/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;

import java.nio.file.FileSystems;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.StandardCopyOption;
import java.util.Collections;

/**
 * Extracts Gradle API information from the given Gradle distribution archives.
 */
@CacheableTask
public abstract class ExtractGradleApiInfoTask extends DefaultTask {

    private static final String GRADLE_API_INFO_JAR = "gradle-runtime-api-info";

 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or

 *
 * Current implementation extracts these from the wrapper's API jars.
 * This is not correct as it should do this with the built distribution instead.
 *
 * Doing it correctly would require running a Gradle build with the full
 * distribution and extracting the generated api jar from its Gradle user home,
 * slowing down building documentation.
 *

  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = RANDOM_SOURCE.nextLong();
    if (dividend == -1) {
      return r;
    } else {

            properties.put("license." + i + ".url", license.getUrl());
            properties.put("license." + i + ".comments", license.getComments());
            properties.put("license." + i + ".distribution", license.getDistribution());
        }

        result.setProperties(properties);

        setArtifactProperties(result, model);
    }

import org.apache.maven.settings.v4.SettingsStaxReader;
import org.junit.jupiter.api.Test;

import static org.junit.jupiter.api.Assertions.assertTrue;

/**
 * Tests that the global settings.xml shipped with the distribution is in good state.
 *
 */
class GlobalSettingsTest {

    @Test
    void testValidGlobalSettings() throws Exception {
        String basedir = System.getProperty("basedir", System.getProperty("user.dir"));

 *
 * <p>Registering a DeadEvent subscriber is useful for debugging or logging, as it can detect
 * misconfigurations in a system's event distribution.
 *
 * @author Cliff Biffle
 * @since 10.0
 */
@ElementTypesAreNonnullByDefault
public class DeadEvent {

  private final Object source;
  private final Object event;

  /**

import org.eclipse.aether.artifact.Artifact;
import org.eclipse.aether.resolution.ArtifactDescriptorResult;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Relocation source from standard distribution management. This is the "one and only" relocation implementation that
 * existed in Maven 3 land, uses POM distributionManagement/relocation.
 * <p>
 * Note: this component should kick-in last regarding relocations.
 *