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/* Generated by Cython 0.17.1 on Sat Jan 5 21:47:36 2013 */
#define PY_SSIZE_T_CLEAN
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(likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \
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#define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n))
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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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 "pythread.h"
#include "string.h"
#include "math.h"
#include "float.h"
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/* inline attribute */
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#define CYTHON_INLINE __inline__
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#define CYTHON_INLINE
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/* unused attribute */
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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*/
/* Type Conversion Predeclarations */
#define __Pyx_PyBytes_FromUString(s) PyBytes_FromString((char*)s)
#define __Pyx_PyBytes_AsUString(s) ((unsigned char*) PyBytes_AsString(s))
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#define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False))
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))
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#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
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#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#ifdef __GNUC__
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#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
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#define likely(x) (x)
#define unlikely(x) (x)
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#define unlikely(x) (x)
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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
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#define CYTHON_CCOMPLEX 0
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#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#include <complex>
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#include <complex.h>
#endif
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#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
#undef _Complex_I
#define _Complex_I 1.0fj
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static const char *__pyx_f[] = {
"_tree.pyx",
"_tree.pxd",
"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;
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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/tree/_tree.pxd":9
* from cpython cimport bool
*
* ctypedef np.float32_t DTYPE_t # <<<<<<<<<<<<<<
* ctypedef np.float64_t DOUBLE_t
* ctypedef np.int8_t BOOL_t
*/
typedef __pyx_t_5numpy_float32_t __pyx_t_7sklearn_4tree_5_tree_DTYPE_t;
/* "sklearn/tree/_tree.pxd":10
*
* ctypedef np.float32_t DTYPE_t
* ctypedef np.float64_t DOUBLE_t # <<<<<<<<<<<<<<
* ctypedef np.int8_t BOOL_t
*
*/
typedef __pyx_t_5numpy_float64_t __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t;
/* "sklearn/tree/_tree.pxd":11
* ctypedef np.float32_t DTYPE_t
* ctypedef np.float64_t DOUBLE_t
* ctypedef np.int8_t BOOL_t # <<<<<<<<<<<<<<
*
*
*/
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_Tree;
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":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;
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_resize;
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_build;
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances;
/* "sklearn/tree/_tree.pxd":88
*
* # Methods
* cdef void resize(self, int capacity=*) # <<<<<<<<<<<<<<
*
* cpdef build(self, np.ndarray X, np.ndarray y,
*/
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_resize {
int __pyx_n;
int capacity;
};
/* "sklearn/tree/_tree.pxd":90
* cdef void resize(self, int capacity=*)
*
* cpdef build(self, np.ndarray X, np.ndarray y, # <<<<<<<<<<<<<<
* np.ndarray sample_mask=*,
* np.ndarray X_argsorted=*,
*/
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_build {
int __pyx_n;
PyArrayObject *sample_mask;
PyArrayObject *X_argsorted;
PyArrayObject *sample_weight;
};
/* "sklearn/tree/_tree.pxd":155
* cpdef apply(self, np.ndarray[DTYPE_t, ndim=2] X)
*
* cpdef compute_feature_importances(self, method=*) # <<<<<<<<<<<<<<
*
* cdef inline double _compute_feature_importances_gini(self, int node)
*/
struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances {
int __pyx_n;
PyObject *method;
};
/* "sklearn/tree/_tree.pxd":54
* # =============================================================================
*
* cdef class Tree: # <<<<<<<<<<<<<<
* # Input/Output layout
* cdef public int n_features
*/
struct __pyx_obj_7sklearn_4tree_5_tree_Tree {
PyObject_HEAD
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *__pyx_vtab;
int n_features;
int *n_classes;
int n_outputs;
int max_n_classes;
int value_stride;
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *criterion;
double max_depth;
int min_samples_split;
int min_samples_leaf;
double min_density;
int max_features;
int find_split_algorithm;
PyObject *random_state;
int node_count;
int capacity;
int *children_left;
int *children_right;
int *feature;
double *threshold;
double *value;
double *best_error;
double *init_error;
int *n_samples;
PyArrayObject *features;
};
/* "sklearn/tree/_tree.pxd":18
* # =============================================================================
*
* cdef class Criterion: # <<<<<<<<<<<<<<
* cdef int n_outputs
* cdef int n_samples
*/
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion {
PyObject_HEAD
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *__pyx_vtab;
int n_outputs;
int n_samples;
double weighted_n_samples;
int n_left;
int n_right;
double weighted_n_left;
double weighted_n_right;
};
/* "sklearn/tree/_tree.pyx":1103
*
*
* 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 label_count_stride;
double *label_count_left;
double *label_count_right;
double *label_count_init;
};
/* "sklearn/tree/_tree.pyx":1358
*
*
* 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":1421
*
*
* cdef class Entropy(ClassificationCriterion): # <<<<<<<<<<<<<<
* """Cross Entropy splitting criteria.
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_Entropy {
struct __pyx_obj_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
};
/* "sklearn/tree/_tree.pyx":1472
*
*
* cdef class RegressionCriterion(Criterion): # <<<<<<<<<<<<<<
* """Abstract criterion for regression.
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion {
struct __pyx_obj_7sklearn_4tree_5_tree_Criterion __pyx_base;
double *mean_left;
double *mean_right;
double *mean_init;
double *sq_sum_left;
double *sq_sum_right;
double *sq_sum_init;
double *var_left;
double *var_right;
};
/* "sklearn/tree/_tree.pyx":1772
*
*
* cdef class MSE(RegressionCriterion): # <<<<<<<<<<<<<<
* """Mean squared error impurity criterion.
*
*/
struct __pyx_obj_7sklearn_4tree_5_tree_MSE {
struct __pyx_obj_7sklearn_4tree_5_tree_RegressionCriterion __pyx_base;
};
/* "sklearn/tree/_tree.pyx":74
* # =============================================================================
*
* cdef class Tree: # <<<<<<<<<<<<<<
* """Struct-of-arrays representation of a binary decision tree.
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree {
void (*resize)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_resize *__pyx_optional_args);
PyObject *(*build)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_build *__pyx_optional_args);
void (*recursive_partition)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, PyArrayObject *, PyArrayObject *, PyArrayObject *, PyArrayObject *, int, double, int, int, int, double *);
int (*add_split_node)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int, int, int, double, double *, double, double, int);
int (*add_leaf)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int, int, double *, double, int);
void (*find_split)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int, int *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int, int *, double *, double *, double *);
void (*find_best_split)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int, int *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int, int *, double *, double *, double *);
void (*find_random_split)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int, int *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int, int *, double *, double *, double *);
PyObject *(*predict)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, int __pyx_skip_dispatch);
PyObject *(*apply)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, int __pyx_skip_dispatch);
PyObject *(*compute_feature_importances)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances *__pyx_optional_args);
double (*_compute_feature_importances_gini)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int);
double (*_compute_feature_importances_squared)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int);
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree *__pyx_vtabptr_7sklearn_4tree_5_tree_Tree;
static CYTHON_INLINE double __pyx_f_7sklearn_4tree_5_tree_4Tree__compute_feature_importances_gini(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int);
static CYTHON_INLINE double __pyx_f_7sklearn_4tree_5_tree_4Tree__compute_feature_importances_squared(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int);
/* "sklearn/tree/_tree.pyx":1068
* # =============================================================================
*
* cdef class Criterion: # <<<<<<<<<<<<<<
* """Interface for splitting criteria (regression and classification)."""
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion {
void (*init)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int);
void (*reset)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *);
PyBoolObject *(*update)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, int *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *);
double (*eval)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *);
void (*init_value)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, double *);
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *__pyx_vtabptr_7sklearn_4tree_5_tree_Criterion;
/* "sklearn/tree/_tree.pyx":1472
*
*
* cdef class RegressionCriterion(Criterion): # <<<<<<<<<<<<<<
* """Abstract criterion for regression.
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion {
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion *__pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion;
/* "sklearn/tree/_tree.pyx":1772
*
*
* cdef class MSE(RegressionCriterion): # <<<<<<<<<<<<<<
* """Mean squared error impurity criterion.
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_MSE {
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_RegressionCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_MSE *__pyx_vtabptr_7sklearn_4tree_5_tree_MSE;
/* "sklearn/tree/_tree.pyx":1103
*
*
* cdef class ClassificationCriterion(Criterion): # <<<<<<<<<<<<<<
* """Abstract criterion for classification.
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion {
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion *__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion;
/* "sklearn/tree/_tree.pyx":1358
*
*
* cdef class Gini(ClassificationCriterion): # <<<<<<<<<<<<<<
* """Gini Index splitting criteria.
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Gini {
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Gini *__pyx_vtabptr_7sklearn_4tree_5_tree_Gini;
/* "sklearn/tree/_tree.pyx":1421
*
*
* cdef class Entropy(ClassificationCriterion): # <<<<<<<<<<<<<<
* """Cross Entropy splitting criteria.
*
*/
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Entropy {
struct __pyx_vtabstruct_7sklearn_4tree_5_tree_ClassificationCriterion __pyx_base;
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Entropy *__pyx_vtabptr_7sklearn_4tree_5_tree_Entropy;
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_classes___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_13children_left___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_14children_right___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
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static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10best_error___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10init_error___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_samples___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree___cinit__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, int __pyx_v_n_features, PyObject *__pyx_v_n_classes, int __pyx_v_n_outputs, struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *__pyx_v_criterion, double __pyx_v_max_depth, int __pyx_v_min_samples_split, int __pyx_v_min_samples_leaf, double __pyx_v_min_density, int __pyx_v_max_features, int __pyx_v_find_split_algorithm, PyObject *__pyx_v_random_state); /* proto */
