd":253
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__pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_6), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_GOTREF(__pyx_t_4);
__Pyx_Raise(__pyx_t_4, 0, 0, 0);
__Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
{__pyx_filename = __pyx_f[1]; __pyx_lineno = 253; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L14;
}
__pyx_L14:;
/* "numpy.pxd":254
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__pyx_t_1 = (__pyx_v_t == NPY_BYTE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__b;
goto __pyx_L15;
}
/* "numpy.pxd":255
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*/
__pyx_t_1 = (__pyx_v_t == NPY_UBYTE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__B;
goto __pyx_L15;
}
/* "numpy.pxd":256
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__pyx_t_1 = (__pyx_v_t == NPY_SHORT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__h;
goto __pyx_L15;
}
/* "numpy.pxd":257
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*/
__pyx_t_1 = (__pyx_v_t == NPY_USHORT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__H;
goto __pyx_L15;
}
/* "numpy.pxd":258
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* elif t == NPY_USHORT: f = "H"
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*/
__pyx_t_1 = (__pyx_v_t == NPY_INT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__i;
goto __pyx_L15;
}
/* "numpy.pxd":259
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* elif t == NPY_INT: f = "i"
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*/
__pyx_t_1 = (__pyx_v_t == NPY_UINT);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__I;
goto __pyx_L15;
}
/* "numpy.pxd":260
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* elif t == NPY_ULONG: f = "L"
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*/
__pyx_t_1 = (__pyx_v_t == NPY_LONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__l;
goto __pyx_L15;
}
/* "numpy.pxd":261
* elif t == NPY_UINT: f = "I"
* elif t == NPY_LONG: f = "l"
* elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<<
* elif t == NPY_LONGLONG: f = "q"
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*/
__pyx_t_1 = (__pyx_v_t == NPY_ULONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__L;
goto __pyx_L15;
}
/* "numpy.pxd":262
* elif t == NPY_LONG: f = "l"
* elif t == NPY_ULONG: f = "L"
* elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<<
* elif t == NPY_ULONGLONG: f = "Q"
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*/
__pyx_t_1 = (__pyx_v_t == NPY_LONGLONG);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__q;
goto __pyx_L15;
}
/* "numpy.pxd":263
* 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_L15;
}
/* "numpy.pxd":264
* 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_L15;
}
/* "numpy.pxd":265
* 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_L15;
}
/* "numpy.pxd":266
* 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_L15;
}
/* "numpy.pxd":267
* 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_L15;
}
/* "numpy.pxd":268
* 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_L15;
}
/* "numpy.pxd":269
* elif t == NPY_CFLOAT: f = "Zf"
* elif t == NPY_CDOUBLE: f = "Zd"
* elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<<
* elif t == NPY_OBJECT: f = "O"
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*/
__pyx_t_1 = (__pyx_v_t == NPY_CLONGDOUBLE);
if (__pyx_t_1) {
__pyx_v_f = __pyx_k__Zg;
goto __pyx_L15;
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static PyTypeObject __pyx_type_7sklearn_4tree_5_tree_Criterion = {
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static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_ClassificationCriterion(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *p;
PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_Criterion(t, a, k);
if (!o) return 0;
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p->ndarray_label_count_right = Py_None; Py_INCREF(Py_None);
p->ndarray_label_count_init = Py_None; Py_INCREF(Py_None);
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}
static void __pyx_tp_dealloc_7sklearn_4tree_5_tree_ClassificationCriterion(PyObject *o) {
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *p = (struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)o;
Py_XDECREF(p->ndarray_label_count_left);
Py_XDECREF(p->ndarray_label_count_right);
Py_XDECREF(p->ndarray_label_count_init);
__pyx_tp_dealloc_7sklearn_4tree_5_tree_Criterion(o);
}
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int e;
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *p = (struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)o;
