@Override
    public List<ArtifactRepository> getEffectiveRepositories(List<ArtifactRepository> repositories) {
        if (repositories == null) {
            return null;
        }

        Map<String, List<ArtifactRepository>> reposByKey = new LinkedHashMap<>();

        for (ArtifactRepository repository : repositories) {
            String key = repository.getId();

                : null;
    }

    @Override
    public List<ArtifactRepository> toArtifactRepositories(List<RemoteRepository> repositories) {
        return repositories == null ? null : map(repositories, this::toArtifactRepository);
    }

    @Nonnull
    @Override
    public Settings getSettings() {
        return getMavenSession().getSettings().getDelegate();
    }

            targetVersion = target;
            return this;
        }

        @Nonnull
        public DependencyResolverRequestBuilder repositories(@Nonnull List<RemoteRepository> repositories) {
            this.repositories = repositories;
            return this;
        }

        @Nonnull
        public DependencyResolverRequest build() {
            return new DefaultDependencyResolverRequest(

        Artifact l = createRemoteArtifact("l", "1.0-SNAPSHOT");
        deleteLocalArtifact(l);

        List<ArtifactRepository> repositories = new ArrayList<>();
        repositories.add(remoteRepository());
        repositories.add(badRemoteRepository());

        artifactResolver.resolve(l, repositories, localRepository());

        assertLocalArtifactPresent(l);
    }

    @Test

    /**
     * Adds a repository to use for subsequent resolution requests. The order in which repositories are added matters,
     * repositories that were added first should also be searched first. When multiple repositories with the same
     * identifier are added, only the first repository being added will be used.
     *

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

            }

            if (mirrors) {
                repositorySystem.injectMirror(session, repositories);
            }

            repositorySystem.injectProxy(session, repositories);

            repositorySystem.injectAuthentication(session, repositories);
        }

        return repository;
    }

    private boolean isLocalRepository(ArtifactRepository repository) {

// getting the repositories from the project.

/**
 * ProjectUtils
 */
@Deprecated
public final class ProjectUtils {

    private ProjectUtils() {}

    public static List<ArtifactRepository> buildArtifactRepositories(
            List<Repository> repositories, ArtifactRepositoryFactory artifactRepositoryFactory, PlexusContainer c)

     * @return repository proxy
     */
    Proxy getProxy();

    /**
     * @since 3.0.3
     * @return the repositories mirrored by the actual one
     */
    List<ArtifactRepository> getMirroredRepositories();

    /**
     * @since 3.0.3
     * @param mirroredRepositories the repositories that the actual one mirrors
     */
    void setMirroredRepositories(List<ArtifactRepository> mirroredRepositories);

                if (!repositories.isEmpty()) {
                    trackingData.add("Configured repositories:");
                    for (RemoteRepository r : repositories) {
                        trackingData.add(" - " + r.getId() + " : " + r.getUrl());
                    }
                } else {
                    trackingData.add("No repositories configured");
                }
            }