*/
  public static int consistentHash(HashCode hashCode, int buckets) {
    return consistentHash(hashCode.padToLong(), buckets);
  }

  /**
   * Assigns to {@code input} a "bucket" in the range {@code [0, buckets)}, in a uniform manner that
   * minimizes the need for remapping as {@code buckets} grows. That is, {@code consistentHash(h,
   * n)} equals:
   *
   * <ul>

        with:
          limit-access-to-actor: true
        env:
          GITHUB_TOKEN: ${{ secrets.FASTAPI_PEOPLE }}
      - name: FastAPI People Experts
        run: python ./scripts/people.py
        env:
          GITHUB_TOKEN: ${{ secrets.FASTAPI_PEOPLE }}

import java.util.LinkedList

const val MASTER_CHECK_CONFIGURATION = "Gradle_Master_Check"
const val MAX_PROJECT_NUMBER_IN_BUCKET = 11

/**
 * Process test-class-data.json and generates test-buckets.json
 *
 * Usage: `mvn compile exec:java@update-test-buckets -DinputTestClassDataJson=/path/to/test-class-data.json`.
 * You can get the JSON file as an artifacts of the "autoUpdateTestSplitJsonOnGradleMaster" pipeline in TeamCity.
 */
fun main() {

	now := time.Now()
	for idx := range z.serverPools {
		r.PoolStats[idx] = &rebalanceStats{
			Buckets:           make([]string, len(buckets)),
			RebalancedBuckets: make([]string, 0, len(buckets)),
			InitFreeSpace:     diskStats[idx].AvailableSpace,
			InitCapacity:      diskStats[idx].TotalSpace,
		}
		copy(r.PoolStats[idx].Buckets, buckets)

        with:
          limit-access-to-actor: true
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
      - name: Notify Translations
        run: python ./scripts/notify_translations.py
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          NUMBER: ${{ github.event.inputs.number || null }}

    val request = Request(server.url("/"))
    val response = client.newCall(request).execute()
    response.body.close()

    // This client shares a connection pool but has a different SSL socket factory.
    val handshakeCertificates2 = HandshakeCertificates.Builder().build()
    val anotherClient =
      client
        .newBuilder()
        .sslSocketFactory(

	public fun <init> (Ljava/lang/String;Lokhttp3/Headers;Ljava/util/List;JLokio/Buffer;ILjava/net/Socket;)V
	public fun <init> (Ljava/lang/String;Lokhttp3/Headers;Ljava/util/List;JLokio/Buffer;ILjava/net/Socket;Ljava/io/IOException;)V
	public synthetic fun <init> (Ljava/lang/String;Lokhttp3/Headers;Ljava/util/List;JLokio/Buffer;ILjava/net/Socket;Ljava/io/IOException;ILkotlin/jvm/internal/DefaultConstructorMarker;)V
	public final fun getBody ()Lokio/Buffer;

	e.ExpireBucket = bucketID
	c.buckets[bucketID].entries[e.Key] = e
	if c.buckets[bucketID].newestEntry.Before(e.ExpiresAt) {
		c.buckets[bucketID].newestEntry = e.ExpiresAt
	}
}

// removeFromBucket removes the entry from its corresponding bucket. Has to be called with lock!
func (c *LRU[K, V]) removeFromBucket(e *Entry[K, V]) {
	delete(c.buckets[e.ExpireBucket].entries, e.Key)
}

## Highlights

- Supports source and destination buckets to have the same name unlike AWS S3, addresses variety of use-cases such as *Splunk*, *Veeam* site to site DR.
- Supports object locking/retention across source and destination buckets natively out of the box, unlike AWS S3.

				}
				return info, errSRBackendIssue(err)
			}
			buckets = append(buckets, bi)
		} else {
			buckets, err = objAPI.ListBuckets(ctx, BucketOptions{Deleted: opts.ShowDeleted})
			if err != nil {
				return info, errSRBackendIssue(err)
			}
		}
		info.Buckets = make(map[string]madmin.SRBucketInfo, len(buckets))
		for _, bucketInfo := range buckets {
			bucket := bucketInfo.Name