pytest.param("tutorial001_02_an_py39"),
        pytest.param("tutorial001_02_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,expected_status,expected_response",
    [

### Dependências { #dependencies }

O mesmo se aplica para as [dependências](tutorial/dependencies/index.md){.internal-link target=_blank}. Se uma dependência tem as funções com padrão `def` ao invés de `async def`, ela é rodada no threadpool externo.

### Sub-dependências { #sub-dependencies }

  <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);

    - [Node binaries](#node-binaries)
  - [Changelog since v1.17.16](#changelog-since-v11716)
  - [Changes by Kind](#changes-by-kind)
    - [Bug or Regression](#bug-or-regression)
  - [Dependencies](#dependencies)
    - [Added](#added)
    - [Changed](#changed)
    - [Removed](#removed)
- [v1.17.16](#v11716)
  - [Downloads for v1.17.16](#downloads-for-v11716)
    - [Source Code](#source-code-1)

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();