Author: mattip <[email protected]>
Branch: cleanup-includes
Changeset: r83602:8d781f7a74f7
Date: 2016-04-11 19:17 +0300
http://bitbucket.org/pypy/pypy/changeset/8d781f7a74f7/
Log: remove outdated headers
diff too long, truncating to 2000 out of 2378 lines
diff --git a/pypy/module/cpyext/api.py b/pypy/module/cpyext/api.py
--- a/pypy/module/cpyext/api.py
+++ b/pypy/module/cpyext/api.py
@@ -144,7 +144,7 @@
target.chmod(0444) # make the file read-only, to make sure that nobody
# edits it by mistake
-def copy_header_files(dstdir, copy_numpy_headers):
+def copy_header_files(dstdir):
# XXX: 20 lines of code to recursively copy a directory, really??
assert dstdir.check(dir=True)
headers = include_dir.listdir('*.h') + include_dir.listdir('*.inl')
@@ -152,18 +152,6 @@
headers.append(udir.join(name))
_copy_header_files(headers, dstdir)
- if copy_numpy_headers:
- try:
- dstdir.mkdir('numpy')
- except py.error.EEXIST:
- pass
- numpy_dstdir = dstdir / 'numpy'
-
- numpy_include_dir = include_dir / 'numpy'
- numpy_headers = numpy_include_dir.listdir('*.h') +
numpy_include_dir.listdir('*.inl')
- _copy_header_files(numpy_headers, numpy_dstdir)
-
-
class NotSpecified(object):
pass
_NOT_SPECIFIED = NotSpecified()
@@ -1207,7 +1195,7 @@
setup_init_functions(eci, translating=True)
trunk_include = pypydir.dirpath() / 'include'
- copy_header_files(trunk_include, use_micronumpy)
+ copy_header_files(trunk_include)
def init_static_data_translated(space):
builder = space.fromcache(StaticObjectBuilder)
diff --git a/pypy/module/cpyext/include/numpy/__multiarray_api.h
b/pypy/module/cpyext/include/numpy/__multiarray_api.h
deleted file mode 100644
--- a/pypy/module/cpyext/include/numpy/__multiarray_api.h
+++ /dev/null
@@ -1,10 +0,0 @@
-
-
-typedef struct {
- PyObject_HEAD
- npy_bool obval;
-} PyBoolScalarObject;
-
-#define import_array()
-#define PyArray_New _PyArray_New
-
diff --git a/pypy/module/cpyext/include/numpy/arrayobject.h
b/pypy/module/cpyext/include/numpy/arrayobject.h
deleted file mode 100644
--- a/pypy/module/cpyext/include/numpy/arrayobject.h
+++ /dev/null
@@ -1,233 +0,0 @@
-
-/* NDArray object interface - S. H. Muller, 2013/07/26
- * It will be copied by numpy/core/setup.py by install_data to
- * site-packages/numpy/core/includes/numpy
-*/
-
-#ifndef Py_NDARRAYOBJECT_H
-#define Py_NDARRAYOBJECT_H
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-#include "old_defines.h"
-#include "npy_common.h"
-#include "__multiarray_api.h"
-
-#define NPY_UNUSED(x) x
-#define PyArray_MAX(a,b) (((a)>(b))?(a):(b))
-#define PyArray_MIN(a,b) (((a)<(b))?(a):(b))
-
-/* fake PyArrayObject so that code that doesn't do direct field access works */
-#define PyArrayObject PyObject
-#define PyArray_Descr PyObject
-
-PyAPI_DATA(PyTypeObject) PyArray_Type;
-
-
-#define NPY_MAXDIMS 32
-
-#ifndef NDARRAYTYPES_H
-typedef struct {
- npy_intp *ptr;
- int len;
-} PyArray_Dims;
-
-/* data types copied from numpy/ndarraytypes.h
- * keep numbers in sync with micronumpy.interp_dtype.DTypeCache
- */
-enum NPY_TYPES { NPY_BOOL=0,
- NPY_BYTE, NPY_UBYTE,
- NPY_SHORT, NPY_USHORT,
- NPY_INT, NPY_UINT,
- NPY_LONG, NPY_ULONG,
- NPY_LONGLONG, NPY_ULONGLONG,
- NPY_FLOAT, NPY_DOUBLE, NPY_LONGDOUBLE,
- NPY_CFLOAT, NPY_CDOUBLE, NPY_CLONGDOUBLE,
- NPY_OBJECT=17,
- NPY_STRING, NPY_UNICODE,
- NPY_VOID,
- /*
- * New 1.6 types appended, may be integrated
- * into the above in 2.0.
- */
- NPY_DATETIME, NPY_TIMEDELTA, NPY_HALF,
-
- NPY_NTYPES,
- NPY_NOTYPE,
- NPY_CHAR, /* special flag */
- NPY_USERDEF=256, /* leave room for characters */
-
- /* The number of types not including the new 1.6 types */
- NPY_NTYPES_ABI_COMPATIBLE=21
-};
-
-#define PyTypeNum_ISBOOL(type) ((type) == NPY_BOOL)
-#define PyTypeNum_ISINTEGER(type) (((type) >= NPY_BYTE) && \
- ((type) <= NPY_ULONGLONG))
-#define PyTypeNum_ISFLOAT(type) ((((type) >= NPY_FLOAT) && \
- ((type) <= NPY_LONGDOUBLE)) || \
- ((type) == NPY_HALF))
-#define PyTypeNum_ISCOMPLEX(type) (((type) >= NPY_CFLOAT) && \
- ((type) <= NPY_CLONGDOUBLE))
-
-#define PyArray_ISBOOL(arr) (PyTypeNum_ISBOOL(PyArray_TYPE(arr)))
-#define PyArray_ISINTEGER(arr) (PyTypeNum_ISINTEGER(PyArray_TYPE(arr)))
-#define PyArray_ISFLOAT(arr) (PyTypeNum_ISFLOAT(PyArray_TYPE(arr)))
-#define PyArray_ISCOMPLEX(arr) (PyTypeNum_ISCOMPLEX(PyArray_TYPE(arr)))
-
-
-/* flags */
-#define NPY_ARRAY_C_CONTIGUOUS 0x0001
-#define NPY_ARRAY_F_CONTIGUOUS 0x0002
-#define NPY_ARRAY_OWNDATA 0x0004
-#define NPY_ARRAY_FORCECAST 0x0010
-#define NPY_ARRAY_ENSURECOPY 0x0020
-#define NPY_ARRAY_ENSUREARRAY 0x0040
-#define NPY_ARRAY_ELEMENTSTRIDES 0x0080
-#define NPY_ARRAY_ALIGNED 0x0100
-#define NPY_ARRAY_NOTSWAPPED 0x0200
-#define NPY_ARRAY_WRITEABLE 0x0400
-#define NPY_ARRAY_UPDATEIFCOPY 0x1000
-
-#define NPY_ARRAY_BEHAVED (NPY_ARRAY_ALIGNED | \
- NPY_ARRAY_WRITEABLE)
-#define NPY_ARRAY_BEHAVED_NS (NPY_ARRAY_ALIGNED | \
- NPY_ARRAY_WRITEABLE | \
- NPY_ARRAY_NOTSWAPPED)
-#define NPY_ARRAY_CARRAY (NPY_ARRAY_C_CONTIGUOUS | \
- NPY_ARRAY_BEHAVED)
-#define NPY_ARRAY_CARRAY_RO (NPY_ARRAY_C_CONTIGUOUS | \
- NPY_ARRAY_ALIGNED)
-#define NPY_ARRAY_FARRAY (NPY_ARRAY_F_CONTIGUOUS | \
- NPY_ARRAY_BEHAVED)
-#define NPY_ARRAY_FARRAY_RO (NPY_ARRAY_F_CONTIGUOUS | \
- NPY_ARRAY_ALIGNED)
-#define NPY_ARRAY_DEFAULT (NPY_ARRAY_CARRAY)
-#define NPY_ARRAY_IN_ARRAY (NPY_ARRAY_CARRAY_RO)
-#define NPY_ARRAY_OUT_ARRAY (NPY_ARRAY_CARRAY)
-#define NPY_ARRAY_INOUT_ARRAY (NPY_ARRAY_CARRAY | \
- NPY_ARRAY_UPDATEIFCOPY)
-#define NPY_ARRAY_IN_FARRAY (NPY_ARRAY_FARRAY_RO)
-#define NPY_ARRAY_OUT_FARRAY (NPY_ARRAY_FARRAY)
-#define NPY_ARRAY_INOUT_FARRAY (NPY_ARRAY_FARRAY | \
- NPY_ARRAY_UPDATEIFCOPY)
-
-#define NPY_ARRAY_UPDATE_ALL (NPY_ARRAY_C_CONTIGUOUS | \
- NPY_ARRAY_F_CONTIGUOUS | \
- NPY_ARRAY_ALIGNED)
-
-#define NPY_FARRAY NPY_ARRAY_FARRAY
-#define NPY_CARRAY NPY_ARRAY_CARRAY
-
-#define PyArray_CHKFLAGS(m, flags) (PyArray_FLAGS(m) & (flags))
-
-#define PyArray_ISCONTIGUOUS(m) PyArray_CHKFLAGS(m, NPY_ARRAY_C_CONTIGUOUS)
-#define PyArray_ISWRITEABLE(m) PyArray_CHKFLAGS(m, NPY_ARRAY_WRITEABLE)
-#define PyArray_ISALIGNED(m) PyArray_CHKFLAGS(m, NPY_ARRAY_ALIGNED)
-
-#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)