static void __pyx_pf_7sklearn_4tree_5_tree_4Tree_2__dealloc__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_4__reduce__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_6__getstate__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_8__setstate__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_d); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10build(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyArrayObject *__pyx_v_X, PyArrayObject *__pyx_v_y, PyArrayObject *__pyx_v_sample_mask, PyArrayObject *__pyx_v_X_argsorted, PyArrayObject *__pyx_v_sample_weight); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_12predict(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyArrayObject *__pyx_v_X); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_14apply(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyArrayObject *__pyx_v_X); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_16compute_feature_importances(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_method); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_10n_features___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_10n_features_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_outputs___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_9n_outputs_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_13max_n_classes___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_13max_n_classes_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_12value_stride___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_12value_stride_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9criterion___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_9criterion_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_9criterion_4__del__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_9max_depth___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_9max_depth_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_17min_samples_split___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_17min_samples_split_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_7sklearn_4tree_5_tree_4Tree_16min_samples_leaf___get__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self); /* proto */
static int __pyx_pf_7sklearn_4tree_5_tree_4Tree_16min_samples_leaf_2__set__(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
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*
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* int* X_argsorted_ptr, int X_argsorted_stride,
* DOUBLE_t* y_ptr, int y_stride,
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int __pyx_v_max_features;
int __pyx_v_visited_features;
int __pyx_v_min_samples_leaf;
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int __pyx_v_a;
int __pyx_v_b;
int __pyx_v_best_i;
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int __pyx_v_n_left;
double __pyx_v_t;
double __pyx_v_initial_error;
double __pyx_v_error;
double __pyx_v_best_error;
double __pyx_v_best_t;
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/* "sklearn/tree/_tree.pyx":712
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* cdef int max_features = self.max_features
* cdef int visited_features = 0
*/
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/* "sklearn/tree/_tree.pyx":713
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* cdef int visited_features = 0
* cdef int min_samples_leaf = self.min_samples_leaf
*/
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/* "sklearn/tree/_tree.pyx":714
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* cdef int min_samples_leaf = self.min_samples_leaf
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* cdef object random_state = self.random_state
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*/
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/* "sklearn/tree/_tree.pyx":716
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/* "sklearn/tree/_tree.pyx":718
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*/
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/* "sklearn/tree/_tree.pyx":720
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/* "sklearn/tree/_tree.pyx":723
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/* "sklearn/tree/_tree.pyx":725
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/* "sklearn/tree/_tree.pyx":726
*
* cdef DTYPE_t* X_i = NULL
* cdef int* X_argsorted_i = NULL # <<<<<<<<<<<<<<
* cdef DTYPE_t X_a, X_b
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*/
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/* "sklearn/tree/_tree.pyx":729
* cdef DTYPE_t X_a, X_b
*
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/* "sklearn/tree/_tree.pyx":737
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* weighted_n_node_samples,
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* initial_error = criterion.eval()
*
*/
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->init(__pyx_v_criterion, __pyx_v_y_ptr, __pyx_v_y_stride, __pyx_v_sample_weight_ptr, __pyx_v_sample_mask_ptr, __pyx_v_n_node_samples, __pyx_v_weighted_n_node_samples, __pyx_v_n_total_samples);
/* "sklearn/tree/_tree.pyx":738
* weighted_n_node_samples,
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*/
__pyx_v_initial_error = ((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->eval(__pyx_v_criterion);
/* "sklearn/tree/_tree.pyx":740
* initial_error = criterion.eval()
*
* if initial_error == 0: # break early if the node is pure # <<<<<<<<<<<<<<
* _best_i[0] = best_i
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*/
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if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":741
*
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/* "sklearn/tree/_tree.pyx":742
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* _best_error[0] = initial_error
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*/
(__pyx_v__best_t[0]) = __pyx_v_best_t;
/* "sklearn/tree/_tree.pyx":743
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*/
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/* "sklearn/tree/_tree.pyx":744
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*
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*/
(__pyx_v__initial_error[0]) = __pyx_v_initial_error;
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*
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*/
goto __pyx_L0;
goto __pyx_L3;
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__pyx_L3:;
/* "sklearn/tree/_tree.pyx":749
*
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} else {
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}
if (__pyx_t_4) {
/* "sklearn/tree/_tree.pyx":750
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*/
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/* "sklearn/tree/_tree.pyx":752
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*/
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/* "sklearn/tree/_tree.pyx":755
*
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*
*/
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for (__pyx_v_feature_idx = 0; __pyx_v_feature_idx < __pyx_t_8; __pyx_v_feature_idx++) {
/* "sklearn/tree/_tree.pyx":756
* # Look for the best split
* for feature_idx from 0 <= feature_idx < n_features:
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/* "sklearn/tree/_tree.pyx":759
*
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/* "sklearn/tree/_tree.pyx":760
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/* "sklearn/tree/_tree.pyx":763
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*/
((struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Criterion *)__pyx_v_criterion->__pyx_vtab)->reset(__pyx_v_criterion);
/* "sklearn/tree/_tree.pyx":766
*
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*
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__pyx_t_4 = ((__pyx_v_sample_mask_ptr[(__pyx_v_X_argsorted_i[__pyx_v_a])]) == 0);
if (!__pyx_t_4) break;
/* "sklearn/tree/_tree.pyx":769
*
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/* "sklearn/tree/_tree.pyx":773
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*/
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/* "sklearn/tree/_tree.pyx":775
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*
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if (__pyx_t_4) {
/* "sklearn/tree/_tree.pyx":776
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*
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goto __pyx_L5_continue;
goto __pyx_L9;
}
__pyx_L9:;
/* "sklearn/tree/_tree.pyx":779
*
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/* "sklearn/tree/_tree.pyx":782
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/* "sklearn/tree/_tree.pyx":783
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/* "sklearn/tree/_tree.pyx":784
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*
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goto __pyx_L11_break;
goto __pyx_L12;
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__pyx_L12:;
/* "sklearn/tree/_tree.pyx":790
* X_argsorted_i,
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__pyx_L13:;
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/* "sklearn/tree/_tree.pyx":1288
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* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes # <<<<<<<<<<<<<<
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left
*/
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/* "sklearn/tree/_tree.pyx":1289
* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride # <<<<<<<<<<<<<<
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right
*/
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/* "sklearn/tree/_tree.pyx":1290
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left # <<<<<<<<<<<<<<
* cdef double* label_count_right = self.label_count_right
* cdef int n_left = self.n_left
*/
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/* "sklearn/tree/_tree.pyx":1291
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right # <<<<<<<<<<<<<<
* cdef int n_left = self.n_left
* cdef int n_right = self.n_right
*/
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/* "sklearn/tree/_tree.pyx":1292
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right
* cdef int n_left = self.n_left # <<<<<<<<<<<<<<
* cdef int n_right = self.n_right
* cdef double weighted_n_left = self.weighted_n_left
*/
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/* "sklearn/tree/_tree.pyx":1293
* cdef double* label_count_right = self.label_count_right
* cdef int n_left = self.n_left
* cdef int n_right = self.n_right # <<<<<<<<<<<<<<
* cdef double weighted_n_left = self.weighted_n_left
* cdef double weighted_n_right = self.weighted_n_right
*/
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/* "sklearn/tree/_tree.pyx":1294
* cdef int n_left = self.n_left
* cdef int n_right = self.n_right
* cdef double weighted_n_left = self.weighted_n_left # <<<<<<<<<<<<<<
* cdef double weighted_n_right = self.weighted_n_right
*
*/
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/* "sklearn/tree/_tree.pyx":1295
* cdef int n_right = self.n_right
* cdef double weighted_n_left = self.weighted_n_left
* cdef double weighted_n_right = self.weighted_n_right # <<<<<<<<<<<<<<
*
* cdef int idx, k, c, s
*/
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/* "sklearn/tree/_tree.pyx":1298
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* cdef int idx, k, c, s
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*
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/* "sklearn/tree/_tree.pyx":1301
*
* # post condition: all samples from [0:b) are on the left side
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* s = X_argsorted_i[idx]
*
*/
__pyx_t_1 = __pyx_v_b;
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/* "sklearn/tree/_tree.pyx":1302
* # post condition: all samples from [0:b) are on the left side
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*
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*/
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/* "sklearn/tree/_tree.pyx":1304
* s = X_argsorted_i[idx]
*
* if sample_mask[s] == 0: # <<<<<<<<<<<<<<
* continue
* if sample_weight != NULL:
*/
__pyx_t_2 = ((__pyx_v_sample_mask[__pyx_v_s]) == 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1305
*
* if sample_mask[s] == 0:
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* if sample_weight != NULL:
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*/
goto __pyx_L3_continue;
goto __pyx_L5;
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__pyx_L5:;
/* "sklearn/tree/_tree.pyx":1306
* if sample_mask[s] == 0:
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* if sample_weight != NULL: # <<<<<<<<<<<<<<
* w = sample_weight[s]
*
*/
__pyx_t_2 = (__pyx_v_sample_weight != NULL);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1307
* continue
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* w = sample_weight[s] # <<<<<<<<<<<<<<
*
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*/
__pyx_v_w = (__pyx_v_sample_weight[__pyx_v_s]);
goto __pyx_L6;
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__pyx_L6:;
/* "sklearn/tree/_tree.pyx":1309
* w = sample_weight[s]
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* c = <int>y[s * y_stride + k]
* label_count_left[k * label_count_stride + c] += w
*/
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for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_3; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1310
*
* for k from 0 <= k < n_outputs:
* c = <int>y[s * y_stride + k] # <<<<<<<<<<<<<<
* label_count_left[k * label_count_stride + c] += w
* label_count_right[k * label_count_stride + c] -= w
*/
__pyx_v_c = ((int)(__pyx_v_y[((__pyx_v_s * __pyx_v_y_stride) + __pyx_v_k)]));
/* "sklearn/tree/_tree.pyx":1311
* for k from 0 <= k < n_outputs:
* c = <int>y[s * y_stride + k]
* label_count_left[k * label_count_stride + c] += w # <<<<<<<<<<<<<<
* label_count_right[k * label_count_stride + c] -= w
*
*/
__pyx_t_4 = ((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c);
(__pyx_v_label_count_left[__pyx_t_4]) = ((__pyx_v_label_count_left[__pyx_t_4]) + __pyx_v_w);
/* "sklearn/tree/_tree.pyx":1312
* c = <int>y[s * y_stride + k]
* label_count_left[k * label_count_stride + c] += w
