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#ifndef NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_
#include <numpy/npy_math.h>
#include <numpy/npy_common.h>
#ifdef __cplusplus
extern "C" {
#endif
/*
* The legacy generic inner loop for a standard element-wise or
* generalized ufunc.
*/
typedef void (*PyUFuncGenericFunction)
(char **args,
npy_intp const *dimensions,
npy_intp const *strides,
void *innerloopdata);
/*
* The most generic one-dimensional inner loop for
* a masked standard element-wise ufunc. "Masked" here means that it skips
* doing calculations on any items for which the maskptr array has a true
* value.
*/
typedef void (PyUFunc_MaskedStridedInnerLoopFunc)(
char **dataptrs, npy_intp *strides,
char *maskptr, npy_intp mask_stride,
npy_intp count,
NpyAuxData *innerloopdata);
/* Forward declaration for the type resolver and loop selector typedefs */
struct _tagPyUFuncObject;
/*
* Given the operands for calling a ufunc, should determine the
* calculation input and output data types and return an inner loop function.
* This function should validate that the casting rule is being followed,
* and fail if it is not.
*
* For backwards compatibility, the regular type resolution function does not
* support auxiliary data with object semantics. The type resolution call
* which returns a masked generic function returns a standard NpyAuxData
* object, for which the NPY_AUXDATA_FREE and NPY_AUXDATA_CLONE macros
* work.
*
* ufunc: The ufunc object.
* casting: The 'casting' parameter provided to the ufunc.
* operands: An array of length (ufunc->nin + ufunc->nout),
* with the output parameters possibly NULL.
* type_tup: Either NULL, or the type_tup passed to the ufunc.
* out_dtypes: An array which should be populated with new
* references to (ufunc->nin + ufunc->nout) new
* dtypes, one for each input and output. These
* dtypes should all be in native-endian format.
*
* Should return 0 on success, -1 on failure (with exception set),
* or -2 if Py_NotImplemented should be returned.
*/
typedef int (PyUFunc_TypeResolutionFunc)(
struct _tagPyUFuncObject *ufunc,
NPY_CASTING casting,
PyArrayObject **operands,
PyObject *type_tup,
PyArray_Descr **out_dtypes);
/*
* Legacy loop selector. (This should NOT normally be used and we can expect
* that only the `PyUFunc_DefaultLegacyInnerLoopSelector` is ever set).
* However, unlike the masked version, it probably still works.
*
* ufunc: The ufunc object.
* dtypes: An array which has been populated with dtypes,
* in most cases by the type resolution function
* for the same ufunc.
* out_innerloop: Should be populated with the correct ufunc inner
* loop for the given type.
* out_innerloopdata: Should be populated with the void* data to
* be passed into the out_innerloop function.
* out_needs_api: If the inner loop needs to use the Python API,
* should set the to 1, otherwise should leave
* this untouched.
*/
typedef int (PyUFunc_LegacyInnerLoopSelectionFunc)(
struct _tagPyUFuncObject *ufunc,
PyArray_Descr **dtypes,
PyUFuncGenericFunction *out_innerloop,
void **out_innerloopdata,
int *out_needs_api);
typedef struct _tagPyUFuncObject {
PyObject_HEAD
/*
* nin: Number of inputs
* nout: Number of outputs
* nargs: Always nin + nout (Why is it stored?)
*/
int nin, nout, nargs;
/*
* Identity for reduction, any of PyUFunc_One, PyUFunc_Zero
* PyUFunc_MinusOne, PyUFunc_None, PyUFunc_ReorderableNone,
* PyUFunc_IdentityValue.
