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pin numpy to >=1.7, ship headers

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This commit is contained in:
Henning Peters 2016-04-19 19:50:42 +02:00
parent b98cc3266d
commit bb3238bcdd
20 changed files with 661 additions and 1015 deletions
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2
buildbot.json
View File

@ -2,6 +2,7 @@
"build": {
"sdist": [
"pip install -r requirements.txt",
"pip install \"numpy<1.8\"",
"python setup.py sdist"
],
"install": [
@ -9,6 +10,7 @@
],
"wheel": [
"python untar.py source.tar.gz .",
"pip install \"numpy<1.8\"",
"python setup.py bdist_wheel",
"python cpdist.py dist"
]

86
include/numpy/__multiarray_api.h
View File

@ -1,5 +1,5 @@
#if defined(_MULTIARRAYMODULE) || defined(WITH_CPYCHECKER_STEALS_REFERENCE_TO_ARG_ATTRIBUTE)
#ifdef _MULTIARRAYMODULE
typedef struct {
PyObject_HEAD
@ -270,7 +270,7 @@ NPY_NO_EXPORT char * PyArray_Zero \
(PyArrayObject *);
NPY_NO_EXPORT char * PyArray_One \
(PyArrayObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) NPY_GCC_NONNULL(2) PyObject * PyArray_CastToType \
NPY_NO_EXPORT PyObject * PyArray_CastToType \
(PyArrayObject *, PyArray_Descr *, int);
NPY_NO_EXPORT int PyArray_CastTo \
(PyArrayObject *, PyArrayObject *);
@ -294,7 +294,7 @@ NPY_NO_EXPORT npy_intp PyArray_Size \
(PyObject *);
NPY_NO_EXPORT PyObject * PyArray_Scalar \
(void *, PyArray_Descr *, PyObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) PyObject * PyArray_FromScalar \
NPY_NO_EXPORT PyObject * PyArray_FromScalar \
(PyObject *, PyArray_Descr *);
NPY_NO_EXPORT void PyArray_ScalarAsCtype \
(PyObject *, void *);
@ -308,13 +308,13 @@ NPY_NO_EXPORT PyArray_VectorUnaryFunc * PyArray_GetCastFunc \
(PyArray_Descr *, int);
NPY_NO_EXPORT PyObject * PyArray_FromDims \
(int, int *, int);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(3) PyObject * PyArray_FromDimsAndDataAndDescr \
NPY_NO_EXPORT PyObject * PyArray_FromDimsAndDataAndDescr \
(int, int *, PyArray_Descr *, char *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) PyObject * PyArray_FromAny \
NPY_NO_EXPORT PyObject * PyArray_FromAny \
(PyObject *, PyArray_Descr *, int, int, int, PyObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(1) PyObject * PyArray_EnsureArray \
NPY_NO_EXPORT PyObject * PyArray_EnsureArray \
(PyObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(1) PyObject * PyArray_EnsureAnyArray \
NPY_NO_EXPORT PyObject * PyArray_EnsureAnyArray \
(PyObject *);
NPY_NO_EXPORT PyObject * PyArray_FromFile \
(FILE *, PyArray_Descr *, npy_intp, char *);
@ -322,13 +322,13 @@ NPY_NO_EXPORT PyObject * PyArray_FromString \
(char *, npy_intp, PyArray_Descr *, npy_intp, char *);
NPY_NO_EXPORT PyObject * PyArray_FromBuffer \
(PyObject *, PyArray_Descr *, npy_intp, npy_intp);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) PyObject * PyArray_FromIter \
NPY_NO_EXPORT PyObject * PyArray_FromIter \
(PyObject *, PyArray_Descr *, npy_intp);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(1) PyObject * PyArray_Return \
NPY_NO_EXPORT PyObject * PyArray_Return \
(PyArrayObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) NPY_GCC_NONNULL(2) PyObject * PyArray_GetField \
NPY_NO_EXPORT PyObject * PyArray_GetField \
(PyArrayObject *, PyArray_Descr *, int);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) NPY_GCC_NONNULL(2) int PyArray_SetField \
NPY_NO_EXPORT int PyArray_SetField \
(PyArrayObject *, PyArray_Descr *, int, PyObject *);
NPY_NO_EXPORT PyObject * PyArray_Byteswap \
(PyArrayObject *, npy_bool);
@ -342,7 +342,7 @@ NPY_NO_EXPORT int PyArray_CopyAnyInto \
(PyArrayObject *, PyArrayObject *);
NPY_NO_EXPORT int PyArray_CopyObject \
(PyArrayObject *, PyObject *);
NPY_NO_EXPORT NPY_GCC_NONNULL(1) PyObject * PyArray_NewCopy \
NPY_NO_EXPORT PyObject * PyArray_NewCopy \
(PyArrayObject *, NPY_ORDER);
NPY_NO_EXPORT PyObject * PyArray_ToList \
(PyArrayObject *);
@ -358,9 +358,9 @@ NPY_NO_EXPORT int PyArray_ValidType \
(int);
NPY_NO_EXPORT void PyArray_UpdateFlags \
(PyArrayObject *, int);
NPY_NO_EXPORT NPY_GCC_NONNULL(1) PyObject * PyArray_New \
NPY_NO_EXPORT PyObject * PyArray_New \
(PyTypeObject *, int, npy_intp *, int, npy_intp *, void *, int, int, PyObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) NPY_GCC_NONNULL(1) NPY_GCC_NONNULL(2) PyObject * PyArray_NewFromDescr \
NPY_NO_EXPORT PyObject * PyArray_NewFromDescr \
(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *);
NPY_NO_EXPORT PyArray_Descr * PyArray_DescrNew \
(PyArray_Descr *);
@ -388,9 +388,9 @@ NPY_NO_EXPORT PyArray_Descr * PyArray_DescrNewByteorder \
(PyArray_Descr *, char);
NPY_NO_EXPORT PyObject * PyArray_IterAllButAxis \
(PyObject *, int *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) PyObject * PyArray_CheckFromAny \
NPY_NO_EXPORT PyObject * PyArray_CheckFromAny \
(PyObject *, PyArray_Descr *, int, int, int, PyObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) PyObject * PyArray_FromArray \
NPY_NO_EXPORT PyObject * PyArray_FromArray \
(PyArrayObject *, PyArray_Descr *, int);
NPY_NO_EXPORT PyObject * PyArray_FromInterface \
(PyObject *);
@ -446,7 +446,7 @@ NPY_NO_EXPORT PyObject * PyArray_Newshape \
(PyArrayObject *, PyArray_Dims *, NPY_ORDER);
NPY_NO_EXPORT PyObject * PyArray_Squeeze \
(PyArrayObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) PyObject * PyArray_View \
NPY_NO_EXPORT PyObject * PyArray_View \
(PyArrayObject *, PyArray_Descr *, PyTypeObject *);
NPY_NO_EXPORT PyObject * PyArray_SwapAxes \
(PyArrayObject *, int, int);
@ -496,7 +496,7 @@ NPY_NO_EXPORT void * PyArray_GetPtr \
(PyArrayObject *, npy_intp*);
NPY_NO_EXPORT int PyArray_CompareLists \
(npy_intp *, npy_intp *, int);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(5) int PyArray_AsCArray \
NPY_NO_EXPORT int PyArray_AsCArray \
(PyObject **, void *, npy_intp *, int, PyArray_Descr*);
NPY_NO_EXPORT int PyArray_As1D \
(PyObject **, char **, int *, int);
@ -538,9 +538,9 @@ NPY_NO_EXPORT int PyArray_OrderConverter \
(PyObject *, NPY_ORDER *);
NPY_NO_EXPORT unsigned char PyArray_EquivTypes \
(PyArray_Descr *, PyArray_Descr *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(3) PyObject * PyArray_Zeros \
NPY_NO_EXPORT PyObject * PyArray_Zeros \
(int, npy_intp *, PyArray_Descr *, int);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(3) PyObject * PyArray_Empty \
NPY_NO_EXPORT PyObject * PyArray_Empty \
(int, npy_intp *, PyArray_Descr *, int);
NPY_NO_EXPORT PyObject * PyArray_Where \
(PyObject *, PyObject *, PyObject *);
@ -746,7 +746,7 @@ NPY_NO_EXPORT npy_bool PyArray_CanCastTypeTo \
(PyArray_Descr *, PyArray_Descr *, NPY_CASTING);
NPY_NO_EXPORT PyArrayObject * PyArray_EinsteinSum \
(char *, npy_intp, PyArrayObject **, PyArray_Descr *, NPY_ORDER, NPY_CASTING, PyArrayObject *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(3) NPY_GCC_NONNULL(1) PyObject * PyArray_NewLikeArray \
NPY_NO_EXPORT PyObject * PyArray_NewLikeArray \
(PyArrayObject *, NPY_ORDER, PyArray_Descr *, int);
NPY_NO_EXPORT int PyArray_GetArrayParamsFromObject \
(PyObject *, PyArray_Descr *, npy_bool, PyArray_Descr **, int *, npy_intp *, PyArrayObject **, PyObject *);
@ -756,7 +756,7 @@ NPY_NO_EXPORT PyObject * PyArray_MatrixProduct2 \
(PyObject *, PyObject *, PyArrayObject*);
NPY_NO_EXPORT npy_bool NpyIter_IsFirstVisit \
(NpyIter *, int);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) int PyArray_SetBaseObject \
NPY_NO_EXPORT int PyArray_SetBaseObject \
(PyArrayObject *, PyObject *);
NPY_NO_EXPORT void PyArray_CreateSortedStridePerm \
(int, npy_intp *, npy_stride_sort_item *);
@ -766,7 +766,7 @@ NPY_NO_EXPORT void PyArray_DebugPrint \
(PyArrayObject *);
NPY_NO_EXPORT int PyArray_FailUnlessWriteable \
(PyArrayObject *, const char *);
NPY_NO_EXPORT NPY_STEALS_REF_TO_ARG(2) int PyArray_SetUpdateIfCopyBase \
NPY_NO_EXPORT int PyArray_SetUpdateIfCopyBase \
(PyArrayObject *, PyArrayObject *);
NPY_NO_EXPORT void * PyDataMem_NEW \
(size_t);
@ -782,22 +782,6 @@ NPY_NO_EXPORT PyDataMem_EventHookFunc * PyDataMem_SetEventHook \
NPY_NO_EXPORT NPY_CASTING NPY_DEFAULT_ASSIGN_CASTING;
#endif
NPY_NO_EXPORT void PyArray_MapIterSwapAxes \
(PyArrayMapIterObject *, PyArrayObject **, int);
NPY_NO_EXPORT PyObject * PyArray_MapIterArray \
(PyArrayObject *, PyObject *);
NPY_NO_EXPORT void PyArray_MapIterNext \
(PyArrayMapIterObject *);
NPY_NO_EXPORT int PyArray_Partition \
(PyArrayObject *, PyArrayObject *, int, NPY_SELECTKIND);
NPY_NO_EXPORT PyObject * PyArray_ArgPartition \
(PyArrayObject *, PyArrayObject *, int, NPY_SELECTKIND);
NPY_NO_EXPORT int PyArray_SelectkindConverter \
(PyObject *, NPY_SELECTKIND *);
NPY_NO_EXPORT void * PyDataMem_NEW_ZEROED \
(size_t, size_t);
NPY_NO_EXPORT NPY_GCC_NONNULL(1) int PyArray_CheckAnyScalarExact \
(PyObject *);
#else
@ -1604,30 +1588,6 @@ static void **PyArray_API=NULL;
(*(PyDataMem_EventHookFunc * (*)(PyDataMem_EventHookFunc *, void *, void **)) \
PyArray_API[291])
#define NPY_DEFAULT_ASSIGN_CASTING (*(NPY_CASTING *)PyArray_API[292])
#define PyArray_MapIterSwapAxes \
(*(void (*)(PyArrayMapIterObject *, PyArrayObject **, int)) \
PyArray_API[293])
#define PyArray_MapIterArray \
(*(PyObject * (*)(PyArrayObject *, PyObject *)) \
PyArray_API[294])
#define PyArray_MapIterNext \
(*(void (*)(PyArrayMapIterObject *)) \
PyArray_API[295])
#define PyArray_Partition \
(*(int (*)(PyArrayObject *, PyArrayObject *, int, NPY_SELECTKIND)) \
PyArray_API[296])
#define PyArray_ArgPartition \
(*(PyObject * (*)(PyArrayObject *, PyArrayObject *, int, NPY_SELECTKIND)) \
PyArray_API[297])
#define PyArray_SelectkindConverter \
(*(int (*)(PyObject *, NPY_SELECTKIND *)) \
PyArray_API[298])
#define PyDataMem_NEW_ZEROED \
(*(void * (*)(size_t, size_t)) \
PyArray_API[299])
#define PyArray_CheckAnyScalarExact \
(*(int (*)(PyObject *)) \
PyArray_API[300])
#if !defined(NO_IMPORT_ARRAY) && !defined(NO_IMPORT)
static int

