// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })
	if bucket < 0 {
		bucket = len(k.latencyBuckets) - 1
	}
	for i := bucket; i < len(k.latency); i++ {
		k.latency[i].Add(1)
	}

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

   * default initial capacity and load factor.
   */
  public static <B extends @Nullable Object> MutableClassToInstanceMap<B> create() {
    return new MutableClassToInstanceMap<>(new HashMap<Class<? extends @NonNull B>, B>());
  }

  /**
   * Returns a new {@code MutableClassToInstanceMap} instance backed by a given empty {@code

### Cloud Storage Clients

- **S3Client**: AWS SDK v2, `s3://bucket/path`, properties: `endpoint`, `accessKey`, `secretKey`, `region`
- **GcsClient**: Google Cloud SDK, `gcs://bucket/path`, properties: `projectId`, `credentialsFile`, `endpoint`
- **StorageClient**: MinIO SDK, `storage://bucket/path`

### Services

- **UrlQueueService**: URL queue management (FIFO), duplicate detection

	bp.Put(make([]byte, bp.w, bp.wcap+1)) // wrong capacity is rejected (more)
	bp.Put(make([]byte, width))           // wrong capacity is rejected (very less)
	if len(bp.c) > 0 {
		t.Fatal("bytepool should have rejected invalid packets")
	}

	// Try putting a short slice into pool
	bp.Put(make([]byte, bp.w, bp.wcap)[:2])
	if len(bp.c) != 1 {
		t.Fatal("bytepool should have accepted short slice with sufficient capacity")
	}

	b = bp.Get()

	}
	return dst
}

// bucketsUsageInfo returns the buckets usage info as a map, with
// key as bucket name
func (d *dataUsageCache) bucketsUsageInfo(buckets []BucketInfo) map[string]BucketUsageInfo {
	dst := make(map[string]BucketUsageInfo, len(buckets))
	for _, bucket := range buckets {
		e := d.find(bucket.Name)
		if e == nil {
			continue
		}
		flat := d.flatten(*e)
		bui := BucketUsageInfo{

	}
	var pathNames [paths]string
	for i := range pathNames[:] {
		pathNames[i] = fmt.Sprintf("prefix/%d", i)
	}
	for i := range elements {
		bm.findCache(listPathOptions{
			ID:           mustGetUUID(),
			Bucket:       "",
			BaseDir:      pathNames[i%paths],
			Prefix:       "",
			FilterPrefix: "",
			Marker:       "",
			Limit:        0,
			AskDisks:     "strict",
			Recursive:    false,

	// LDAP credentials
	ldapUsername string
	ldapPassword string

	// Display credentials flag
	displayCreds bool

	// Credential expiry duration
	expiryDuration time.Duration

	// Bucket to list
	bucketToList string

	// Session policy file
	sessionPolicyFile string
)

func init() {
	flag.StringVar(&stsEndpoint, "sts-ep", "http://localhost:9000", "STS endpoint")

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

     */
    List<String> findVersions(Artifact artifact);

    /**
     * Indicates whether this repository is backed by actual projects. For instance, the build reactor or IDE workspace
     * are examples of such repositories.
     *
     * @return {@code true} if the repository is backed by actual projects, {@code false} otherwise.
     * @since 3.0-beta-1
     */
    boolean isProjectAware();

    /**