-
-#define PyArray_FLAGSWAP(m, flags) (PyArray_CHKFLAGS(m, flags) && \
- PyArray_ISNOTSWAPPED(m))
-
-#define PyArray_ISCARRAY(m) PyArray_FLAGSWAP(m, NPY_ARRAY_CARRAY)
-#define PyArray_ISCARRAY_RO(m) PyArray_FLAGSWAP(m, NPY_ARRAY_CARRAY_RO)
-#define PyArray_ISFARRAY(m) PyArray_FLAGSWAP(m, NPY_ARRAY_FARRAY)
-#define PyArray_ISFARRAY_RO(m) PyArray_FLAGSWAP(m, NPY_ARRAY_FARRAY_RO)
-#define PyArray_ISBEHAVED(m) PyArray_FLAGSWAP(m, NPY_ARRAY_BEHAVED)
-#define PyArray_ISBEHAVED_RO(m) PyArray_FLAGSWAP(m, NPY_ARRAY_ALIGNED)
-
-#define PyArray_ISONESEGMENT(arr) (1)
-#define PyArray_ISNOTSWAPPED(arr) (1)
-#define PyArray_ISBYTESWAPPED(arr) (0)
-
-#endif
-
-#define NPY_INT8 NPY_BYTE
-#define NPY_UINT8 NPY_UBYTE
-#define NPY_INT16 NPY_SHORT
-#define NPY_UINT16 NPY_USHORT
-#define NPY_INT32 NPY_INT
-#define NPY_UINT32 NPY_UINT
-#define NPY_INT64 NPY_LONG
-#define NPY_UINT64 NPY_ULONG
-#define NPY_FLOAT32 NPY_FLOAT
-#define NPY_FLOAT64 NPY_DOUBLE
-#define NPY_COMPLEX32 NPY_CFLOAT
-#define NPY_COMPLEX64 NPY_CDOUBLE
-
-
-/* functions */
-#ifndef PyArray_NDIM
-
-#define PyArray_Check _PyArray_Check
-#define PyArray_CheckExact _PyArray_CheckExact
-#define PyArray_FLAGS _PyArray_FLAGS
-
-#define PyArray_NDIM _PyArray_NDIM
-#define PyArray_DIM _PyArray_DIM
-#define PyArray_STRIDE _PyArray_STRIDE
-#define PyArray_SIZE _PyArray_SIZE
-#define PyArray_ITEMSIZE _PyArray_ITEMSIZE
-#define PyArray_NBYTES _PyArray_NBYTES
-#define PyArray_TYPE _PyArray_TYPE
-#define PyArray_DATA _PyArray_DATA
-
-#define PyArray_Size PyArray_SIZE
-#define PyArray_BYTES(arr) ((char *)PyArray_DATA(arr))
-
-#define PyArray_FromAny _PyArray_FromAny
-#define PyArray_FromObject _PyArray_FromObject
-#define PyArray_ContiguousFromObject PyArray_FromObject
-#define PyArray_ContiguousFromAny PyArray_FromObject
-
-#define PyArray_FROMANY(obj, typenum, min, max, requirements) (obj)
-#define PyArray_FROM_OTF(obj, typenum, requirements) \
- PyArray_FromObject(obj, typenum, 0, 0)
-
-#define PyArray_New _PyArray_New
-#define PyArray_SimpleNew _PyArray_SimpleNew
-#define PyArray_SimpleNewFromData _PyArray_SimpleNewFromData
-#define PyArray_SimpleNewFromDataOwning _PyArray_SimpleNewFromDataOwning
-
-#define PyArray_EMPTY(nd, dims, type_num, fortran) \
- PyArray_SimpleNew(nd, dims, type_num)
-
-PyAPI_FUNC(void) _PyArray_FILLWBYTE(PyObject* obj, int val);
-PyAPI_FUNC(PyObject *) _PyArray_ZEROS(int nd, npy_intp* dims, int type_num,
int fortran);
-PyAPI_FUNC(int) _PyArray_CopyInto(PyArrayObject* dest, PyArrayObject* src);
-
-#define PyArray_FILLWBYTE _PyArray_FILLWBYTE
-#define PyArray_ZEROS _PyArray_ZEROS
-#define PyArray_CopyInto _PyArray_CopyInto
-
-#define PyArray_Resize(self, newshape, refcheck, fortran) (NULL)
-
-/* Don't use these in loops! */
-
-#define PyArray_GETPTR1(obj, i) ((void *)(PyArray_BYTES(obj) + \
- (i)*PyArray_STRIDE(obj,0)))
-
-#define PyArray_GETPTR2(obj, i, j) ((void *)(PyArray_BYTES(obj) + \
- (i)*PyArray_STRIDE(obj,0) + \
- (j)*PyArray_STRIDE(obj,1)))
-
-#define PyArray_GETPTR3(obj, i, j, k) ((void *)(PyArray_BYTES(obj) + \
- (i)*PyArray_STRIDE(obj,0) + \
- (j)*PyArray_STRIDE(obj,1) + \
- (k)*PyArray_STRIDE(obj,2)))
-
-#define PyArray_GETPTR4(obj, i, j, k, l) ((void *)(PyArray_BYTES(obj) + \
- (i)*PyArray_STRIDE(obj,0) + \
- (j)*PyArray_STRIDE(obj,1) + \
- (k)*PyArray_STRIDE(obj,2) + \
- (l)*PyArray_STRIDE(obj,3)))
-
-#endif
-
-#ifdef __cplusplus
-}
-#endif
-#endif /* !Py_NDARRAYOBJECT_H */
diff --git a/pypy/module/cpyext/include/numpy/ndarraytypes.h
b/pypy/module/cpyext/include/numpy/ndarraytypes.h
deleted file mode 100644
--- a/pypy/module/cpyext/include/numpy/ndarraytypes.h
+++ /dev/null
@@ -1,1786 +0,0 @@
-#ifndef NDARRAYTYPES_H
-#define NDARRAYTYPES_H
-
-#include "numpy/npy_common.h"
-//#include "npy_endian.h"
-//#include "npy_cpu.h"
-//#include "utils.h"
-
-//for pypy - numpy has lots of typedefs
-//for pypy - make life easier, less backward support
-#define NPY_1_8_API_VERSION 0x00000008
-#define NPY_NO_DEPRECATED_API NPY_1_8_API_VERSION
-#undef NPY_1_8_API_VERSION
-
-#define NPY_ENABLE_SEPARATE_COMPILATION 1
-#define NPY_VISIBILITY_HIDDEN
-
-#ifdef NPY_ENABLE_SEPARATE_COMPILATION
- #define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
-#else
- #define NPY_NO_EXPORT static
-#endif
-
-/* Only use thread if configured in config and python supports it */
-#if defined WITH_THREAD && !NPY_NO_SMP
- #define NPY_ALLOW_THREADS 1
-#else
- #define NPY_ALLOW_THREADS 0
-#endif
-
-
-
-/*
- * There are several places in the code where an array of dimensions
- * is allocated statically. This is the size of that static
- * allocation.
- *
- * The array creation itself could have arbitrary dimensions but all
- * the places where static allocation is used would need to be changed
- * to dynamic (including inside of several structures)
- */
-
-#define NPY_MAXDIMS 32
-#define NPY_MAXARGS 32
-
-/* Used for Converter Functions "O&" code in ParseTuple */
-#define NPY_FAIL 0
-#define NPY_SUCCEED 1
-
-/*
- * Binary compatibility version number. This number is increased
- * whenever the C-API is changed such that binary compatibility is
- * broken, i.e. whenever a recompile of extension modules is needed.
- */
-#define NPY_VERSION NPY_ABI_VERSION
-
-/*
- * Minor API version. This number is increased whenever a change is
- * made to the C-API -- whether it breaks binary compatibility or not.
- * Some changes, such as adding a function pointer to the end of the
- * function table, can be made without breaking binary compatibility.
- * In this case, only the NPY_FEATURE_VERSION (*not* NPY_VERSION)
- * would be increased. Whenever binary compatibility is broken, both
- * NPY_VERSION and NPY_FEATURE_VERSION should be increased.
- */
-#define NPY_FEATURE_VERSION NPY_API_VERSION
-
-enum NPY_TYPES { NPY_BOOL=0,
- NPY_BYTE, NPY_UBYTE,
- NPY_SHORT, NPY_USHORT,
- NPY_INT, NPY_UINT,
- NPY_LONG, NPY_ULONG,
- NPY_LONGLONG, NPY_ULONGLONG,
- NPY_FLOAT, NPY_DOUBLE, NPY_LONGDOUBLE,
- NPY_CFLOAT, NPY_CDOUBLE, NPY_CLONGDOUBLE,
- NPY_OBJECT=17,
- NPY_STRING, NPY_UNICODE,
- NPY_VOID,
- /*
- * New 1.6 types appended, may be integrated
- * into the above in 2.0.