15
include/numpy/__ufunc_api.h
View File

@ -14,7 +14,7 @@ NPY_NO_EXPORT PyTypeObject PyUFunc_Type;
#endif
NPY_NO_EXPORT PyObject * PyUFunc_FromFuncAndData \
(PyUFuncGenericFunction *, void **, char *, int, int, int, int, const char *, const char *, int);
(PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int);
NPY_NO_EXPORT int PyUFunc_RegisterLoopForType \
(PyUFuncObject *, int, PyUFuncGenericFunction, int *, void *);
NPY_NO_EXPORT int PyUFunc_GenericFunction \
@ -74,7 +74,7 @@ NPY_NO_EXPORT int PyUFunc_handlefperr \
NPY_NO_EXPORT int PyUFunc_ReplaceLoopBySignature \
(PyUFuncObject *, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *);
NPY_NO_EXPORT PyObject * PyUFunc_FromFuncAndDataAndSignature \
(PyUFuncGenericFunction *, void **, char *, int, int, int, int, const char *, const char *, int, const char *);
(PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int, const char *);
NPY_NO_EXPORT int PyUFunc_SetUsesArraysAsData \
(void **, size_t);
NPY_NO_EXPORT void PyUFunc_e_e \
@ -93,8 +93,6 @@ NPY_NO_EXPORT int PyUFunc_DefaultTypeResolver \
(PyUFuncObject *, NPY_CASTING, PyArrayObject **, PyObject *, PyArray_Descr **);
NPY_NO_EXPORT int PyUFunc_ValidateCasting \
(PyUFuncObject *, NPY_CASTING, PyArrayObject **, PyArray_Descr **);
NPY_NO_EXPORT int PyUFunc_RegisterLoopForDescr \
(PyUFuncObject *, PyArray_Descr *, PyUFuncGenericFunction, PyArray_Descr **, void *);
#else
@ -114,7 +112,7 @@ static void **PyUFunc_API=NULL;
#define PyUFunc_Type (*(PyTypeObject *)PyUFunc_API[0])
#define PyUFunc_FromFuncAndData \
(*(PyObject * (*)(PyUFuncGenericFunction *, void **, char *, int, int, int, int, const char *, const char *, int)) \
(*(PyObject * (*)(PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int)) \
PyUFunc_API[1])
#define PyUFunc_RegisterLoopForType \
(*(int (*)(PyUFuncObject *, int, PyUFuncGenericFunction, int *, void *)) \
@ -204,7 +202,7 @@ static void **PyUFunc_API=NULL;
(*(int (*)(PyUFuncObject *, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *)) \
PyUFunc_API[30])
#define PyUFunc_FromFuncAndDataAndSignature \
(*(PyObject * (*)(PyUFuncGenericFunction *, void **, char *, int, int, int, int, const char *, const char *, int, const char *)) \
(*(PyObject * (*)(PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int, const char *)) \
PyUFunc_API[31])
#define PyUFunc_SetUsesArraysAsData \
(*(int (*)(void **, size_t)) \
@ -233,11 +231,8 @@ static void **PyUFunc_API=NULL;
#define PyUFunc_ValidateCasting \
(*(int (*)(PyUFuncObject *, NPY_CASTING, PyArrayObject **, PyArray_Descr **)) \
PyUFunc_API[40])
#define PyUFunc_RegisterLoopForDescr \
(*(int (*)(PyUFuncObject *, PyArray_Descr *, PyUFuncGenericFunction, PyArray_Descr **, void *)) \
PyUFunc_API[41])
static NPY_INLINE int
static int
_import_umath(void)
{
PyObject *numpy = PyImport_ImportModule("numpy.core.umath");

4
include/numpy/_numpyconfig.h
View File

@ -8,7 +8,6 @@
#define NPY_SIZEOF_LONGDOUBLE 16
#define NPY_SIZEOF_COMPLEX_LONGDOUBLE 32
#define NPY_SIZEOF_PY_INTPTR_T 8
#define NPY_SIZEOF_OFF_T 8
#define NPY_SIZEOF_PY_LONG_LONG 8
#define NPY_SIZEOF_LONGLONG 8
#define NPY_NO_SMP 0
@ -20,11 +19,10 @@
#define NPY_HAVE_COMPLEX_DOUBLE 1
#define NPY_HAVE_COMPLEX_FLOAT 1
#define NPY_HAVE_COMPLEX_LONG_DOUBLE 1
#define NPY_ENABLE_SEPARATE_COMPILATION 1
#define NPY_USE_C99_FORMATS 1
#define NPY_VISIBILITY_HIDDEN __attribute__((visibility("hidden")))
#define NPY_ABI_VERSION 0x01000009
#define NPY_API_VERSION 0x0000000A
#define NPY_API_VERSION 0x00000007
#ifndef __STDC_FORMAT_MACROS
#define __STDC_FORMAT_MACROS 1

11
include/numpy/arrayobject.h
View File

@ -1,3 +1,14 @@
/* This expects the following variables to be defined (besides
the usual ones from pyconfig.h
SIZEOF_LONG_DOUBLE -- sizeof(long double) or sizeof(double) if no
long double is present on platform.
CHAR_BIT -- number of bits in a char (usually 8)
(should be in limits.h)
*/
#ifndef Py_ARRAYOBJECT_H
#define Py_ARRAYOBJECT_H

82
include/numpy/multiarray_api.txt
View File

@ -85,7 +85,7 @@ Get pointer to one of correct type for array
For backward compatibility
Cast an array using typecode structure.
steals reference to dtype --- cannot be NULL
steals reference to at --- cannot be NULL
This function always makes a copy of arr, even if the dtype
doesn't change.
@ -356,7 +356,6 @@ steals a reference to dtype (which cannot be NULL)
Return either an array or the appropriate Python object if the array
is 0d and matches a Python type.
steals reference to mp
::
@ -365,7 +364,6 @@ steals reference to mp
offset)
Get a subset of bytes from each element of the array
steals reference to typed, must not be NULL
::
@ -374,7 +372,6 @@ steals reference to typed, must not be NULL
offset, PyObject *val)
Set a subset of bytes from each element of the array
steals reference to dtype, must not be NULL
::
@ -1109,7 +1106,7 @@ as you get a new reference to it.
PyArray_IntpFromSequence(PyObject *seq, npy_intp *vals, int maxvals)
PyArray_IntpFromSequence
Returns the number of integers converted or -1 if an error occurred.
Returns the number of dimensions or -1 if an error occurred.
vals must be large enough to hold maxvals
::
@ -2181,7 +2178,7 @@ int ndim = 0;
npy_intp dims[NPY_MAXDIMS];
if (PyArray_GetArrayParamsFromObject(op, NULL, 1, &dtype,
&ndim, dims, &arr, NULL) < 0) {
&ndim, &dims, &arr, NULL) < 0) {
return NULL;
}
if (arr == NULL) {
@ -2221,7 +2218,7 @@ could be applied to each axis, like in ravel_multi_index.
PyArray_MatrixProduct2(PyObject *op1, PyObject
*op2, PyArrayObject*out)
Numeric.matrixproduct2(a,v,out)
Numeric.matrixproduct(a,v,out)
just like inner product but does the swapaxes stuff on the fly
::
@ -2287,10 +2284,6 @@ index zero for that axis.
WARNING: If an axis flagged for removal has a shape equal to zero,
the array will point to invalid memory. The caller must
validate this!
If an axis flagged for removal has a shape larger then one,
the aligned flag (and in the future the contiguous flags),
may need explicite update.
(check also NPY_RELAXED_STRIDES_CHECKING)
For example, this can be used to remove the reduction axes
from a reduction result once its computation is complete.
@ -2380,70 +2373,3 @@ operations that might cause new allocation events (such as the
creation/descruction numpy objects, or creating/destroying Python
objects which might cause a gc)
::
void
PyArray_MapIterSwapAxes(PyArrayMapIterObject *mit, PyArrayObject
**ret, int getmap)
::
PyObject *
PyArray_MapIterArray(PyArrayObject *a, PyObject *index)
Use advanced indexing to iterate an array. Please note
that most of this public API is currently not guaranteed
to stay the same between versions. If you plan on using
it, please consider adding more utility functions here
to accommodate new features.
::
void
PyArray_MapIterNext(PyArrayMapIterObject *mit)
This function needs to update the state of the map iterator
and point mit->dataptr to the memory-location of the next object
Note that this function never handles an extra operand but provides
compatibility for an old (exposed) API.
::
int
PyArray_Partition(PyArrayObject *op, PyArrayObject *ktharray, int
axis, NPY_SELECTKIND which)
Partition an array in-place
::
PyObject *
PyArray_ArgPartition(PyArrayObject *op, PyArrayObject *ktharray, int
axis, NPY_SELECTKIND which)
ArgPartition an array
::
int
PyArray_SelectkindConverter(PyObject *obj, NPY_SELECTKIND *selectkind)
Convert object to select kind
::
void *
PyDataMem_NEW_ZEROED(size_t size, size_t elsize)
Allocates zeroed memory for array data.
::
int
PyArray_CheckAnyScalarExact(PyObject *obj)
return true an object is exactly a numpy scalar

