- ObjectType (default)
- LegacyObjectType (preserves existing deployments and older xl.json format)
- DeleteMarker (a versionId to capture the DELETE sequences implemented primarily for AWS spec compatibility)

A sample msgpack-JSON `xl.meta`, you can debug the content inside `xl.meta` using [xl-meta.go](https://github.com/minio/minio/tree/master/docs/debugging#decoding-metadata) program.

```json
{
  "Versions": [
    {
      "Type": 1,

 * also be resolved to yield the name of the associated Windows account
 * such as <code>Administrators</code> or <code>MYDOM\alice</code>.
 * <p>
 * Consider the following output of <code>examples/SidLookup.java</code>:
 *
 * <pre>
 *        toString: S-1-5-21-4133388617-793952518-2001621813-512
 * toDisplayString: WNET\Domain Admins
 *         getType: 2
 *     getTypeText: Domain group

     * The path elements are separated by an option-specific or platform-specific separator.
     * If the given {@code paths} argument contains no element, then this method returns an empty string.
     *
     * <h4>Examples</h4>
     * If {@code paths} is a list containing two elements, {@code dir/path1} and {@code dir/path2}, then:
     *
     * <ul>
     *   <li>If this type is {@link JavaPathType#MODULES}, then this method returns

Each "scope" is just a string (without spaces).

They are normally used to declare specific security permissions, for example:

* `users:read` or `users:write` are common examples.
* `instagram_basic` is used by Facebook / Instagram.
* `https://www.googleapis.com/auth/drive` is used by Google.

/// info

In OAuth2 a "scope" is just a string that declares a specific permission required.

) {
  /**
   * Returns the effective top-level domain plus one (eTLD+1) by referencing the public suffix list.
   * Returns null if the domain is a public suffix or a private address.
   *
   * Here are some examples:
   *
   * ```java
   * assertEquals("google.com", getEffectiveTldPlusOne("google.com"));
   * assertEquals("google.com", getEffectiveTldPlusOne("www.google.com"));
   * assertNull(getEffectiveTldPlusOne("com"));

  ZERO(0),
  /** Test a one-element collection. */
  ONE(1),
  /** Test a three-element collection. */
  SEVERAL(3),
  /*
   * TODO: add VERY_LARGE, noting that we currently assume that the fourth
   * sample element is not in any collection
   */

  ANY(ZERO, ONE, SEVERAL);

  private final Set<Feature<? super Collection>> implied;
  private final @Nullable Integer numElements;

  CollectionSize(int numElements) {

  ZERO(0),
  /** Test a one-element collection. */
  ONE(1),
  /** Test a three-element collection. */
  SEVERAL(3),
  /*
   * TODO: add VERY_LARGE, noting that we currently assume that the fourth
   * sample element is not in any collection
   */

  ANY(ZERO, ONE, SEVERAL);

  private final Set<Feature<? super Collection>> implied;
  private final @Nullable Integer numElements;

  CollectionSize(int numElements) {

        // This will make sure that tasks don't get stuck busy waiting.
        // Some of this is fixed in jdk11 (see https://bugs.openjdk.org/browse/JDK-8198692) but
        // not all.  See the test cases for examples on how this can happen.
        try {
          ((Thread) currentRunner).interrupt();
        } finally {
          Runnable prev = getAndSet(DONE);
          if (prev == PARKED) {

 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *
 * <p>The main purpose of {@link #addListener addListener} is to support this chaining. You will

import org.opensearch.search.aggregations.bucket.range.DateRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;