protected TermsQueryBuilder regTermsQ(String name, Collection<?> values) {
        checkEsInvalidQueryCollection(name, values);
        TermsQueryBuilder termsQuery = QueryBuilders.termsQuery(name, values);
        regQ(termsQuery);
        return termsQuery;
    }

    protected IdsQueryBuilder regIdsQ(Collection<String> values) {
        checkEsInvalidQueryCollection("_id", values);

	values := make(url.Values)
	values.Set(peerRESTSize, strconv.Itoa(opts.objectSize))
	values.Set(peerRESTConcurrent, strconv.Itoa(opts.concurrency))
	values.Set(peerRESTDuration, opts.duration.String())
	values.Set(peerRESTStorageClass, opts.storageClass)
	values.Set(peerRESTBucket, opts.bucketName)
	values.Set(peerRESTEnableSha256, strconv.FormatBool(opts.enableSha256))

/**
 * Assists in populating an execution request for invocation of Maven.
 *
 */
public interface MavenExecutionRequestPopulator {
    /**
     * Copies the values from the given toolchains into the specified execution request. This method will replace any
     * existing values in the execution request that are controlled by the toolchains. Hence, it is expected that this

    public void setGidNumber_PercentileRanks(double[] values) {
        setGidNumber_PercentileRanks(values, null);
    }

    public void setGidNumber_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setGidNumber_PercentileRanks("gidNumber", values, opLambda);
    }

    public void setGidNumber_PercentileRanks(String name, double[] values,

   * is not guaranteed to return zero when the dataset consists of the same pair of values multiple
   * times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
   * Double#NEGATIVE_INFINITY}, or {@link Double#NaN}) then the result is {@link Double#NaN}.
   *

    public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

  }

  public void testValues() {
    Map<String, Integer> map = create();
    Collection<Integer> values = map.values();
    assertTrue(values instanceof SynchronizedCollection);
    assertSame(mutex, ((SynchronizedCollection<?>) values).mutex);
  }

  public void testEntrySet() {
    Map<String, Integer> map = create();
    Set<Entry<String, Integer>> entrySet = map.entrySet();

  // Views

  /**
   * {@inheritDoc}
   *
   * <p>Because a bimap has unique values, this method returns a {@link Set}, instead of the {@link
   * java.util.Collection} specified in the {@link Map} interface.
   */
  @Override
  Set<V> values();

  /**
   * Returns the inverse view of this bimap, which maps each of this bimap's values to its

 */
class Settings {
  /** Bitfield of which flags that values. */
  private var set: Int = 0

  /** Flag values. */
  private val values = IntArray(COUNT)

  /** Returns -1 if unset. */
  val headerTableSize: Int
    get() {
      val bit = 1 shl HEADER_TABLE_SIZE
      return if (bit and set != 0) values[HEADER_TABLE_SIZE] else -1
    }

  val initialWindowSize: Int
    get() {

        .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStatsAccumulator accumulator =
          createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);
      PairedStatsAccumulator accumulatorByAddAllPartitionedPairedStats =