* label_count_right[k * label_count_stride + c] -= w # <<<<<<<<<<<<<<
*
* n_left += 1
*/
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/* "sklearn/tree/_tree.pyx":1314
* label_count_right[k * label_count_stride + c] -= w
*
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* n_right -= 1
* weighted_n_left += w
*/
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/* "sklearn/tree/_tree.pyx":1315
*
* n_left += 1
* n_right -= 1 # <<<<<<<<<<<<<<
* weighted_n_left += w
* weighted_n_right -= w
*/
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/* "sklearn/tree/_tree.pyx":1316
* n_left += 1
* n_right -= 1
* weighted_n_left += w # <<<<<<<<<<<<<<
* weighted_n_right -= w
*
*/
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/* "sklearn/tree/_tree.pyx":1317
* n_right -= 1
* weighted_n_left += w
* weighted_n_right -= w # <<<<<<<<<<<<<<
*
* self.n_left = n_left
*/
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/* "sklearn/tree/_tree.pyx":1319
* weighted_n_right -= w
*
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* self.n_right = n_right
* self.weighted_n_left = weighted_n_left
*/
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/* "sklearn/tree/_tree.pyx":1320
*
* self.n_left = n_left
* self.n_right = n_right # <<<<<<<<<<<<<<
* self.weighted_n_left = weighted_n_left
* self.weighted_n_right = weighted_n_right
*/
__pyx_v_self->__pyx_base.n_right = __pyx_v_n_right;
/* "sklearn/tree/_tree.pyx":1321
* self.n_left = n_left
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* self.weighted_n_right = weighted_n_right
*
*/
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/* "sklearn/tree/_tree.pyx":1322
* self.n_right = n_right
* self.weighted_n_left = weighted_n_left
* self.weighted_n_right = weighted_n_right # <<<<<<<<<<<<<<
*
* # Skip splits that result in nodes with net 0 or negative weight
*/
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/* "sklearn/tree/_tree.pyx":1325
*
* # Skip splits that result in nodes with net 0 or negative weight
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*/
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/* "sklearn/tree/_tree.pyx":1326
* # Skip splits that result in nodes with net 0 or negative weight
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* return False
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/* "sklearn/tree/_tree.pyx":1327
* if (weighted_n_left <= 0 or
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/* "sklearn/tree/_tree.pyx":1330
*
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/* "sklearn/tree/_tree.pyx":1331
* # Prevent any single class from having a net negative weight
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for (__pyx_v_c = 0; __pyx_v_c < __pyx_t_3; __pyx_v_c++) {
/* "sklearn/tree/_tree.pyx":1332
* for k from 0 <= k < n_outputs:
* for c from 0 <= c < n_classes[k]:
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/* "sklearn/tree/_tree.pyx":1333
* for c from 0 <= c < n_classes[k]:
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/* "sklearn/tree/_tree.pyx":1334
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/* "sklearn/tree/_tree.pyx":1346
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/* "sklearn/tree/_tree.pyx":1347
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/* "sklearn/tree/_tree.pyx":1348
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/* "sklearn/tree/_tree.pyx":1352
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/* "sklearn/tree/_tree.pyx":1353
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/* "sklearn/tree/_tree.pyx":1377
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* cdef double n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes # <<<<<<<<<<<<<<
* cdef int label_count_stride = self.label_count_stride
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/* "sklearn/tree/_tree.pyx":1379
* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride # <<<<<<<<<<<<<<
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right
*/
__pyx_v_label_count_stride = __pyx_v_self->__pyx_base.label_count_stride;
/* "sklearn/tree/_tree.pyx":1380
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left # <<<<<<<<<<<<<<
* cdef double* label_count_right = self.label_count_right
* cdef double n_left = self.weighted_n_left
*/
__pyx_v_label_count_left = __pyx_v_self->__pyx_base.label_count_left;
/* "sklearn/tree/_tree.pyx":1381
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right # <<<<<<<<<<<<<<
* cdef double n_left = self.weighted_n_left
* cdef double n_right = self.weighted_n_right
*/
__pyx_v_label_count_right = __pyx_v_self->__pyx_base.label_count_right;
/* "sklearn/tree/_tree.pyx":1382
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right
* cdef double n_left = self.weighted_n_left # <<<<<<<<<<<<<<
* cdef double n_right = self.weighted_n_right
*
*/
__pyx_v_n_left = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left;
/* "sklearn/tree/_tree.pyx":1383
* cdef double* label_count_right = self.label_count_right
* cdef double n_left = self.weighted_n_left
* cdef double n_right = self.weighted_n_right # <<<<<<<<<<<<<<
*
* cdef double total_left = 0.0
*/
__pyx_v_n_right = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right;
/* "sklearn/tree/_tree.pyx":1385
* cdef double n_right = self.weighted_n_right
*
* cdef double total_left = 0.0 # <<<<<<<<<<<<<<
* cdef double total_right = 0.0
* cdef double H_left
*/
__pyx_v_total_left = 0.0;
/* "sklearn/tree/_tree.pyx":1386
*
* cdef double total_left = 0.0
* cdef double total_right = 0.0 # <<<<<<<<<<<<<<
* cdef double H_left
* cdef double H_right
*/
__pyx_v_total_right = 0.0;
/* "sklearn/tree/_tree.pyx":1392
* cdef double count_left, count_right
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* H_left = n_left * n_left
* H_right = n_right * n_right
*/
__pyx_t_1 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1393
*
* for k from 0 <= k < n_outputs:
* H_left = n_left * n_left # <<<<<<<<<<<<<<
* H_right = n_right * n_right
*
*/
__pyx_v_H_left = (__pyx_v_n_left * __pyx_v_n_left);
/* "sklearn/tree/_tree.pyx":1394
* for k from 0 <= k < n_outputs:
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* H_right = n_right * n_right # <<<<<<<<<<<<<<
*
* for c from 0 <= c < n_classes[k]:
*/
__pyx_v_H_right = (__pyx_v_n_right * __pyx_v_n_right);
/* "sklearn/tree/_tree.pyx":1396
* H_right = n_right * n_right
*
* for c from 0 <= c < n_classes[k]: # <<<<<<<<<<<<<<
* count_left = label_count_left[k * label_count_stride + c]
* if count_left > 0:
*/
__pyx_t_2 = (__pyx_v_n_classes[__pyx_v_k]);
for (__pyx_v_c = 0; __pyx_v_c < __pyx_t_2; __pyx_v_c++) {
/* "sklearn/tree/_tree.pyx":1397
*
* for c from 0 <= c < n_classes[k]:
* count_left = label_count_left[k * label_count_stride + c] # <<<<<<<<<<<<<<
* if count_left > 0:
* H_left -= (count_left * count_left)
*/
__pyx_v_count_left = (__pyx_v_label_count_left[((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c)]);
/* "sklearn/tree/_tree.pyx":1398
* for c from 0 <= c < n_classes[k]:
* count_left = label_count_left[k * label_count_stride + c]
* if count_left > 0: # <<<<<<<<<<<<<<
* H_left -= (count_left * count_left)
*
*/
__pyx_t_3 = (__pyx_v_count_left > 0.0);
if (__pyx_t_3) {
/* "sklearn/tree/_tree.pyx":1399
* count_left = label_count_left[k * label_count_stride + c]
* if count_left > 0:
* H_left -= (count_left * count_left) # <<<<<<<<<<<<<<
*
* count_right = label_count_right[k * label_count_stride + c]
*/
__pyx_v_H_left = (__pyx_v_H_left - (__pyx_v_count_left * __pyx_v_count_left));
goto __pyx_L7;
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__pyx_L7:;
/* "sklearn/tree/_tree.pyx":1401
* H_left -= (count_left * count_left)
*
* count_right = label_count_right[k * label_count_stride + c] # <<<<<<<<<<<<<<
* if count_right > 0:
* H_right -= (count_right * count_right)
*/
__pyx_v_count_right = (__pyx_v_label_count_right[((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c)]);
/* "sklearn/tree/_tree.pyx":1402
*
* count_right = label_count_right[k * label_count_stride + c]
* if count_right > 0: # <<<<<<<<<<<<<<
* H_right -= (count_right * count_right)
*
*/
__pyx_t_3 = (__pyx_v_count_right > 0.0);
if (__pyx_t_3) {
/* "sklearn/tree/_tree.pyx":1403
* count_right = label_count_right[k * label_count_stride + c]
* if count_right > 0:
* H_right -= (count_right * count_right) # <<<<<<<<<<<<<<
*
* if n_left == 0:
*/
__pyx_v_H_right = (__pyx_v_H_right - (__pyx_v_count_right * __pyx_v_count_right));
goto __pyx_L8;
}
__pyx_L8:;
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/* "sklearn/tree/_tree.pyx":1405
* H_right -= (count_right * count_right)
*
* if n_left == 0: # <<<<<<<<<<<<<<
* H_left = 0
* else:
*/
__pyx_t_3 = (__pyx_v_n_left == 0.0);
if (__pyx_t_3) {
/* "sklearn/tree/_tree.pyx":1406
*
* if n_left == 0:
* H_left = 0 # <<<<<<<<<<<<<<
* else:
* H_left /= n_left
*/
__pyx_v_H_left = 0.0;
goto __pyx_L9;
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/*else*/ {
/* "sklearn/tree/_tree.pyx":1408
* H_left = 0
* else:
* H_left /= n_left # <<<<<<<<<<<<<<
*
* if n_right == 0:
*/
__pyx_v_H_left = (__pyx_v_H_left / __pyx_v_n_left);
}
__pyx_L9:;
/* "sklearn/tree/_tree.pyx":1410
* H_left /= n_left
*
* if n_right == 0: # <<<<<<<<<<<<<<
* H_right = 0
* else:
*/
__pyx_t_3 = (__pyx_v_n_right == 0.0);
if (__pyx_t_3) {
/* "sklearn/tree/_tree.pyx":1411
*
* if n_right == 0:
* H_right = 0 # <<<<<<<<<<<<<<
* else:
* H_right /= n_right
*/
__pyx_v_H_right = 0.0;
goto __pyx_L10;
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/*else*/ {
/* "sklearn/tree/_tree.pyx":1413
* H_right = 0
* else:
* H_right /= n_right # <<<<<<<<<<<<<<
*
* total_left += H_left
*/
__pyx_v_H_right = (__pyx_v_H_right / __pyx_v_n_right);
}
__pyx_L10:;
/* "sklearn/tree/_tree.pyx":1415
* H_right /= n_right
*
* total_left += H_left # <<<<<<<<<<<<<<
* total_right += H_right
*
*/
__pyx_v_total_left = (__pyx_v_total_left + __pyx_v_H_left);
/* "sklearn/tree/_tree.pyx":1416
*
* total_left += H_left
* total_right += H_right # <<<<<<<<<<<<<<
*
* return (total_left + total_right) / (n_samples * n_outputs)
*/
__pyx_v_total_right = (__pyx_v_total_right + __pyx_v_H_right);
}
/* "sklearn/tree/_tree.pyx":1418
* total_right += H_right
*
* return (total_left + total_right) / (n_samples * n_outputs) # <<<<<<<<<<<<<<
*
*
*/
__pyx_r = ((__pyx_v_total_left + __pyx_v_total_right) / (__pyx_v_n_samples * __pyx_v_n_outputs));
goto __pyx_L0;
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__Pyx_RefNannyFinishContext();
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/* "sklearn/tree/_tree.pyx":1436
* """
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* cdef double eval(self): # <<<<<<<<<<<<<<
* """Returns Entropy of left branch + Entropy index of right branch. """
* cdef double n_samples = self.weighted_n_samples
*/
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double __pyx_v_n_samples;
int __pyx_v_n_outputs;
int *__pyx_v_n_classes;
int __pyx_v_label_count_stride;
double *__pyx_v_label_count_left;
double *__pyx_v_label_count_right;
double __pyx_v_n_left;
double __pyx_v_n_right;
double __pyx_v_total;
double __pyx_v_H_left;
double __pyx_v_H_right;
int __pyx_v_k;
int __pyx_v_c;
double __pyx_v_e1;
double __pyx_v_e2;
double __pyx_r;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
__Pyx_RefNannySetupContext("eval", 0);
/* "sklearn/tree/_tree.pyx":1438
* cdef double eval(self):
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* cdef double n_samples = self.weighted_n_samples # <<<<<<<<<<<<<<
* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes
*/
__pyx_v_n_samples = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_samples;
/* "sklearn/tree/_tree.pyx":1439
* """Returns Entropy of left branch + Entropy index of right branch. """
* cdef double n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs # <<<<<<<<<<<<<<
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride
*/
__pyx_v_n_outputs = __pyx_v_self->__pyx_base.__pyx_base.n_outputs;
/* "sklearn/tree/_tree.pyx":1440
* cdef double n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes # <<<<<<<<<<<<<<
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left
*/
__pyx_v_n_classes = __pyx_v_self->__pyx_base.n_classes;
/* "sklearn/tree/_tree.pyx":1441
* cdef int n_outputs = self.n_outputs
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride # <<<<<<<<<<<<<<
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right
*/
__pyx_v_label_count_stride = __pyx_v_self->__pyx_base.label_count_stride;
/* "sklearn/tree/_tree.pyx":1442
* cdef int* n_classes = self.n_classes
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left # <<<<<<<<<<<<<<
* cdef double* label_count_right = self.label_count_right
* cdef double n_left = self.weighted_n_left
*/
__pyx_v_label_count_left = __pyx_v_self->__pyx_base.label_count_left;
/* "sklearn/tree/_tree.pyx":1443
* cdef int label_count_stride = self.label_count_stride
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right # <<<<<<<<<<<<<<
* cdef double n_left = self.weighted_n_left
* cdef double n_right = self.weighted_n_right
*/
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/* "sklearn/tree/_tree.pyx":1444
* cdef double* label_count_left = self.label_count_left
* cdef double* label_count_right = self.label_count_right
* cdef double n_left = self.weighted_n_left # <<<<<<<<<<<<<<
* cdef double n_right = self.weighted_n_right
*
*/
__pyx_v_n_left = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_left;
/* "sklearn/tree/_tree.pyx":1445
* cdef double* label_count_right = self.label_count_right
* cdef double n_left = self.weighted_n_left
* cdef double n_right = self.weighted_n_right # <<<<<<<<<<<<<<
*
* cdef double total = 0.0
*/
__pyx_v_n_right = __pyx_v_self->__pyx_base.__pyx_base.weighted_n_right;
/* "sklearn/tree/_tree.pyx":1447
