async def get_model_a(name: str, model_c=Depends(get_model_c)):
        return {
            "name": name,
            "description": "model-a-desc",
            "foo": model_c,
            "tags": {"key1": "value1", "key2": "value2"},
        }

    client = TestClient(app)
    return client


def test_filter_sub_model(client: TestClient):
    response = client.get("/model/modelA")

        allowed_keys = set(obj.keys())
        if include is not None:
            allowed_keys &= set(include)
        if exclude is not None:
            allowed_keys -= set(exclude)
        for key, value in obj.items():
            if (
                (
                    not sqlalchemy_safe
                    or (not isinstance(key, str))
                    or (not key.startswith("_sa"))
                )

    for key in received_params.keys():
        if key not in processed_keys:
            if hasattr(received_params, "getlist"):
                value = received_params.getlist(key)
                if isinstance(value, list) and (len(value) == 1):
                    params_to_process[key] = value[0]
                else:
                    params_to_process[key] = value
            else:

        "/items/", headers={"X-Token": "fake-super-secret-token", "X-Key": "invalid"}
    )
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Key header invalid"}


def test_get_invalid_second_header_users(client: TestClient):
    response = client.get(
        "/users/", headers={"X-Token": "fake-super-secret-token", "X-Key": "invalid"}
    )
    assert response.status_code == 400, response.text

        String getClassName() { return null }

        Map<String, ?> getUserData() { return userData }

        Object getUserData(String key) {
            return userData[key]
        }

        void putUserData(String key, Object value) {
            userData[key] = value
        }
    }

    ClassPool instanceScopedPool = new ClassPool()

    JApiClass apiClass = Stub(JApiClass)

    def setup() {

    for key, value in update_dict.items():
        if (
            key in main_dict
            and isinstance(main_dict[key], dict)
            and isinstance(value, dict)
        ):
            deep_dict_update(main_dict[key], value)
        elif (
            key in main_dict
            and isinstance(main_dict[key], list)
            and isinstance(update_dict[key], list)

    )
    assert response.status_code == 400, response.text
    assert response.json() == {"detail": "X-Key header invalid"}


def test_get_valid_headers(client: TestClient):
    response = client.get(
        "/items/",
        headers={
            "X-Token": "fake-super-secret-token",
            "X-Key": "fake-super-secret-key",
        },
    )

        )
        new_field_mapping[field_key] = new_schema

    new_definitions = {}
    for key, value in definitions.items():
        if key in old_name_to_new_name_map:
            new_key = old_name_to_new_name_map[key]
        else:
            new_key = key
        new_value = _replace_refs(
            schema=value,
            old_name_to_new_name_map=old_name_to_new_name_map,
        )

    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["body", "foo", "[key]"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "foo",
            }
        ]
    }


def test_openapi_schema(client: TestClient):

sequence_annotation_to_type = {
    Sequence: list,
    list: list,
    tuple: tuple,
    set: set,
    frozenset: frozenset,
    deque: deque,
}

sequence_types = tuple(sequence_annotation_to_type.keys())

Url: type[Any]


# Copy of Pydantic v2, compatible with v1
def lenient_issubclass(
    cls: Any, class_or_tuple: Union[type[Any], tuple[type[Any], ...], None]
) -> bool:
    try: