}

      // ensure that bulkGet returns locks in monotonically increasing order
      for (int objectsNum = 1; objectsNum <= striped.size() * 2; objectsNum++) {
        Set<Object> objects = Sets.newHashSetWithExpectedSize(objectsNum);
        for (int i = 0; i < objectsNum; i++) {
          objects.add(new Object());
        }

        Iterable<?> locks = striped.bulkGet(objects);

      }

      // ensure that bulkGet returns locks in monotonically increasing order
      for (int objectsNum = 1; objectsNum <= striped.size() * 2; objectsNum++) {
        Set<Object> objects = Sets.newHashSetWithExpectedSize(objectsNum);
        for (int i = 0; i < objectsNum; i++) {
          objects.add(new Object());
        }

        Iterable<?> locks = striped.bulkGet(objects);

   * are guaranteed to not deadlock each other.
   *
   * <p>It should be noted that using a {@code Striped<L>} with relatively few stripes, and {@code
   * bulkGet(keys)} with a relative large number of keys can cause an excessive number of shared
   * stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed

  long timeBulkGet(long reps) {
    long rvalue = 0;
    List<Integer> bulkGetSetLocal = bulkGetSet;
    Striped<Lock> stripedLocal = striped;
    for (long i = 0; i < reps; i++) {
      rvalue += stripedLocal.bulkGet(bulkGetSetLocal).hashCode();
    }
    return rvalue;
  }

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

            entry = entry.successorInValueSet) {
          int bucket = entry.smearedValueHash & mask;
          entry.nextInValueBucket = hashTable[bucket];
          hashTable[bucket] = entry;
        }
      }
    }

    @CanIgnoreReturnValue
    @Override
    public boolean remove(@Nullable Object o) {
      int smearedHash = Hashing.smearedHash(o);
      int bucket = smearedHash & mask();
      ValueEntry<K, V> prev = null;

    return null;
  }

  @Nullable ImmutableMapEntry<K, V> getNextInValueBucket() {
    return null;
  }

  /**
   * Returns true if this entry has no bucket links and can safely be reused as a terminal entry in
   * a bucket in another map.
   */
  boolean isReusable() {
    return true;
  }

  static class NonTerminalImmutableMapEntry<K, V> extends ImmutableMapEntry<K, V> {
    /*

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

import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;
import org.opensearch.search.aggregations.metrics.Cardinality;

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;