use_sub_dependant = sub_dependant
        if (
            dependency_overrides_provider
            and dependency_overrides_provider.dependency_overrides
        ):
            original_call = sub_dependant.call
            call = getattr(
                dependency_overrides_provider, "dependency_overrides", {}
            ).get(original_call, original_call)

                solved_result = await solve_dependencies(
                    request=request,
                    dependant=dependant,
                    body=body,
                    dependency_overrides_provider=dependency_overrides_provider,
                    async_exit_stack=async_exit_stack,
                )
                values, errors, background_tasks, sub_response, _ = solved_result
                if not errors:

    check_success: (Function) function that takes one argument and returns a
      boolean. Should return True if the value provided is considered valid. May
      contain a complex error message if error_msg does not provide enough
      information. In that case, set suppress_default_error to True.
    error_msg: (String) String with one and only one '%s'. Formatted with each

def test_users_token_monica_with_no_jessica(client: TestClient):
    response = client.get("/users?token=monica")
    assert response.status_code == 400
    assert response.json() == {"detail": "No Jessica token provided"}


def test_items_token_jessica(client: TestClient):
    response = client.get(
        "/items?token=jessica", headers={"X-Token": "fake-super-secret-token"}
    )
    assert response.status_code == 200

                """
            ),
        ] = None,
        auto_error: Annotated[
            bool,
            Doc(
                """
                By default, if no HTTP Authorization header is provided, required for
                OpenID Connect authentication, it will automatically cancel the request
                and send the client an error.

    by_alias: Annotated[
        bool,
        Doc(
            """
            Pydantic's `by_alias` parameter, passed to Pydantic models to define if
            the output should use the alias names (when provided) or the Python
            attribute names. In an API, if you set an alias, it's probably because you
            want to use it in the result, so you probably want to leave this set to
            `True`.
            """