]
        }
    )


@needs_py39
def test_get_invalid_one_header_items(client: TestClient):
    response = client.get("/items/", headers={"X-Token": "invalid"})
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Token header invalid"}


@needs_py39
def test_get_invalid_one_users(client: TestClient):

                    "msg": "field required",
                    "type": "value_error.missing",
                },
            ]
        }
    )


@needs_py39
def test_get_invalid_one_header(client: TestClient):
    response = client.get("/items/", headers={"X-Token": "invalid"})
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Token header invalid"}

    if origin is Union or origin is UnionType:
        at_least_one_scalar_sequence = False
        for arg in get_args(annotation):
            if field_annotation_is_scalar_sequence(arg):
                at_least_one_scalar_sequence = True
                continue
            elif not field_annotation_is_scalar(arg):
                return False
        return at_least_one_scalar_sequence

                list. So, the client should be able to always expect it.

                In this case, there would be two different schemas, one for input and
                another one for output.
                """
            ),
        ] = True,
        **extra: Annotated[
            Any,
            Doc(
                """

        "tensorflow.distribute.coordinator",
        "tensorflow.distribute.experimental.partitioners",
    ]

  def test_import_runtime(self):
    """Try to import all packages from api packages file one by one."""
    version = "v2"
    failed_packages = []

    logging.info("Try to import packages at runtime...")
    for package_name in self.api_packages_v2:
      # Convert package name to the short version:

openapi_schema = {
    "openapi": "3.1.0",
    "info": {"title": "FastAPI", "version": "0.1.0"},
    "paths": {
        "/a": {
            "get": {
                "responses": {
                    # this is how one would imagine the openapi schema to be
                    # but since the key is not valid, openapi.utils.get_openapi will raise ValueError
                    "hello": {"description": "Not a valid additional response"},

                },
            ]
        }
    )


def test_get_invalid_one_header_items():
    response = client.get("/items/", headers={"X-Token": "invalid"})
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Token header invalid"}


def test_get_invalid_one_users():
    response = client.get("/users/", headers={"X-Token": "invalid"})

                be `None`.

                This is useful when you want to have optional authentication.

                It is also useful when you want to have authentication that can be
                provided in one of multiple optional ways (for example, with OpenID
                Connect or in a cookie).
                """
            ),
        ] = True,
    ):
        self.model = OpenIdConnectModel(

                    "msg": "field required",
                    "type": "value_error.missing",
                },
            ]
        }
    )


def test_get_invalid_one_header():
    response = client.get("/items/", headers={"X-Token": "invalid"})
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Token header invalid"}

                    "msg": "field required",
                    "type": "value_error.missing",
                },
            ]
        }
    )


def test_get_invalid_one_header():
    response = client.get("/items/", headers={"X-Token": "invalid"})
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Token header invalid"}