.pluginGroups(Arrays.asList("org.apache.maven.plugins", "org.codehaus.modello"))
                .build();

        Settings recessive = Settings.newBuilder()
                .pluginGroups(Arrays.asList("org.codehaus.plexus"))
                .build();

        Settings merged = SettingsUtilsV4.merge(dominant, recessive);

        List<String> pluginGroups = merged.getPluginGroups();

        return create(ArtifactCoordinatesFactoryRequest.build(session, coordinatesString));
    }

    @Nonnull
    default ArtifactCoordinates create(
            @Nonnull Session session, String groupId, String artifactId, String version, String extension) {
        return create(ArtifactCoordinatesFactoryRequest.build(session, groupId, artifactId, version, extension));
    }

    @Nonnull

#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)

/**
 * Summarizes the result of a successful project build in the reactor.
 *
 */
public class BuildSuccess extends BuildSummary {

    /**
     * Creates a new build summary for the specified project.
     *
     * @param project The project being summarized, must not be {@code null}.
     * @param time The build time of the project in milliseconds.
     */

between the runs. All the python-agnostic parts of the build cache from the
previous build will be preserved and reused for the subsequent builds.

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies

                            </build>
                        </profile>
                    </profiles>
                </project>
                """;

            return Document.of(pomXml);
        }

        private void verifyCleanPluginPhases(Document document) {
            Element root = document.root();
            Element build = root.child("build").orElse(null);

    - name: Compile with Gradle with Build Scan
      if: ${{ matrix.language == 'java' && github.repository_owner == 'gradle' }}
      run: ./gradlew --init-script .github/workflows/codeql-analysis.init.gradle -Ddevelocity.edge.discovery=false -DcacheNode=us -S testClasses -Dhttp.keepAlive=false
      env:
        # Set the DEVELOCITY_ACCESS_KEY so that a Build Scan is generated

One or more test dependencies are not in the pip package.
If these test dependencies need to be in the TensorFlow pip package, please
add them to //tensorflow/tools/pip_package/BUILD. Otherwise, add the no_pip tag
to the test, or change code_check_full.bats in the SIG Build repository. That's
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats
Here are the affected tests:

                .artifactId(artifactId)
                .version(version)
                .extension(extension)
                .build();
    }

    @Nonnull
    static ArtifactCoordinatesFactoryRequest build(
            @Nonnull Session session,
            String groupId,
            String artifactId,
            String version,
            String classifier,
            String extension,

  <artifactId>parent</artifactId>
  <version>0.1</version>
  <packaging>pom</packaging>

  <name>Maven Integration Test :: MNG-3899</name>
  <description>
    Test that build extensions are properly merged during inheritance.
  </description>

  <build>
    <extensions>
      <extension>
        <groupId>org.apache.maven.its.mng3899</groupId>
        <artifactId>a</artifactId>
        <version>0.1</version>
      </extension>