30
include/numpy/ndarrayobject.h
View File

@ -14,7 +14,6 @@ extern "C" CONFUSE_EMACS
everything when you're typing */
#endif
#include <Python.h>
#include "ndarraytypes.h"
/* Includes the "function" C-API -- these are all stored in a
@ -51,26 +50,14 @@ extern "C" CONFUSE_EMACS
#define PyArray_CheckScalar(m) (PyArray_IsScalar(m, Generic) || \
PyArray_IsZeroDim(m))
#if PY_MAJOR_VERSION >= 3
#define PyArray_IsPythonNumber(obj) \
(PyFloat_Check(obj) || PyComplex_Check(obj) || \
PyLong_Check(obj) || PyBool_Check(obj))
#define PyArray_IsIntegerScalar(obj) (PyLong_Check(obj) \
|| PyArray_IsScalar((obj), Integer))
#define PyArray_IsPythonScalar(obj) \
(PyArray_IsPythonNumber(obj) || PyBytes_Check(obj) || \
PyUnicode_Check(obj))
#else
#define PyArray_IsPythonNumber(obj) \
(PyInt_Check(obj) || PyFloat_Check(obj) || PyComplex_Check(obj) || \
PyLong_Check(obj) || PyBool_Check(obj))
#define PyArray_IsIntegerScalar(obj) (PyInt_Check(obj) \
|| PyLong_Check(obj) \
|| PyArray_IsScalar((obj), Integer))
#define PyArray_IsPythonScalar(obj) \
(PyArray_IsPythonNumber(obj) || PyString_Check(obj) || \
PyUnicode_Check(obj))
#endif
#define PyArray_IsAnyScalar(obj) \
(PyArray_IsScalar(obj, Generic) || PyArray_IsPythonScalar(obj))
@ -78,6 +65,10 @@ extern "C" CONFUSE_EMACS
#define PyArray_CheckAnyScalar(obj) (PyArray_IsPythonScalar(obj) || \
PyArray_CheckScalar(obj))
#define PyArray_IsIntegerScalar(obj) (PyInt_Check(obj) \
|| PyLong_Check(obj) \
|| PyArray_IsScalar((obj), Integer))
#define PyArray_GETCONTIGUOUS(m) (PyArray_ISCONTIGUOUS(m) ? \
Py_INCREF(m), (m) : \
@ -96,7 +87,7 @@ extern "C" CONFUSE_EMACS
NULL)
#define PyArray_FROM_OT(m,type) PyArray_FromAny(m, \
PyArray_DescrFromType(type), 0, 0, 0, NULL)
PyArray_DescrFromType(type), 0, 0, 0, NULL);
#define PyArray_FROM_OTF(m, type, flags) \
PyArray_FromAny(m, PyArray_DescrFromType(type), 0, 0, \
@ -234,8 +225,15 @@ PyArray_XDECREF_ERR(PyArrayObject *arr)
(PyTuple_GET_ITEM((value), 2) == (key)))
/* Define python version independent deprecation macro */
#if PY_VERSION_HEX >= 0x02050000
#define DEPRECATE(msg) PyErr_WarnEx(PyExc_DeprecationWarning,msg,1)
#define DEPRECATE_FUTUREWARNING(msg) PyErr_WarnEx(PyExc_FutureWarning,msg,1)
#else
#define DEPRECATE(msg) PyErr_Warn(PyExc_DeprecationWarning,msg)
#define DEPRECATE_FUTUREWARNING(msg) PyErr_Warn(PyExc_FutureWarning,msg)
#endif
#ifdef __cplusplus

