),
        ] = None,
        discriminator: Union[str, None] = None,
        strict: Union[bool, None] = _Unset,
        multiple_of: Union[float, None] = _Unset,
        allow_inf_nan: Union[bool, None] = _Unset,
        max_digits: Union[int, None] = _Unset,
        decimal_places: Union[int, None] = _Unset,
        examples: Optional[List[Any]] = None,
        example: Annotated[
            Optional[Any],

            If `True`, strict validation is applied to the field.
            """
        ),
    ] = _Unset,
    multiple_of: Annotated[
        Union[float, None],
        Doc(
            """
            Value must be a multiple of this. Only applicable to numbers.
            """
        ),
    ] = _Unset,
    allow_inf_nan: Annotated[
        Union[bool, None],
        Doc(
            """

    assert UploadFile.__get_pydantic_core_schema__(str, lambda x: None) == {}


@needs_pydanticv1
def test_union_scalar_list():
    # For coverage
    # TODO: there might not be a current valid code path that uses this, it would
    # potentially enable query parameters defined as both a scalar and a list
    # but that would require more refactors, also not sure it's really useful
    from fastapi._compat import is_pv1_scalar_field

Example: squash_testlogs.py /tf/pkg/testlogs /tf/pkg/merged.xml

Recursively find all the JUnit test.xml files in one directory, and merge any
of them that contain failures into one file. The TensorFlow DevInfra team
uses this to generate a simple overview of an entire pip and nonpip test
invocation, since the normal logs that Bazel creates are too large for the
internal invocation viewer.
"""
import collections
import os
import re

# Lazy-load Keras v2/3.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals()))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__
if _tf_uses_legacy_keras:

    assert jsonable_encoder(model) == {"foo": "foo", "bar": "bar", "bla": "bla"}
    assert jsonable_encoder(model, exclude_unset=True) == {"foo": "foo", "bar": "bar"}
    assert jsonable_encoder(model, exclude_defaults=True) == {"foo": "foo"}
    assert jsonable_encoder(model, exclude_unset=True, exclude_defaults=True) == {
        "foo": "foo"
    }
    assert jsonable_encoder(model, include={"foo"}) == {"foo": "foo"}

        encoding="utf-8",
    )


@app.command()
def verify_config() -> None:
    """
    Verify main mkdocs.yml content to make sure it uses the latest language names.
    """
    typer.echo("Verifying mkdocs.yml")
    config = get_en_config()
    updated_config = get_updated_config_content()
    if config != updated_config:
        typer.secho(

    y: str = "y"
    z: str = "z"


@app.get("/", response_model=Model, response_model_exclude_unset=True)
def get_root() -> ModelSubclass:
    return ModelSubclass(sub={}, y=1, z=0)


@app.get(
    "/exclude_unset", response_model=ModelDefaults, response_model_exclude_unset=True
)
def get_exclude_unset() -> ModelDefaults:
    return ModelDefaults(x=None, y="y")


@app.get(
    "/exclude_defaults",

            response_model_include=response_model_include,
            response_model_exclude=response_model_exclude,
            response_model_by_alias=response_model_by_alias,
            response_model_exclude_unset=response_model_exclude_unset,
            response_model_exclude_defaults=response_model_exclude_defaults,
            response_model_exclude_none=response_model_exclude_none,
            include_in_schema=include_in_schema,

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__
if _tf_uses_legacy_keras: