### Is concurrency better than parallelism? { #is-concurrency-better-than-parallelism }

Nope! That's not the moral of the story.

Concurrency is different than parallelism. And it is better on **specific** scenarios that involve a lot of waiting. Because of that, it generally is a lot better than parallelism for web application development. But not for everything.

    // Behold the weirdness!
    assertFalse(domain.publicSuffix().isPublicSuffix());
  }

  public void testPublicSuffixMultipleUnders() {
    // PSL has both *.uk and *.sch.uk; the latter should win.
    // See https://github.com/google/guava/issues/1176

    InternetDomainName domain = InternetDomainName.from("www.essex.sch.uk");
    assertTrue(domain.hasPublicSuffix());

 *
 * @author Dimitris Andreou
 * @author Kurt Alfred Kluever
 */
enum BloomFilterStrategies implements BloomFilter.Strategy {
  /**
   * See "Less Hashing, Same Performance: Building a Better Bloom Filter" by Adam Kirsch and Michael
   * Mitzenmacher. The paper argues that this trick doesn't significantly deteriorate the
   * performance of a Bloom filter (yet only needs two 32bit hash functions).
   */

    linkedHashMultiset = LinkedHashMultiset.create(size);
    treeMultiset = TreeMultiset.create();

    Random random = new Random();

    int sizeRemaining = size;

    // TODO(kevinb): generate better test contents for multisets
    while (sizeRemaining > 0) {
      // The JVM will return interned values for small ints.
      Integer value = random.nextInt(1000) + 128;

     *
     * @see jcifs.BufferCache#releaseBuffer(byte[])
     */
    @Override
    public void releaseBuffer(final byte[] buf) {
        if (buf == null) {
            return;
        }
        // better safe than sorry: prevent leaks if there is some out of bound access
        Arrays.fill(buf, (byte) 0);
        synchronized (this.cache) {
            if (this.freeBuffers < this.cache.length) {

 */
package org.apache.maven.artifact.resolver.filter;

import java.util.Collection;
import java.util.HashSet;
import java.util.Set;

/**
 * Filter to only retain objects in the given scope or better. This implementation allows the accumulation of multiple
 * scopes and their associated implied scopes, so that the user can filter apply a series of implication rules in a

 * This class provides methods to handle authentication details such as
 * authentication scope, credentials, and authentication scheme.
 *
 * <p>
 * It includes constructors to initialize these details and getter and setter
 * methods to access and modify them.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 * <pre>
 * {@code
 * AuthScope authScope = new AuthScope("example.com", 80);

 * This class provides methods to handle authentication details such as
 * authentication scope, credentials, and authentication scheme.
 *
 * <p>
 * It includes constructors to initialize these details and getter and setter
 * methods to access and modify them.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 * <pre>
 * {@code
 * AuthScope authScope = new AuthScope("example.com", 80);

      // test a random slice() of the ByteSource
      Random random = new Random();
      byte[] expected = factory.getExpected(bytes);
      // if expected.length == 0, off has to be 0 but length doesn't matter--result will be empty
      int off = expected.length == 0 ? 0 : random.nextInt(expected.length);
      int len = expected.length == 0 ? 4 : random.nextInt(expected.length - off);

    // Confirm that the connection pool was not corrupted by making another call.
    makeSimpleCall()
  }

  /**
   * If the server returns a full response, it doesn't really matter if the HTTP/2 stream is reset.
   * Attempts to write the request body fails fast.
   */
  @Test
  fun serverTruncatesRequestHttp2OnDuplexRequest() {
    enableProtocol(Protocol.HTTP_2)

    server.enqueue(