0x1998 - MANAGER

Düzenlenen Dosya: __init__.cython-30.pxd

# NumPy static imports for Cython >= 3.0 # # If any of the PyArray_* functions are called, import_array must be # called first. This is done automatically by Cython 3.0+ if a call # is not detected inside of the module. # # Author: Dag Sverre Seljebotn # from cpython.ref cimport Py_INCREF from cpython.object cimport PyObject, PyTypeObject, PyObject_TypeCheck cimport libc.stdio as stdio cdef extern from *: # Leave a marker that the NumPy declarations came from NumPy itself and not from Cython. # See https://github.com/cython/cython/issues/3573 """ /* Using NumPy API declarations from "numpy/__init__.cython-30.pxd" */ """ cdef extern from "Python.h": ctypedef Py_ssize_t Py_intptr_t cdef extern from "numpy/arrayobject.h": ctypedef Py_intptr_t npy_intp ctypedef size_t npy_uintp cdef enum NPY_TYPES: NPY_BOOL 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 NPY_STRING NPY_UNICODE NPY_VOID NPY_DATETIME NPY_TIMEDELTA NPY_NTYPES NPY_NOTYPE NPY_INT8 NPY_INT16 NPY_INT32 NPY_INT64 NPY_INT128 NPY_INT256 NPY_UINT8 NPY_UINT16 NPY_UINT32 NPY_UINT64 NPY_UINT128 NPY_UINT256 NPY_FLOAT16 NPY_FLOAT32 NPY_FLOAT64 NPY_FLOAT80 NPY_FLOAT96 NPY_FLOAT128 NPY_FLOAT256 NPY_COMPLEX32 NPY_COMPLEX64 NPY_COMPLEX128 NPY_COMPLEX160 NPY_COMPLEX192 NPY_COMPLEX256 NPY_COMPLEX512 NPY_INTP ctypedef enum NPY_ORDER: NPY_ANYORDER NPY_CORDER NPY_FORTRANORDER NPY_KEEPORDER ctypedef enum NPY_CASTING: NPY_NO_CASTING NPY_EQUIV_CASTING NPY_SAFE_CASTING NPY_SAME_KIND_CASTING NPY_UNSAFE_CASTING ctypedef enum NPY_CLIPMODE: NPY_CLIP NPY_WRAP NPY_RAISE ctypedef enum NPY_SCALARKIND: NPY_NOSCALAR, NPY_BOOL_SCALAR, NPY_INTPOS_SCALAR, NPY_INTNEG_SCALAR, NPY_FLOAT_SCALAR, NPY_COMPLEX_SCALAR, NPY_OBJECT_SCALAR ctypedef enum NPY_SORTKIND: NPY_QUICKSORT NPY_HEAPSORT NPY_MERGESORT ctypedef enum NPY_SEARCHSIDE: NPY_SEARCHLEFT NPY_SEARCHRIGHT enum: # DEPRECATED since NumPy 1.7 ! Do not use in new code! NPY_C_CONTIGUOUS NPY_F_CONTIGUOUS NPY_CONTIGUOUS NPY_FORTRAN NPY_OWNDATA NPY_FORCECAST NPY_ENSURECOPY NPY_ENSUREARRAY NPY_ELEMENTSTRIDES NPY_ALIGNED NPY_NOTSWAPPED NPY_WRITEABLE NPY_ARR_HAS_DESCR NPY_BEHAVED NPY_BEHAVED_NS NPY_CARRAY NPY_CARRAY_RO NPY_FARRAY NPY_FARRAY_RO NPY_DEFAULT NPY_IN_ARRAY NPY_OUT_ARRAY NPY_INOUT_ARRAY NPY_IN_FARRAY NPY_OUT_FARRAY NPY_INOUT_FARRAY NPY_UPDATE_ALL enum: # Added in NumPy 1.7 to replace the deprecated enums above. NPY_ARRAY_C_CONTIGUOUS NPY_ARRAY_F_CONTIGUOUS NPY_ARRAY_OWNDATA NPY_ARRAY_FORCECAST NPY_ARRAY_ENSURECOPY NPY_ARRAY_ENSUREARRAY NPY_ARRAY_ELEMENTSTRIDES NPY_ARRAY_ALIGNED NPY_ARRAY_NOTSWAPPED NPY_ARRAY_WRITEABLE NPY_ARRAY_WRITEBACKIFCOPY NPY_ARRAY_BEHAVED NPY_ARRAY_BEHAVED_NS NPY_ARRAY_CARRAY NPY_ARRAY_CARRAY_RO NPY_ARRAY_FARRAY NPY_ARRAY_FARRAY_RO NPY_ARRAY_DEFAULT NPY_ARRAY_IN_ARRAY NPY_ARRAY_OUT_ARRAY NPY_ARRAY_INOUT_ARRAY NPY_ARRAY_IN_FARRAY NPY_ARRAY_OUT_FARRAY NPY_ARRAY_INOUT_FARRAY NPY_ARRAY_UPDATE_ALL cdef enum: NPY_MAXDIMS npy_intp NPY_MAX_ELSIZE ctypedef void (*PyArray_VectorUnaryFunc)(void *, void *, npy_intp, void *, void *) ctypedef struct PyArray_ArrayDescr: # shape is a tuple, but Cython doesn't support "tuple shape" # inside a non-PyObject declaration, so we have to declare it # as just a PyObject*. PyObject* shape ctypedef struct PyArray_Descr: pass ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]: # Use PyDataType_* macros when possible, however there are no macros # for accessing some of the fields, so some are defined. cdef PyTypeObject* typeobj cdef char kind cdef char type # Numpy sometimes mutates this without warning (e.g. it'll # sometimes change "|" to "<" in shared dtype objects on # little-endian machines). If this matters to you, use # PyArray_IsNativeByteOrder(dtype.byteorder) instead of # directly accessing this field. cdef char byteorder cdef char flags cdef int type_num cdef int itemsize "elsize" cdef int alignment cdef object fields