1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
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]
|
|
