# 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 "numpy/arrayobject.h":
# It would be nice to use size_t and ssize_t, but ssize_t has special
# implicit conversion rules, so just use "long".
# Note: The actual type only matters for Cython promotion, so long
# is closer than int, but could lead to incorrect promotion.
# (Not to worrying, and always the status-quo.)
ctypedef signed long npy_intp
ctypedef unsigned long npy_uintp
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:
pass
ctypedef struct npy_cdouble:
pass
ctypedef struct npy_clongdouble:
pass
ctypedef struct npy_complex64:
pass
ctypedef struct npy_complex128:
pass
ctypedef struct npy_complex160:
pass
ctypedef struct npy_complex192:
pass
ctypedef struct npy_complex256:
pass
ctypedef struct PyArray_Dims:
npy_intp *ptr
int len
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_LEGACY
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
NPY_DEFAULT_INT # Not a compile time constant (normally)!
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 # 64 on NumPy 2.x and 32 on NumPy 1.x
NPY_RAVEL_AXIS # Used for functions like PyArray_Mean
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 int type_num
@property
cdef inline npy_intp itemsize(self) noexcept nogil:
return PyDataType_ELSIZE(self)
@property
cdef inline npy_intp alignment(self) noexcept nogil:
return PyDataType_ALIGNMENT(self)
# Use fields/names with care as they may be NULL. You must check
# for this using PyDataType_HASFIELDS.
@property
cdef inline object fields(self):
return <object>PyDataType_FIELDS(self)
@property
cdef inline tuple names(self):
return <tuple>PyDataType_NAMES(self)
# 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.
@property
cdef inline PyArray_ArrayDescr* subarray(self) noexcept nogil:
return PyDataType_SUBARRAY(self)
@property
cdef inline npy_uint64 flags(self) noexcept nogil:
"""The data types flags."""
return PyDataType_FLAGS(self)
ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]:
# Use through macros
pass
ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
@property
cdef inline int numiter(self) noexcept nogil:
"""The number of arrays that need to be broadcast to the same shape."""
return PyArray_MultiIter_NUMITER(self)
@property
cdef inline npy_intp size(self) noexcept nogil:
"""The total broadcasted size."""
return PyArray_MultiIter_SIZE(self)
@property
cdef inline npy_intp index(self) noexcept nogil:
"""The current (1-d) index into the broadcasted result."""
return PyArray_MultiIter_INDEX(self)
@property
cdef inline int nd(self) noexcept nogil:
"""The number of dimensions in the broadcasted result."""
return PyArray_MultiIter_NDIM(self)
@property
cdef inline npy_intp* dimensions(self) noexcept nogil:
"""The shape of the broadcasted result."""
return PyArray_MultiIter_DIMS(self)
@property
cdef inline void** iters(self) noexcept nogil:
"""An array of iterator objects that holds the iterators for the arrays to be broadcast together.
On return, the iterators are adjusted for broadcasting."""
return PyArray_MultiIter_ITERS(self)
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) noexcept 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) noexcept nogil:
"""Returns the number of dimensions in the array.
"""
return PyArray_NDIM(self)
@property
cdef inline npy_intp *shape(self) noexcept 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) noexcept 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) noexcept nogil:
"""Returns the total size (in number of elements) of the array.
"""
return PyArray_SIZE(self)
@property
cdef inline char* data(self) noexcept 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)
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_ISFLEXIBLE(int) nogil
bint PyTypeNum_ISUSERDEF(int) nogil
bint PyTypeNum_ISEXTENDED(int) nogil
bint PyTypeNum_ISOBJECT(int) nogil
npy_intp PyDataType_ELSIZE(dtype) nogil
npy_intp PyDataType_ALIGNMENT(dtype) nogil
PyObject* PyDataType_METADATA(dtype) nogil
PyArray_ArrayDescr* PyDataType_SUBARRAY(dtype) nogil
PyObject* PyDataType_NAMES(dtype) nogil
PyObject* PyDataType_FIELDS(dtype) 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_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
npy_uint64 PyDataType_FLAGS(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_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(ndarray, int val)
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
npy_intp PyArray_MultiIter_SIZE(broadcast multi) nogil
int PyArray_MultiIter_NDIM(broadcast multi) nogil
npy_intp PyArray_MultiIter_INDEX(broadcast multi) nogil
int PyArray_MultiIter_NUMITER(broadcast multi) nogil
npy_intp* PyArray_MultiIter_DIMS(broadcast multi) nogil
void** PyArray_MultiIter_ITERS(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_INCREF (ndarray) except * # uses PyArray_Item_INCREF...
