1226 lines
45 KiB
Cython
1226 lines
45 KiB
Cython
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# NumPy static imports for Cython >= 3.0
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#
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# If any of the PyArray_* functions are called, import_array must be
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# called first. This is done automatically by Cython 3.0+ if a call
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# is not detected inside of the module.
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#
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# Author: Dag Sverre Seljebotn
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#
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from cpython.ref cimport Py_INCREF
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from cpython.object cimport PyObject, PyTypeObject, PyObject_TypeCheck
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cimport libc.stdio as stdio
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cdef extern from *:
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# Leave a marker that the NumPy declarations came from NumPy itself and not from Cython.
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# See https://github.com/cython/cython/issues/3573
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"""
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/* Using NumPy API declarations from "numpy/__init__.cython-30.pxd" */
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"""
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cdef extern from "numpy/arrayobject.h":
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# It would be nice to use size_t and ssize_t, but ssize_t has special
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# implicit conversion rules, so just use "long".
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# Note: The actual type only matters for Cython promotion, so long
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# is closer than int, but could lead to incorrect promotion.
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# (Not to worrying, and always the status-quo.)
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ctypedef signed long npy_intp
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ctypedef unsigned long npy_uintp
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ctypedef unsigned char npy_bool
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ctypedef signed char npy_byte
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ctypedef signed short npy_short
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ctypedef signed int npy_int
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ctypedef signed long npy_long
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ctypedef signed long long npy_longlong
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ctypedef unsigned char npy_ubyte
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ctypedef unsigned short npy_ushort
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ctypedef unsigned int npy_uint
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ctypedef unsigned long npy_ulong
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ctypedef unsigned long long npy_ulonglong
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ctypedef float npy_float
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ctypedef double npy_double
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ctypedef long double npy_longdouble
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ctypedef signed char npy_int8
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ctypedef signed short npy_int16
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ctypedef signed int npy_int32
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ctypedef signed long long npy_int64
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ctypedef signed long long npy_int96
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ctypedef signed long long npy_int128
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ctypedef unsigned char npy_uint8
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ctypedef unsigned short npy_uint16
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ctypedef unsigned int npy_uint32
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ctypedef unsigned long long npy_uint64
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ctypedef unsigned long long npy_uint96
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ctypedef unsigned long long npy_uint128
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ctypedef float npy_float32
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ctypedef double npy_float64
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ctypedef long double npy_float80
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ctypedef long double npy_float96
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ctypedef long double npy_float128
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ctypedef struct npy_cfloat:
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pass
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ctypedef struct npy_cdouble:
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pass
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ctypedef struct npy_clongdouble:
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pass
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ctypedef struct npy_complex64:
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pass
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ctypedef struct npy_complex128:
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pass
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ctypedef struct npy_complex160:
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pass
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ctypedef struct npy_complex192:
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pass
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ctypedef struct npy_complex256:
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pass
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ctypedef struct PyArray_Dims:
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npy_intp *ptr
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int len
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cdef enum NPY_TYPES:
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NPY_BOOL
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NPY_BYTE
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NPY_UBYTE
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NPY_SHORT
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NPY_USHORT
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NPY_INT
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NPY_UINT
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NPY_LONG
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NPY_ULONG
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NPY_LONGLONG
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NPY_ULONGLONG
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NPY_FLOAT
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NPY_DOUBLE
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NPY_LONGDOUBLE
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NPY_CFLOAT
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NPY_CDOUBLE
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NPY_CLONGDOUBLE
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NPY_OBJECT
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NPY_STRING
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NPY_UNICODE
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NPY_VOID
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NPY_DATETIME
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NPY_TIMEDELTA
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NPY_NTYPES_LEGACY
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NPY_NOTYPE
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NPY_INT8
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NPY_INT16
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NPY_INT32
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NPY_INT64
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NPY_INT128
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NPY_INT256
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NPY_UINT8
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NPY_UINT16
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NPY_UINT32
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NPY_UINT64
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NPY_UINT128
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NPY_UINT256
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NPY_FLOAT16
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NPY_FLOAT32
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NPY_FLOAT64
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NPY_FLOAT80
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NPY_FLOAT96
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NPY_FLOAT128
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NPY_FLOAT256
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NPY_COMPLEX32
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NPY_COMPLEX64
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NPY_COMPLEX128
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NPY_COMPLEX160
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NPY_COMPLEX192
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NPY_COMPLEX256
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NPY_COMPLEX512
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NPY_INTP
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NPY_DEFAULT_INT # Not a compile time constant (normally)!
