metrics[d.Endpoint] = madmin.DiskMetric{NDisks: 1, Offline: 1}
			continue
		}

		var dm madmin.DiskMetric
		dm.NDisks = 1
		if d.Healing {
			dm.Healing++
		}
		if d.Metrics != nil {
			dm.LifeTimeOps = make(map[string]uint64, len(d.Metrics.APICalls))
			for k, v := range d.Metrics.APICalls {
				if v != 0 {
					dm.LifeTimeOps[k] = v
				}
			}

func (m *mrfState) shutdown() {
	atomic.StoreInt32(&m.closing, 1)
	m.wg.Wait()
	close(m.opCh)
	atomic.StoreInt32(&m.closed, 1)

	if len(m.opCh) > 0 {
		healingLogEvent(context.Background(), "Saving MRF healing data (%d entries)", len(m.opCh))
	}

	newReader := func() io.ReadCloser {
		r, w := io.Pipe()
		go func() {
			// Initialize MRF meta header.
			var data [4]byte

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 lifetime of the server. MinIO's erasure coded backend is designed for operational efficiency and takes full advantage of hardware...

 *
 */
@Deprecated
public interface GraphConflictResolver {
    String ROLE = GraphConflictResolver.class.getName();

    /**
     * Cleanses the supplied graph by leaving only one directed versioned edge\
     * between any two nodes, if multiple exists. Uses scope relationships, defined
     * in <code>ArtifactScopeEnum</code>
     *

 * it delegates to other components that potentially encounter problems. Then, the problem reporter can focus on
 * providing a simple error message, leaving the donkey work of creating a nice model problem to this component.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface ModelProblemCollector {

func readAllFileInfo(ctx context.Context, disks []StorageAPI, origbucket string, bucket, object, versionID string, readData, healing bool) ([]FileInfo, []error) {
	metadataArray := make([]FileInfo, len(disks))

	opts := ReadOptions{
		ReadData: readData,
		Healing:  healing,
	}

	g := errgroup.WithNErrs(len(disks))
	// Read `xl.meta` in parallel across disks.
	for index := range disks {
		index := index

	}
	return nil
}

// Alpine and some distros struggles with this - ipset CLI utilities support this, but
// the kernel can be out of sync with the CLI utility, leading to errors like:
//
// ipset v7.10: Argument `comment' is supported in the kernel module of the set type hash:ip
// starting from the revision 3 and you have installed revision 1 only.
// Your kernel is behind your ipset utility.

See the [discovery document](https://docs.google.com/document/d/1-oKG23gLdx2D2uJvzir31AhDFyqSf81LDESfKKCU28c/edit#heading=h.pps74pn68uvk) (internal document) for more context.

### Platforms

The platforms and their architecture modules are:

#### Core automation platform

 *
 * This is because the ModelProcessor interface extends ModelLocator and ModelReader. If we
 * made this component available under all its interfaces then it could end up being injected
 * into itself leading to a stack overflow.
 *
 * A side effect of using @Typed is that it translates to explicit bindings in the container.
 * So instead of binding the component under a 'wildcard' key it is now bound with an explicit

@REM   MAVEN_BATCH_PAUSE   (Optional) set to 'on' to wait for a key stroke before ending.
@REM   MAVEN_OPTS          (Optional) Java runtime options used when Maven is executed.
@REM   MAVEN_SKIP_RC       (Optional) Flag to disable loading of mavenrc files.
@REM -----------------------------------------------------------------------------