*/
  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>

            });
            final Terms agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_CLICK_COUNT);
            final List<? extends Terms.Bucket> buckets = agg.getBuckets();
            updatePagerByAgg(pager, buckets.size());
            return buckets.stream().map(e -> {
                final Map<String, Object> map = new HashMap<>();

        private final WindowBucket[] buckets;
        private volatile int currentBucketIndex = 0;
        private volatile long lastBucketTime = System.currentTimeMillis();

        public RollingWindow(int numberOfBuckets, long bucketSizeInMillis) {
            this.numberOfBuckets = numberOfBuckets;
            this.bucketSizeInMillis = bucketSizeInMillis;
            this.buckets = new WindowBucket[numberOfBuckets];

    int buckets = Hashing.closedTableSize(expectedSize, loadFactor);
    this.table = newTable(buckets);
    this.loadFactor = loadFactor;

    this.keys = new @Nullable Object[expectedSize];
    this.values = new int[expectedSize];

    this.entries = newEntries(expectedSize);
    this.threshold = Math.max(1, (int) (buckets * loadFactor));
  }

lse,\"showMetricsAtAllLevels\":false,\"sort\":{\"columnIndex\":null,\"direction\":null},\"showTotal\":false,\"totalFunc\":\"sum\",\"dimensions\":{\"metrics\":[{\"accessor\":0,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"count\"}],\"buckets\":[]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{}},{\"id\":\"2\",\"enabled\":true,\"type\":\"terms\",\"schema\":\"bucket\",\"params\":{\"field\":\"searchWord\",\"order\":\"desc\",\"size\":5,\"o...

  int allocArrays() {
    Preconditions.checkState(needsAllocArrays(), "Arrays already allocated");

    int expectedSize = metadata;
    int buckets = CompactHashing.tableSize(expectedSize);
    this.table = CompactHashing.createTable(buckets);
    setHashTableMask(buckets - 1);

    this.entries = new int[expectedSize];
    this.keys = new Object[expectedSize];
    this.values = new Object[expectedSize];

  int allocArrays() {
    Preconditions.checkState(needsAllocArrays(), "Arrays already allocated");

    int expectedSize = metadata;
    int buckets = CompactHashing.tableSize(expectedSize);
    this.table = CompactHashing.createTable(buckets);
    setHashTableMask(buckets - 1);

    this.entries = new int[expectedSize];
    this.elements = new Object[expectedSize];

    return expectedSize;
  }

  int allocArrays() {
    Preconditions.checkState(needsAllocArrays(), "Arrays already allocated");

    int expectedSize = metadata;
    int buckets = CompactHashing.tableSize(expectedSize);
    this.table = CompactHashing.createTable(buckets);
    setHashTableMask(buckets - 1);

    this.entries = new int[expectedSize];
    this.keys = new Object[expectedSize];
    this.values = new Object[expectedSize];

     * It extends URLConnection to provide connectivity to MinIO-compatible storage services.
     * This class handles the authentication, connection management, and data retrieval
     * from storage buckets and objects.
     *
     * <p>
     * The connection extracts bucket and object names from the URL and uses environment
     * variables for authentication and endpoint configuration.
     * </p>
     */

 * amortized) constant time operations. Expected in the hashtable sense (depends on the hash
 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced