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
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
import sys
from typing import TYPE_CHECKING, AbstractSet, Any # noqa: F401
from typing import Callable as TypingCallable
from typing import Dict, Iterable, Mapping, Tuple, Type, TypeVar, Union # noqa: F401
from pydantic.v1.typing import is_classvar, resolve_annotations # noqa: F401
from pydantic.v1.utils import lenient_issubclass
if sys.version_info < (3, 11):
from typing_extensions import dataclass_transform
else:
from typing import dataclass_transform # noqa: F401
if sys.version_info < (3, 10):
from typing_extensions import TypeAlias
else:
from typing import TypeAlias
if sys.version_info < (3, 9):
from typing import _GenericAlias as GenericAlias # noqa: F401
# Even if get_args and get_origin are available in typing, it's important to
# import them from typing_extensions to have proper origins with Annotated fields
from typing_extensions import Annotated, get_args, get_origin
else:
from typing import GenericAlias # type: ignore # noqa: F401
from typing import Annotated, get_args, get_origin # noqa: F401
if TYPE_CHECKING:
NoArgAnyCallable: TypeAlias = TypingCallable[[], Any]
ReprArgs: TypeAlias = "Iterable[tuple[str | None, Any]]"
AbstractSetIntStr: TypeAlias = "AbstractSet[int] | AbstractSet[str]"
MappingIntStrAny: TypeAlias = "Mapping[int, Any] | Mapping[str, Any]"
DictStrAny: TypeAlias = Dict[str, Any]
IncEx: TypeAlias = "set[int] | set[str] | dict[int, Any] | dict[str, Any] | None"
def is_type_argument_subclass(
type_: Type, class_or_tuple: Union[Type[Any], Tuple[Type[Any], ...]]
) -> bool:
args = get_args(type_)
return any(lenient_issubclass(arg, class_or_tuple) for arg in args)
T = TypeVar("T")
def get_first_type_argument_subclassing(
type_: Type, cls: Type[T]
) -> Union[Type[T], None]:
args: Tuple[Type, ...] = get_args(type_)
for arg in args:
if lenient_issubclass(arg, cls):
return arg
return None
|
