}

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Short> list = Shorts.asList(VALUES).subList(0, i);
        Collection<Short> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        short[] arr = Shorts.toArray(misleadingSize);

  }

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Float> list = Floats.asList(VALUES).subList(0, i);
        Collection<Float> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        float[] arr = Floats.toArray(misleadingSize);

  }

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Integer> list = Ints.asList(VALUES).subList(0, i);
        Collection<Integer> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        int[] arr = Ints.toArray(misleadingSize);

  }

  public void testToArray_threadSafe() {
    for (int delta : new int[] {+1, 0, -1}) {
      for (int i = 0; i < VALUES.length; i++) {
        List<Float> list = Floats.asList(VALUES).subList(0, i);
        Collection<Float> misleadingSize = Helpers.misleadingSizeCollection(delta);
        misleadingSize.addAll(list);
        float[] arr = Floats.toArray(misleadingSize);

    sink.close()
  }

  /**
   * @param delta the offset from the current date to use. Negative values yield dates in the past;
   * positive values yield dates in the future.
   */
  private fun formatDate(
    delta: Long,
    timeUnit: TimeUnit,
  ): String = formatDate(Date(System.currentTimeMillis() + timeUnit.toMillis(delta)))

  private fun formatDate(date: Date): String {

    val startNanos = System.nanoTime()
    assertFailsWith<InterruptedIOException> {
      stream.takeHeaders()
    }
    val elapsedNanos = System.nanoTime() - startNanos
    awaitWatchdogIdle()
    // 200ms delta
    assertThat(TimeUnit.NANOSECONDS.toMillis(elapsedNanos).toDouble())
      .isCloseTo(500.0, 200.0)
    assertThat(connection.openStreamCount()).isEqualTo(0)

    // Verify the peer received what was expected.

    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about
    // twice as many reads and writes. But benchmarking shows that they usually perform better than

018B          ; mapped                 ; 018C          # 1.1  LATIN CAPITAL LETTER D WITH TOPBAR
018C..018D    ; valid                                  # 1.1  LATIN SMALL LETTER D WITH TOPBAR..LATIN SMALL LETTER TURNED DELTA
018E          ; mapped                 ; 01DD          # 1.1  LATIN CAPITAL LETTER REVERSED E
018F          ; mapped                 ; 0259          # 1.1  LATIN CAPITAL LETTER SCHWA

dell

// deloitte : Deloitte Touche Tohmatsu
// https://www.iana.org/domains/root/db/deloitte.html
deloitte

// delta : Delta Air Lines, Inc.
// https://www.iana.org/domains/root/db/delta.html
delta

// democrat : Dog Beach, LLC
// https://www.iana.org/domains/root/db/democrat.html
democrat

// dental : Binky Moon, LLC

    double x1 = 1.2;
    double y1 = 3.4;
    double xDelta = 5.6;
    double yDelta = 7.8;
    LinearTransformation transformation =
        LinearTransformation.mapping(x1, y1).and(x1 + xDelta, y1 + yDelta);
    assertDiagonalLinearTransformation(transformation, x1, y1, xDelta, yDelta);
  }

  public void testMappingAnd_horizontal() {
    double x1 = 1.2;
    double xDelta = 3.4;
    double y = 5.6;