diff options
| author | Pauli Virtanen <pav@iki.fi> | 2009-05-21 13:37:07 +0000 |
|---|---|---|
| committer | Pauli Virtanen <pav@iki.fi> | 2009-05-21 13:37:07 +0000 |
| commit | bc79e936cbec385ba5222e8e2a87c819e4188d11 (patch) | |
| tree | 6aee1b94a24e7205bf4cc7cd2a4566ad88e38bfd | |
| parent | 258398e9d95a2d266912abdfcc09c236736a6a87 (diff) | |
| download | numpy-bc79e936cbec385ba5222e8e2a87c819e4188d11.tar.gz | |
mtrand: regenerate mtrand.c
| -rw-r--r-- | numpy/random/mtrand/mtrand.c | 7002 |
1 files changed, 2456 insertions, 4546 deletions
diff --git a/numpy/random/mtrand/mtrand.c b/numpy/random/mtrand/mtrand.c index 68b5e515f..c29fbb710 100644 --- a/numpy/random/mtrand/mtrand.c +++ b/numpy/random/mtrand/mtrand.c @@ -1,8 +1,11 @@ -/* Generated by Cython 0.11 on Wed Apr 15 20:37:19 2009 */ +/* Generated by Cython 0.11.2 on Thu May 21 15:38:07 2009 */ #define PY_SSIZE_T_CLEAN #include "Python.h" #include "structmember.h" +#ifndef Py_PYTHON_H + #error Python headers needed to compile C extensions, please install development version of Python. +#endif #ifndef PY_LONG_LONG #define PY_LONG_LONG LONG_LONG #endif @@ -17,6 +20,7 @@ typedef int Py_ssize_t; #define PY_SSIZE_T_MAX INT_MAX #define PY_SSIZE_T_MIN INT_MIN + #define PY_FORMAT_SIZE_T "" #define PyInt_FromSsize_t(z) PyInt_FromLong(z) #define PyInt_AsSsize_t(o) PyInt_AsLong(o) #define PyNumber_Index(o) PyNumber_Int(o) @@ -99,6 +103,9 @@ #ifndef __cdecl #define __cdecl #endif + #ifndef __fastcall + #define __fastcall + #endif #else #define _USE_MATH_DEFINES #endif @@ -131,6 +138,7 @@ #include "randomkit.h" #include "distributions.h" #include "initarray.h" +#define __PYX_USE_C99_COMPLEX defined(_Complex_I) #ifdef __GNUC__ @@ -161,9 +169,8 @@ static int __pyx_skip_dispatch = 0; #endif #define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False)) -static INLINE int __Pyx_PyObject_IsTrue(PyObject* x); -static INLINE PY_LONG_LONG __pyx_PyInt_AsLongLong(PyObject* x); -static INLINE unsigned PY_LONG_LONG __pyx_PyInt_AsUnsignedLongLong(PyObject* x); +static INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x); #if !defined(T_PYSSIZET) #if PY_VERSION_HEX < 0x02050000 @@ -193,24 +200,13 @@ static INLINE unsigned PY_LONG_LONG __pyx_PyInt_AsUnsignedLongLong(PyObject* x); #endif #endif -static INLINE Py_ssize_t __pyx_PyIndex_AsSsize_t(PyObject* b); -static INLINE PyObject * __pyx_PyInt_FromSize_t(size_t); -static INLINE size_t __pyx_PyInt_AsSize_t(PyObject*); +static INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); +static INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); +static INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*); -#define __pyx_PyInt_AsLong(x) (PyInt_CheckExact(x) ? PyInt_AS_LONG(x) : PyInt_AsLong(x)) #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) -static INLINE unsigned char __pyx_PyInt_unsigned_char(PyObject* x); -static INLINE unsigned short __pyx_PyInt_unsigned_short(PyObject* x); -static INLINE char __pyx_PyInt_char(PyObject* x); -static INLINE short __pyx_PyInt_short(PyObject* x); -static INLINE int __pyx_PyInt_int(PyObject* x); -static INLINE long __pyx_PyInt_long(PyObject* x); -static INLINE signed char __pyx_PyInt_signed_char(PyObject* x); -static INLINE signed short __pyx_PyInt_signed_short(PyObject* x); -static INLINE signed int __pyx_PyInt_signed_int(PyObject* x); -static INLINE signed long __pyx_PyInt_signed_long(PyObject* x); -static INLINE long double __pyx_PyInt_long_double(PyObject* x); + #ifdef __GNUC__ /* Test for GCC > 2.95 */ #if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)) @@ -234,6 +230,7 @@ static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; static const char **__pyx_f; + #ifdef CYTHON_REFNANNY typedef struct { void (*INCREF)(void*, PyObject*, int); @@ -346,6 +343,8 @@ static INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int fit return r; } +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ + static INLINE int __Pyx_CheckKeywordStrings(PyObject *kwdict, const char* function_name, int kw_allowed); /*proto*/ @@ -365,8 +364,8 @@ static INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v static INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int fits_long) { if (PyList_CheckExact(o) && ((0 <= i) & (i < PyList_GET_SIZE(o)))) { - Py_DECREF(PyList_GET_ITEM(o, i)); Py_INCREF(v); + Py_DECREF(PyList_GET_ITEM(o, i)); PyList_SET_ITEM(o, i, v); return 1; } @@ -390,11 +389,13 @@ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb); /*proto* static INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ +static INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); + +static INLINE void __Pyx_RaiseTooManyValuesError(void); + static PyObject *__Pyx_UnpackItem(PyObject *, Py_ssize_t index); /*proto*/ static int __Pyx_EndUnpack(PyObject *); /*proto*/ -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ - static INLINE PyObject* __Pyx_PyObject_Append(PyObject* L, PyObject* x) { if (likely(PyList_CheckExact(L))) { if (PyList_Append(L, x) < 0) return NULL; @@ -413,6 +414,36 @@ static INLINE PyObject* __Pyx_PyObject_Append(PyObject* L, PyObject* x) { static INLINE int __Pyx_StrEq(const char *, const char *); /*proto*/ +static INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject *); + +static INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject *); + +static INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject *); + +static INLINE char __Pyx_PyInt_AsChar(PyObject *); + +static INLINE short __Pyx_PyInt_AsShort(PyObject *); + +static INLINE int __Pyx_PyInt_AsInt(PyObject *); + +static INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject *); + +static INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject *); + +static INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject *); + +static INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject *); + +static INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject *); + +static INLINE long __Pyx_PyInt_AsLong(PyObject *); + +static INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject *); + +static INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject *); + +static INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject *); + static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, long size); /*proto*/ static PyObject *__Pyx_ImportModule(const char *name); /*proto*/ @@ -441,7 +472,7 @@ typedef long (*__pyx_t_6mtrand_rk_discnmN)(rk_state *, long, long, long); typedef long (*__pyx_t_6mtrand_rk_discd)(rk_state *, double); -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":519 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":519 * return sum * * cdef class RandomState: # <<<<<<<<<<<<<< @@ -495,12 +526,15 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *, __pyx_t_6mtrand_rk_di static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *, __pyx_t_6mtrand_rk_discd, PyObject *, double); /*proto*/ static PyObject *__pyx_f_6mtrand_discd_array(rk_state *, __pyx_t_6mtrand_rk_discd, PyObject *, PyArrayObject *); /*proto*/ static double __pyx_f_6mtrand_kahan_sum(double *, long); /*proto*/ - +#define __Pyx_MODULE_NAME "mtrand" +int __pyx_module_is_main_mtrand = 0; /* Implementation of mtrand */ static PyObject *__pyx_int_624; static PyObject *__pyx_int_0; static PyObject *__pyx_int_1; +static char __pyx_k___main__[] = "__main__"; +static PyObject *__pyx_kp___main__; static char __pyx_k___init__[] = "__init__"; static PyObject *__pyx_kp___init__; static char __pyx_k___dealloc__[] = "__dealloc__"; @@ -952,7 +986,7 @@ static char __pyx_k_127[] = "mean and cov must have same length"; static PyObject *__pyx_kp_129; static char __pyx_k_129[] = "sum(pvals[:-1]) > 1.0"; -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":125 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":125 * import numpy as np * * cdef object cont0_array(rk_state *state, rk_cont0 func, object size): # <<<<<<<<<<<<<< @@ -971,22 +1005,21 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("cont0_array"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":131 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":131 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":132 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":132 * * if size is None: * return func(state) # <<<<<<<<<<<<<< @@ -994,18 +1027,16 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 * array = <ndarray>np.empty(size, np.float64) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyFloat_FromDouble(__pyx_v_func(__pyx_v_state)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 132; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":134 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":134 * return func(state) * else: * array = <ndarray>np.empty(size, np.float64) # <<<<<<<<<<<<<< @@ -1014,17 +1045,14 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_19); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -1033,21 +1061,16 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":135 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":135 * else: * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -1056,7 +1079,7 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":136 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":136 * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -1065,16 +1088,17 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":137 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":137 * length = PyArray_SIZE(array) * array_data = <double *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":138 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":138 * array_data = <double *>array.data * for i from 0 <= i < length: * array_data[i] = func(state) # <<<<<<<<<<<<<< @@ -1084,7 +1108,7 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":139 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":139 * for i from 0 <= i < length: * array_data[i] = func(state) * return array # <<<<<<<<<<<<<< @@ -1114,7 +1138,7 @@ static PyObject *__pyx_f_6mtrand_cont0_array(rk_state *__pyx_v_state, __pyx_t_6 return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":142 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":142 * * * cdef object cont1_array_sc(rk_state *state, rk_cont1 func, object size, double a): # <<<<<<<<<<<<<< @@ -1133,22 +1157,21 @@ static PyObject *__pyx_f_6mtrand_cont1_array_sc(rk_state *__pyx_v_state, __pyx_ PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("cont1_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":148 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":148 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, a) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":149 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":149 * * if size is None: * return func(state, a) # <<<<<<<<<<<<<< @@ -1156,18 +1179,16 @@ static PyObject *__pyx_f_6mtrand_cont1_array_sc(rk_state *__pyx_v_state, __pyx_ * array = <ndarray>np.empty(size, np.float64) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyFloat_FromDouble(__pyx_v_func(__pyx_v_state, __pyx_v_a)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":151 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":151 * return func(state, a) * else: * array = <ndarray>np.empty(size, np.float64) # <<<<<<<<<<<<<< @@ -1176,17 +1197,14 @@ static PyObject *__pyx_f_6mtrand_cont1_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_19); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -1195,21 +1213,16 @@ static PyObject *__pyx_f_6mtrand_cont1_array_sc(rk_state *__pyx_v_state, __pyx_ PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":152 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":152 * else: * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -1218,7 +1231,7 @@ static PyObject *__pyx_f_6mtrand_cont1_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_length = PyArray_SIZE(arrayObject); 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__pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":183 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":183 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -1522,7 +1514,7 @@ static PyObject *__pyx_f_6mtrand_cont1_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oa_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":184 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":184 * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, oa_data[0]) # <<<<<<<<<<<<<< @@ -1531,7 +1523,7 @@ static PyObject *__pyx_f_6mtrand_cont1_array(rk_state *__pyx_v_state, __pyx_t_6 */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_oa_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":185 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":185 * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, oa_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) # <<<<<<<<<<<<<< @@ -1540,11 +1532,10 @@ static PyObject *__pyx_f_6mtrand_cont1_array(rk_state *__pyx_v_state, __pyx_t_6 */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 1); } - /* __pyx_t_5 released */ } __pyx_L3:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":186 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":186 * array_data[i] = func(state, oa_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) * return array # <<<<<<<<<<<<<< @@ -1561,8 +1552,8 @@ static PyObject *__pyx_f_6mtrand_cont1_array(rk_state *__pyx_v_state, __pyx_t_6 __pyx_L1_error:; __Pyx_XDECREF(__pyx_1); __Pyx_XDECREF(__pyx_t_2); - __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); + __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("mtrand.cont1_array"); __pyx_r = 0; __pyx_L0:; @@ -1574,7 +1565,7 @@ static PyObject *__pyx_f_6mtrand_cont1_array(rk_state *__pyx_v_state, __pyx_t_6 return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":188 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":188 * return array * * cdef object cont2_array_sc(rk_state *state, rk_cont2 func, object size, double a, # <<<<<<<<<<<<<< @@ -1593,22 +1584,21 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("cont2_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":195 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":195 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, a, b) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":196 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":196 * * if size is None: * return func(state, a, b) # <<<<<<<<<<<<<< @@ -1616,18 +1606,16 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ * array = <ndarray>np.empty(size, np.float64) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyFloat_FromDouble(__pyx_v_func(__pyx_v_state, __pyx_v_a, __pyx_v_b)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":198 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":198 * return func(state, a, b) * else: * array = <ndarray>np.empty(size, np.float64) # <<<<<<<<<<<<<< @@ -1636,17 +1624,14 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_19); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -1655,21 +1640,16 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":199 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":199 * else: * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -1678,7 +1658,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":200 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":200 * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -1687,16 +1667,17 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":201 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":201 * length = PyArray_SIZE(array) * array_data = <double *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state, a, b) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":202 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":202 * array_data = <double *>array.data * for i from 0 <= i < length: * array_data[i] = func(state, a, b) # <<<<<<<<<<<<<< @@ -1706,7 +1687,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, __pyx_v_a, __pyx_v_b); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":203 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":203 * for i from 0 <= i < length: * array_data[i] = func(state, a, b) * return array # <<<<<<<<<<<<<< @@ -1736,7 +1717,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array_sc(rk_state *__pyx_v_state, __pyx_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":206 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":206 * * * cdef object cont2_array(rk_state *state, rk_cont2 func, object size, # <<<<<<<<<<<<<< @@ -1762,51 +1743,45 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_multi = ((PyArrayMultiIterObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":216 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":216 * cdef broadcast multi * * if size is None: # <<<<<<<<<<<<<< * multi = <broadcast> PyArray_MultiIterNew(2, <void *>oa, <void *>ob) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":217 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":217 * * if size is None: * multi = <broadcast> PyArray_MultiIterNew(2, <void *>oa, <void *>ob) # <<<<<<<<<<<<<< * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) * array_data = <double *>array.data */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_MultiIterNew(2, ((void *)__pyx_v_oa), ((void *)__pyx_v_ob)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":218 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":218 * if size is None: * multi = <broadcast> PyArray_MultiIterNew(2, <void *>oa, <void *>ob) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) # <<<<<<<<<<<<<< * array_data = <double *>array.data * for i from 0 <= i < multi.size: */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_SimpleNew(__pyx_v_multi->nd, __pyx_v_multi->dimensions, NPY_DOUBLE); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 218; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":219 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":219 * multi = <broadcast> PyArray_MultiIterNew(2, <void *>oa, <void *>ob) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -1815,18 +1790,17 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":220 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":220 * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) * array_data = <double *>array.data * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":221 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":221 * array_data = <double *>array.data * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) # <<<<<<<<<<<<<< @@ -1835,7 +1809,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oa_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 0)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":222 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":222 * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -1844,7 +1818,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_ob_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":223 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":223 * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, oa_data[0], ob_data[0]) # <<<<<<<<<<<<<< @@ -1853,7 +1827,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_oa_data[0]), (__pyx_v_ob_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":224 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":224 * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, oa_data[0], ob_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -1862,12 +1836,11 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ PyArray_MultiIter_NEXT(__pyx_v_multi); 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__pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_GetAttr(__pyx_1, __pyx_kp_19); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(__pyx_v_size); @@ -1895,21 +1865,16 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_5 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":227 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":227 * else: * array = <ndarray>np.empty(size, np.float64) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -1918,72 +1883,63 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":228 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":228 * array = <ndarray>np.empty(size, np.float64) * array_data = <double *>array.data * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>oa, <void *>ob) # <<<<<<<<<<<<<< * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyArray_MultiIterNew(3, ((void *)arrayObject), ((void *)__pyx_v_oa), ((void *)__pyx_v_ob)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 228; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":229 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":229 * array_data = <double *>array.data * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>oa, <void *>ob) * if (multi.size != PyArray_SIZE(array)): # <<<<<<<<<<<<<< * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_multi->size != PyArray_SIZE(arrayObject)); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":230 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":230 * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>oa, <void *>ob) * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") # <<<<<<<<<<<<<< * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_21); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_21); __Pyx_GIVEREF(__pyx_kp_21); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":231 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":231 * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":232 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":232 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -1992,7 +1948,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oa_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":233 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":233 * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -2001,7 +1957,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_ob_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":234 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":234 * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, oa_data[0], ob_data[0]) # <<<<<<<<<<<<<< @@ -2010,7 +1966,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_oa_data[0]), (__pyx_v_ob_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":235 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":235 * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, oa_data[0], ob_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) # <<<<<<<<<<<<<< @@ -2019,7 +1975,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 1); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":236 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":236 * array_data[i] = func(state, oa_data[0], ob_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) * PyArray_MultiIter_NEXTi(multi, 2) # <<<<<<<<<<<<<< @@ -2028,11 +1984,10 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 2); } - /* __pyx_t_3 released */ } __pyx_L3:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":237 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":237 * PyArray_MultiIter_NEXTi(multi, 1) * PyArray_MultiIter_NEXTi(multi, 2) * return array # <<<<<<<<<<<<<< @@ -2061,7 +2016,7 @@ static PyObject *__pyx_f_6mtrand_cont2_array(rk_state *__pyx_v_state, __pyx_t_6 return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":239 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":239 * return array * * cdef object cont3_array_sc(rk_state *state, rk_cont3 func, object size, double a, # <<<<<<<<<<<<<< @@ -2080,22 +2035,21 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("cont3_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":247 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":247 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, a, b, c) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":248 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":248 * * if size is None: * return func(state, a, b, c) # <<<<<<<<<<<<<< @@ -2103,18 +2057,16 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ * array = <ndarray>np.empty(size, np.float64) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyFloat_FromDouble(__pyx_v_func(__pyx_v_state, __pyx_v_a, __pyx_v_b, __pyx_v_c)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 248; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":250 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":250 * return func(state, a, b, c) * else: * array = <ndarray>np.empty(size, np.float64) # <<<<<<<<<<<<<< @@ -2123,17 +2075,14 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 250; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 250; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 250; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_19); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 250; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 250; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -2142,21 +2091,16 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 250; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":251 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":251 * else: * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -2165,7 +2109,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":252 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":252 * array = <ndarray>np.empty(size, np.float64) * length = PyArray_SIZE(array) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -2174,16 +2118,17 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":253 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":253 * length = PyArray_SIZE(array) * array_data = <double *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state, a, b, c) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":254 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":254 * array_data = <double *>array.data * for i from 0 <= i < length: * array_data[i] = func(state, a, b, c) # <<<<<<<<<<<<<< @@ -2193,7 +2138,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, __pyx_v_a, __pyx_v_b, __pyx_v_c); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":255 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":255 * for i from 0 <= i < length: * array_data[i] = func(state, a, b, c) * return array # <<<<<<<<<<<<<< @@ -2223,7 +2168,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array_sc(rk_state *__pyx_v_state, __pyx_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":257 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":257 * return array * * cdef object cont3_array(rk_state *state, rk_cont3 func, object size, ndarray oa, # <<<<<<<<<<<<<< @@ -2250,51 +2195,45 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_multi = ((PyArrayMultiIterObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":269 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":269 * cdef broadcast multi * * if size is None: # <<<<<<<<<<<<<< * multi = <broadcast> PyArray_MultiIterNew(3, <void *>oa, <void *>ob, <void *>oc) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":270 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":270 * * if size is None: * multi = <broadcast> PyArray_MultiIterNew(3, <void *>oa, <void *>ob, <void *>oc) # <<<<<<<<<<<<<< * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) * array_data = <double *>array.data */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_MultiIterNew(3, ((void *)__pyx_v_oa), ((void *)__pyx_v_ob), ((void *)__pyx_v_oc)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 270; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":271 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":271 * if size is None: * multi = <broadcast> PyArray_MultiIterNew(3, <void *>oa, <void *>ob, <void *>oc) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) # <<<<<<<<<<<<<< * array_data = <double *>array.data * for i from 0 <= i < multi.size: */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_SimpleNew(__pyx_v_multi->nd, __pyx_v_multi->dimensions, NPY_DOUBLE); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 271; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":272 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":272 * multi = <broadcast> PyArray_MultiIterNew(3, <void *>oa, <void *>ob, <void *>oc) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -2303,18 +2242,17 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":273 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":273 * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_DOUBLE) * array_data = <double *>array.data * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":274 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":274 * array_data = <double *>array.data * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) # <<<<<<<<<<<<<< @@ -2323,7 +2261,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oa_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 0)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":275 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":275 * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -2332,7 +2270,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_ob_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":276 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":276 * oa_data = <double *>PyArray_MultiIter_DATA(multi, 0) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) * oc_data = <double *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -2341,7 +2279,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oc_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":277 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":277 * ob_data = <double *>PyArray_MultiIter_DATA(multi, 1) * oc_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, oa_data[0], ob_data[0], oc_data[0]) # <<<<<<<<<<<<<< @@ -2350,7 +2288,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_oa_data[0]), (__pyx_v_ob_data[0]), (__pyx_v_oc_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":278 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":278 * oc_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, oa_data[0], ob_data[0], oc_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -2359,12 +2297,11 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ PyArray_MultiIter_NEXT(__pyx_v_multi); } - /* __pyx_t_3 released */ goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":280 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":280 * PyArray_MultiIter_NEXT(multi) * else: * array = <ndarray>np.empty(size, np.float64) # <<<<<<<<<<<<<< @@ -2373,17 +2310,14 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 280; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 280; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 280; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_GetAttr(__pyx_1, __pyx_kp_19); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 280; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 280; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(__pyx_v_size); @@ -2392,21 +2326,16 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 280; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_5 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":281 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":281 * else: * array = <ndarray>np.empty(size, np.float64) * array_data = <double *>array.data # <<<<<<<<<<<<<< @@ -2415,72 +2344,63 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_array_data = ((double *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":283 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":283 * array_data = <double *>array.data * multi = <broadcast>PyArray_MultiIterNew(4, <void*>array, <void *>oa, * <void *>ob, <void *>oc) # <<<<<<<<<<<<<< * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyArray_MultiIterNew(4, ((void *)arrayObject), ((void *)__pyx_v_oa), ((void *)__pyx_v_ob), ((void *)__pyx_v_oc)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":284 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":284 * multi = <broadcast>PyArray_MultiIterNew(4, <void*>array, <void *>oa, * <void *>ob, <void *>oc) * if (multi.size != PyArray_SIZE(array)): # <<<<<<<<<<<<<< * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_multi->size != PyArray_SIZE(arrayObject)); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":285 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":285 * <void *>ob, <void *>oc) * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") # <<<<<<<<<<<<<< * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 285; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_22); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_22); __Pyx_GIVEREF(__pyx_kp_22); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 285; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 285; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":286 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":286 * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":287 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":287 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -2489,7 +2409,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oa_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":288 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":288 * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -2498,7 +2418,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_ob_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":289 