* cdef double n_right = self.weighted_n_right
*
* cdef double total = 0.0 # <<<<<<<<<<<<<<
* cdef double H_left
* cdef double H_right
*/
__pyx_v_total = 0.0;
/* "sklearn/tree/_tree.pyx":1453
* cdef double e1, e2
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* H_left = 0.0
* H_right = 0.0
*/
__pyx_t_1 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1454
*
* for k from 0 <= k < n_outputs:
* H_left = 0.0 # <<<<<<<<<<<<<<
* H_right = 0.0
*
*/
__pyx_v_H_left = 0.0;
/* "sklearn/tree/_tree.pyx":1455
* for k from 0 <= k < n_outputs:
* H_left = 0.0
* H_right = 0.0 # <<<<<<<<<<<<<<
*
* for c from 0 <= c < n_classes[k]:
*/
__pyx_v_H_right = 0.0;
/* "sklearn/tree/_tree.pyx":1457
* H_right = 0.0
*
* for c from 0 <= c < n_classes[k]: # <<<<<<<<<<<<<<
* if label_count_left[k * label_count_stride + c] > 0:
* H_left -= ((label_count_left[k * label_count_stride + c] / n_left) * log(label_count_left[k * label_count_stride + c] / n_left))
*/
__pyx_t_2 = (__pyx_v_n_classes[__pyx_v_k]);
for (__pyx_v_c = 0; __pyx_v_c < __pyx_t_2; __pyx_v_c++) {
/* "sklearn/tree/_tree.pyx":1458
*
* for c from 0 <= c < n_classes[k]:
* if label_count_left[k * label_count_stride + c] > 0: # <<<<<<<<<<<<<<
* H_left -= ((label_count_left[k * label_count_stride + c] / n_left) * log(label_count_left[k * label_count_stride + c] / n_left))
*
*/
__pyx_t_3 = ((__pyx_v_label_count_left[((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c)]) > 0.0);
if (__pyx_t_3) {
/* "sklearn/tree/_tree.pyx":1459
* for c from 0 <= c < n_classes[k]:
* if label_count_left[k * label_count_stride + c] > 0:
* H_left -= ((label_count_left[k * label_count_stride + c] / n_left) * log(label_count_left[k * label_count_stride + c] / n_left)) # <<<<<<<<<<<<<<
*
* if self.label_count_right[k * label_count_stride + c] > 0:
*/
__pyx_v_H_left = (__pyx_v_H_left - (((__pyx_v_label_count_left[((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c)]) / __pyx_v_n_left) * log(((__pyx_v_label_count_left[((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c)]) / __pyx_v_n_left))));
goto __pyx_L7;
}
__pyx_L7:;
/* "sklearn/tree/_tree.pyx":1461
* H_left -= ((label_count_left[k * label_count_stride + c] / n_left) * log(label_count_left[k * label_count_stride + c] / n_left))
*
* if self.label_count_right[k * label_count_stride + c] > 0: # <<<<<<<<<<<<<<
* H_right -= ((label_count_right[k * label_count_stride + c] / n_right) * log(label_count_right[k * label_count_stride + c] / n_right))
*
*/
__pyx_t_3 = ((__pyx_v_self->__pyx_base.label_count_right[((__pyx_v_k * __pyx_v_label_count_stride) + __pyx_v_c)]) > 0.0);
if (__pyx_t_3) {
/* "sklearn/tree/_tree.pyx":1462
*
* if self.label_count_right[k * label_count_stride + c] > 0:
* H_right -= ((label_count_right[k * label_count_stride + c] / n_right) * log(label_count_right[k * label_count_stride + c] / n_right)) # <<<<<<<<<<<<<<
*
* e1 = (n_left / n_samples) * H_left
*/
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goto __pyx_L8;
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__pyx_L8:;
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/* "sklearn/tree/_tree.pyx":1464
* H_right -= ((label_count_right[k * label_count_stride + c] / n_right) * log(label_count_right[k * label_count_stride + c] / n_right))
*
* e1 = (n_left / n_samples) * H_left # <<<<<<<<<<<<<<
* e2 = (n_right / n_samples) * H_right
*
*/
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/* "sklearn/tree/_tree.pyx":1465
*
* e1 = (n_left / n_samples) * H_left
* e2 = (n_right / n_samples) * H_right # <<<<<<<<<<<<<<
*
* total += e1 + e2
*/
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/* "sklearn/tree/_tree.pyx":1467
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*
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*
* return total / n_outputs
*/
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/* "sklearn/tree/_tree.pyx":1469
* total += e1 + e2
*
* return total / n_outputs # <<<<<<<<<<<<<<
*
*
*/
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goto __pyx_L0;
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__pyx_L0:;
__Pyx_RefNannyFinishContext();
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int __pyx_r;
__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0);
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double *__pyx_v_mean_left;
double *__pyx_v_mean_right;
double *__pyx_v_mean_init;
double *__pyx_v_sq_sum_left;
double *__pyx_v_sq_sum_right;
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double *__pyx_v_var_left;
double *__pyx_v_var_right;
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int __pyx_v_k;
__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t __pyx_v_w;
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* are in the right branch and store the mean and squared
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* cdef double* mean_right = self.mean_right
* cdef double* mean_init = self.mean_init
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__pyx_v_mean_left = __pyx_v_self->mean_left;
/* "sklearn/tree/_tree.pyx":1611
* sum in `self.mean_init` and `self.sq_sum_init`. """
* cdef double* mean_left = self.mean_left
* cdef double* mean_right = self.mean_right # <<<<<<<<<<<<<<
* cdef double* mean_init = self.mean_init
* cdef double* sq_sum_left = self.sq_sum_left
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/* "sklearn/tree/_tree.pyx":1612
* cdef double* mean_left = self.mean_left
* cdef double* mean_right = self.mean_right
* cdef double* mean_init = self.mean_init # <<<<<<<<<<<<<<
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right
*/
__pyx_v_mean_init = __pyx_v_self->mean_init;
/* "sklearn/tree/_tree.pyx":1613
* cdef double* mean_right = self.mean_right
* cdef double* mean_init = self.mean_init
* cdef double* sq_sum_left = self.sq_sum_left # <<<<<<<<<<<<<<
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* sq_sum_init = self.sq_sum_init
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__pyx_v_sq_sum_left = __pyx_v_self->sq_sum_left;
/* "sklearn/tree/_tree.pyx":1614
* cdef double* mean_init = self.mean_init
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right # <<<<<<<<<<<<<<
* cdef double* sq_sum_init = self.sq_sum_init
* cdef double* var_left = self.var_left
*/
__pyx_v_sq_sum_right = __pyx_v_self->sq_sum_right;
/* "sklearn/tree/_tree.pyx":1615
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* sq_sum_init = self.sq_sum_init # <<<<<<<<<<<<<<
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right
*/
__pyx_v_sq_sum_init = __pyx_v_self->sq_sum_init;
/* "sklearn/tree/_tree.pyx":1616
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* sq_sum_init = self.sq_sum_init
* cdef double* var_left = self.var_left # <<<<<<<<<<<<<<
* cdef double* var_right = self.var_right
* cdef int n_outputs = self.n_outputs
*/
__pyx_v_var_left = __pyx_v_self->var_left;
/* "sklearn/tree/_tree.pyx":1617
* cdef double* sq_sum_init = self.sq_sum_init
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right # <<<<<<<<<<<<<<
* cdef int n_outputs = self.n_outputs
*
*/
__pyx_v_var_right = __pyx_v_self->var_right;
/* "sklearn/tree/_tree.pyx":1618
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right
* cdef int n_outputs = self.n_outputs # <<<<<<<<<<<<<<
*
* cdef int k = 0
*/
__pyx_v_n_outputs = __pyx_v_self->__pyx_base.n_outputs;
/* "sklearn/tree/_tree.pyx":1620
* cdef int n_outputs = self.n_outputs
*
* cdef int k = 0 # <<<<<<<<<<<<<<
*
* for k from 0 <= k < n_outputs:
*/
__pyx_v_k = 0;
/* "sklearn/tree/_tree.pyx":1622
* cdef int k = 0
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* mean_left[k] = 0.0
* mean_right[k] = 0.0
*/
__pyx_t_1 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1623
*
* for k from 0 <= k < n_outputs:
* mean_left[k] = 0.0 # <<<<<<<<<<<<<<
* mean_right[k] = 0.0
* mean_init[k] = 0.0
*/
(__pyx_v_mean_left[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1624
* for k from 0 <= k < n_outputs:
* mean_left[k] = 0.0
* mean_right[k] = 0.0 # <<<<<<<<<<<<<<
* mean_init[k] = 0.0
* sq_sum_right[k] = 0.0
*/
(__pyx_v_mean_right[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1625
* mean_left[k] = 0.0
* mean_right[k] = 0.0
* mean_init[k] = 0.0 # <<<<<<<<<<<<<<
* sq_sum_right[k] = 0.0
* sq_sum_left[k] = 0.0
*/
(__pyx_v_mean_init[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1626
* mean_right[k] = 0.0
* mean_init[k] = 0.0
* sq_sum_right[k] = 0.0 # <<<<<<<<<<<<<<
* sq_sum_left[k] = 0.0
* sq_sum_init[k] = 0.0
*/
(__pyx_v_sq_sum_right[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1627
* mean_init[k] = 0.0
* sq_sum_right[k] = 0.0
* sq_sum_left[k] = 0.0 # <<<<<<<<<<<<<<
* sq_sum_init[k] = 0.0
* var_left[k] = 0.0
*/
(__pyx_v_sq_sum_left[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1628
* sq_sum_right[k] = 0.0
* sq_sum_left[k] = 0.0
* sq_sum_init[k] = 0.0 # <<<<<<<<<<<<<<
* var_left[k] = 0.0
* var_right[k] = 0.0
*/
(__pyx_v_sq_sum_init[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1629
* sq_sum_left[k] = 0.0
* sq_sum_init[k] = 0.0
* var_left[k] = 0.0 # <<<<<<<<<<<<<<
* var_right[k] = 0.0
*
*/
(__pyx_v_var_left[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1630
* sq_sum_init[k] = 0.0
* var_left[k] = 0.0
* var_right[k] = 0.0 # <<<<<<<<<<<<<<
*
* self.n_samples = n_samples
*/
(__pyx_v_var_right[__pyx_v_k]) = 0.0;
}
/* "sklearn/tree/_tree.pyx":1632
* var_right[k] = 0.0
*
* self.n_samples = n_samples # <<<<<<<<<<<<<<
* self.weighted_n_samples = weighted_n_samples
*
*/
__pyx_v_self->__pyx_base.n_samples = __pyx_v_n_samples;
/* "sklearn/tree/_tree.pyx":1633
*
* self.n_samples = n_samples
* self.weighted_n_samples = weighted_n_samples # <<<<<<<<<<<<<<
*
* cdef DOUBLE_t w = 1.0
*/
__pyx_v_self->__pyx_base.weighted_n_samples = __pyx_v_weighted_n_samples;
/* "sklearn/tree/_tree.pyx":1635
* self.weighted_n_samples = weighted_n_samples
*
* cdef DOUBLE_t w = 1.0 # <<<<<<<<<<<<<<
* cdef DOUBLE_t y_jk = 0.0
* cdef int j = 0
*/
__pyx_v_w = 1.0;
/* "sklearn/tree/_tree.pyx":1636
*
* cdef DOUBLE_t w = 1.0
* cdef DOUBLE_t y_jk = 0.0 # <<<<<<<<<<<<<<
* cdef int j = 0
*
*/
__pyx_v_y_jk = 0.0;
/* "sklearn/tree/_tree.pyx":1637
* cdef DOUBLE_t w = 1.0
* cdef DOUBLE_t y_jk = 0.0
* cdef int j = 0 # <<<<<<<<<<<<<<
*
* for j from 0 <= j < n_total_samples:
*/
__pyx_v_j = 0;
/* "sklearn/tree/_tree.pyx":1639
* cdef int j = 0
*
* for j from 0 <= j < n_total_samples: # <<<<<<<<<<<<<<
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* 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":1640
*
* for j from 0 <= j < n_total_samples:
* if sample_mask[j] == 0: # <<<<<<<<<<<<<<
* continue
* if sample_weight != NULL:
*/
__pyx_t_2 = ((__pyx_v_sample_mask[__pyx_v_j]) == 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1641
* for j from 0 <= j < n_total_samples:
* if sample_mask[j] == 0:
* continue # <<<<<<<<<<<<<<
* if sample_weight != NULL:
* w = sample_weight[j]
*/
goto __pyx_L5_continue;
goto __pyx_L7;
}
__pyx_L7:;
/* "sklearn/tree/_tree.pyx":1642
* if sample_mask[j] == 0:
* continue
* if sample_weight != NULL: # <<<<<<<<<<<<<<
* w = sample_weight[j]
*
*/
__pyx_t_2 = (__pyx_v_sample_weight != NULL);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1643
* continue
* if sample_weight != NULL:
* w = sample_weight[j] # <<<<<<<<<<<<<<
*
* for k from 0 <= k < n_outputs:
*/
__pyx_v_w = (__pyx_v_sample_weight[__pyx_v_j]);
goto __pyx_L8;
}
__pyx_L8:;
/* "sklearn/tree/_tree.pyx":1645
* w = sample_weight[j]
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* y_jk = y[j * y_stride + k]
* sq_sum_init[k] += w * y_jk * y_jk
*/
__pyx_t_3 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_3; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1646
*
* for k from 0 <= k < n_outputs:
* y_jk = y[j * y_stride + k] # <<<<<<<<<<<<<<
* sq_sum_init[k] += w * y_jk * y_jk
* mean_init[k] += w * y_jk
*/
__pyx_v_y_jk = (__pyx_v_y[((__pyx_v_j * __pyx_v_y_stride) + __pyx_v_k)]);
/* "sklearn/tree/_tree.pyx":1647
* for k from 0 <= k < n_outputs:
* y_jk = y[j * y_stride + k]
* sq_sum_init[k] += w * y_jk * y_jk # <<<<<<<<<<<<<<
* mean_init[k] += w * y_jk
*
*/
__pyx_t_4 = __pyx_v_k;
(__pyx_v_sq_sum_init[__pyx_t_4]) = ((__pyx_v_sq_sum_init[__pyx_t_4]) + ((__pyx_v_w * __pyx_v_y_jk) * __pyx_v_y_jk));
/* "sklearn/tree/_tree.pyx":1648
* y_jk = y[j * y_stride + k]
* sq_sum_init[k] += w * y_jk * y_jk
* mean_init[k] += w * y_jk # <<<<<<<<<<<<<<
*
* for k from 0 <= k < n_outputs:
*/
__pyx_t_4 = __pyx_v_k;
(__pyx_v_mean_init[__pyx_t_4]) = ((__pyx_v_mean_init[__pyx_t_4]) + (__pyx_v_w * __pyx_v_y_jk));
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__pyx_L5_continue:;
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/* "sklearn/tree/_tree.pyx":1650
* mean_init[k] += w * y_jk
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* mean_init[k] /= weighted_n_samples
*
*/
__pyx_t_1 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1651
*
* for k from 0 <= k < n_outputs:
* mean_init[k] /= weighted_n_samples # <<<<<<<<<<<<<<
*
* self.reset()
*/
__pyx_t_3 = __pyx_v_k;
(__pyx_v_mean_init[__pyx_t_3]) = ((__pyx_v_mean_init[__pyx_t_3]) / __pyx_v_weighted_n_samples);
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/* "sklearn/tree/_tree.pyx":1653
* mean_init[k] /= weighted_n_samples
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((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));
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/* "sklearn/tree/_tree.pyx":1655
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double *__pyx_v_mean_right;
double *__pyx_v_mean_init;
double *__pyx_v_sq_sum_left;
double *__pyx_v_sq_sum_right;
double *__pyx_v_sq_sum_init;
double *__pyx_v_var_left;
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/* "sklearn/tree/_tree.pyx":1662
* right branch.