int PyArray_XDECREF (ndarray) except * # uses PyArray_Item_DECREF...
dtype PyArray_DescrFromType (int)
object PyArray_TypeObjectFromType (int)
char * PyArray_Zero (ndarray)
char * PyArray_One (ndarray)
#object PyArray_CastToType (ndarray, dtype, int)
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)
#PyArray_VectorUnaryFunc * PyArray_GetCastFunc (dtype, int)
#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_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
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)
npy_bool PyArray_CanCastScalar (type, type)
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_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_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_Correlate (object, object, 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_ClipmodeConverter (object, NPY_CLIPMODE *) except 0
#int PyArray_OutputConverter (object, ndarray*) except 0
object PyArray_BroadcastToShape (object, npy_intp *, int)
#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_SetBaseObject(ndarray, base) except -1 # NOTE: steals a reference to base! Use "set_array_base()" instead.
# additional datetime related functions are defined below
# 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
ctypedef npy_longlong longlong_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 float complex cfloat_t
ctypedef double complex cdouble_t
ctypedef double complex complex_t
ctypedef long double complex clongdouble_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
ctypedef struct npy_datetimestruct:
int64_t year
int32_t month, day, hour, min, sec, us, ps, as
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
NPY_FR_GENERIC
cdef extern from "numpy/arrayobject.h":
# These are part of the C-API defined in `__multiarray_api.h`
# NumPy internal definitions in datetime_strings.c:
int get_datetime_iso_8601_strlen "NpyDatetime_GetDatetimeISO8601StrLen" (
int local, NPY_DATETIMEUNIT base)
int make_iso_8601_datetime "NpyDatetime_MakeISO8601Datetime" (
npy_datetimestruct *dts, char *outstr, npy_intp outlen,
int local, int utc, NPY_DATETIMEUNIT base, int tzoffset,
NPY_CASTING casting) except -1
# NumPy internal definition in datetime.c:
# May return 1 to indicate that object does not appear to be a datetime
# (returns 0 on success).
int convert_pydatetime_to_datetimestruct "NpyDatetime_ConvertPyDateTimeToDatetimeStruct" (
PyObject *obj, npy_datetimestruct *out,
NPY_DATETIMEUNIT *out_bestunit, int apply_tzinfo) except -1
int convert_datetime64_to_datetimestruct "NpyDatetime_ConvertDatetime64ToDatetimeStruct" (
PyArray_DatetimeMetaData *meta, npy_datetime dt,
npy_datetimestruct *out) except -1
int convert_datetimestruct_to_datetime64 "NpyDatetime_ConvertDatetimeStructToDatetime64"(
PyArray_DatetimeMetaData *meta, const npy_datetimestruct *dts,
npy_datetime *out) except -1
#
# 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_FPE_DIVIDEBYZERO
UFUNC_FPE_OVERFLOW
UFUNC_FPE_UNDERFLOW
UFUNC_FPE_INVALID
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 *)
void PyUFunc_clearfperr()
int PyUFunc_getfperr()
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) except *:
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) noexcept:
"""
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) noexcept:
"""
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) noexcept 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) noexcept nogil:
"""
returns the int64 value underlying scalar numpy timedelta64 object
"""
return (<PyTimedeltaScalarObject*>obj).obval
cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:
"""
returns the unit part of the dtype for a numpy datetime64 object.