cdef tuple names # Use PyDataType_HASSUBARRAY to test whether this field is # valid (the pointer can be NULL). Most users should access # this field via the inline helper method PyDataType_SHAPE. cdef PyArray_ArrayDescr* subarray ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]: # Use through macros pass ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]: # Use through macros pass ctypedef struct PyArrayObject: # For use in situations where ndarray can't replace PyArrayObject*, # like PyArrayObject**. pass ctypedef class numpy.ndarray [object PyArrayObject, check_size ignore]: cdef __cythonbufferdefaults__ = {"mode": "strided"} # NOTE: no field declarations since direct access is deprecated since NumPy 1.7 # Instead, we use properties that map to the corresponding C-API functions. @property cdef inline PyObject* base(self) nogil: """Returns a borrowed reference to the object owning the data/memory. """ return PyArray_BASE(self) @property cdef inline dtype descr(self): """Returns an owned reference to the dtype of the array. """ return <dtype>PyArray_DESCR(self) @property cdef inline int ndim(self) nogil: """Returns the number of dimensions in the array. """ return PyArray_NDIM(self) @property cdef inline npy_intp *shape(self) nogil: """Returns a pointer to the dimensions/shape of the array. The number of elements matches the number of dimensions of the array (ndim). Can return NULL for 0-dimensional arrays. """ return PyArray_DIMS(self) @property cdef inline npy_intp *strides(self) nogil: """Returns a pointer to the strides of the array. The number of elements matches the number of dimensions of the array (ndim). """ return PyArray_STRIDES(self) @property cdef inline npy_intp size(self) nogil: """Returns the total size (in number of elements) of the array. """ return PyArray_SIZE(self) @property cdef inline char* data(self) nogil: """The pointer to the data buffer as a char*. This is provided for legacy reasons to avoid direct struct field access. For new code that needs this access, you probably want to cast the result of `PyArray_DATA()` instead, which returns a 'void*'. """ return PyArray_BYTES(self) ctypedef unsigned char npy_bool ctypedef signed char npy_byte ctypedef signed short npy_short ctypedef signed int npy_int ctypedef signed long npy_long ctypedef signed long long npy_longlong ctypedef unsigned char npy_ubyte ctypedef unsigned short npy_ushort ctypedef unsigned int npy_uint ctypedef unsigned long npy_ulong ctypedef unsigned long long npy_ulonglong ctypedef float npy_float ctypedef double npy_double ctypedef long double npy_longdouble ctypedef signed char npy_int8 ctypedef signed short npy_int16 ctypedef signed int npy_int32 ctypedef signed long long npy_int64 ctypedef signed long long npy_int96 ctypedef signed long long npy_int128 ctypedef unsigned char npy_uint8 ctypedef unsigned short npy_uint16 ctypedef unsigned int npy_uint32 ctypedef unsigned long long npy_uint64 ctypedef unsigned long long npy_uint96 ctypedef unsigned long long npy_uint128 ctypedef float npy_float32 ctypedef double npy_float64 ctypedef long double npy_float80 ctypedef long double npy_float96 ctypedef long double npy_float128 ctypedef struct npy_cfloat: float real float imag ctypedef struct npy_cdouble: double real double imag ctypedef struct npy_clongdouble: long double real long double imag ctypedef struct npy_complex64: float real float imag ctypedef struct npy_complex128: double real double imag ctypedef struct npy_complex160: long double real long double imag ctypedef struct npy_complex192: long double real long double imag ctypedef struct npy_complex256: long double real long double imag ctypedef struct PyArray_Dims: npy_intp *ptr int len int _import_array() except -1 # A second definition so _import_array isn't marked as used when we use it here. # Do not use - subject to change any time. int __pyx_import_array "_import_array"() except -1 # # Macros from ndarrayobject.h # bint PyArray_CHKFLAGS(ndarray m, int flags) nogil bint PyArray_IS_C_CONTIGUOUS(ndarray arr) nogil bint PyArray_IS_F_CONTIGUOUS(ndarray arr) nogil bint PyArray_ISCONTIGUOUS(ndarray m) nogil bint PyArray_ISWRITEABLE(ndarray m) nogil bint PyArray_ISALIGNED(ndarray m) nogil int PyArray_NDIM(ndarray) nogil bint PyArray_ISONESEGMENT(ndarray) nogil bint PyArray_ISFORTRAN(ndarray) nogil int PyArray_FORTRANIF(ndarray) nogil void* PyArray_DATA(ndarray) nogil char* PyArray_BYTES(ndarray) nogil npy_intp* PyArray_DIMS(ndarray) nogil npy_intp* PyArray_STRIDES(ndarray) nogil npy_intp PyArray_DIM(ndarray, size_t) nogil npy_intp PyArray_STRIDE(ndarray, size_t) nogil PyObject *PyArray_BASE(ndarray) nogil # returns borrowed reference! PyArray_Descr *PyArray_DESCR(ndarray) nogil # returns borrowed reference to dtype! PyArray_Descr *PyArray_DTYPE(ndarray) nogil # returns borrowed reference to dtype! NP 1.7+ alias for descr. int PyArray_FLAGS(ndarray) nogil void PyArray_CLEARFLAGS(ndarray, int flags) nogil # Added in NumPy 1.7 void PyArray_ENABLEFLAGS(ndarray, int flags) nogil # Added in NumPy 1.7 npy_intp PyArray_ITEMSIZE(ndarray) nogil int PyArray_TYPE(ndarray arr) nogil object PyArray_GETITEM(ndarray arr, void *itemptr) int PyArray_SETITEM(ndarray arr, void *itemptr, object obj) except -1 bint PyTypeNum_ISBOOL(int) nogil bint PyTypeNum_ISUNSIGNED(int) nogil bint PyTypeNum_ISSIGNED(int) nogil bint PyTypeNum_ISINTEGER(int) nogil bint PyTypeNum_ISFLOAT(int) nogil bint PyTypeNum_ISNUMBER(int) nogil bint PyTypeNum_ISSTRING(int) nogil bint PyTypeNum_ISCOMPLEX(int) nogil bint PyTypeNum_ISPYTHON(int) nogil bint PyTypeNum_ISFLEXIBLE(int) nogil bint PyTypeNum_ISUSERDEF(int) nogil bint PyTypeNum_ISEXTENDED(int) nogil bint PyTypeNum_ISOBJECT(int) nogil bint PyDataType_ISBOOL(dtype) nogil bint PyDataType_ISUNSIGNED(dtype) nogil bint PyDataType_ISSIGNED(dtype) nogil bint PyDataType_ISINTEGER(dtype) nogil bint PyDataType_ISFLOAT(dtype) nogil bint PyDataType_ISNUMBER(dtype) nogil bint PyDataType_ISSTRING(dtype) nogil bint PyDataType_ISCOMPLEX(dtype) nogil bint PyDataType_ISPYTHON(dtype) nogil bint PyDataType_ISFLEXIBLE(dtype) nogil bint PyDataType_ISUSERDEF(dtype) nogil bint PyDataType_ISEXTENDED(dtype) nogil bint PyDataType_ISOBJECT(dtype) nogil bint PyDataType_HASFIELDS(dtype) nogil bint PyDataType_HASSUBARRAY(dtype) nogil bint PyArray_ISBOOL(ndarray) nogil bint PyArray_ISUNSIGNED(ndarray) nogil bint PyArray_ISSIGNED(ndarray) nogil bint PyArray_ISINTEGER(ndarray) nogil bint PyArray_ISFLOAT(ndarray) nogil bint PyArray_ISNUMBER(ndarray) nogil bint PyArray_ISSTRING(ndarray) nogil bint PyArray_ISCOMPLEX(ndarray) nogil bint PyArray_ISPYTHON(ndarray) nogil bint PyArray_ISFLEXIBLE(ndarray) nogil bint PyArray_ISUSERDEF(ndarray) nogil bint PyArray_ISEXTENDED(ndarray) nogil bint PyArray_ISOBJECT(ndarray) nogil bint PyArray_HASFIELDS(ndarray) nogil bint PyArray_ISVARIABLE(ndarray) nogil bint PyArray_SAFEALIGNEDCOPY(ndarray) nogil bint PyArray_ISNBO(char) nogil # works on ndarray.byteorder bint PyArray_IsNativeByteOrder(char) nogil # works on ndarray.byteorder bint PyArray_ISNOTSWAPPED(ndarray) nogil bint PyArray_ISBYTESWAPPED(ndarray) nogil bint PyArray_FLAGSWAP(ndarray, int) nogil bint PyArray_ISCARRAY(ndarray) nogil bint PyArray_ISCARRAY_RO(ndarray) nogil bint PyArray_ISFARRAY(ndarray) nogil bint PyArray_ISFARRAY_RO(ndarray) nogil bint PyArray_ISBEHAVED(ndarray) nogil bint PyArray_ISBEHAVED_RO(ndarray) nogil bint PyDataType_ISNOTSWAPPED(dtype) nogil bint PyDataType_ISBYTESWAPPED(dtype) nogil bint PyArray_DescrCheck(object) bint PyArray_Check(object) bint PyArray_CheckExact(object) # Cannot be supported due to out arg: # bint PyArray_HasArrayInterfaceType(object, dtype, object, object&) # bint PyArray_HasArrayInterface(op, out) bint PyArray_IsZeroDim(object) # Cannot be supported due to ## ## in macro: # bint PyArray_IsScalar(object, verbatim work) bint PyArray_CheckScalar(object) bint PyArray_IsPythonNumber(object) bint PyArray_IsPythonScalar(object) bint PyArray_IsAnyScalar(object) bint PyArray_CheckAnyScalar(object) ndarray PyArray_GETCONTIGUOUS(ndarray) bint PyArray_SAMESHAPE(ndarray, ndarray) nogil npy_intp PyArray_SIZE(ndarray) nogil npy_intp PyArray_NBYTES(ndarray) nogil object PyArray_FROM_O(object) object PyArray_FROM_OF(object m, int flags) object PyArray_FROM_OT(object m, int type) object PyArray_FROM_OTF(object m, int type, int flags) object PyArray_FROMANY(object m, int type, int min, int max, int flags) object PyArray_ZEROS(int nd, npy_intp* dims, int type, int fortran) object PyArray_EMPTY(int nd, npy_intp* dims, int type, int fortran) void PyArray_FILLWBYTE(object, int val) npy_intp PyArray_REFCOUNT(object) object PyArray_ContiguousFromAny(op, int, int min_depth, int max_depth) unsigned char PyArray_EquivArrTypes(ndarray a1, ndarray a2) bint PyArray_EquivByteorders(int b1, int b2) nogil object PyArray_SimpleNew(int nd, npy_intp* dims, int typenum) object PyArray_SimpleNewFromData(int nd, npy_intp* dims, int typenum, void* data) #object PyArray_SimpleNewFromDescr(int nd, npy_intp* dims, dtype descr) object PyArray_ToScalar(void* data, ndarray arr) void* PyArray_GETPTR1(ndarray m, npy_intp i) nogil void* PyArray_GETPTR2(ndarray m, npy_intp i, npy_intp j) nogil void* PyArray_GETPTR3(ndarray m, npy_intp i, npy_intp j, npy_intp k) nogil void* PyArray_GETPTR4(ndarray m, npy_intp i, npy_intp j, npy_intp k, npy_intp l) nogil # Cannot be supported due to out arg # void PyArray_DESCR_REPLACE(descr) object PyArray_Copy(ndarray) object PyArray_FromObject(object op, int type, int min_depth, int max_depth) object PyArray_ContiguousFromObject(object op, int type, int min_depth, int max_depth) object PyArray_CopyFromObject(object op, int type, int min_depth, int max_depth) object PyArray_Cast(ndarray mp, int type_num) object PyArray_Take(ndarray ap, object items, int axis) object PyArray_Put(ndarray ap, object items, object values) void PyArray_ITER_RESET(flatiter it) nogil void PyArray_ITER_NEXT(flatiter it) nogil void PyArray_ITER_GOTO(flatiter it, npy_intp* destination) nogil void PyArray_ITER_GOTO1D(flatiter it, npy_intp ind) nogil void* PyArray_ITER_DATA(flatiter it) nogil bint PyArray_ITER_NOTDONE(flatiter it) nogil void PyArray_MultiIter_RESET(broadcast multi) nogil void PyArray_MultiIter_NEXT(broadcast multi) nogil void PyArray_MultiIter_GOTO(broadcast multi, npy_intp dest) nogil void PyArray_MultiIter_GOTO1D(broadcast multi, npy_intp ind) nogil void* PyArray_MultiIter_DATA(broadcast multi, npy_intp i) nogil void PyArray_MultiIter_NEXTi(broadcast multi, npy_intp i) nogil bint PyArray_MultiIter_NOTDONE(broadcast multi) nogil # Functions from __multiarray_api.h # Functions taking dtype and returning object/ndarray are disabled # for now as they steal dtype references. I'm conservative and disable # more than is probably needed until it can be checked further. int PyArray_SetNumericOps (object) except -1 object PyArray_GetNumericOps () int PyArray_INCREF (ndarray) except * # uses PyArray_Item_INCREF... int PyArray_XDECREF (ndarray) except * # uses PyArray_Item_DECREF... void PyArray_SetStringFunction (object, int) dtype PyArray_DescrFromType (int) object PyArray_TypeObjectFromType (int) char * PyArray_Zero (ndarray) char * PyArray_One (ndarray) #object PyArray_CastToType (ndarray, dtype, int) int PyArray_CastTo (ndarray, ndarray) except -1 int PyArray_CastAnyTo (ndarray, ndarray) except -1 int PyArray_CanCastSafely (int, int) # writes errors npy_bool PyArray_CanCastTo (dtype, dtype) # writes errors int PyArray_ObjectType (object, int) except 0 dtype PyArray_DescrFromObject (object, dtype) #ndarray* PyArray_ConvertToCommonType (object, int *) dtype PyArray_DescrFromScalar (object) dtype PyArray_DescrFromTypeObject (object) npy_intp PyArray_Size (object) #object PyArray_Scalar (void *, dtype, object) #object PyArray_FromScalar (object, dtype) void PyArray_ScalarAsCtype (object, void *) #int PyArray_CastScalarToCtype (object, void *, dtype) #int PyArray_CastScalarDirect (object, dtype, void *, int) object PyArray_ScalarFromObject (object) #PyArray_VectorUnaryFunc * PyArray_GetCastFunc (dtype, int) object PyArray_FromDims (int, int *, int) #object PyArray_FromDimsAndDataAndDescr (int, int *, dtype, char *) #object PyArray_FromAny (object, dtype, int, int, int, object) object PyArray_EnsureArray (object) object PyArray_EnsureAnyArray (object) #object PyArray_FromFile (stdio.FILE *, dtype, npy_intp, char *) #object PyArray_FromString (char *, npy_intp, dtype, npy_intp, char *) #object PyArray_FromBuffer (object, dtype, npy_intp, npy_intp) #object PyArray_FromIter (object, dtype, npy_intp) object PyArray_Return (ndarray) #object PyArray_GetField (ndarray, dtype, int) #int PyArray_SetField (ndarray, dtype, int, object) except -1 object PyArray_Byteswap (ndarray, npy_bool) object PyArray_Resize (ndarray, PyArray_Dims *, int, NPY_ORDER) int PyArray_MoveInto (ndarray, ndarray) except -1 int PyArray_CopyInto (ndarray, ndarray) except -1 int PyArray_CopyAnyInto (ndarray, ndarray) except -1 int PyArray_CopyObject (ndarray, object) except -1 object PyArray_NewCopy (ndarray, NPY_ORDER) object PyArray_ToList (ndarray) object PyArray_ToString (ndarray, NPY_ORDER) int PyArray_ToFile (ndarray, stdio.FILE *, char *, char *) except -1 int PyArray_Dump (object, object, int) except -1 object PyArray_Dumps (object, int) int PyArray_ValidType (int) # Cannot error void PyArray_UpdateFlags (ndarray, int) object PyArray_New (type, int, npy_intp *, int, npy_intp *, void *, int, int, object) #object PyArray_NewFromDescr (type, dtype, int, npy_intp *, npy_intp *, void *, int, object) #dtype PyArray_DescrNew (dtype) dtype PyArray_DescrNewFromType (int) double PyArray_GetPriority (object, double) # clears errors as of 1.25 object PyArray_IterNew (object) object PyArray_MultiIterNew (int, ...) int PyArray_PyIntAsInt (object) except? -1 npy_intp PyArray_PyIntAsIntp (object) int PyArray_Broadcast (broadcast) except -1 void PyArray_FillObjectArray (ndarray, object) except * int PyArray_FillWithScalar (ndarray, object) except -1 npy_bool PyArray_CheckStrides (int, int, npy_intp, npy_intp, npy_intp *, npy_intp *) dtype PyArray_DescrNewByteorder (dtype, char) object PyArray_IterAllButAxis (object, int *) #object PyArray_CheckFromAny (object, dtype, int, int, int, object) #object PyArray_FromArray (ndarray, dtype, int) object PyArray_FromInterface (object) object PyArray_FromStructInterface (object) #object PyArray_FromArrayAttr (object, dtype, object) #NPY_SCALARKIND PyArray_ScalarKind (int, ndarray*) int PyArray_CanCoerceScalar (int, int, NPY_SCALARKIND) object PyArray_NewFlagsObject (object) npy_bool PyArray_CanCastScalar (type, type) #int PyArray_CompareUCS4 (npy_ucs4 *, npy_ucs4 *, register size_t) int PyArray_RemoveSmallest (broadcast) except -1 int PyArray_ElementStrides (object) void PyArray_Item_INCREF (char *, dtype) except * void PyArray_Item_XDECREF (char *, dtype) except * object PyArray_FieldNames (object) object PyArray_Transpose (ndarray, PyArray_Dims *) object PyArray_TakeFrom (ndarray, object, int, ndarray, NPY_CLIPMODE) object PyArray_PutTo (ndarray, object, object, NPY_CLIPMODE) object PyArray_PutMask (ndarray, object, object) object PyArray_Repeat (ndarray, object, int) object PyArray_Choose (ndarray, object, ndarray, NPY_CLIPMODE) int PyArray_Sort (ndarray, int, NPY_SORTKIND) except -1 object PyArray_ArgSort (ndarray, int, NPY_SORTKIND) object PyArray_SearchSorted (ndarray, object, NPY_SEARCHSIDE, PyObject *) object PyArray_ArgMax (ndarray, int, ndarray) object PyArray_ArgMin (ndarray, int, ndarray) object PyArray_Reshape (ndarray, object) object