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;

### "Plug-ins" ilimitados

Ou, de outra forma, sem a necessidade deles, importe e use o código que precisar.

Qualquer integração é projetada para ser tão simples de usar (com dependências) que você pode criar um "plug-in" para suas aplicações com 2 linhas de código usando a mesma estrutura e sintaxe para as suas *operações de caminho*.

### Testado

 *
 * <p>The Guava User Guide has <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#building-graph-instances">more
 * information on (and examples of) building graphs</a>.
 *
 * <h3>Additional documentation</h3>
 *
 * <p>See the Guava User Guide for the {@code common.graph} package (<a

* 📝 Update code examples in docs for body, replace name `create_item` with `update_item` when appropriate. PR [#5913](https://github.com/tiangolo/fastapi/pull/5913) by [@OttoAndrey](https://github.com/OttoAndrey).
* ✏️ Fix typo in dependencies with yield source examples. PR [#10847](https://github.com/tiangolo/fastapi/pull/10847) by [@tiangolo](https://github.com/tiangolo).

import java.util.Collection;
import java.util.LinkedHashMap;
import java.util.Map;

/**
 * Provides a fluent API for calculating <a
 * href="http://en.wikipedia.org/wiki/Quantile">quantiles</a>.
 *
 * <h3>Examples</h3>
 *
 * <p>To compute the median:
 *
 * <pre>{@code
 * double myMedian = median().compute(myDataset);
 * }</pre>
 *
 * where {@link #median()} has been statically imported.
 *

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;

   */
  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.
   *

   * maxLength} chars in length and will end with the given {@code truncationIndicator}. Otherwise,
   * the sequence will be returned as a string with no changes to the content.
   *
   * <p>Examples:
   *
   * <pre>{@code
   * Ascii.truncate("foobar", 7, "..."); // returns "foobar"
   * Ascii.truncate("foobar", 5, "..."); // returns "fo..."
   * }</pre>
   *

 * value that may be consumed only once and then closed. All other properties are immutable.
 *
 * This class implements [Closeable]. Closing it simply closes its response body. See
 * [ResponseBody] for an explanation and examples.
 */
class Response internal constructor(
  /**
   * The request that initiated this HTTP response. This is not necessarily the same request issued
   * by the application:
   *

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A strategy for determining whether two instances are considered equivalent, and for computing
 * hash codes in a manner consistent with that equivalence. Two examples of equivalences are the
 * {@linkplain #identity() identity equivalence} and the {@linkplain #equals "equals" equivalence}.
 *
 * <p><b>For users targeting Android API level 24 or higher:</b> This class will eventually