"""
return <NPY_DATETIMEUNIT>(<PyDatetimeScalarObject*>obj).obmeta.base
# Iterator API added in v1.6
ctypedef int (*NpyIter_IterNextFunc)(NpyIter* it) noexcept nogil
ctypedef void (*NpyIter_GetMultiIndexFunc)(NpyIter* it, npy_intp* outcoords) noexcept nogil
cdef extern from "numpy/arrayobject.h":
ctypedef struct NpyIter:
pass
cdef enum:
NPY_FAIL
NPY_SUCCEED
cdef enum:
# Track an index representing C order
NPY_ITER_C_INDEX
# Track an index representing Fortran order
NPY_ITER_F_INDEX
# Track a multi-index
NPY_ITER_MULTI_INDEX
# User code external to the iterator does the 1-dimensional innermost loop
NPY_ITER_EXTERNAL_LOOP
# Convert all the operands to a common data type
NPY_ITER_COMMON_DTYPE
# Operands may hold references, requiring API access during iteration
NPY_ITER_REFS_OK
# Zero-sized operands should be permitted, iteration checks IterSize for 0
NPY_ITER_ZEROSIZE_OK
# Permits reductions (size-0 stride with dimension size > 1)
NPY_ITER_REDUCE_OK
# Enables sub-range iteration
NPY_ITER_RANGED
# Enables buffering
NPY_ITER_BUFFERED
# When buffering is enabled, grows the inner loop if possible
NPY_ITER_GROWINNER
# Delay allocation of buffers until first Reset* call
NPY_ITER_DELAY_BUFALLOC
# When NPY_KEEPORDER is specified, disable reversing negative-stride axes
NPY_ITER_DONT_NEGATE_STRIDES
NPY_ITER_COPY_IF_OVERLAP
# The operand will be read from and written to
NPY_ITER_READWRITE
# The operand will only be read from
NPY_ITER_READONLY
# The operand will only be written to
NPY_ITER_WRITEONLY
# The operand's data must be in native byte order
NPY_ITER_NBO
# The operand's data must be aligned
NPY_ITER_ALIGNED
# The operand's data must be contiguous (within the inner loop)
NPY_ITER_CONTIG
# The operand may be copied to satisfy requirements
NPY_ITER_COPY
# The operand may be copied with WRITEBACKIFCOPY to satisfy requirements
NPY_ITER_UPDATEIFCOPY
# Allocate the operand if it is NULL
NPY_ITER_ALLOCATE
# If an operand is allocated, don't use any subtype
NPY_ITER_NO_SUBTYPE
# This is a virtual array slot, operand is NULL but temporary data is there
NPY_ITER_VIRTUAL
# Require that the dimension match the iterator dimensions exactly
NPY_ITER_NO_BROADCAST
# A mask is being used on this array, affects buffer -> array copy
NPY_ITER_WRITEMASKED
# This array is the mask for all WRITEMASKED operands
NPY_ITER_ARRAYMASK
# Assume iterator order data access for COPY_IF_OVERLAP
NPY_ITER_OVERLAP_ASSUME_ELEMENTWISE
# construction and destruction functions
NpyIter* NpyIter_New(ndarray arr, npy_uint32 flags, NPY_ORDER order,
NPY_CASTING casting, dtype datatype) except NULL
NpyIter* NpyIter_MultiNew(npy_intp nop, PyArrayObject** op, npy_uint32 flags,
NPY_ORDER order, NPY_CASTING casting, npy_uint32*
op_flags, PyArray_Descr** op_dtypes) except NULL
NpyIter* NpyIter_AdvancedNew(npy_intp nop, PyArrayObject** op,
