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ndarraytypes.h
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ndarraytypes.h
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#ifndef NDARRAYTYPES_H
#define NDARRAYTYPES_H
#include "npy_common.h"
#include "npy_endian.h"
#include "npy_cpu.h"
#include "utils.h"
#define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
/* 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
#ifndef __has_extension
#define __has_extension(x) 0
#endif
#if !defined(_NPY_NO_DEPRECATIONS) && \
((defined(__GNUC__)&& __GNUC__ >= 6) || \
__has_extension(attribute_deprecated_with_message))
#define NPY_ATTR_DEPRECATE(text) __attribute__ ((deprecated (text)))
#else
#define NPY_ATTR_DEPRECATE(text)
#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 NPY_ATTR_DEPRECATE("Use NPY_STRING"),
NPY_USERDEF=256, /* leave room for characters */
/* The number of types not including the new 1.6 types */
NPY_NTYPES_ABI_COMPATIBLE=21
};
#ifdef _MSC_VER
#pragma deprecated(NPY_CHAR)
#endif
/* 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'
};
/*
* Changing this may break Numpy API compatibility
* due to changing offsets in PyArray_ArrFuncs, so be
* careful. Here we have reused the mergesort slot for
* any kind of stable sort, the actual implementation will
* depend on the data type.
*/
typedef enum {
NPY_QUICKSORT=0,
NPY_HEAPSORT=1,
NPY_MERGESORT=2,
NPY_STABLESORT=2,
} NPY_SORTKIND;
#define NPY_NSORTS (NPY_STABLESORT + 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
} 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)
/* The FR in the unit names stands for frequency */
typedef enum {
/* Force signed enum type, must be -1 for code compatibility */
NPY_FR_ERROR = -1, /* error or undetermined */
/* Start of valid units */
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 /* 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
/* numpy sometimes calls PyArray_malloc() with the GIL released. On Python
3.3 and older, it was safe to call PyMem_Malloc() with the GIL released.
On Python 3.4 and newer, it's better to use PyMem_RawMalloc() to be able
to use tracemalloc. On Python 3.6, calling PyMem_Malloc() with the GIL
released is now a fatal error in debug mode. */
# if PY_VERSION_HEX >= 0x03040000
# define PyArray_malloc PyMem_RawMalloc
# define PyArray_free PyMem_RawFree
# define PyArray_realloc PyMem_RawRealloc
# else
# define PyArray_malloc PyMem_Malloc
# define PyArray_free PyMem_Free
# define PyArray_realloc PyMem_Realloc
# endif
#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. Should return 0 on success
* and -1 on failure.
* 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;
/* 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 {
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 WRITEBACKIFCOPY 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 should be
* decref'd on deletion
*
* For WRITEBACKIFCOPY flag this is an
* array to-be-updated upon calling
* PyArray_ResolveWritebackIfCopy
*/
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 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 appropriate 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 PyArray_ResolveWritebackIfCopy is called.
*
* This flag may be requested in constructor functions.
* This flag may be tested for in PyArray_FLAGS(arr).
*/
#define NPY_ARRAY_UPDATEIFCOPY 0x1000 /* Deprecated in 1.14 */
#define NPY_ARRAY_WRITEBACKIFCOPY 0x2000
/*
* 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_INOUT_ARRAY2 (NPY_ARRAY_CARRAY | \
NPY_ARRAY_WRITEBACKIFCOPY)
#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_INOUT_FARRAY2 (NPY_ARRAY_FARRAY | \
NPY_ARRAY_WRITEBACKIFCOPY)
#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)
/* 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 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_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
#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