if (__pyx_ptype_7sklearn_4tree_5_tree_Criterion->tp_traverse) {
e = __pyx_ptype_7sklearn_4tree_5_tree_Criterion->tp_traverse(o, v, a); if (e) return e;
}
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}
return 0;
}
static int __pyx_tp_clear_7sklearn_4tree_5_tree_ClassificationCriterion(PyObject *o) {
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *p = (struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion *)o;
PyObject* tmp;
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__pyx_ptype_7sklearn_4tree_5_tree_Criterion->tp_clear(o);
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Py_XDECREF(tmp);
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p->ndarray_label_count_init = Py_None; Py_INCREF(Py_None);
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static PyTypeObject __pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion = {
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static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Gini __pyx_vtable_7sklearn_4tree_5_tree_Gini;
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_Gini(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_obj_7sklearn_4tree_5_tree_Gini *p;
PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_ClassificationCriterion(t, a, k);
if (!o) return 0;
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struct __pyx_obj_7sklearn_4tree_5_tree_Entropy *p;
PyObject *o = __pyx_tp_new_7sklearn_4tree_5_tree_ClassificationCriterion(t, a, k);
if (!o) return 0;
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switch (ch) {
case '?': case 'c': case 'b': case 'B': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c': case 'b': case 'h': case 'i': case 'l': case 'q': return 'I';
case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U';
case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R');
case 'O': return 'O';
case 'P': return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset;
if (ctx->enc_type == 0) return 0;
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
/* special case -- treat as struct rather than complex number */
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %"PY_FORMAT_SIZE_T"d but %"PY_FORMAT_SIZE_T"d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
--ctx->enc_count; /* Consume from buffer string */
/* Done checking, move to next field, pushing or popping struct stack if needed */
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break; /* breaks both loops as ctx->enc_count == 0 */
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue; /* empty struct */
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case 10:
case 13:
++ts;
break;
case '<':
if (!__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_IsLittleEndian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T': /* substruct */
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
}
break;
case '}': /* end of substruct; either repeat or move on */
++ts;
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
} /* fall through */
case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
/* Continue pooling same type */
ctx->enc_count += ctx->new_count;
} else {
/* New type */
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
}
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
default:
{
int number = __Pyx_BufFmt_ParseNumber(&ts);
if (number == -1) { /* First char was not a digit */
PyErr_Format(PyExc_ValueError,
"Does not understand character buffer dtype format string ('%c')", *ts);
return NULL;
}
ctx->new_count = (size_t)number;
}
}
}
}
static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) {
buf->buf = NULL;
buf->obj = NULL;
buf->strides = __Pyx_zeros;
buf->shape = __Pyx_zeros;
buf->suboffsets = __Pyx_minusones;
}
static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) {
if (obj == Py_None || obj == NULL) {
__Pyx_ZeroBuffer(buf);
return 0;
}
buf->buf = NULL;
if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail;
if (buf->ndim != nd) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
nd, buf->ndim);
goto fail;
}
if (!cast) {
__Pyx_BufFmt_Context ctx;
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned)buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%"PY_FORMAT_SIZE_T"d byte%s) does not match size of '%s' (%"PY_FORMAT_SIZE_T"d byte%s)",
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
return 0;
fail:;
__Pyx_ZeroBuffer(buf);
return -1;
}
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
if (info->buf == NULL) return;
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
__Pyx_ReleaseBuffer(info);
}
static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyThreadState *tstate = PyThreadState_GET();
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