- */
- NPY_DATETIME, NPY_TIMEDELTA, NPY_HALF,
-
- NPY_NTYPES,
- NPY_NOTYPE,
- NPY_CHAR, /* special flag */
- NPY_USERDEF=256, /* leave room for characters */
-
- /* The number of types not including the new 1.6 types */
- NPY_NTYPES_ABI_COMPATIBLE=21
-};
-
-/* basetype array priority */
-#define NPY_PRIORITY 0.0
-
-/* default subtype priority */
-#define NPY_SUBTYPE_PRIORITY 1.0
-
-/* default scalar priority */
-#define NPY_SCALAR_PRIORITY -1000000.0
-
-/* How many floating point types are there (excluding half) */
-#define NPY_NUM_FLOATTYPE 3
-
-/*
- * These characters correspond to the array type and the struct
- * module
- */
-
-enum NPY_TYPECHAR {
- NPY_BOOLLTR = '?',
- NPY_BYTELTR = 'b',
- NPY_UBYTELTR = 'B',
- NPY_SHORTLTR = 'h',
- NPY_USHORTLTR = 'H',
- NPY_INTLTR = 'i',
- NPY_UINTLTR = 'I',
- NPY_LONGLTR = 'l',
- NPY_ULONGLTR = 'L',
- NPY_LONGLONGLTR = 'q',
- NPY_ULONGLONGLTR = 'Q',
- NPY_HALFLTR = 'e',
- NPY_FLOATLTR = 'f',
- NPY_DOUBLELTR = 'd',
- NPY_LONGDOUBLELTR = 'g',
- NPY_CFLOATLTR = 'F',
- NPY_CDOUBLELTR = 'D',
- NPY_CLONGDOUBLELTR = 'G',
- NPY_OBJECTLTR = 'O',
- NPY_STRINGLTR = 'S',
- NPY_STRINGLTR2 = 'a',
- NPY_UNICODELTR = 'U',
- NPY_VOIDLTR = 'V',
- NPY_DATETIMELTR = 'M',
- NPY_TIMEDELTALTR = 'm',
- NPY_CHARLTR = 'c',
-
- /*
- * No Descriptor, just a define -- this let's
- * Python users specify an array of integers
- * large enough to hold a pointer on the
- * platform
- */
- NPY_INTPLTR = 'p',
- NPY_UINTPLTR = 'P',
-
- /*
- * These are for dtype 'kinds', not dtype 'typecodes'
- * as the above are for.
- */
- NPY_GENBOOLLTR ='b',
- NPY_SIGNEDLTR = 'i',
- NPY_UNSIGNEDLTR = 'u',
- NPY_FLOATINGLTR = 'f',
- NPY_COMPLEXLTR = 'c'
-};
-
-typedef enum {
- NPY_QUICKSORT=0,
- NPY_HEAPSORT=1,
- NPY_MERGESORT=2
-} NPY_SORTKIND;
-#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
-} NPY_SEARCHSIDE;
-#define NPY_NSEARCHSIDES (NPY_SEARCHRIGHT + 1)
-
-
-typedef enum {
- NPY_NOSCALAR=-1,
- NPY_BOOL_SCALAR,
- NPY_INTPOS_SCALAR,
- NPY_INTNEG_SCALAR,
- NPY_FLOAT_SCALAR,
- NPY_COMPLEX_SCALAR,
- NPY_OBJECT_SCALAR
-} NPY_SCALARKIND;
-#define NPY_NSCALARKINDS (NPY_OBJECT_SCALAR + 1)
-
-/* For specifying array memory layout or iteration order */
-typedef enum {
- /* Fortran order if inputs are all Fortran, C otherwise */
- NPY_ANYORDER=-1,
- /* C order */
- NPY_CORDER=0,
- /* Fortran order */
- NPY_FORTRANORDER=1,
- /* An order as close to the inputs as possible */
- NPY_KEEPORDER=2
-} NPY_ORDER;
-
-/* For specifying allowed casting in operations which support it */
-typedef enum {
- /* Only allow identical types */
- NPY_NO_CASTING=0,
- /* Allow identical and byte swapped types */
- NPY_EQUIV_CASTING=1,
- /* Only allow safe casts */
- NPY_SAFE_CASTING=2,
- /* Allow safe casts or casts within the same kind */
- NPY_SAME_KIND_CASTING=3,
- /* Allow any casts */
- 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 {
- NPY_CLIP=0,
- NPY_WRAP=1,
- NPY_RAISE=2
-} NPY_CLIPMODE;
-
-/* The special not-a-time (NaT) value */
-#define NPY_DATETIME_NAT NPY_MIN_INT64
-
-/*
- * Upper bound on the length of a DATETIME ISO 8601 string
- * YEAR: 21 (64-bit year)
- * MONTH: 3
- * DAY: 3
- * HOURS: 3
- * MINUTES: 3
- * SECONDS: 3
- * ATTOSECONDS: 1 + 3*6
- * TIMEZONE: 5
- * NULL TERMINATOR: 1
- */
-#define NPY_DATETIME_MAX_ISO8601_STRLEN (21+3*5+1+3*6+6+1)
-
-typedef enum {
- NPY_FR_Y = 0, /* Years */
- NPY_FR_M = 1, /* Months */
- NPY_FR_W = 2, /* Weeks */
- /* Gap where 1.6 NPY_FR_B (value 3) was */
- NPY_FR_D = 4, /* Days */
- NPY_FR_h = 5, /* hours */
- NPY_FR_m = 6, /* minutes */
- NPY_FR_s = 7, /* seconds */
- NPY_FR_ms = 8, /* milliseconds */
- NPY_FR_us = 9, /* microseconds */
- NPY_FR_ns = 10,/* nanoseconds */
- NPY_FR_ps = 11,/* picoseconds */
- NPY_FR_fs = 12,/* femtoseconds */
- NPY_FR_as = 13,/* attoseconds */
- NPY_FR_GENERIC = 14 /* Generic, unbound units, can convert to anything
*/
-} NPY_DATETIMEUNIT;
-
-/*
- * NOTE: With the NPY_FR_B gap for 1.6 ABI compatibility, NPY_DATETIME_NUMUNITS
- * is technically one more than the actual number of units.
- */
-#define NPY_DATETIME_NUMUNITS (NPY_FR_GENERIC + 1)
-#define NPY_DATETIME_DEFAULTUNIT NPY_FR_GENERIC
-
-/*
- * Business day conventions for mapping invalid business
- * days to valid business days.
- */
-typedef enum {
- /* Go forward in time to the following business day. */
- NPY_BUSDAY_FORWARD,
- NPY_BUSDAY_FOLLOWING = NPY_BUSDAY_FORWARD,
- /* Go backward in time to the preceding business day. */
- NPY_BUSDAY_BACKWARD,
- NPY_BUSDAY_PRECEDING = NPY_BUSDAY_BACKWARD,
- /*
- * Go forward in time to the following business day, unless it
- * crosses a month boundary, in which case go backward
- */
- NPY_BUSDAY_MODIFIEDFOLLOWING,
- /*
- * Go backward in time to the preceding business day, unless it
- * crosses a month boundary, in which case go forward.
- */
- NPY_BUSDAY_MODIFIEDPRECEDING,
- /* Produce a NaT for non-business days. */
- NPY_BUSDAY_NAT,
- /* Raise an exception for non-business days. */
- NPY_BUSDAY_RAISE
-} NPY_BUSDAY_ROLL;
-
-/************************************************************
- * NumPy Auxiliary Data for inner loops, sort functions, etc.
- ************************************************************/
-
-/*
- * When creating an auxiliary data struct, this should always appear
- * as the first member, like this:
- *
- * typedef struct {
- * NpyAuxData base;
- * double constant;
- * } constant_multiplier_aux_data;
- */
-typedef struct NpyAuxData_tag NpyAuxData;
-
-/* Function pointers for freeing or cloning auxiliary data */
-typedef void (NpyAuxData_FreeFunc) (NpyAuxData *);
-typedef NpyAuxData *(NpyAuxData_CloneFunc) (NpyAuxData *);
-
-struct NpyAuxData_tag {
- NpyAuxData_FreeFunc *free;
- NpyAuxData_CloneFunc *clone;
- /* To allow for a bit of expansion without breaking the ABI */
- void *reserved[2];
-};
-
-/* Macros to use for freeing and cloning auxiliary data */
-#define NPY_AUXDATA_FREE(auxdata) \
- do { \
- if ((auxdata) != NULL) { \
- (auxdata)->free(auxdata); \
- } \
- } while(0)
-#define NPY_AUXDATA_CLONE(auxdata) \
- ((auxdata)->clone(auxdata))
-
-#define NPY_ERR(str) fprintf(stderr, #str); fflush(stderr);
-#define NPY_ERR2(str) fprintf(stderr, str); fflush(stderr);
-
-#define NPY_STRINGIFY(x) #x
-#define NPY_TOSTRING(x) NPY_STRINGIFY(x)
-
- /*
- * Macros to define how array, and dimension/strides data is
- * allocated.
- */
-
- /* Data buffer - PyDataMem_NEW/FREE/RENEW are in multiarraymodule.c */
-
-#define NPY_USE_PYMEM 1
-
-#if NPY_USE_PYMEM == 1
-#define PyArray_malloc PyMem_Malloc
-#define PyArray_free PyMem_Free
-#define PyArray_realloc PyMem_Realloc
-#else
-#define PyArray_malloc malloc
-#define PyArray_free free
-#define PyArray_realloc realloc
-#endif
-
-/* Dimensions and strides */
-#define PyDimMem_NEW(size) \
- ((npy_intp *)PyArray_malloc(size*sizeof(npy_intp)))
-
-#define PyDimMem_FREE(ptr) PyArray_free(ptr)
-
-#define PyDimMem_RENEW(ptr,size) \
- ((npy_intp *)PyArray_realloc(ptr,size*sizeof(npy_intp)))
-
-/* forward declaration */
-struct _PyArray_Descr;
-
-/* These must deal with unaligned and swapped data if necessary */
-typedef PyObject * (PyArray_GetItemFunc) (void *, void *);
-typedef int (PyArray_SetItemFunc)(PyObject *, void *, void *);
-
-typedef void (PyArray_CopySwapNFunc)(void *, npy_intp, void *, npy_intp,
- npy_intp, int, void *);
-
-typedef void (PyArray_CopySwapFunc)(void *, void *, int, void *);
-typedef npy_bool (PyArray_NonzeroFunc)(void *, void *);
-
-
-/*
- * These assume aligned and notswapped data -- a buffer will be used
- * before or contiguous data will be obtained
- */
-
-typedef int (PyArray_CompareFunc)(const void *, const void *, void *);
-typedef int (PyArray_ArgFunc)(void*, npy_intp, npy_intp*, void *);
-
-typedef void (PyArray_DotFunc)(void *, npy_intp, void *, npy_intp, void *,
- npy_intp, void *);
-
-typedef void (PyArray_VectorUnaryFunc)(void *, void *, npy_intp, void *,
- void *);
-
-/*
- * XXX the ignore argument should be removed next time the API version
- * is bumped. It used to be the separator.
