}

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // 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) {

 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code
 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for

    assertEquals(
        "Modifying the builder should not have changed any already" + " built sets",
        216,
        webSafeColors.size());
    assertEquals("the new array should be one bigger than webSafeColors", 217, addedColor.size());
    Integer[] appendColorArray = addedColor.toArray(new Integer[addedColor.size()]);
    assertEquals(0x00BFFF, (int) appendColorArray[216]);
  }

              || !fitsInLong(BigIntegerMath.binomial(LongMath.biggestBinomials[k] + 1, k)));
      // In the first case, any long is valid; in the second, we want to test that the next-bigger
      // long overflows.
    }
    int k = LongMath.biggestBinomials.length;
    assertFalse(fitsInLong(BigIntegerMath.binomial(2 * k, k)));
    // 2 * k is the smallest value for which we don't replace k with (n-k).

 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage
 * collector by only using a constant number of internal objects.
 *

    byte[] key = fillByteArray(80, 0xaa);
    String data = "Test Using Larger Than Block-Size Key - Hash Key First";

    checkSha1("aa4ae5e15272d00e95705637ce8a3b55ed402112", key, data);
  }

  public void testRfc2202_hmacSha1_case7() {
    byte[] key = fillByteArray(80, 0xaa);
    String data = "Test Using Larger Than Block-Size Key and Larger Than One Block-Size Data";

    void put(R row, C column, V value, BinaryOperator<V> merger) {
      MutableCell<R, C, V> oldCell = table.get(row, column);
      if (oldCell == null) {
        MutableCell<R, C, V> cell = new MutableCell<>(row, column, value);
        insertionOrder.add(cell);
        table.put(row, column, cell);
      } else {
        oldCell.merge(value, merger);
      }
    }

          format(
              "estimated size of spliterator after trySplit (%s) is larger than original size (%s)",
              spliterator.estimateSize(), originalSize));
    }
    if (trySplit != null) {
      if (trySplit.estimateSize() > originalSize) {
        fail(
            format(
                "estimated size of trySplit result (%s) is larger than original size (%s)",
                trySplit.estimateSize(), originalSize));

        while (true) {
          // Skip the elements smaller than the partition.
          do {
            low++;
          } while (array[low] < partition);

          // Skip the elements larger than the partition.
          do {
            high--;
          } while (array[high] > partition);
          if (high < low) {
            break; // Pointers crossed. Partitioning complete.
          }

        while (true) {
          // Skip the elements smaller than the partition.
          do {
            low++;
          } while (array[low] < partition);

          // Skip the elements larger than the partition.
          do {
            high--;
          } while (array[high] > partition);
          if (high < low) {
            break; // Pointers crossed. Partitioning complete.
          }