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* cdef double* mean_init = self.mean_init
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__pyx_v_mean_left = __pyx_v_self->mean_left;
/* "sklearn/tree/_tree.pyx":1663
* """
* cdef double* mean_left = self.mean_left
* cdef double* mean_right = self.mean_right # <<<<<<<<<<<<<<
* cdef double* mean_init = self.mean_init
* cdef double* sq_sum_left = self.sq_sum_left
*/
__pyx_v_mean_right = __pyx_v_self->mean_right;
/* "sklearn/tree/_tree.pyx":1664
* cdef double* mean_left = self.mean_left
* cdef double* mean_right = self.mean_right
* cdef double* mean_init = self.mean_init # <<<<<<<<<<<<<<
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right
*/
__pyx_v_mean_init = __pyx_v_self->mean_init;
/* "sklearn/tree/_tree.pyx":1665
* cdef double* mean_right = self.mean_right
* cdef double* mean_init = self.mean_init
* cdef double* sq_sum_left = self.sq_sum_left # <<<<<<<<<<<<<<
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* sq_sum_init = self.sq_sum_init
*/
__pyx_v_sq_sum_left = __pyx_v_self->sq_sum_left;
/* "sklearn/tree/_tree.pyx":1666
* cdef double* mean_init = self.mean_init
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right # <<<<<<<<<<<<<<
* cdef double* sq_sum_init = self.sq_sum_init
* cdef double* var_left = self.var_left
*/
__pyx_v_sq_sum_right = __pyx_v_self->sq_sum_right;
/* "sklearn/tree/_tree.pyx":1667
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* sq_sum_init = self.sq_sum_init # <<<<<<<<<<<<<<
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right
*/
__pyx_v_sq_sum_init = __pyx_v_self->sq_sum_init;
/* "sklearn/tree/_tree.pyx":1668
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* sq_sum_init = self.sq_sum_init
* cdef double* var_left = self.var_left # <<<<<<<<<<<<<<
* cdef double* var_right = self.var_right
*
*/
__pyx_v_var_left = __pyx_v_self->var_left;
/* "sklearn/tree/_tree.pyx":1669
* cdef double* sq_sum_init = self.sq_sum_init
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right # <<<<<<<<<<<<<<
*
* cdef double weighted_n_samples = self.weighted_n_samples
*/
__pyx_v_var_right = __pyx_v_self->var_right;
/* "sklearn/tree/_tree.pyx":1671
* cdef double* var_right = self.var_right
*
* cdef double weighted_n_samples = self.weighted_n_samples # <<<<<<<<<<<<<<
* cdef int n_outputs = self.n_outputs
*
*/
__pyx_v_weighted_n_samples = __pyx_v_self->__pyx_base.weighted_n_samples;
/* "sklearn/tree/_tree.pyx":1672
*
* cdef double weighted_n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs # <<<<<<<<<<<<<<
*
* cdef int k = 0
*/
__pyx_v_n_outputs = __pyx_v_self->__pyx_base.n_outputs;
/* "sklearn/tree/_tree.pyx":1674
* cdef int n_outputs = self.n_outputs
*
* cdef int k = 0 # <<<<<<<<<<<<<<
*
* self.n_right = self.n_samples
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__pyx_v_k = 0;
/* "sklearn/tree/_tree.pyx":1676
* cdef int k = 0
*
* self.n_right = self.n_samples # <<<<<<<<<<<<<<
* self.n_left = 0
* self.weighted_n_right = self.weighted_n_samples
*/
__pyx_v_self->__pyx_base.n_right = __pyx_v_self->__pyx_base.n_samples;
/* "sklearn/tree/_tree.pyx":1677
*
* self.n_right = self.n_samples
* self.n_left = 0 # <<<<<<<<<<<<<<
* self.weighted_n_right = self.weighted_n_samples
* self.weighted_n_left = 0.0
*/
__pyx_v_self->__pyx_base.n_left = 0;
/* "sklearn/tree/_tree.pyx":1678
* self.n_right = self.n_samples
* self.n_left = 0
* self.weighted_n_right = self.weighted_n_samples # <<<<<<<<<<<<<<
* self.weighted_n_left = 0.0
*
*/
__pyx_v_self->__pyx_base.weighted_n_right = __pyx_v_self->__pyx_base.weighted_n_samples;
/* "sklearn/tree/_tree.pyx":1679
* self.n_left = 0
* self.weighted_n_right = self.weighted_n_samples
* self.weighted_n_left = 0.0 # <<<<<<<<<<<<<<
*
* for k from 0 <= k < n_outputs:
*/
__pyx_v_self->__pyx_base.weighted_n_left = 0.0;
/* "sklearn/tree/_tree.pyx":1681
* self.weighted_n_left = 0.0
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* mean_right[k] = mean_init[k]
* mean_left[k] = 0.0
*/
__pyx_t_1 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_1; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1682
*
* for k from 0 <= k < n_outputs:
* mean_right[k] = mean_init[k] # <<<<<<<<<<<<<<
* mean_left[k] = 0.0
* sq_sum_right[k] = sq_sum_init[k]
*/
(__pyx_v_mean_right[__pyx_v_k]) = (__pyx_v_mean_init[__pyx_v_k]);
/* "sklearn/tree/_tree.pyx":1683
* for k from 0 <= k < n_outputs:
* mean_right[k] = mean_init[k]
* mean_left[k] = 0.0 # <<<<<<<<<<<<<<
* sq_sum_right[k] = sq_sum_init[k]
* sq_sum_left[k] = 0.0
*/
(__pyx_v_mean_left[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1684
* mean_right[k] = mean_init[k]
* mean_left[k] = 0.0
* sq_sum_right[k] = sq_sum_init[k] # <<<<<<<<<<<<<<
* sq_sum_left[k] = 0.0
* var_left[k] = 0.0
*/
(__pyx_v_sq_sum_right[__pyx_v_k]) = (__pyx_v_sq_sum_init[__pyx_v_k]);
/* "sklearn/tree/_tree.pyx":1685
* mean_left[k] = 0.0
* sq_sum_right[k] = sq_sum_init[k]
* sq_sum_left[k] = 0.0 # <<<<<<<<<<<<<<
* var_left[k] = 0.0
* var_right[k] = (sq_sum_right[k] -
*/
(__pyx_v_sq_sum_left[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1686
* sq_sum_right[k] = sq_sum_init[k]
* sq_sum_left[k] = 0.0
* var_left[k] = 0.0 # <<<<<<<<<<<<<<
* var_right[k] = (sq_sum_right[k] -
* weighted_n_samples * (mean_right[k] * mean_right[k]))
*/
(__pyx_v_var_left[__pyx_v_k]) = 0.0;
/* "sklearn/tree/_tree.pyx":1687
* sq_sum_left[k] = 0.0
* var_left[k] = 0.0
* var_right[k] = (sq_sum_right[k] - # <<<<<<<<<<<<<<
* weighted_n_samples * (mean_right[k] * mean_right[k]))
*
*/
(__pyx_v_var_right[__pyx_v_k]) = ((__pyx_v_sq_sum_right[__pyx_v_k]) - (__pyx_v_weighted_n_samples * ((__pyx_v_mean_right[__pyx_v_k]) * (__pyx_v_mean_right[__pyx_v_k]))));
}
__Pyx_RefNannyFinishContext();
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/* "sklearn/tree/_tree.pyx":1690
* weighted_n_samples * (mean_right[k] * mean_right[k]))
*
* cdef bool update(self, int a, int b, # <<<<<<<<<<<<<<
* DOUBLE_t* y, int y_stride,
* int* X_argsorted_i,
*/
static PyBoolObject *__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_DOUBLE_t *__pyx_v_y, int __pyx_v_y_stride, int *__pyx_v_X_argsorted_i, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *__pyx_v_sample_weight, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *__pyx_v_sample_mask) {
double *__pyx_v_mean_left;
double *__pyx_v_mean_right;
double *__pyx_v_sq_sum_left;
double *__pyx_v_sq_sum_right;
double *__pyx_v_var_left;
double *__pyx_v_var_right;
CYTHON_UNUSED int __pyx_v_n_samples;
double __pyx_v_weighted_n_samples;
int __pyx_v_n_outputs;
int __pyx_v_n_left;
int __pyx_v_n_right;
double __pyx_v_weighted_n_left;
double __pyx_v_weighted_n_right;
__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t __pyx_v_w;
__pyx_t_7sklearn_4tree_5_tree_DOUBLE_t __pyx_v_y_idx;
int __pyx_v_idx;
int __pyx_v_j;
int __pyx_v_k;
PyBoolObject *__pyx_r = NULL;
__Pyx_RefNannyDeclarations
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
PyObject *__pyx_t_7 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("update", 0);
/* "sklearn/tree/_tree.pyx":1697
* """Update the criteria for each value in interval [a,b) (where a and b
* are indices in `X_argsorted_i`)."""
* cdef double* mean_left = self.mean_left # <<<<<<<<<<<<<<
* cdef double* mean_right = self.mean_right
* cdef double* sq_sum_left = self.sq_sum_left
*/
__pyx_v_mean_left = __pyx_v_self->mean_left;
/* "sklearn/tree/_tree.pyx":1698
* are indices in `X_argsorted_i`)."""
* cdef double* mean_left = self.mean_left
* cdef double* mean_right = self.mean_right # <<<<<<<<<<<<<<
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right
*/
__pyx_v_mean_right = __pyx_v_self->mean_right;
/* "sklearn/tree/_tree.pyx":1699
* cdef double* mean_left = self.mean_left
* cdef double* mean_right = self.mean_right
* cdef double* sq_sum_left = self.sq_sum_left # <<<<<<<<<<<<<<
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* var_left = self.var_left
*/
__pyx_v_sq_sum_left = __pyx_v_self->sq_sum_left;
/* "sklearn/tree/_tree.pyx":1700
* cdef double* mean_right = self.mean_right
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right # <<<<<<<<<<<<<<
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right
*/
__pyx_v_sq_sum_right = __pyx_v_self->sq_sum_right;
/* "sklearn/tree/_tree.pyx":1701
* cdef double* sq_sum_left = self.sq_sum_left
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* var_left = self.var_left # <<<<<<<<<<<<<<
* cdef double* var_right = self.var_right
*
*/
__pyx_v_var_left = __pyx_v_self->var_left;
/* "sklearn/tree/_tree.pyx":1702
* cdef double* sq_sum_right = self.sq_sum_right
* cdef double* var_left = self.var_left
* cdef double* var_right = self.var_right # <<<<<<<<<<<<<<
*
* cdef int n_samples = self.n_samples
*/
__pyx_v_var_right = __pyx_v_self->var_right;
/* "sklearn/tree/_tree.pyx":1704
* cdef double* var_right = self.var_right
*
* cdef int n_samples = self.n_samples # <<<<<<<<<<<<<<
* cdef double weighted_n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs
*/
__pyx_v_n_samples = __pyx_v_self->__pyx_base.n_samples;
/* "sklearn/tree/_tree.pyx":1705
*
* cdef int n_samples = self.n_samples
* cdef double weighted_n_samples = self.weighted_n_samples # <<<<<<<<<<<<<<
* cdef int n_outputs = self.n_outputs
* cdef int n_left = self.n_left
*/
__pyx_v_weighted_n_samples = __pyx_v_self->__pyx_base.weighted_n_samples;
/* "sklearn/tree/_tree.pyx":1706
* cdef int n_samples = self.n_samples
* cdef double weighted_n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs # <<<<<<<<<<<<<<
* cdef int n_left = self.n_left
* cdef int n_right = self.n_right
*/
__pyx_v_n_outputs = __pyx_v_self->__pyx_base.n_outputs;
/* "sklearn/tree/_tree.pyx":1707
* cdef double weighted_n_samples = self.weighted_n_samples
* cdef int n_outputs = self.n_outputs
* cdef int n_left = self.n_left # <<<<<<<<<<<<<<
* cdef int n_right = self.n_right
* cdef double weighted_n_left = self.weighted_n_left
*/
__pyx_v_n_left = __pyx_v_self->__pyx_base.n_left;
/* "sklearn/tree/_tree.pyx":1708
* cdef int n_outputs = self.n_outputs
* cdef int n_left = self.n_left
* cdef int n_right = self.n_right # <<<<<<<<<<<<<<
* cdef double weighted_n_left = self.weighted_n_left
* cdef double weighted_n_right = self.weighted_n_right
*/
__pyx_v_n_right = __pyx_v_self->__pyx_base.n_right;
/* "sklearn/tree/_tree.pyx":1709
* cdef int n_left = self.n_left
* cdef int n_right = self.n_right
* cdef double weighted_n_left = self.weighted_n_left # <<<<<<<<<<<<<<
* cdef double weighted_n_right = self.weighted_n_right
*
*/
__pyx_v_weighted_n_left = __pyx_v_self->__pyx_base.weighted_n_left;
/* "sklearn/tree/_tree.pyx":1710
* cdef int n_right = self.n_right
* cdef double weighted_n_left = self.weighted_n_left
* cdef double weighted_n_right = self.weighted_n_right # <<<<<<<<<<<<<<
*
* cdef DOUBLE_t w = 1.0
*/
__pyx_v_weighted_n_right = __pyx_v_self->__pyx_base.weighted_n_right;
/* "sklearn/tree/_tree.pyx":1712
* cdef double weighted_n_right = self.weighted_n_right
*
* cdef DOUBLE_t w = 1.0 # <<<<<<<<<<<<<<
* cdef DOUBLE_t y_idx = 0.0
* cdef int idx, j, k
*/
__pyx_v_w = 1.0;
/* "sklearn/tree/_tree.pyx":1713
*
* cdef DOUBLE_t w = 1.0
* cdef DOUBLE_t y_idx = 0.0 # <<<<<<<<<<<<<<
* cdef int idx, j, k
*
*/
__pyx_v_y_idx = 0.0;
/* "sklearn/tree/_tree.pyx":1717
*
* # post condition: all samples from [0:b) are on the left side
* for idx from a <= idx < b: # <<<<<<<<<<<<<<
* j = X_argsorted_i[idx]
*
*/
__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":1718
* # 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_v_j = (__pyx_v_X_argsorted_i[__pyx_v_idx]);
/* "sklearn/tree/_tree.pyx":1720
* j = X_argsorted_i[idx]
*
* if sample_mask[j] == 0: # <<<<<<<<<<<<<<
* continue
* if sample_weight != NULL:
*/
__pyx_t_2 = ((__pyx_v_sample_mask[__pyx_v_j]) == 0);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1721
*
* if sample_mask[j] == 0:
* continue # <<<<<<<<<<<<<<
* if sample_weight != NULL:
* w = sample_weight[j]
*/
goto __pyx_L3_continue;
goto __pyx_L5;
}
__pyx_L5:;
/* "sklearn/tree/_tree.pyx":1722
* if sample_mask[j] == 0:
* continue
* if sample_weight != NULL: # <<<<<<<<<<<<<<
* w = sample_weight[j]
*
*/
__pyx_t_2 = (__pyx_v_sample_weight != NULL);
if (__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1723
* continue
* if sample_weight != NULL:
* w = sample_weight[j] # <<<<<<<<<<<<<<
*
* for k from 0 <= k < n_outputs:
*/
__pyx_v_w = (__pyx_v_sample_weight[__pyx_v_j]);
goto __pyx_L6;
}
__pyx_L6:;
/* "sklearn/tree/_tree.pyx":1725
* w = sample_weight[j]
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* y_idx = y[j * y_stride + k]
* sq_sum_left[k] += w * (y_idx * y_idx)
*/
__pyx_t_3 = __pyx_v_n_outputs;
for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_3; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1726
*
* for k from 0 <= k < n_outputs:
* y_idx = y[j * y_stride + k] # <<<<<<<<<<<<<<
* sq_sum_left[k] += w * (y_idx * y_idx)
* sq_sum_right[k] -= w * (y_idx * y_idx)
*/
__pyx_v_y_idx = (__pyx_v_y[((__pyx_v_j * __pyx_v_y_stride) + __pyx_v_k)]);
/* "sklearn/tree/_tree.pyx":1727
* for k from 0 <= k < n_outputs:
* y_idx = y[j * y_stride + k]
* sq_sum_left[k] += w * (y_idx * y_idx) # <<<<<<<<<<<<<<
* sq_sum_right[k] -= w * (y_idx * y_idx)
*
*/
__pyx_t_4 = __pyx_v_k;
(__pyx_v_sq_sum_left[__pyx_t_4]) = ((__pyx_v_sq_sum_left[__pyx_t_4]) + (__pyx_v_w * (__pyx_v_y_idx * __pyx_v_y_idx)));
/* "sklearn/tree/_tree.pyx":1728
* y_idx = y[j * y_stride + k]
* sq_sum_left[k] += w * (y_idx * y_idx)
* sq_sum_right[k] -= w * (y_idx * y_idx) # <<<<<<<<<<<<<<
*
* mean_left[k] = ((weighted_n_left * mean_left[k] + w * y_idx) /
*/
__pyx_t_4 = __pyx_v_k;
(__pyx_v_sq_sum_right[__pyx_t_4]) = ((__pyx_v_sq_sum_right[__pyx_t_4]) - (__pyx_v_w * (__pyx_v_y_idx * __pyx_v_y_idx)));
/* "sklearn/tree/_tree.pyx":1730
* sq_sum_right[k] -= w * (y_idx * y_idx)
*
* mean_left[k] = ((weighted_n_left * mean_left[k] + w * y_idx) / # <<<<<<<<<<<<<<
* (weighted_n_left + w))
* mean_right[k] = (((weighted_n_samples - weighted_n_left) *
*/
(__pyx_v_mean_left[__pyx_v_k]) = (((__pyx_v_weighted_n_left * (__pyx_v_mean_left[__pyx_v_k])) + (__pyx_v_w * __pyx_v_y_idx)) / (__pyx_v_weighted_n_left + __pyx_v_w));
/* "sklearn/tree/_tree.pyx":1732
* mean_left[k] = ((weighted_n_left * mean_left[k] + w * y_idx) /
* (weighted_n_left + w))
* mean_right[k] = (((weighted_n_samples - weighted_n_left) * # <<<<<<<<<<<<<<
* mean_right[k] - w * y_idx) /
* (weighted_n_samples - weighted_n_left - w))
*/
(__pyx_v_mean_right[__pyx_v_k]) = ((((__pyx_v_weighted_n_samples - __pyx_v_weighted_n_left) * (__pyx_v_mean_right[__pyx_v_k])) - (__pyx_v_w * __pyx_v_y_idx)) / ((__pyx_v_weighted_n_samples - __pyx_v_weighted_n_left) - __pyx_v_w));
}
/* "sklearn/tree/_tree.pyx":1736
* (weighted_n_samples - weighted_n_left - w))
*
* n_left += 1 # <<<<<<<<<<<<<<
* self.n_left = n_left
* n_right -= 1
*/
__pyx_v_n_left = (__pyx_v_n_left + 1);
/* "sklearn/tree/_tree.pyx":1737
*
* n_left += 1
* self.n_left = n_left # <<<<<<<<<<<<<<
* n_right -= 1
* self.n_right = n_right
*/
__pyx_v_self->__pyx_base.n_left = __pyx_v_n_left;
/* "sklearn/tree/_tree.pyx":1738
* n_left += 1
* self.n_left = n_left