178
include/numpy/ndarraytypes.h
View File

@ -1,6 +1,9 @@
#ifndef NDARRAYTYPES_H
#define NDARRAYTYPES_H
/* numpyconfig.h is auto-generated by the installer */
#include "numpyconfig.h"
#include "npy_common.h"
#include "npy_endian.h"
#include "npy_cpu.h"
@ -155,12 +158,6 @@ typedef enum {
#define NPY_NSORTS (NPY_MERGESORT + 1)
typedef enum {
NPY_INTROSELECT=0
} NPY_SELECTKIND;
#define NPY_NSELECTS (NPY_INTROSELECT + 1)
typedef enum {
NPY_SEARCHLEFT=0,
NPY_SEARCHRIGHT=1
@ -202,7 +199,13 @@ typedef enum {
/* Allow safe casts or casts within the same kind */
NPY_SAME_KIND_CASTING=3,
/* Allow any casts */
NPY_UNSAFE_CASTING=4
NPY_UNSAFE_CASTING=4,
/*
* Temporary internal definition only, will be removed in upcoming
* release, see below
* */
NPY_INTERNAL_UNSAFE_CASTING_BUT_WARN_UNLESS_SAME_KIND = 100,
} NPY_CASTING;
typedef enum {
@ -391,12 +394,6 @@ typedef int (PyArray_FillFunc)(void *, npy_intp, void *);
typedef int (PyArray_SortFunc)(void *, npy_intp, void *);
typedef int (PyArray_ArgSortFunc)(void *, npy_intp *, npy_intp, void *);
typedef int (PyArray_PartitionFunc)(void *, npy_intp, npy_intp,
npy_intp *, npy_intp *,
void *);
typedef int (PyArray_ArgPartitionFunc)(void *, npy_intp *, npy_intp, npy_intp,
npy_intp *, npy_intp *,
void *);
typedef int (PyArray_FillWithScalarFunc)(void *, npy_intp, void *, void *);
@ -619,10 +616,6 @@ typedef struct _PyArray_Descr {
* for NumPy 1.7.0.
*/
NpyAuxData *c_metadata;
/* Cached hash value (-1 if not yet computed).
* This was added for NumPy 2.0.0.
*/
npy_hash_t hash;
} PyArray_Descr;
typedef struct _arr_descr {
@ -637,8 +630,8 @@ typedef struct _arr_descr {
* (PyArray_DATA and friends) to access fields here for a number of
* releases. Direct access to the members themselves is deprecated.
* To ensure that your code does not use deprecated access,
* #define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
* (or NPY_1_8_API_VERSION or higher as required).
* #define NPY_NO_DEPRECATED_API NPY_1_7_VERSION
* (or NPY_1_8_VERSION or higher as required).
*/
/* This struct will be moved to a private header in a future release */
typedef struct tagPyArrayObject_fields {
@ -685,8 +678,7 @@ typedef struct tagPyArrayObject_fields {
* To hide the implementation details, we only expose
* the Python struct HEAD.
*/
#if !defined(NPY_NO_DEPRECATED_API) || \
(NPY_NO_DEPRECATED_API < NPY_1_7_API_VERSION)
#if !(defined(NPY_NO_DEPRECATED_API) && (NPY_API_VERSION <= NPY_NO_DEPRECATED_API))
/*
* Can't put this in npy_deprecated_api.h like the others.
* PyArrayObject field access is deprecated as of NumPy 1.7.
@ -765,14 +757,7 @@ typedef int (PyArray_FinalizeFunc)(PyArrayObject *, PyObject *);
/*
* Note: all 0-d arrays are C_CONTIGUOUS and F_CONTIGUOUS. If a
* 1-d array is C_CONTIGUOUS it is also F_CONTIGUOUS. Arrays with
* more then one dimension can be C_CONTIGUOUS and F_CONTIGUOUS
* at the same time if they have either zero or one element.
* If NPY_RELAXED_STRIDES_CHECKING is set, a higher dimensional
* array is always C_CONTIGUOUS and F_CONTIGUOUS if it has zero elements
* and the array is contiguous if ndarray.squeeze() is contiguous.
* I.e. dimensions for which `ndarray.shape[dimension] == 1` are
* ignored.
* 1-d array is C_CONTIGUOUS it is also F_CONTIGUOUS
*/
/*
@ -926,16 +911,12 @@ typedef int (PyArray_FinalizeFunc)(PyArrayObject *, PyObject *);
#define PyArray_IS_C_CONTIGUOUS(m) PyArray_CHKFLAGS(m, NPY_ARRAY_C_CONTIGUOUS)
#define PyArray_IS_F_CONTIGUOUS(m) PyArray_CHKFLAGS(m, NPY_ARRAY_F_CONTIGUOUS)
/* the variable is used in some places, so always define it */
#define NPY_BEGIN_THREADS_DEF PyThreadState *_save=NULL;
#if NPY_ALLOW_THREADS
#define NPY_BEGIN_ALLOW_THREADS Py_BEGIN_ALLOW_THREADS
#define NPY_END_ALLOW_THREADS Py_END_ALLOW_THREADS
#define NPY_BEGIN_THREADS_DEF PyThreadState *_save=NULL;
#define NPY_BEGIN_THREADS do {_save = PyEval_SaveThread();} while (0);
#define NPY_END_THREADS do { if (_save) \
{ PyEval_RestoreThread(_save); _save = NULL;} } while (0);
#define NPY_BEGIN_THREADS_THRESHOLDED(loop_size) do { if (loop_size > 500) \
{ _save = PyEval_SaveThread();} } while (0);
#define NPY_END_THREADS do {if (_save) PyEval_RestoreThread(_save);} while (0);
#define NPY_BEGIN_THREADS_DESCR(dtype) \
do {if (!(PyDataType_FLAGCHK(dtype, NPY_NEEDS_PYAPI))) \
@ -951,9 +932,9 @@ typedef int (PyArray_FinalizeFunc)(PyArrayObject *, PyObject *);
#else
#define NPY_BEGIN_ALLOW_THREADS
#define NPY_END_ALLOW_THREADS
#define NPY_BEGIN_THREADS_DEF
#define NPY_BEGIN_THREADS
#define NPY_END_THREADS
#define NPY_BEGIN_THREADS_THRESHOLDED(loop_size)
#define NPY_BEGIN_THREADS_DESCR(dtype)
#define NPY_END_THREADS_DESCR(dtype)
#define NPY_ALLOW_C_API_DEF
@ -1099,6 +1080,27 @@ struct PyArrayIterObject_tag {
} \
} while (0)
#define _PyArray_ITER_NEXT3(it) do { \
if ((it)->coordinates[2] < (it)->dims_m1[2]) { \
(it)->coordinates[2]++; \
(it)->dataptr += (it)->strides[2]; \
} \
else { \
(it)->coordinates[2] = 0; \
(it)->dataptr -= (it)->backstrides[2]; \
if ((it)->coordinates[1] < (it)->dims_m1[1]) { \
(it)->coordinates[1]++; \
(it)->dataptr += (it)->strides[1]; \
} \
else { \
(it)->coordinates[1] = 0; \
(it)->coordinates[0]++; \
(it)->dataptr += (it)->strides[0] \
(it)->backstrides[1]; \
} \
} \
} while (0)
#define PyArray_ITER_NEXT(it) do { \
_PyAIT(it)->index++; \
if (_PyAIT(it)->nd_m1 == 0) { \
@ -1233,12 +1235,8 @@ typedef struct {
#define PyArray_MultiIter_NOTDONE(multi) \
(_PyMIT(multi)->index < _PyMIT(multi)->size)
/* Store the information needed for fancy-indexing over an array */
/*
* Store the information needed for fancy-indexing over an array. The
* fields are slightly unordered to keep consec, dataptr and subspace
* where they were originally.
*/
typedef struct {
PyObject_HEAD
/*
@ -1253,71 +1251,29 @@ typedef struct {
npy_intp index; /* current index */
int nd; /* number of dims */
npy_intp dimensions[NPY_MAXDIMS]; /* dimensions */
NpyIter *outer; /* index objects
iterator */
void *unused[NPY_MAXDIMS - 2];
PyArrayObject *array;
/* Flat iterator for the indexed array. For compatibility solely. */
PyArrayIterObject *ait;
PyArrayIterObject *iters[NPY_MAXDIMS]; /* index object
iterators */
PyArrayIterObject *ait; /* flat Iterator for
underlying array */
/*
* Subspace array. For binary compatibility (was an iterator,
* but only the check for NULL should be used).
*/
PyArrayObject *subspace;
/* flat iterator for subspace (when numiter < nd) */
PyArrayIterObject *subspace;
/*
* if subspace iteration, then this is the array of axes in
* the underlying array represented by the index objects
*/
int iteraxes[NPY_MAXDIMS];
npy_intp fancy_strides[NPY_MAXDIMS];
/* pointer when all fancy indices are 0 */
char *baseoffset;
/*
* after binding consec denotes at which axis the fancy axes
* are inserted.
* if subspace iteration, the these are the coordinates to the
* start of the subspace.
*/
npy_intp bscoord[NPY_MAXDIMS];
PyObject *indexobj; /* creating obj */
int consec;
char *dataptr;
int nd_fancy;
npy_intp fancy_dims[NPY_MAXDIMS];
/* Whether the iterator (any of the iterators) requires API */
int needs_api;
/*
* Extra op information.
*/
PyArrayObject *extra_op;
PyArray_Descr *extra_op_dtype; /* desired dtype */
npy_uint32 *extra_op_flags; /* Iterator flags */
NpyIter *extra_op_iter;
NpyIter_IterNextFunc *extra_op_next;
char **extra_op_ptrs;
/*
* Information about the iteration state.
*/
NpyIter_IterNextFunc *outer_next;
char **outer_ptrs;
npy_intp *outer_strides;
/*
* Information about the subspace iterator.
*/
NpyIter *subspace_iter;
NpyIter_IterNextFunc *subspace_next;
char **subspace_ptrs;
npy_intp *subspace_strides;
/* Count for the external loop (which ever it is) for API iteration */
npy_intp iter_count;
} PyArrayMapIterObject;
enum {
@ -1414,12 +1370,12 @@ PyArrayNeighborhoodIter_Next2D(PyArrayNeighborhoodIterObject* iter);
PyArray_CHKFLAGS(m, NPY_ARRAY_F_CONTIGUOUS))
#define PyArray_ISFORTRAN(m) (PyArray_CHKFLAGS(m, NPY_ARRAY_F_CONTIGUOUS) && \
(!PyArray_CHKFLAGS(m, NPY_ARRAY_C_CONTIGUOUS)))
(PyArray_NDIM(m) > 1))
#define PyArray_FORTRAN_IF(m) ((PyArray_CHKFLAGS(m, NPY_ARRAY_F_CONTIGUOUS) ? \
NPY_ARRAY_F_CONTIGUOUS : 0))
#if (defined(NPY_NO_DEPRECATED_API) && (NPY_1_7_API_VERSION <= NPY_NO_DEPRECATED_API))
#if (defined(NPY_NO_DEPRECATED_API) && (NPY_API_VERSION <= NPY_NO_DEPRECATED_API))
/*
* Changing access macros into functions, to allow for future hiding
* of the internal memory layout. This later hiding will allow the 2.x series
@ -1469,13 +1425,13 @@ PyArray_STRIDE(const PyArrayObject *arr, int istride)
return ((PyArrayObject_fields *)arr)->strides[istride];
}
static NPY_INLINE NPY_RETURNS_BORROWED_REF PyObject *
static NPY_INLINE PyObject *
PyArray_BASE(PyArrayObject *arr)
{
return ((PyArrayObject_fields *)arr)->base;
}
static NPY_INLINE NPY_RETURNS_BORROWED_REF PyArray_Descr *
static NPY_INLINE PyArray_Descr *
PyArray_DESCR(PyArrayObject *arr)
{
return ((PyArrayObject_fields *)arr)->descr;
@ -1768,30 +1724,8 @@ typedef struct {
typedef void (PyDataMem_EventHookFunc)(void *inp, void *outp, size_t size,
void *user_data);
/*
* Use the keyword NPY_DEPRECATED_INCLUDES to ensure that the header files
* npy_*_*_deprecated_api.h are only included from here and nowhere else.
*/
#ifdef NPY_DEPRECATED_INCLUDES
#error "Do not use the reserved keyword NPY_DEPRECATED_INCLUDES."
#if !(defined(NPY_NO_DEPRECATED_API) && (NPY_API_VERSION <= NPY_NO_DEPRECATED_API))
#include "npy_deprecated_api.h"
#endif
#define NPY_DEPRECATED_INCLUDES
#if !defined(NPY_NO_DEPRECATED_API) || \
(NPY_NO_DEPRECATED_API < NPY_1_7_API_VERSION)
#include "npy_1_7_deprecated_api.h"
#endif
/*
* There is no file npy_1_8_deprecated_api.h since there are no additional
* deprecated API features in NumPy 1.8.
*
* Note to maintainers: insert code like the following in future NumPy
* versions.
*
* #if !defined(NPY_NO_DEPRECATED_API) || \
* (NPY_NO_DEPRECATED_API < NPY_1_9_API_VERSION)
* #include "npy_1_9_deprecated_api.h"
* #endif
*/
#undef NPY_DEPRECATED_INCLUDES
#endif /* NPY_ARRAYTYPES_H */

6
include/numpy/noprefix.h
View File

@ -64,11 +64,8 @@
#define datetime npy_datetime
#define timedelta npy_timedelta
#define SIZEOF_LONGLONG NPY_SIZEOF_LONGLONG
#define SIZEOF_INTP NPY_SIZEOF_INTP
#define SIZEOF_UINTP NPY_SIZEOF_UINTP
#define SIZEOF_HALF NPY_SIZEOF_HALF
#define SIZEOF_LONGDOUBLE NPY_SIZEOF_LONGDOUBLE
#define SIZEOF_DATETIME NPY_SIZEOF_DATETIME
#define SIZEOF_TIMEDELTA NPY_SIZEOF_TIMEDELTA
@ -116,6 +113,9 @@
#define MIN_TIMEDELTA NPY_MIN_TIMEDELTA
#define MAX_TIMEDELTA NPY_MAX_TIMEDELTA
#define SIZEOF_LONGDOUBLE NPY_SIZEOF_LONGDOUBLE
#define SIZEOF_LONGLONG NPY_SIZEOF_LONGLONG
#define SIZEOF_HALF NPY_SIZEOF_HALF
#define BITSOF_BOOL NPY_BITSOF_BOOL
#define BITSOF_CHAR NPY_BITSOF_CHAR
#define BITSOF_SHORT NPY_BITSOF_SHORT