PyThreadState *tstate = PyThreadState_GET();
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
static CYTHON_INLINE int __Pyx_CheckKeywordStrings(
PyObject *kwdict,
const char* function_name,
int kw_allowed)
{
PyObject* key = 0;
Py_ssize_t pos = 0;
while (PyDict_Next(kwdict, &pos, &key, 0)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyString_CheckExact(key)) && unlikely(!PyString_Check(key)))
#else
if (unlikely(!PyUnicode_CheckExact(key)) && unlikely(!PyUnicode_Check(key)))
#endif
goto invalid_keyword_type;
}
if ((!kw_allowed) && unlikely(key))
goto invalid_keyword;
return 1;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%s() keywords must be strings", function_name);
return 0;
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
return 0;
}
static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed,
const char *name, int exact)
{
if (!type) {
PyErr_Format(PyExc_SystemError, "Missing type object");
return 0;
}
if (none_allowed && obj == Py_None) return 1;
else if (exact) {
if (Py_TYPE(obj) == type) return 1;
}
else {
if (PyObject_TypeCheck(obj, type)) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%s' has incorrect type (expected %s, got %s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
/* cause is unused */
Py_XINCREF(type);
Py_XINCREF(value);
Py_XINCREF(tb);
/* First, check the traceback argument, replacing None with NULL. */
if (tb == Py_None) {
Py_DECREF(tb);
tb = 0;
}
else if (tb != NULL && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
/* Next, replace a missing value with None */
if (value == NULL) {
value = Py_None;
Py_INCREF(value);
}
#if PY_VERSION_HEX < 0x02050000
if (!PyClass_Check(type))
#else
if (!PyType_Check(type))
#endif
{
/* Raising an instance. The value should be a dummy. */
if (value != Py_None) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
/* Normalize to raise <class>, <instance> */
Py_DECREF(value);
value = type;
#if PY_VERSION_HEX < 0x02050000
if (PyInstance_Check(type)) {
type = (PyObject*) ((PyInstanceObject*)type)->in_class;
Py_INCREF(type);
}
else {
type = 0;
PyErr_SetString(PyExc_TypeError,
"raise: exception must be an old-style class or instance");
goto raise_error;
}
#else
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
#endif
}
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else /* Python 3+ */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (!PyExceptionClass_Check(type)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
}
else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
}
else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
if (!value) {
value = PyObject_CallObject(type, NULL);
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
PyThreadState *tstate = PyThreadState_GET();
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
}
bad:
return;
}
#endif
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %"PY_FORMAT_SIZE_T"d value%s to unpack",
index, (index == 1) ? "" : "s");
}
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %"PY_FORMAT_SIZE_T"d)", expected);
}
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
if (t == Py_None) {
__Pyx_RaiseNoneNotIterableError();
} else if (PyTuple_GET_SIZE(t) < index) {
__Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
} else {
__Pyx_RaiseTooManyValuesError(index);
}
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
#if PY_VERSION_HEX >= 0x02060000
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
#endif
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pf_5numpy_7ndarray___getbuffer__(obj, view, flags);
else {
PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject* obj = view->obj;
if (obj) {
#if PY_VERSION_HEX >= 0x02060000
if (PyObject_CheckBuffer(obj)) {PyBuffer_Release(view); return;}
#endif
if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pf_5numpy_7ndarray_1__releasebuffer__(obj, view);
Py_DECREF(obj);
view->obj = NULL;
}
}
#endif
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, long level) {
PyObject *py_import = 0;
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
py_import = __Pyx_GetAttrString(__pyx_b, "__import__");
if (!py_import)
goto bad;
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
#if PY_VERSION_HEX >= 0x02050000
{
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, NULL);
Py_DECREF(py_level);
}
#else
if (level>0) {
PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4.");
goto bad;
}
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, NULL);
#endif
bad:
Py_XDECREF(empty_list);
Py_XDECREF(py_import);
Py_XDECREF(empty_dict);
return module;
}
#if 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;
}
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0)
