}

  /**
   * Creates a scheduled executor service that runs each task in the thread that invokes {@code
   * execute/submit/schedule}, as in {@link CallerRunsPolicy}. This applies both to individually
   * submitted tasks and to collections of tasks submitted via {@code invokeAll}, {@code invokeAny},
   * {@code schedule}, {@code scheduleAtFixedRate}, and {@code scheduleWithFixedDelay}. In the case

    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.min()).isEqualTo(MANY_VALUES_MIN);
    // For datasets of many double values created by adding elements individually, we test many
    // combinations of finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

          Charsets.UTF_16LE,
          Charsets.UTF_8);

  private static void assertHashStringEquivalence(HashFunction hashFunction, Random random) {
    // Test that only data and data-order is important, not the individual operations.
    new EqualsTester()
        .addEqualityGroup(
            hashFunction.hashUnencodedChars("abc"),
            hashFunction.newHasher().putUnencodedChars("abc").hash(),

public class QuantilesTest extends TestCase {

  /*
   * Since Quantiles provides a fluent-style API, each test covers a chain of methods resulting in
   * the computation of one or more quantiles (or in an error) rather than individual methods. The
   * tests are divided into three sections:
   * 1. Tests on a hardcoded dataset for chains starting with median(), quartiles(), and scale(10);

   * that need to listen to more fine-grained events (such as when each particular {@linkplain
   * Service service} starts, or terminates), should attach {@linkplain Service.Listener service
   * listeners} to each individual service.
   *
   * @author Luke Sandberg
   * @since 15.0 (present as an interface in 14.0)
   */
  public abstract static class Listener {
    /**
     * Called when the service initially becomes healthy.

public class QuantilesTest extends TestCase {

  /*
   * Since Quantiles provides a fluent-style API, each test covers a chain of methods resulting in
   * the computation of one or more quantiles (or in an error) rather than individual methods. The
   * tests are divided into three sections:
   * 1. Tests on a hardcoded dataset for chains starting with median(), quartiles(), and scale(10);

    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.min()).isEqualTo(MANY_VALUES_MIN);
    // For datasets of many double values created by adding elements individually, we test many
    // combinations of finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

   * meet the contract guaranteed by this method.
   *
   * <p>There is no {@link Iterable} equivalent to this method, so use this method to wrap each
   * individual iterator as it is generated.
   *
   * @param iterator the backing iterator. The {@link PeekingIterator} assumes ownership of this
   *     iterator, so users should cease making direct calls to it after calling this method.

    }
  }

  /**
   * Creates an executor service that runs each task in the thread that invokes {@code
   * execute/submit}, as in {@code ThreadPoolExecutor.CallerRunsPolicy}. This applies both to
   * individually submitted tasks and to collections of tasks submitted via {@code invokeAll} or
   * {@code invokeAny}. In the latter case, tasks will run serially on the calling thread. Tasks are

  }

  /**
   * Creates a scheduled executor service that runs each task in the thread that invokes {@code
   * execute/submit/schedule}, as in {@link CallerRunsPolicy}. This applies both to individually
   * submitted tasks and to collections of tasks submitted via {@code invokeAll}, {@code invokeAny},
   * {@code schedule}, {@code scheduleAtFixedRate}, and {@code scheduleWithFixedDelay}. In the case