*       actually do so, to avoid implying repeat-iterability.) {@code FluentIterable}, on the other
 *       hand, is multiple-use, and does implement {@link Iterable}.
 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.

  /*
   * TODO: Make this a drop-in replacement for j.u. versions, actually drop them in, and test the
   * world. Figure out what sort of space-time tradeoff we're actually going to get here with the
   * *Map variants. This class is particularly hard to benchmark, because the benefit is not only in
   * less allocation, but also having the GC do less work to scan the heap because of fewer

 *       actually do so, to avoid implying repeat-iterability.) {@code FluentIterable}, on the other
 *       hand, is multiple-use, and does implement {@link Iterable}.
 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.

          }

          else -> {
            null
          }
        }
      }

    // If the call's connection wasn't released, reuse it. We don't call connectionAcquired() here
    // because we already acquired it.
    if (call.connection != null) {
      check(toClose == null)
      return ReusePlan(candidate)
    }

    // The call's connection was released.

        val testNameParameterName = "testName"
        val testTaskOptionsParameterName = "testTaskOptions"
        applyDefaultSettings(os, arch, buildJvm = BuildToolBuildJvm, timeout = 0)

        // Show all failed tests here, since that is what we are interested in
        failureConditions.supportTestRetry = false

        val extraParameters =
            functionalTestExtraParameters(
                listOf("RerunFlakyTest"),

            // TODO: Maybe this could be simplified by not using the copy infrastructure and just
            // calling the FilterReader ourselves.  We're just taking one file and turning it into another.

            // The order here is important! tokens are inserted by the transformer
            Map<String, Object> parameters = new HashMap<>();
            // NOTE: These parameter names _must_ match the setter names in ReleaseNotesTransformer

 *
 * @author Colin Decker
 */
@NullUnmarked
public class AbstractByteHasherTest extends TestCase {

  public void testBytes() {
    TestHasher hasher = new TestHasher(); // byte order insignificant here
    byte[] expected = {1, 2, 3, 4, 5, 6, 7, 8};
    hasher.putByte((byte) 1);
    hasher.putBytes(new byte[] {2, 3, 4, 5, 6});
    hasher.putByte((byte) 7);
    hasher.putBytes(new byte[] {});

   */
  private static final int MAX_HASH_BUCKET_LENGTH = 9;

  // See CompactHashMap for a detailed description of how the following fields work. That
  // description talks about `keys`, `values`, and `entries`; here the `keys` and `values` arrays
  // are replaced by a single `elements` array but everything else works similarly.

  /**
   * The hashtable object. This can be either:
   *
   * <ul>

     * Two CharMappingItem objects are equal if they have the same inputs and output.
     * Note: inputs arrays are sorted in the constructor, so no sorting is needed here.
     *
     * @param obj the object to compare with
     * @return true if the objects are equal, false otherwise
     */
    @Override
    public boolean equals(final Object obj) {
        if (this == obj) {

 *
 * @author Dimitris Andreou
 */
@NullUnmarked
public class AbstractStreamingHasherTest extends TestCase {
  public void testBytes() {
    Sink sink = new Sink(4); // byte order insignificant here
    byte[] expected = {1, 2, 3, 4, 5, 6, 7, 8};
    sink.putByte((byte) 1);
    sink.putBytes(new byte[] {2, 3, 4, 5, 6});
    sink.putByte((byte) 7);
    sink.putBytes(new byte[] {});
    sink.putBytes(new byte[] {8});