- */
-typedef int (PyArray_ScanFunc)(FILE *fp, void *dptr,
- char *ignore, struct _PyArray_Descr *);
-typedef int (PyArray_FromStrFunc)(char *s, void *dptr, char **endptr,
- struct _PyArray_Descr *);
-
-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 *);
-
-typedef int (PyArray_ScalarKindFunc)(void *);
-
-typedef void (PyArray_FastClipFunc)(void *in, npy_intp n_in, void *min,
- void *max, void *out);
-typedef void (PyArray_FastPutmaskFunc)(void *in, void *mask, npy_intp n_in,
- void *values, npy_intp nv);
-typedef int (PyArray_FastTakeFunc)(void *dest, void *src, npy_intp *indarray,
- npy_intp nindarray, npy_intp n_outer,
- npy_intp m_middle, npy_intp nelem,
- NPY_CLIPMODE clipmode);
-
-typedef struct {
- npy_intp *ptr;
- int len;
-} PyArray_Dims;
-
-typedef struct {
- /*
- * Functions to cast to most other standard types
- * Can have some NULL entries. The types
- * DATETIME, TIMEDELTA, and HALF go into the castdict
- * even though they are built-in.
- */
- PyArray_VectorUnaryFunc *cast[NPY_NTYPES_ABI_COMPATIBLE];
-
- /* The next four functions *cannot* be NULL */
-
- /*
- * Functions to get and set items with standard Python types
- * -- not array scalars
- */
- PyArray_GetItemFunc *getitem;
- PyArray_SetItemFunc *setitem;
-
- /*
- * Copy and/or swap data. Memory areas may not overlap
- * Use memmove first if they might
- */
- PyArray_CopySwapNFunc *copyswapn;
- PyArray_CopySwapFunc *copyswap;
-
- /*
- * Function to compare items
- * Can be NULL
- */
- PyArray_CompareFunc *compare;
-
- /*
- * Function to select largest
- * Can be NULL
- */
- PyArray_ArgFunc *argmax;
-
- /*
- * Function to compute dot product
- * Can be NULL
- */
- PyArray_DotFunc *dotfunc;
-
- /*
- * Function to scan an ASCII file and
- * place a single value plus possible separator
- * Can be NULL
- */
- PyArray_ScanFunc *scanfunc;
-
- /*
- * Function to read a single value from a string
- * and adjust the pointer; Can be NULL
- */
- PyArray_FromStrFunc *fromstr;
-
- /*
- * Function to determine if data is zero or not
- * If NULL a default version is
- * used at Registration time.
- */
- PyArray_NonzeroFunc *nonzero;
-
- /*
- * Used for arange.
- * Can be NULL.
- */
- PyArray_FillFunc *fill;
-
- /*
- * Function to fill arrays with scalar values
- * Can be NULL
- */
- PyArray_FillWithScalarFunc *fillwithscalar;
-
- /*
- * Sorting functions
- * Can be NULL
- */
- PyArray_SortFunc *sort[NPY_NSORTS];
- PyArray_ArgSortFunc *argsort[NPY_NSORTS];
-
- /*
- * Dictionary of additional casting functions
- * PyArray_VectorUnaryFuncs
- * which can be populated to support casting
- * to other registered types. Can be NULL
- */
- PyObject *castdict;
-
- /*
- * Functions useful for generalizing
- * the casting rules.
- * Can be NULL;
- */
- PyArray_ScalarKindFunc *scalarkind;
- int **cancastscalarkindto;
- int *cancastto;
-
- PyArray_FastClipFunc *fastclip;
- PyArray_FastPutmaskFunc *fastputmask;
- PyArray_FastTakeFunc *fasttake;
-
- /*
- * Function to select smallest
- * Can be NULL
- */
- PyArray_ArgFunc *argmin;
-
-} PyArray_ArrFuncs;
-
-/* The item must be reference counted when it is inserted or extracted. */
-#define NPY_ITEM_REFCOUNT 0x01
-/* Same as needing REFCOUNT */
-#define NPY_ITEM_HASOBJECT 0x01
-/* Convert to list for pickling */
-#define NPY_LIST_PICKLE 0x02
-/* The item is a POINTER */
-#define NPY_ITEM_IS_POINTER 0x04
-/* memory needs to be initialized for this data-type */
-#define NPY_NEEDS_INIT 0x08
-/* operations need Python C-API so don't give-up thread. */
-#define NPY_NEEDS_PYAPI 0x10
-/* Use f.getitem when extracting elements of this data-type */
-#define NPY_USE_GETITEM 0x20
-/* Use f.setitem when setting creating 0-d array from this data-type.*/
-#define NPY_USE_SETITEM 0x40
-/* A sticky flag specifically for structured arrays */
-#define NPY_ALIGNED_STRUCT 0x80
-
-/*
- *These are inherited for global data-type if any data-types in the
- * field have them
- */
-#define NPY_FROM_FIELDS (NPY_NEEDS_INIT | NPY_LIST_PICKLE | \
- NPY_ITEM_REFCOUNT | NPY_NEEDS_PYAPI)
-
-#define NPY_OBJECT_DTYPE_FLAGS (NPY_LIST_PICKLE | NPY_USE_GETITEM | \
- NPY_ITEM_IS_POINTER | NPY_ITEM_REFCOUNT | \
- NPY_NEEDS_INIT | NPY_NEEDS_PYAPI)
-
-#define PyDataType_FLAGCHK(dtype, flag) \
- (((dtype)->flags & (flag)) == (flag))
-
-#define PyDataType_REFCHK(dtype) \
- PyDataType_FLAGCHK(dtype, NPY_ITEM_REFCOUNT)
-
-typedef struct _PyArray_Descr {
- PyObject_HEAD
- /*
- * the type object representing an
- * instance of this type -- should not
- * be two type_numbers with the same type
- * object.
- */
- PyTypeObject *typeobj;
- /* kind for this type */
- char kind;
- /* unique-character representing this type */
- char type;
- /*
- * '>' (big), '<' (little), '|'
- * (not-applicable), or '=' (native).
- */
- char byteorder;
- /* flags describing data type */
- char flags;
- /* number representing this type */
- int type_num;
- /* element size (itemsize) for this type */
- int elsize;
- /* alignment needed for this type */
- int alignment;
- /*
- * Non-NULL if this type is
- * is an array (C-contiguous)
- * of some other type
- */
- struct _arr_descr *subarray;
- /*
- * The fields dictionary for this type
- * For statically defined descr this
- * is always Py_None
- */
- PyObject *fields;
- /*
- * An ordered tuple of field names or NULL
- * if no fields are defined
- */
- PyObject *names;
- /*
- * a table of functions specific for each
- * basic data descriptor
- */
- PyArray_ArrFuncs *f;
- /* Metadata about this dtype */
- PyObject *metadata;
- /*
- * Metadata specific to the C implementation
- * of the particular dtype. This was added
- * for NumPy 1.7.0.
- */
- NpyAuxData *c_metadata;
-} PyArray_Descr;
-
-typedef struct _arr_descr {
- PyArray_Descr *base;
- PyObject *shape; /* a tuple */
-} PyArray_ArrayDescr;
-
-/*
- * The main array object structure.
- *
- * It has been recommended to use the inline functions defined below
- * (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).
- */
-/* This struct will be moved to a private header in a future release */
-typedef struct tagPyArrayObject_fields {
- PyObject_HEAD
- /* Pointer to the raw data buffer */
- char *data;
- /* The number of dimensions, also called 'ndim' */
- int nd;
- /* The size in each dimension, also called 'shape' */
- npy_intp *dimensions;
- /*
- * Number of bytes to jump to get to the
- * next element in each dimension
- */
- npy_intp *strides;
- /*
- * This object is decref'd upon
- * deletion of array. Except in the
- * case of UPDATEIFCOPY which has
- * special handling.
- *
- * For views it points to the original
- * array, collapsed so no chains of
- * views occur.
- *
- * For creation from buffer object it
- * points to an object that shold be
- * decref'd on deletion
- *
- * For UPDATEIFCOPY flag this is an
- * array to-be-updated upon deletion
- * of this one
- */
- PyObject *base;
- /* Pointer to type structure */
- PyArray_Descr *descr;
- /* Flags describing array -- see below */
- int flags;
- /* For weak references */
- PyObject *weakreflist;
-} PyArrayObject_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)
-/*
- * Can't put this in npy_deprecated_api.h like the others.
- * PyArrayObject field access is deprecated as of NumPy 1.7.
- */
-typedef PyArrayObject_fields PyArrayObject;
-#else
-typedef struct tagPyArrayObject {
- PyObject_HEAD
-} PyArrayObject;
-#endif
-
-#define NPY_SIZEOF_PYARRAYOBJECT (sizeof(PyArrayObject_fields))
-
-/* Array Flags Object */
-typedef struct PyArrayFlagsObject {
- PyObject_HEAD
- PyObject *arr;
- int flags;
-} PyArrayFlagsObject;
-
-/* Mirrors buffer object to ptr */
-
-typedef struct {
- PyObject_HEAD
- PyObject *base;
- void *ptr;
- npy_intp len;
- int flags;
-} PyArray_Chunk;
-
-typedef struct {
- NPY_DATETIMEUNIT base;
- int num;
-} PyArray_DatetimeMetaData;
-
-typedef struct {
- NpyAuxData base;
- PyArray_DatetimeMetaData meta;
-} PyArray_DatetimeDTypeMetaData;
-
-/*
- * This structure contains an exploded view of a date-time value.
- * NaT is represented by year == NPY_DATETIME_NAT.