107
include/numpy/npy_3kcompat.h
View File

@ -141,17 +141,17 @@ PyUnicode_Concat2(PyObject **left, PyObject *right)
* PyFile_* compatibility
*/
#if defined(NPY_PY3K)
/*
* Get a FILE* handle to the file represented by the Python object
*/
static NPY_INLINE FILE*
npy_PyFile_Dup2(PyObject *file, char *mode, npy_off_t *orig_pos)
npy_PyFile_Dup(PyObject *file, char *mode)
{
int fd, fd2;
PyObject *ret, *os;
npy_off_t pos;
Py_ssize_t pos;
FILE *handle;
/* Flush first to ensure things end up in the file in the correct order */
ret = PyObject_CallMethod(file, "flush", "");
if (ret == NULL) {
@ -162,11 +162,6 @@ npy_PyFile_Dup2(PyObject *file, char *mode, npy_off_t *orig_pos)
if (fd == -1) {
return NULL;
}
/*
* The handle needs to be dup'd because we have to call fclose
* at the end
*/
os = PyImport_ImportModule("os");
if (os == NULL) {
return NULL;
@ -178,8 +173,6 @@ npy_PyFile_Dup2(PyObject *file, char *mode, npy_off_t *orig_pos)
}
fd2 = PyNumber_AsSsize_t(ret, NULL);
Py_DECREF(ret);
/* Convert to FILE* handle */
#ifdef _WIN32
handle = _fdopen(fd2, mode);
#else
@ -189,32 +182,18 @@ npy_PyFile_Dup2(PyObject *file, char *mode, npy_off_t *orig_pos)
PyErr_SetString(PyExc_IOError,
"Getting a FILE* from a Python file object failed");
}
/* Record the original raw file handle position */
*orig_pos = npy_ftell(handle);
if (*orig_pos == -1) {
PyErr_SetString(PyExc_IOError, "obtaining file position failed");
fclose(handle);
return NULL;
}
/* Seek raw handle to the Python-side position */
ret = PyObject_CallMethod(file, "tell", "");
if (ret == NULL) {
fclose(handle);
return NULL;
}
pos = PyLong_AsLongLong(ret);
pos = PyNumber_AsSsize_t(ret, PyExc_OverflowError);
Py_DECREF(ret);
if (PyErr_Occurred()) {
fclose(handle);
return NULL;
}
if (npy_fseek(handle, pos, SEEK_SET) == -1) {
PyErr_SetString(PyExc_IOError, "seeking file failed");
fclose(handle);
return NULL;
}
npy_fseek(handle, pos, SEEK_SET);
return handle;
}
@ -222,37 +201,14 @@ npy_PyFile_Dup2(PyObject *file, char *mode, npy_off_t *orig_pos)
* Close the dup-ed file handle, and seek the Python one to the current position
*/
static NPY_INLINE int
npy_PyFile_DupClose2(PyObject *file, FILE* handle, npy_off_t orig_pos)
npy_PyFile_DupClose(PyObject *file, FILE* handle)
{
int fd;
PyObject *ret;
npy_off_t position;
Py_ssize_t position;
position = npy_ftell(handle);
/* Close the FILE* handle */
fclose(handle);
/*
* Restore original file handle position, in order to not confuse
* Python-side data structures
*/
fd = PyObject_AsFileDescriptor(file);
if (fd == -1) {
return -1;
}
if (npy_lseek(fd, orig_pos, SEEK_SET) == -1) {
PyErr_SetString(PyExc_IOError, "seeking file failed");
return -1;
}
if (position == -1) {
PyErr_SetString(PyExc_IOError, "obtaining file position failed");
return -1;
}
/* Seek Python-side handle to the FILE* handle position */
ret = PyObject_CallMethod(file, "seek", NPY_OFF_T_PYFMT "i", position, 0);
ret = PyObject_CallMethod(file, "seek", NPY_SSIZE_T_PYFMT "i", position, 0);
if (ret == NULL) {
return -1;
}
@ -274,20 +230,8 @@ npy_PyFile_Check(PyObject *file)
#else
static NPY_INLINE FILE *
npy_PyFile_Dup2(PyObject *file,
const char *NPY_UNUSED(mode), npy_off_t *NPY_UNUSED(orig_pos))
{
return PyFile_AsFile(file);
}
static NPY_INLINE int
npy_PyFile_DupClose2(PyObject *NPY_UNUSED(file), FILE* NPY_UNUSED(handle),
npy_off_t NPY_UNUSED(orig_pos))
{
return 0;
}
#define npy_PyFile_Dup(file, mode) PyFile_AsFile(file)
#define npy_PyFile_DupClose(file, handle) (0)
#define npy_PyFile_Check PyFile_Check
#endif
@ -325,7 +269,7 @@ PyObject_Cmp(PyObject *i1, PyObject *i2, int *cmp)
{
int v;
v = PyObject_RichCompareBool(i1, i2, Py_LT);
if (v == 1) {
if (v == 0) {
*cmp = -1;
return 1;
}
@ -334,7 +278,7 @@ PyObject_Cmp(PyObject *i1, PyObject *i2, int *cmp)
}
v = PyObject_RichCompareBool(i1, i2, Py_GT);
if (v == 1) {
if (v == 0) {
*cmp = 1;
return 1;
}
@ -343,7 +287,7 @@ PyObject_Cmp(PyObject *i1, PyObject *i2, int *cmp)
}
v = PyObject_RichCompareBool(i1, i2, Py_EQ);
if (v == 1) {
if (v == 0) {
*cmp = 0;
return 1;
}
@ -406,6 +350,12 @@ NpyCapsule_Check(PyObject *ptr)
return PyCapsule_CheckExact(ptr);
}
static NPY_INLINE void
simple_capsule_dtor(PyObject *cap)
{
PyArray_free(PyCapsule_GetPointer(cap, NULL));
}
#else
static NPY_INLINE PyObject *
@ -439,6 +389,25 @@ NpyCapsule_Check(PyObject *ptr)
return PyCObject_Check(ptr);
}
static NPY_INLINE void
simple_capsule_dtor(void *ptr)
{
PyArray_free(ptr);
}
#endif
/*
* Hash value compatibility.
* As of Python 3.2 hash values are of type Py_hash_t.
* Previous versions use C long.
*/
#if PY_VERSION_HEX < 0x03020000
typedef long npy_hash_t;
#define NPY_SIZEOF_HASH_T NPY_SIZEOF_LONG
#else
typedef Py_hash_t npy_hash_t;
#define NPY_SIZEOF_HASH_T NPY_SIZEOF_INTP
#endif
#ifdef __cplusplus

179
include/numpy/npy_common.h
View File

@ -3,63 +3,6 @@
/* numpconfig.h is auto-generated */
#include "numpyconfig.h"
#ifdef HAVE_NPY_CONFIG_H
#include <npy_config.h>
#endif
/*
* gcc does not unroll even with -O3
* use with care, unrolling on modern cpus rarely speeds things up
*/
#ifdef HAVE_ATTRIBUTE_OPTIMIZE_UNROLL_LOOPS
#define NPY_GCC_UNROLL_LOOPS \
__attribute__((optimize("unroll-loops")))
#else
#define NPY_GCC_UNROLL_LOOPS
#endif
/* highest gcc optimization level, enabled autovectorizer */
#ifdef HAVE_ATTRIBUTE_OPTIMIZE_OPT_3
#define NPY_GCC_OPT_3 __attribute__((optimize("O3")))
#else
#define NPY_GCC_OPT_3
#endif
/*
* mark an argument (starting from 1) that must not be NULL and is not checked
* DO NOT USE IF FUNCTION CHECKS FOR NULL!! the compiler will remove the check
*/
#ifdef HAVE_ATTRIBUTE_NONNULL
#define NPY_GCC_NONNULL(n) __attribute__((nonnull(n)))
#else
#define NPY_GCC_NONNULL(n)
#endif
#if defined HAVE_XMMINTRIN_H && defined HAVE__MM_LOAD_PS
#define NPY_HAVE_SSE_INTRINSICS
#endif
#if defined HAVE_EMMINTRIN_H && defined HAVE__MM_LOAD_PD
#define NPY_HAVE_SSE2_INTRINSICS
#endif
/*
* give a hint to the compiler which branch is more likely or unlikely
* to occur, e.g. rare error cases:
*
* if (NPY_UNLIKELY(failure == 0))
* return NULL;
*
* the double !! is to cast the expression (e.g. NULL) to a boolean required by
* the intrinsic
*/
#ifdef HAVE___BUILTIN_EXPECT
#define NPY_LIKELY(x) __builtin_expect(!!(x), 1)
#define NPY_UNLIKELY(x) __builtin_expect(!!(x), 0)
#else
#define NPY_LIKELY(x) (x)
#define NPY_UNLIKELY(x) (x)
#endif
#if defined(_MSC_VER)
#define NPY_INLINE __inline
@ -73,82 +16,14 @@
#define NPY_INLINE
#endif
#ifdef HAVE___THREAD
#define NPY_TLS __thread
#else
#ifdef HAVE___DECLSPEC_THREAD_
#define NPY_TLS __declspec(thread)
#else
#define NPY_TLS
#endif
#endif
#ifdef WITH_CPYCHECKER_RETURNS_BORROWED_REF_ATTRIBUTE
#define NPY_RETURNS_BORROWED_REF \
__attribute__((cpychecker_returns_borrowed_ref))
#else
#define NPY_RETURNS_BORROWED_REF
#endif
#ifdef WITH_CPYCHECKER_STEALS_REFERENCE_TO_ARG_ATTRIBUTE
#define NPY_STEALS_REF_TO_ARG(n) \
__attribute__((cpychecker_steals_reference_to_arg(n)))
#else
#define NPY_STEALS_REF_TO_ARG(n)
#endif
/* 64 bit file position support, also on win-amd64. Ticket #1660 */
#if defined(_MSC_VER) && defined(_WIN64) && (_MSC_VER > 1400) || \
defined(__MINGW32__) || defined(__MINGW64__)
#include <io.h>
/* mingw based on 3.4.5 has lseek but not ftell/fseek */
#if defined(__MINGW32__) || defined(__MINGW64__)
extern int __cdecl _fseeki64(FILE *, long long, int);
extern long long __cdecl _ftelli64(FILE *);
#endif
/* Enable 64 bit file position support on win-amd64. Ticket #1660 */
#if defined(_MSC_VER) && defined(_WIN64) && (_MSC_VER > 1400)
#define npy_fseek _fseeki64
#define npy_ftell _ftelli64
#define npy_lseek _lseeki64
#define npy_off_t npy_int64
#if NPY_SIZEOF_INT == 8
#define NPY_OFF_T_PYFMT "i"
#elif NPY_SIZEOF_LONG == 8
#define NPY_OFF_T_PYFMT "l"
#elif NPY_SIZEOF_LONGLONG == 8
#define NPY_OFF_T_PYFMT "L"
#else
#error Unsupported size for type off_t
#endif
#else
#ifdef HAVE_FSEEKO
#define npy_fseek fseeko
#else
#define npy_fseek fseek
#endif
#ifdef HAVE_FTELLO
#define npy_ftell ftello
#else
#define npy_ftell ftell
#endif
#include <sys/types.h>
#define npy_lseek lseek
#define npy_off_t off_t
#if NPY_SIZEOF_OFF_T == NPY_SIZEOF_SHORT
#define NPY_OFF_T_PYFMT "h"
#elif NPY_SIZEOF_OFF_T == NPY_SIZEOF_INT
#define NPY_OFF_T_PYFMT "i"
#elif NPY_SIZEOF_OFF_T == NPY_SIZEOF_LONG
#define NPY_OFF_T_PYFMT "l"
#elif NPY_SIZEOF_OFF_T == NPY_SIZEOF_LONGLONG
#define NPY_OFF_T_PYFMT "L"
#else
#error Unsupported size for type off_t
#endif
#endif
/* enums for detected endianness */
enum {
@ -158,22 +33,15 @@ enum {
};
/*
* This is to typedef npy_intp to the appropriate pointer size for this
* platform. Py_intptr_t, Py_uintptr_t are defined in pyport.h.
* This is to typedef npy_intp to the appropriate pointer size for
* this platform. Py_intptr_t, Py_uintptr_t are defined in pyport.h.
*/
typedef Py_intptr_t npy_intp;
typedef Py_uintptr_t npy_uintp;
/*
* Define sizes that were not defined in numpyconfig.h.
*/
#define NPY_SIZEOF_CHAR 1
#define NPY_SIZEOF_BYTE 1
#define NPY_SIZEOF_DATETIME 8
#define NPY_SIZEOF_TIMEDELTA 8
#define NPY_SIZEOF_INTP NPY_SIZEOF_PY_INTPTR_T
#define NPY_SIZEOF_UINTP NPY_SIZEOF_PY_INTPTR_T
#define NPY_SIZEOF_HALF 2
#define NPY_SIZEOF_CFLOAT NPY_SIZEOF_COMPLEX_FLOAT
#define NPY_SIZEOF_CDOUBLE NPY_SIZEOF_COMPLEX_DOUBLE
#define NPY_SIZEOF_CLONGDOUBLE NPY_SIZEOF_COMPLEX_LONGDOUBLE
@ -182,8 +50,18 @@ typedef Py_uintptr_t npy_uintp;
#undef constchar
#endif
#if (PY_VERSION_HEX < 0x02050000)
#ifndef PY_SSIZE_T_MIN
typedef int Py_ssize_t;
#define PY_SSIZE_T_MAX INT_MAX
#define PY_SSIZE_T_MIN INT_MIN
#endif
#define NPY_SSIZE_T_PYFMT "i"
#define constchar const char
#else
#define NPY_SSIZE_T_PYFMT "n"
#define constchar char
#endif
/* NPY_INTP_FMT Note:
* Unlike the other NPY_*_FMT macros which are used with
@ -265,9 +143,18 @@ typedef unsigned PY_LONG_LONG npy_ulonglong;
# ifdef _MSC_VER
# define NPY_LONGLONG_FMT "I64d"
# define NPY_ULONGLONG_FMT "I64u"
# else
# elif defined(__APPLE__) || defined(__FreeBSD__)
/* "%Ld" only parses 4 bytes -- "L" is floating modifier on MacOS X/BSD */
# define NPY_LONGLONG_FMT "lld"
# define NPY_ULONGLONG_FMT "llu"
/*
another possible variant -- *quad_t works on *BSD, but is deprecated:
#define LONGLONG_FMT "qd"
#define ULONGLONG_FMT "qu"
*/
# else
# define NPY_LONGLONG_FMT "Ld"
# define NPY_ULONGLONG_FMT "Lu"
# endif
# ifdef _MSC_VER
# define NPY_LONGLONG_SUFFIX(x) (x##i64)
@ -316,19 +203,6 @@ typedef long npy_long;
typedef float npy_float;
typedef double npy_double;
/*
* Hash value compatibility.
* As of Python 3.2 hash values are of type Py_hash_t.
* Previous versions use C long.
*/
#if PY_VERSION_HEX < 0x03020000
typedef long npy_hash_t;
#define NPY_SIZEOF_HASH_T NPY_SIZEOF_LONG
#else
typedef Py_hash_t npy_hash_t;
#define NPY_SIZEOF_HASH_T NPY_SIZEOF_INTP
#endif
/*
* Disabling C99 complex usage: a lot of C code in numpy/scipy rely on being
* able to do .real/.imag. Will have to convert code first.
@ -431,6 +305,10 @@ typedef struct { npy_longdouble real, imag; } npy_clongdouble;
#define NPY_MIN_LONG LONG_MIN
#define NPY_MAX_ULONG ULONG_MAX
#define NPY_SIZEOF_HALF 2
#define NPY_SIZEOF_DATETIME 8
#define NPY_SIZEOF_TIMEDELTA 8
#define NPY_BITSOF_BOOL (sizeof(npy_bool) * CHAR_BIT)
#define NPY_BITSOF_CHAR CHAR_BIT
#define NPY_BITSOF_BYTE (NPY_SIZEOF_BYTE * CHAR_BIT)
@ -1049,3 +927,4 @@ typedef npy_int64 npy_datetime;
/* End of typedefs for numarray style bit-width names */
#endif