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":289 * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) * oc_data = <double *>PyArray_MultiIter_DATA(multi, 3) # <<<<<<<<<<<<<< @@ -2507,7 +2427,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oc_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 3)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":290 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":290 * ob_data = <double *>PyArray_MultiIter_DATA(multi, 2) * oc_data = <double *>PyArray_MultiIter_DATA(multi, 3) * array_data[i] = func(state, oa_data[0], ob_data[0], oc_data[0]) # <<<<<<<<<<<<<< @@ -2516,7 +2436,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_oa_data[0]), (__pyx_v_ob_data[0]), (__pyx_v_oc_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":291 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":291 * oc_data = <double *>PyArray_MultiIter_DATA(multi, 3) * array_data[i] = func(state, oa_data[0], ob_data[0], oc_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -2525,11 +2445,10 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 */ PyArray_MultiIter_NEXT(__pyx_v_multi); } - /* __pyx_t_3 released */ } __pyx_L3:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":292 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":292 * array_data[i] = func(state, oa_data[0], ob_data[0], oc_data[0]) * PyArray_MultiIter_NEXT(multi) * return array # <<<<<<<<<<<<<< @@ -2558,7 +2477,7 @@ static PyObject *__pyx_f_6mtrand_cont3_array(rk_state *__pyx_v_state, __pyx_t_6 return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":294 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":294 * return array * * cdef object disc0_array(rk_state *state, rk_disc0 func, object size): # <<<<<<<<<<<<<< @@ -2577,22 +2496,21 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("disc0_array"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":300 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":300 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":301 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":301 * * if size is None: * return func(state) # <<<<<<<<<<<<<< @@ -2600,18 +2518,16 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 * array = <ndarray>np.empty(size, int) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyInt_FromLong(__pyx_v_func(__pyx_v_state)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 301; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":303 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":303 * return func(state) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -2620,11 +2536,9 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 303; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 303; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 303; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_size); @@ -2633,20 +2547,16 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 303; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":304 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":304 * else: * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -2655,7 +2565,7 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":305 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":305 * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -2664,16 +2574,17 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":306 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":306 * length = PyArray_SIZE(array) * array_data = <long *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":307 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":307 * array_data = <long *>array.data * for i from 0 <= i < length: * array_data[i] = func(state) # <<<<<<<<<<<<<< @@ -2683,7 +2594,7 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":308 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":308 * for i from 0 <= i < length: * array_data[i] = func(state) * return array # <<<<<<<<<<<<<< @@ -2713,7 +2624,7 @@ static PyObject *__pyx_f_6mtrand_disc0_array(rk_state *__pyx_v_state, __pyx_t_6 return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":310 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":310 * return array * * cdef object discnp_array_sc(rk_state *state, rk_discnp func, object size, long n, double p): # <<<<<<<<<<<<<< @@ -2732,22 +2643,21 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("discnp_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":316 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":316 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, n, p) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":317 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":317 * * if size is None: * return func(state, n, p) # <<<<<<<<<<<<<< @@ -2755,18 +2665,16 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx * array = <ndarray>np.empty(size, int) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyInt_FromLong(__pyx_v_func(__pyx_v_state, __pyx_v_n, __pyx_v_p)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 317; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":319 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":319 * return func(state, n, p) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -2775,11 +2683,9 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 319; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 319; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 319; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_size); @@ -2788,20 +2694,16 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 319; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":320 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":320 * else: * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -2810,7 +2712,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":321 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":321 * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -2819,16 +2721,17 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":322 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":322 * length = PyArray_SIZE(array) * array_data = <long *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state, n, p) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":323 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":323 * array_data = <long *>array.data * for i from 0 <= i < length: * array_data[i] = func(state, n, p) # <<<<<<<<<<<<<< @@ -2838,7 +2741,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, __pyx_v_n, __pyx_v_p); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":324 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":324 * for i from 0 <= i < length: * array_data[i] = func(state, n, p) * return array # <<<<<<<<<<<<<< @@ -2868,7 +2771,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array_sc(rk_state *__pyx_v_state, __pyx return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":326 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":326 * return array * * cdef object discnp_array(rk_state *state, rk_discnp func, object size, ndarray on, ndarray op): # <<<<<<<<<<<<<< @@ -2894,51 +2797,45 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_multi = ((PyArrayMultiIterObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":335 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":335 * cdef broadcast multi * * if size is None: # <<<<<<<<<<<<<< * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":336 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":336 * * if size is None: * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) # <<<<<<<<<<<<<< * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_MultiIterNew(2, ((void *)__pyx_v_on), ((void *)__pyx_v_op)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 336; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":337 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":337 * if size is None: * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) # <<<<<<<<<<<<<< * array_data = <long *>array.data * for i from 0 <= i < multi.size: */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_SimpleNew(__pyx_v_multi->nd, __pyx_v_multi->dimensions, NPY_LONG); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":338 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":338 * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -2947,18 +2844,17 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":339 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":339 * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":340 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":340 * array_data = <long *>array.data * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) # <<<<<<<<<<<<<< @@ -2967,7 +2863,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_on_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 0)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":341 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":341 * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -2976,7 +2872,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_op_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":342 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":342 * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, on_data[0], op_data[0]) # <<<<<<<<<<<<<< @@ -2985,7 +2881,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_on_data[0]), (__pyx_v_op_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":343 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":343 * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, on_data[0], op_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -2994,12 +2890,11 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ PyArray_MultiIter_NEXT(__pyx_v_multi); } - /* __pyx_t_3 released */ goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":345 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":345 * PyArray_MultiIter_NEXT(multi) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -3008,11 +2903,9 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 345; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 345; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 345; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -3021,20 +2914,16 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_4, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 345; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":346 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":346 * else: * array = <ndarray>np.empty(size, int) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3043,72 +2932,63 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":347 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":347 * array = <ndarray>np.empty(size, int) * array_data = <long *>array.data * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>on, <void *>op) # <<<<<<<<<<<<<< * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyArray_MultiIterNew(3, ((void *)arrayObject), ((void *)__pyx_v_on), ((void *)__pyx_v_op)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 347; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":348 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":348 * array_data = <long *>array.data * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>on, <void *>op) * if (multi.size != PyArray_SIZE(array)): # <<<<<<<<<<<<<< * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_multi->size != PyArray_SIZE(arrayObject)); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":349 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":349 * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>on, <void *>op) * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") # <<<<<<<<<<<<<< * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 349; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(__pyx_kp_23); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_kp_23); __Pyx_GIVEREF(__pyx_kp_23); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 349; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_5 released */ __Pyx_Raise(__pyx_t_4, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 349; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":350 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":350 * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":351 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":351 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -3117,7 +2997,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_on_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":352 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":352 * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -3126,7 +3006,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_op_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":353 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":353 * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, on_data[0], op_data[0]) # <<<<<<<<<<<<<< @@ -3135,7 +3015,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_on_data[0]), (__pyx_v_op_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":354 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":354 * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, on_data[0], op_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) # <<<<<<<<<<<<<< @@ -3144,7 +3024,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 1); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":355 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":355 * array_data[i] = func(state, on_data[0], op_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) * PyArray_MultiIter_NEXTi(multi, 2) # <<<<<<<<<<<<<< @@ -3153,11 +3033,10 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 2); } - /* __pyx_t_3 released */ } __pyx_L3:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":357 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":357 * PyArray_MultiIter_NEXTi(multi, 2) * * return array # <<<<<<<<<<<<<< @@ -3186,7 +3065,7 @@ static PyObject *__pyx_f_6mtrand_discnp_array(rk_state *__pyx_v_state, __pyx_t_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":359 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":359 * return array * * cdef object discdd_array_sc(rk_state *state, rk_discdd func, object size, double n, double p): # <<<<<<<<<<<<<< @@ -3205,22 +3084,21 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("discdd_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":365 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":365 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, n, p) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":366 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":366 * * if size is None: * return func(state, n, p) # <<<<<<<<<<<<<< @@ -3228,18 +3106,16 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx * array = <ndarray>np.empty(size, int) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyInt_FromLong(__pyx_v_func(__pyx_v_state, __pyx_v_n, __pyx_v_p)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":368 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":368 * return func(state, n, p) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -3248,11 +3124,9 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 368; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 368; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 368; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_size); @@ -3261,20 +3135,16 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 368; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":369 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":369 * else: * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -3283,7 +3153,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":370 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":370 * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3292,16 +3162,17 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":371 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":371 * length = PyArray_SIZE(array) * array_data = <long *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state, n, p) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":372 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":372 * array_data = <long *>array.data * for i from 0 <= i < length: * array_data[i] = func(state, n, p) # <<<<<<<<<<<<<< @@ -3311,7 +3182,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, __pyx_v_n, __pyx_v_p); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":373 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":373 * for i from 0 <= i < length: * array_data[i] = func(state, n, p) * return array # <<<<<<<<<<<<<< @@ -3341,7 +3212,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array_sc(rk_state *__pyx_v_state, __pyx return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":375 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":375 * return array * * cdef object discdd_array(rk_state *state, rk_discdd func, object size, ndarray on, ndarray op): # <<<<<<<<<<<<<< @@ -3367,51 +3238,45 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_multi = ((PyArrayMultiIterObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":384 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":384 * cdef broadcast multi * * if size is None: # <<<<<<<<<<<<<< * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":385 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":385 * * if size is None: * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) # <<<<<<<<<<<<<< * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_MultiIterNew(2, ((void *)__pyx_v_on), ((void *)__pyx_v_op)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 385; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":386 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":386 * if size is None: * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) # <<<<<<<<<<<<<< * array_data = <long *>array.data * for i from 0 <= i < multi.size: */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_SimpleNew(__pyx_v_multi->nd, __pyx_v_multi->dimensions, NPY_LONG); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 386; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":387 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":387 * multi = <broadcast> PyArray_MultiIterNew(2, <void *>on, <void *>op) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3420,18 +3285,17 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":388 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":388 * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * on_data = <double *>PyArray_MultiIter_DATA(multi, 0) * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":389 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":389 * array_data = <long *>array.data * for i from 0 <= i < multi.size: * on_data = <double *>PyArray_MultiIter_DATA(multi, 0) # <<<<<<<<<<<<<< @@ -3440,7 +3304,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_on_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 0)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":390 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":390 * for i from 0 <= i < multi.size: * on_data = <double *>PyArray_MultiIter_DATA(multi, 0) * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -3449,7 +3313,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_op_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":391 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":391 * on_data = <double *>PyArray_MultiIter_DATA(multi, 0) * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, on_data[0], op_data[0]) # <<<<<<<<<<<<<< @@ -3458,7 +3322,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_on_data[0]), (__pyx_v_op_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":392 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":392 * op_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, on_data[0], op_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -3467,12 +3331,11 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ PyArray_MultiIter_NEXT(__pyx_v_multi); } - /* __pyx_t_3 released */ goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":394 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":394 * PyArray_MultiIter_NEXT(multi) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -3481,11 +3344,9 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -3494,20 +3355,16 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_4, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 394; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":395 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":395 * else: * array = <ndarray>np.empty(size, int) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3516,72 +3373,63 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":396 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":396 * array = <ndarray>np.empty(size, int) * array_data = <long *>array.data * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>on, <void *>op) # <<<<<<<<<<<<<< * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyArray_MultiIterNew(3, ((void *)arrayObject), ((void *)__pyx_v_on), ((void *)__pyx_v_op)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 396; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":397 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":397 * array_data = <long *>array.data * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>on, <void *>op) * if (multi.size != PyArray_SIZE(array)): # <<<<<<<<<<<<<< * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_multi->size != PyArray_SIZE(arrayObject)); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":398 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":398 * multi = <broadcast>PyArray_MultiIterNew(3, <void*>array, <void *>on, <void *>op) * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") # <<<<<<<<<<<<<< * for i from 0 <= i < multi.size: * on_data = <double *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 398; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(__pyx_kp_24); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_kp_24); __Pyx_GIVEREF(__pyx_kp_24); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 398; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_5 released */ __Pyx_Raise(__pyx_t_4, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 398; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":399 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":399 * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * on_data = <double *>PyArray_MultiIter_DATA(multi, 1) * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":400 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":400 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * on_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -3590,7 +3438,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_on_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":401 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":401 * for i from 0 <= i < multi.size: * on_data = <double *>PyArray_MultiIter_DATA(multi, 1) * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -3599,7 +3447,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ __pyx_v_op_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":402 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":402 * on_data = <double *>PyArray_MultiIter_DATA(multi, 1) * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, on_data[0], op_data[0]) # <<<<<<<<<<<<<< @@ -3608,7 +3456,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_on_data[0]), (__pyx_v_op_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":403 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":403 * op_data = <double *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, on_data[0], op_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) # <<<<<<<<<<<<<< @@ -3617,7 +3465,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 1); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":404 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":404 * array_data[i] = func(state, on_data[0], op_data[0]) * PyArray_MultiIter_NEXTi(multi, 1) * PyArray_MultiIter_NEXTi(multi, 2) # <<<<<<<<<<<<<< @@ -3626,11 +3474,10 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ */ PyArray_MultiIter_NEXTi(__pyx_v_multi, 2); } - /* __pyx_t_3 released */ } __pyx_L3:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":406 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":406 * PyArray_MultiIter_NEXTi(multi, 2) * * return array # <<<<<<<<<<<<<< @@ -3659,7 +3506,7 @@ static PyObject *__pyx_f_6mtrand_discdd_array(rk_state *__pyx_v_state, __pyx_t_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":408 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":408 * return array * * cdef object discnmN_array_sc(rk_state *state, rk_discnmN func, object size, # <<<<<<<<<<<<<< @@ -3678,22 +3525,21 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("discnmN_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":415 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":415 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, n, m, N) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":416 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":416 * * if size is None: * return func(state, n, m, N) # <<<<<<<<<<<<<< @@ -3701,18 +3547,16 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py * array = <ndarray>np.empty(size, int) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyInt_FromLong(__pyx_v_func(__pyx_v_state, __pyx_v_n, __pyx_v_m, __pyx_v_N)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 416; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":418 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":418 * return func(state, n, m, N) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -3721,11 +3565,9 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 418; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 418; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 418; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_size); @@ -3734,20 +3576,16 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 418; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":419 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":419 * else: * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -3756,7 +3594,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":420 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":420 * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3765,16 +3603,17 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":421 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":421 * length = PyArray_SIZE(array) * array_data = <long *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state, n, m, N) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":422 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":422 * array_data = <long *>array.data * for i from 0 <= i < length: * array_data[i] = func(state, n, m, N) # <<<<<<<<<<<<<< @@ -3784,7 +3623,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, __pyx_v_n, __pyx_v_m, __pyx_v_N); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":423 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":423 * for i from 0 <= i < length: * array_data[i] = func(state, n, m, N) * return array # <<<<<<<<<<<<<< @@ -3814,7 +3653,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array_sc(rk_state *__pyx_v_state, __py return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":425 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":425 * return array * * cdef object discnmN_array(rk_state *state, rk_discnmN func, object size, # <<<<<<<<<<<<<< @@ -3841,51 +3680,45 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_multi = ((PyArrayMultiIterObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":436 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":436 * cdef broadcast multi * * if size is None: # <<<<<<<<<<<<<< * multi = <broadcast> PyArray_MultiIterNew(3, <void *>on, <void *>om, <void *>oN) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":437 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":437 * * if size is None: * multi = <broadcast> PyArray_MultiIterNew(3, <void *>on, <void *>om, <void *>oN) # <<<<<<<<<<<<<< * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_MultiIterNew(3, ((void *)__pyx_v_on), ((void *)__pyx_v_om), ((void *)__pyx_v_oN)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 437; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":438 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":438 * if size is None: * multi = <broadcast> PyArray_MultiIterNew(3, <void *>on, <void *>om, <void *>oN) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) # <<<<<<<<<<<<<< * array_data = <long *>array.data * for i from 0 <= i < multi.size: */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_SimpleNew(__pyx_v_multi->nd, __pyx_v_multi->dimensions, NPY_LONG); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 438; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":439 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":439 * multi = <broadcast> PyArray_MultiIterNew(3, <void *>on, <void *>om, <void *>oN) * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3894,18 +3727,17 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":440 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":440 * array = <ndarray> PyArray_SimpleNew(multi.nd, multi.dimensions, NPY_LONG) * array_data = <long *>array.data * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) * om_data = <long *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":441 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":441 * array_data = <long *>array.data * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) # <<<<<<<<<<<<<< @@ -3914,7 +3746,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_on_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 0)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":442 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":442 * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) * om_data = <long *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -3923,7 +3755,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_om_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":443 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":443 * on_data = <long *>PyArray_MultiIter_DATA(multi, 0) * om_data = <long *>PyArray_MultiIter_DATA(multi, 1) * oN_data = <long *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -3932,7 +3764,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_oN_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":444 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":444 * om_data = <long *>PyArray_MultiIter_DATA(multi, 1) * oN_data = <long *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, on_data[0], om_data[0], oN_data[0]) # <<<<<<<<<<<<<< @@ -3941,7 +3773,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_on_data[0]), (__pyx_v_om_data[0]), (__pyx_v_oN_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":445 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":445 * oN_data = <long *>PyArray_MultiIter_DATA(multi, 2) * array_data[i] = func(state, on_data[0], om_data[0], oN_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -3950,12 +3782,11 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ PyArray_MultiIter_NEXT(__pyx_v_multi); } - /* __pyx_t_3 released */ goto __pyx_L3; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":447 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":447 * PyArray_MultiIter_NEXT(multi) * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -3964,11 +3795,9 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 447; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 447; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 447; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_size); @@ -3977,20 +3806,16 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_4, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 447; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":448 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":448 * else: * array = <ndarray>np.empty(size, int) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -3999,72 +3824,63 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":450 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":450 * array_data = <long *>array.data * multi = <broadcast>PyArray_MultiIterNew(4, <void*>array, <void *>on, <void *>om, * <void *>oN) # <<<<<<<<<<<<<< * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyArray_MultiIterNew(4, ((void *)arrayObject), ((void *)__pyx_v_on), ((void *)__pyx_v_om), ((void *)__pyx_v_oN)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 449; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_INCREF(((PyObject *)((PyArrayMultiIterObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)__pyx_v_multi)); __pyx_v_multi = ((PyArrayMultiIterObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":451 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":451 * multi = <broadcast>PyArray_MultiIterNew(4, <void*>array, <void *>on, <void *>om, * <void *>oN) * if (multi.size != PyArray_SIZE(array)): # <<<<<<<<<<<<<< * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_multi->size != PyArray_SIZE(arrayObject)); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":452 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":452 * <void *>oN) * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") # <<<<<<<<<<<<<< * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(__pyx_kp_25); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_kp_25); __Pyx_GIVEREF(__pyx_kp_25); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_5 released */ __Pyx_Raise(__pyx_t_4, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":453 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":453 * if (multi.size != PyArray_SIZE(array)): * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: # <<<<<<<<<<<<<< * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) * om_data = <long *>PyArray_MultiIter_DATA(multi, 2) */ - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_v_multi->size; for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":454 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":454 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -4073,7 +3889,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_on_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":455 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":455 * for i from 0 <= i < multi.size: * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) * om_data = <long *>PyArray_MultiIter_DATA(multi, 2) # <<<<<<<<<<<<<< @@ -4082,7 +3898,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_om_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 2)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":456 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":456 * on_data = <long *>PyArray_MultiIter_DATA(multi, 1) * om_data = <long *>PyArray_MultiIter_DATA(multi, 2) * oN_data = <long *>PyArray_MultiIter_DATA(multi, 3) # <<<<<<<<<<<<<< @@ -4091,7 +3907,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ __pyx_v_oN_data = ((long *)PyArray_MultiIter_DATA(__pyx_v_multi, 3)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":457 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":457 * om_data = <long *>PyArray_MultiIter_DATA(multi, 2) * oN_data = <long *>PyArray_MultiIter_DATA(multi, 3) * array_data[i] = func(state, on_data[0], om_data[0], oN_data[0]) # <<<<<<<<<<<<<< @@ -4100,7 +3916,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_on_data[0]), (__pyx_v_om_data[0]), (__pyx_v_oN_data[0])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":458 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":458 * oN_data = <long *>PyArray_MultiIter_DATA(multi, 3) * array_data[i] = func(state, on_data[0], om_data[0], oN_data[0]) * PyArray_MultiIter_NEXT(multi) # <<<<<<<<<<<<<< @@ -4109,11 +3925,10 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t */ PyArray_MultiIter_NEXT(__pyx_v_multi); } - /* __pyx_t_3 released */ } __pyx_L3:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":460 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":460 * PyArray_MultiIter_NEXT(multi) * * return array # <<<<<<<<<<<<<< @@ -4142,7 +3957,7 @@ static PyObject *__pyx_f_6mtrand_discnmN_array(rk_state *__pyx_v_state, __pyx_t return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":462 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":462 * return array * * cdef object discd_array_sc(rk_state *state, rk_discd func, object size, double a): # <<<<<<<<<<<<<< @@ -4161,22 +3976,21 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; + long __pyx_t_5; __Pyx_SetupRefcountContext("discd_array_sc"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":468 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":468 * cdef long i * * if size is None: # <<<<<<<<<<<<<< * return func(state, a) * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":469 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":469 * * if size is None: * return func(state, a) # <<<<<<<<<<<<<< @@ -4184,18 +3998,16 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ * array = <ndarray>np.empty(size, int) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyInt_FromLong(__pyx_v_func(__pyx_v_state, __pyx_v_a)); 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__Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 471; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_size); @@ -4217,20 +4027,16 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 471; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":472 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":472 * else: * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -4239,7 +4045,7 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":473 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":473 * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -4248,16 +4054,17 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":474 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":474 * length = PyArray_SIZE(array) * array_data = <long *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = func(state, a) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_5 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":475 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":475 * array_data = <long *>array.data * for i from 0 <= i < length: * array_data[i] = func(state, a) # <<<<<<<<<<<<<< @@ -4267,7 +4074,7 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, __pyx_v_a); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":476 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":476 * for i from 0 <= i < length: * array_data[i] = func(state, a) * return array # <<<<<<<<<<<<<< @@ -4297,7 +4104,7 @@ static PyObject *__pyx_f_6mtrand_discd_array_sc(rk_state *__pyx_v_state, __pyx_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":478 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":478 * return array * * cdef object discd_array(rk_state *state, rk_discd func, object size, ndarray oa): # <<<<<<<<<<<<<< @@ -4317,43 +4124,39 @@ static PyObject *__pyx_f_6mtrand_discd_array(rk_state *__pyx_v_state, __pyx_t_6 PyObject *__pyx_1 = 0; int __pyx_t_1; PyObject *__pyx_t_2 = NULL; - PyObject *__pyx_t_3 = NULL; + npy_intp __pyx_t_3; PyObject *__pyx_t_4 = NULL; - npy_intp __pyx_t_5; + PyObject *__pyx_t_5 = NULL; __Pyx_SetupRefcountContext("discd_array"); arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_multi = ((PyArrayMultiIterObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_itera = ((PyArrayIterObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":487 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":487 * cdef flatiter itera * * if size is None: # <<<<<<<<<<<<<< * array = <ndarray>PyArray_SimpleNew(oa.nd, oa.dimensions, NPY_LONG) * length = PyArray_SIZE(array) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":488 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":488 * * if size is None: * array = <ndarray>PyArray_SimpleNew(oa.nd, oa.dimensions, NPY_LONG) # <<<<<<<<<<<<<< * length = PyArray_SIZE(array) * array_data = <long *>array.data */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_SimpleNew(__pyx_v_oa->nd, __pyx_v_oa->dimensions, NPY_LONG); 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- for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_5; __pyx_v_i++) { + __pyx_t_3 = __pyx_v_multi->size; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":502 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":502 * raise ValueError("size is not compatible with inputs") * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) # <<<<<<<<<<<<<< @@ -4536,7 +4323,7 @@ static PyObject *__pyx_f_6mtrand_discd_array(rk_state *__pyx_v_state, __pyx_t_6 */ __pyx_v_oa_data = ((double *)PyArray_MultiIter_DATA(__pyx_v_multi, 1)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":503 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":503 * for i from 0 <= i < multi.size: * oa_data = <double *>PyArray_MultiIter_DATA(multi, 1) * array_data[i] = func(state, oa_data[0]) # <<<<<<<<<<<<<< @@ -4545,7 +4332,7 @@ static PyObject *__pyx_f_6mtrand_discd_array(rk_state *__pyx_v_state, __pyx_t_6 */ (__pyx_v_array_data[__pyx_v_i]) = __pyx_v_func(__pyx_v_state, (__pyx_v_oa_data[0])); 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- /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":512 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":512 * sum = darr[0] * c = 0.0 * for i from 1 <= i < n: # <<<<<<<<<<<<<< * y = darr[i] - c * t = sum + y */ - for (__pyx_v_i = 1; __pyx_v_i < __pyx_v_n; __pyx_v_i++) { + __pyx_t_1 = __pyx_v_n; + for (__pyx_v_i = 1; __pyx_v_i < __pyx_t_1; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":513 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":513 * c = 0.0 * for i from 1 <= i < n: * y = darr[i] - c # <<<<<<<<<<<<<< @@ -4641,7 +4429,7 @@ static double __pyx_f_6mtrand_kahan_sum(double *__pyx_v_darr, long __pyx_v_n) { */ __pyx_v_y = ((__pyx_v_darr[__pyx_v_i]) - __pyx_v_c); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":514 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":514 * for i from 1 <= i < n: * y = darr[i] - c * t = sum + y # <<<<<<<<<<<<<< @@ -4650,7 +4438,7 @@ static double __pyx_f_6mtrand_kahan_sum(double *__pyx_v_darr, long __pyx_v_n) { */ __pyx_v_t = (__pyx_v_sum + __pyx_v_y); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":515 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":515 * y = darr[i] - c * t = sum + y * c = (t-sum) - y # <<<<<<<<<<<<<< @@ -4659,7 +4447,7 @@ static double __pyx_f_6mtrand_kahan_sum(double *__pyx_v_darr, long __pyx_v_n) { */ __pyx_v_c = ((__pyx_v_t - __pyx_v_sum) - __pyx_v_y); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":516 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":516 * t = sum + y * c = (t-sum) - y * sum = t # <<<<<<<<<<<<<< @@ -4669,7 +4457,7 @@ static double __pyx_f_6mtrand_kahan_sum(double *__pyx_v_darr, long __pyx_v_n) { __pyx_v_sum = __pyx_v_t; } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":517 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":517 * c = (t-sum) - y * sum = t * return sum # <<<<<<<<<<<<<< @@ -4685,7 +4473,7 @@ static double __pyx_f_6mtrand_kahan_sum(double *__pyx_v_darr, long __pyx_v_n) { return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":546 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":546 * cdef rk_state *internal_state * * def __init__(self, seed=None): # <<<<<<<<<<<<<< @@ -4738,7 +4526,7 @@ static int __pyx_pf_6mtrand_11RandomState___init__(PyObject *__pyx_v_self, PyObj return -1; __pyx_L4_argument_unpacking_done:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":547 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":547 * * def __init__(self, seed=None): * self.internal_state = <rk_state*>PyMem_Malloc(sizeof(rk_state)) # <<<<<<<<<<<<<< @@ -4747,31 +4535,25 @@ static int __pyx_pf_6mtrand_11RandomState___init__(PyObject *__pyx_v_self, PyObj */ ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state = ((rk_state *)PyMem_Malloc((sizeof(rk_state)))); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":549 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":549 * self.internal_state = <rk_state*>PyMem_Malloc(sizeof(rk_state)) * * self.seed(seed) # <<<<<<<<<<<<<< * * def __dealloc__(self): */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_seed); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_v_seed); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_seed); __Pyx_GIVEREF(__pyx_v_seed); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_1 released */ - /* __pyx_t_2 released */ __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __pyx_r = 0; goto __pyx_L0; @@ -4786,7 +4568,7 @@ static int __pyx_pf_6mtrand_11RandomState___init__(PyObject *__pyx_v_self, PyObj return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":551 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":551 * self.seed(seed) * * def __dealloc__(self): # <<<<<<<<<<<<<< @@ -4799,19 +4581,17 @@ static void __pyx_pf_6mtrand_11RandomState___dealloc__(PyObject *__pyx_v_self) { int __pyx_t_1; __Pyx_SetupRefcountContext("__dealloc__"); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":552 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":552 * * def __dealloc__(self): * if self.internal_state != NULL: # <<<<<<<<<<<<<< * PyMem_Free(self.internal_state) * self.internal_state = NULL */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state != NULL); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":553 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":553 * def __dealloc__(self): * if self.internal_state != NULL: * PyMem_Free(self.internal_state) # <<<<<<<<<<<<<< @@ -4820,7 +4600,7 @@ static void __pyx_pf_6mtrand_11RandomState___dealloc__(PyObject *__pyx_v_self) { */ PyMem_Free(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":554 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":554 * if self.internal_state != NULL: * PyMem_Free(self.internal_state) * self.internal_state = NULL # <<<<<<<<<<<<<< @@ -4835,7 +4615,7 @@ static void __pyx_pf_6mtrand_11RandomState___dealloc__(PyObject *__pyx_v_self) { __Pyx_FinishRefcountContext(); } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":556 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":556 * self.internal_state = NULL * * def seed(self, seed=None): # <<<<<<<<<<<<<< @@ -4896,19 +4676,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_seed(PyObject *__pyx_v_self, PyO arrayObject_obj = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_iseed = Py_None; __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":570 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":570 * cdef rk_error errcode * cdef ndarray obj "arrayObject_obj" * if seed is None: # <<<<<<<<<<<<<< * errcode = rk_randomseed(self.internal_state) * elif type(seed) is int: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_seed == Py_None); 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PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_seed); __Pyx_GIVEREF(__pyx_v_seed); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(((PyObject *)((PyObject*)&PyType_Type)), ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 572; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_t_3 == ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":573 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":573 * errcode = rk_randomseed(self.internal_state) * elif type(seed) is int: * rk_seed(seed, self.internal_state) # <<<<<<<<<<<<<< * elif isinstance(seed, np.integer): * iseed = int(seed) */ - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyInt_AsUnsignedLongMask(__pyx_v_seed); if (unlikely((__pyx_t_4 == (unsigned long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 573; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __Pyx_PyInt_AsUnsignedLong(__pyx_v_seed); if (unlikely((__pyx_t_4 == (unsigned long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 573; __pyx_clineno = __LINE__; goto __pyx_L1_error;} rk_seed(__pyx_t_4, ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state); - /* __pyx_t_4 released */ goto __pyx_L6; } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":574 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":574 * elif type(seed) is int: * rk_seed(seed, self.internal_state) * elif isinstance(seed, np.integer): # <<<<<<<<<<<<<< @@ -4967,72 +4737,60 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_seed(PyObject *__pyx_v_self, PyO */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 574; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_integer); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 574; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_IsInstance(__pyx_v_seed, __pyx_t_3); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 574; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":575 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":575 * rk_seed(seed, self.internal_state) * elif isinstance(seed, np.integer): * iseed = int(seed) # <<<<<<<<<<<<<< * rk_seed(iseed, self.internal_state) * else: */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_seed); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_seed); __Pyx_GIVEREF(__pyx_v_seed); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject*)&PyInt_Type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __Pyx_DECREF(__pyx_v_iseed); __pyx_v_iseed = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":576 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":576 * elif isinstance(seed, np.integer): * iseed = int(seed) * rk_seed(iseed, self.internal_state) # <<<<<<<<<<<<<< * else: * obj = <ndarray>PyArray_ContiguousFromObject(seed, NPY_LONG, 1, 1) */ - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyInt_AsUnsignedLongMask(__pyx_v_iseed); if (unlikely((__pyx_t_4 == (unsigned long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __Pyx_PyInt_AsUnsignedLong(__pyx_v_iseed); if (unlikely((__pyx_t_4 == (unsigned long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} rk_seed(__pyx_t_4, ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state); - /* __pyx_t_4 released */ goto __pyx_L6; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":578 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":578 * rk_seed(iseed, self.internal_state) * else: * obj = <ndarray>PyArray_ContiguousFromObject(seed, NPY_LONG, 1, 1) # <<<<<<<<<<<<<< * init_by_array(self.internal_state, <unsigned long *>(obj.data), * obj.dimensions[0]) */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_ContiguousFromObject(__pyx_v_seed, NPY_LONG, 1, 1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 578; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject_obj)); arrayObject_obj = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":580 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":580 * obj = <ndarray>PyArray_ContiguousFromObject(seed, NPY_LONG, 1, 1) * init_by_array(self.internal_state, <unsigned long *>(obj.data), * obj.dimensions[0]) # <<<<<<<<<<<<<< @@ -5059,7 +4817,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_seed(PyObject *__pyx_v_self, PyO return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":582 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":582 * obj.dimensions[0]) * * def get_state(self): # <<<<<<<<<<<<<< @@ -5080,7 +4838,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self __Pyx_SetupRefcountContext("get_state"); arrayObject_state = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":605 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":605 * """ * cdef ndarray state "arrayObject_state" * state = <ndarray>np.empty(624, np.uint) # <<<<<<<<<<<<<< @@ -5089,17 +4847,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 605; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 605; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 605; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_uint); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 605; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 605; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_int_624); @@ -5108,21 +4863,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 605; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_1 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)arrayObject_state)); arrayObject_state = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":606 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":606 * cdef ndarray state "arrayObject_state" * state = <ndarray>np.empty(624, np.uint) * memcpy(<void*>(state.data), <void*>(self.internal_state.key), 624*sizeof(long)) # <<<<<<<<<<<<<< @@ -5131,7 +4881,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self */ memcpy(((void *)arrayObject_state->data), ((void *)((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->key), (624 * (sizeof(long)))); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":607 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":607 * state = <ndarray>np.empty(624, np.uint) * memcpy(<void*>(state.data), <void*>(self.internal_state.key), 624*sizeof(long)) * state = <ndarray>np.asarray(state, np.uint32) # <<<<<<<<<<<<<< @@ -5140,17 +4890,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 607; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_asarray); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 607; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 607; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_27); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 607; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_1 allocated */ __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 607; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __Pyx_INCREF(((PyObject *)arrayObject_state)); @@ -5159,21 +4906,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 607; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_1 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)arrayObject_state)); arrayObject_state = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":608 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":608 * memcpy(<void*>(state.data), <void*>(self.internal_state.key), 624*sizeof(long)) * state = <ndarray>np.asarray(state, np.uint32) * return ('MT19937', state, self.internal_state.pos, # <<<<<<<<<<<<<< @@ -5181,24 +4923,20 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self * */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyInt_FromLong(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->pos); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 608; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":609 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":609 * state = <ndarray>np.asarray(state, np.uint32) * return ('MT19937', state, self.internal_state.pos, * self.internal_state.has_gauss, self.internal_state.gauss) # <<<<<<<<<<<<<< * * def set_state(self, state): */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyInt_FromLong(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->has_gauss); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 609; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyFloat_FromDouble(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->gauss); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 609; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(5); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 608; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_28); @@ -5216,12 +4954,8 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self __pyx_t_3 = 0; __pyx_t_1 = 0; __pyx_t_2 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_1 released */ - /* __pyx_t_2 released */ __pyx_r = ((PyObject *)__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -5241,7 +4975,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_get_state(PyObject *__pyx_v_self return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":611 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":611 * self.internal_state.has_gauss, self.internal_state.gauss) * * def set_state(self, state): # <<<<<<<<<<<<<< @@ -5269,7 +5003,9 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self PyObject *__pyx_t_3 = NULL; int __pyx_t_4; Py_ssize_t __pyx_t_5; - double __pyx_t_6; + PyObject *__pyx_t_6 = NULL; + PyObject *__pyx_t_7 = NULL; + double __pyx_t_8; __Pyx_SetupRefcountContext("set_state"); arrayObject_obj = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_algorithm_name = Py_None; __Pyx_INCREF(Py_None); @@ -5277,7 +5013,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __pyx_v_has_gauss = Py_None; __Pyx_INCREF(Py_None); __pyx_v_cached_gaussian = Py_None; __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":647 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":647 * cdef ndarray obj "arrayObject_obj" * cdef int pos * algorithm_name = state[0] # <<<<<<<<<<<<<< @@ -5290,50 +5026,42 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __pyx_v_algorithm_name = __pyx_1; __pyx_1 = 0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":648 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":648 * cdef int pos * algorithm_name = state[0] * if algorithm_name != 'MT19937': # <<<<<<<<<<<<<< * raise ValueError("algorithm must be 'MT19937'") * key, pos = state[1:3] */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_RichCompare(__pyx_v_algorithm_name, __pyx_kp_29, Py_NE); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 648; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* __pyx_t_1 released */ if (__pyx_t_2) { - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":649 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":649 * algorithm_name = state[0] * if algorithm_name != 'MT19937': * raise ValueError("algorithm must be 'MT19937'") # <<<<<<<<<<<<<< * key, pos = state[1:3] * if len(state) == 3: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __Pyx_INCREF(__pyx_kp_30); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_30); __Pyx_GIVEREF(__pyx_kp_30); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; - /* __pyx_t_1 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 649; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":650 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":650 * if algorithm_name != 'MT19937': * raise ValueError("algorithm must be 'MT19937'") * key, pos = state[1:3] # <<<<<<<<<<<<<< @@ -5342,19 +5070,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self */ __pyx_1 = PySequence_GetSlice(__pyx_v_state, 1, 3); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - if (PyTuple_CheckExact(__pyx_1) && PyTuple_GET_SIZE(__pyx_1) == 2) { + if (PyTuple_CheckExact(__pyx_1) && likely(PyTuple_GET_SIZE(__pyx_1) == 2)) { PyObject* tuple = __pyx_1; __pyx_3 = PyTuple_GET_ITEM(tuple, 0); __Pyx_INCREF(__pyx_3); __pyx_4 = PyTuple_GET_ITEM(tuple, 1); __Pyx_INCREF(__pyx_4); - /* __pyx_t_4 allocated */ - __pyx_t_4 = __pyx_PyInt_int(__pyx_4); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __Pyx_PyInt_AsInt(__pyx_4); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_4); __pyx_4 = 0; __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __Pyx_DECREF(__pyx_v_key); __pyx_v_key = __pyx_3; __pyx_3 = 0; __pyx_v_pos = __pyx_t_4; - /* __pyx_t_4 released */ } else { __pyx_2 = PyObject_GetIter(__pyx_1); if (unlikely(!__pyx_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_2); @@ -5363,8 +5089,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __Pyx_GOTREF(__pyx_3); __pyx_4 = __Pyx_UnpackItem(__pyx_2, 1); if (unlikely(!__pyx_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_4); - /* __pyx_t_4 allocated */ - __pyx_t_4 = __pyx_PyInt_int(__pyx_4); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __Pyx_PyInt_AsInt(__pyx_4); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_4); __pyx_4 = 0; if (__Pyx_EndUnpack(__pyx_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_2); __pyx_2 = 0; @@ -5372,25 +5097,20 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __pyx_v_key = __pyx_3; __pyx_3 = 0; __pyx_v_pos = __pyx_t_4; - /* __pyx_t_4 released */ } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":651 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":651 * raise ValueError("algorithm must be 'MT19937'") * key, pos = state[1:3] * if len(state) == 3: # <<<<<<<<<<<<<< * has_gauss = 0 * cached_gaussian = 0.0 */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Length(__pyx_v_state); if (unlikely(__pyx_t_5 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 651; __pyx_clineno = __LINE__; goto __pyx_L1_error;} - /* __pyx_t_2 allocated */ __pyx_t_2 = (__pyx_t_5 == 3); - /* __pyx_t_5 released */ if (__pyx_t_2) { - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":652 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":652 * key, pos = state[1:3] * if len(state) == 3: * has_gauss = 0 # <<<<<<<<<<<<<< @@ -5401,25 +5121,23 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __Pyx_DECREF(__pyx_v_has_gauss); __pyx_v_has_gauss = __pyx_int_0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":653 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":653 * if len(state) == 3: * has_gauss = 0 * cached_gaussian = 0.0 # <<<<<<<<<<<<<< * else: * has_gauss, cached_gaussian = state[3:5] */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyFloat_FromDouble(0.0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_v_cached_gaussian); __pyx_v_cached_gaussian = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L6; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":655 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":655 * cached_gaussian = 0.0 * else: * has_gauss, cached_gaussian = state[3:5] # <<<<<<<<<<<<<< @@ -5428,7 +5146,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self */ __pyx_4 = PySequence_GetSlice(__pyx_v_state, 3, 5); if (unlikely(!