- */
-typedef struct {
- npy_int64 year;
- npy_int32 month, day, hour, min, sec, us, ps, as;
-} npy_datetimestruct;
-
-/* This is not used internally. */
-typedef struct {
- npy_int64 day;
- npy_int32 sec, us, ps, as;
-} npy_timedeltastruct;
-
-typedef int (PyArray_FinalizeFunc)(PyArrayObject *, PyObject *);
-
-/*
- * Means c-style contiguous (last index varies the fastest). The data
- * elements right after each other.
- *
- * This flag may be requested in constructor functions.
- * This flag may be tested for in PyArray_FLAGS(arr).
- */
-#define NPY_ARRAY_C_CONTIGUOUS 0x0001
-
-/*
- * Set if array is a contiguous Fortran array: the first index varies
- * the fastest in memory (strides array is reverse of C-contiguous
- * array)
- *
- * This flag may be requested in constructor functions.
- * This flag may be tested for in PyArray_FLAGS(arr).
- */
-#define NPY_ARRAY_F_CONTIGUOUS 0x0002
-
-/*
- * 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.
- */
-
-/*
- * If set, the array owns the data: it will be free'd when the array
- * is deleted.
- *
- * This flag may be tested for in PyArray_FLAGS(arr).
- */
-#define NPY_ARRAY_OWNDATA 0x0004
-
-/*
- * An array never has the next four set; they're only used as parameter
- * flags to the the various FromAny functions
- *
- * This flag may be requested in constructor functions.
- */
-
-/* Cause a cast to occur regardless of whether or not it is safe. */
-#define NPY_ARRAY_FORCECAST 0x0010
-
-/*
- * Always copy the array. Returned arrays are always CONTIGUOUS,
- * ALIGNED, and WRITEABLE.
- *
- * This flag may be requested in constructor functions.
- */
-#define NPY_ARRAY_ENSURECOPY 0x0020
-
-/*
- * Make sure the returned array is a base-class ndarray
- *
- * This flag may be requested in constructor functions.
- */
-#define NPY_ARRAY_ENSUREARRAY 0x0040
-
-/*
- * Make sure that the strides are in units of the element size Needed
- * for some operations with record-arrays.
- *
- * This flag may be requested in constructor functions.
- */
-#define NPY_ARRAY_ELEMENTSTRIDES 0x0080
-
-/*
- * Array data is aligned on the appropiate memory address for the type
- * stored according to how the compiler would align things (e.g., an
- * array of integers (4 bytes each) starts on a memory address that's
- * a multiple of 4)
- *
- * This flag may be requested in constructor functions.
- * This flag may be tested for in PyArray_FLAGS(arr).
- */
-#define NPY_ARRAY_ALIGNED 0x0100
-
-/*
- * Array data has the native endianness
- *
- * This flag may be requested in constructor functions.
- */
-#define NPY_ARRAY_NOTSWAPPED 0x0200
-
-/*
- * Array data is writeable
- *
- * This flag may be requested in constructor functions.
- * This flag may be tested for in PyArray_FLAGS(arr).
- */
-#define NPY_ARRAY_WRITEABLE 0x0400
-
-/*
- * If this flag is set, then base contains a pointer to an array of
- * the same size that should be updated with the current contents of
- * this array when this array is deallocated
- *
- * This flag may be requested in constructor functions.
- * This flag may be tested for in PyArray_FLAGS(arr).
- */
-#define NPY_ARRAY_UPDATEIFCOPY 0x1000
-
-/*
- * NOTE: there are also internal flags defined in multiarray/arrayobject.h,
- * which start at bit 31 and work down.
- */
-
-#define NPY_ARRAY_BEHAVED (NPY_ARRAY_ALIGNED | \
- NPY_ARRAY_WRITEABLE)
-#define NPY_ARRAY_BEHAVED_NS (NPY_ARRAY_ALIGNED | \
- NPY_ARRAY_WRITEABLE | \
- NPY_ARRAY_NOTSWAPPED)
-#define NPY_ARRAY_CARRAY (NPY_ARRAY_C_CONTIGUOUS | \
- NPY_ARRAY_BEHAVED)
-#define NPY_ARRAY_CARRAY_RO (NPY_ARRAY_C_CONTIGUOUS | \
- NPY_ARRAY_ALIGNED)
-#define NPY_ARRAY_FARRAY (NPY_ARRAY_F_CONTIGUOUS | \
- NPY_ARRAY_BEHAVED)
-#define NPY_ARRAY_FARRAY_RO (NPY_ARRAY_F_CONTIGUOUS | \
- NPY_ARRAY_ALIGNED)
-#define NPY_ARRAY_DEFAULT (NPY_ARRAY_CARRAY)
-#define NPY_ARRAY_IN_ARRAY (NPY_ARRAY_CARRAY_RO)
-#define NPY_ARRAY_OUT_ARRAY (NPY_ARRAY_CARRAY)
-#define NPY_ARRAY_INOUT_ARRAY (NPY_ARRAY_CARRAY | \
- NPY_ARRAY_UPDATEIFCOPY)
-#define NPY_ARRAY_IN_FARRAY (NPY_ARRAY_FARRAY_RO)
-#define NPY_ARRAY_OUT_FARRAY (NPY_ARRAY_FARRAY)
-#define NPY_ARRAY_INOUT_FARRAY (NPY_ARRAY_FARRAY | \
- NPY_ARRAY_UPDATEIFCOPY)
-
-#define NPY_ARRAY_UPDATE_ALL (NPY_ARRAY_C_CONTIGUOUS | \
- NPY_ARRAY_F_CONTIGUOUS | \
- NPY_ARRAY_ALIGNED)
-
-/* This flag is for the array interface, not PyArrayObject */
-#define NPY_ARR_HAS_DESCR 0x0800
-
-
-
-
-/*
- * Size of internal buffers used for alignment Make BUFSIZE a multiple
- * of sizeof(npy_cdouble) -- usually 16 so that ufunc buffers are aligned
- */
-#define NPY_MIN_BUFSIZE ((int)sizeof(npy_cdouble))
-#define NPY_MAX_BUFSIZE (((int)sizeof(npy_cdouble))*1000000)
-#define NPY_BUFSIZE 8192
-/* buffer stress test size: */
-/*#define NPY_BUFSIZE 17*/
-
-#define PyArray_MAX(a,b) (((a)>(b))?(a):(b))
-#define PyArray_MIN(a,b) (((a)<(b))?(a):(b))
-#define PyArray_CLT(p,q) ((((p).real==(q).real) ? ((p).imag < (q).imag) : \
- ((p).real < (q).real)))
-#define PyArray_CGT(p,q) ((((p).real==(q).real) ? ((p).imag > (q).imag) : \
- ((p).real > (q).real)))
-#define PyArray_CLE(p,q) ((((p).real==(q).real) ? ((p).imag <= (q).imag) : \
- ((p).real <= (q).real)))
-#define PyArray_CGE(p,q) ((((p).real==(q).real) ? ((p).imag >= (q).imag) : \
- ((p).real >= (q).real)))
-#define PyArray_CEQ(p,q) (((p).real==(q).real) && ((p).imag == (q).imag))
-#define PyArray_CNE(p,q) (((p).real!=(q).real) || ((p).imag != (q).imag))
-
-/*
- * C API: consists of Macros and functions. The MACROS are defined
- * here.
