}

    /**
     * Marks the provided project as finished. Returns a list of
     *
     * @param mavenProject The project
     * @return The list of builds that are eligible for starting now that the provided project is done
     */
    public List<MavenProject> markAsFinished(MavenProject mavenProject) {
        finishedProjects.add(mavenProject);
        return getSchedulableNewProcesses(mavenProject);
    }

change unified the key-management aspect within MinIO.

The unified KMS-based approach has several advantages:

- Key management is now centralized. There is one way to change or rotate encryption keys.
   There used to be two different mechanisms - one for regular S3 objects and one for IAM data.
- Reduced server startup time. For IAM encryption with the root credentials, MinIO had

For example, RAID6 can protect against two drive failure whereas in MinIO erasure code you can lose as many as half of drives and still the data remains safe. Further, MinIO's erasure code is at the object level and can heal one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the...

        originalPlugin.setVersion("2.22.2");
        build.addPlugin(originalPlugin);

        MavenProject project = new MavenProject(model);

        // The old broken implementation would have done:
        // var plugin = getBuild().getDelegate().getPluginsAsMap().get(pluginKey);
        // return plugin != null ? new Plugin(plugin) : null;
        // This would create a disconnected Plugin that doesn't persist changes.

	if maxProcs < len(disks) {
		disks = disks[:maxProcs]
	}

	// Start one scanner per disk
	var wg sync.WaitGroup
	wg.Add(len(disks))

	for i := range disks {
		go func(i int) {
			defer wg.Done()
			disk := disks[i]

			for bucket := range bucketCh {
				select {
				case <-ctx.Done():
					return
				default:
				}

				// Load cache for bucket

  # Sources every env, in order, from the comma-separated list "TFCI"
  # Assumes variables will resolve themselves correctly.
  set +u
  for env_file in ${TFCI//,/ }; do
    source "./ci/official/envs/$env_file"
  done
  set -u
  echo '==TFCI==: Evaluated the following TFCI variables from $TFCI:'
  export -p | grep TFCI

  # Load those stored pre-existing TFCI_ vars, if any
  if [[ -s "$FROM_ENV" ]]; then

 * Dependency is the output of the <dfn>collection</dfn> process, which builds the graph of dependencies,
 * followed by <dfn>flattening</dfn> and <dfn>resolution</dfn>.
 * The version selection is done for each dependency during the collection phase.
 * The flatten phase keeps only a single version per ({@code groupId}, {@code artifactId}) pair.

		return err
	}
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricWalkDir, opts.Bucket, opts.BaseDir)
	if err != nil {
		return err
	}
	defer done(0, &err)

	return p.storage.WalkDir(ctx, opts, wr)
}

// WalkDir will traverse a directory and return all entries found.
// On success a meta cache stream will be returned, that should be closed when done.

	if isAllNotFound(errs) {
		err := errFileNotFound
		if versionID != "" {
			err = errFileVersionNotFound
		}
		// Nothing to do, file is already gone.
		return er.defaultHealResult(FileInfo{}, storageDisks, storageEndpoints,
			errs, bucket, object, versionID), err
	}

	readQuorum, _, err := objectQuorumFromMeta(ctx, partsMetadata, errs, er.defaultParityCount)

	timer := time.NewTimer(globalAPIConfig.getDeleteCleanupInterval())
	defer timer.Stop()

	for {
		select {
		case <-ctx.Done():
			return
		case <-timer.C:
			var wg sync.WaitGroup
			for _, set := range s.sets {
				wg.Add(1)
				go func(set *erasureObjects) {
					defer wg.Done()
					if set == nil {
						return
					}
					set.cleanupDeletedObjects(ctx)
				}(set)
			}
			wg.Wait()