*/
@Experimental
public interface ArtifactDeployer extends Service {

    /**
     * @param request {@link ArtifactDeployerRequest}
     * @throws ArtifactDeployerException if the deployment failed
     */
    void deploy(@Nonnull ArtifactDeployerRequest request);

    /**
     * @param session the repository session
     * @param repository the repository to deploy to

        pytest.param("tutorial003_an_py39"),
        pytest.param("tutorial003_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.schema_extra_example.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",

    ModelBuilderSession newSession();

    interface ModelBuilderSession {

        ModelBuilderResult build(ModelBuilderRequest request) throws ModelBuilderException;
    }

    Model buildRawModel(ModelBuilderRequest request) throws ModelBuilderException;

        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.security.{request.param}")
    client = TestClient(mod.app)
    return client


def test_no_token(client: TestClient):
    response = client.get("/users/me")

        Doc(
            """
            By default, after a dependency is called the first time in a request, if
            the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be
            re-used for the rest of the request.

            Set `use_cache` to `False` to disable this behavior and ensure the

@pytest.fixture(
    name="client",
    params=[
        "tutorial001_py39",
        pytest.param("tutorial001_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body.{request.param}")

    client = TestClient(mod.app)
    return client


def test_body_float(client: TestClient):

    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest) -> TestClient:
    mod = importlib.import_module(
        f"docs_src.path_operation_configuration.{request.param}"
    )
    return TestClient(mod.app)


def test_post_items(client: TestClient):
    response = client.post(
        "/items/",

        pytest.param("tutorial007_an_py39"),
        pytest.param("tutorial007_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(
        f"docs_src.query_params_str_validations.{request.param}"
    )

    client = TestClient(mod.app)
    return client


def test_query_params_str_validations_no_query(client: TestClient):

     * functionality. This implementation uses request-scoped caching ({@link CacheRetention#REQUEST_SCOPED})
     * since it represents a POM file that is actively being built and may change during the build process.
     * <p>
     * The request-scoped retention policy ensures that:
     * <ul>
     *   <li>Changes to the POM file during the build are detected</li>

/// tip | Tipp

Im nächsten Kapitel erfahren Sie, welche anderen „Dinge“, außer Funktionen, Sie als Abhängigkeiten verwenden können.

///

Immer wenn ein neuer <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Request</abbr> eintrifft, kümmert sich **FastAPI** darum:

* Ihre Abhängigkeitsfunktion („Dependable“) mit den richtigen Parametern aufzurufen.
* Sich das Ergebnis von dieser Funktion zu holen.