__pyx_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_4); - if (PyTuple_CheckExact(__pyx_4) && PyTuple_GET_SIZE(__pyx_4) == 2) { + if (PyTuple_CheckExact(__pyx_4) && likely(PyTuple_GET_SIZE(__pyx_4) == 2)) { PyObject* tuple = __pyx_4; __pyx_2 = PyTuple_GET_ITEM(tuple, 0); __Pyx_INCREF(__pyx_2); __pyx_3 = PyTuple_GET_ITEM(tuple, 1); __Pyx_INCREF(__pyx_3); @@ -5459,7 +5177,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":656 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":656 * else: * has_gauss, cached_gaussian = state[3:5] * try: # <<<<<<<<<<<<<< @@ -5474,21 +5192,19 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __Pyx_XGOTREF(__pyx_save_exc_tb); /*try:*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":657 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":657 * has_gauss, cached_gaussian = state[3:5] * try: * obj = <ndarray>PyArray_ContiguousFromObject(key, NPY_ULONG, 1, 1) # <<<<<<<<<<<<<< * except TypeError: * # compatibility -- could be an older pickle */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyArray_ContiguousFromObject(__pyx_v_key, NPY_ULONG, 1, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L7_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)arrayObject_obj)); arrayObject_obj = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ } __Pyx_XDECREF(__pyx_save_exc_type); __pyx_save_exc_type = 0; __Pyx_XDECREF(__pyx_save_exc_value); __pyx_save_exc_value = 0; @@ -5502,7 +5218,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":658 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":658 * try: * obj = <ndarray>PyArray_ContiguousFromObject(key, NPY_ULONG, 1, 1) * except TypeError: # <<<<<<<<<<<<<< @@ -5512,29 +5228,27 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __pyx_5 = PyErr_ExceptionMatches(__pyx_builtin_TypeError); if (__pyx_5) { __Pyx_AddTraceback("mtrand.set_state"); - if (__Pyx_GetException(&__pyx_4, &__pyx_1, &__pyx_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 658; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;} - __Pyx_GOTREF(__pyx_4); - __Pyx_GOTREF(__pyx_1); - __Pyx_GOTREF(__pyx_2); + if (__Pyx_GetException(&__pyx_t_3, &__pyx_t_1, &__pyx_t_6) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 658; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;} + __Pyx_GOTREF(__pyx_t_3); + __Pyx_GOTREF(__pyx_t_1); + __Pyx_GOTREF(__pyx_t_6); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":660 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":660 * except TypeError: * # compatibility -- could be an older pickle * obj = <ndarray>PyArray_ContiguousFromObject(key, NPY_LONG, 1, 1) # <<<<<<<<<<<<<< * if obj.dimensions[0] != 624: * raise ValueError("state must be 624 longs") */ - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyArray_ContiguousFromObject(__pyx_v_key, NPY_LONG, 1, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 660; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;} - __Pyx_GOTREF(__pyx_t_3); - __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); + __pyx_t_7 = PyArray_ContiguousFromObject(__pyx_v_key, NPY_LONG, 1, 1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 660; __pyx_clineno = __LINE__; goto __pyx_L9_except_error;} + __Pyx_GOTREF(__pyx_t_7); + __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_7))); __Pyx_DECREF(((PyObject *)arrayObject_obj)); - arrayObject_obj = ((PyArrayObject *)__pyx_t_3); + arrayObject_obj = ((PyArrayObject *)__pyx_t_7); + __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - __Pyx_DECREF(__pyx_4); __pyx_4 = 0; - __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - __Pyx_DECREF(__pyx_2); __pyx_2 = 0; + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L8_exception_handled; } __pyx_L9_except_error:; @@ -5550,45 +5264,39 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __pyx_L14_try_end:; } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":661 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":661 * # compatibility -- could be an older pickle * obj = <ndarray>PyArray_ContiguousFromObject(key, NPY_LONG, 1, 1) * if obj.dimensions[0] != 624: # <<<<<<<<<<<<<< * raise ValueError("state must be 624 longs") * memcpy(<void*>(self.internal_state.key), <void*>(obj.data), 624*sizeof(long)) */ - /* __pyx_t_2 allocated */ __pyx_t_2 = ((arrayObject_obj->dimensions[0]) != 624); if (__pyx_t_2) { - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":662 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":662 * obj = <ndarray>PyArray_ContiguousFromObject(key, NPY_LONG, 1, 1) * if obj.dimensions[0] != 624: * raise ValueError("state must be 624 longs") # <<<<<<<<<<<<<< * memcpy(<void*>(self.internal_state.key), <void*>(obj.data), 624*sizeof(long)) * self.internal_state.pos = pos */ - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 662; __pyx_clineno = __LINE__; goto __pyx_L1_error;} - __Pyx_GOTREF(((PyObject *)__pyx_t_3)); + __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 662; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __Pyx_INCREF(__pyx_kp_31); - PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_31); + PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_kp_31); __Pyx_GIVEREF(__pyx_kp_31); - /* __pyx_t_1 allocated */ - __pyx_t_1 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 662; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 662; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_3 released */ + __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; __Pyx_Raise(__pyx_t_1, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* __pyx_t_1 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 662; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L17; } __pyx_L17:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":663 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":663 * if obj.dimensions[0] != 624: * raise ValueError("state must be 624 longs") * memcpy(<void*>(self.internal_state.key), <void*>(obj.data), 624*sizeof(long)) # <<<<<<<<<<<<<< @@ -5597,7 +5305,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self */ memcpy(((void *)((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->key), ((void *)arrayObject_obj->data), (624 * (sizeof(long)))); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":664 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":664 * raise ValueError("state must be 624 longs") * memcpy(<void*>(self.internal_state.key), <void*>(obj.data), 624*sizeof(long)) * self.internal_state.pos = pos # <<<<<<<<<<<<<< @@ -5606,29 +5314,25 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self */ ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->pos = __pyx_v_pos; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":665 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":665 * memcpy(<void*>(self.internal_state.key), <void*>(obj.data), 624*sizeof(long)) * self.internal_state.pos = pos * self.internal_state.has_gauss = has_gauss # <<<<<<<<<<<<<< * self.internal_state.gauss = cached_gaussian * */ - /* __pyx_t_4 allocated */ - __pyx_t_4 = __pyx_PyInt_int(__pyx_v_has_gauss); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __Pyx_PyInt_AsInt(__pyx_v_has_gauss); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->has_gauss = __pyx_t_4; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":666 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":666 * self.internal_state.pos = pos * self.internal_state.has_gauss = has_gauss * self.internal_state.gauss = cached_gaussian # <<<<<<<<<<<<<< * * # Pickling support: */ - /* __pyx_t_6 allocated */ - __pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_cached_gaussian); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 666; __pyx_clineno = __LINE__; goto __pyx_L1_error;} - ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->gauss = __pyx_t_6; - /* __pyx_t_6 released */ + __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_cached_gaussian); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 666; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state->gauss = __pyx_t_8; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; @@ -5639,6 +5343,8 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self __Pyx_XDECREF(__pyx_4); __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_3); + __Pyx_XDECREF(__pyx_t_6); + __Pyx_XDECREF(__pyx_t_7); __Pyx_AddTraceback("mtrand.RandomState.set_state"); __pyx_r = NULL; __pyx_L0:; @@ -5652,7 +5358,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_set_state(PyObject *__pyx_v_self return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":669 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":669 * * # Pickling support: * def __getstate__(self): # <<<<<<<<<<<<<< @@ -5667,7 +5373,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___getstate__(PyObject *__pyx_v_s PyObject *__pyx_t_2 = NULL; __Pyx_SetupRefcountContext("__getstate__"); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":670 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":670 * # Pickling support: * def __getstate__(self): * return self.get_state() # <<<<<<<<<<<<<< @@ -5675,17 +5381,13 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___getstate__(PyObject *__pyx_v_s * def __setstate__(self, state): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_get_state); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 670; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 670; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* __pyx_t_1 released */ __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -5701,7 +5403,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___getstate__(PyObject *__pyx_v_s return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":672 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":672 * return self.get_state() * * def __setstate__(self, state): # <<<<<<<<<<<<<< @@ -5717,31 +5419,25 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___setstate__(PyObject *__pyx_v_s PyObject *__pyx_t_3 = NULL; __Pyx_SetupRefcountContext("__setstate__"); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":673 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":673 * * def __setstate__(self, state): * self.set_state(state) # <<<<<<<<<<<<<< * * def __reduce__(self): */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_set_state); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 673; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 673; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_v_state); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_state); __Pyx_GIVEREF(__pyx_v_state); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 673; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_1 released */ - /* __pyx_t_2 released */ __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; @@ -5757,7 +5453,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___setstate__(PyObject *__pyx_v_s return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":675 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":675 * self.set_state(state) * * def __reduce__(self): # <<<<<<<<<<<<<< @@ -5774,7 +5470,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___reduce__(PyObject *__pyx_v_sel PyObject *__pyx_t_3 = NULL; __Pyx_SetupRefcountContext("__reduce__"); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":676 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":676 * * def __reduce__(self): * return (np.random.__RandomState_ctor, (), self.get_state()) # <<<<<<<<<<<<<< @@ -5784,24 +5480,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___reduce__(PyObject *__pyx_v_sel __Pyx_XDECREF(__pyx_r); __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 676; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_GetAttr(__pyx_1, __pyx_kp_random); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 676; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_t_1, __pyx_kp___RandomState_ctor); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 676; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* __pyx_t_1 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_get_state); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 676; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 676; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* __pyx_t_1 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 676; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); @@ -5813,11 +5502,8 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___reduce__(PyObject *__pyx_v_sel __Pyx_GIVEREF(__pyx_t_3); __pyx_t_2 = 0; __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __pyx_r = ((PyObject *)__pyx_t_1); __pyx_t_1 = 0; - /* __pyx_t_1 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -5835,7 +5521,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState___reduce__(PyObject *__pyx_v_sel return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":679 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":679 * * # Basic distributions: * def random_sample(self, size=None): # <<<<<<<<<<<<<< @@ -5887,7 +5573,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_sample(PyObject *__pyx_v_ return NULL; __pyx_L4_argument_unpacking_done:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":696 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":696 * * """ * return cont0_array(self.internal_state, rk_double, size) # <<<<<<<<<<<<<< @@ -5895,12 +5581,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_sample(PyObject *__pyx_v_ * def tomaxint(self, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_1 allocated */ __pyx_t_1 = __pyx_f_6mtrand_cont0_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_double, __pyx_v_size); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; - /* __pyx_t_1 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -5915,7 +5599,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_sample(PyObject *__pyx_v_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":698 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":698 * return cont0_array(self.internal_state, rk_double, size) * * def tomaxint(self, size=None): # <<<<<<<<<<<<<< @@ -5967,7 +5651,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_tomaxint(PyObject *__pyx_v_self, return NULL; __pyx_L4_argument_unpacking_done:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":724 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":724 * * """ * return disc0_array(self.internal_state, rk_long, size) # <<<<<<<<<<<<<< @@ -5975,12 +5659,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_tomaxint(PyObject *__pyx_v_self, * def randint(self, low, high=None, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_1 allocated */ __pyx_t_1 = __pyx_f_6mtrand_disc0_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_long, __pyx_v_size); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; - /* __pyx_t_1 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -5995,7 +5677,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_tomaxint(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":726 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":726 * return disc0_array(self.internal_state, rk_long, size) * * def randint(self, low, high=None, size=None): # <<<<<<<<<<<<<< @@ -6079,19 +5761,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, __pyx_L4_argument_unpacking_done:; arrayObject = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":741 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":741 * cdef long i * * if high is None: # <<<<<<<<<<<<<< * lo = 0 * hi = low */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_high == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":742 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":742 * * if high is None: * lo = 0 # <<<<<<<<<<<<<< @@ -6100,48 +5780,42 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, */ __pyx_v_lo = 0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":743 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":743 * if high is None: * lo = 0 * hi = low # <<<<<<<<<<<<<< * else: * lo = low */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = __pyx_PyInt_long(__pyx_v_low); if (unlikely((__pyx_t_2 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 743; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = __Pyx_PyInt_AsLong(__pyx_v_low); if (unlikely((__pyx_t_2 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 743; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_hi = __pyx_t_2; - /* __pyx_t_2 released */ goto __pyx_L6; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":745 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":745 * hi = low * else: * lo = low # <<<<<<<<<<<<<< * hi = high * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = __pyx_PyInt_long(__pyx_v_low); if (unlikely((__pyx_t_2 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 745; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = __Pyx_PyInt_AsLong(__pyx_v_low); if (unlikely((__pyx_t_2 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 745; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_lo = __pyx_t_2; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":746 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":746 * else: * lo = low * hi = high # <<<<<<<<<<<<<< * * diff = hi - lo - 1 */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = __pyx_PyInt_long(__pyx_v_high); if (unlikely((__pyx_t_2 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 746; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = __Pyx_PyInt_AsLong(__pyx_v_high); if (unlikely((__pyx_t_2 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; 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if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 750; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_kp_32); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_32); __Pyx_GIVEREF(__pyx_kp_32); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 750; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __Pyx_Raise(__pyx_t_4, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 750; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":752 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":752 * raise ValueError("low >= high") * * if size is None: # <<<<<<<<<<<<<< * return <long>rk_interval(diff, self.internal_state) + lo * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_size == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":753 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":753 * * if size is None: * return <long>rk_interval(diff, self.internal_state) + lo # <<<<<<<<<<<<<< @@ -6208,18 +5874,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, * array = <ndarray>np.empty(size, int) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyInt_FromLong((((long)rk_interval(__pyx_v_diff, ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state)) + __pyx_v_lo)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 753; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; goto __pyx_L8; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":755 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":755 * return <long>rk_interval(diff, self.internal_state) + lo * else: * array = <ndarray>np.empty(size, int) # <<<<<<<<<<<<<< @@ -6228,11 +5892,9 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 755; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_GetAttr(__pyx_1, __pyx_kp_empty); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 755; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 755; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_size); @@ -6241,20 +5903,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 755; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_3 released */ __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_5))); __Pyx_DECREF(((PyObject *)arrayObject)); arrayObject = ((PyArrayObject *)__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":756 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":756 * else: * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) # <<<<<<<<<<<<<< @@ -6263,7 +5921,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, */ __pyx_v_length = PyArray_SIZE(arrayObject); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":757 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":757 * array = <ndarray>np.empty(size, int) * length = PyArray_SIZE(array) * array_data = <long *>array.data # <<<<<<<<<<<<<< @@ -6272,16 +5930,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, */ __pyx_v_array_data = ((long *)arrayObject->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":758 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":758 * length = PyArray_SIZE(array) * array_data = <long *>array.data * for i from 0 <= i < length: # <<<<<<<<<<<<<< * array_data[i] = lo + <long>rk_interval(diff, self.internal_state) * return array */ - for (__pyx_v_i = 0; __pyx_v_i < __pyx_v_length; __pyx_v_i++) { + __pyx_t_2 = __pyx_v_length; + for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_2; __pyx_v_i++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":759 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":759 * array_data = <long *>array.data * for i from 0 <= i < length: * array_data[i] = lo + <long>rk_interval(diff, self.internal_state) # <<<<<<<<<<<<<< @@ -6291,7 +5950,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, (__pyx_v_array_data[__pyx_v_i]) = (__pyx_v_lo + ((long)rk_interval(__pyx_v_diff, ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state))); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":760 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":760 * for i from 0 <= i < length: * array_data[i] = lo + <long>rk_interval(diff, self.internal_state) * return array # <<<<<<<<<<<<<< @@ -6321,7 +5980,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randint(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":762 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":762 * return array * * def bytes(self, unsigned int length): # <<<<<<<<<<<<<< @@ -6339,7 +5998,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_bytes(PyObject *__pyx_v_self, Py PyObject *__pyx_t_1 = NULL; __Pyx_SetupRefcountContext("bytes"); assert(__pyx_arg_length); { - __pyx_v_length = PyInt_AsUnsignedLongMask(__pyx_arg_length); if (unlikely((__pyx_v_length == (unsigned int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 762; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __pyx_v_length = __Pyx_PyInt_AsUnsignedInt(__pyx_arg_length); if (unlikely((__pyx_v_length == (unsigned int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 762; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; @@ -6348,22 +6007,20 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_bytes(PyObject *__pyx_v_self, Py __pyx_L4_argument_unpacking_done:; __pyx_v_bytestring = Py_None; __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":785 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":785 * """ * cdef void *bytes * bytestring = PyString_FromStringAndSize(NULL, length) # <<<<<<<<<<<<<< * bytes = PyString_AS_STRING(bytestring) * rk_fill(bytes, length, self.internal_state) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyString_FromStringAndSize(NULL, __pyx_v_length); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 785; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_v_bytestring); __pyx_v_bytestring = __pyx_t_1; __pyx_t_1 = 0; - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":786 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":786 * cdef void *bytes * bytestring = PyString_FromStringAndSize(NULL, length) * bytes = PyString_AS_STRING(bytestring) # <<<<<<<<<<<<<< @@ -6372,7 +6029,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_bytes(PyObject *__pyx_v_self, Py */ __pyx_v_bytes = PyString_AS_STRING(__pyx_v_bytestring); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":787 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":787 * bytestring = PyString_FromStringAndSize(NULL, length) * bytes = PyString_AS_STRING(bytestring) * rk_fill(bytes, length, self.internal_state) # <<<<<<<<<<<<<< @@ -6381,7 +6038,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_bytes(PyObject *__pyx_v_self, Py */ rk_fill(__pyx_v_bytes, __pyx_v_length, ((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":788 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":788 * bytes = PyString_AS_STRING(bytestring) * rk_fill(bytes, length, self.internal_state) * return bytestring # <<<<<<<<<<<<<< @@ -6406,7 +6063,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_bytes(PyObject *__pyx_v_self, Py return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":790 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":790 * return bytestring * * def uniform(self, low=0.0, high=1.0, size=None): # <<<<<<<<<<<<<< @@ -6494,7 +6151,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, __pyx_v_odiff = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_temp = Py_None; __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":865 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":865 * cdef object temp * * flow = PyFloat_AsDouble(low) # <<<<<<<<<<<<<< @@ -6503,7 +6160,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, */ __pyx_v_flow = PyFloat_AsDouble(__pyx_v_low); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":866 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":866 * * flow = PyFloat_AsDouble(low) * fhigh = PyFloat_AsDouble(high) # <<<<<<<<<<<<<< @@ -6512,19 +6169,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, */ __pyx_v_fhigh = PyFloat_AsDouble(__pyx_v_high); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":867 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":867 * flow = PyFloat_AsDouble(low) * fhigh = PyFloat_AsDouble(high) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * return cont2_array_sc(self.internal_state, rk_uniform, size, flow, fhigh-flow) * PyErr_Clear() */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":868 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":868 * fhigh = PyFloat_AsDouble(high) * if not PyErr_Occurred(): * return cont2_array_sc(self.internal_state, rk_uniform, size, flow, fhigh-flow) # <<<<<<<<<<<<<< @@ -6532,18 +6187,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, * olow = <ndarray>PyArray_FROM_OTF(low, NPY_DOUBLE, NPY_ALIGNED) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = __pyx_f_6mtrand_cont2_array_sc(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_uniform, __pyx_v_size, __pyx_v_flow, (__pyx_v_fhigh - __pyx_v_flow)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 868; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":869 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":869 * if not PyErr_Occurred(): * return cont2_array_sc(self.internal_state, rk_uniform, size, flow, fhigh-flow) * PyErr_Clear() # <<<<<<<<<<<<<< @@ -6552,39 +6205,35 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, */ PyErr_Clear(); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":870 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":870 * return cont2_array_sc(self.internal_state, rk_uniform, size, flow, fhigh-flow) * PyErr_Clear() * olow = <ndarray>PyArray_FROM_OTF(low, NPY_DOUBLE, NPY_ALIGNED) # <<<<<<<<<<<<<< * ohigh = <ndarray>PyArray_FROM_OTF(high, NPY_DOUBLE, NPY_ALIGNED) * temp = np.subtract(ohigh, olow) */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_FROM_OTF(__pyx_v_low, NPY_DOUBLE, NPY_ALIGNED); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 870; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_olow)); __pyx_v_olow = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":871 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":871 * PyErr_Clear() * olow = <ndarray>PyArray_FROM_OTF(low, NPY_DOUBLE, NPY_ALIGNED) * ohigh = <ndarray>PyArray_FROM_OTF(high, NPY_DOUBLE, NPY_ALIGNED) # <<<<<<<<<<<<<< * temp = np.subtract(ohigh, olow) * Py_INCREF(temp) # needed to get around Pyrex's automatic reference-counting */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyArray_FROM_OTF(__pyx_v_high, NPY_DOUBLE, NPY_ALIGNED); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 871; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_ohigh)); __pyx_v_ohigh = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":872 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":872 * olow = <ndarray>PyArray_FROM_OTF(low, NPY_DOUBLE, NPY_ALIGNED) * ohigh = <ndarray>PyArray_FROM_OTF(high, NPY_DOUBLE, NPY_ALIGNED) * temp = np.subtract(ohigh, olow) # <<<<<<<<<<<<<< @@ -6593,11 +6242,9 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 872; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_subtract); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 872; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 872; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(((PyObject *)__pyx_v_ohigh)); @@ -6606,19 +6253,15 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, __Pyx_INCREF(((PyObject *)__pyx_v_olow)); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_v_olow)); __Pyx_GIVEREF(((PyObject *)__pyx_v_olow)); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 872; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_3 released */ __Pyx_DECREF(__pyx_v_temp); __pyx_v_temp = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":873 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":873 * ohigh = <ndarray>PyArray_FROM_OTF(high, NPY_DOUBLE, NPY_ALIGNED) * temp = np.subtract(ohigh, olow) * Py_INCREF(temp) # needed to get around Pyrex's automatic reference-counting # <<<<<<<<<<<<<< @@ -6627,23 +6270,21 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, */ Py_INCREF(__pyx_v_temp); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":875 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":875 * Py_INCREF(temp) # needed to get around Pyrex's automatic reference-counting * # rules because EnsureArray steals a reference * odiff = <ndarray>PyArray_EnsureArray(temp) # <<<<<<<<<<<<<< * return cont2_array(self.internal_state, rk_uniform, size, olow, odiff) * */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyArray_EnsureArray(__pyx_v_temp); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 875; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_4))); __Pyx_DECREF(((PyObject *)__pyx_v_odiff)); __pyx_v_odiff = ((PyArrayObject *)__pyx_t_4); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":876 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":876 * # rules because EnsureArray steals a reference * odiff = <ndarray>PyArray_EnsureArray(temp) * return cont2_array(self.internal_state, rk_uniform, size, olow, odiff) # <<<<<<<<<<<<<< @@ -6651,12 +6292,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, * def rand(self, *args): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_4 allocated */ __pyx_t_4 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_uniform, __pyx_v_size, __pyx_v_olow, __pyx_v_odiff); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 876; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -6678,7 +6317,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_uniform(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":878 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":878 * return cont2_array(self.internal_state, rk_uniform, size, olow, odiff) * * def rand(self, *args): # <<<<<<<<<<<<<< @@ -6701,22 +6340,18 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rand(PyObject *__pyx_v_self, PyO __Pyx_INCREF(__pyx_args); __pyx_v_args = __pyx_args; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":916 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":916 * * """ * if len(args) == 0: # <<<<<<<<<<<<<< * return self.random_sample() * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_Length(__pyx_v_args); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 916; __pyx_clineno = __LINE__; goto __pyx_L1_error;} - /* __pyx_t_2 allocated */ __pyx_t_2 = (__pyx_t_1 == 0); - /* __pyx_t_1 released */ if (__pyx_t_2) { - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":917 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":917 * """ * if len(args) == 0: * return self.random_sample() # <<<<<<<<<<<<<< @@ -6724,23 +6359,19 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rand(PyObject *__pyx_v_self, PyO * return self.random_sample(size=args) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_random_sample); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 917; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 917; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; goto __pyx_L5; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":919 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":919 * return self.random_sample() * else: * return self.random_sample(size=args) # <<<<<<<<<<<<<< @@ -6748,21 +6379,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rand(PyObject *__pyx_v_self, PyO * def randn(self, *args): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_random_sample); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_1 = PyDict_New(); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_1)); if (PyDict_SetItem(__pyx_1, __pyx_kp_size, __pyx_v_args) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} - /* __pyx_t_3 allocated */ __pyx_t_3 = PyEval_CallObjectWithKeywords(__pyx_t_4, ((PyObject *)__pyx_empty_tuple), ((PyObject *)__pyx_1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_1)); __pyx_1 = 0; - /* __pyx_t_4 released */ __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; } __pyx_L5:; @@ -6782,7 +6409,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rand(PyObject *__pyx_v_self, PyO return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":921 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":921 * return self.random_sample(size=args) * * def randn(self, *args): # <<<<<<<<<<<<<< @@ -6805,22 +6432,18 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randn(PyObject *__pyx_v_self, Py __Pyx_INCREF(__pyx_args); __pyx_v_args = __pyx_args; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":933 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":933 * * """ * if len(args) == 0: # <<<<<<<<<<<<<< * return self.standard_normal() * else: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = PyObject_Length(__pyx_v_args); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 933; __pyx_clineno = __LINE__; goto __pyx_L1_error;} - /* __pyx_t_2 allocated */ __pyx_t_2 = (__pyx_t_1 == 0); - /* __pyx_t_1 released */ if (__pyx_t_2) { - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":934 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":934 * """ * if len(args) == 0: * return self.standard_normal() # <<<<<<<<<<<<<< @@ -6828,23 +6451,19 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randn(PyObject *__pyx_v_self, Py * return self.standard_normal(args) */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_standard_normal); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 934; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 934; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; goto __pyx_L5; } /*else*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":936 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":936 * return self.standard_normal() * else: * return self.standard_normal(args) # <<<<<<<<<<<<<< @@ -6852,25 +6471,19 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randn(PyObject *__pyx_v_self, Py * def random_integers(self, low, high=None, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_standard_normal); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 936; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 936; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_v_args); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_args); __Pyx_GIVEREF(__pyx_v_args); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 936; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_3 released */ __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; } __pyx_L5:; @@ -6890,7 +6503,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_randn(PyObject *__pyx_v_self, Py return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":938 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":938 * return self.standard_normal(args) * * def random_integers(self, low, high=None, size=None): # <<<<<<<<<<<<<< @@ -6966,19 +6579,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_integers(PyObject *__pyx_ __Pyx_INCREF(__pyx_v_low); __Pyx_INCREF(__pyx_v_high); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":947 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":947 * * """ * if high is None: # <<<<<<<<<<<<<< * high = low * low = 1 */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_high == Py_None); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":948 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":948 * """ * if high is None: * high = low # <<<<<<<<<<<<<< @@ -6989,7 +6600,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_integers(PyObject *__pyx_ __Pyx_DECREF(__pyx_v_high); __pyx_v_high = __pyx_v_low; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":949 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":949 * if high is None: * high = low * low = 1 # <<<<<<<<<<<<<< @@ -7003,7 +6614,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_integers(PyObject *__pyx_ } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":950 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":950 * high = low * low = 1 * return self.randint(low, high+1, size) # <<<<<<<<<<<<<< @@ -7011,13 +6622,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_integers(PyObject *__pyx_ * # Complicated, continuous distributions: */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_v_self, __pyx_kp_randint); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 950; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyNumber_Add(__pyx_v_high, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 950; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 950; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_low); @@ -7029,17 +6637,12 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_integers(PyObject *__pyx_ PyTuple_SET_ITEM(__pyx_t_4, 2, __pyx_v_size); __Pyx_GIVEREF(__pyx_v_size); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 950; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -7058,7 +6661,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_random_integers(PyObject *__pyx_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":953 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":953 * * # Complicated, continuous distributions: * def standard_normal(self, size=None): # <<<<<<<<<<<<<< @@ -7110,7 +6713,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_normal(PyObject *__pyx_ return NULL; __pyx_L4_argument_unpacking_done:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":972 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":972 * * """ * return cont0_array(self.internal_state, rk_gauss, size) # <<<<<<<<<<<<<< @@ -7118,12 +6721,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_normal(PyObject *__pyx_ * def normal(self, loc=0.0, scale=1.0, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_1 allocated */ __pyx_t_1 = __pyx_f_6mtrand_cont0_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_gauss, __pyx_v_size); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 972; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; - /* __pyx_t_1 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -7138,7 +6739,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_normal(PyObject *__pyx_ return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":974 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":974 * return cont0_array(self.internal_state, rk_gauss, size) * * def normal(self, loc=0.0, scale=1.0, size=None): # <<<<<<<<<<<<<< @@ -7223,7 +6824,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_normal(PyObject *__pyx_v_self, P __pyx_v_oloc = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_oscale = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1059 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1059 * cdef double floc, fscale * * floc = PyFloat_AsDouble(loc) # <<<<<<<<<<<<<< @@ -7232,7 +6833,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_normal(PyObject *__pyx_v_self, P */ __pyx_v_floc = PyFloat_AsDouble(__pyx_v_loc); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1060 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1060 * * floc = PyFloat_AsDouble(loc) * fscale = PyFloat_AsDouble(scale) # <<<<<<<<<<<<<< @@ -7241,57 +6842,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_normal(PyObject *__pyx_v_self, P */ __pyx_v_fscale = PyFloat_AsDouble(__pyx_v_scale); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1061 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1061 * floc = PyFloat_AsDouble(loc) * fscale = PyFloat_AsDouble(scale) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fscale <= 0: * raise ValueError("scale <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1062 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1062 * fscale = PyFloat_AsDouble(scale) * if not PyErr_Occurred(): * if fscale <= 0: # <<<<<<<<<<<<<< * raise ValueError("scale <= 0") * return cont2_array_sc(self.internal_state, rk_normal, size, floc, fscale) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fscale <= 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1063 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1063 * if not PyErr_Occurred(): * if fscale <= 0: * raise ValueError("scale <= 0") # <<<<<<<<<<<<<< * return cont2_array_sc(self.internal_state, rk_normal, size, floc, fscale) * */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1063; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_33); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_33); __Pyx_GIVEREF(__pyx_kp_33); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1063; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1063; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1064 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1064 * if fscale <= 0: * raise ValueError("scale <= 0") * return cont2_array_sc(self.internal_state, rk_normal, size, floc, fscale) # <<<<<<<<<<<<<< @@ -7299,18 +6892,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_normal(PyObject *__pyx_v_self, P * PyErr_Clear() */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_f_6mtrand_cont2_array_sc(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_normal, __pyx_v_size, __pyx_v_floc, __pyx_v_fscale); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1064; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1066 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1066 * return cont2_array_sc(self.internal_state, rk_normal, size, floc, fscale) * * PyErr_Clear() # <<<<<<<<<<<<<< @@ -7319,39 +6910,35 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_normal(PyObject *__pyx_v_self, P */ PyErr_Clear(); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1068 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1068 * PyErr_Clear() * * oloc = <ndarray>PyArray_FROM_OTF(loc, NPY_DOUBLE, NPY_ALIGNED) # <<<<<<<<<<<<<< * oscale = <ndarray>PyArray_FROM_OTF(scale, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less_equal(oscale, 0)): */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyArray_FROM_OTF(__pyx_v_loc, NPY_DOUBLE, NPY_ALIGNED); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1068; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)__pyx_v_oloc)); __pyx_v_oloc = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1069 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1069 * * oloc = <ndarray>PyArray_FROM_OTF(loc, NPY_DOUBLE, NPY_ALIGNED) * oscale = <ndarray>PyArray_FROM_OTF(scale, NPY_DOUBLE, NPY_ALIGNED) # <<<<<<<<<<<<<< * if np.any(np.less_equal(oscale, 0)): * raise ValueError("scale <= 0") */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyArray_FROM_OTF(__pyx_v_scale, NPY_DOUBLE, NPY_ALIGNED); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1069; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); 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__Pyx_INCREF(((PyObject *)__pyx_v_oscale)); @@ -8119,62 +7612,46 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_exponential(PyObject *__pyx_v_se PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_5 released */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_5 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1184 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1184 * oscale = <ndarray> PyArray_FROM_OTF(scale, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less_equal(oscale, 0.0)): * raise ValueError("scale <= 0") # <<<<<<<<<<<<<< * return cont1_array(self.internal_state, rk_exponential, size, oscale) * */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(1); 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- /* __pyx_t_5 allocated */ __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_exponential, __pyx_v_size, __pyx_v_oscale); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -8207,7 +7682,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_exponential(PyObject *__pyx_v_se return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1187 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1187 * return cont1_array(self.internal_state, rk_exponential, size, oscale) * * def standard_exponential(self, size=None): # <<<<<<<<<<<<<< @@ -8259,7 +7734,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_exponential(PyObject *_ return NULL; __pyx_L4_argument_unpacking_done:; 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} -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1196 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1196 * return cont0_array(self.internal_state, rk_standard_exponential, size) * * def standard_gamma(self, shape, size=None): # <<<<<<<<<<<<<< @@ -8355,7 +7828,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_gamma(PyObject *__pyx_v __pyx_L4_argument_unpacking_done:; __pyx_v_oshape = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1206 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1206 * cdef double fshape * * fshape = PyFloat_AsDouble(shape) # <<<<<<<<<<<<<< @@ -8364,57 +7837,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_gamma(PyObject *__pyx_v */ __pyx_v_fshape = PyFloat_AsDouble(__pyx_v_shape); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1207 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1207 * * fshape = PyFloat_AsDouble(shape) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fshape <= 0: * raise ValueError("shape <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1208 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1208 * fshape = PyFloat_AsDouble(shape) * if not PyErr_Occurred(): * if fshape <= 0: # <<<<<<<<<<<<<< * raise ValueError("shape <= 0") * return cont1_array_sc(self.internal_state, rk_standard_gamma, size, fshape) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fshape <= 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1209 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1209 * if not PyErr_Occurred(): * if fshape <= 0: * raise ValueError("shape <= 0") # <<<<<<<<<<<<<< * return cont1_array_sc(self.internal_state, rk_standard_gamma, size, fshape) * */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1209; __pyx_clineno = __LINE__; 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- /* __pyx_t_5 allocated */ __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_standard_gamma, __pyx_v_size, __pyx_v_oshape); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1216; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -8577,7 +8016,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_gamma(PyObject *__pyx_v return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1218 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1218 * return cont1_array(self.internal_state, rk_standard_gamma, size, oshape) * * def gamma(self, shape, scale=1.0, size=None): # <<<<<<<<<<<<<< @@ -8586,7 +8025,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_gamma(PyObject *__pyx_v */ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static char __pyx_doc_6mtrand_11RandomState_gamma[] = "\n"" gamma(shape, scale=1.0, size=None)\n""\n"" Draw samples from a Gamma distribution.\n""\n"" Samples are drawn from a Gamma distribution with specified parameters,\n"" `shape` (sometimes designated \"k\") and `scale` (sometimes designated\n"" \"theta\"), where both parameters are > 0.\n""\n"" Parameters\n"" ----------\n"" shape : scalar > 0\n"" The shape of the gamma distribution.\n"" scale : scalar > 0, optional\n"" The scale of the gamma distribution. Default is equal to 1.\n"" size : shape_tuple, optional\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" Returns\n"" -------\n"" out : ndarray, float\n"" Returns one sample unless `size` parameter is specified.\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.gamma : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" Notes\n"" -----\n"" The probability density for the Gamma distribution is\n""\n"" .. math:: p(x) = x^{k-1}\\frac{e^{-x/\\theta}}{\\theta^k\\Gamma(k)},\n""\n"" where :math:`k` is the shape and :math:`\\theta` the scale,\n"" and :math:`\\Gamma` is the Gamma function.\n""\n"" The Gamma distribution is often used to model the times to failure of\n"" electronic components, and arises naturally in processes for which the\n"" waiting times between Poisson distributed events are relevant.\n""\n"" References\n"" ----------\n"" .. [1] Weisstein, Eric W. \"Gamma Distribution.\" From MathWorld--A\n"" Wolfram Web Resource.\n"" http://mathworld.wolfram.com/GammaDistribution.html\n"" .. [2] Wikipedia, \"Gamma-distribution\",\n"" http://en.wikipedia.org/wiki/Gamma-distribution\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> shape, scale = 2., 2. # mean and dispersion\n"" >>> s = np.random.gamma(shape, scale, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> import scipy.special as sps\n"" >>> count, bins, ignored = plt.hist(s, 50, normed=True)\n"" >>> y = bins**(shape-1)*((exp(-bins/scale))/\\\n"" (sps.gamma(shape)*scale**shape))\n"" >>> plt.plot(bins, y, linewidth=2, color='r')\n"" >>> plt.show()\n""\n"" "; +static char __pyx_doc_6mtrand_11RandomState_gamma[] = "\n"" gamma(shape, scale=1.0, size=None)\n""\n"" Draw samples from a Gamma distribution.\n""\n"" Samples are drawn from a Gamma distribution with specified parameters,\n"" `shape` (sometimes designated \"k\") and `scale` (sometimes designated\n"" \"theta\"), where both parameters are > 0.\n""\n"" Parameters\n"" ----------\n"" shape : scalar > 0\n"" The shape of the gamma distribution.\n"" scale : scalar > 0, optional\n"" The scale of the gamma distribution. Default is equal to 1.\n"" size : shape_tuple, optional\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" Returns\n"" -------\n"" out : ndarray, float\n"" Returns one sample unless `size` parameter is specified.\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.gamma : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" Notes\n"" -----\n"" The probability density for the Gamma distribution is\n""\n"" .. math:: p(x) = x^{k-1}\\frac{e^{-x/\\theta}}{\\theta^k\\Gamma(k)},\n""\n"" where :math:`k` is the shape and :math:`\\theta` the scale,\n"" and :math:`\\Gamma` is the Gamma function.\n""\n"" The Gamma distribution is often used to model the times to failure of\n"" electronic components, and arises naturally in processes for which the\n"" waiting times between Poisson distributed events are relevant.\n""\n"" References\n"" ----------\n"" .. [1] Weisstein, Eric W. \"Gamma Distribution.\" From MathWorld--A\n"" Wolfram Web Resource.\n"" http://mathworld.wolfram.com/GammaDistribution.html\n"" .. [2] Wikipedia, \"Gamma-distribution\",\n"" http://en.wikipedia.org/wiki/Gamma-distribution\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> shape, scale = 2., 2. # mean and dispersion\n"" >>> s = np.random.gamma(shape, scale, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> import scipy.special as sps\n"" >>> count, bins, ignored = plt.hist(s, 50, normed=True)\n"" >>> y = bins**(shape-1)*(exp(-bins/scale) /\n"" ... (sps.gamma(shape)*scale**shape))\n"" >>> plt.plot(bins, y, linewidth=2, color='r')\n"" >>> plt.show()\n""\n"" "; static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_shape = 0; PyObject *__pyx_v_scale = 0; @@ -8659,7 +8098,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, Py __pyx_v_oshape = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_oscale = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1291 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1291 * cdef double fshape, fscale * * fshape = PyFloat_AsDouble(shape) # <<<<<<<<<<<<<< @@ -8668,7 +8107,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, Py */ __pyx_v_fshape = PyFloat_AsDouble(__pyx_v_shape); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1292 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1292 * * fshape = PyFloat_AsDouble(shape) * fscale = PyFloat_AsDouble(scale) # <<<<<<<<<<<<<< @@ -8677,95 +8116,81 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, Py */ __pyx_v_fscale = PyFloat_AsDouble(__pyx_v_scale); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1293 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1293 * fshape = PyFloat_AsDouble(shape) * fscale = PyFloat_AsDouble(scale) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fshape <= 0: * raise ValueError("shape <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1294 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1294 * fscale = PyFloat_AsDouble(scale) * if not PyErr_Occurred(): * if fshape <= 0: # <<<<<<<<<<<<<< * raise ValueError("shape <= 0") * if fscale <= 0: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fshape <= 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1295 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1295 * if not PyErr_Occurred(): * if fshape <= 0: * raise ValueError("shape <= 0") # <<<<<<<<<<<<<< * if fscale <= 0: * raise ValueError("scale <= 0") */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); 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if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1297 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1297 * raise ValueError("shape <= 0") * if fscale <= 0: * raise ValueError("scale <= 0") # <<<<<<<<<<<<<< * return cont2_array_sc(self.internal_state, rk_gamma, size, fshape, fscale) * */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1297; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_kp_44); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_44); __Pyx_GIVEREF(__pyx_kp_44); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1297; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __Pyx_Raise(__pyx_t_2, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1297; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1298 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1298 * if fscale <= 0: * raise ValueError("scale <= 0") * return cont2_array_sc(self.internal_state, rk_gamma, size, fshape, fscale) # <<<<<<<<<<<<<< @@ -8773,18 +8198,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, Py * PyErr_Clear() */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_2 allocated */ __pyx_t_2 = __pyx_f_6mtrand_cont2_array_sc(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_gamma, __pyx_v_size, __pyx_v_fshape, __pyx_v_fscale); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1298; __pyx_clineno = __LINE__; 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if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1306; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_46); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_46); __Pyx_GIVEREF(__pyx_kp_46); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1306; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1306; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L10; } __pyx_L10:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1307 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1307 * if np.any(np.less_equal(oscale, 0.0)): * raise ValueError("scale <= 0") * return cont2_array(self.internal_state, rk_gamma, size, oshape, oscale) # <<<<<<<<<<<<<< @@ -9005,12 +8384,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, Py * def f(self, dfnum, dfden, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_3 allocated */ __pyx_t_3 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_gamma, __pyx_v_size, __pyx_v_oshape, __pyx_v_oscale); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1307; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -9031,7 +8408,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gamma(PyObject *__pyx_v_self, Py return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1309 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1309 * return cont2_array(self.internal_state, rk_gamma, size, oshape, oscale) * * def f(self, dfnum, dfden, size=None): # <<<<<<<<<<<<<< @@ -9114,7 +8491,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_f(PyObject *__pyx_v_self, PyObje __pyx_v_odfnum = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_odfden = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1393 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1393 * cdef double fdfnum, fdfden * * fdfnum = PyFloat_AsDouble(dfnum) # <<<<<<<<<<<<<< @@ -9123,7 +8500,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_f(PyObject *__pyx_v_self, PyObje */ __pyx_v_fdfnum = PyFloat_AsDouble(__pyx_v_dfnum); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1394 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1394 * * fdfnum = PyFloat_AsDouble(dfnum) * fdfden = PyFloat_AsDouble(dfden) # <<<<<<<<<<<<<< @@ -9132,95 +8509,81 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_f(PyObject *__pyx_v_self, PyObje */ __pyx_v_fdfden = PyFloat_AsDouble(__pyx_v_dfden); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1395 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1395 * fdfnum = PyFloat_AsDouble(dfnum) * fdfden = PyFloat_AsDouble(dfden) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fdfnum <= 0: * raise ValueError("shape <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1396 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1396 * fdfden = PyFloat_AsDouble(dfden) * if not PyErr_Occurred(): * if fdfnum <= 0: # <<<<<<<<<<<<<< * raise ValueError("shape <= 0") * if fdfden <= 0: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fdfnum <= 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1397 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1397 * if not PyErr_Occurred(): * if fdfnum <= 0: * raise ValueError("shape <= 0") # <<<<<<<<<<<<<< * if fdfden <= 0: * raise ValueError("scale <= 0") */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1397; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_47); 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if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1399 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1399 * raise ValueError("shape <= 0") * if fdfden <= 0: * raise ValueError("scale <= 0") # <<<<<<<<<<<<<< * return cont2_array_sc(self.internal_state, rk_f, size, fdfnum, fdfden) * */ - /* __pyx_t_3 allocated */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1399; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_kp_48); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_48); __Pyx_GIVEREF(__pyx_kp_48); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1399; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; 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__Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_5 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1406; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1407 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1407 * odfden = <ndarray>PyArray_FROM_OTF(dfden, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less_equal(odfnum, 0.0)): * raise ValueError("dfnum <= 0") # <<<<<<<<<<<<<< * if np.any(np.less_equal(odfden, 0.0)): * raise ValueError("dfden <= 0") */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1407; __pyx_clineno = __LINE__; 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- /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1448 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1448 * raise ValueError("nonc < 0") * return cont3_array(self.internal_state, rk_noncentral_f, size, odfnum, * odfden, ononc) # <<<<<<<<<<<<<< * * def chisquare(self, df, size=None): */ - /* __pyx_t_4 allocated */ __pyx_t_4 = __pyx_f_6mtrand_cont3_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_noncentral_f, __pyx_v_size, __pyx_v_odfnum, __pyx_v_odfden, __pyx_v_ononc); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1447; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -10120,7 +9345,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_noncentral_f(PyObject *__pyx_v_s return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1450 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1450 * odfden, ononc) * * def chisquare(self, df, size=None): # <<<<<<<<<<<<<< @@ -10188,7 +9413,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_chisquare(PyObject *__pyx_v_self __pyx_L4_argument_unpacking_done:; 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- /* __pyx_t_5 allocated */ __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_chisquare, __pyx_v_size, __pyx_v_odf); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -10410,7 +9601,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_chisquare(PyObject *__pyx_v_self return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1530 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1530 * return cont1_array(self.internal_state, rk_chisquare, size, odf) * * def noncentral_chisquare(self, df, nonc, size=None): # <<<<<<<<<<<<<< @@ -10493,7 +9684,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_noncentral_chisquare(PyObject *_ __pyx_v_odf = ((PyArrayObject *)Py_None); 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if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1554 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1554 * fnonc = PyFloat_AsDouble(nonc) * if not PyErr_Occurred(): * if fdf <= 1: # <<<<<<<<<<<<<< * raise ValueError("df <= 0") * if fnonc <= 0: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fdf <= 1); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1555 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1555 * if not PyErr_Occurred(): * if fdf <= 1: * raise ValueError("df <= 0") # <<<<<<<<<<<<<< * if fnonc <= 0: * raise ValueError("nonc <= 0") */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1555; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_59); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_59); 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__Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1600; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_5 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1600; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1601 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1601 * odf = <ndarray> PyArray_FROM_OTF(df, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less_equal(odf, 0.0)): * raise ValueError("df <= 0") # <<<<<<<<<<<<<< * return cont1_array(self.internal_state, rk_standard_t, size, odf) * */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1601; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_64); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_64); __Pyx_GIVEREF(__pyx_kp_64); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1601; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1601; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1602 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1602 * if np.any(np.less_equal(odf, 0.0)): * raise ValueError("df <= 0") * return cont1_array(self.internal_state, rk_standard_t, size, odf) # <<<<<<<<<<<<<< @@ -11226,12 +10321,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_t(PyObject *__pyx_v_sel * def vonmises(self, mu, kappa, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_5 allocated */ __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_standard_t, __pyx_v_size, __pyx_v_odf); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1602; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -11251,7 +10344,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_t(PyObject *__pyx_v_sel return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1604 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1604 * return cont1_array(self.internal_state, rk_standard_t, size, odf) * * def vonmises(self, mu, kappa, size=None): # <<<<<<<<<<<<<< @@ -11260,7 +10353,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_standard_t(PyObject *__pyx_v_sel */ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static char __pyx_doc_6mtrand_11RandomState_vonmises[] = "\n"" vonmises(mu=0.0, kappa=1.0, size=None)\n""\n"" Draw samples from a von Mises distribution.\n""\n"" Samples are drawn from a von Mises distribution with specified mode (mu)\n"" and dispersion (kappa), on the interval [-pi, pi].\n""\n"" The von Mises distribution (also known as the circular normal\n"" distribution) is a continuous probability distribution on the circle. It\n"" may be thought of as the circular analogue of the normal distribution.\n""\n"" Parameters\n"" ----------\n"" mu : float\n"" Mode (\"center\") of the distribution.\n"" kappa : float, >= 0.\n"" Dispersion of the distribution.\n"" size : {tuple, int}\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" Returns\n"" -------\n"" samples : {ndarray, scalar}\n"" The returned samples live on the unit circle [-\\pi, \\pi].\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.vonmises : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" Notes\n"" -----\n"" The probability density for the von Mises distribution is\n""\n"" .. math:: p(x) = \\frac{e^{\\kappa cos(x-\\mu)}}{2\\pi I_0(\\kappa)},\n""\n"" where :math:`\\mu` is the mode and :math:`\\kappa` the dispersion,\n"" and :math:`I_0(\\kappa)` is the modified Bessel function of order 0.\n""\n"" The von Mises, named for Richard Edler von Mises, born in\n"" Austria-Hungary, in what is now the Ukraine. He fled to the United\n"" States in 1939 and became a professor at Harvard. He worked in\n"" probability theory, aerodynamics, fluid mechanics, and philosophy of\n"" science.\n""\n"" References\n"" ----------\n"" .. [1] Abramowitz, M. and Stegun, I. A. (ed.), Handbook of Mathematical\n"" Functions, National Bureau of Standards, 1964; reprinted Dover\n"" Publications, 1965.\n"" .. [2] von Mises, Richard, 1964, Mathematical Theory of Probability\n"" and Statistics (New York: Academic Press).\n"" .. [3] Wikipedia, \"Von Mises distribution\",\n"" http://en.wikipedia.org/wiki/Von_Mises_distribution\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> mu, kappa = 0.0, 4.0 # mean and dispersion\n"" >>> s = np.random.vonmises(mu, kappa, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> import scipy.special as sps\n"" >>> count, bins, ignored = plt.hist(s, 50, normed=True)\n"" >>> x = arange(-pi, pi, 2*pi/50.)\n"" >>> y = -np.exp(kappa*np.cos(x-mu))/(2*pi*sps.jn(0,kappa))\n"" >>> plt.plot(x, y/max(y), linewidth=2, color='r')\n"" >>> plt.show()\n""\n"" "; +static char __pyx_doc_6mtrand_11RandomState_vonmises[] = "\n"" vonmises(mu=0.0, kappa=1.0, size=None)\n""\n"" Draw samples from a von Mises distribution.\n""\n"" Samples are drawn from a von Mises distribution with specified mode (mu)\n"" and dispersion (kappa), on the interval [-pi, pi].\n""\n"" The von Mises distribution (also known as the circular normal\n"" distribution) is a continuous probability distribution on the circle. It\n"" may be thought of as the circular analogue of the normal distribution.\n""\n"" Parameters\n"" ----------\n"" mu : float\n"" Mode (\"center\") of the distribution.\n"" kappa : float, >= 0.\n"" Dispersion of the distribution.\n"" size : {tuple, int}\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" Returns\n"" -------\n"" samples : {ndarray, scalar}\n"" The returned samples live on the unit circle [-\\pi, \\pi].\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.vonmises : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" Notes\n"" -----\n"" The probability density for the von Mises distribution is\n""\n"" .. math:: p(x) = \\frac{e^{\\kappa cos(x-\\mu)}}{2\\pi I_0(\\kappa)},\n""\n"" where :math:`\\mu` is the mode and :math:`\\kappa` the dispersion,\n"" and :math:`I_0(\\kappa)` is the modified Bessel function of order 0.\n""\n"" The von Mises, named for Richard Edler von Mises, born in\n"" Austria-Hungary, in what is now the Ukraine. He fled to the United\n"" States in 1939 and became a professor at Harvard. He worked in\n"" probability theory, aerodynamics, fluid mechanics, and philosophy of\n"" science.\n""\n"" References\n"" ----------\n"" .. [1] Abramowitz, M. and Stegun, I. A. (ed.), Handbook of Mathematical\n"" Functions, National Bureau of Standards, 1964; reprinted Dover\n"" Publications, 1965.\n"" .. [2] von Mises, Richard, 1964, Mathematical Theory of Probability\n"" and Statistics (New York: Academic Press).\n"" .. [3] Wikipedia, \"Von Mises distribution\",\n"" http://en.wikipedia.org/wiki/Von_Mises_distribution\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> mu, kappa = 0.0, 4.0 # mean and dispersion\n"" >>> s = np.random.vonmises(mu, kappa, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> import scipy.special as sps\n"" >>> count, bins, ignored = plt.hist(s, 50, normed=True)\n"" >>> x = np.arange(-np.pi, np.pi, 2*np.pi/50.)