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�d'|�d(|�d)|�d*|�d+|�d,|�d-|�d.|�d/|�d0|�d1|�d2|�d3|�d4|�d5|�d6| �d7|�d8|�d9|�d:|!�d;|"��S)<a�Usage docs: https://docs.pydantic.dev/2.10/concepts/fields

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    Used to provide extra information about a field, either for the model schema or complex validation. Some arguments
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    Note:
        - Any `_Unset` objects will be replaced by the corresponding value defined in the `_DefaultValues` dictionary. If a key for the `_Unset` object is not found in the `_DefaultValues` dictionary, it will default to `None`

    Args:
        default: Default value if the field is not set.
        default_factory: A callable to generate the default value. The callable can either take 0 arguments
            (in which case it is called as is) or a single argument containing the already validated data.
        alias: The name to use for the attribute when validating or serializing by alias.
            This is often used for things like converting between snake and camel case.
        alias_priority: Priority of the alias. This affects whether an alias generator is used.
        validation_alias: Like `alias`, but only affects validation, not serialization.
        serialization_alias: Like `alias`, but only affects serialization, not validation.
        title: Human-readable title.
        field_title_generator: A callable that takes a field name and returns title for it.
        description: Human-readable description.
        examples: Example values for this field.
        exclude: Whether to exclude the field from the model serialization.
        discriminator: Field name or Discriminator for discriminating the type in a tagged union.
        deprecated: A deprecation message, an instance of `warnings.deprecated` or the `typing_extensions.deprecated` backport,
            or a boolean. If `True`, a default deprecation message will be emitted when accessing the field.
        json_schema_extra: A dict or callable to provide extra JSON schema properties.
        frozen: Whether the field is frozen. If true, attempts to change the value on an instance will raise an error.
        validate_default: If `True`, apply validation to the default value every time you create an instance.
            Otherwise, for performance reasons, the default value of the field is trusted and not validated.
        repr: A boolean indicating whether to include the field in the `__repr__` output.
        init: Whether the field should be included in the constructor of the dataclass.
            (Only applies to dataclasses.)
        init_var: Whether the field should _only_ be included in the constructor of the dataclass.
            (Only applies to dataclasses.)
        kw_only: Whether the field should be a keyword-only argument in the constructor of the dataclass.
            (Only applies to dataclasses.)
        coerce_numbers_to_str: Whether to enable coercion of any `Number` type to `str` (not applicable in `strict` mode).
        strict: If `True`, strict validation is applied to the field.
            See [Strict Mode](../concepts/strict_mode.md) for details.
        gt: Greater than. If set, value must be greater than this. Only applicable to numbers.
        ge: Greater than or equal. If set, value must be greater than or equal to this. Only applicable to numbers.
        lt: Less than. If set, value must be less than this. Only applicable to numbers.
        le: Less than or equal. If set, value must be less than or equal to this. Only applicable to numbers.
        multiple_of: Value must be a multiple of this. Only applicable to numbers.
        min_length: Minimum length for iterables.
        max_length: Maximum length for iterables.
        pattern: Pattern for strings (a regular expression).
        allow_inf_nan: Allow `inf`, `-inf`, `nan`. Only applicable to numbers.
        max_digits: Maximum number of allow digits for strings.
        decimal_places: Maximum number of decimal places allowed for numbers.
        union_mode: The strategy to apply when validating a union. Can be `smart` (the default), or `left_to_right`.
            See [Union Mode](../concepts/unions.md#union-modes) for details.
        fail_fast: If `True`, validation will stop on the first error. If `False`, all validation errors will be collected.
            This option can be applied only to iterable types (list, tuple, set, and frozenset).
        extra: (Deprecated) Extra fields that will be included in the JSON schema.

            !!! warning Deprecated
                The `extra` kwargs is deprecated. Use `json_schema_extra` instead.

    Returns:
        A new [`FieldInfo`][pydantic.fields.FieldInfo]. The return annotation is `Any` so `Field` can be used on
            type-annotated fields without causing a type error.
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������������������� �!�"�#�c@sVeZdZdZdZefdd�ddd�Zejsddd�Z	ddd�Z
ddd�Zd dd�ZdS)!�ModelPrivateAttra�A descriptor for private attributes in class models.

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    Attributes:
        default: The default value of the attribute if not provided.
        default_factory: A callable function that generates the default value of the
            attribute if not provided.
    )rir.N�r.rirr.�typing.Callable[[], Any] | NonerrrscCs |turt|_n||_||_dSr})r�r
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        Returns:
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    Indicates that an attribute is intended for private use and not handled during normal validation/serialization.

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    Private attributes are stored in `__private_attributes__` on the model.

    Args:
        default: The attribute's default value. Defaults to Undefined.
        default_factory: Callable that will be
            called when a default value is needed for this attribute.
            If both `default` and `default_factory` are set, an error will be raised.
        init: Whether the attribute should be included in the constructor of the dataclass. Always `False`.

    Returns:
        An instance of [`ModelPrivateAttr`][pydantic.fields.ModelPrivateAttr] class.

    Raises:
        ValueError: If both `default` and `default_factory` are set.
    Nr|r)r
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<ded<d	ed<ded<ded<ded<ded<eddd��ZdS)�ComputedFieldInfoa4A container for data from `@computed_field` so that we can access it while building the pydantic-core schema.

