[EDIT] FILE: ufuncobject.h

#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_ */
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