import java.util.Map;

/**
 * Enumerates several algorithms providing equivalent functionality to {@link Quantiles}, for use in
 * {@link QuantilesBenchmark}. These algorithms each calculate either a single quantile or multiple
 * quantiles. All algorithms modify the dataset they are given (the cost of a copy to avoid this
 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */

import java.util.Map;
import java.util.Objects;

/**
 * The domain-specific model merger for the Maven POM, overriding generic code from parent class when necessary with
 * more adapted algorithms.
 *
 * @deprecated use {@link org.apache.maven.internal.impl.model.MavenModelMerger} instead
 */
public class MavenModelMerger extends org.apache.maven.internal.impl.model.MavenModelMerger {

    /**

import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.nio.charset.Charset;
import java.util.Arrays;

/**
 * Skeleton implementation of {@link HashFunction}, appropriate for non-streaming algorithms. All
 * the hash computation done using {@linkplain #newHasher()} are delegated to the {@linkplain
 * #hashBytes(byte[], int, int)} method.
 *
 * @author Dimitris Andreou
 */
@Immutable

import com.google.caliper.Param;
import com.google.caliper.api.SkipThisScenarioException;
import com.google.common.primitives.Doubles;
import java.util.Random;

/**
 * Benchmarks for various algorithms for computing the mean and/or variance.
 *
 * @author Louis Wasserman
 */
public class StatsBenchmark {

  enum MeanAlgorithm {
    SIMPLE {
      @Override
      double mean(double[] values) {

architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for...

 *
 * <h3>Relationship to {@link Object#hashCode}</h3>
 *
 * <p>Java's baked-in concept of hash codes is constrained to 32 bits, and provides no separation
 * between hash algorithms and the data they act on, so alternate hash algorithms can't be easily
 * substituted. Also, implementations of {@code hashCode} tend to be poor-quality, in part because

 *
 * <h3>Relationship to {@link Object#hashCode}</h3>
 *
 * <p>Java's baked-in concept of hash codes is constrained to 32 bits, and provides no separation
 * between hash algorithms and the data they act on, so alternate hash algorithms can't be easily
 * substituted. Also, implementations of {@code hashCode} tend to be poor-quality, in part because

URLs are abstract:

* kube-proxy: ratelimit runs of iptables by sync-period flags ([#46266](https://github.com/kubernetes/kubernetes/pull/46266), [@thockin](https://github.com/thockin))

   *     {@code toIndex > fromIndex}
   * @since 32.0.0
   */
  public static void rotate(boolean[] array, int distance, int fromIndex, int toIndex) {
    // See Ints.rotate for more details about possible algorithms here.
    checkNotNull(array);
    checkPositionIndexes(fromIndex, toIndex, array.length);
    if (array.length <= 1) {
      return;
    }

    int length = toIndex - fromIndex;