- */
-
-
-#define PyArray_ISCONTIGUOUS(m) PyArray_CHKFLAGS(m, NPY_ARRAY_C_CONTIGUOUS)
-#define PyArray_ISWRITEABLE(m) PyArray_CHKFLAGS(m, NPY_ARRAY_WRITEABLE)
-#define PyArray_ISALIGNED(m) PyArray_CHKFLAGS(m, NPY_ARRAY_ALIGNED)
-
-#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)
-
-#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);} while
(0);
-#define NPY_BEGIN_THREADS_THRESHOLDED(loop_size) do { if (loop_size > 500) \
- { _save = PyEval_SaveThread();} } while (0);
-
-#define NPY_BEGIN_THREADS_DESCR(dtype) \
- do {if (!(PyDataType_FLAGCHK(dtype, NPY_NEEDS_PYAPI))) \
- NPY_BEGIN_THREADS;} while (0);
-
-#define NPY_END_THREADS_DESCR(dtype) \
- do {if (!(PyDataType_FLAGCHK(dtype, NPY_NEEDS_PYAPI))) \
- NPY_END_THREADS; } while (0);
-
-#define NPY_ALLOW_C_API_DEF PyGILState_STATE __save__;
-#define NPY_ALLOW_C_API do {__save__ = PyGILState_Ensure();} while (0);
-#define NPY_DISABLE_C_API do {PyGILState_Release(__save__);} while (0);
-#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
-#define NPY_ALLOW_C_API
-#define NPY_DISABLE_C_API
-#endif
-
-/**********************************
- * The nditer object, added in 1.6
- **********************************/
-
-/* The actual structure of the iterator is an internal detail */
-typedef struct NpyIter_InternalOnly NpyIter;
-
-/* Iterator function pointers that may be specialized */
-typedef int (NpyIter_IterNextFunc)(NpyIter *iter);
-typedef void (NpyIter_GetMultiIndexFunc)(NpyIter *iter,
- npy_intp *outcoords);
-
-/*** Global flags that may be passed to the iterator constructors ***/
-
-/* Track an index representing C order */
-#define NPY_ITER_C_INDEX 0x00000001
-/* Track an index representing Fortran order */
-#define NPY_ITER_F_INDEX 0x00000002
-/* Track a multi-index */
-#define NPY_ITER_MULTI_INDEX 0x00000004
-/* User code external to the iterator does the 1-dimensional innermost loop */
-#define NPY_ITER_EXTERNAL_LOOP 0x00000008
-/* Convert all the operands to a common data type */
-#define NPY_ITER_COMMON_DTYPE 0x00000010
-/* Operands may hold references, requiring API access during iteration */
-#define NPY_ITER_REFS_OK 0x00000020
-/* Zero-sized operands should be permitted, iteration checks IterSize for 0 */
-#define NPY_ITER_ZEROSIZE_OK 0x00000040
-/* Permits reductions (size-0 stride with dimension size > 1) */
-#define NPY_ITER_REDUCE_OK 0x00000080
-/* Enables sub-range iteration */
-#define NPY_ITER_RANGED 0x00000100
-/* Enables buffering */
-#define NPY_ITER_BUFFERED 0x00000200
-/* When buffering is enabled, grows the inner loop if possible */
-#define NPY_ITER_GROWINNER 0x00000400
-/* Delay allocation of buffers until first Reset* call */
-#define NPY_ITER_DELAY_BUFALLOC 0x00000800
-/* When NPY_KEEPORDER is specified, disable reversing negative-stride axes */
-#define NPY_ITER_DONT_NEGATE_STRIDES 0x00001000
-
-/*** Per-operand flags that may be passed to the iterator constructors ***/
-
-/* The operand will be read from and written to */
-#define NPY_ITER_READWRITE 0x00010000
-/* The operand will only be read from */
-#define NPY_ITER_READONLY 0x00020000
-/* The operand will only be written to */
-#define NPY_ITER_WRITEONLY 0x00040000
-/* The operand's data must be in native byte order */
-#define NPY_ITER_NBO 0x00080000
-/* The operand's data must be aligned */
-#define NPY_ITER_ALIGNED 0x00100000
-/* The operand's data must be contiguous (within the inner loop) */
-#define NPY_ITER_CONTIG 0x00200000
-/* The operand may be copied to satisfy requirements */
-#define NPY_ITER_COPY 0x00400000
-/* The operand may be copied with UPDATEIFCOPY to satisfy requirements */
-#define NPY_ITER_UPDATEIFCOPY 0x00800000
-/* Allocate the operand if it is NULL */
-#define NPY_ITER_ALLOCATE 0x01000000
-/* If an operand is allocated, don't use any subtype */
-#define NPY_ITER_NO_SUBTYPE 0x02000000
-/* This is a virtual array slot, operand is NULL but temporary data is there */
-#define NPY_ITER_VIRTUAL 0x04000000
-/* Require that the dimension match the iterator dimensions exactly */
-#define NPY_ITER_NO_BROADCAST 0x08000000
-/* A mask is being used on this array, affects buffer -> array copy */
-#define NPY_ITER_WRITEMASKED 0x10000000
-/* This array is the mask for all WRITEMASKED operands */
-#define NPY_ITER_ARRAYMASK 0x20000000
-
-#define NPY_ITER_GLOBAL_FLAGS 0x0000ffff
-#define NPY_ITER_PER_OP_FLAGS 0xffff0000
-
-
-/*****************************
- * Basic iterator object
- *****************************/
-
-/* FWD declaration */
-typedef struct PyArrayIterObject_tag PyArrayIterObject;
-
-/*
- * type of the function which translates a set of coordinates to a
- * pointer to the data
- */
-typedef char* (*npy_iter_get_dataptr_t)(PyArrayIterObject* iter, npy_intp*);
-
-struct PyArrayIterObject_tag {
- PyObject_HEAD
- int nd_m1; /* number of dimensions - 1 */
- npy_intp index, size;
- npy_intp coordinates[NPY_MAXDIMS];/* N-dimensional loop */
- npy_intp dims_m1[NPY_MAXDIMS]; /* ao->dimensions - 1 */
- npy_intp strides[NPY_MAXDIMS]; /* ao->strides or fake */
- npy_intp backstrides[NPY_MAXDIMS];/* how far to jump back */
- npy_intp factors[NPY_MAXDIMS]; /* shape factors */
- PyArrayObject *ao;
- char *dataptr; /* pointer to current item*/
- npy_bool contiguous;
-
- npy_intp bounds[NPY_MAXDIMS][2];
- npy_intp limits[NPY_MAXDIMS][2];
- npy_intp limits_sizes[NPY_MAXDIMS];
- npy_iter_get_dataptr_t translate;
-} ;
-
-
-/* Iterator API */
-#define PyArrayIter_Check(op) PyObject_TypeCheck(op, &PyArrayIter_Type)
-
-#define _PyAIT(it) ((PyArrayIterObject *)(it))
-#define PyArray_ITER_RESET(it) do { \
- _PyAIT(it)->index = 0; \
- _PyAIT(it)->dataptr = PyArray_BYTES(_PyAIT(it)->ao); \
- memset(_PyAIT(it)->coordinates, 0, \
- (_PyAIT(it)->nd_m1+1)*sizeof(npy_intp)); \
-} while (0)
-
-#define _PyArray_ITER_NEXT1(it) do { \
- (it)->dataptr += _PyAIT(it)->strides[0]; \
- (it)->coordinates[0]++; \
-} while (0)
-
-#define _PyArray_ITER_NEXT2(it) do { \
- 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_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) { \
- _PyArray_ITER_NEXT1(_PyAIT(it)); \
- } \
- else if (_PyAIT(it)->contiguous) \
- _PyAIT(it)->dataptr += PyArray_DESCR(_PyAIT(it)->ao)->elsize; \
- else if (_PyAIT(it)->nd_m1 == 1) { \
- _PyArray_ITER_NEXT2(_PyAIT(it)); \
- } \
- else { \
- int __npy_i; \
- for (__npy_i=_PyAIT(it)->nd_m1; __npy_i >= 0; __npy_i--) { \
- if (_PyAIT(it)->coordinates[__npy_i] < \
- _PyAIT(it)->dims_m1[__npy_i]) { \
- _PyAIT(it)->coordinates[__npy_i]++; \
- _PyAIT(it)->dataptr += \
- _PyAIT(it)->strides[__npy_i]; \
- break; \
- } \
- else { \
- _PyAIT(it)->coordinates[__npy_i] = 0; \
- _PyAIT(it)->dataptr -= \
- _PyAIT(it)->backstrides[__npy_i]; \
- } \
- } \
- } \
-} while (0)
-
-#define PyArray_ITER_GOTO(it, destination) do { \
- int __npy_i; \
- _PyAIT(it)->index = 0; \
- _PyAIT(it)->dataptr = PyArray_BYTES(_PyAIT(it)->ao); \
- for (__npy_i = _PyAIT(it)->nd_m1; __npy_i>=0; __npy_i--) { \
- if (destination[__npy_i] < 0) { \
- destination[__npy_i] += \
- _PyAIT(it)->dims_m1[__npy_i]+1; \
- } \
- _PyAIT(it)->dataptr += destination[__npy_i] * \
- _PyAIT(it)->strides[__npy_i]; \
- _PyAIT(it)->coordinates[__npy_i] = \
- destination[__npy_i]; \
- _PyAIT(it)->index += destination[__npy_i] * \
- ( __npy_i==_PyAIT(it)->nd_m1 ? 1 : \
- _PyAIT(it)->dims_m1[__npy_i+1]+1) ; \
- } \
-} while (0)
-
-#define PyArray_ITER_GOTO1D(it, ind) do { \
- int __npy_i; \
- npy_intp __npy_ind = (npy_intp) (ind); \
- if (__npy_ind < 0) __npy_ind += _PyAIT(it)->size; \
- _PyAIT(it)->index = __npy_ind; \
- if (_PyAIT(it)->nd_m1 == 0) { \
- _PyAIT(it)->dataptr = PyArray_BYTES(_PyAIT(it)->ao) + \
- __npy_ind * _PyAIT(it)->strides[0]; \
- } \
- else if (_PyAIT(it)->contiguous) \
- _PyAIT(it)->dataptr = PyArray_BYTES(_PyAIT(it)->ao) + \
- __npy_ind * PyArray_DESCR(_PyAIT(it)->ao)->elsize; \
- else { \
- _PyAIT(it)->dataptr = PyArray_BYTES(_PyAIT(it)->ao); \
- for (__npy_i = 0; __npy_i<=_PyAIT(it)->nd_m1; \
- __npy_i++) { \
- _PyAIT(it)->dataptr += \
- (__npy_ind / _PyAIT(it)->factors[__npy_i]) \
- * _PyAIT(it)->strides[__npy_i]; \
- __npy_ind %= _PyAIT(it)->factors[__npy_i]; \
- } \
- } \
-} while (0)
-
-#define PyArray_ITER_DATA(it) ((void *)(_PyAIT(it)->dataptr))
-
-#define PyArray_ITER_NOTDONE(it) (_PyAIT(it)->index < _PyAIT(it)->size)
-
-
-/*
- * Any object passed to PyArray_Broadcast must be binary compatible
- * with this structure.