*/
int identity;
/* Array of one-dimensional core loops */
PyUFuncGenericFunction *functions;
/* Array of funcdata that gets passed into the functions */
void **data;
/* The number of elements in 'functions' and 'data' */
int ntypes;
/* Used to be unused field 'check_return' */
int reserved1;
/* The name of the ufunc */
const char *name;
/* Array of type numbers, of size ('nargs' * 'ntypes') */
char *types;
/* Documentation string */
const char *doc;
void *ptr;
PyObject *obj;
PyObject *userloops;
/* generalized ufunc parameters */
/* 0 for scalar ufunc; 1 for generalized ufunc */
int core_enabled;
/* number of distinct dimension names in signature */
int core_num_dim_ix;
/*
* dimension indices of input/output argument k are stored in
* core_dim_ixs[core_offsets[k]..core_offsets[k]+core_num_dims[k]-1]
*/
/* numbers of core dimensions of each argument */
int *core_num_dims;
/*
* dimension indices in a flatted form; indices
* are in the range of [0,core_num_dim_ix)
*/
int *core_dim_ixs;
/*
* positions of 1st core dimensions of each
* argument in core_dim_ixs, equivalent to cumsum(core_num_dims)
*/
int *core_offsets;
/* signature string for printing purpose */
char *core_signature;
/*
* A function which resolves the types and fills an array
* with the dtypes for the inputs and outputs.
*/
PyUFunc_TypeResolutionFunc *type_resolver;
/*
* A function which returns an inner loop written for
* NumPy 1.6 and earlier ufuncs. This is for backwards
* compatibility, and may be NULL if inner_loop_selector
* is specified.
*/
PyUFunc_LegacyInnerLoopSelectionFunc *legacy_inner_loop_selector;
/*
* This was blocked off to be the "new" inner loop selector in 1.7,
* but this was never implemented. (This is also why the above
* selector is called the "legacy" selector.)
*/
#ifndef Py_LIMITED_API
vectorcallfunc vectorcall;
#else
void *vectorcall;
#endif
/* Was previously the `PyUFunc_MaskedInnerLoopSelectionFunc` */
void *_always_null_previously_masked_innerloop_selector;
/*
* List of flags for each operand when ufunc is called by nditer object.
* These flags will be used in addition to the default flags for each
* operand set by nditer object.
*/
npy_uint32 *op_flags;
/*
* List of global flags used when ufunc is called by nditer object.
* These flags will be used in addition to the default global flags
* set by nditer object.
*/
npy_uint32 iter_flags;
/* New in NPY_API_VERSION 0x0000000D and above */
#if NPY_FEATURE_VERSION >= NPY_1_16_API_VERSION
/*
* for each core_num_dim_ix distinct dimension names,
* the possible "frozen" size (-1 if not frozen).
*/
npy_intp *core_dim_sizes;
/*
* for each distinct core dimension, a set of UFUNC_CORE_DIM* flags
*/
npy_uint32 *core_dim_flags;
/* Identity for reduction, when identity == PyUFunc_IdentityValue */
PyObject *identity_value;
#endif /* NPY_FEATURE_VERSION >= NPY_1_16_API_VERSION */
/* New in NPY_API_VERSION 0x0000000F and above */
#if NPY_FEATURE_VERSION >= NPY_1_22_API_VERSION
/* New private fields related to dispatching */
void *_dispatch_cache;
/* A PyListObject of `(tuple of DTypes, ArrayMethod/Promoter)` */
PyObject *_loops;
#endif
} PyUFuncObject;
#include "arrayobject.h"
/* Generalized ufunc; 0x0001 reserved for possible use as CORE_ENABLED */
/* the core dimension's size will be determined by the operands. */
#define UFUNC_CORE_DIM_SIZE_INFERRED 0x0002
/* the core dimension may be absent */
#define UFUNC_CORE_DIM_CAN_IGNORE 0x0004
/* flags inferred during execution */
#define UFUNC_CORE_DIM_MISSING 0x00040000
#define UFUNC_ERR_IGNORE 0
#define UFUNC_ERR_WARN 1
#define UFUNC_ERR_RAISE 2
#define UFUNC_ERR_CALL 3
#define UFUNC_ERR_PRINT 4
#define UFUNC_ERR_LOG 5
/* Python side integer mask */
#define UFUNC_MASK_DIVIDEBYZERO 0x07
#define UFUNC_MASK_OVERFLOW 0x3f
#define UFUNC_MASK_UNDERFLOW 0x1ff
#define UFUNC_MASK_INVALID 0xfff
#define UFUNC_SHIFT_DIVIDEBYZERO 0
#define UFUNC_SHIFT_OVERFLOW 3
#define UFUNC_SHIFT_UNDERFLOW 6
#define UFUNC_SHIFT_INVALID 9
#define UFUNC_OBJ_ISOBJECT 1
#define UFUNC_OBJ_NEEDS_API 2
/* Default user error mode */
#define UFUNC_ERR_DEFAULT \
(UFUNC_ERR_WARN << UFUNC_SHIFT_DIVIDEBYZERO) + \
(UFUNC_ERR_WARN << UFUNC_SHIFT_OVERFLOW) + \
(UFUNC_ERR_WARN << UFUNC_SHIFT_INVALID)
#if NPY_ALLOW_THREADS
#define NPY_LOOP_BEGIN_THREADS do {if (!(loop->obj & UFUNC_OBJ_NEEDS_API)) _save = PyEval_SaveThread();} while (0);
#define NPY_LOOP_END_THREADS do {if (!(loop->obj & UFUNC_OBJ_NEEDS_API)) PyEval_RestoreThread(_save);} while (0);
#else
#define NPY_LOOP_BEGIN_THREADS
#define NPY_LOOP_END_THREADS
#endif
/*
* UFunc has unit of 0, and the order of operations can be reordered
* This case allows reduction with multiple axes at once.
*/
#define PyUFunc_Zero 0
/*
* UFunc has unit of 1, and the order of operations can be reordered
* This case allows reduction with multiple axes at once.
*/
#define PyUFunc_One 1
/*
* UFunc has unit of -1, and the order of operations can be reordered
* This case allows reduction with multiple axes at once. Intended for
* bitwise_and reduction.
*/
#define PyUFunc_MinusOne 2
/*
* UFunc has no unit, and the order of operations cannot be reordered.
* This case does not allow reduction with multiple axes at once.
*/
#define PyUFunc_None -1
/*
* UFunc has no unit, and the order of operations can be reordered
* This case allows reduction with multiple axes at once.
*/
#define PyUFunc_ReorderableNone -2
/*
* UFunc unit is an identity_value, and the order of operations can be reordered
* This case allows reduction with multiple axes at once.
*/
#define PyUFunc_IdentityValue -3
#define UFUNC_REDUCE 0
#define UFUNC_ACCUMULATE 1
#define UFUNC_REDUCEAT 2
#define UFUNC_OUTER 3
typedef struct {
int nin;
int nout;
PyObject *callable;
} PyUFunc_PyFuncData;
/* A linked-list of function information for
user-defined 1-d loops.
*/
typedef struct _loop1d_info {
PyUFuncGenericFunction func;
void *data;
int *arg_types;
struct _loop1d_info *next;
int nargs;
PyArray_Descr **arg_dtypes;
} PyUFunc_Loop1d;
#include "__ufunc_api.h"
#define UFUNC_PYVALS_NAME "UFUNC_PYVALS"
/*
* THESE MACROS ARE DEPRECATED.
* Use npy_set_floatstatus_* in the npymath library.
*/
#define UFUNC_FPE_DIVIDEBYZERO NPY_FPE_DIVIDEBYZERO
#define UFUNC_FPE_OVERFLOW NPY_FPE_OVERFLOW
#define UFUNC_FPE_UNDERFLOW NPY_FPE_UNDERFLOW
#define UFUNC_FPE_INVALID NPY_FPE_INVALID
#define generate_divbyzero_error() npy_set_floatstatus_divbyzero()
#define generate_overflow_error() npy_set_floatstatus_overflow()
/* Make sure it gets defined if it isn't already */
#ifndef UFUNC_NOFPE
/* Clear the floating point exception default of Borland C++ */
#if defined(__BORLANDC__)
#define UFUNC_NOFPE _control87(MCW_EM, MCW_EM);
#else
#define UFUNC_NOFPE
#endif
#endif
#ifdef __cplusplus
}
#endif
#endif /* NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_ */