* n_right -= 1 # <<<<<<<<<<<<<<
* self.n_right = n_right
* weighted_n_left += w
*/
__pyx_v_n_right = (__pyx_v_n_right - 1);
/* "sklearn/tree/_tree.pyx":1739
* self.n_left = n_left
* n_right -= 1
* self.n_right = n_right # <<<<<<<<<<<<<<
* weighted_n_left += w
* self.weighted_n_left = weighted_n_left
*/
__pyx_v_self->__pyx_base.n_right = __pyx_v_n_right;
/* "sklearn/tree/_tree.pyx":1740
* n_right -= 1
* self.n_right = n_right
* weighted_n_left += w # <<<<<<<<<<<<<<
* self.weighted_n_left = weighted_n_left
* weighted_n_right -= w
*/
__pyx_v_weighted_n_left = (__pyx_v_weighted_n_left + __pyx_v_w);
/* "sklearn/tree/_tree.pyx":1741
* self.n_right = n_right
* weighted_n_left += w
* self.weighted_n_left = weighted_n_left # <<<<<<<<<<<<<<
* weighted_n_right -= w
* self.weighted_n_right = weighted_n_right
*/
__pyx_v_self->__pyx_base.weighted_n_left = __pyx_v_weighted_n_left;
/* "sklearn/tree/_tree.pyx":1742
* weighted_n_left += w
* self.weighted_n_left = weighted_n_left
* weighted_n_right -= w # <<<<<<<<<<<<<<
* self.weighted_n_right = weighted_n_right
*
*/
__pyx_v_weighted_n_right = (__pyx_v_weighted_n_right - __pyx_v_w);
/* "sklearn/tree/_tree.pyx":1743
* self.weighted_n_left = weighted_n_left
* weighted_n_right -= w
* self.weighted_n_right = weighted_n_right # <<<<<<<<<<<<<<
*
* for k from 0 <= k < n_outputs:
*/
__pyx_v_self->__pyx_base.weighted_n_right = __pyx_v_weighted_n_right;
/* "sklearn/tree/_tree.pyx":1745
* self.weighted_n_right = weighted_n_right
*
* for k from 0 <= k < n_outputs: # <<<<<<<<<<<<<<
* var_left[k] = sq_sum_left[k] - weighted_n_left * (mean_left[k] * mean_left[k])
* var_right[k] = sq_sum_right[k] - weighted_n_right * (mean_right[k] * mean_right[k])
*/
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for (__pyx_v_k = 0; __pyx_v_k < __pyx_t_3; __pyx_v_k++) {
/* "sklearn/tree/_tree.pyx":1746
*
* for k from 0 <= k < n_outputs:
* var_left[k] = sq_sum_left[k] - weighted_n_left * (mean_left[k] * mean_left[k]) # <<<<<<<<<<<<<<
* var_right[k] = sq_sum_right[k] - weighted_n_right * (mean_right[k] * mean_right[k])
*
*/
(__pyx_v_var_left[__pyx_v_k]) = ((__pyx_v_sq_sum_left[__pyx_v_k]) - (__pyx_v_weighted_n_left * ((__pyx_v_mean_left[__pyx_v_k]) * (__pyx_v_mean_left[__pyx_v_k]))));
/* "sklearn/tree/_tree.pyx":1747
* for k from 0 <= k < n_outputs:
* var_left[k] = sq_sum_left[k] - weighted_n_left * (mean_left[k] * mean_left[k])
* var_right[k] = sq_sum_right[k] - weighted_n_right * (mean_right[k] * mean_right[k]) # <<<<<<<<<<<<<<
*
* # Skip splits that result in nodes with net 0 or negative weight
*/
(__pyx_v_var_right[__pyx_v_k]) = ((__pyx_v_sq_sum_right[__pyx_v_k]) - (__pyx_v_weighted_n_right * ((__pyx_v_mean_right[__pyx_v_k]) * (__pyx_v_mean_right[__pyx_v_k]))));
}
__pyx_L3_continue:;
}
/* "sklearn/tree/_tree.pyx":1750
*
* # Skip splits that result in nodes with net 0 or negative weight
* if (weighted_n_left <= 0 or # <<<<<<<<<<<<<<
* (self.weighted_n_samples - weighted_n_left) <= 0):
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*/
__pyx_t_2 = (__pyx_v_weighted_n_left <= 0.0);
if (!__pyx_t_2) {
/* "sklearn/tree/_tree.pyx":1751
* # Skip splits that result in nodes with net 0 or negative weight
* if (weighted_n_left <= 0 or
* (self.weighted_n_samples - weighted_n_left) <= 0): # <<<<<<<<<<<<<<
* return False
*
*/
__pyx_t_5 = ((__pyx_v_self->__pyx_base.weighted_n_samples - __pyx_v_weighted_n_left) <= 0.0);
__pyx_t_6 = __pyx_t_5;
} else {
__pyx_t_6 = __pyx_t_2;
}
if (__pyx_t_6) {
/* "sklearn/tree/_tree.pyx":1752
* if (weighted_n_left <= 0 or
* (self.weighted_n_samples - weighted_n_left) <= 0):
* return False # <<<<<<<<<<<<<<
*
* return True
*/
__Pyx_XDECREF(((PyObject *)__pyx_r));
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goto __pyx_L0;
goto __pyx_L11;
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__pyx_L11:;
/* "sklearn/tree/_tree.pyx":1754
* return False
*
* return True # <<<<<<<<<<<<<<
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{__pyx_filename = __pyx_f[2]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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/* "numpy.pxd":223
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/* "numpy.pxd":226
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/* "numpy.pxd":227
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/* "numpy.pxd":228
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/* "numpy.pxd":229
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/* "numpy.pxd":230
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/* "numpy.pxd":246
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/* "numpy.pxd":248
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/* "numpy.pxd":253
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/* "numpy.pxd":254
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/* "numpy.pxd":255
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/* "numpy.pxd":256
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/* "numpy.pxd":257
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{__pyx_filename = __pyx_f[2]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
goto __pyx_L12;
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__pyx_L12:;
/* "numpy.pxd":258
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goto __pyx_L13;
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/* "numpy.pxd":259
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goto __pyx_L13;
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/* "numpy.pxd":260
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__pyx_v_f = __pyx_k__h;
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/* "numpy.pxd":261
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__pyx_v_f = __pyx_k__H;
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/* "numpy.pxd":262
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__pyx_v_f = __pyx_k__i;
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/* "numpy.pxd":263
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__I;
goto __pyx_L13;
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/* "numpy.pxd":264
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__l;
goto __pyx_L13;
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/* "numpy.pxd":265
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__L;
goto __pyx_L13;
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/* "numpy.pxd":266
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__q;
goto __pyx_L13;
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/* "numpy.pxd":267
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__Q;
goto __pyx_L13;
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/* "numpy.pxd":268
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__f;
goto __pyx_L13;
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/* "numpy.pxd":269
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if (__pyx_t_1) {
__pyx_v_f = __pyx_k__d;
goto __pyx_L13;
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/* "numpy.pxd":270
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goto __pyx_L13;
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/* "numpy.pxd":271
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goto __pyx_L13;
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/* "numpy.pxd":272
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/* "numpy.pxd":273
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0, /*nb_or*/
#if PY_MAJOR_VERSION < 3
0, /*nb_coerce*/
#endif
0, /*nb_int*/
#if PY_MAJOR_VERSION < 3
0, /*nb_long*/
#else
0, /*reserved*/
#endif
0, /*nb_float*/
#if PY_MAJOR_VERSION < 3
0, /*nb_oct*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*nb_hex*/
#endif
0, /*nb_inplace_add*/
0, /*nb_inplace_subtract*/
0, /*nb_inplace_multiply*/
#if PY_MAJOR_VERSION < 3
0, /*nb_inplace_divide*/
#endif
0, /*nb_inplace_remainder*/
0, /*nb_inplace_power*/
0, /*nb_inplace_lshift*/
0, /*nb_inplace_rshift*/
0, /*nb_inplace_and*/
0, /*nb_inplace_xor*/
0, /*nb_inplace_or*/
0, /*nb_floor_divide*/
0, /*nb_true_divide*/
0, /*nb_inplace_floor_divide*/
0, /*nb_inplace_true_divide*/
#if PY_VERSION_HEX >= 0x02050000
0, /*nb_index*/
#endif
};
static PySequenceMethods __pyx_tp_as_sequence_Criterion = {
0, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
0, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_Criterion = {
0, /*mp_length*/
0, /*mp_subscript*/
0, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_Criterion = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
#if PY_VERSION_HEX >= 0x02060000
0, /*bf_getbuffer*/
#endif
#if PY_VERSION_HEX >= 0x02060000
0, /*bf_releasebuffer*/
#endif
};
static PyTypeObject __pyx_type_7sklearn_4tree_5_tree_Criterion = {
PyVarObject_HEAD_INIT(0, 0)
__Pyx_NAMESTR("sklearn.tree._tree.Criterion"), /*tp_name*/
sizeof(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_7sklearn_4tree_5_tree_Criterion, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#else
0, /*reserved*/
#endif
0, /*tp_repr*/
&__pyx_tp_as_number_Criterion, /*tp_as_number*/
&__pyx_tp_as_sequence_Criterion, /*tp_as_sequence*/
&__pyx_tp_as_mapping_Criterion, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_Criterion, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/
__Pyx_DOCSTR("Interface for splitting criteria (regression and classification)."), /*tp_doc*/
0, /*tp_traverse*/
0, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_7sklearn_4tree_5_tree_Criterion, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_7sklearn_4tree_5_tree_Criterion, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
#if PY_VERSION_HEX >= 0x02060000
0, /*tp_version_tag*/
#endif
};
static struct __pyx_vtabstruct_7sklearn_4tree_5_tree_Tree __pyx_vtable_7sklearn_4tree_5_tree_Tree;
static PyObject *__pyx_tp_new_7sklearn_4tree_5_tree_Tree(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_obj_7sklearn_4tree_5_tree_Tree *p;
PyObject *o = (*t->tp_alloc)(t, 0);
if (!o) return 0;
p = ((struct __pyx_obj_7sklearn_4tree_5_tree_Tree *)o);
p->__pyx_vtab = __pyx_vtabptr_7sklearn_4tree_5_tree_Tree;
p->criterion = ((struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *)Py_None); Py_INCREF(Py_None);
p->random_state = Py_None; Py_INCREF(Py_None);
p->features = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
if (__pyx_pw_7sklearn_4tree_5_tree_4Tree_1__cinit__(o, a, k) < 0) {
Py_DECREF(o); o = 0;
}
return o;
}
static void __pyx_tp_dealloc_7sklearn_4tree_5_tree_Tree(PyObject *o) {
struct __pyx_obj_7sklearn_4tree_5_tree_Tree *p = (struct __pyx_obj_7sklearn_4tree_5_tree_Tree *)o;
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_pw_7sklearn_4tree_5_tree_4Tree_3__dealloc__(o);
if (PyErr_Occurred()) PyErr_WriteUnraisable(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->criterion);
Py_CLEAR(p->random_state);
Py_CLEAR(p->features);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_7sklearn_4tree_5_tree_Tree(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_obj_7sklearn_4tree_5_tree_Tree *p = (struct __pyx_obj_7sklearn_4tree_5_tree_Tree *)o;
if (p->criterion) {
e = (*v)(((PyObject*)p->criterion), a); if (e) return e;
}
if (p->random_state) {
e = (*v)(p->random_state, a); if (e) return e;
}
if (p->features) {
e = (*v)(((PyObject*)p->features), a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_7sklearn_4tree_5_tree_Tree(PyObject *o) {
struct __pyx_obj_7sklearn_4tree_5_tree_Tree *p = (struct __pyx_obj_7sklearn_4tree_5_tree_Tree *)o;
PyObject* tmp;
tmp = ((PyObject*)p->criterion);
p->criterion = ((struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *)Py_None); Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->random_state);
p->random_state = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->features);
p->features = ((PyArrayObject *)Py_None); Py_INCREF(Py_None);
Py_XDECREF(tmp);
return 0;
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_classes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_classes_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_left(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_13children_left_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_right(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_14children_right_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_feature(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_7feature_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_threshold(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9threshold_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_value(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_5value_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_best_error(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10best_error_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_init_error(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10init_error_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_samples(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_samples_1__get__(o);
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_features(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10n_features_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_features(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10n_features_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_outputs(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_outputs_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_outputs(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9n_outputs_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_n_classes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_13max_n_classes_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_n_classes(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_13max_n_classes_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_value_stride(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12value_stride_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_value_stride(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12value_stride_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_criterion(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9criterion_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_criterion(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9criterion_3__set__(o, v);
}
else {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9criterion_5__del__(o);
