/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h is in python-numpy 1:1.12.1-3.
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1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 | #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
/*
* 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
} 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
/* 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.
* 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 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 should 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 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 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)
/* 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
#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_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. The
* fields are slightly unordered to keep consec, dataptr and subspace
* where they were originally.
*/
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 */
NpyIter *outer; /* index objects
iterator */
void *unused[NPY_MAXDIMS - 2];
PyArrayObject *array;
/* Flat iterator for the indexed array. For compatibility solely. */
PyArrayIterObject *ait;
/*
* Subspace array. For binary compatibility (was an iterator,
* but only the check for NULL should be used).
*/
PyArrayObject *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.
*/
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 {
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 NPY_RETURNS_BORROWED_REF PyObject *
PyArray_BASE(PyArrayObject *arr)
{
return ((PyArrayObject_fields *)arr)->base;
}
static NPY_INLINE NPY_RETURNS_BORROWED_REF 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.
************************************************************/
typedef struct {
npy_intp perm, stride;
} npy_stride_sort_item;
/************************************************************
* This is the form of the struct that's returned pointed by the
* PyCObject attribute of an array __array_struct__. See
* http://docs.scipy.org/doc/numpy/reference/arrays.interface.html for the full
* documentation.
************************************************************/
typedef struct {
int two; /*
* contains the integer 2 as a sanity
* check
*/
int nd; /* number of dimensions */
char typekind; /*
* kind in array --- character code of
* typestr
*/
int itemsize; /* size of each element */
int flags; /*
* how should be data interpreted. Valid
* flags are CONTIGUOUS (1), F_CONTIGUOUS (2),
* ALIGNED (0x100), NOTSWAPPED (0x200), and
* WRITEABLE (0x400). ARR_HAS_DESCR (0x800)
* states that arrdescr field is present in
* structure
*/
npy_intp *shape; /*
* A length-nd array of shape
* information
*/
npy_intp *strides; /* A length-nd array of stride information */
void *data; /* A pointer to the first element of the array */
PyObject *descr; /*
* A list of fields or NULL (ignored if flags
* does not have ARR_HAS_DESCR flag set)
*/
} PyArrayInterface;
/*
* This is a function for hooking into the PyDataMem_NEW/FREE/RENEW functions.
* See the documentation for PyDataMem_SetEventHook.
*/
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."
#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 */
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