PyArray_Newshape (ndarray, PyArray_Dims *, NPY_ORDER) object PyArray_Squeeze (ndarray) #object PyArray_View (ndarray, dtype, type) object PyArray_SwapAxes (ndarray, int, int) object PyArray_Max (ndarray, int, ndarray) object PyArray_Min (ndarray, int, ndarray) object PyArray_Ptp (ndarray, int, ndarray) object PyArray_Mean (ndarray, int, int, ndarray) object PyArray_Trace (ndarray, int, int, int, int, ndarray) object PyArray_Diagonal (ndarray, int, int, int) object PyArray_Clip (ndarray, object, object, ndarray) object PyArray_Conjugate (ndarray, ndarray) object PyArray_Nonzero (ndarray) object PyArray_Std (ndarray, int, int, ndarray, int) object PyArray_Sum (ndarray, int, int, ndarray) object PyArray_CumSum (ndarray, int, int, ndarray) object PyArray_Prod (ndarray, int, int, ndarray) object PyArray_CumProd (ndarray, int, int, ndarray) object PyArray_All (ndarray, int, ndarray) object PyArray_Any (ndarray, int, ndarray) object PyArray_Compress (ndarray, object, int, ndarray) object PyArray_Flatten (ndarray, NPY_ORDER) object PyArray_Ravel (ndarray, NPY_ORDER) npy_intp PyArray_MultiplyList (npy_intp *, int) int PyArray_MultiplyIntList (int *, int) void * PyArray_GetPtr (ndarray, npy_intp*) int PyArray_CompareLists (npy_intp *, npy_intp *, int) #int PyArray_AsCArray (object*, void *, npy_intp *, int, dtype) #int PyArray_As1D (object*, char **, int *, int) #int PyArray_As2D (object*, char ***, int *, int *, int) int PyArray_Free (object, void *) #int PyArray_Converter (object, object*) int PyArray_IntpFromSequence (object, npy_intp *, int) except -1 object PyArray_Concatenate (object, int) object PyArray_InnerProduct (object, object) object PyArray_MatrixProduct (object, object) object PyArray_CopyAndTranspose (object) object PyArray_Correlate (object, object, int) int PyArray_TypestrConvert (int, int) #int PyArray_DescrConverter (object, dtype*) except 0 #int PyArray_DescrConverter2 (object, dtype*) except 0 int PyArray_IntpConverter (object, PyArray_Dims *) except 0 #int PyArray_BufferConverter (object, chunk) except 0 int PyArray_AxisConverter (object, int *) except 0 int PyArray_BoolConverter (object, npy_bool *) except 0 int PyArray_ByteorderConverter (object, char *) except 0 int PyArray_OrderConverter (object, NPY_ORDER *) except 0 unsigned char PyArray_EquivTypes (dtype, dtype) # clears errors #object PyArray_Zeros (int, npy_intp *, dtype, int) #object PyArray_Empty (int, npy_intp *, dtype, int) object PyArray_Where (object, object, object) object PyArray_Arange (double, double, double, int) #object PyArray_ArangeObj (object, object, object, dtype) int PyArray_SortkindConverter (object, NPY_SORTKIND *) except 0 object PyArray_LexSort (object, int) object PyArray_Round (ndarray, int, ndarray) unsigned char PyArray_EquivTypenums (int, int) int PyArray_RegisterDataType (dtype) except -1 int PyArray_RegisterCastFunc (dtype, int, PyArray_VectorUnaryFunc *) except -1 int PyArray_RegisterCanCast (dtype, int, NPY_SCALARKIND) except -1 #void PyArray_InitArrFuncs (PyArray_ArrFuncs *) object PyArray_IntTupleFromIntp (int, npy_intp *) int PyArray_TypeNumFromName (char *) int PyArray_ClipmodeConverter (object, NPY_CLIPMODE *) except 0 #int PyArray_OutputConverter (object, ndarray*) except 0 object PyArray_BroadcastToShape (object, npy_intp *, int) void _PyArray_SigintHandler (int) void* _PyArray_GetSigintBuf () #int PyArray_DescrAlignConverter (object, dtype*) except 0 #int PyArray_DescrAlignConverter2 (object, dtype*) except 0 int PyArray_SearchsideConverter (object, void *) except 0 object PyArray_CheckAxis (ndarray, int *, int) npy_intp PyArray_OverflowMultiplyList (npy_intp *, int) int PyArray_CompareString (char *, char *, size_t) int PyArray_SetBaseObject(ndarray, base) except -1 # NOTE: steals a reference to base! Use "set_array_base()" instead. # Typedefs that matches the runtime dtype objects in # the numpy module. # The