npy_uint32 flags, NPY_ORDER order,
NPY_CASTING casting, npy_uint32* op_flags,
PyArray_Descr** op_dtypes, int oa_ndim,
int** op_axes, const npy_intp* itershape,
npy_intp buffersize) except NULL
NpyIter* NpyIter_Copy(NpyIter* it) except NULL
int NpyIter_RemoveAxis(NpyIter* it, int axis) except NPY_FAIL
int NpyIter_RemoveMultiIndex(NpyIter* it) except NPY_FAIL
int NpyIter_EnableExternalLoop(NpyIter* it) except NPY_FAIL
int NpyIter_Deallocate(NpyIter* it) except NPY_FAIL
int NpyIter_Reset(NpyIter* it, char** errmsg) except NPY_FAIL
int NpyIter_ResetToIterIndexRange(NpyIter* it, npy_intp istart,
npy_intp iend, char** errmsg) except NPY_FAIL
int NpyIter_ResetBasePointers(NpyIter* it, char** baseptrs, char** errmsg) except NPY_FAIL
int NpyIter_GotoMultiIndex(NpyIter* it, const npy_intp* multi_index) except NPY_FAIL
int NpyIter_GotoIndex(NpyIter* it, npy_intp index) except NPY_FAIL
npy_intp NpyIter_GetIterSize(NpyIter* it) nogil
npy_intp NpyIter_GetIterIndex(NpyIter* it) nogil
void NpyIter_GetIterIndexRange(NpyIter* it, npy_intp* istart,
npy_intp* iend) nogil
int NpyIter_GotoIterIndex(NpyIter* it, npy_intp iterindex) except NPY_FAIL
npy_bool NpyIter_HasDelayedBufAlloc(NpyIter* it) nogil
npy_bool NpyIter_HasExternalLoop(NpyIter* it) nogil
npy_bool NpyIter_HasMultiIndex(NpyIter* it) nogil
npy_bool NpyIter_HasIndex(NpyIter* it) nogil
npy_bool NpyIter_RequiresBuffering(NpyIter* it) nogil
npy_bool NpyIter_IsBuffered(NpyIter* it) nogil
npy_bool NpyIter_IsGrowInner(NpyIter* it) nogil
npy_intp NpyIter_GetBufferSize(NpyIter* it) nogil
int NpyIter_GetNDim(NpyIter* it) nogil
int NpyIter_GetNOp(NpyIter* it) nogil
npy_intp* NpyIter_GetAxisStrideArray(NpyIter* it, int axis) except NULL
int NpyIter_GetShape(NpyIter* it, npy_intp* outshape) nogil
PyArray_Descr** NpyIter_GetDescrArray(NpyIter* it)
PyArrayObject** NpyIter_GetOperandArray(NpyIter* it)
ndarray NpyIter_GetIterView(NpyIter* it, npy_intp i)
void NpyIter_GetReadFlags(NpyIter* it, char* outreadflags)
void NpyIter_GetWriteFlags(NpyIter* it, char* outwriteflags)
int NpyIter_CreateCompatibleStrides(NpyIter* it, npy_intp itemsize,
npy_intp* outstrides) except NPY_FAIL
npy_bool NpyIter_IsFirstVisit(NpyIter* it, int iop) nogil
# functions for iterating an NpyIter object
NpyIter_IterNextFunc* NpyIter_GetIterNext(NpyIter* it, char** errmsg) except NULL
NpyIter_GetMultiIndexFunc* NpyIter_GetGetMultiIndex(NpyIter* it,
char** errmsg) except NULL
char** NpyIter_GetDataPtrArray(NpyIter* it) nogil
char** NpyIter_GetInitialDataPtrArray(NpyIter* it) nogil
npy_intp* NpyIter_GetIndexPtr(NpyIter* it)
npy_intp* NpyIter_GetInnerStrideArray(NpyIter* it) nogil
npy_intp* NpyIter_GetInnerLoopSizePtr(NpyIter* it) nogil
void NpyIter_GetInnerFixedStrideArray(NpyIter* it, npy_intp* outstrides) nogil
npy_bool NpyIter_IterationNeedsAPI(NpyIter* it) nogil
void NpyIter_DebugPrint(NpyIter* it)