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Wallpaper-Changer/lib/numpy/__init__.pxd

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Added Python Libraries
2020-12-02 23:58:58 +00:00
# NumPy static imports for Cython
#
# If any of the PyArray_* functions are called, import_array must be
# called first.
#
# This also defines backwards-compatibility buffer acquisition
# code for use in Python 2.x (or Python <= 2.5 when NumPy starts
# implementing PEP-3118 directly).
#
# Because of laziness, the format string of the buffer is statically
# allocated. Increase the size if this is not enough, or submit a
# patch to do this properly.
#
# Author: Dag Sverre Seljebotn
#
DEF _buffer_format_string_len = 255
cimport cpython.buffer as pybuf
from cpython.ref cimport Py_INCREF
from cpython.mem cimport PyObject_Malloc, PyObject_Free
from cpython.object cimport PyObject, PyTypeObject
from cpython.buffer cimport PyObject_GetBuffer
from cpython.type cimport type
cimport libc.stdio as stdio
cdef extern from "Python.h":
ctypedef int 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_UPDATEIFCOPY
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_UPDATEIFCOPY
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 dict 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 extern class numpy.flatiter [object PyArrayIterObject, check_size ignore]:
# Use through macros
pass
ctypedef extern class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
cdef int numiter
cdef npy_intp size, index
cdef int nd
cdef npy_intp *dimensions
cdef void **iters
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"}
cdef:
# Only taking a few of the most commonly used and stable fields.
# One should use PyArray_* macros instead to access the C fields.
char *data
int ndim "nd"
npy_intp *shape "dimensions"
npy_intp *strides
dtype descr # deprecated since NumPy 1.7 !
PyObject* base # NOT PUBLIC, DO NOT USE !
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:
double real
double 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!
int PyArray_FLAGS(ndarray) nogil
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)
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
void PyArray_XDECREF_ERR(ndarray)
# 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)
object PyArray_GetNumericOps ()
int PyArray_INCREF (ndarray)
int PyArray_XDECREF (ndarray)
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)
int PyArray_CastAnyTo (ndarray, ndarray)
int PyArray_CanCastSafely (int, int)
npy_bool PyArray_CanCastTo (dtype, dtype)
int PyArray_ObjectType (object, int)
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)
object PyArray_Byteswap (ndarray, npy_bool)
object PyArray_Resize (ndarray, PyArray_Dims *, int, NPY_ORDER)
int PyArray_MoveInto (ndarray, ndarray)
int PyArray_CopyInto (ndarray, ndarray)
int PyArray_CopyAnyInto (ndarray, ndarray)
int PyArray_CopyObject (ndarray, object)
object PyArray_NewCopy (ndarray, NPY_ORDER)
object PyArray_ToList (ndarray)
object PyArray_ToString (ndarray, NPY_ORDER)
int PyArray_ToFile (ndarray, stdio.FILE *, char *, char *)
int PyArray_Dump (object, object, int)
object PyArray_Dumps (object, int)
int PyArray_ValidType (int)
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)
object PyArray_IterNew (object)
object PyArray_MultiIterNew (int, ...)
