return HTTPAuthorizationCredentials(scheme=scheme, credentials=credentials)


class HTTPBasic(HTTPBase):
    """
    HTTP Basic authentication.

    ## Usage

    Create an instance object and use that object as the dependency in `Depends()`.

    The dependency result will be an `HTTPBasicCredentials` object containing the
    `username` and the `password`.

    Read more about it in the

            scope=scope,
            client_id=client_id,
            client_secret=client_secret,
        )


class OAuth2(SecurityBase):
    """
    This is the base class for OAuth2 authentication, an instance of it would be used
    as a dependency. All other OAuth2 classes inherit from it and customize it for
    each OAuth2 flow.

    You normally would not create a new class inheriting from it but use one of the

_STS_NS = {'sts': 'https://sts.amazonaws.com/doc/2011-06-15/'}


class STSElement(object):
    """STS aware XML parsing class. Wraps a root element name and
    cElementTree.Element instance. Provides STS namespace aware parsing
    functions.

    """

    def __init__(self, root_name, element):
        self.root_name = root_name
        self.element = element

    @classmethod

from fastapi.dependencies.utils import (
    multipart_incorrect_install_error,
    multipart_not_installed_error,
)


def test_incorrect_multipart_installed_form(monkeypatch):
    monkeypatch.delattr("multipart.multipart.parse_options_header", raising=False)
    with pytest.raises(RuntimeError, match=multipart_incorrect_install_error):
        app = FastAPI()

        @app.post("/")

        pass

    class MyModel(BaseModel):
        dt_field: safe_datetime

    instance = MyModel(dt_field=safe_datetime.now())

    encoded_instance = jsonable_encoder(
        instance, custom_encoder={safe_datetime: lambda o: o.isoformat()}
    )
    assert encoded_instance["dt_field"] == instance.dt_field.isoformat()


def test_custom_enum_encoders():
    def custom_enum_encoder(v: Enum):

    the key value sent in the query parameter automatically and provides it as the
    dependency result. But it doesn't define how to send that API key to the client.

    ## Usage

    Create an instance object and use that object as the dependency in `Depends()`.

    The dependency result will be a string containing the key value.

    ## Example

    ```python
    from fastapi import Depends, FastAPI

    'You can install "python-multipart" with: \n\n'
    "pip install python-multipart\n"
)
multipart_incorrect_install_error = (
    'Form data requires "python-multipart" to be installed. '
    'It seems you installed "multipart" instead. \n'
    'You can remove "multipart" with: \n\n'
    "pip uninstall multipart\n\n"
    'And then install "python-multipart" with: \n\n'

                "To install, run: pip install email-validator"
            )
            return str(v)

        @classmethod
        def _validate(cls, __input_value: Any, _: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in

                This is simply inherited from Starlette.

                Read more about it in the
                [Starlette docs for Applications](https://www.starlette.io/applications/#storing-state-on-the-app-instance).
                """
            ),
        ] = State()
        self.dependency_overrides: Annotated[
            Dict[Callable[..., Any], Callable[..., Any]],
            Doc(
                """