41
include/numpy/npy_cpu.h
View File

@ -5,7 +5,6 @@
* NPY_CPU_AMD64
* NPY_CPU_PPC
* NPY_CPU_PPC64
* NPY_CPU_PPC64LE
* NPY_CPU_SPARC
* NPY_CPU_S390
* NPY_CPU_IA64
@ -20,7 +19,6 @@
#define _NPY_CPUARCH_H_
#include "numpyconfig.h"
#include <string.h> /* for memcpy */
#if defined( __i386__ ) || defined(i386) || defined(_M_IX86)
/*
@ -43,8 +41,6 @@
* _ARCH_PPC is used by at least gcc on AIX
*/
#define NPY_CPU_PPC
#elif defined(__ppc64le__)
#define NPY_CPU_PPC64LE
#elif defined(__ppc64__)
#define NPY_CPU_PPC64
#elif defined(__sparc__) || defined(__sparc)
@ -70,23 +66,44 @@
#define NPY_CPU_MIPSEL
#elif defined(__MIPSEB__)
#define NPY_CPU_MIPSEB
#elif defined(__or1k__)
#define NPY_CPU_OR1K
#elif defined(__aarch64__)
#define NPY_CPU_AARCH64
#elif defined(__mc68000__)
#define NPY_CPU_M68K
#else
#error Unknown CPU, please report this to numpy maintainers with \
information about your platform (OS, CPU and compiler)
#endif
#define NPY_COPY_PYOBJECT_PTR(dst, src) memcpy(dst, src, sizeof(PyObject *))
/*
This "white-lists" the architectures that we know don't require
pointer alignment. We white-list, since the memcpy version will
work everywhere, whereas assignment will only work where pointer
dereferencing doesn't require alignment.
#if (defined(NPY_CPU_X86) || defined(NPY_CPU_AMD64))
#define NPY_CPU_HAVE_UNALIGNED_ACCESS 1
TODO: There may be more architectures we can white list.
*/
#if defined(NPY_CPU_X86) || defined(NPY_CPU_AMD64)
#define NPY_COPY_PYOBJECT_PTR(dst, src) (*((PyObject **)(dst)) = *((PyObject **)(src)))
#else
#define NPY_CPU_HAVE_UNALIGNED_ACCESS 0
#if NPY_SIZEOF_PY_INTPTR_T == 4
#define NPY_COPY_PYOBJECT_PTR(dst, src) \
((char*)(dst))[0] = ((char*)(src))[0]; \
((char*)(dst))[1] = ((char*)(src))[1]; \
((char*)(dst))[2] = ((char*)(src))[2]; \
((char*)(dst))[3] = ((char*)(src))[3];
#elif NPY_SIZEOF_PY_INTPTR_T == 8
#define NPY_COPY_PYOBJECT_PTR(dst, src) \
((char*)(dst))[0] = ((char*)(src))[0]; \
((char*)(dst))[1] = ((char*)(src))[1]; \
((char*)(dst))[2] = ((char*)(src))[2]; \
((char*)(dst))[3] = ((char*)(src))[3]; \
((char*)(dst))[4] = ((char*)(src))[4]; \
((char*)(dst))[5] = ((char*)(src))[5]; \
((char*)(dst))[6] = ((char*)(src))[6]; \
((char*)(dst))[7] = ((char*)(src))[7];
#else
#error Unknown architecture, please report this to numpy maintainers with \
information about your platform (OS, CPU and compiler)
#endif
#endif
#endif

19
include/numpy/npy_1_7_deprecated_api.h → include/numpy/npy_deprecated_api.h
View File

@ -1,9 +1,5 @@
#ifndef _NPY_1_7_DEPRECATED_API_H
#define _NPY_1_7_DEPRECATED_API_H
#ifndef NPY_DEPRECATED_INCLUDES
#error "Should never include npy_*_*_deprecated_api directly."
#endif
#ifndef _NPY_DEPRECATED_API_H
#define _NPY_DEPRECATED_API_H
#if defined(_WIN32)
#define _WARN___STR2__(x) #x
@ -12,19 +8,21 @@
#pragma message(_WARN___LOC__"Using deprecated NumPy API, disable it by " \
"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION")
#elif defined(__GNUC__)
#warning "Using deprecated NumPy API, disable it by " \
"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
#warning "Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
#endif
/* TODO: How to do this warning message for other compilers? */
/*
* This header exists to collect all dangerous/deprecated NumPy API
* as of NumPy 1.7.
* This header exists to collect all dangerous/deprecated NumPy API.
*
* This is an attempt to remove bad API, the proliferation of macros,
* and namespace pollution currently produced by the NumPy headers.
*/
#if defined(NPY_NO_DEPRECATED_API)
#error Should never include npy_deprecated_api directly.
#endif
/* These array flags are deprecated as of NumPy 1.7 */
#define NPY_CONTIGUOUS NPY_ARRAY_C_CONTIGUOUS
#define NPY_FORTRAN NPY_ARRAY_F_CONTIGUOUS
@ -127,4 +125,5 @@
*/
#include "old_defines.h"
#endif

21
include/numpy/npy_endian.h
View File

@ -10,22 +10,10 @@
/* Use endian.h if available */
#include <endian.h>
#if defined(BYTE_ORDER) && defined(BIG_ENDIAN) && defined(LITTLE_ENDIAN)
#define NPY_BYTE_ORDER BYTE_ORDER
#define NPY_LITTLE_ENDIAN LITTLE_ENDIAN
#define NPY_BIG_ENDIAN BIG_ENDIAN
#elif defined(_BYTE_ORDER) && defined(_BIG_ENDIAN) && defined(_LITTLE_ENDIAN)
#define NPY_BYTE_ORDER _BYTE_ORDER
#define NPY_LITTLE_ENDIAN _LITTLE_ENDIAN
#define NPY_BIG_ENDIAN _BIG_ENDIAN
#elif defined(__BYTE_ORDER) && defined(__BIG_ENDIAN) && defined(__LITTLE_ENDIAN)
#define NPY_BYTE_ORDER __BYTE_ORDER
#define NPY_LITTLE_ENDIAN __LITTLE_ENDIAN
#define NPY_BIG_ENDIAN __BIG_ENDIAN
#endif
#endif
#ifndef NPY_BYTE_ORDER
#else
/* Set endianness info using target CPU */
#include "npy_cpu.h"
@ -39,8 +27,7 @@
|| defined(NPY_CPU_ARMEL) \
|| defined(NPY_CPU_AARCH64) \
|| defined(NPY_CPU_SH_LE) \
|| defined(NPY_CPU_MIPSEL) \
|| defined(NPY_CPU_PPC64LE)
|| defined(NPY_CPU_MIPSEL)
#define NPY_BYTE_ORDER NPY_LITTLE_ENDIAN
#elif defined(NPY_CPU_PPC) \
|| defined(NPY_CPU_SPARC) \
@ -49,9 +36,7 @@
|| defined(NPY_CPU_PPC64) \
|| defined(NPY_CPU_ARMEB) \
|| defined(NPY_CPU_SH_BE) \
|| defined(NPY_CPU_MIPSEB) \
|| defined(NPY_CPU_OR1K) \
|| defined(NPY_CPU_M68K)
|| defined(NPY_CPU_MIPSEB)
#define NPY_BYTE_ORDER NPY_BIG_ENDIAN
#else
#error Unknown CPU: can not set endianness

115
include/numpy/npy_math.h
View File

@ -1,20 +1,12 @@
#ifndef __NPY_MATH_C99_H_
#define __NPY_MATH_C99_H_
#ifdef __cplusplus
extern "C" {
#endif
#include <math.h>
#ifdef __SUNPRO_CC
#include <sunmath.h>
#endif
#ifdef HAVE_NPY_CONFIG_H
#include <npy_config.h>
#endif
#include <numpy/npy_common.h>
/*
* NAN and INFINITY like macros (same behavior as glibc for NAN, same as C99
* for INFINITY)
@ -118,12 +110,15 @@ double npy_tanh(double x);
double npy_asin(double x);
double npy_acos(double x);
double npy_atan(double x);
double npy_aexp(double x);
double npy_alog(double x);
double npy_asqrt(double x);
double npy_afabs(double x);
double npy_log(double x);
double npy_log10(double x);
double npy_exp(double x);
double npy_sqrt(double x);
double npy_cbrt(double x);
double npy_fabs(double x);
double npy_ceil(double x);
@ -144,8 +139,6 @@ double npy_log2(double x);
double npy_atan2(double x, double y);
double npy_pow(double x, double y);
double npy_modf(double x, double* y);
double npy_frexp(double x, int* y);
double npy_ldexp(double n, int y);
double npy_copysign(double x, double y);
double npy_nextafter(double x, double y);
@ -154,52 +147,34 @@ double npy_spacing(double x);
/*
* IEEE 754 fpu handling. Those are guaranteed to be macros
*/
/* use builtins to avoid function calls in tight loops
* only available if npy_config.h is available (= numpys own build) */
#if HAVE___BUILTIN_ISNAN
#define npy_isnan(x) __builtin_isnan(x)
#else
#ifndef NPY_HAVE_DECL_ISNAN
#ifndef NPY_HAVE_DECL_ISNAN
#define npy_isnan(x) ((x) != (x))
#else
#if defined(_MSC_VER) && (_MSC_VER < 1900)
#else
#ifdef _MSC_VER
#define npy_isnan(x) _isnan((x))
#else
#define npy_isnan(x) isnan(x)
#endif
#define npy_isnan(x) isnan((x))
#endif
#endif
/* only available if npy_config.h is available (= numpys own build) */
#if HAVE___BUILTIN_ISFINITE
#define npy_isfinite(x) __builtin_isfinite(x)
#else
#ifndef NPY_HAVE_DECL_ISFINITE
#ifndef NPY_HAVE_DECL_ISFINITE
#ifdef _MSC_VER
#define npy_isfinite(x) _finite((x))
#else
#define npy_isfinite(x) !npy_isnan((x) + (-x))
#endif
#else
#else
#define npy_isfinite(x) isfinite((x))
#endif
#endif
/* only available if npy_config.h is available (= numpys own build) */
#if HAVE___BUILTIN_ISINF
#define npy_isinf(x) __builtin_isinf(x)
#else
#ifndef NPY_HAVE_DECL_ISINF
#ifndef NPY_HAVE_DECL_ISINF
#define npy_isinf(x) (!npy_isfinite(x) && !npy_isnan(x))
#else
#if defined(_MSC_VER) && (_MSC_VER < 1900)
#else
#ifdef _MSC_VER
#define npy_isinf(x) (!_finite((x)) && !_isnan((x)))
#else
#define npy_isinf(x) isinf((x))
#endif
#endif
#endif
#ifndef NPY_HAVE_DECL_SIGNBIT
@ -230,7 +205,6 @@ float npy_ceilf(float x);
float npy_rintf(float x);
float npy_truncf(float x);
float npy_sqrtf(float x);
float npy_cbrtf(float x);
float npy_log10f(float x);
float npy_logf(float x);
float npy_expf(float x);
@ -251,15 +225,13 @@ float npy_powf(float x, float y);
float npy_fmodf(float x, float y);
float npy_modff(float x, float* y);
float npy_frexpf(float x, int* y);
float npy_ldexpf(float x, int y);
float npy_copysignf(float x, float y);
float npy_nextafterf(float x, float y);
float npy_spacingf(float x);
/*
* long double C99 math functions
* float C99 math functions
*/
npy_longdouble npy_sinl(npy_longdouble x);
@ -274,7 +246,6 @@ npy_longdouble npy_ceill(npy_longdouble x);
npy_longdouble npy_rintl(npy_longdouble x);
npy_longdouble npy_truncl(npy_longdouble x);
npy_longdouble npy_sqrtl(npy_longdouble x);
npy_longdouble npy_cbrtl(npy_longdouble x);
npy_longdouble npy_log10l(npy_longdouble x);
npy_longdouble npy_logl(npy_longdouble x);
npy_longdouble npy_expl(npy_longdouble x);
@ -295,8 +266,6 @@ npy_longdouble npy_powl(npy_longdouble x, npy_longdouble y);
npy_longdouble npy_fmodl(npy_longdouble x, npy_longdouble y);
npy_longdouble npy_modfl(npy_longdouble x, npy_longdouble* y);
npy_longdouble npy_frexpl(npy_longdouble x, int* y);
npy_longdouble npy_ldexpl(npy_longdouble x, int y);
npy_longdouble npy_copysignl(npy_longdouble x, npy_longdouble y);
npy_longdouble npy_nextafterl(npy_longdouble x, npy_longdouble y);
@ -425,19 +394,6 @@ npy_cdouble npy_csqrt(npy_cdouble z);
npy_cdouble npy_ccos(npy_cdouble z);
npy_cdouble npy_csin(npy_cdouble z);
npy_cdouble npy_ctan(npy_cdouble z);
npy_cdouble npy_ccosh(npy_cdouble z);
npy_cdouble npy_csinh(npy_cdouble z);
npy_cdouble npy_ctanh(npy_cdouble z);
npy_cdouble npy_cacos(npy_cdouble z);
npy_cdouble npy_casin(npy_cdouble z);
npy_cdouble npy_catan(npy_cdouble z);
npy_cdouble npy_cacosh(npy_cdouble z);
npy_cdouble npy_casinh(npy_cdouble z);
npy_cdouble npy_catanh(npy_cdouble z);
/*
* Single precision complex functions
@ -453,20 +409,6 @@ npy_cfloat npy_csqrtf(npy_cfloat z);
npy_cfloat npy_ccosf(npy_cfloat z);
npy_cfloat npy_csinf(npy_cfloat z);
npy_cfloat npy_ctanf(npy_cfloat z);
npy_cfloat npy_ccoshf(npy_cfloat z);
npy_cfloat npy_csinhf(npy_cfloat z);
npy_cfloat npy_ctanhf(npy_cfloat z);
npy_cfloat npy_cacosf(npy_cfloat z);
npy_cfloat npy_casinf(npy_cfloat z);
npy_cfloat npy_catanf(npy_cfloat z);
npy_cfloat npy_cacoshf(npy_cfloat z);
npy_cfloat npy_casinhf(npy_cfloat z);
npy_cfloat npy_catanhf(npy_cfloat z);
/*
* Extended precision complex functions
@ -482,44 +424,15 @@ npy_clongdouble npy_csqrtl(npy_clongdouble z);
npy_clongdouble npy_ccosl(npy_clongdouble z);
npy_clongdouble npy_csinl(npy_clongdouble z);
npy_clongdouble npy_ctanl(npy_clongdouble z);
npy_clongdouble npy_ccoshl(npy_clongdouble z);
npy_clongdouble npy_csinhl(npy_clongdouble z);
npy_clongdouble npy_ctanhl(npy_clongdouble z);
npy_clongdouble npy_cacosl(npy_clongdouble z);
npy_clongdouble npy_casinl(npy_clongdouble z);
npy_clongdouble npy_catanl(npy_clongdouble z);
npy_clongdouble npy_cacoshl(npy_clongdouble z);
npy_clongdouble npy_casinhl(npy_clongdouble z);
npy_clongdouble npy_catanhl(npy_clongdouble z);
/*
* Functions that set the floating point error
* status word.
*/
/*
* platform-dependent code translates floating point
* status to an integer sum of these values
*/
#define NPY_FPE_DIVIDEBYZERO 1
#define NPY_FPE_OVERFLOW 2
#define NPY_FPE_UNDERFLOW 4
#define NPY_FPE_INVALID 8
int npy_get_floatstatus(void);
int npy_clear_floatstatus(void);
void npy_set_floatstatus_divbyzero(void);
void npy_set_floatstatus_overflow(void);
void npy_set_floatstatus_underflow(void);
void npy_set_floatstatus_invalid(void);
#ifdef __cplusplus
}
#endif
#endif

3
include/numpy/numpyconfig.h
View File

@ -29,8 +29,5 @@
* #define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
*/
#define NPY_1_7_API_VERSION 0x00000007
#define NPY_1_8_API_VERSION 0x00000008
#define NPY_1_9_API_VERSION 0x00000008
#define NPY_1_10_API_VERSION 0x00000008
#endif

19
include/numpy/ufunc_api.txt
View File

@ -7,8 +7,8 @@ Numpy Ufunc C-API
PyObject *
PyUFunc_FromFuncAndData(PyUFuncGenericFunction *func, void
**data, char *types, int ntypes, int nin, int
nout, int identity, const char *name, const
char *doc, int check_return)
nout, int identity, char *name, char *doc, int
check_return)
::
@ -229,9 +229,9 @@ owns a new reference to errobj.
PyUFunc_FromFuncAndDataAndSignature(PyUFuncGenericFunction *func, void
**data, char *types, int
ntypes, int nin, int nout, int
identity, const char *name, const
char *doc, int check_return, const
char *signature)
identity, char *name, char
*doc, int check_return, const char
*signature)
::
@ -310,12 +310,3 @@ the output operands where provided.
Returns 0 on success, -1 (with exception raised) on validation failure.
::
int
PyUFunc_RegisterLoopForDescr(PyUFuncObject *ufunc, PyArray_Descr
*user_dtype, PyUFuncGenericFunction
function, PyArray_Descr
**arg_dtypes, void *data)

