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Update to Ruff 0.4.8 (pydantic#9585)
Co-authored-by: sydney-runkle <[email protected]>
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‎pdm.lock

+19-19
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‎pydantic/_internal/_dataclasses.py

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"""Private logic for creating pydantic dataclasses."""
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from __future__ import annotations as _annotations
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import dataclasses

‎pydantic/_internal/_decorators.py

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"""Logic related to validators applied to models etc. via the `@field_validator` and `@model_validator` decorators."""
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from __future__ import annotations as _annotations
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from collections import deque

‎pydantic/_internal/_decorators_v1.py

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"""Logic for V1 validators, e.g. `@validator` and `@root_validator`."""
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from __future__ import annotations as _annotations
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from inspect import Parameter, signature
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class V1OnlyValueValidator(Protocol):
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"""A simple validator, supported for V1 validators and V2 validators."""
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def __call__(self, __value: Any) -> Any:
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...
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def __call__(self, __value: Any) -> Any: ...
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class V1ValidatorWithValues(Protocol):
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"""A validator with `values` argument, supported for V1 validators and V2 validators."""
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def __call__(self, __value: Any, values: dict[str, Any]) -> Any:
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...
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def __call__(self, __value: Any, values: dict[str, Any]) -> Any: ...
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class V1ValidatorWithValuesKwOnly(Protocol):
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"""A validator with keyword only `values` argument, supported for V1 validators and V2 validators."""
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def __call__(self, __value: Any, *, values: dict[str, Any]) -> Any:
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...
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def __call__(self, __value: Any, *, values: dict[str, Any]) -> Any: ...
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class V1ValidatorWithKwargs(Protocol):
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"""A validator with `kwargs` argument, supported for V1 validators and V2 validators."""
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def __call__(self, __value: Any, **kwargs: Any) -> Any:
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...
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def __call__(self, __value: Any, **kwargs: Any) -> Any: ...
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class V1ValidatorWithValuesAndKwargs(Protocol):
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"""A validator with `values` and `kwargs` arguments, supported for V1 validators and V2 validators."""
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def __call__(self, __value: Any, values: dict[str, Any], **kwargs: Any) -> Any:
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def __call__(self, __value: Any, values: dict[str, Any], **kwargs: Any) -> Any: ...
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V1Validator = Union[
@@ -117,24 +113,21 @@ def wrapper2(value: Any, _: core_schema.ValidationInfo) -> Any:
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class V1RootValidatorFunction(Protocol):
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"""A simple root validator, supported for V1 validators and V2 validators."""
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def __call__(self, __values: RootValidatorValues) -> RootValidatorValues:
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...
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def __call__(self, __values: RootValidatorValues) -> RootValidatorValues: ...
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class V2CoreBeforeRootValidator(Protocol):
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"""V2 validator with mode='before'."""
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def __call__(self, __values: RootValidatorValues, __info: core_schema.ValidationInfo) -> RootValidatorValues:
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...
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def __call__(self, __values: RootValidatorValues, __info: core_schema.ValidationInfo) -> RootValidatorValues: ...
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class V2CoreAfterRootValidator(Protocol):
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"""V2 validator with mode='after'."""
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def __call__(
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self, __fields_tuple: RootValidatorFieldsTuple, __info: core_schema.ValidationInfo
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) -> RootValidatorFieldsTuple:
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...
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) -> RootValidatorFieldsTuple: ...
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def make_v1_generic_root_validator(

‎pydantic/_internal/_docs_extraction.py

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"""Utilities related to attribute docstring extraction."""
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from __future__ import annotations
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import ast

‎pydantic/_internal/_fields.py

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"""Private logic related to fields (the `Field()` function and `FieldInfo` class), and arguments to `Annotated`."""
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from __future__ import annotations as _annotations
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import dataclasses

‎pydantic/_internal/_generate_schema.py

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"""Convert python types to pydantic-core schema."""
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from __future__ import annotations as _annotations
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import collections.abc
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return obj
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@overload
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def _get_args_resolving_forward_refs(self, obj: Any, required: Literal[True]) -> tuple[Any, ...]:
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...
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def _get_args_resolving_forward_refs(self, obj: Any, required: Literal[True]) -> tuple[Any, ...]: ...
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@overload
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def _get_args_resolving_forward_refs(self, obj: Any) -> tuple[Any, ...] | None:
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def _get_args_resolving_forward_refs(self, obj: Any) -> tuple[Any, ...] | None: ...
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def _get_args_resolving_forward_refs(self, obj: Any, required: bool = False) -> tuple[Any, ...] | None:
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args = get_args(obj)

‎pydantic/_internal/_generics.py

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if TYPE_CHECKING:
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class LimitedDict(dict, MutableMapping[KT, VT]):
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def __init__(self, size_limit: int = _LIMITED_DICT_SIZE):
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def __init__(self, size_limit: int = _LIMITED_DICT_SIZE): ...
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else:
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‎pydantic/_internal/_git.py

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"""Git utilities, adopted from mypy's git utilities (https://github.com/python/mypy/blob/master/mypy/git.py)."""
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from __future__ import annotations
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import os

‎pydantic/_internal/_model_construction.py

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"""Private logic for creating models."""
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from __future__ import annotations as _annotations
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import builtins

‎pydantic/_internal/_repr.py

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"""Tools to provide pretty/human-readable display of objects."""
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from __future__ import annotations as _annotations
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import types

‎pydantic/_internal/_schema_generation_shared.py

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"""Types and utility functions used by various other internal tools."""
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from __future__ import annotations
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from typing import TYPE_CHECKING, Any, Callable

‎pydantic/_internal/_std_types_schema.py

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Import of this module is deferred since it contains imports of many standard library modules.
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"""
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from __future__ import annotations as _annotations
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import collections

‎pydantic/_internal/_typing_extra.py

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"""Logic for interacting with type annotations, mostly extensions, shims and hacks to wrap python's typing module."""
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from __future__ import annotations as _annotations
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import dataclasses

‎pydantic/_internal/_utils.py

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This should be reduced as much as possible with functions only used in one place, moved to that place.
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"""
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from __future__ import annotations as _annotations
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import dataclasses
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if typing.TYPE_CHECKING:
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def ClassAttribute(name: str, value: T) -> T:
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def ClassAttribute(name: str, value: T) -> T: ...
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else:
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‎pydantic/alias_generators.py

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"""Alias generators for converting between different capitalization conventions."""
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import re
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__all__ = ('to_pascal', 'to_camel', 'to_snake')

‎pydantic/aliases.py

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"""Support for alias configurations."""
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from __future__ import annotations
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import dataclasses

‎pydantic/annotated_handlers.py

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"""Type annotations to use with `__get_pydantic_core_schema__` and `__get_pydantic_json_schema__`."""
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from __future__ import annotations as _annotations
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from typing import TYPE_CHECKING, Any, Union

‎pydantic/class_validators.py

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"""`class_validators` module is a backport module from V1."""
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from ._migration import getattr_migration
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__getattr__ = getattr_migration(__name__)

‎pydantic/color.py

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See [`pydantic-extra-types.Color`](../usage/types/extra_types/color_types.md)
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for more information.
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"""
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import math
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import re
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from colorsys import hls_to_rgb, rgb_to_hls

‎pydantic/config.py

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"""Configuration for Pydantic models."""
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from __future__ import annotations as _annotations
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from typing import TYPE_CHECKING, Any, Callable, Dict, List, Type, TypeVar, Union

‎pydantic/dataclasses.py

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"""Provide an enhanced dataclass that performs validation."""
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from __future__ import annotations as _annotations
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import dataclasses
@@ -56,8 +57,7 @@ def dataclass(
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validate_on_init: bool | None = None,
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kw_only: bool = ...,
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slots: bool = ...,
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) -> type[PydanticDataclass]:
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) -> type[PydanticDataclass]: ...
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else:
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@@ -89,8 +89,7 @@ def dataclass(
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frozen: bool = False,
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config: ConfigDict | type[object] | None = None,
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validate_on_init: bool | None = None,
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) -> type[PydanticDataclass]:
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) -> type[PydanticDataclass]: ...
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@dataclass_transform(field_specifiers=(dataclasses.field, Field, PrivateAttr))

‎pydantic/datetime_parse.py

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"""The `datetime_parse` module is a backport module from V1."""
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from ._migration import getattr_migration
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__getattr__ = getattr_migration(__name__)

‎pydantic/decorator.py

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"""The `decorator` module is a backport module from V1."""
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__getattr__ = getattr_migration(__name__)

‎pydantic/deprecated/class_validators.py

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if TYPE_CHECKING:
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class _OnlyValueValidatorClsMethod(Protocol):
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def __call__(self, __cls: Any, __value: Any) -> Any:
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def __call__(self, __cls: Any, __value: Any) -> Any: ...
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class _V1ValidatorWithValuesClsMethod(Protocol):
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def __call__(self, __cls: Any, __value: Any, values: dict[str, Any]) -> Any:
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def __call__(self, __cls: Any, __value: Any, values: dict[str, Any]) -> Any: ...
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class _V1ValidatorWithValuesKwOnlyClsMethod(Protocol):
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def __call__(self, __cls: Any, __value: Any, *, values: dict[str, Any]) -> Any:
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def __call__(self, __cls: Any, __value: Any, *, values: dict[str, Any]) -> Any: ...
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class _V1ValidatorWithKwargsClsMethod(Protocol):
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def __call__(self, __cls: Any, **kwargs: Any) -> Any:
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def __call__(self, __cls: Any, **kwargs: Any) -> Any: ...
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class _V1ValidatorWithValuesAndKwargsClsMethod(Protocol):
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def __call__(self, __cls: Any, values: dict[str, Any], **kwargs: Any) -> Any:
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def __call__(self, __cls: Any, values: dict[str, Any], **kwargs: Any) -> Any: ...
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class _V1RootValidatorClsMethod(Protocol):
4237
def __call__(
4338
self, __cls: Any, __values: _decorators_v1.RootValidatorValues
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) -> _decorators_v1.RootValidatorValues:
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) -> _decorators_v1.RootValidatorValues: ...
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V1Validator = Union[
4842
_OnlyValueValidatorClsMethod,
@@ -171,8 +165,7 @@ def root_validator(
171165
) -> Callable[
172166
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_V1RootValidatorFunctionType,
174-
]:
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]: ...
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@overload
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185178
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[_V1RootValidatorFunctionType],
187180
_V1RootValidatorFunctionType,
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]:
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]: ...
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@overload
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200192
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201193
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202194
_V1RootValidatorFunctionType,
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]:
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]: ...
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@deprecated(

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