@Override
  public int setCount(E element, int count) {
    checkIsE(element);
    checkNonnegative(count, "count");
    int index = element.ordinal();
    int oldCount = counts[index];
    counts[index] = count;
    size += count - oldCount;
    if (oldCount == 0 && count > 0) {
      distinctElements++;
    } else if (oldCount > 0 && count == 0) {
      distinctElements--;
    }
    return oldCount;

    final Object[] elements;
    final int[] counts;

    // "extends Object" works around https://github.com/typetools/checker-framework/issues/3013
    SerializedForm(Multiset<? extends Object> multiset) {
      int distinct = multiset.entrySet().size();
      elements = new Object[distinct];
      counts = new int[distinct];
      int i = 0;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */

        assertNotSame(first, second, "Should create new connection when session limit reached");
    }

    @Test
    @DisplayName("Should access fail counts map correctly")
    void testFailCountsAccess() throws Exception {
        // Given: Access to fail counts via reflection
        Field failCountsField = SmbTransportPoolImpl.class.getDeclaredField("failCounts");
        failCountsField.setAccessible(true);

import java.io.Serializable;
import org.jspecify.annotations.Nullable;

/**
 * A mutable value of type {@code int}, for multisets to use in tracking counts of values.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
final class Count implements Serializable {
  private int value;

  Count(int value) {
    this.value = value;
  }

  public int get() {
    return value;
  }

  public void add(int delta) {

  private static <T> ImmutableMultiset<T> multiset(T value, int count) {
    return multiset(ImmutableMap.of(value, count));
  }

  private static <T> ImmutableMultiset<T> multiset(T value1, int count1, T value2, int count2) {
    return multiset(ImmutableMap.of(value1, count1, value2, count2));
  }

  private static <T> ImmutableMultiset<T> multiset(Map<T, Integer> counts) {

  private static <T> ImmutableMultiset<T> multiset(T value, int count) {
    return multiset(ImmutableMap.of(value, count));
  }

  private static <T> ImmutableMultiset<T> multiset(T value1, int count1, T value2, int count2) {
    return multiset(ImmutableMap.of(value1, count1, value2, count2));
  }

  private static <T> ImmutableMultiset<T> multiset(Map<T, Integer> counts) {

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

Use one of the following approaches to view job output:

     * Gets the total number of records in the search result set.
     *
     * @return the total record count
     */
    public long getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Gets the relation type for the total record count.
     *
     * @return the relation type (e.g., "eq" for exact count, "gte" for greater than or equal)
     */
    public String getAllRecordCountRelation() {

     * desired count.
     *
     * @param element the element to add or remove occurrences of
     * @param count the desired count of the element in this multiset
     * @return this {@code Builder} object
     * @throws NullPointerException if {@code element} is null
     * @throws IllegalArgumentException if {@code count} is negative
     */
    @CanIgnoreReturnValue