165
include/numpy/ufuncobject.h
View File

@ -2,7 +2,6 @@
#define Py_UFUNCOBJECT_H
#include <numpy/npy_math.h>
#include <numpy/npy_common.h>
#ifdef __cplusplus
extern "C" {
@ -152,13 +151,13 @@ typedef struct _tagPyUFuncObject {
int check_return;
/* The name of the ufunc */
const char *name;
char *name;
/* Array of type numbers, of size ('nargs' * 'ntypes') */
char *types;
/* Documentation string */
const char *doc;
char *doc;
void *ptr;
PyObject *obj;
@ -213,20 +212,6 @@ typedef struct _tagPyUFuncObject {
* A function which returns a masked inner loop for the ufunc.
*/
PyUFunc_MaskedInnerLoopSelectionFunc *masked_inner_loop_selector;
/*
* List of flags for each operand when ufunc is called by nditer object.
* These flags will be used in addition to the default flags for each
* operand set by nditer object.
*/
npy_uint32 *op_flags;
/*
* List of global flags used when ufunc is called by nditer object.
* These flags will be used in addition to the default global flags
* set by nditer object.
*/
npy_uint32 iter_flags;
} PyUFuncObject;
#include "arrayobject.h"
@ -251,11 +236,22 @@ typedef struct _tagPyUFuncObject {
#define UFUNC_SHIFT_INVALID 9
/* platform-dependent code translates floating point
status to an integer sum of these values
*/
#define UFUNC_FPE_DIVIDEBYZERO 1
#define UFUNC_FPE_OVERFLOW 2
#define UFUNC_FPE_UNDERFLOW 4
#define UFUNC_FPE_INVALID 8
/* Error mode that avoids look-up (no checking) */
#define UFUNC_ERR_DEFAULT 0
#define UFUNC_OBJ_ISOBJECT 1
#define UFUNC_OBJ_NEEDS_API 2
/* Default user error mode */
#define UFUNC_ERR_DEFAULT \
#define UFUNC_ERR_DEFAULT2 \
(UFUNC_ERR_WARN << UFUNC_SHIFT_DIVIDEBYZERO) + \
(UFUNC_ERR_WARN << UFUNC_SHIFT_OVERFLOW) + \
(UFUNC_ERR_WARN << UFUNC_SHIFT_INVALID)
@ -309,8 +305,6 @@ typedef struct _loop1d_info {
void *data;
int *arg_types;
struct _loop1d_info *next;
int nargs;
PyArray_Descr **arg_dtypes;
} PyUFunc_Loop1d;
@ -326,47 +320,126 @@ typedef struct _loop1d_info {
&(arg)->first))) \
goto fail;} while (0)
/* This code checks the IEEE status flags in a platform-dependent way */
/* Adapted from Numarray */
/* keep in sync with ieee754.c.src */
#if defined(sun) || defined(__BSD__) || defined(__OpenBSD__) || \
(defined(__FreeBSD__) && (__FreeBSD_version < 502114)) || \
defined(__NetBSD__) || \
defined(__GLIBC__) || defined(__APPLE__) || \
defined(__CYGWIN__) || defined(__MINGW32__) || \
(defined(__FreeBSD__) && (__FreeBSD_version >= 502114)) || \
defined(_AIX) || \
defined(_MSC_VER) || \
defined(__osf__) && defined(__alpha)
#else
#define NO_FLOATING_POINT_SUPPORT
#if (defined(__unix__) || defined(unix)) && !defined(USG)
#include <sys/param.h>
#endif
/* OSF/Alpha (Tru64) ---------------------------------------------*/
#if defined(__osf__) && defined(__alpha)
#include <machine/fpu.h>
#define UFUNC_CHECK_STATUS(ret) { \
unsigned long fpstatus; \
\
fpstatus = ieee_get_fp_control(); \
/* clear status bits as well as disable exception mode if on */ \
ieee_set_fp_control( 0 ); \
ret = ((IEEE_STATUS_DZE & fpstatus) ? UFUNC_FPE_DIVIDEBYZERO : 0) \
| ((IEEE_STATUS_OVF & fpstatus) ? UFUNC_FPE_OVERFLOW : 0) \
| ((IEEE_STATUS_UNF & fpstatus) ? UFUNC_FPE_UNDERFLOW : 0) \
| ((IEEE_STATUS_INV & fpstatus) ? UFUNC_FPE_INVALID : 0); \
}
/* MS Windows -----------------------------------------------------*/
#elif defined(_MSC_VER)
#include <float.h>
/* Clear the floating point exception default of Borland C++ */
#if defined(__BORLANDC__)
#define UFUNC_NOFPE _control87(MCW_EM, MCW_EM);
#endif
#define UFUNC_CHECK_STATUS(ret) { \
int fpstatus = (int) _clearfp(); \
\
ret = ((SW_ZERODIVIDE & fpstatus) ? UFUNC_FPE_DIVIDEBYZERO : 0) \
| ((SW_OVERFLOW & fpstatus) ? UFUNC_FPE_OVERFLOW : 0) \
| ((SW_UNDERFLOW & fpstatus) ? UFUNC_FPE_UNDERFLOW : 0) \
| ((SW_INVALID & fpstatus) ? UFUNC_FPE_INVALID : 0); \
}
/* Solaris --------------------------------------------------------*/
/* --------ignoring SunOS ieee_flags approach, someone else can
** deal with that! */
#elif defined(sun) || defined(__BSD__) || defined(__OpenBSD__) || \
(defined(__FreeBSD__) && (__FreeBSD_version < 502114)) || \
defined(__NetBSD__)
#include <ieeefp.h>
#define UFUNC_CHECK_STATUS(ret) { \
int fpstatus; \
\
fpstatus = (int) fpgetsticky(); \
ret = ((FP_X_DZ & fpstatus) ? UFUNC_FPE_DIVIDEBYZERO : 0) \
| ((FP_X_OFL & fpstatus) ? UFUNC_FPE_OVERFLOW : 0) \
| ((FP_X_UFL & fpstatus) ? UFUNC_FPE_UNDERFLOW : 0) \
| ((FP_X_INV & fpstatus) ? UFUNC_FPE_INVALID : 0); \
(void) fpsetsticky(0); \
}
#elif defined(__GLIBC__) || defined(__APPLE__) || \
defined(__CYGWIN__) || defined(__MINGW32__) || \
(defined(__FreeBSD__) && (__FreeBSD_version >= 502114))
#if defined(__GLIBC__) || defined(__APPLE__) || \
defined(__MINGW32__) || defined(__FreeBSD__)
#include <fenv.h>
#elif defined(__CYGWIN__)
#include "fenv/fenv.c"
#endif
#define UFUNC_CHECK_STATUS(ret) { \
int fpstatus = (int) fetestexcept(FE_DIVBYZERO | FE_OVERFLOW | \
FE_UNDERFLOW | FE_INVALID); \
ret = ((FE_DIVBYZERO & fpstatus) ? UFUNC_FPE_DIVIDEBYZERO : 0) \
| ((FE_OVERFLOW & fpstatus) ? UFUNC_FPE_OVERFLOW : 0) \
| ((FE_UNDERFLOW & fpstatus) ? UFUNC_FPE_UNDERFLOW : 0) \
| ((FE_INVALID & fpstatus) ? UFUNC_FPE_INVALID : 0); \
(void) feclearexcept(FE_DIVBYZERO | FE_OVERFLOW | \
FE_UNDERFLOW | FE_INVALID); \
}
#elif defined(_AIX)
#include <float.h>
#include <fpxcp.h>
#define UFUNC_CHECK_STATUS(ret) { \
fpflag_t fpstatus; \
\
fpstatus = fp_read_flag(); \
ret = ((FP_DIV_BY_ZERO & fpstatus) ? UFUNC_FPE_DIVIDEBYZERO : 0) \
| ((FP_OVERFLOW & fpstatus) ? UFUNC_FPE_OVERFLOW : 0) \
| ((FP_UNDERFLOW & fpstatus) ? UFUNC_FPE_UNDERFLOW : 0) \
| ((FP_INVALID & fpstatus) ? UFUNC_FPE_INVALID : 0); \
fp_swap_flag(0); \
}
#else
#define NO_FLOATING_POINT_SUPPORT
#define UFUNC_CHECK_STATUS(ret) { \
ret = 0; \
}
#endif
/*
* THESE MACROS ARE DEPRECATED.
* Use npy_set_floatstatus_* in the npymath library.
*/
#define UFUNC_FPE_DIVIDEBYZERO NPY_FPE_DIVIDEBYZERO
#define UFUNC_FPE_OVERFLOW NPY_FPE_OVERFLOW
#define UFUNC_FPE_UNDERFLOW NPY_FPE_UNDERFLOW
#define UFUNC_FPE_INVALID NPY_FPE_INVALID
#define UFUNC_CHECK_STATUS(ret) \
{ \
ret = npy_clear_floatstatus(); \
}
#define generate_divbyzero_error() npy_set_floatstatus_divbyzero()
#define generate_overflow_error() npy_set_floatstatus_overflow()
/* Make sure it gets defined if it isn't already */
#ifndef UFUNC_NOFPE
/* Clear the floating point exception default of Borland C++ */
#if defined(__BORLANDC__)
#define UFUNC_NOFPE _control87(MCW_EM, MCW_EM);
#else
#define UFUNC_NOFPE
#endif
#endif
#ifdef __cplusplus

4
requirements.txt
View File

@ -1,6 +1,6 @@
cython < 0.24
cython<0.24
pathlib
numpy
numpy>=1.7
cymem>=1.30,<1.32
preshed>=0.46.1,<0.47.0
thinc>=5.0.0,<5.1.0

9
setup.py
View File

@ -68,9 +68,6 @@ MOD_NAMES = [
'spacy.syntax.iterators']
# By subclassing build_extensions we have the actual compiler that will be used
# which is really known only after finalize_options
# http://stackoverflow.com/questions/724664/python-distutils-how-to-get-a-compiler-that-is-going-to-be-used
compile_options = {
'msvc': ['/Ox', '/EHsc'],
'mingw32' : ['-O3', '-Wno-strict-prototypes', '-Wno-unused-function'],
@ -94,6 +91,8 @@ if not sys.platform.startswith('darwin'):
link_options['other'].append('-fopenmp')
# By subclassing build_extensions we have the actual compiler that will be used which is really known only after finalize_options
# http://stackoverflow.com/questions/724664/python-distutils-how-to-get-a-compiler-that-is-going-to-be-used
class build_ext_options:
def build_options(self):
for e in self.extensions:
@ -186,9 +185,9 @@ def setup_package():
license=about['__license__'],
ext_modules=ext_modules,
install_requires=[
'numpy',
'numpy>=1.7',
'murmurhash>=0.26,<0.27',
'cymem>=1.30,<1.32.0',
'cymem>=1.30,<1.32',
'preshed>=0.46.1,<0.47',
'thinc>=5.0.0,<5.1.0',
'plac',