int PyArray_PyIntAsInt (object)
npy_intp PyArray_PyIntAsIntp (object)
int PyArray_Broadcast (broadcast)
void PyArray_FillObjectArray (ndarray, object)
int PyArray_FillWithScalar (ndarray, object)
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)
int PyArray_ElementStrides (object)
void PyArray_Item_INCREF (char *, dtype)
void PyArray_Item_XDECREF (char *, dtype)
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)
object PyArray_ArgSort (ndarray, int, NPY_SORTKIND)
object PyArray_SearchSorted (ndarray, object, NPY_SEARCHSIDE, object)
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)
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*)
#int PyArray_DescrConverter2 (object, dtype*)
int PyArray_IntpConverter (object, PyArray_Dims *)
#int PyArray_BufferConverter (object, chunk)
int PyArray_AxisConverter (object, int *)
int PyArray_BoolConverter (object, npy_bool *)
int PyArray_ByteorderConverter (object, char *)
int PyArray_OrderConverter (object, NPY_ORDER *)
unsigned char PyArray_EquivTypes (dtype, dtype)
#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 *)
object PyArray_LexSort (object, int)
object PyArray_Round (ndarray, int, ndarray)
unsigned char PyArray_EquivTypenums (int, int)
int PyArray_RegisterDataType (dtype)
int PyArray_RegisterCastFunc (dtype, int, PyArray_VectorUnaryFunc *)
int PyArray_RegisterCanCast (dtype, int, NPY_SCALARKIND)
#void PyArray_InitArrFuncs (PyArray_ArrFuncs *)
object PyArray_IntTupleFromIntp (int, npy_intp *)
int PyArray_TypeNumFromName (char *)
int PyArray_ClipmodeConverter (object, NPY_CLIPMODE *)
#int PyArray_OutputConverter (object, ndarray*)
object PyArray_BroadcastToShape (object, npy_intp *, int)
void _PyArray_SigintHandler (int)
void* _PyArray_GetSigintBuf ()
#int PyArray_DescrAlignConverter (object, dtype*)
#int PyArray_DescrAlignConverter2 (object, dtype*)
int PyArray_SearchsideConverter (object, void *)
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) # 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 long_t
ctypedef npy_longlong longlong_t
ctypedef npy_ulong uint_t
ctypedef npy_ulonglong ulong_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 inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:
# Recursive utility function used in __getbuffer__ to get format
# string. The new location in the format string is returned.
cdef dtype child
cdef int endian_detector = 1
cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
cdef tuple fields
for childname in descr.names:
fields = descr.fields[childname]
child, new_offset = fields
if (end - f) - <int>(new_offset - offset[0]) < 15:
raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
if ((child.byteorder == c'>' and little_endian) or
(child.byteorder == c'<' and not little_endian)):
raise ValueError(u"Non-native byte order not supported")
# One could encode it in the format string and have Cython
# complain instead, BUT: < and > in format strings also imply
# standardized sizes for datatypes, and we rely on native in
# order to avoid reencoding data types based on their size.
#
# A proper PEP 3118 exporter for other clients than Cython
# must deal properly with this!
# Output padding bytes
while offset[0] < new_offset:
f[0] = 120 # "x"; pad byte
f += 1
offset[0] += 1
offset[0] += child.itemsize
if not PyDataType_HASFIELDS(child):
t = child.type_num
if end - f < 5:
raise RuntimeError(u"Format string allocated too short.")
# Until ticket #99 is fixed, use integers to avoid warnings
if t == NPY_BYTE: f[0] = 98 #"b"
elif t == NPY_UBYTE: f[0] = 66 #"B"
elif t == NPY_SHORT: f[0] = 104 #"h"
elif t == NPY_USHORT: f[0] = 72 #"H"
elif t == NPY_INT: f[0] = 105 #"i"
elif t == NPY_UINT: f[0] = 73 #"I"
elif t == NPY_LONG: f[0] = 108 #"l"
elif t == NPY_ULONG: f[0] = 76 #"L"
elif t == NPY_LONGLONG: f[0] = 113 #"q"
elif t == NPY_ULONGLONG: f[0] = 81 #"Q"
elif t == NPY_FLOAT: f[0] = 102 #"f"
elif t == NPY_DOUBLE: f[0] = 100 #"d"
elif t == NPY_LONGDOUBLE: f[0] = 103 #"g"
elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf
elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd
elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
elif t == NPY_OBJECT: f[0] = 79 #"O"
else:
raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
f += 1
else:
# Cython ignores struct boundary information ("T{...}"),
# so don't output it
f = _util_dtypestring(child, f, end, offset)
return f
#
# ufunc API
#
cdef extern from "numpy/ufuncobject.h":
ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *)
ctypedef extern 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 *)
int PyUFunc_GenericFunction \
(ufunc, PyObject *, PyObject *, PyArrayObject **)
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 *)
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 extern from *:
# Leave a marker that the NumPy declarations came from this file
# See https://github.com/cython/cython/issues/3573
"""
/* NumPy API declarations from "numpy/__init__.pxd" */
"""
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