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26.1.0
src/attr/validators.pyi
140 строк
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Finite State Machine
Fix `optional` validator to accept tuples of len > 1 (#1496)
14 мар 2026, 16:04
Не верифицирован
14 мар 2026, 16:04
eccd966
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from types import UnionType from typing import ( Any, AnyStr, Callable, Container, ContextManager, Iterable, Mapping, Match, Pattern, TypeVar, overload, ) from attrs import _ValidatorType from attrs import _ValidatorArgType _T = TypeVar("_T") _T1 = TypeVar("_T1") _T2 = TypeVar("_T2") _T3 = TypeVar("_T3") _T4 = TypeVar("_T4") _T5 = TypeVar("_T5") _T6 = TypeVar("_T6") _I = TypeVar("_I", bound=Iterable) _K = TypeVar("_K") _V = TypeVar("_V") _M = TypeVar("_M", bound=Mapping) def set_disabled(run: bool) -> None: ... def get_disabled() -> bool: ... def disabled() -> ContextManager[None]: ... # To be more precise on instance_of use some overloads. # If there are more than 3 items in the tuple then we fall back to Any @overload def instance_of(type: type[_T]) -> _ValidatorType[_T]: ... @overload def instance_of(type: tuple[type[_T]]) -> _ValidatorType[_T]: ... @overload def instance_of( type: tuple[type[_T1], type[_T2]], ) -> _ValidatorType[_T1 | _T2]: ... @overload def instance_of( type: tuple[type[_T1], type[_T2], type[_T3]], ) -> _ValidatorType[_T1 | _T2 | _T3]: ... @overload def instance_of(type: tuple[type, ...]) -> _ValidatorType[Any]: ... @overload def instance_of(type: UnionType) -> _ValidatorType[Any]: ... def optional( validator: ( _ValidatorType[_T] | list[_ValidatorType[_T]] | tuple[_ValidatorType[_T], ...] ), ) -> _ValidatorType[_T | None]: ... def in_(options: Container[_T]) -> _ValidatorType[_T]: ... def and_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ... def matches_re( regex: Pattern[AnyStr] | AnyStr, flags: int = ..., func: Callable[[AnyStr, AnyStr, int], Match[AnyStr] | None] | None = ..., ) -> _ValidatorType[AnyStr]: ... def deep_iterable( member_validator: _ValidatorArgType[_T], iterable_validator: _ValidatorArgType[_I] | None = ..., ) -> _ValidatorType[_I]: ... @overload def deep_mapping( key_validator: _ValidatorArgType[_K], value_validator: _ValidatorArgType[_V] | None = ..., mapping_validator: _ValidatorArgType[_M] | None = ..., ) -> _ValidatorType[_M]: ... @overload def deep_mapping( key_validator: _ValidatorArgType[_K] | None = ..., value_validator: _ValidatorArgType[_V] = ..., mapping_validator: _ValidatorArgType[_M] | None = ..., ) -> _ValidatorType[_M]: ... def is_callable() -> _ValidatorType[_T]: ... def lt(val: _T) -> _ValidatorType[_T]: ... def le(val: _T) -> _ValidatorType[_T]: ... def ge(val: _T) -> _ValidatorType[_T]: ... def gt(val: _T) -> _ValidatorType[_T]: ... def max_len(length: int) -> _ValidatorType[_T]: ... def min_len(length: int) -> _ValidatorType[_T]: ... def not_( validator: _ValidatorType[_T], *, msg: str | None = None, exc_types: type[Exception] | Iterable[type[Exception]] = ..., ) -> _ValidatorType[_T]: ... @overload def or_( __v1: _ValidatorType[_T1], __v2: _ValidatorType[_T2], ) -> _ValidatorType[_T1 | _T2]: ... @overload def or_( __v1: _ValidatorType[_T1], __v2: _ValidatorType[_T2], __v3: _ValidatorType[_T3], ) -> _ValidatorType[_T1 | _T2 | _T3]: ... @overload def or_( __v1: _ValidatorType[_T1], __v2: _ValidatorType[_T2], __v3: _ValidatorType[_T3], __v4: _ValidatorType[_T4], ) -> _ValidatorType[_T1 | _T2 | _T3 | _T4]: ... @overload def or_( __v1: _ValidatorType[_T1], __v2: _ValidatorType[_T2], __v3: _ValidatorType[_T3], __v4: _ValidatorType[_T4], __v5: _ValidatorType[_T5], ) -> _ValidatorType[_T1 | _T2 | _T3 | _T4 | _T5]: ... @overload def or_( __v1: _ValidatorType[_T1], __v2: _ValidatorType[_T2], __v3: _ValidatorType[_T3], __v4: _ValidatorType[_T4], __v5: _ValidatorType[_T5], __v6: _ValidatorType[_T6], ) -> _ValidatorType[_T1 | _T2 | _T3 | _T4 | _T5 | _T6]: ... @overload def or_( __v1: _ValidatorType[Any], __v2: _ValidatorType[Any], __v3: _ValidatorType[Any], __v4: _ValidatorType[Any], __v5: _ValidatorType[Any], __v6: _ValidatorType[Any], *validators: _ValidatorType[Any], ) -> _ValidatorType[Any]: ...