<properties>
    <!-- in: DefaultModelValidator, DefaultModelBuilder -->
    <checkstyle.violation.ignore>FileLength</checkstyle.violation.ignore>
  </properties>

  <dependencies>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-api-annotations</artifactId>
    </dependency>
    <dependency>
      <groupId>org.apache.maven</groupId>

        pytest.param("tutorial005_an_py39"),
        pytest.param("tutorial005_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.dependencies.{request.param}")

    client = TestClient(mod.app)
    return client


@pytest.mark.parametrize(
    "path,cookie,expected_status,expected_response",
    [
        (
            "/items",

                        "%gitUserEmail%",
                    )
                param("org.jfrog.artifactory.selectedDeployableServer.defaultModuleVersionConfiguration", "GLOBAL")
            }
        }

        dependencies {
            snapshot(RelativeId("Check_Stage_ReadyforNightly_Trigger")) {
            }
        }
    }

    /**
     * Sets the level of validation to perform on processed models. For building of projects,
     * {@link #VALIDATION_LEVEL_STRICT} should be used to ensure proper building. For the mere retrieval of dependencies
     * during artifact resolution, {@link #VALIDATION_LEVEL_MINIMAL} should be used to account for models of poor
     * quality. By default, models are validated in strict mode.
     *

 * @since 3.2.4
 */
public interface RepositorySessionDecorator {
    /**
     * Returns possibly {@code null} Aether repository system session to be used to resolve project dependencies.
     */
    RepositorySystemSession decorate(MavenProject project, RepositorySystemSession session);

    pass  # pragma: nocover


callback_router5 = APIRouter()


@callback_router5.get("/")
async def callback5(level5: str):
    pass  # pragma: nocover


app = FastAPI(
    dependencies=[Depends(dep0)],
    responses={
        400: {"description": "Client error level 0"},
        500: {"description": "Server error level 0"},
    },
    default_response_class=ResponseLevel0,

register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64")

register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64_cuda")

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.

        }
        return getBasedir().resolve(dir);
    }

    /**
     * {@return the project direct dependencies (directly specified or inherited)}.
     */
    @Nonnull
    List<DependencyCoordinates> getDependencies();

    /**
     * {@return the project managed dependencies (directly specified or inherited)}.
     */
    @Nonnull
    List<DependencyCoordinates> getManagedDependencies();

 */
@GwtCompatible
@NullUnmarked
final class LenientSerializableTester {
  /*
   * TODO(cpovirk): move this to c.g.c.testing if we allow for c.g.c.annotations dependencies so
   * that it can be GWTified?
   */
  @CanIgnoreReturnValue
  @GwtIncompatible // SerializableTester
  static <E> Set<E> reserializeAndAssertLenient(Set<E> original) {
    Set<E> copy = reserialize(original);

      </excludes>
    </fileSet>
    <fileSet>
      <directory>${project.build.directory}/maven-shared-archive-resources/META-INF</directory>
      <outputDirectory>/</outputDirectory>
      <includes>
        <include>DEPENDENCIES</include>
        <!-- exclude the license and notice as they are not as accurate as the ones from above -->
      </includes>
    </fileSet>
  </fileSets>