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_depth(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9max_depth_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_depth(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_9max_depth_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_min_samples_split(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_17min_samples_split_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_min_samples_split(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_17min_samples_split_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_min_samples_leaf(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_16min_samples_leaf_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_min_samples_leaf(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_16min_samples_leaf_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_min_density(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_11min_density_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_min_density(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_11min_density_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_features(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12max_features_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_features(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12max_features_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_find_split_algorithm(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_20find_split_algorithm_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_find_split_algorithm(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_20find_split_algorithm_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_random_state(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12random_state_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_random_state(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12random_state_3__set__(o, v);
}
else {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_12random_state_5__del__(o);
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_node_count(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10node_count_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_node_count(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_10node_count_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyObject *__pyx_getprop_7sklearn_4tree_5_tree_4Tree_capacity(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_8capacity_1__get__(o);
}
static int __pyx_setprop_7sklearn_4tree_5_tree_4Tree_capacity(PyObject *o, PyObject *v, CYTHON_UNUSED void *x) {
if (v) {
return __pyx_pw_7sklearn_4tree_5_tree_4Tree_8capacity_3__set__(o, v);
}
else {
PyErr_SetString(PyExc_NotImplementedError, "__del__");
return -1;
}
}
static PyMethodDef __pyx_methods_7sklearn_4tree_5_tree_Tree[] = {
{__Pyx_NAMESTR("__reduce__"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_5__reduce__, METH_NOARGS, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_4__reduce__)},
{__Pyx_NAMESTR("__getstate__"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_7__getstate__, METH_NOARGS, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_6__getstate__)},
{__Pyx_NAMESTR("__setstate__"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_9__setstate__, METH_O, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_8__setstate__)},
{__Pyx_NAMESTR("build"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_11build, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_10build)},
{__Pyx_NAMESTR("predict"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_13predict, METH_O, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_12predict)},
{__Pyx_NAMESTR("apply"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_15apply, METH_O, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_14apply)},
{__Pyx_NAMESTR("compute_feature_importances"), (PyCFunction)__pyx_pw_7sklearn_4tree_5_tree_4Tree_17compute_feature_importances, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_7sklearn_4tree_5_tree_4Tree_16compute_feature_importances)},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_7sklearn_4tree_5_tree_Tree[] = {
{(char *)"n_classes", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_classes, 0, 0, 0},
{(char *)"children_left", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_left, 0, 0, 0},
{(char *)"children_right", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_children_right, 0, 0, 0},
{(char *)"feature", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_feature, 0, 0, 0},
{(char *)"threshold", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_threshold, 0, 0, 0},
{(char *)"value", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_value, 0, 0, 0},
{(char *)"best_error", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_best_error, 0, 0, 0},
{(char *)"init_error", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_init_error, 0, 0, 0},
{(char *)"n_samples", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_samples, 0, 0, 0},
{(char *)"n_features", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_features, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_features, 0, 0},
{(char *)"n_outputs", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_n_outputs, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_n_outputs, 0, 0},
{(char *)"max_n_classes", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_n_classes, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_n_classes, 0, 0},
{(char *)"value_stride", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_value_stride, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_value_stride, 0, 0},
{(char *)"criterion", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_criterion, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_criterion, 0, 0},
{(char *)"max_depth", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_max_depth, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_max_depth, 0, 0},
{(char *)"min_samples_split", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_min_samples_split, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_min_samples_split, 0, 0},
{(char *)"min_samples_leaf", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_min_samples_leaf, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_min_samples_leaf, 0, 0},
{(char *)"min_density", __pyx_getprop_7sklearn_4tree_5_tree_4Tree_min_density, __pyx_setprop_7sklearn_4tree_5_tree_4Tree_min_density, 0, 0},
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/*--- Threads initialization code ---*/
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__pyx_m = Py_InitModule4(__Pyx_NAMESTR("_tree"), __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
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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;};
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/*--- 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 ---*/
__pyx_vtabptr_7sklearn_4tree_5_tree_Criterion = &__pyx_vtable_7sklearn_4tree_5_tree_Criterion;
__pyx_vtable_7sklearn_4tree_5_tree_Criterion.init = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int))__pyx_f_7sklearn_4tree_5_tree_9Criterion_init;
__pyx_vtable_7sklearn_4tree_5_tree_Criterion.reset = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_9Criterion_reset;
__pyx_vtable_7sklearn_4tree_5_tree_Criterion.update = (PyBoolObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, int *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *))__pyx_f_7sklearn_4tree_5_tree_9Criterion_update;
__pyx_vtable_7sklearn_4tree_5_tree_Criterion.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_9Criterion_eval;
__pyx_vtable_7sklearn_4tree_5_tree_Criterion.init_value = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, double *))__pyx_f_7sklearn_4tree_5_tree_9Criterion_init_value;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Criterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Criterion.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Criterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "Criterion", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Criterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1068; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_Criterion = &__pyx_type_7sklearn_4tree_5_tree_Criterion;
__pyx_vtabptr_7sklearn_4tree_5_tree_Tree = &__pyx_vtable_7sklearn_4tree_5_tree_Tree;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.resize = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_resize *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_4Tree_resize;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.build = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, PyArrayObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_build *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_4Tree_build;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.recursive_partition = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, PyArrayObject *, PyArrayObject *, PyArrayObject *, PyArrayObject *, int, double, int, int, int, double *))__pyx_f_7sklearn_4tree_5_tree_4Tree_recursive_partition;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.add_split_node = (int (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int, int, int, double, double *, double, double, int))__pyx_f_7sklearn_4tree_5_tree_4Tree_add_split_node;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.add_leaf = (int (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int, int, double *, double, int))__pyx_f_7sklearn_4tree_5_tree_4Tree_add_leaf;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.find_split = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int, int *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int, int *, double *, double *, double *))__pyx_f_7sklearn_4tree_5_tree_4Tree_find_split;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.find_best_split = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int, int *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int, int *, double *, double *, double *))__pyx_f_7sklearn_4tree_5_tree_4Tree_find_best_split;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.find_random_split = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *, int, int *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int, int *, double *, double *, double *))__pyx_f_7sklearn_4tree_5_tree_4Tree_find_random_split;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.predict = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_4Tree_predict;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.apply = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, PyArrayObject *, int __pyx_skip_dispatch))__pyx_f_7sklearn_4tree_5_tree_4Tree_apply;
__pyx_vtable_7sklearn_4tree_5_tree_Tree.compute_feature_importances = (PyObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int __pyx_skip_dispatch, struct __pyx_opt_args_7sklearn_4tree_5_tree_4Tree_compute_feature_importances *__pyx_optional_args))__pyx_f_7sklearn_4tree_5_tree_4Tree_compute_feature_importances;
__pyx_vtable_7sklearn_4tree_5_tree_Tree._compute_feature_importances_gini = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int))__pyx_f_7sklearn_4tree_5_tree_4Tree__compute_feature_importances_gini;
__pyx_vtable_7sklearn_4tree_5_tree_Tree._compute_feature_importances_squared = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Tree *, int))__pyx_f_7sklearn_4tree_5_tree_4Tree__compute_feature_importances_squared;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Tree) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Tree.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Tree) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "Tree", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Tree) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 74; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_Tree = &__pyx_type_7sklearn_4tree_5_tree_Tree;
__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion = &__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion;
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_Criterion;
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.init = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_init;
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.reset = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_reset;
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.update = (PyBoolObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, int *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_update;
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_eval;
__pyx_vtable_7sklearn_4tree_5_tree_ClassificationCriterion.__pyx_base.init_value = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, double *))__pyx_f_7sklearn_4tree_5_tree_23ClassificationCriterion_init_value;
__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_Criterion;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "ClassificationCriterion", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1103; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion = &__pyx_type_7sklearn_4tree_5_tree_ClassificationCriterion;
__pyx_vtabptr_7sklearn_4tree_5_tree_Gini = &__pyx_vtable_7sklearn_4tree_5_tree_Gini;
__pyx_vtable_7sklearn_4tree_5_tree_Gini.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion;
__pyx_vtable_7sklearn_4tree_5_tree_Gini.__pyx_base.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_4Gini_eval;
__pyx_type_7sklearn_4tree_5_tree_Gini.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Gini) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1358; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Gini.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Gini) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1358; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "Gini", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Gini) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1358; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_Gini = &__pyx_type_7sklearn_4tree_5_tree_Gini;
__pyx_vtabptr_7sklearn_4tree_5_tree_Entropy = &__pyx_vtable_7sklearn_4tree_5_tree_Entropy;
__pyx_vtable_7sklearn_4tree_5_tree_Entropy.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_ClassificationCriterion;
__pyx_vtable_7sklearn_4tree_5_tree_Entropy.__pyx_base.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_7Entropy_eval;
__pyx_type_7sklearn_4tree_5_tree_Entropy.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_ClassificationCriterion;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_Entropy) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1421; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_Entropy.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_Entropy) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1421; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "Entropy", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_Entropy) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1421; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_Entropy = &__pyx_type_7sklearn_4tree_5_tree_Entropy;
__pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion = &__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion;
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_Criterion;
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.init = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *, int, double, int))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_init;
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.reset = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_reset;
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.update = (PyBoolObject *(*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, int, int, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, int, int *, __pyx_t_7sklearn_4tree_5_tree_DOUBLE_t *, __pyx_t_7sklearn_4tree_5_tree_BOOL_t *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_update;
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_eval;
__pyx_vtable_7sklearn_4tree_5_tree_RegressionCriterion.__pyx_base.init_value = (void (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *, double *))__pyx_f_7sklearn_4tree_5_tree_19RegressionCriterion_init_value;
__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_Criterion;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "RegressionCriterion", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1472; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_RegressionCriterion = &__pyx_type_7sklearn_4tree_5_tree_RegressionCriterion;
__pyx_vtabptr_7sklearn_4tree_5_tree_MSE = &__pyx_vtable_7sklearn_4tree_5_tree_MSE;
__pyx_vtable_7sklearn_4tree_5_tree_MSE.__pyx_base = *__pyx_vtabptr_7sklearn_4tree_5_tree_RegressionCriterion;
__pyx_vtable_7sklearn_4tree_5_tree_MSE.__pyx_base.__pyx_base.eval = (double (*)(struct __pyx_obj_7sklearn_4tree_5_tree_Criterion *))__pyx_f_7sklearn_4tree_5_tree_3MSE_eval;
__pyx_type_7sklearn_4tree_5_tree_MSE.tp_base = __pyx_ptype_7sklearn_4tree_5_tree_RegressionCriterion;
if (PyType_Ready(&__pyx_type_7sklearn_4tree_5_tree_MSE) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1772; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetVtable(__pyx_type_7sklearn_4tree_5_tree_MSE.tp_dict, __pyx_vtabptr_7sklearn_4tree_5_tree_MSE) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1772; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
if (__Pyx_SetAttrString(__pyx_m, "MSE", (PyObject *)&__pyx_type_7sklearn_4tree_5_tree_MSE) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1772; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__pyx_ptype_7sklearn_4tree_5_tree_MSE = &__pyx_type_7sklearn_4tree_5_tree_MSE;
/*--- 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[3]; __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[2]; __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[2]; __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[2]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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if (PyObject_SetAttr(__pyx_m, __pyx_n_s____test__, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
__Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 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.tree._tree", __pyx_clineno, __pyx_lineno, __pyx_filename);
Py_DECREF(__pyx_m); __pyx_m = 0;
} else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_ImportError, "init sklearn.tree._tree");
}
__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);
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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_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 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 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 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_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 void __Pyx_RaiseImportError(PyObject *name) {
#if PY_MAJOR_VERSION < 3
PyErr_Format(PyExc_ImportError, "cannot import name %.230s",
PyString_AsString(name));
#else
PyErr_Format(PyExc_ImportError, "cannot import name %S", name);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_PyInt_to_py_Py_intptr_t(Py_intptr_t val) {
const Py_intptr_t neg_one = (Py_intptr_t)-1, const_zero = (Py_intptr_t)0;
const int is_unsigned = const_zero < neg_one;
if ((sizeof(Py_intptr_t) == sizeof(char)) ||
(sizeof(Py_intptr_t) == sizeof(short))) {
return PyInt_FromLong((long)val);
} else if ((sizeof(Py_intptr_t) == sizeof(int)) ||
(sizeof(Py_intptr_t) == sizeof(long))) {
if (is_unsigned)
return PyLong_FromUnsignedLong((unsigned long)val);
else
return PyInt_FromLong((long)val);
} else if (sizeof(Py_intptr_t) == 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(Py_intptr_t),
little, !is_unsigned);
}
}
static CYTHON_INLINE long __Pyx_pow_long(long b, long e) {
long t = b;
switch (e) {
case 3:
t *= b;
case 2:
t *= b;
case 1:
return t;
case 0:
return 1;
}
if (unlikely(e<0)) return 0;
t = 1;
while (likely(e)) {
t *= (b * (e&1)) | ((~e)&1); /* 1 or b */
b *= b;
e >>= 1;
}
return t;
}
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return ::std::complex< float >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return x + y*(__pyx_t_float_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
__pyx_t_float_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrtf(z.real*z.real + z.imag*z.imag);
#else
return hypotf(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
float denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(a, a);
case 3:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, a);
case 4:
z = __Pyx_c_prodf(a, a);
return __Pyx_c_prodf(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_absf(a);
theta = atan2f(a.imag, a.real);
}
lnr = logf(r);
z_r = expf(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cosf(z_theta);
z.imag = z_r * sinf(z_theta);
return z;
}
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return ::std::complex< double >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return x + y*(__pyx_t_double_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
__pyx_t_double_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double denom = b.real * b.real + b.imag * b.imag;
z.real = (a.real * b.real + a.imag * b.imag) / denom;
z.imag = (a.imag * b.real - a.real * b.imag) / denom;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrt(z.real*z.real + z.imag*z.imag);
#else
return hypot(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
double denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(a, a);
case 3:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, a);
case 4:
z = __Pyx_c_prod(a, a);
return __Pyx_c_prod(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
}
r = a.real;
theta = 0;
} else {
r = __Pyx_c_abs(a);
theta = atan2(a.imag, a.real);
}
lnr = log(r);
z_r = exp(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cos(z_theta);
z.imag = z_r * sin(z_theta);
return z;
}
#endif
#endif
static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) {
const unsigned char neg_one = (unsigned char)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(unsigned char) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(unsigned char)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to unsigned char" :
"value too large to convert to unsigned char");
}
return (unsigned char)-1;
}
return (unsigned char)val;
}
return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x);
}
static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) {
const unsigned short neg_one = (unsigned short)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(unsigned short) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(unsigned short)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to unsigned short" :
"value too large to convert to unsigned short");
}
return (unsigned short)-1;
}
return (unsigned short)val;
}
return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x);
}
static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) {
const unsigned int neg_one = (unsigned int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(unsigned int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(unsigned int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to unsigned int" :
"value too large to convert to unsigned int");
}
return (unsigned int)-1;
}
return (unsigned int)val;
}
return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x);
}
static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) {
const char neg_one = (char)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(char) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(char)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to char" :
"value too large to convert to char");
}
return (char)-1;
}
return (char)val;
}
return (char)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) {
const short neg_one = (short)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(short) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(short)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to short" :
"value too large to convert to short");
}
return (short)-1;
}
return (short)val;
}
return (short)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) {
const int neg_one = (int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to int" :
"value too large to convert to int");
}
return (int)-1;
}
return (int)val;
}
return (int)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) {
const signed char neg_one = (signed char)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(signed char) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(signed char)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to signed char" :
"value too large to convert to signed char");
}
return (signed char)-1;
}
return (signed char)val;
}
return (signed char)__Pyx_PyInt_AsSignedLong(x);
}
static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) {
const signed short neg_one = (signed short)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(signed short) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(signed short)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to signed short" :
"value too large to convert to signed short");
}
return (signed short)-1;
}
return (signed short)val;
}
return (signed short)__Pyx_PyInt_AsSignedLong(x);
}
static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) {
const signed int neg_one = (signed int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(signed int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(signed int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to signed int" :
"value too large to convert to signed int");
}
return (signed int)-1;
}
return (signed int)val;
}
return (signed int)__Pyx_PyInt_AsSignedLong(x);
}
static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) {
const int neg_one = (int)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
if (sizeof(int) < sizeof(long)) {
long val = __Pyx_PyInt_AsLong(x);
if (unlikely(val != (long)(int)val)) {
if (!unlikely(val == -1 && PyErr_Occurred())) {
PyErr_SetString(PyExc_OverflowError,
(is_unsigned && unlikely(val < 0)) ?
"can't convert negative value to int" :
"value too large to convert to int");
}
return (int)-1;
}
return (int)val;
}
return (int)__Pyx_PyInt_AsLong(x);
}
static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) {
const unsigned long neg_one = (unsigned long)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned long");
return (unsigned long)-1;
}
return (unsigned long)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned long");
return (unsigned long)-1;
}
return (unsigned long)PyLong_AsUnsignedLong(x);
} else {
return (unsigned long)PyLong_AsLong(x);
}
} else {
unsigned long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (unsigned long)-1;
val = __Pyx_PyInt_AsUnsignedLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) {
const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned PY_LONG_LONG");
return (unsigned PY_LONG_LONG)-1;
}
return (unsigned PY_LONG_LONG)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to unsigned PY_LONG_LONG");
return (unsigned PY_LONG_LONG)-1;
}
return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
} else {
return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x);
}
} else {
unsigned PY_LONG_LONG val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (unsigned PY_LONG_LONG)-1;
val = __Pyx_PyInt_AsUnsignedLongLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) {
const long neg_one = (long)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long)-1;
}
return (long)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long)-1;
}
return (long)PyLong_AsUnsignedLong(x);
} else {
return (long)PyLong_AsLong(x);
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (long)-1;
val = __Pyx_PyInt_AsLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) {
const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to PY_LONG_LONG");
return (PY_LONG_LONG)-1;
}
return (PY_LONG_LONG)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to PY_LONG_LONG");
return (PY_LONG_LONG)-1;
}
return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
} else {
return (PY_LONG_LONG)PyLong_AsLongLong(x);
}
} else {
PY_LONG_LONG val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (PY_LONG_LONG)-1;
val = __Pyx_PyInt_AsLongLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) {
const signed long neg_one = (signed long)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed long");
return (signed long)-1;
}
return (signed long)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed long");
return (signed long)-1;
}
return (signed long)PyLong_AsUnsignedLong(x);
} else {
return (signed long)PyLong_AsLong(x);
}
} else {
signed long val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (signed long)-1;
val = __Pyx_PyInt_AsSignedLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) {
const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0;
const int is_unsigned = neg_one > const_zero;
#if PY_VERSION_HEX < 0x03000000
if (likely(PyInt_Check(x))) {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed PY_LONG_LONG");
return (signed PY_LONG_LONG)-1;
}
return (signed PY_LONG_LONG)val;
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
if (unlikely(Py_SIZE(x) < 0)) {
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to signed PY_LONG_LONG");
return (signed PY_LONG_LONG)-1;
}
return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x);
} else {
return (signed PY_LONG_LONG)PyLong_AsLongLong(x);
}
} else {
signed PY_LONG_LONG val;
PyObject *tmp = __Pyx_PyNumber_Int(x);
if (!tmp) return (signed PY_LONG_LONG)-1;
val = __Pyx_PyInt_AsSignedLongLong(tmp);
Py_DECREF(tmp);
return val;
}
}
static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno,
CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename) {
PyObject *old_exc, *old_val, *old_tb;
PyObject *ctx;
__Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
#if PY_MAJOR_VERSION < 3
ctx = PyString_FromString(name);
#else
ctx = PyUnicode_FromString(name);
#endif
__Pyx_ErrRestore(old_exc, old_val, old_tb);
if (!ctx) {
PyErr_WriteUnraisable(Py_None);
} else {
PyErr_WriteUnraisable(ctx);
Py_DECREF(ctx);
}
}
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
#if PY_VERSION_HEX < 0x02050000
return PyErr_Warn(NULL, message);
#else
return PyErr_WarnEx(NULL, message, 1);
#endif
}
return 0;
}
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0)
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItemString(dict, "__pyx_vtable__", ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
#ifndef __PYX_HAVE_RT_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 */
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