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ctypedef enum NPY_ORDER:
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NPY_ANYORDER
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NPY_CORDER
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NPY_FORTRANORDER
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NPY_KEEPORDER
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ctypedef enum NPY_CASTING:
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NPY_NO_CASTING
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NPY_EQUIV_CASTING
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NPY_SAFE_CASTING
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NPY_SAME_KIND_CASTING
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NPY_UNSAFE_CASTING
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ctypedef enum NPY_CLIPMODE:
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NPY_CLIP
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NPY_WRAP
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NPY_RAISE
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ctypedef enum NPY_SCALARKIND:
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NPY_NOSCALAR,
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NPY_BOOL_SCALAR,
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NPY_INTPOS_SCALAR,
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NPY_INTNEG_SCALAR,
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NPY_FLOAT_SCALAR,
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NPY_COMPLEX_SCALAR,
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NPY_OBJECT_SCALAR
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ctypedef enum NPY_SORTKIND:
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NPY_QUICKSORT
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NPY_HEAPSORT
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NPY_MERGESORT
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ctypedef enum NPY_SEARCHSIDE:
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NPY_SEARCHLEFT
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NPY_SEARCHRIGHT
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enum:
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# DEPRECATED since NumPy 1.7 ! Do not use in new code!
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NPY_C_CONTIGUOUS
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NPY_F_CONTIGUOUS
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NPY_CONTIGUOUS
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NPY_FORTRAN
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NPY_OWNDATA
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NPY_FORCECAST
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NPY_ENSURECOPY
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NPY_ENSUREARRAY
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NPY_ELEMENTSTRIDES
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NPY_ALIGNED
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NPY_NOTSWAPPED
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NPY_WRITEABLE
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NPY_ARR_HAS_DESCR
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NPY_BEHAVED
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NPY_BEHAVED_NS
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NPY_CARRAY
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NPY_CARRAY_RO
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NPY_FARRAY
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NPY_FARRAY_RO
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NPY_DEFAULT
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NPY_IN_ARRAY
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NPY_OUT_ARRAY
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NPY_INOUT_ARRAY
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NPY_IN_FARRAY
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NPY_OUT_FARRAY
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NPY_INOUT_FARRAY
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NPY_UPDATE_ALL
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enum:
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# Added in NumPy 1.7 to replace the deprecated enums above.
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NPY_ARRAY_C_CONTIGUOUS
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NPY_ARRAY_F_CONTIGUOUS
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NPY_ARRAY_OWNDATA
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NPY_ARRAY_FORCECAST
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NPY_ARRAY_ENSURECOPY
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NPY_ARRAY_ENSUREARRAY
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NPY_ARRAY_ELEMENTSTRIDES
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NPY_ARRAY_ALIGNED
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NPY_ARRAY_NOTSWAPPED
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NPY_ARRAY_WRITEABLE
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NPY_ARRAY_WRITEBACKIFCOPY
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NPY_ARRAY_BEHAVED
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NPY_ARRAY_BEHAVED_NS
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NPY_ARRAY_CARRAY
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NPY_ARRAY_CARRAY_RO
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NPY_ARRAY_FARRAY
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NPY_ARRAY_FARRAY_RO
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NPY_ARRAY_DEFAULT
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NPY_ARRAY_IN_ARRAY
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NPY_ARRAY_OUT_ARRAY
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NPY_ARRAY_INOUT_ARRAY
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NPY_ARRAY_IN_FARRAY
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NPY_ARRAY_OUT_FARRAY
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NPY_ARRAY_INOUT_FARRAY
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NPY_ARRAY_UPDATE_ALL
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cdef enum:
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NPY_MAXDIMS # 64 on NumPy 2.x and 32 on NumPy 1.x
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NPY_RAVEL_AXIS # Used for functions like PyArray_Mean
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ctypedef void (*PyArray_VectorUnaryFunc)(void *, void *, npy_intp, void *, void *)
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ctypedef struct PyArray_ArrayDescr:
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# shape is a tuple, but Cython doesn't support "tuple shape"
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# inside a non-PyObject declaration, so we have to declare it
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# as just a PyObject*.
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PyObject* shape
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ctypedef struct PyArray_Descr:
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pass
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ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]:
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# Use PyDataType_* macros when possible, however there are no macros
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# for accessing some of the fields, so some are defined.
