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array_api.py
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"""
The list of data API operations for sharpy, a
distributed implementation of the array API as defined here:
https://data-apis.org/array-api/latest
"""
from collections import OrderedDict
api_categories = OrderedDict(
{
"DType": [
"float32",
"float64",
"int8",
"int16",
"int32",
"int64",
"uint8",
"uint16",
"uint32",
"uint64",
"bool",
],
"Creator": [
"arange", # (start, /, stop=None, step=1, *,
# dtype=None, device=None)
"asarray", # (obj, /, *, dtype=None, device=None, copy=None)
"empty",
"empty_like", # (x, /, *, dtype=None, device=None)
"eye", # (n_rows, n_cols=None, /, *, k=0, dtype=None, device=None)
"from_dlpack", # (x, /)
"full",
"full_like", # (x, /, fill_value, *, dtype=None, device=None)
"linspace", # (start, stop, /, num, *, dtype=None, device=None,
# endpoint=True)
"meshgrid", # (*arrays, indexing=’xy’)
"ones",
"ones_like", # (x, /, *, dtype=None, device=None)
"zeros",
"zeros_like", # (x, /, *, dtype=None, device=None)
],
"UnyOp": [
"__array_namespace__", # (self, /, *, api_version=None)
"__bool__", # (self, /)
"__dlpack__", # (self, /, *, stream=None)
"__dlpack_device__", # (self, /)
"__float__", # (self, /)
"__int__", # (self, /)
"__index__",
"__len__", # (self, /)
],
"EWUnyOp": [
"__abs__", # (self, /)
"__invert__", # (self, /)
"__neg__", # (self, /)
"__pos__", # (self, /)
"abs", # (x, /)
"acos", # (x, /)
"acosh", # (x, /)
"asin", # (x, /)
"asinh", # (x, /)
"atan", # (x, /)
"atanh", # (x, /)
"bitwise_invert", # (x, /)
"ceil", # (x, /)
"cos", # (x, /)
"cosh", # (x, /)
"exp", # (x, /)
"expm1", # (x, /)
"floor", # (x, /)
"isfinite", # (x, /)
"isinf", # (x, /)
"isnan", # (x, /)
"logical_not", # (x, /)
"log", # (x, /)
"log1p", # (x, /)
"log2", # (x, /)
"log10", # (x, /)
"negative", # (x, /)
"positive", # (x, /)
"round", # (x, /)
"sign", # (x, /)
"sin", # (x, /)
"sinh", # (x, /)
"square", # (x, /)
"sqrt", # (x, /)
"tan", # (x, /)
"tanh", # (x, /)
"trunc", # (x, /)
# non standard from here
"erf", # (x, /)
],
"IEWBinOp": [
# inplace operators
"__iadd__",
"__iand__",
"__ifloordiv__",
"__ilshift__",
"__imod__",
"__imul__",
"__ior__",
"__ipow__",
"__irshift__",
"__isub__",
"__itruediv__",
"__ixor__",
],
"EWBinOp": [
"__add__", # (self, other, /)
"__and__", # (self, other, /)
"__eq__", # (self, other, /)
"__floordiv__", # (self, other, /)
"__ge__", # (self, other, /)
"__gt__", # (self, other, /)
"__le__", # (self, other, /)
"__lshift__", # (self, other, /)
"__lt__", # (self, other, /)
"__matmul__", # (self, other, /)
"__mod__", # (self, other, /)
"__mul__", # (self, other, /)
"__ne__", # (self, other, /)
"__or__", # (self, other, /)
"__pow__", # (self, other, /)
"__rshift__", # (self, other, /)
"__sub__", # (self, other, /)
"__truediv__", # (self, other, /)
"__xor__", # (self, other, /)
# reflected operators
"__radd__",
"__rand__",
"__rfloordiv__",
"__rlshift__",
"__rmod__",
"__rmul__",
"__ror__",
"__rpow__",
"__rrshift__",
"__rsub__",
"__rtruediv__",
"__rxor__",
"add", # (x1, x2, /)
"atan2", # (x1, x2, /)
"bitwise_and", # (x1, x2, /)
"bitwise_left_shift", # (x1, x2, /)
"bitwise_or", # (x1, x2, /)
"bitwise_right_shift", # (x1, x2, /)
"bitwise_xor", # (x1, x2, /)
"divide", # (x1, x2, /)
"equal", # (x1, x2, /)
"floor_divide", # (x1, x2, /)
"greater", # (x1, x2, /)
"greater_equal", # (x1, x2, /)
"less_equal", # (x1, x2, /)
"logaddexp", # (x1, x2)
"logical_and", # (x1, x2, /)
"logical_or", # (x1, x2, /)
"logical_xor", # (x1, x2, /)
"multiply", # (x1, x2, /)
"less", # (x1, x2, /)
"not_equal", # (x1, x2, /)
"pow", # (x1, x2, /)
"remainder", # (x1, x2, /)
"subtract", # (x1, x2, /)
],
"ReduceOp": [
"max", # (x, /, *, axis=None, keepdims=False)
"mean", # (x, /, *, axis=None, keepdims=False)
"min", # (x, /, *, axis=None, keepdims=False)
"prod", # (x, /, *, axis=None, keepdims=False)
"sum", # (x, /, *, axis=None, keepdims=False)
"std", # (x, /, *, axis=None, correction=0.0, keepdims=False)
"var", # (x, /, *, axis=None, correction=0.0, keepdims=False)
],
"ManipOp": [
"concat", # (arrays, /, *, axis=0)
"expand_dims", # (x, /, *, axis)
"flip", # (x, /, *, axis=None)
"reshape", # (x, /, shape, *, copy: bool | None = None)
"roll", # (x, /, shift, *, axis=None)
"squeeze", # (x, /, axis)
"stack", # (arrays, /, *, axis=0)
"permute_dims", # (x: array, /, axes: Tuple[int, ...]) → array
],
"LinAlgOp": [
"matmul", # (x1, x2, /)
"matrix_transpose", # (x, /)
"tensordot", # (x1, x2, /, *, axes=2)
"vecdot", # (x1, x2, /, *, axis=-1)
],
}
)
misc_methods = [
"__getitem__",
"__setitem__",
]
attributes = ["dtype", "shape", "device", "ndim", "size", "T"]