- */
-
-typedef struct {
- PyObject_HEAD
- int numiter; /* number of iters */
- npy_intp size; /* broadcasted size */
- npy_intp index; /* current index */
- int nd; /* number of dims */
- npy_intp dimensions[NPY_MAXDIMS]; /* dimensions */
- PyArrayIterObject *iters[NPY_MAXARGS]; /* iterators */
-} PyArrayMultiIterObject;
-
-#define _PyMIT(m) ((PyArrayMultiIterObject *)(m))
-#define PyArray_MultiIter_RESET(multi) do { \
- int __npy_mi; \
- _PyMIT(multi)->index = 0; \
- for (__npy_mi=0; __npy_mi < _PyMIT(multi)->numiter; __npy_mi++) { \
- PyArray_ITER_RESET(_PyMIT(multi)->iters[__npy_mi]); \
- } \
-} while (0)
-
-#define PyArray_MultiIter_NEXT(multi) do { \
- int __npy_mi; \
- _PyMIT(multi)->index++; \
- for (__npy_mi=0; __npy_mi < _PyMIT(multi)->numiter; __npy_mi++) { \
- PyArray_ITER_NEXT(_PyMIT(multi)->iters[__npy_mi]); \
- } \
-} while (0)
-
-#define PyArray_MultiIter_GOTO(multi, dest) do { \
- int __npy_mi; \
- for (__npy_mi=0; __npy_mi < _PyMIT(multi)->numiter; __npy_mi++) { \
- PyArray_ITER_GOTO(_PyMIT(multi)->iters[__npy_mi], dest); \
- } \
- _PyMIT(multi)->index = _PyMIT(multi)->iters[0]->index; \
-} while (0)
-
-#define PyArray_MultiIter_GOTO1D(multi, ind) do { \
- int __npy_mi; \
- for (__npy_mi=0; __npy_mi < _PyMIT(multi)->numiter; __npy_mi++) { \
- PyArray_ITER_GOTO1D(_PyMIT(multi)->iters[__npy_mi], ind); \
- } \
- _PyMIT(multi)->index = _PyMIT(multi)->iters[0]->index; \
-} while (0)
-
-#define PyArray_MultiIter_DATA(multi, i) \
- ((void *)(_PyMIT(multi)->iters[i]->dataptr))
-
-#define PyArray_MultiIter_NEXTi(multi, i) \
- PyArray_ITER_NEXT(_PyMIT(multi)->iters[i])
-
-#define PyArray_MultiIter_NOTDONE(multi) \
- (_PyMIT(multi)->index < _PyMIT(multi)->size)
-
-/* Store the information needed for fancy-indexing over an array */
-
-typedef struct {
- PyObject_HEAD
- /*
- * Multi-iterator portion --- needs to be present in this
- * order to work with PyArray_Broadcast
- */
-
- int numiter; /* number of index-array
- iterators */
- npy_intp size; /* size of broadcasted
- result */
- npy_intp index; /* current index */
- int nd; /* number of dims */
- npy_intp dimensions[NPY_MAXDIMS]; /* dimensions */
- PyArrayIterObject *iters[NPY_MAXDIMS]; /* index object
- iterators */
- PyArrayIterObject *ait; /* flat Iterator for
- underlying array */
-
- /* 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];
- /*
- * if subspace iteration, the these are the coordinates to the
- * start of the subspace.
- */
- npy_intp bscoord[NPY_MAXDIMS];
-
- PyObject *indexobj; /* creating obj */
- /*
- * consec is first used to indicate wether fancy indices are
- * consecutive and then denotes at which axis they are inserted
- */
- int consec;
- char *dataptr;
-
-} PyArrayMapIterObject;
-
-enum {
- NPY_NEIGHBORHOOD_ITER_ZERO_PADDING,
- NPY_NEIGHBORHOOD_ITER_ONE_PADDING,
- NPY_NEIGHBORHOOD_ITER_CONSTANT_PADDING,
- NPY_NEIGHBORHOOD_ITER_CIRCULAR_PADDING,
- NPY_NEIGHBORHOOD_ITER_MIRROR_PADDING
-};
-
-typedef struct {
- PyObject_HEAD
-
- /*
- * PyArrayIterObject part: keep this in this exact order
- */
- int nd_m1; /* number of dimensions - 1 */
- npy_intp index, size;
- npy_intp coordinates[NPY_MAXDIMS];/* N-dimensional loop */
- npy_intp dims_m1[NPY_MAXDIMS]; /* ao->dimensions - 1 */
- npy_intp strides[NPY_MAXDIMS]; /* ao->strides or fake */
- npy_intp backstrides[NPY_MAXDIMS];/* how far to jump back */
- npy_intp factors[NPY_MAXDIMS]; /* shape factors */
- PyArrayObject *ao;
- char *dataptr; /* pointer to current item*/
- npy_bool contiguous;
-
- npy_intp bounds[NPY_MAXDIMS][2];
- npy_intp limits[NPY_MAXDIMS][2];
- npy_intp limits_sizes[NPY_MAXDIMS];
- npy_iter_get_dataptr_t translate;
-
- /*
- * New members
- */
- npy_intp nd;
-
- /* Dimensions is the dimension of the array */
- npy_intp dimensions[NPY_MAXDIMS];
-
- /*
- * Neighborhood points coordinates are computed relatively to the
- * point pointed by _internal_iter
- */
- PyArrayIterObject* _internal_iter;
- /*
- * To keep a reference to the representation of the constant value
- * for constant padding
- */
- char* constant;
-
- int mode;
-} PyArrayNeighborhoodIterObject;
-
-/*
- * Neighborhood iterator API
- */
-
-/* General: those work for any mode */
-static NPY_INLINE int
-PyArrayNeighborhoodIter_Reset(PyArrayNeighborhoodIterObject* iter);
-static NPY_INLINE int
-PyArrayNeighborhoodIter_Next(PyArrayNeighborhoodIterObject* iter);
-#if 0
-static NPY_INLINE int
-PyArrayNeighborhoodIter_Next2D(PyArrayNeighborhoodIterObject* iter);
-#endif
-
-/*
- * Include inline implementations - functions defined there are not
- * considered public API
- */
-#define _NPY_INCLUDE_NEIGHBORHOOD_IMP
-//#include "_neighborhood_iterator_imp.h"
-#undef _NPY_INCLUDE_NEIGHBORHOOD_IMP
-
-/* The default array type */
-#define NPY_DEFAULT_TYPE NPY_DOUBLE
-
-/*
- * All sorts of useful ways to look into a PyArrayObject. It is recommended
- * to use PyArrayObject * objects instead of always casting from PyObject *,
- * for improved type checking.
- *
- * In many cases here the macro versions of the accessors are deprecated,
- * but can't be immediately changed to inline functions because the
- * preexisting macros accept PyObject * and do automatic casts. Inline
- * functions accepting PyArrayObject * provides for some compile-time
- * checking of correctness when working with these objects in C.
- */
-
-#define PyArray_ISONESEGMENT(m) (PyArray_NDIM(m) == 0 || \
- PyArray_CHKFLAGS(m, NPY_ARRAY_C_CONTIGUOUS) || \
- 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)))
-
-#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))
-/*
- * Changing access macros into functions, to allow for future hiding
- * of the internal memory layout. This later hiding will allow the 2.x series
- * to change the internal representation of arrays without affecting
- * ABI compatibility.
- */
-
-static NPY_INLINE int
-PyArray_NDIM(const PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->nd;
-}
-
-static NPY_INLINE void *
-PyArray_DATA(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->data;
-}
-
-static NPY_INLINE char *
-PyArray_BYTES(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->data;
-}
-
-static NPY_INLINE npy_intp *
-PyArray_DIMS(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->dimensions;
-}
-
-static NPY_INLINE npy_intp *
-PyArray_STRIDES(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->strides;
-}
-
-static NPY_INLINE npy_intp
-PyArray_DIM(const PyArrayObject *arr, int idim)
-{
- return ((PyArrayObject_fields *)arr)->dimensions[idim];
-}
-
-static NPY_INLINE npy_intp
-PyArray_STRIDE(const PyArrayObject *arr, int istride)
-{
- return ((PyArrayObject_fields *)arr)->strides[istride];
-}
-
-static NPY_INLINE PyObject *
-PyArray_BASE(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->base;
-}
-
-static NPY_INLINE PyArray_Descr *
-PyArray_DESCR(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->descr;
-}
-
-static NPY_INLINE int
-PyArray_FLAGS(const PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->flags;
-}
-
-static NPY_INLINE npy_intp
-PyArray_ITEMSIZE(const PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->descr->elsize;
-}
-
-static NPY_INLINE int
-PyArray_TYPE(const PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->descr->type_num;
-}
-
-static NPY_INLINE int
-PyArray_CHKFLAGS(const PyArrayObject *arr, int flags)
-{
- return (PyArray_FLAGS(arr) & flags) == flags;
-}
-
-static NPY_INLINE PyObject *
-PyArray_GETITEM(const PyArrayObject *arr, const char *itemptr)
-{
- return ((PyArrayObject_fields *)arr)->descr->f->getitem(
- (void *)itemptr, (PyArrayObject *)arr);
-}
-
-static NPY_INLINE int
-PyArray_SETITEM(PyArrayObject *arr, char *itemptr, PyObject *v)
-{
- return ((PyArrayObject_fields *)arr)->descr->f->setitem(
- v, itemptr, arr);
-}
-
-#else
-
-/* These macros are deprecated as of NumPy 1.7. */
-#define PyArray_NDIM(obj) (((PyArrayObject_fields *)(obj))->nd)
-#define PyArray_BYTES(obj) (((PyArrayObject_fields *)(obj))->data)
-#define PyArray_DATA(obj) ((void *)((PyArrayObject_fields *)(obj))->data)
-#define PyArray_DIMS(obj) (((PyArrayObject_fields *)(obj))->dimensions)
-#define PyArray_STRIDES(obj) (((PyArrayObject_fields *)(obj))->strides)
-#define PyArray_DIM(obj,n) (PyArray_DIMS(obj)[n])
-#define PyArray_STRIDE(obj,n) (PyArray_STRIDES(obj)[n])
-#define PyArray_BASE(obj) (((PyArrayObject_fields *)(obj))->base)
-#define PyArray_DESCR(obj) (((PyArrayObject_fields *)(obj))->descr)
-#define PyArray_FLAGS(obj) (((PyArrayObject_fields *)(obj))->flags)
-#define PyArray_CHKFLAGS(m, FLAGS) \
- ((((PyArrayObject_fields *)(m))->flags & (FLAGS)) == (FLAGS))
-#define PyArray_ITEMSIZE(obj) \
- (((PyArrayObject_fields *)(obj))->descr->elsize)
-#define PyArray_TYPE(obj) \
- (((PyArrayObject_fields *)(obj))->descr->type_num)
-#define PyArray_GETITEM(obj,itemptr) \
- PyArray_DESCR(obj)->f->getitem((char *)(itemptr), \
- (PyArrayObject *)(obj))
-
-#define PyArray_SETITEM(obj,itemptr,v) \
- PyArray_DESCR(obj)->f->setitem((PyObject *)(v), \
- (char *)(itemptr), \
- (PyArrayObject *)(obj))
-#endif
-
-static NPY_INLINE PyArray_Descr *
-PyArray_DTYPE(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->descr;
-}
-
-static NPY_INLINE npy_intp *
-PyArray_SHAPE(PyArrayObject *arr)
-{
- return ((PyArrayObject_fields *)arr)->dimensions;
-}
-
-/*
- * Enables the specified array flags. Does no checking,
- * assumes you know what you're doing.