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cdef PyTypeObject* typeobj
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cdef char kind
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cdef char type
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# Numpy sometimes mutates this without warning (e.g. it'll
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# sometimes change "|" to "<" in shared dtype objects on
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# little-endian machines). If this matters to you, use
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# PyArray_IsNativeByteOrder(dtype.byteorder) instead of
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# directly accessing this field.
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cdef char byteorder
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cdef int type_num
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@property
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cdef inline npy_intp itemsize(self) noexcept nogil:
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return PyDataType_ELSIZE(self)
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@property
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cdef inline npy_intp alignment(self) noexcept nogil:
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return PyDataType_ALIGNMENT(self)
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# Use fields/names with care as they may be NULL. You must check
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# for this using PyDataType_HASFIELDS.
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@property
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cdef inline object fields(self):
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return <object>PyDataType_FIELDS(self)
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@property
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cdef inline tuple names(self):
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return <tuple>PyDataType_NAMES(self)
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# Use PyDataType_HASSUBARRAY to test whether this field is
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# valid (the pointer can be NULL). Most users should access
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# this field via the inline helper method PyDataType_SHAPE.
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@property
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cdef inline PyArray_ArrayDescr* subarray(self) noexcept nogil:
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return PyDataType_SUBARRAY(self)
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@property
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cdef inline npy_uint64 flags(self) noexcept nogil:
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"""The data types flags."""
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return PyDataType_FLAGS(self)
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ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]:
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# Use through macros
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pass
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ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]:
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@property
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cdef inline int numiter(self) noexcept nogil:
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"""The number of arrays that need to be broadcast to the same shape."""
|
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return PyArray_MultiIter_NUMITER(self)
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@property
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cdef inline npy_intp size(self) noexcept nogil:
|
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"""The total broadcasted size."""
|
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return PyArray_MultiIter_SIZE(self)
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@property
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cdef inline npy_intp index(self) noexcept nogil:
|
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"""The current (1-d) index into the broadcasted result."""
|
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return PyArray_MultiIter_INDEX(self)
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@property
|
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cdef inline int nd(self) noexcept nogil:
|
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"""The number of dimensions in the broadcasted result."""
|
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return PyArray_MultiIter_NDIM(self)
|
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@property
|
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cdef inline npy_intp* dimensions(self) noexcept nogil:
|
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"""The shape of the broadcasted result."""
|
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return PyArray_MultiIter_DIMS(self)
|
||
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||
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@property
|
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cdef inline void** iters(self) noexcept nogil:
|
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"""An array of iterator objects that holds the iterators for the arrays to be broadcast together.
|
||
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On return, the iterators are adjusted for broadcasting."""
|
||
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return PyArray_MultiIter_ITERS(self)
|
||
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|
||
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|
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|
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ctypedef struct PyArrayObject:
|
||
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# For use in situations where ndarray can't replace PyArrayObject*,
|
||
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# like PyArrayObject**.
|
||
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pass
|
||
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|
||
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ctypedef class numpy.ndarray [object PyArrayObject, check_size ignore]:
|
||
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cdef __cythonbufferdefaults__ = {"mode": "strided"}
|
||
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|
|
||
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# NOTE: no field declarations since direct access is deprecated since NumPy 1.7
|
||
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# Instead, we use properties that map to the corresponding C-API functions.
|
||
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|
|
||
|
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@property
|
||
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cdef inline PyObject* base(self) noexcept nogil:
|
||
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"""Returns a borrowed reference to the object owning the data/memory.
|
||
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"""
|
||
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return PyArray_BASE(self)
|
||
|
|
|
||
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@property
|
||
|
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cdef inline dtype descr(self):
|
||
|
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"""Returns an owned reference to the dtype of the array.
|
||
|
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"""
|
||
|
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return <dtype>PyArray_DESCR(self)
|
||
|
|
|
||
|
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@property
|
||
|
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cdef inline int ndim(self) noexcept nogil:
|
||
|
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"""Returns the number of dimensions in the array.
|
||
|
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"""
|
||
|
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return PyArray_NDIM(self)
|
||
|
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|
||
|
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@property
|
||
|
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cdef inline npy_intp *shape(self) noexcept nogil:
|
||
|
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"""Returns a pointer to the dimensions/shape of the array.
|
||
|
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The number of elements matches the number of dimensions of the array (ndim).
|
||
|
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Can return NULL for 0-dimensional arrays.
|
||
|
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"""
|
||
|
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return PyArray_DIMS(self)
|
||
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|
||
|
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@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)
|