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Diffstat (limited to 'numpy/_typing/_scalars.py')
-rw-r--r-- | numpy/_typing/_scalars.py | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/numpy/_typing/_scalars.py b/numpy/_typing/_scalars.py new file mode 100644 index 000000000..516b996dc --- /dev/null +++ b/numpy/_typing/_scalars.py @@ -0,0 +1,30 @@ +from typing import Union, Tuple, Any + +import numpy as np + +# NOTE: `_StrLike_co` and `_BytesLike_co` are pointless, as `np.str_` and +# `np.bytes_` are already subclasses of their builtin counterpart + +_CharLike_co = Union[str, bytes] + +# The 6 `<X>Like_co` type-aliases below represent all scalars that can be +# coerced into `<X>` (with the casting rule `same_kind`) +_BoolLike_co = Union[bool, np.bool_] +_UIntLike_co = Union[_BoolLike_co, np.unsignedinteger] +_IntLike_co = Union[_BoolLike_co, int, np.integer] +_FloatLike_co = Union[_IntLike_co, float, np.floating] +_ComplexLike_co = Union[_FloatLike_co, complex, np.complexfloating] +_TD64Like_co = Union[_IntLike_co, np.timedelta64] + +_NumberLike_co = Union[int, float, complex, np.number, np.bool_] +_ScalarLike_co = Union[ + int, + float, + complex, + str, + bytes, + np.generic, +] + +# `_VoidLike_co` is technically not a scalar, but it's close enough +_VoidLike_co = Union[Tuple[Any, ...], np.void] |