- */
-static NPY_INLINE void
-PyArray_ENABLEFLAGS(PyArrayObject *arr, int flags)
-{
- ((PyArrayObject_fields *)arr)->flags |= flags;
-}
-
-/*
- * Clears the specified array flags. Does no checking,
- * assumes you know what you're doing.
- */
-static NPY_INLINE void
-PyArray_CLEARFLAGS(PyArrayObject *arr, int flags)
-{
- ((PyArrayObject_fields *)arr)->flags &= ~flags;
-}
-
-#define PyTypeNum_ISBOOL(type) ((type) == NPY_BOOL)
-
-#define PyTypeNum_ISUNSIGNED(type) (((type) == NPY_UBYTE) || \
- ((type) == NPY_USHORT) || \
- ((type) == NPY_UINT) || \
- ((type) == NPY_ULONG) || \
- ((type) == NPY_ULONGLONG))
-
-#define PyTypeNum_ISSIGNED(type) (((type) == NPY_BYTE) || \
- ((type) == NPY_SHORT) || \
- ((type) == NPY_INT) || \
- ((type) == NPY_LONG) || \
- ((type) == NPY_LONGLONG))
-
-#define PyTypeNum_ISINTEGER(type) (((type) >= NPY_BYTE) && \
- ((type) <= NPY_ULONGLONG))
-
-#define PyTypeNum_ISFLOAT(type) ((((type) >= NPY_FLOAT) && \
- ((type) <= NPY_LONGDOUBLE)) || \
- ((type) == NPY_HALF))
-
-#define PyTypeNum_ISNUMBER(type) (((type) <= NPY_CLONGDOUBLE) || \
- ((type) == NPY_HALF))
-
-#define PyTypeNum_ISSTRING(type) (((type) == NPY_STRING) || \
- ((type) == NPY_UNICODE))
-
-#define PyTypeNum_ISCOMPLEX(type) (((type) >= NPY_CFLOAT) && \
- ((type) <= NPY_CLONGDOUBLE))
-
-#define PyTypeNum_ISPYTHON(type) (((type) == NPY_LONG) || \
- ((type) == NPY_DOUBLE) || \
- ((type) == NPY_CDOUBLE) || \
- ((type) == NPY_BOOL) || \
- ((type) == NPY_OBJECT ))
-
-#define PyTypeNum_ISFLEXIBLE(type) (((type) >=NPY_STRING) && \
- ((type) <=NPY_VOID))
-
-#define PyTypeNum_ISDATETIME(type) (((type) >=NPY_DATETIME) && \
- ((type) <=NPY_TIMEDELTA))
-
-#define PyTypeNum_ISUSERDEF(type) (((type) >= NPY_USERDEF) && \
- ((type) < NPY_USERDEF+ \
- NPY_NUMUSERTYPES))
-
-#define PyTypeNum_ISEXTENDED(type) (PyTypeNum_ISFLEXIBLE(type) || \
- PyTypeNum_ISUSERDEF(type))
-
-#define PyTypeNum_ISOBJECT(type) ((type) == NPY_OBJECT)
-
-
-#define PyDataType_ISBOOL(obj) PyTypeNum_ISBOOL(_PyADt(obj))
-#define PyDataType_ISUNSIGNED(obj)
PyTypeNum_ISUNSIGNED(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISSIGNED(obj)
PyTypeNum_ISSIGNED(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISINTEGER(obj)
PyTypeNum_ISINTEGER(((PyArray_Descr*)(obj))->type_num )
-#define PyDataType_ISFLOAT(obj)
PyTypeNum_ISFLOAT(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISNUMBER(obj)
PyTypeNum_ISNUMBER(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISSTRING(obj)
PyTypeNum_ISSTRING(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISCOMPLEX(obj)
PyTypeNum_ISCOMPLEX(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISPYTHON(obj)
PyTypeNum_ISPYTHON(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISFLEXIBLE(obj)
PyTypeNum_ISFLEXIBLE(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISDATETIME(obj)
PyTypeNum_ISDATETIME(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISUSERDEF(obj)
PyTypeNum_ISUSERDEF(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISEXTENDED(obj)
PyTypeNum_ISEXTENDED(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_ISOBJECT(obj)
PyTypeNum_ISOBJECT(((PyArray_Descr*)(obj))->type_num)
-#define PyDataType_HASFIELDS(obj) (((PyArray_Descr *)(obj))->names != NULL)
-#define PyDataType_HASSUBARRAY(dtype) ((dtype)->subarray != NULL)
-
-#define PyArray_ISBOOL(obj) PyTypeNum_ISBOOL(PyArray_TYPE(obj))
-#define PyArray_ISUNSIGNED(obj) PyTypeNum_ISUNSIGNED(PyArray_TYPE(obj))
-#define PyArray_ISSIGNED(obj) PyTypeNum_ISSIGNED(PyArray_TYPE(obj))
-#define PyArray_ISINTEGER(obj) PyTypeNum_ISINTEGER(PyArray_TYPE(obj))
-#define PyArray_ISFLOAT(obj) PyTypeNum_ISFLOAT(PyArray_TYPE(obj))
-#define PyArray_ISNUMBER(obj) PyTypeNum_ISNUMBER(PyArray_TYPE(obj))
-#define PyArray_ISSTRING(obj) PyTypeNum_ISSTRING(PyArray_TYPE(obj))
-#define PyArray_ISCOMPLEX(obj) PyTypeNum_ISCOMPLEX(PyArray_TYPE(obj))
-#define PyArray_ISPYTHON(obj) PyTypeNum_ISPYTHON(PyArray_TYPE(obj))
-#define PyArray_ISFLEXIBLE(obj) PyTypeNum_ISFLEXIBLE(PyArray_TYPE(obj))
-#define PyArray_ISDATETIME(obj) PyTypeNum_ISDATETIME(PyArray_TYPE(obj))
-#define PyArray_ISUSERDEF(obj) PyTypeNum_ISUSERDEF(PyArray_TYPE(obj))
-#define PyArray_ISEXTENDED(obj) PyTypeNum_ISEXTENDED(PyArray_TYPE(obj))
-#define PyArray_ISOBJECT(obj) PyTypeNum_ISOBJECT(PyArray_TYPE(obj))
-#define PyArray_HASFIELDS(obj) PyDataType_HASFIELDS(PyArray_DESCR(obj))
-
- /*
- * FIXME: This should check for a flag on the data-type that
- * states whether or not it is variable length. Because the
- * ISFLEXIBLE check is hard-coded to the built-in data-types.
- */
-#define PyArray_ISVARIABLE(obj) PyTypeNum_ISFLEXIBLE(PyArray_TYPE(obj))
-
-#define PyArray_SAFEALIGNEDCOPY(obj) (PyArray_ISALIGNED(obj) &&
!PyArray_ISVARIABLE(obj))
-
-
-#define NPY_LITTLE '<'
-#define NPY_BIG '>'
-#define NPY_NATIVE '='
-#define NPY_SWAP 's'
-#define NPY_IGNORE '|'
-
-#if NPY_BYTE_ORDER == NPY_BIG_ENDIAN
-#define NPY_NATBYTE NPY_BIG
-#define NPY_OPPBYTE NPY_LITTLE
-#else
-#define NPY_NATBYTE NPY_LITTLE
-#define NPY_OPPBYTE NPY_BIG
-#endif
-
-#define PyArray_ISNBO(arg) ((arg) != NPY_OPPBYTE)
-#define PyArray_IsNativeByteOrder PyArray_ISNBO
-#define PyArray_ISNOTSWAPPED(m) PyArray_ISNBO(PyArray_DESCR(m)->byteorder)
-#define PyArray_ISBYTESWAPPED(m) (!PyArray_ISNOTSWAPPED(m))
-
-#define PyArray_FLAGSWAP(m, flags) (PyArray_CHKFLAGS(m, flags) && \
- PyArray_ISNOTSWAPPED(m))
-
-#define PyArray_ISCARRAY(m) PyArray_FLAGSWAP(m, NPY_ARRAY_CARRAY)
-#define PyArray_ISCARRAY_RO(m) PyArray_FLAGSWAP(m, NPY_ARRAY_CARRAY_RO)
-#define PyArray_ISFARRAY(m) PyArray_FLAGSWAP(m, NPY_ARRAY_FARRAY)
-#define PyArray_ISFARRAY_RO(m) PyArray_FLAGSWAP(m, NPY_ARRAY_FARRAY_RO)
-#define PyArray_ISBEHAVED(m) PyArray_FLAGSWAP(m, NPY_ARRAY_BEHAVED)
-#define PyArray_ISBEHAVED_RO(m) PyArray_FLAGSWAP(m, NPY_ARRAY_ALIGNED)
-
-
-#define PyDataType_ISNOTSWAPPED(d) PyArray_ISNBO(((PyArray_Descr
*)(d))->byteorder)
-#define PyDataType_ISBYTESWAPPED(d) (!PyDataType_ISNOTSWAPPED(d))
-
-/************************************************************
- * A struct used by PyArray_CreateSortedStridePerm, new in 1.7.
- ************************************************************/
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