*       at this goal. Important note: it may be easy to achieve the theoretical minimum collision
 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden
 *       patterns and clumps. The goal of a good hash function is to stamp these patterns out as

   * @throws IllegalStateException if the dataset is empty
   */
  public double populationCovariance() {
    checkState(count() != 0);
    return sumOfProductsOfDeltas / count();
  }

  /**
   * Returns the sample covariance of the values. The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same pair of values
   * multiple times, due to numerical errors.
   *

func getXLMetaBytes(totalParts int) []byte {
	xlSampleMeta := getSampleXLMeta(totalParts)
	xlMetaBytes, err := json.Marshal(xlSampleMeta)
	if err != nil {
		panic(err)
	}
	return xlMetaBytes
}

// Returns sample xlMetaV1Object{} for number of parts.
func getSampleXLMeta(totalParts int) xlMetaV1Object {
	xlMeta := newTestXLMetaV1()
	// Number of checksum info == total parts.
	xlMeta.Erasure.Checksums = make([]ChecksumInfo, totalParts)

                    return (Collection<String>[]) new Collection<?>[length];
                  }

                  @Override
                  public SampleElements<Entry<String, Collection<String>>> samples() {
                    return new SampleElements<>(
                        mapEntry("a", (Collection<String>) ImmutableSortedSet.of("alex")),

   * elements, and each pair of corresponding elements is equivalent according to {@code this}. Null
   * iterables are equivalent to one another.
   *
   * <p>Note that this method performs a similar function for equivalences as {@link
   * com.google.common.collect.Ordering#lexicographical} does for orderings.
   *
   * <p>The returned object is serializable if this object is serializable.
   *
   * @since 10.0

 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally
 * prefer the simplest interface that satisfies your use case. See the <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#choosing-the-right-graph-type">
 * "Choosing the right graph type"</a> section of the Guava User Guide for more details.

## 代替のAPIドキュメント { #alternative-api-docs }

また、[http://192.168.99.100/redoc](http://192.168.99.100/redoc) や [http://127.0.0.1/redoc](http://127.0.0.1/redoc) (またはそれに相当するDockerホストを使用したもの）にもアクセスできます。

代替の自動ドキュメント（[ReDoc](https://github.com/Rebilly/ReDoc)によって提供される）が表示されます：

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

        final String[] result = chatApiManager.parseExtraQueries(request);
        assertEquals(1, result.length);
        assertEquals("filetype:HTML OR filetype:WORD", result[0]);
    }

    /**
     * Simple mock HttpServletRequest for testing.
     */
    private static class MockHttpServletRequest extends jakarta.servlet.http.HttpServletRequestWrapper {
        private String servletPath;
        private String method = "POST";

 * services are started by some mechanism besides {@link #startAsync}, the listeners will be invoked
 * when appropriate and {@link #awaitHealthy} will still work as expected.
 *
 * <p>Here is a simple example of how to use a {@code ServiceManager} to start a server.
 *
 * {@snippet :
 * class Server {
 *   public static void main(String[] args) {
 *     Set<Service> services = ...;

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;