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItemString(dict, "__pyx_vtable__", ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
size_t size, int strict)
{
PyObject *py_module = 0;
PyObject *result = 0;
PyObject *py_name = 0;
char warning[200];
py_module = __Pyx_ImportModule(module_name);
if (!py_module)
goto bad;
#if PY_MAJOR_VERSION < 3
py_name = PyString_FromString(class_name);
#else
py_name = PyUnicode_FromString(class_name);
#endif
if (!py_name)
goto bad;
result = PyObject_GetAttr(py_module, py_name);
Py_DECREF(py_name);
py_name = 0;
Py_DECREF(py_module);
py_module = 0;
if (!result)
goto bad;
if (!PyType_Check(result)) {
PyErr_Format(PyExc_TypeError,
"%s.%s is not a type object",
module_name, class_name);
goto bad;
}
if (!strict && ((PyTypeObject *)result)->tp_basicsize > (Py_ssize_t)size) {
PyOS_snprintf(warning, sizeof(warning),
"%s.%s size changed, may indicate binary incompatibility",
module_name, class_name);
#if PY_VERSION_HEX < 0x02050000
if (PyErr_Warn(NULL, warning) < 0) goto bad;
#else
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
#endif
}
else if (((PyTypeObject *)result)->tp_basicsize != (Py_ssize_t)size) {
PyErr_Format(PyExc_ValueError,
"%s.%s has the wrong size, try recompiling",
module_name, class_name);
goto bad;
}
return (PyTypeObject *)result;
bad:
Py_XDECREF(py_module);
Py_XDECREF(result);
return NULL;
}
#endif
#ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
PyObject *py_name = 0;
PyObject *py_module = 0;
#if PY_MAJOR_VERSION < 3
py_name = PyString_FromString(name);
#else
py_name = PyUnicode_FromString(name);
#endif
if (!py_name)
goto bad;
py_module = PyImport_Import(py_name);
Py_DECREF(py_name);
return py_module;
bad:
Py_XDECREF(py_name);
return 0;
}
#endif
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static void __Pyx_AddTraceback(const char *funcname, int __pyx_clineno,
int __pyx_lineno, const char *__pyx_filename) {
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
PyObject *py_globals = 0;
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(__pyx_filename);
#else
py_srcfile = PyUnicode_FromString(__pyx_filename);
#endif
if (!py_srcfile) goto bad;
if (__pyx_clineno) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, __pyx_clineno);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_globals = PyModule_GetDict(__pyx_m);
if (!py_globals) goto bad;
py_code = PyCode_New(
0, /*int argcount,*/
#if PY_MAJOR_VERSION >= 3
0, /*int kwonlyargcount,*/
#endif
0, /*int nlocals,*/
0, /*int stacksize,*/
0, /*int flags,*/
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
__pyx_lineno, /*int firstlineno,*/
__pyx_empty_bytes /*PyObject *lnotab*/
);
if (!py_code) goto bad;
py_frame = PyFrame_New(
PyThreadState_GET(), /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
py_globals, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
py_frame->f_lineno = __pyx_lineno;
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else /* Python 3+ has unicode identifiers */
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
++t;
}
return 0;
}
/* Type Conversion Functions */
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) {
PyNumberMethods *m;
const char *name = NULL;
PyObject *res = NULL;
#if PY_VERSION_HEX < 0x03000000
if (PyInt_Check(x) || PyLong_Check(x))
#else
if (PyLong_Check(x))
#endif
return Py_INCREF(x), x;
m = Py_TYPE(x)->tp_as_number;
#if PY_VERSION_HEX < 0x03000000
if (m && m->nb_int) {
name = "int";
res = PyNumber_Int(x);
}
else if (m && m->nb_long) {
name = "long";
res = PyNumber_Long(x);
}
#else
if (m && m->nb_int) {
name = "int";
res = PyNumber_Long(x);
}
#endif
if (res) {
#if PY_VERSION_HEX < 0x03000000
if (!PyInt_Check(res) && !PyLong_Check(res)) {
#else
if (!PyLong_Check(res)) {
#endif
PyErr_Format(PyExc_TypeError,
"__%s__ returned non-%s (type %.200s)",
name, name, Py_TYPE(res)->tp_name);
Py_DECREF(res);
return NULL;
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject* x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
#if PY_VERSION_HEX < 0x02050000
if (ival <= LONG_MAX)
return PyInt_FromLong((long)ival);
else {
unsigned char *bytes = (unsigned char *) &ival;
int one = 1; int little = (int)*(unsigned char*)&one;
return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0);
}
#else
return PyInt_FromSize_t(ival);
#endif
}
static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) {
unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x);
if (unlikely(val == (unsigned PY_LONG_LONG)-1 && PyErr_Occurred())) {
return (size_t)-1;
} else if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) {
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to size_t");
return (size_t)-1;
}
return (size_t)val;
}
#endif /* Py_PYTHON_H */