Yu1709$!%yuyu!$%wutu!5=126+

                
____  ___       .__                 
\   \/  /  _____|  |   ______  _  __
 \     /  /  ___/  |  /  _ \ \/ \/ /
 /     \  \___ \|  |_(  <_> )     / 
/___/\  \/____  >____/\____/ \/\_/  
      \_/     \/    @ligmakokz

Editing: 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 "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_UINTP
        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.

# The memory handler functions require the NumPy 1.22 API
    # and may require defining NPY_TARGET_VERSION
    ctypedef struct PyDataMemAllocator:
        void *ctx
        void* (*malloc) (void *ctx, size_t size)
        void* (*calloc) (void *ctx, size_t nelem, size_t elsize)
        void* (*realloc) (void *ctx, void *ptr, size_t new_size)
        void (*free) (void *ctx, void *ptr, size_t size)

ctypedef struct PyDataMem_Handler:
        char* name
        npy_uint8 version
        PyDataMemAllocator allocator

object PyDataMem_SetHandler(object handler)
    object PyDataMem_GetHandler()

# 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)

Name	Type	Actions
__pycache__	Directory
_core	Directory
_pyinstaller	Directory
_typing	Directory
_utils	Directory
char	Directory
compat	Directory
core	Directory
doc	Directory
f2py	Directory
fft	Directory
lib	Directory
linalg	Directory
ma	Directory
matrixlib	Directory
polynomial	Directory
random	Directory
rec	Directory
strings	Directory
testing	Directory
tests	Directory
typing	Directory
__config__.py	File
__config__.pyi	File
__init__.cython-30.pxd	File
__init__.pxd	File
__init__.py	File
__init__.pyi	File
_array_api_info.py	File
_array_api_info.pyi	File
_configtool.py	File
_distributor_init.py	File
_expired_attrs_2_0.py	File
_globals.py	File
_pytesttester.py	File
_pytesttester.pyi	File
conftest.py	File
ctypeslib.py	File
ctypeslib.pyi	File
dtypes.py	File
dtypes.pyi	File
exceptions.py	File
exceptions.pyi	File
matlib.py	File
py.typed	File
version.py	File
version.pyi	File

Editing: __init__.cython-30.pxd

Editing: init.cython-30.pxd