\n"" >>> y = -np.exp(kappa*np.cos(x-mu))/(2*np.pi*sps.jn(0,kappa))\n"" >>> plt.plot(x, y/max(y), linewidth=2, color='r')\n"" >>> plt.show()\n""\n"" "; static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_mu = 0; PyObject *__pyx_v_kappa = 0; @@ -11334,7 +10427,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, __pyx_v_omu = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_okappa = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1684 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1684 * cdef double fmu, fkappa * * fmu = PyFloat_AsDouble(mu) # <<<<<<<<<<<<<< @@ -11343,7 +10436,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, */ __pyx_v_fmu = PyFloat_AsDouble(__pyx_v_mu); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1685 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1685 * * fmu = PyFloat_AsDouble(mu) * fkappa = PyFloat_AsDouble(kappa) # <<<<<<<<<<<<<< @@ -11352,57 +10445,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, */ __pyx_v_fkappa = PyFloat_AsDouble(__pyx_v_kappa); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1686 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1686 * fmu = PyFloat_AsDouble(mu) * fkappa = PyFloat_AsDouble(kappa) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fkappa < 0: * raise ValueError("kappa < 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1687 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1687 * fkappa = PyFloat_AsDouble(kappa) * if not PyErr_Occurred(): * if fkappa < 0: # <<<<<<<<<<<<<< * raise ValueError("kappa < 0") * return cont2_array_sc(self.internal_state, rk_vonmises, size, fmu, fkappa) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fkappa < 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1688 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1688 * if not PyErr_Occurred(): * if fkappa < 0: * raise ValueError("kappa < 0") # <<<<<<<<<<<<<< * return cont2_array_sc(self.internal_state, rk_vonmises, size, fmu, fkappa) * */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1688; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_65); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_65); __Pyx_GIVEREF(__pyx_kp_65); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1688; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1688; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1689 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1689 * if fkappa < 0: * raise ValueError("kappa < 0") * return cont2_array_sc(self.internal_state, rk_vonmises, size, fmu, fkappa) # <<<<<<<<<<<<<< @@ -11410,18 +10495,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, * PyErr_Clear() */ __Pyx_XDECREF(__pyx_r); 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__Pyx_DECREF(((PyObject *)__pyx_v_okappa)); __pyx_v_okappa = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1695 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1695 * omu = <ndarray> PyArray_FROM_OTF(mu, NPY_DOUBLE, NPY_ALIGNED) * okappa = <ndarray> PyArray_FROM_OTF(kappa, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less(okappa, 0.0)): # <<<<<<<<<<<<<< @@ -11471,20 +10550,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, */ __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_any); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_2 allocated */ __pyx_t_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_less); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_4 allocated */ __pyx_t_4 = PyFloat_FromDouble(0.0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_okappa)); @@ -11493,62 +10568,46 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_5 released */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_5 released */ - /* __pyx_t_1 allocated */ __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1696 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1696 * okappa = <ndarray> PyArray_FROM_OTF(kappa, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less(okappa, 0.0)): * raise ValueError("kappa < 0") # <<<<<<<<<<<<<< * return cont2_array(self.internal_state, rk_vonmises, size, omu, okappa) * */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_66); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_66); __Pyx_GIVEREF(__pyx_kp_66); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1697 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1697 * if np.any(np.less(okappa, 0.0)): * raise ValueError("kappa < 0") * return cont2_array(self.internal_state, rk_vonmises, size, omu, okappa) # <<<<<<<<<<<<<< @@ -11556,12 +10615,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, * def pareto(self, a, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_5 allocated */ __pyx_t_5 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_vonmises, __pyx_v_size, __pyx_v_omu, __pyx_v_okappa); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1697; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -11582,7 +10639,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_vonmises(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1699 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1699 * return cont2_array(self.internal_state, rk_vonmises, size, omu, okappa) * * def pareto(self, a, size=None): # <<<<<<<<<<<<<< @@ -11650,7 +10707,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_pareto(PyObject *__pyx_v_self, P __pyx_L4_argument_unpacking_done:; 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if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1778 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1778 * if not PyErr_Occurred(): * if fa <= 0: * raise ValueError("a <= 0") # <<<<<<<<<<<<<< * return cont1_array_sc(self.internal_state, rk_pareto, size, fa) * */ - /* __pyx_t_2 allocated */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1778; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_67); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_67); __Pyx_GIVEREF(__pyx_kp_67); - /* __pyx_t_3 allocated */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1778; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); 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__Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1784; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_5 released */ - /* __pyx_t_5 allocated */ __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1784; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1784; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); 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__Pyx_INCREF(__pyx_kp_68); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_68); __Pyx_GIVEREF(__pyx_kp_68); - /* __pyx_t_5 allocated */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1785; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1785; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1786 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1786 * if np.any(np.less_equal(oa, 0.0)): * raise ValueError("a <= 0") * return cont1_array(self.internal_state, rk_pareto, size, oa) # <<<<<<<<<<<<<< @@ -11847,12 +10872,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_pareto(PyObject *__pyx_v_self, P * def weibull(self, a, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_5 allocated */ __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_pareto, __pyx_v_size, __pyx_v_oa); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1786; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -11872,7 +10895,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_pareto(PyObject *__pyx_v_self, P return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1788 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1788 * return cont1_array(self.internal_state, rk_pareto, size, oa) * * def weibull(self, a, size=None): # <<<<<<<<<<<<<< @@ -11881,7 +10904,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_pareto(PyObject *__pyx_v_self, P */ static PyObject *__pyx_pf_6mtrand_11RandomState_weibull(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static char __pyx_doc_6mtrand_11RandomState_weibull[] = "\n"" weibull(a, size=None)\n""\n"" Weibull distribution.\n""\n"" Draw samples from a 1-parameter Weibull distribution with the given\n"" shape parameter.\n""\n"" .. math:: X = (-ln(U))^{1/a}\n""\n"" Here, U is drawn from the uniform distribution over (0,1].\n""\n"" The more common 2-parameter Weibull, including a scale parameter\n"" :math:`\\lambda` is just :math:`X = \\lambda(-ln(U))^{1/a}`.\n""\n"" The Weibull (or Type III asymptotic extreme value distribution for smallest\n"" values, SEV Type III, or Rosin-Rammler distribution) is one of a class of\n"" Generalized Extreme Value (GEV) distributions used in modeling extreme\n"" value problems. This class includes the Gumbel and Frechet distributions.\n""\n"" Parameters\n"" ----------\n"" a : float\n"" Shape of the distribution.\n"" size : tuple of ints\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.weibull : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" gumbel, scipy.stats.distributions.genextreme\n""\n"" Notes\n"" -----\n"" The probability density for the Weibull distribution is\n""\n"" .. math:: p(x) = \\frac{a}\n"" {\\lambda}(\\frac{x}{\\lambda})^{a-1}e^{-(x/\\lambda)^a},\n""\n"" where :math:`a` is the shape and :math:`\\lambda` the scale.\n""\n"" The function has its peak (the mode) at\n"" :math:`\\lambda(\\frac{a-1}{a})^{1/a}`.\n""\n"" When ``a = 1``, the Weibull distribution reduces to the exponential\n"" distribution.\n""\n"" References\n"" ----------\n"" .. [1] Waloddi Weibull, Professor, Royal Technical University, Stockholm,\n"" 1939 \"A Statistical Theory Of The Strength Of Materials\",\n"" Ingeniorsvetenskapsakademiens Handlingar Nr 151, 1939,\n"" Generalstabens Litografiska Anstalts Forlag, Stockholm.\n"" .. [2] Waloddi Weibull, 1951 \"A Statistical Distribution Function of Wide\n"" Applicability\", Journal Of Applied Mechanics ASME Paper.\n"" .. [3] Wikipedia, \"Weibull distribution\",\n"" http://en.wikipedia.org/wiki/Weibull_distribution\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> a = 5. # shape\n"" >>> s = np.random.weibull(a, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> def weib(x,n,a):\n"" ... return (a / n) * (x / n)**(a - 1) * np.exp(-(x / n)**a)\n""\n"" >>> count, bins, ignored = plt.hist(np.random.weibull(5.,1000))\n"" >>> x = np.arange(1,100.)/50.\n"" >>> scale = count.max()/weib(x, 1., 5.).max()\n"" >>> plt.plot(x, weib(x, 1., 5.)*scale)\n"" >>> plt.show()\n""\n"" "; +static char __pyx_doc_6mtrand_11RandomState_weibull[] = "\n"" weibull(a, size=None)\n""\n"" Weibull distribution.\n""\n"" Draw samples from a 1-parameter Weibull distribution with the given\n"" shape parameter.\n""\n"" .. math:: X = (-ln(U))^{1/a}\n""\n"" Here, U is drawn from the uniform distribution over (0,1].\n""\n"" The more common 2-parameter Weibull, including a scale parameter\n"" :math:`\\lambda` is just :math:`X = \\lambda(-ln(U))^{1/a}`.\n""\n"" The Weibull (or Type III asymptotic extreme value distribution for smallest\n"" values, SEV Type III, or Rosin-Rammler distribution) is one of a class of\n"" Generalized Extreme Value (GEV) distributions used in modeling extreme\n"" value problems. This class includes the Gumbel and Frechet distributions.\n""\n"" Parameters\n"" ----------\n"" a : float\n"" Shape of the distribution.\n"" size : tuple of ints\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.weibull : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" gumbel, scipy.stats.distributions.genextreme\n""\n"" Notes\n"" -----\n"" The probability density for the Weibull distribution is\n""\n"" .. math:: p(x) = \\frac{a}\n"" {\\lambda}(\\frac{x}{\\lambda})^{a-1}e^{-(x/\\lambda)^a},\n""\n"" where :math:`a` is the shape and :math:`\\lambda` the scale.\n""\n"" The function has its peak (the mode) at\n"" :math:`\\lambda(\\frac{a-1}{a})^{1/a}`.\n""\n"" When ``a = 1``, the Weibull distribution reduces to the exponential\n"" distribution.\n""\n"" References\n"" ----------\n"" .. [1] Waloddi Weibull, Professor, Royal Technical University, Stockholm,\n"" 1939 \"A Statistical Theory Of The Strength Of Materials\",\n"" Ingeniorsvetenskapsakademiens Handlingar Nr 151, 1939,\n"" Generalstabens Litografiska Anstalts Forlag, Stockholm.\n"" .. [2] Waloddi Weibull, 1951 \"A Statistical Distribution Function of Wide\n"" Applicability\", Journal Of Applied Mechanics ASME Paper.\n"" .. [3] Wikipedia, \"Weibull distribution\",\n"" http://en.wikipedia.org/wiki/Weibull_distribution\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> a = 5. # shape\n"" >>> s = np.random.weibull(a, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> x = np.arange(1,100.)/50.\n"" >>> def weib(x,n,a):\n"" ... return (a / n) * (x / n)**(a - 1) * np.exp(-(x / n)**a)\n""\n"" >>> count, bins, ignored = plt.hist(np.random.weibull(5.,1000))\n"" >>> x = np.arange(1,100.)/50.\n"" >>> scale = count.max()/weib(x, 1., 5.).max()\n"" >>> plt.plot(x, weib(x, 1., 5.)*scale)\n"" >>> plt.show()\n""\n"" "; static PyObject *__pyx_pf_6mtrand_11RandomState_weibull(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_a = 0; PyObject *__pyx_v_size = 0; @@ -11940,7 +10963,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_weibull(PyObject *__pyx_v_self, __pyx_L4_argument_unpacking_done:; __pyx_v_oa = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1874 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1875 * cdef double fa * * fa = PyFloat_AsDouble(a) # <<<<<<<<<<<<<< @@ -11949,57 +10972,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_weibull(PyObject *__pyx_v_self, */ __pyx_v_fa = PyFloat_AsDouble(__pyx_v_a); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1875 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1876 * * fa = PyFloat_AsDouble(a) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fa <= 0: * raise ValueError("a <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1876 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1877 * fa = PyFloat_AsDouble(a) * if not PyErr_Occurred(): * if fa <= 0: # <<<<<<<<<<<<<< * raise ValueError("a <= 0") * return cont1_array_sc(self.internal_state, rk_weibull, size, fa) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fa <= 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1877 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1878 * if not PyErr_Occurred(): * if fa <= 0: * raise ValueError("a <= 0") # <<<<<<<<<<<<<< * return cont1_array_sc(self.internal_state, rk_weibull, size, fa) * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1877; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1878; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_69); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_69); __Pyx_GIVEREF(__pyx_kp_69); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; 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__pyx_lineno = 1887; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "power") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1888; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_a = values[0]; __pyx_v_size = values[1]; @@ -12223,14 +11212,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_power(PyObject *__pyx_v_self, Py } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("power", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1887; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("power", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1888; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.power"); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_v_oa = ((PyArrayObject *)Py_None); 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__pyx_lineno = 1906; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1907; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_oa)); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_oa)); @@ -12364,62 +11337,46 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_power(PyObject *__pyx_v_self, Py PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1906; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1907; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); 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if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1907; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1908; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_72); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_72); __Pyx_GIVEREF(__pyx_kp_72); - /* __pyx_t_5 allocated */ - __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1907; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1908; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); 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__pyx_lineno = 1908; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_power, __pyx_v_size, __pyx_v_oa); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1909; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -12452,7 +11407,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_power(PyObject *__pyx_v_self, Py return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1910 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1911 * return cont1_array(self.internal_state, rk_power, size, oa) * * def laplace(self, loc=0.0, scale=1.0, size=None): # <<<<<<<<<<<<<< @@ -12510,7 +11465,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_laplace(PyObject *__pyx_v_self, } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "laplace") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1910; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "laplace") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1911; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_loc = values[0]; __pyx_v_scale = values[1]; @@ -12529,7 +11484,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_laplace(PyObject *__pyx_v_self, } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("laplace", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1910; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("laplace", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1911; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.laplace"); return NULL; @@ -12537,7 +11492,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_laplace(PyObject *__pyx_v_self, __pyx_v_oloc = ((PyArrayObject *)Py_None); 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__pyx_lineno = 1945; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1946; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_oscale)); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_oscale)); @@ -12696,62 +11633,46 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_laplace(PyObject *__pyx_v_self, PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1945; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1946; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); 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if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1947; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_laplace, __pyx_v_size, __pyx_v_oloc, __pyx_v_oscale); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1948; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -12785,7 +11704,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_laplace(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":1949 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":1950 * return cont2_array(self.internal_state, rk_laplace, size, oloc, oscale) * * def gumbel(self, loc=0.0, scale=1.0, size=None): # <<<<<<<<<<<<<< @@ -12843,7 +11762,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gumbel(PyObject *__pyx_v_self, P } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "gumbel") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1949; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "gumbel") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1950; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_loc = values[0]; __pyx_v_scale = values[1]; @@ -12862,7 +11781,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gumbel(PyObject *__pyx_v_self, P } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("gumbel", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1949; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("gumbel", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1950; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.gumbel"); return NULL; @@ -12870,7 +11789,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gumbel(PyObject *__pyx_v_self, P __pyx_v_oloc = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_oscale = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2059 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2060 * cdef double floc, fscale * * floc = PyFloat_AsDouble(loc) # <<<<<<<<<<<<<< @@ -12879,7 +11798,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gumbel(PyObject *__pyx_v_self, P */ __pyx_v_floc = PyFloat_AsDouble(__pyx_v_loc); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2060 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2061 * * floc = PyFloat_AsDouble(loc) * fscale = PyFloat_AsDouble(scale) # <<<<<<<<<<<<<< @@ -12888,57 +11807,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gumbel(PyObject *__pyx_v_self, P */ __pyx_v_fscale = PyFloat_AsDouble(__pyx_v_scale); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2061 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2062 * floc = PyFloat_AsDouble(loc) * fscale = PyFloat_AsDouble(scale) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fscale <= 0: * raise ValueError("scale <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); 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goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2064; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_75); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_75); __Pyx_GIVEREF(__pyx_kp_75); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2063; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2064; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; 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if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2071; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_gumbel, __pyx_v_size, __pyx_v_oloc, __pyx_v_oscale); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2072; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -13118,7 +12001,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_gumbel(PyObject *__pyx_v_self, P return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2073 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2074 * return cont2_array(self.internal_state, rk_gumbel, size, oloc, oscale) * * def logistic(self, loc=0.0, scale=1.0, size=None): # <<<<<<<<<<<<<< @@ -13176,7 +12059,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_logistic(PyObject *__pyx_v_self, } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "logistic") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2073; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "logistic") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2074; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_loc = values[0]; __pyx_v_scale = values[1]; @@ -13195,7 +12078,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_logistic(PyObject *__pyx_v_self, } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("logistic", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2073; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("logistic", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2074; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.logistic"); return NULL; @@ -13203,7 +12086,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_logistic(PyObject *__pyx_v_self, __pyx_v_oloc = ((PyArrayObject *)Py_None); 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goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_77); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_77); __Pyx_GIVEREF(__pyx_kp_77); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; 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if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2159; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_logistic, __pyx_v_size, __pyx_v_oloc, __pyx_v_oscale); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2160; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -13451,7 +12298,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_logistic(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2161 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2162 * return cont2_array(self.internal_state, rk_logistic, size, oloc, oscale) * * def lognormal(self, mean=0.0, sigma=1.0, size=None): # <<<<<<<<<<<<<< @@ -13509,7 +12356,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_lognormal(PyObject *__pyx_v_self } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "lognormal") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2161; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "lognormal") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2162; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_mean = values[0]; __pyx_v_sigma = values[1]; @@ -13528,7 +12375,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_lognormal(PyObject *__pyx_v_self } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("lognormal", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2161; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("lognormal", 0, 0, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2162; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.lognormal"); return NULL; @@ -13536,7 +12383,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_lognormal(PyObject *__pyx_v_self __pyx_v_omean = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_osigma = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2276 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2277 * cdef double fmean, fsigma * * fmean = PyFloat_AsDouble(mean) # <<<<<<<<<<<<<< @@ -13545,7 +12392,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_lognormal(PyObject *__pyx_v_self */ __pyx_v_fmean = PyFloat_AsDouble(__pyx_v_mean); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2277 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2278 * * fmean = PyFloat_AsDouble(mean) * fsigma = PyFloat_AsDouble(sigma) # <<<<<<<<<<<<<< @@ -13554,57 +12401,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_lognormal(PyObject *__pyx_v_self */ __pyx_v_fsigma = PyFloat_AsDouble(__pyx_v_sigma); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2279 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2280 * fsigma = PyFloat_AsDouble(sigma) * * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fsigma <= 0: * raise ValueError("sigma <= 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); 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if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2290; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_cont2_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_lognormal, __pyx_v_size, __pyx_v_omean, __pyx_v_osigma); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2291; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -13784,7 +12595,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_lognormal(PyObject *__pyx_v_self return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2292 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2293 * return cont2_array(self.internal_state, rk_lognormal, size, omean, osigma) * * def rayleigh(self, scale=1.0, size=None): # <<<<<<<<<<<<<< @@ -13832,7 +12643,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rayleigh(PyObject *__pyx_v_self, } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "rayleigh") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2292; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "rayleigh") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2293; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_scale = values[0]; __pyx_v_size = values[1]; @@ -13848,14 +12659,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rayleigh(PyObject *__pyx_v_self, } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("rayleigh", 0, 0, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2292; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("rayleigh", 0, 0, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2293; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.rayleigh"); return NULL; __pyx_L4_argument_unpacking_done:; 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if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2306 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2307 * if not PyErr_Occurred(): * if fscale <= 0: * raise ValueError("scale <= 0") # <<<<<<<<<<<<<< * return cont1_array_sc(self.internal_state, rk_rayleigh, size, fscale) * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2306; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2307; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_81); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_81); __Pyx_GIVEREF(__pyx_kp_81); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; 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if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2313; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2314; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_82); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_82); __Pyx_GIVEREF(__pyx_kp_82); - /* __pyx_t_5 allocated */ - __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2313; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2314; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2313; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2314; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2314 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2315 * if np.any(np.less_equal(oscale, 0.0)): * raise ValueError("scale <= 0.0") * return cont1_array(self.internal_state, rk_rayleigh, size, oscale) # <<<<<<<<<<<<<< @@ -14052,12 +12831,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rayleigh(PyObject *__pyx_v_self, * def wald(self, mean, scale, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_5 allocated */ - __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_rayleigh, __pyx_v_size, __pyx_v_oscale); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2314; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_cont1_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_rayleigh, __pyx_v_size, __pyx_v_oscale); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2315; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -14077,7 +12854,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_rayleigh(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2316 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2317 * return cont1_array(self.internal_state, rk_rayleigh, size, oscale) * * def wald(self, mean, scale, size=None): # <<<<<<<<<<<<<< @@ -14124,7 +12901,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_wald(PyObject *__pyx_v_self, PyO values[1] = PyDict_GetItem(__pyx_kwds, __pyx_kp_scale); 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__pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2331; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2330; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2331; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2331 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2332 * if fmean <= 0: * raise ValueError("mean <= 0") * if fscale <= 0: # <<<<<<<<<<<<<< * raise ValueError("scale <= 0") * return cont2_array_sc(self.internal_state, rk_wald, size, fmean, fscale) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fscale <= 0); 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__pyx_lineno = 2340; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyObject_GetAttr(__pyx_1, __pyx_kp_less_equal); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2341; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyFloat_FromDouble(0.0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2340; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyFloat_FromDouble(0.0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2341; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2340; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2341; __pyx_clineno = __LINE__; 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if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2343; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -14531,7 +13246,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_wald(PyObject *__pyx_v_self, PyO return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2346 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2347 * * * def triangular(self, left, mode, right, size=None): # <<<<<<<<<<<<<< @@ -14582,13 +13297,13 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_triangular(PyObject *__pyx_v_sel values[1] = PyDict_GetItem(__pyx_kwds, __pyx_kp_mode); if (likely(values[1])) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("triangular", 0, 3, 4, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2346; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("triangular", 0, 3, 4, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2347; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: values[2] = PyDict_GetItem(__pyx_kwds, __pyx_kp_right); if (likely(values[2])) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("triangular", 0, 3, 4, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2346; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("triangular", 0, 3, 4, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2347; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 3: if (kw_args > 1) { @@ -14597,7 +13312,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_triangular(PyObject *__pyx_v_sel } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "triangular") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2346; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "triangular") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2347; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_left = values[0]; __pyx_v_mode = values[1]; @@ -14618,7 +13333,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_triangular(PyObject *__pyx_v_sel } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("triangular", 0, 3, 4, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2346; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("triangular", 0, 3, 4, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2347; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.triangular"); return NULL; @@ -14627,7 +13342,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_triangular(PyObject *__pyx_v_sel __pyx_v_omode = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_oright = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2357 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2358 * cdef double fleft, fmode, fright * * fleft = PyFloat_AsDouble(left) # <<<<<<<<<<<<<< @@ -14636,7 +13351,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_triangular(PyObject *__pyx_v_sel */ __pyx_v_fleft = PyFloat_AsDouble(__pyx_v_left); 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if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __pyx_f_6mtrand_cont3_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_triangular, __pyx_v_size, __pyx_v_oleft, __pyx_v_omode, __pyx_v_oright); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2382; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -15153,7 +13784,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_triangular(PyObject *__pyx_v_sel return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2385 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2386 * * # Complicated, discrete distributions: * def binomial(self, n, p, size=None): # <<<<<<<<<<<<<< @@ -15200,7 +13831,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_binomial(PyObject *__pyx_v_self, values[1] = PyDict_GetItem(__pyx_kwds, __pyx_kp_p); 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goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2475; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2474; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2475; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2475 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2476 * if ln <= 0: * raise ValueError("n <= 0") * if fp < 0: # <<<<<<<<<<<<<< * raise ValueError("p < 0") * elif fp > 1: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fp < 0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2476 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2477 * raise ValueError("n <= 0") * if fp < 0: * raise ValueError("p < 0") # <<<<<<<<<<<<<< * elif fp > 1: * raise ValueError("p > 1") */ - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyTuple_New(1); 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if (likely(values[1])) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("negative_binomial", 0, 2, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2493; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("negative_binomial", 0, 2, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2494; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (kw_args > 1) { @@ -15775,7 +14324,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_negative_binomial(PyObject *__py } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "negative_binomial") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2493; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "negative_binomial") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2494; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_n = values[0]; __pyx_v_p = values[1]; @@ -15794,7 +14343,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_negative_binomial(PyObject *__py } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("negative_binomial", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2493; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("negative_binomial", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2494; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.negative_binomial"); return NULL; @@ -15802,7 +14351,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_negative_binomial(PyObject *__py __pyx_v_on = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_v_op = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2505 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2506 * cdef double fp * * fp = PyFloat_AsDouble(p) # <<<<<<<<<<<<<< @@ -15811,7 +14360,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_negative_binomial(PyObject *__py */ __pyx_v_fp = PyFloat_AsDouble(__pyx_v_p); 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__pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -16301,7 +14768,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_negative_binomial(PyObject *__py return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2530 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2531 * on, op) * * def poisson(self, lam=1.0, size=None): # <<<<<<<<<<<<<< @@ -16349,7 +14816,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "poisson") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2530; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "poisson") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2531; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_lam = values[0]; __pyx_v_size = values[1]; @@ -16365,14 +14832,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("poisson", 0, 0, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2530; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("poisson", 0, 0, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2531; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.poisson"); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_v_olam = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2539 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2540 * cdef ndarray olam * cdef double flam * flam = PyFloat_AsDouble(lam) # <<<<<<<<<<<<<< @@ -16381,62 +14848,52 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, */ __pyx_v_flam = PyFloat_AsDouble(__pyx_v_lam); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2540 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2541 * cdef double flam * flam = PyFloat_AsDouble(lam) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if lam < 0: * raise ValueError("lam < 0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2541 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2542 * flam = PyFloat_AsDouble(lam) * if not PyErr_Occurred(): * if lam < 0: # <<<<<<<<<<<<<< * raise ValueError("lam < 0") * return discd_array_sc(self.internal_state, rk_poisson, size, flam) */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyObject_RichCompare(__pyx_v_lam, __pyx_int_0, Py_LT); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2541; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyObject_RichCompare(__pyx_v_lam, __pyx_int_0, Py_LT); 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if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2542; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_105); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_105); __Pyx_GIVEREF(__pyx_kp_105); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2542; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2542; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2543 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2544 * if lam < 0: * raise ValueError("lam < 0") * return discd_array_sc(self.internal_state, rk_poisson, size, flam) # <<<<<<<<<<<<<< @@ -16444,18 +14901,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, * PyErr_Clear() */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_3 allocated */ - __pyx_t_3 = __pyx_f_6mtrand_discd_array_sc(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_poisson, __pyx_v_size, __pyx_v_flam); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = __pyx_f_6mtrand_discd_array_sc(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_poisson, __pyx_v_size, __pyx_v_flam); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2544; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2545 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2546 * return discd_array_sc(self.internal_state, rk_poisson, size, flam) * * PyErr_Clear() # <<<<<<<<<<<<<< @@ -16464,43 +14919,38 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, */ PyErr_Clear(); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2547 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2548 * PyErr_Clear() * * olam = <ndarray>PyArray_FROM_OTF(lam, NPY_DOUBLE, NPY_ALIGNED) # <<<<<<<<<<<<<< * if np.any(np.less(olam, 0)): * raise ValueError("lam < 0") */ - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyArray_FROM_OTF(__pyx_v_lam, NPY_DOUBLE, NPY_ALIGNED); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2547; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyArray_FROM_OTF(__pyx_v_lam, NPY_DOUBLE, NPY_ALIGNED); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_3))); __Pyx_DECREF(((PyObject *)__pyx_v_olam)); __pyx_v_olam = ((PyArrayObject *)__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2548 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2549 * * olam = <ndarray>PyArray_FROM_OTF(lam, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less(olam, 0)): # <<<<<<<<<<<<<< * raise ValueError("lam < 0") * return discd_array(self.internal_state, rk_poisson, size, olam) */ - __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_any); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_GetAttr(__pyx_1, __pyx_kp_any); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_1); __pyx_1 = 0; - __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_1 = __Pyx_GetName(__pyx_m, __pyx_kp_np); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; 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if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); __Pyx_GIVEREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* __pyx_t_5 allocated */ - __pyx_t_5 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_3 released */ - /* __pyx_t_4 released */ - /* __pyx_t_1 allocated */ - __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; - /* __pyx_t_5 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2549 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2550 * olam = <ndarray>PyArray_FROM_OTF(lam, NPY_DOUBLE, NPY_ALIGNED) * if np.any(np.less(olam, 0)): * raise ValueError("lam < 0") # <<<<<<<<<<<<<< * return discd_array(self.internal_state, rk_poisson, size, olam) * */ - /* __pyx_t_5 allocated */ - __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2550; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(__pyx_kp_106); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_kp_106); __Pyx_GIVEREF(__pyx_kp_106); - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2550; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_5 released */ __Pyx_Raise(__pyx_t_4, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2549; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2550; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2550 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2551 * if np.any(np.less(olam, 0)): * raise ValueError("lam < 0") * return discd_array(self.internal_state, rk_poisson, size, olam) # <<<<<<<<<<<<<< @@ -16570,12 +15005,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, * def zipf(self, a, size=None): */ __Pyx_XDECREF(__pyx_r); - /* __pyx_t_4 allocated */ - __pyx_t_4 = __pyx_f_6mtrand_discd_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_poisson, __pyx_v_size, __pyx_v_olam); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2550; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = __pyx_f_6mtrand_discd_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_poisson, __pyx_v_size, __pyx_v_olam); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2551; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_r = __pyx_t_4; __pyx_t_4 = 0; - /* __pyx_t_4 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -16595,7 +15028,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2552 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2553 * return discd_array(self.internal_state, rk_poisson, size, olam) * * def zipf(self, a, size=None): # <<<<<<<<<<<<<< @@ -16604,7 +15037,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_poisson(PyObject *__pyx_v_self, */ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static char __pyx_doc_6mtrand_11RandomState_zipf[] = "\n"" zipf(a, size=None)\n""\n"" Draw samples from a Zipf distribution.\n""\n"" Samples are drawn from a Zipf distribution with specified parameter (a),\n"" where a > 1.\n""\n"" The zipf distribution (also known as the zeta\n"" distribution) is a continuous probability distribution that satisfies\n"" Zipf's law, where the frequency of an item is inversely proportional to\n"" its rank in a frequency table.\n""\n"" Parameters\n"" ----------\n"" a : float\n"" parameter, > 1.\n"" size : {tuple, int}\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" Returns\n"" -------\n"" samples : {ndarray, scalar}\n"" The returned samples are greater than or equal to one.\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.zipf : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" Notes\n"" -----\n"" The probability density for the Zipf distribution is\n""\n"" .. math:: p(x) = \\frac{x^{-a}}{\\zeta(a)},\n""\n"" where :math:`\\zeta` is the Riemann Zeta function.\n""\n"" Named after the American linguist George Kingsley Zipf, who noted that\n"" the frequency of any word in a sample of a language is inversely\n"" proportional to its rank in the frequency table.\n""\n""\n"" References\n"" ----------\n"" .. [1] Weisstein, Eric W. \"Zipf Distribution.\" From MathWorld--A Wolfram\n"" Web Resource. http://mathworld.wolfram.com/ZipfDistribution.html\n"" .. [2] Wikipedia, \"Zeta distribution\",\n"" http://en.wikipedia.org/wiki/Zeta_distribution\n"" .. [3] Wikipedia, \"Zipf's Law\",\n"" http://en.wikipedia.org/wiki/Zipf%27s_law\n"" .. [4] Zipf, George Kingsley (1932): Selected Studies of the Principle\n"" of Relative Frequency in Language. Cambridge (Mass.).\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> a = 2. # parameter\n"" >>> s = np.random.zipf(a, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> import scipy.special as sps\n"" Truncate s values at 50 so plot is interesting\n"" >>> count, bins, ignored = plt.hist(s[s<50], 50, normed=True)\n"" >>> x = arange(1., 50.)\n"" >>> y = x**(-a)/sps.zetac(a)\n"" >>> plt.plot(x, y/max(y), linewidth=2, color='r')\n"" >>> plt.show()\n""\n"" "; +static char __pyx_doc_6mtrand_11RandomState_zipf[] = "\n"" zipf(a, size=None)\n""\n"" Draw samples from a Zipf distribution.\n""\n"" Samples are drawn from a Zipf distribution with specified parameter (a),\n"" where a > 1.\n""\n"" The zipf distribution (also known as the zeta\n"" distribution) is a continuous probability distribution that satisfies\n"" Zipf's law, where the frequency of an item is inversely proportional to\n"" its rank in a frequency table.\n""\n"" Parameters\n"" ----------\n"" a : float\n"" parameter, > 1.\n"" size : {tuple, int}\n"" Output shape. If the given shape is, e.g., ``(m, n, k)``, then\n"" ``m * n * k`` samples are drawn.\n""\n"" Returns\n"" -------\n"" samples : {ndarray, scalar}\n"" The returned samples are greater than or equal to one.\n""\n"" See Also\n"" --------\n"" scipy.stats.distributions.zipf : probability density function,\n"" distribution or cumulative density function, etc.\n""\n"" Notes\n"" -----\n"" The probability density for the Zipf distribution is\n""\n"" .. math:: p(x) = \\frac{x^{-a}}{\\zeta(a)},\n""\n"" where :math:`\\zeta` is the Riemann Zeta function.\n""\n"" Named after the American linguist George Kingsley Zipf, who noted that\n"" the frequency of any word in a sample of a language is inversely\n"" proportional to its rank in the frequency table.\n""\n""\n"" References\n"" ----------\n"" .. [1] Weisstein, Eric W. \"Zipf Distribution.\" From MathWorld--A Wolfram\n"" Web Resource. http://mathworld.wolfram.com/ZipfDistribution.html\n"" .. [2] Wikipedia, \"Zeta distribution\",\n"" http://en.wikipedia.org/wiki/Zeta_distribution\n"" .. [3] Wikipedia, \"Zipf's Law\",\n"" http://en.wikipedia.org/wiki/Zipf%27s_law\n"" .. [4] Zipf, George Kingsley (1932): Selected Studies of the Principle\n"" of Relative Frequency in Language. Cambridge (Mass.).\n""\n"" Examples\n"" --------\n"" Draw samples from the distribution:\n""\n"" >>> a = 2. # parameter\n"" >>> s = np.random.zipf(a, 1000)\n""\n"" Display the histogram of the samples, along with\n"" the probability density function:\n""\n"" >>> import matplotlib.pyplot as plt\n"" >>> import scipy.special as sps\n"" Truncate s values at 50 so plot is interesting\n"" >>> count, bins, ignored = plt.hist(s[s<50], 50, normed=True)\n"" >>> x = np.arange(1., 50.)\n"" >>> y = x**(-a)/sps.zetac(a)\n"" >>> plt.plot(x, y/max(y), linewidth=2, color='r')\n"" >>> plt.show()\n""\n"" "; static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_a = 0; PyObject *__pyx_v_size = 0; @@ -16641,7 +15074,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyO } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "zipf") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2552; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "zipf") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2553; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_a = values[0]; __pyx_v_size = values[1]; @@ -16656,14 +15089,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyO } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("zipf", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2552; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("zipf", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2553; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.zipf"); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_v_oa = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2631 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2632 * cdef double fa * * fa = PyFloat_AsDouble(a) # <<<<<<<<<<<<<< @@ -16672,57 +15105,49 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyO */ __pyx_v_fa = PyFloat_AsDouble(__pyx_v_a); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2632 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2633 * * fa = PyFloat_AsDouble(a) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fa <= 1.0: * raise ValueError("a <= 1.0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2633 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2634 * fa = PyFloat_AsDouble(a) * if not PyErr_Occurred(): * if fa <= 1.0: # <<<<<<<<<<<<<< * raise ValueError("a <= 1.0") * return discd_array_sc(self.internal_state, rk_zipf, size, fa) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fa <= 1.0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2634 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2635 * if not PyErr_Occurred(): * if fa <= 1.0: * raise ValueError("a <= 1.0") # <<<<<<<<<<<<<< * return discd_array_sc(self.internal_state, rk_zipf, size, fa) * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2634; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_107); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_107); __Pyx_GIVEREF(__pyx_kp_107); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2634; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2634; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2635; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2635 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2636 * if fa <= 1.0: * raise ValueError("a <= 1.0") * return discd_array_sc(self.internal_state, rk_zipf, size, fa) # <<<<<<<<<<<<<< @@ -16730,18 +15155,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyO * PyErr_Clear() */ __Pyx_XDECREF(__pyx_r); 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__pyx_lineno = 2640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2641; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_oa)); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_oa)); @@ -16797,62 +15214,46 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyO PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2641; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); 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if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2641; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2642; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_kp_108); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_kp_108); __Pyx_GIVEREF(__pyx_kp_108); - /* __pyx_t_5 allocated */ - __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2641; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2642; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_4 released */ __Pyx_Raise(__pyx_t_5, 0, 0); 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__pyx_lineno = 2642; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = __pyx_f_6mtrand_discd_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_zipf, __pyx_v_size, __pyx_v_oa); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -16885,7 +15284,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_zipf(PyObject *__pyx_v_self, PyO return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2644 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2645 * return discd_array(self.internal_state, rk_zipf, size, oa) * * def geometric(self, p, size=None): # <<<<<<<<<<<<<< @@ -16931,7 +15330,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_geometric(PyObject *__pyx_v_self } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "geometric") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2644; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "geometric") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2645; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_p = values[0]; __pyx_v_size = values[1]; @@ -16946,14 +15345,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_geometric(PyObject *__pyx_v_self } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("geometric", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2644; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("geometric", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2645; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.geometric"); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_v_op = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2692 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2693 * cdef double fp * * fp = PyFloat_AsDouble(p) # <<<<<<<<<<<<<< @@ -16962,95 +15361,81 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_geometric(PyObject *__pyx_v_self */ __pyx_v_fp = PyFloat_AsDouble(__pyx_v_p); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2693 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2694 * * fp = PyFloat_AsDouble(p) * if not PyErr_Occurred(): # <<<<<<<<<<<<<< * if fp < 0.0: * raise ValueError("p < 0.0") */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (!PyErr_Occurred()); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2694 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2695 * fp = PyFloat_AsDouble(p) * if not PyErr_Occurred(): * if fp < 0.0: # <<<<<<<<<<<<<< * raise ValueError("p < 0.0") * if fp > 1.0: */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fp < 0.0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2695 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2696 * if not PyErr_Occurred(): * if fp < 0.0: * raise ValueError("p < 0.0") # <<<<<<<<<<<<<< * if fp > 1.0: * raise ValueError("p > 1.0") */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __Pyx_INCREF(__pyx_kp_109); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_109); __Pyx_GIVEREF(__pyx_kp_109); - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_3, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - /* __pyx_t_3 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2695; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2696; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2696 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2697 * if fp < 0.0: * raise ValueError("p < 0.0") * if fp > 1.0: # <<<<<<<<<<<<<< * raise ValueError("p > 1.0") * return discd_array_sc(self.internal_state, rk_geometric, size, fp) */ - /* __pyx_t_1 allocated */ __pyx_t_1 = (__pyx_v_fp > 1.0); if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2697 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2698 * raise ValueError("p < 0.0") * if fp > 1.0: * raise ValueError("p > 1.0") # <<<<<<<<<<<<<< * return discd_array_sc(self.internal_state, rk_geometric, size, fp) * */ - /* __pyx_t_3 allocated */ - __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2697; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2698; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_INCREF(__pyx_kp_110); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_110); __Pyx_GIVEREF(__pyx_kp_110); - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2697; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2698; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; - /* __pyx_t_3 released */ __Pyx_Raise(__pyx_t_2, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2697; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2698; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2698 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2699 * if fp > 1.0: * raise ValueError("p > 1.0") * return discd_array_sc(self.internal_state, rk_geometric, size, fp) # <<<<<<<<<<<<<< @@ -17058,18 +15443,16 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_geometric(PyObject *__pyx_v_self * PyErr_Clear() */ __Pyx_XDECREF(__pyx_r); 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if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2706; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2707; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2707 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2708 * raise ValueError("p < 0.0") * if np.any(np.greater(op, 1.0)): * raise ValueError("p > 1.0") # <<<<<<<<<<<<<< * return discd_array(self.internal_state, rk_geometric, size, op) * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2707; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; 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if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2709; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; - /* __pyx_t_3 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -17299,7 +15638,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_geometric(PyObject *__pyx_v_self return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2710 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2711 * return discd_array(self.internal_state, rk_geometric, size, op) * * def hypergeometric(self, ngood, nbad, nsample, size=None): # <<<<<<<<<<<<<< @@ -17351,13 +15690,13 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_hypergeometric(PyObject *__pyx_v values[1] = PyDict_GetItem(__pyx_kwds, __pyx_kp_nbad); if (likely(values[1])) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("hypergeometric", 0, 3, 4, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2710; 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__pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2808; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ if (__pyx_t_1) { - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2808 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2809 * raise ValueError("nsample < 1") * if ngood + nbad < nsample: * raise ValueError("ngood + nbad < nsample") # <<<<<<<<<<<<<< * return discnmN_array_sc(self.internal_state, rk_hypergeometric, size, * lngood, lnbad, lnsample) */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2808; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2809; 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- /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2827 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2828 * raise ValueError("ngood + nbad < nsample") * return discnmN_array(self.internal_state, rk_hypergeometric, size, * ongood, onbad, onsample) # <<<<<<<<<<<<<< * * def logseries(self, p, size=None): */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = __pyx_f_6mtrand_discnmN_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_hypergeometric, __pyx_v_size, __pyx_v_ongood, __pyx_v_onbad, __pyx_v_onsample); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = __pyx_f_6mtrand_discnmN_array(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, rk_hypergeometric, __pyx_v_size, __pyx_v_ongood, __pyx_v_onbad, __pyx_v_onsample); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); @@ -18091,7 +16306,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_hypergeometric(PyObject *__pyx_v return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":2829 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":2830 * ongood, onbad, onsample) * * def logseries(self, p, size=None): # <<<<<<<<<<<<<< @@ -18137,7 +16352,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_logseries(PyObject *__pyx_v_self } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "logseries") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 2829; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "logseries") < 0)) {__pyx_filename = __pyx_f[0]; 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__Pyx_INCREF(__pyx_kp_svd); PyList_SET_ITEM(__pyx_t_8, 0, __pyx_kp_svd); __Pyx_GIVEREF(__pyx_kp_svd); - __pyx_1 = __Pyx_Import(__pyx_kp_128, ((PyObject *)__pyx_t_8)); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3047; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_1 = __Pyx_Import(__pyx_kp_128, ((PyObject *)__pyx_t_8)); if (unlikely(!__pyx_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3048; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_1); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; - /* __pyx_t_8 released */ - __pyx_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_svd); if (unlikely(!__pyx_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3047; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_2 = PyObject_GetAttr(__pyx_1, __pyx_kp_svd); if (unlikely(!__pyx_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3048; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_2); __Pyx_DECREF(__pyx_v_svd); __pyx_v_svd = __pyx_2; 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if (likely(values[1])) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("multinomial", 0, 2, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3057; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("multinomial", 0, 2, 3, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3058; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (kw_args > 1) { @@ -19397,9 +17424,9 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "multinomial") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3057; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "multinomial") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3058; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } - __pyx_v_n = __pyx_PyInt_long(values[0]); if (unlikely((__pyx_v_n == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3057; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __pyx_v_n = __Pyx_PyInt_AsLong(values[0]); if (unlikely((__pyx_v_n == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3058; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_v_pvals = values[1]; __pyx_v_size = values[2]; } else { @@ -19409,14 +17436,14 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se __pyx_v_size = PyTuple_GET_ITEM(__pyx_args, 2); case 2: __pyx_v_pvals = PyTuple_GET_ITEM(__pyx_args, 1); - __pyx_v_n = __pyx_PyInt_long(PyTuple_GET_ITEM(__pyx_args, 0)); if (unlikely((__pyx_v_n == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3057; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __pyx_v_n = __Pyx_PyInt_AsLong(PyTuple_GET_ITEM(__pyx_args, 0)); if (unlikely((__pyx_v_n == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; 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if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3116; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = PyObject_Length(__pyx_v_pvals); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3117; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_d = __pyx_t_1; - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3117 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3118 * * d = len(pvals) * parr = <ndarray>PyArray_ContiguousFromObject(pvals, NPY_DOUBLE, 1, 1) # <<<<<<<<<<<<<< * pix = <double*>parr.data * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyArray_ContiguousFromObject(__pyx_v_pvals, NPY_DOUBLE, 1, 1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3117; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyArray_ContiguousFromObject(__pyx_v_pvals, NPY_DOUBLE, 1, 1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; 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if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3121; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3122; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; - /* __pyx_t_2 released */ __Pyx_Raise(__pyx_t_4, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3121; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3122; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3123 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3124 * raise ValueError("sum(pvals[:-1]) > 1.0") * * if size is None: # <<<<<<<<<<<<<< * shape = (d,) * elif type(size) is int: */ - /* __pyx_t_3 allocated */ __pyx_t_3 = (__pyx_v_size == Py_None); 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__pyx_lineno = 3131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_INCREF(__pyx_v_shape); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_shape); @@ -19641,19 +17634,15 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se __Pyx_INCREF(((PyObject *)((PyObject*)&PyInt_Type))); PyTuple_SET_ITEM(__pyx_t_4, 1, ((PyObject *)((PyObject*)&PyInt_Type))); __Pyx_GIVEREF(((PyObject *)((PyObject*)&PyInt_Type))); - /* __pyx_t_5 allocated */ - __pyx_t_5 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_5 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_4 released */ __Pyx_DECREF(__pyx_v_multin); __pyx_v_multin = __pyx_t_5; __pyx_t_5 = 0; - /* __pyx_t_5 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3131 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3132 * * multin = np.zeros(shape, int) * mnarr = <ndarray>multin # <<<<<<<<<<<<<< @@ -19664,7 +17653,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se __Pyx_DECREF(((PyObject *)arrayObject_mnarr)); arrayObject_mnarr = ((PyArrayObject *)__pyx_v_multin); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3132 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3133 * multin = np.zeros(shape, int) * mnarr = <ndarray>multin * mnix = <long*>mnarr.data # <<<<<<<<<<<<<< @@ -19673,7 +17662,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se */ __pyx_v_mnix = ((long *)arrayObject_mnarr->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3133 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3134 * mnarr = <ndarray>multin * mnix = <long*>mnarr.data * i = 0 # <<<<<<<<<<<<<< @@ -19682,7 +17671,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se */ __pyx_v_i = 0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3134 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3135 * mnix = <long*>mnarr.data * i = 0 * while i < PyArray_SIZE(mnarr): # <<<<<<<<<<<<<< @@ -19690,12 +17679,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se * dn = n */ while (1) { - /* __pyx_t_3 allocated */ __pyx_t_3 = (__pyx_v_i < PyArray_SIZE(arrayObject_mnarr)); if (!