ones that are commented out needs an IFDEF function # in Cython to enable them only on the right systems. ctypedef npy_int8 int8_t ctypedef npy_int16 int16_t ctypedef npy_int32 int32_t ctypedef npy_int64 int64_t #ctypedef npy_int96 int96_t #ctypedef npy_int128 int128_t ctypedef npy_uint8 uint8_t ctypedef npy_uint16 uint16_t ctypedef npy_uint32 uint32_t ctypedef npy_uint64 uint64_t #ctypedef npy_uint96 uint96_t #ctypedef npy_uint128 uint128_t ctypedef npy_float32 float32_t ctypedef npy_float64 float64_t #ctypedef npy_float80 float80_t #ctypedef npy_float128 float128_t ctypedef float complex complex64_t ctypedef double complex complex128_t # The int types are mapped a bit surprising -- # numpy.int corresponds to 'l' and numpy.long to 'q' ctypedef npy_long int_t ctypedef npy_longlong longlong_t ctypedef npy_ulong uint_t ctypedef npy_ulonglong ulonglong_t ctypedef npy_intp intp_t ctypedef npy_uintp uintp_t ctypedef npy_double float_t ctypedef npy_double double_t ctypedef npy_longdouble longdouble_t ctypedef npy_cfloat cfloat_t ctypedef npy_cdouble cdouble_t ctypedef npy_clongdouble clongdouble_t ctypedef npy_cdouble complex_t cdef inline object PyArray_MultiIterNew1(a): return PyArray_MultiIterNew(1, <void*>a) cdef inline object PyArray_MultiIterNew2(a, b): return PyArray_MultiIterNew(2, <void*>a, <void*>b) cdef inline object PyArray_MultiIterNew3(a, b, c): return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c) cdef inline object PyArray_MultiIterNew4(a, b, c, d): return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d) cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e) cdef inline tuple PyDataType_SHAPE(dtype d): if PyDataType_HASSUBARRAY(d): return <tuple>d.subarray.shape else: return () cdef extern from "numpy/ndarrayobject.h": PyTypeObject PyTimedeltaArrType_Type PyTypeObject PyDatetimeArrType_Type ctypedef int64_t npy_timedelta ctypedef int64_t npy_datetime cdef extern from "numpy/ndarraytypes.h": ctypedef struct PyArray_DatetimeMetaData: NPY_DATETIMEUNIT base int64_t num cdef extern from "numpy/arrayscalars.h": # abstract types ctypedef class numpy.generic [object PyObject]: pass ctypedef class numpy.number [object PyObject]: pass ctypedef class numpy.integer [object PyObject]: pass ctypedef class numpy.signedinteger [object PyObject]: pass ctypedef class numpy.unsignedinteger [object PyObject]: pass ctypedef class numpy.inexact [object PyObject]: pass ctypedef class numpy.floating [object PyObject]: pass ctypedef class numpy.complexfloating [object PyObject]: pass ctypedef class numpy.flexible [object PyObject]: pass ctypedef class numpy.character [object PyObject]: pass ctypedef struct PyDatetimeScalarObject: # PyObject_HEAD npy_datetime obval PyArray_DatetimeMetaData obmeta ctypedef struct PyTimedeltaScalarObject: # PyObject_HEAD npy_timedelta obval PyArray_DatetimeMetaData obmeta ctypedef enum NPY_DATETIMEUNIT: NPY_FR_Y NPY_FR_M NPY_FR_W NPY_FR_D NPY_FR_B NPY_FR_h NPY_FR_m NPY_FR_s NPY_FR_ms NPY_FR_us NPY_FR_ns NPY_FR_ps NPY_FR_fs NPY_FR_as # # ufunc API # cdef extern from "numpy/ufuncobject.h": ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *) ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]: cdef: int nin, nout, nargs int identity PyUFuncGenericFunction *functions void **data int ntypes int check_return char *name char *types char *doc void *ptr PyObject *obj PyObject *userloops cdef enum: PyUFunc_Zero PyUFunc_One PyUFunc_None UFUNC_ERR_IGNORE UFUNC_ERR_WARN UFUNC_ERR_RAISE UFUNC_ERR_CALL UFUNC_ERR_PRINT UFUNC_ERR_LOG UFUNC_MASK_DIVIDEBYZERO UFUNC_MASK_OVERFLOW UFUNC_MASK_UNDERFLOW UFUNC_MASK_INVALID UFUNC_SHIFT_DIVIDEBYZERO UFUNC_SHIFT_OVERFLOW UFUNC_SHIFT_UNDERFLOW UFUNC_SHIFT_INVALID UFUNC_FPE_DIVIDEBYZERO UFUNC_FPE_OVERFLOW UFUNC_FPE_UNDERFLOW UFUNC_FPE_INVALID UFUNC_ERR_DEFAULT UFUNC_ERR_DEFAULT2 object PyUFunc_FromFuncAndData(PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int) int