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- from typing import Any, TypeAlias
- 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: TypeAlias = 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: TypeAlias = bool | np.bool
- _UIntLike_co: TypeAlias = np.unsignedinteger[Any] | _BoolLike_co
- _IntLike_co: TypeAlias = int | np.integer[Any] | _BoolLike_co
- _FloatLike_co: TypeAlias = float | np.floating[Any] | _IntLike_co
- _ComplexLike_co: TypeAlias = (
- complex
- | np.complexfloating[Any, Any]
- | _FloatLike_co
- )
- _TD64Like_co: TypeAlias = np.timedelta64 | _IntLike_co
- _NumberLike_co: TypeAlias = int | float | complex | np.number[Any] | np.bool
- _ScalarLike_co: TypeAlias = int | float | complex | str | bytes | np.generic
- # `_VoidLike_co` is technically not a scalar, but it's close enough
- _VoidLike_co: TypeAlias = tuple[Any, ...] | np.void
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