__pyx_t_3) break; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3135 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3136 * i = 0 * while i < PyArray_SIZE(mnarr): * Sum = 1.0 # <<<<<<<<<<<<<< @@ -19704,7 +17691,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se */ __pyx_v_Sum = 1.0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3136 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3137 * while i < PyArray_SIZE(mnarr): * Sum = 1.0 * dn = n # <<<<<<<<<<<<<< @@ -19713,18 +17700,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se */ __pyx_v_dn = __pyx_v_n; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3137 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3138 * Sum = 1.0 * dn = n * for j from 0 <= j < d-1: # <<<<<<<<<<<<<< * mnix[i+j] = rk_binomial(self.internal_state, dn, pix[j]/Sum) * dn = dn - mnix[i+j] */ - /* __pyx_t_6 allocated */ __pyx_t_6 = (__pyx_v_d - 1); for (__pyx_v_j = 0; __pyx_v_j < __pyx_t_6; __pyx_v_j++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3138 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3139 * dn = n * for j from 0 <= j < d-1: * mnix[i+j] = rk_binomial(self.internal_state, dn, pix[j]/Sum) # <<<<<<<<<<<<<< @@ -19733,7 +17719,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se */ (__pyx_v_mnix[(__pyx_v_i + __pyx_v_j)]) = rk_binomial(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, __pyx_v_dn, ((__pyx_v_pix[__pyx_v_j]) / __pyx_v_Sum)); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3139 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3140 * for j from 0 <= j < d-1: * mnix[i+j] = rk_binomial(self.internal_state, dn, pix[j]/Sum) * dn = dn - mnix[i+j] # <<<<<<<<<<<<<< @@ -19742,19 +17728,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se */ __pyx_v_dn = (__pyx_v_dn - (__pyx_v_mnix[(__pyx_v_i + __pyx_v_j)])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3140 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3141 * mnix[i+j] = rk_binomial(self.internal_state, dn, pix[j]/Sum) * dn = dn - mnix[i+j] * if dn <= 0: # <<<<<<<<<<<<<< * break * Sum = Sum - pix[j] */ - /* __pyx_t_3 allocated */ __pyx_t_3 = (__pyx_v_dn <= 0); if (__pyx_t_3) { - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3141 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3142 * dn = dn - mnix[i+j] * if dn <= 0: * break # <<<<<<<<<<<<<< @@ -19766,7 +17750,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se } __pyx_L12:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3142 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3143 * if dn <= 0: * break * Sum = Sum - pix[j] # <<<<<<<<<<<<<< @@ -19776,21 +17760,18 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se __pyx_v_Sum = (__pyx_v_Sum - (__pyx_v_pix[__pyx_v_j])); } __pyx_L11_break:; - /* __pyx_t_6 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3143 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3144 * break * Sum = Sum - pix[j] * if dn > 0: # <<<<<<<<<<<<<< * mnix[i+d-1] = dn * */ - /* __pyx_t_3 allocated */ __pyx_t_3 = (__pyx_v_dn > 0); if (__pyx_t_3) { - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3144 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3145 * Sum = Sum - pix[j] * if dn > 0: * mnix[i+d-1] = dn # <<<<<<<<<<<<<< @@ -19802,7 +17783,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se } __pyx_L13:; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3146 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3147 * mnix[i+d-1] = dn * * i = i + d # <<<<<<<<<<<<<< @@ -19812,7 +17793,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se __pyx_v_i = (__pyx_v_i + __pyx_v_d); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3148 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3149 * i = i + d * * return multin # <<<<<<<<<<<<<< @@ -19843,7 +17824,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_multinomial(PyObject *__pyx_v_se return __pyx_r; } -/* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3150 +/* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3151 * return multin * * def dirichlet(self, object alpha, size=None): # <<<<<<<<<<<<<< @@ -19875,6 +17856,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self int __pyx_t_3; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; + long __pyx_t_6; static PyObject **__pyx_pyargnames[] = {&__pyx_kp_alpha,&__pyx_kp_size,0}; __Pyx_SetupRefcountContext("dirichlet"); if (unlikely(__pyx_kwds)) { @@ -19899,7 +17881,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "dirichlet") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3150; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, PyTuple_GET_SIZE(__pyx_args), "dirichlet") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3151; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } __pyx_v_alpha = values[0]; __pyx_v_size = values[1]; @@ -19914,7 +17896,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("dirichlet", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3150; __pyx_clineno = __LINE__; goto __pyx_L3_error;} + __Pyx_RaiseArgtupleInvalid("dirichlet", 0, 1, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3151; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("mtrand.RandomState.dirichlet"); return NULL; @@ -19924,35 +17906,31 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self __pyx_v_shape = Py_None; __Pyx_INCREF(Py_None); __pyx_v_diric = Py_None; __Pyx_INCREF(Py_None); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3214 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3215 * cdef double acc, invacc * * k = len(alpha) # <<<<<<<<<<<<<< * alpha_arr = <ndarray>PyArray_ContiguousFromObject(alpha, NPY_DOUBLE, 1, 1) * alpha_data = <double*>alpha_arr.data */ - /* __pyx_t_1 allocated */ - __pyx_t_1 = PyObject_Length(__pyx_v_alpha); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3214; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = PyObject_Length(__pyx_v_alpha); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_k = __pyx_t_1; - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3215 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3216 * * k = len(alpha) * alpha_arr = <ndarray>PyArray_ContiguousFromObject(alpha, NPY_DOUBLE, 1, 1) # <<<<<<<<<<<<<< * alpha_data = <double*>alpha_arr.data * */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyArray_ContiguousFromObject(__pyx_v_alpha, NPY_DOUBLE, 1, 1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyArray_ContiguousFromObject(__pyx_v_alpha, NPY_DOUBLE, 1, 1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3216; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)((PyArrayObject *)__pyx_t_2))); __Pyx_DECREF(((PyObject *)__pyx_v_alpha_arr)); __pyx_v_alpha_arr = ((PyArrayObject *)__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3216 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3217 * k = len(alpha) * alpha_arr = <ndarray>PyArray_ContiguousFromObject(alpha, NPY_DOUBLE, 1, 1) * alpha_data = <double*>alpha_arr.data # <<<<<<<<<<<<<< @@ -19961,79 +17939,65 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ __pyx_v_alpha_data = ((double *)__pyx_v_alpha_arr->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3218 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3219 * alpha_data = <double*>alpha_arr.data * * if size is None: # <<<<<<<<<<<<<< * shape = (k,) * elif type(size) is int: */ - /* __pyx_t_3 allocated */ __pyx_t_3 = (__pyx_v_size == Py_None); if (__pyx_t_3) { - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3219 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3220 * * if size is None: * shape = (k,) # <<<<<<<<<<<<<< * elif type(size) is int: * shape = (size, k) */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3220; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); - /* __pyx_t_4 allocated */ - __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3220; __pyx_clineno = __LINE__; 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__Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_2 allocated */ - __pyx_t_2 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3225; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_2 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; - /* __pyx_t_4 released */ - /* __pyx_t_5 released */ __Pyx_DECREF(__pyx_v_diric); __pyx_v_diric = __pyx_t_2; __pyx_t_2 = 0; - /* __pyx_t_2 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3226 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3227 * * diric = np.zeros(shape, np.float64) * val_arr = <ndarray>diric # <<<<<<<<<<<<<< @@ -20131,7 +18079,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self __Pyx_DECREF(((PyObject *)__pyx_v_val_arr)); __pyx_v_val_arr = ((PyArrayObject *)__pyx_v_diric); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3227 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3228 * diric = np.zeros(shape, np.float64) * val_arr = <ndarray>diric * val_data= <double*>val_arr.data # <<<<<<<<<<<<<< @@ -20140,7 +18088,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ __pyx_v_val_data = ((double *)__pyx_v_val_arr->data); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3229 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3230 * val_data= <double*>val_arr.data * * i = 0 # <<<<<<<<<<<<<< @@ -20149,7 +18097,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ __pyx_v_i = 0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3230 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3231 * * i = 0 * totsize = PyArray_SIZE(val_arr) # <<<<<<<<<<<<<< @@ -20158,7 +18106,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ __pyx_v_totsize = PyArray_SIZE(__pyx_v_val_arr); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3231 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3232 * i = 0 * totsize = PyArray_SIZE(val_arr) * while i < totsize: # <<<<<<<<<<<<<< @@ -20166,12 +18114,10 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self * for j from 0 <= j < k: */ while (1) { - /* __pyx_t_3 allocated */ __pyx_t_3 = (__pyx_v_i < __pyx_v_totsize); if (!__pyx_t_3) break; - /* __pyx_t_3 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3232 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3233 * totsize = PyArray_SIZE(val_arr) * while i < totsize: * acc = 0.0 # <<<<<<<<<<<<<< @@ -20180,16 +18126,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ __pyx_v_acc = 0.0; - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3233 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3234 * while i < totsize: * acc = 0.0 * for j from 0 <= j < k: # <<<<<<<<<<<<<< * val_data[i+j] = rk_standard_gamma(self.internal_state, alpha_data[j]) * acc = acc + val_data[i+j] */ - for (__pyx_v_j = 0; __pyx_v_j < __pyx_v_k; __pyx_v_j++) { + __pyx_t_6 = __pyx_v_k; + for (__pyx_v_j = 0; __pyx_v_j < __pyx_t_6; __pyx_v_j++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3234 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3235 * acc = 0.0 * for j from 0 <= j < k: * val_data[i+j] = rk_standard_gamma(self.internal_state, alpha_data[j]) # <<<<<<<<<<<<<< @@ -20198,7 +18145,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ (__pyx_v_val_data[(__pyx_v_i + __pyx_v_j)]) = rk_standard_gamma(((struct __pyx_obj_6mtrand_RandomState *)__pyx_v_self)->internal_state, (__pyx_v_alpha_data[__pyx_v_j])); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3235 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3236 * for j from 0 <= j < k: * val_data[i+j] = rk_standard_gamma(self.internal_state, alpha_data[j]) * acc = acc + val_data[i+j] # <<<<<<<<<<<<<< @@ -20208,7 +18155,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self __pyx_v_acc = (__pyx_v_acc + (__pyx_v_val_data[(__pyx_v_i + __pyx_v_j)])); } - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3236 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3237 * val_data[i+j] = rk_standard_gamma(self.internal_state, alpha_data[j]) * acc = acc + val_data[i+j] * invacc = 1/acc # <<<<<<<<<<<<<< @@ -20217,16 +18164,17 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self */ __pyx_v_invacc = (1 / __pyx_v_acc); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3237 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3238 * acc = acc + val_data[i+j] * invacc = 1/acc * for j from 0 <= j < k: # <<<<<<<<<<<<<< * val_data[i+j] = val_data[i+j] * invacc * i = i + k */ - for (__pyx_v_j = 0; __pyx_v_j < __pyx_v_k; __pyx_v_j++) { + __pyx_t_6 = __pyx_v_k; + for (__pyx_v_j = 0; __pyx_v_j < __pyx_t_6; __pyx_v_j++) { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3238 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3239 * invacc = 1/acc * for j from 0 <= j < k: * val_data[i+j] = val_data[i+j] * invacc # <<<<<<<<<<<<<< @@ -20236,7 +18184,7 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_dirichlet(PyObject *__pyx_v_self (__pyx_v_val_data[(__pyx_v_i + __pyx_v_j)]) = ((__pyx_v_val_data[(__pyx_v_i + __pyx_v_j)]) * __pyx_v_invacc); 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PyObject *__pyx_3 = 0; Py_ssize_t __pyx_t_1; - int __pyx_t_2; - int __pyx_t_3; + PyObject *__pyx_t_2 = NULL; + PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; - PyObject *__pyx_t_5 = NULL; - PyObject *__pyx_t_6 = NULL; + int __pyx_t_5; + int __pyx_t_6; __Pyx_SetupRefcountContext("shuffle"); - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3254 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3255 * cdef int copy * * i = len(x) - 1 # <<<<<<<<<<<<<< * try: * j = len(x[0]) */ - /* __pyx_t_1 allocated */ - __pyx_t_1 = PyObject_Length(__pyx_v_x); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3254; __pyx_clineno = __LINE__; goto __pyx_L1_error;} + __pyx_t_1 = PyObject_Length(__pyx_v_x); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3255; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_i = (__pyx_t_1 - 1); - /* __pyx_t_1 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3255 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3256 * * i = len(x) - 1 * try: # <<<<<<<<<<<<<< @@ -20330,20 +18276,18 @@ static PyObject *__pyx_pf_6mtrand_11RandomState_shuffle(PyObject *__pyx_v_self, __Pyx_XGOTREF(__pyx_save_exc_tb); /*try:*/ { - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3256 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3257 * i = len(x) - 1 * try: * j = len(x[0]) # <<<<<<<<<<<<<< * except: * j = 0 */ - __pyx_1 = __Pyx_GetItemInt(__pyx_v_x, 0, sizeof(long), PyInt_FromLong); if (!__pyx_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3256; __pyx_clineno = __LINE__; goto __pyx_L5_error;} + __pyx_1 = __Pyx_GetItemInt(__pyx_v_x, 0, sizeof(long), PyInt_FromLong); if (!__pyx_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3257; __pyx_clineno = __LINE__; goto __pyx_L5_error;} __Pyx_GOTREF(__pyx_1); - /* __pyx_t_1 allocated */ - __pyx_t_1 = PyObject_Length(__pyx_1); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3256; __pyx_clineno = __LINE__; goto __pyx_L5_error;} + __pyx_t_1 = PyObject_Length(__pyx_1); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3257; __pyx_clineno = __LINE__; goto __pyx_L5_error;} __Pyx_DECREF(__pyx_1); 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goto __pyx_L1_error;} + __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 3312; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; - /* __pyx_t_2 released */ - /* __pyx_t_1 released */ __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; - /* __pyx_t_4 released */ - /* "/home/charris/Workspace/numpy.git/numpy/random/mtrand/mtrand.pyx":3312 + /* "/home/pauli/koodi/proj/scipy/numpy/numpy/random/mtrand/mtrand.pyx":3313 * arr = np.array(x) * self.shuffle(arr) * return arr # <<<<<<<<<<<<<< @@ -20897,7 +18797,11 @@ static PyNumberMethods __pyx_tp_as_number_RandomState = { 0, /*nb_coerce*/ #endif 0, /*nb_int*/ + #if PY_MAJOR_VERSION >= 3 + 0, /*reserved*/ + #else 0, /*nb_long*/ + #endif 0, /*nb_float*/ #if PY_MAJOR_VERSION < 3 0, /*nb_oct*/ @@ -21036,6 +18940,7 @@ static struct PyModuleDef __pyx_moduledef = { #endif static __Pyx_StringTabEntry __pyx_string_tab[] = { + {&__pyx_kp___main__, __pyx_k___main__, sizeof(__pyx_k___main__), 1, 1, 1}, {&__pyx_kp___init__, __pyx_k___init__, sizeof(__pyx_k___init__), 1, 1, 1}, {&__pyx_kp___dealloc__, __pyx_k___dealloc__, sizeof(__pyx_k___dealloc__), 1, 1, 1}, {&__pyx_kp_seed, __pyx_k_seed, sizeof(__pyx_k_seed), 1, 1, 1}, @@ -21304,6 +19209,12 @@ PyMODINIT_FUNC PyInit_mtrand(void) __pyx_empty_tuple = PyTuple_New(0); 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__pyx_L1_error:; __Pyx_XDECREF(__pyx_1); + __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("mtrand"); Py_DECREF(__pyx_m); __pyx_m = 0; __pyx_L0:; @@ -22495,6 +20278,41 @@ bad: } +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { + PyObject *tmp_type, *tmp_value, *tmp_tb; + PyThreadState *tstate = PyThreadState_GET(); + *type = tstate->curexc_type; + *value = tstate->curexc_value; + *tb = tstate->curexc_traceback; + tstate->curexc_type = 0; + tstate->curexc_value = 0; + tstate->curexc_traceback = 0; + PyErr_NormalizeException(type, value, tb); + if (PyErr_Occurred()) + goto bad; + Py_INCREF(*type); + Py_INCREF(*value); + Py_INCREF(*tb); + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = *type; + tstate->exc_value = *value; + tstate->exc_traceback = *tb; + /* Make sure tstate is in a consistent state when we XDECREF + these objects (XDECREF may run arbitrary code). */ + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); + return 0; +bad: + Py_XDECREF(*type); + Py_XDECREF(*value); + Py_XDECREF(*tb); + return -1; +} + + static INLINE int __Pyx_CheckKeywordStrings( PyObject *kwdict, const char* function_name, @@ -22715,16 +20533,25 @@ static INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject ** } +static INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { + PyErr_Format(PyExc_ValueError, + #if PY_VERSION_HEX < 0x02050000 + "need more than %d value%s to unpack", (int)index, + #else + "need more than %zd value%s to unpack", index, + #endif + (index == 1) ? "" : "s"); +} + +static INLINE void __Pyx_RaiseTooManyValuesError(void) { + PyErr_SetString(PyExc_ValueError, "too many values to unpack"); +} + static PyObject *__Pyx_UnpackItem(PyObject *iter, Py_ssize_t index) { PyObject *item; if (!(item = PyIter_Next(iter))) { if (!PyErr_Occurred()) { - PyErr_Format(PyExc_ValueError, - #if PY_VERSION_HEX < 0x02050000 - "need more than %d values to unpack", (int)index); - #else - "need more than %zd values to unpack", index); - #endif + __Pyx_RaiseNeedMoreValuesError(index); } } return item; @@ -22734,7 +20561,7 @@ static int __Pyx_EndUnpack(PyObject *iter) { PyObject *item; if ((item = PyIter_Next(iter))) { Py_DECREF(item); - PyErr_SetString(PyExc_ValueError, "too many values to unpack"); + __Pyx_RaiseTooManyValuesError(); return -1; } else if (!PyErr_Occurred()) @@ -22743,41 +20570,295 @@ static int __Pyx_EndUnpack(PyObject *iter) { return -1; } -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyThreadState *tstate = PyThreadState_GET(); - __Pyx_ErrFetch(type, value, tb); - PyErr_NormalizeException(type, value, tb); - if (PyErr_Occurred()) - goto bad; - Py_INCREF(*type); - Py_INCREF(*value); - Py_INCREF(*tb); - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = *type; - tstate->exc_value = *value; - tstate->exc_traceback = *tb; - /* Make sure tstate is in a consistent state when we XDECREF - these objects (XDECREF may run arbitrary code). */ - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); - return 0; -bad: - Py_XDECREF(*type); - Py_XDECREF(*value); - Py_XDECREF(*tb); - return -1; -} - - static INLINE int __Pyx_StrEq(const char *s1, const char *s2) { while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; } return *s1 == *s2; } +static INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) { + 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())) + return (unsigned char)-1; + if (unlikely(val < 0)) { + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to unsigned char"); + return (unsigned char)-1; + } + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to unsigned char"); + return (unsigned char)-1; + } + return (unsigned char)val; + } + return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x); +} + +static INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) { + 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())) + return (unsigned short)-1; + if (unlikely(val < 0)) { + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to unsigned short"); + return (unsigned short)-1; + } + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to unsigned short"); + return (unsigned short)-1; + } + return (unsigned short)val; + } + return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x); +} + +static INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) { + 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())) + return (unsigned int)-1; + if (unlikely(val < 0)) { + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to unsigned int"); + return (unsigned int)-1; + } + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to unsigned int"); + return (unsigned int)-1; + } + return (unsigned int)val; + } + return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x); +} + +static INLINE char __Pyx_PyInt_AsChar(PyObject* x) { + if (sizeof(char) < sizeof(long)) { + long val = __Pyx_PyInt_AsLong(x); + if (unlikely(val != (long)(char)val)) { + if (unlikely(val == -1 && PyErr_Occurred())) + return (char)-1; + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to char"); + return (char)-1; + } + return (char)val; + } + return (char)__Pyx_PyInt_AsLong(x); +} + +static INLINE short __Pyx_PyInt_AsShort(PyObject* x) { + if (sizeof(short) < sizeof(long)) { + long val = __Pyx_PyInt_AsLong(x); + if (unlikely(val != (long)(short)val)) { + if (unlikely(val == -1 && PyErr_Occurred())) + return (short)-1; + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to short"); + return (short)-1; + } + return (short)val; + } + return (short)__Pyx_PyInt_AsLong(x); +} + +static INLINE int __Pyx_PyInt_AsInt(PyObject* x) { + if (sizeof(int) < sizeof(long)) { + long val = __Pyx_PyInt_AsLong(x); + if (unlikely(val != (long)(int)val)) { + if (unlikely(val == -1 && PyErr_Occurred())) + return (int)-1; + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to int"); + return (int)-1; + } + return (int)val; + } + return (int)__Pyx_PyInt_AsLong(x); +} + +static INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) { + 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())) + return (signed char)-1; + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to signed char"); + return (signed char)-1; + } + return (signed char)val; + } + return (signed char)__Pyx_PyInt_AsSignedLong(x); +} + +static INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) { + 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())) + return (signed short)-1; + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to signed short"); + return (signed short)-1; + } + return (signed short)val; + } + return (signed short)__Pyx_PyInt_AsSignedLong(x); +} + +static INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) { + 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())) + return (signed int)-1; + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to signed int"); + return (signed int)-1; + } + return (signed int)val; + } + return (signed int)__Pyx_PyInt_AsSignedLong(x); +} + +static INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) { +#if PY_VERSION_HEX < 0x03000000 + if (likely(PyInt_CheckExact(x) || PyInt_Check(x))) { + long val = PyInt_AS_LONG(x); + if (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_CheckExact(x) || PyLong_Check(x))) { + if (unlikely(Py_SIZE(x) < 0)) { + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to unsigned long"); + return (unsigned long)-1; + } + return PyLong_AsUnsignedLong(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 INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) { +#if PY_VERSION_HEX < 0x03000000 + if (likely(PyInt_CheckExact(x) || PyInt_Check(x))) { + long val = PyInt_AS_LONG(x); + if (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_CheckExact(x) || PyLong_Check(x))) { + 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 PyLong_AsUnsignedLongLong(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 INLINE long __Pyx_PyInt_AsLong(PyObject* x) { +#if PY_VERSION_HEX < 0x03000000 + if (likely(PyInt_CheckExact(x) || PyInt_Check(x))) { + long val = PyInt_AS_LONG(x); + return (long)val; + } else +#endif + if (likely(PyLong_CheckExact(x) || PyLong_Check(x))) { + return 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 INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) { +#if PY_VERSION_HEX < 0x03000000 + if (likely(PyInt_CheckExact(x) || PyInt_Check(x))) { + long val = PyInt_AS_LONG(x); + return (PY_LONG_LONG)val; + } else +#endif + if (likely(PyLong_CheckExact(x) || PyLong_Check(x))) { + return 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 INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) { +#if PY_VERSION_HEX < 0x03000000 + if (likely(PyInt_CheckExact(x) || PyInt_Check(x))) { + long val = PyInt_AS_LONG(x); + return (signed long)val; + } else +#endif + if (likely(PyLong_CheckExact(x) || PyLong_Check(x))) { + return 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 INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) { +#if PY_VERSION_HEX < 0x03000000 + if (likely(PyInt_CheckExact(x) || PyInt_Check(x))) { + long val = PyInt_AS_LONG(x); + return (signed PY_LONG_LONG)val; + } else +#endif + if (likely(PyLong_CheckExact(x) || PyLong_Check(x))) { + return 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; + } +} + #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, @@ -22952,7 +21033,59 @@ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { /* Type Conversion Functions */ -static INLINE Py_ssize_t __pyx_PyIndex_AsSsize_t(PyObject* b) { +static INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { + if (x == Py_True) return 1; + else if ((x == Py_False) | (x == Py_None)) return 0; + else return PyObject_IsTrue(x); +} + +static 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 INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject* x = PyNumber_Index(b); if (!x) return -1; @@ -22961,7 +21094,7 @@ static INLINE Py_ssize_t __pyx_PyIndex_AsSsize_t(PyObject* b) { return ival; } -static INLINE PyObject * __pyx_PyInt_FromSize_t(size_t ival) { +static INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { #if PY_VERSION_HEX < 0x02050000 if (ival <= LONG_MAX) return PyInt_FromLong((long)ival); @@ -22975,239 +21108,16 @@ static INLINE PyObject * __pyx_PyInt_FromSize_t(size_t ival) { #endif } -static INLINE size_t __pyx_PyInt_AsSize_t(PyObject* b) { - unsigned PY_LONG_LONG val = __pyx_PyInt_AsUnsignedLongLong(b); +static 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"); + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to size_t"); return (size_t)-1; } - return val; -} - -static INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - if (x == Py_True) return 1; - else if ((x == Py_False) | (x == Py_None)) return 0; - else return PyObject_IsTrue(x); -} - -static INLINE PY_LONG_LONG __pyx_PyInt_AsLongLong(PyObject* x) { -#if PY_VERSION_HEX < 0x03000000 - if (PyInt_CheckExact(x)) { - return PyInt_AS_LONG(x); - } - else -#endif - if (PyLong_CheckExact(x)) { - return PyLong_AsLongLong(x); - } - else { - PY_LONG_LONG val; -#if PY_VERSION_HEX < 0x03000000 - PyObject* tmp = PyNumber_Int(x); if (!tmp) return (PY_LONG_LONG)-1; - val = __pyx_PyInt_AsLongLong(tmp); -#else - PyObject* tmp = PyNumber_Long(x); if (!tmp) return (PY_LONG_LONG)-1; - val = PyLong_AsLongLong(tmp); -#endif - Py_DECREF(tmp); - return val; - } -} - -static INLINE unsigned PY_LONG_LONG __pyx_PyInt_AsUnsignedLongLong(PyObject* x) { -#if PY_VERSION_HEX < 0x03000000 - if (PyInt_CheckExact(x)) { - long val = PyInt_AS_LONG(x); - if (unlikely(val < 0)) { - PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long long"); - return (unsigned PY_LONG_LONG)-1; - } - return val; - } - else -#endif - if (PyLong_CheckExact(x)) { - return PyLong_AsUnsignedLongLong(x); - } - else { - unsigned PY_LONG_LONG val; -#if PY_VERSION_HEX < 0x03000000 - PyObject* tmp = PyNumber_Int(x); if (!tmp) return (PY_LONG_LONG)-1; - val = __pyx_PyInt_AsUnsignedLongLong(tmp); -#else - PyObject* tmp = PyNumber_Long(x); if (!tmp) return (PY_LONG_LONG)-1; - val = PyLong_AsUnsignedLongLong(tmp); -#endif - Py_DECREF(tmp); - return val; - } -} - - -static INLINE unsigned char __pyx_PyInt_unsigned_char(PyObject* x) { - if (sizeof(unsigned char) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - unsigned char val = (unsigned char)long_val; - if (unlikely((val != long_val) || (long_val < 0))) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to unsigned char"); - return (unsigned char)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE unsigned short __pyx_PyInt_unsigned_short(PyObject* x) { - if (sizeof(unsigned short) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - unsigned short val = (unsigned short)long_val; - if (unlikely((val != long_val) || (long_val < 0))) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to unsigned short"); - return (unsigned short)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE char __pyx_PyInt_char(PyObject* x) { - if (sizeof(char) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - char val = (char)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to char"); - return (char)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE short __pyx_PyInt_short(PyObject* x) { - if (sizeof(short) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - short val = (short)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to short"); - return (short)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE int __pyx_PyInt_int(PyObject* x) { - if (sizeof(int) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - int val = (int)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to int"); - return (int)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE long __pyx_PyInt_long(PyObject* x) { - if (sizeof(long) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - long val = (long)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to long"); - return (long)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } + return (size_t)val; } -static INLINE signed char __pyx_PyInt_signed_char(PyObject* x) { - if (sizeof(signed char) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - signed char val = (signed char)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to signed char"); - return (signed char)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE signed short __pyx_PyInt_signed_short(PyObject* x) { - if (sizeof(signed short) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - signed short val = (signed short)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to signed short"); - return (signed short)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE signed int __pyx_PyInt_signed_int(PyObject* x) { - if (sizeof(signed int) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - signed int val = (signed int)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to signed int"); - return (signed int)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE signed long __pyx_PyInt_signed_long(PyObject* x) { - if (sizeof(signed long) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - signed long val = (signed long)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to signed long"); - return (signed long)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} - -static INLINE long double __pyx_PyInt_long_double(PyObject* x) { - if (sizeof(long double) < sizeof(long)) { - long long_val = __pyx_PyInt_AsLong(x); - long double val = (long double)long_val; - if (unlikely((val != long_val) )) { - PyErr_SetString(PyExc_OverflowError, "value too large to convert to long double"); - return (long double)-1; - } - return val; - } - else { - return __pyx_PyInt_AsLong(x); - } -} |