PyUFunc_RegisterLoopForType(ufunc, int, PyUFuncGenericFunction, int *, void *) except -1 void PyUFunc_f_f_As_d_d \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_d_d \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_f_f \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_g_g \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_F_F_As_D_D \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_F_F \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_D_D \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_G_G \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_O_O \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_ff_f_As_dd_d \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_ff_f \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_dd_d \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_gg_g \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_FF_F_As_DD_D \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_DD_D \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_FF_F \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_GG_G \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_OO_O \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_O_O_method \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_OO_O_method \ (char **, npy_intp *, npy_intp *, void *) void PyUFunc_On_Om \ (char **, npy_intp *, npy_intp *, void *) int PyUFunc_GetPyValues \ (char *, int *, int *, PyObject **) int PyUFunc_checkfperr \ (int, PyObject *, int *) void PyUFunc_clearfperr() int PyUFunc_getfperr() int PyUFunc_handlefperr \ (int, PyObject *, int, int *) except -1 int PyUFunc_ReplaceLoopBySignature \ (ufunc, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *) object PyUFunc_FromFuncAndDataAndSignature \ (PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int, char *) int _import_umath() except -1 cdef inline void set_array_base(ndarray arr, object base): Py_INCREF(base) # important to do this before stealing the reference below! PyArray_SetBaseObject(arr, base) cdef inline object get_array_base(ndarray arr): base = PyArray_BASE(arr) if base is NULL: return None return <object>base # Versions of the import_* functions which are more suitable for # Cython code. cdef inline int import_array() except -1: try: __pyx_import_array() except Exception: raise ImportError("numpy.core.multiarray failed to import") cdef inline int import_umath() except -1: try: _import_umath() except Exception: raise ImportError("numpy.core.umath failed to import") cdef inline int import_ufunc() except -1: try: _import_umath() except Exception: raise ImportError("numpy.core.umath failed to import") cdef inline bint is_timedelta64_object(object obj): """ Cython equivalent of `isinstance(obj, np.timedelta64)` Parameters ---------- obj : object Returns ------- bool """ return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type) cdef inline bint is_datetime64_object(object obj): """ Cython equivalent of `isinstance(obj, np.datetime64)` Parameters ---------- obj : object Returns ------- bool """ return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type) cdef inline npy_datetime get_datetime64_value(object obj) nogil: """ returns the int64 value underlying scalar numpy datetime64 object Note that to interpret this as a datetime, the corresponding unit is also needed. That can be found using `get_datetime64_unit`. """ return (<PyDatetimeScalarObject*>obj).obval cdef inline npy_timedelta get_timedelta64_value(object obj) nogil: """ returns the int64 value underlying scalar numpy timedelta64 object """ return (<PyTimedeltaScalarObject*>obj).obval cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil: """ returns the unit part of the dtype for a numpy datetime64 object. """ return <NPY_DATETIMEUNIT>(<PyDatetimeScalarObject*>obj).obmeta.base
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