    Attributes:
        decorator_repr: A class variable representing the decorator string, '@computed_field'.
        wrapped_property: The wrapped computed field property.
        return_type: The type of the computed field property's return value.
        alias: The alias of the property to be used during serialization.
        alias_priority: The priority of the alias. This affects whether an alias generator is used.
        title: Title of the computed field to include in the serialization JSON schema.
        field_title_generator: A callable that takes a field name and returns title for it.
        description: Description of the computed field to include in the serialization JSON schema.
        deprecated: A deprecation message, an instance of `warnings.deprecated` or the `typing_extensions.deprecated` backport,
            or a boolean. If `True`, a default deprecation message will be emitted when accessing the field.
        examples: Example values of the computed field to include in the serialization JSON schema.
        json_schema_extra: A dict or callable to provide extra JSON schema properties.
        repr: A boolean indicating whether to include the field in the __repr__ output.
    z@computed_fieldz
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dd�}|dur|S||�S)a#Usage docs: https://docs.pydantic.dev/2.10/concepts/fields#the-computed_field-decorator

    Decorator to include `property` and `cached_property` when serializing models or dataclasses.

    This is useful for fields that are computed from other fields, or for fields that are expensive to compute and should be cached.

    ```python
    from pydantic import BaseModel, computed_field

    class Rectangle(BaseModel):
        width: int
        length: int

        @computed_field
        @property
        def area(self) -> int:
            return self.width * self.length

    print(Rectangle(width=3, length=2).model_dump())
    #> {'width': 3, 'length': 2, 'area': 6}
    ```

    If applied to functions not yet decorated with `@property` or `@cached_property`, the function is
    automatically wrapped with `property`. Although this is more concise, you will lose IntelliSense in your IDE,
    and confuse static type checkers, thus explicit use of `@property` is recommended.

    !!! warning "Mypy Warning"
        Even with the `@property` or `@cached_property` applied to your function before `@computed_field`,
        mypy may throw a `Decorated property not supported` error.
        See [mypy issue #1362](https://github.com/python/mypy/issues/1362), for more information.
        To avoid this error message, add `# type: ignore[misc]` to the `@computed_field` line.

        [pyright](https://github.com/microsoft/pyright) supports `@computed_field` without error.

    ```python
    import random

    from pydantic import BaseModel, computed_field

    class Square(BaseModel):
        width: float

        @computed_field
        def area(self) -> float:  # converted to a `property` by `computed_field`
            return round(self.width**2, 2)

        @area.setter
        def area(self, new_area: float) -> None:
            self.width = new_area**0.5

        @computed_field(alias='the magic number', repr=False)
        def random_number(self) -> int:
            return random.randint(0, 1_000)

    square = Square(width=1.3)

    # `random_number` does not appear in representation
    print(repr(square))
    #> Square(width=1.3, area=1.69)

    print(square.random_number)
    #> 3

    square.area = 4

    print(square.model_dump_json(by_alias=True))
    #> {"width":2.0,"area":4.0,"the magic number":3}
    ```

    !!! warning "Overriding with `computed_field`"
        You can't override a field from a parent class with a `computed_field` in the child class.
        `mypy` complains about this behavior if allowed, and `dataclasses` doesn't allow this pattern either.
        See the example below:

    ```python
    from pydantic import BaseModel, computed_field

    class Parent(BaseModel):
        a: str

    try:

        class Child(Parent):
            @computed_field
            @property
            def a(self) -> str:
                return 'new a'

    except ValueError as e:
        print(repr(e))
        #> ValueError("you can't override a field with a computed field")
    ```

    Private properties decorated with `@computed_field` have `repr=False` by default.

    ```python
    from functools import cached_property

    from pydantic import BaseModel, computed_field

    class Model(BaseModel):
        foo: int

        @computed_field
        @cached_property
        def _private_cached_property(self) -> int:
            return -self.foo

        @computed_field
        @property
        def _private_property(self) -> int:
            return -self.foo

    m = Model(foo=1)
    print(repr(m))
    #> Model(foo=1)
    ```

    Args:
        func: the function to wrap.
        alias: alias to use when serializing this computed field, only used when `by_alias=True`
        alias_priority: priority of the alias. This affects whether an alias generator is used
        title: Title to use when including this computed field in JSON Schema
        field_title_generator: A callable that takes a field name and returns title for it.
        description: Description to use when including this computed field in JSON Schema, defaults to the function's
            docstring
        deprecated: A deprecation message (or an instance of `warnings.deprecated` or the `typing_extensions.deprecated` backport).
            to be emitted when accessing the field. Or a boolean. This will automatically be set if the property is decorated with the
            `deprecated` decorator.
        examples: Example values to use when including this computed field in JSON Schema
        json_schema_extra: A dict or callable to provide extra JSON schema properties.
        repr: whether to include this computed field in model repr.
            Default is `False` for private properties and `True` for public properties.
        return_type: optional return for serialization logic to expect when serializing to JSON, if included
            this must be correct, otherwise a `TypeError` is raised.
            If you don't include a return type Any is used, which does runtime introspection to handle arbitrary
            objects.

    Returns:
        A proxy wrapper for the property.
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