this.arithmetic = arithmetic;
    }

    @Override
    public int add(int a, int b) {
      return arithmetic.add(a, b);
    }

    @Override
    public int minus(int a, int b) {
      return arithmetic.minus(a, b);
    }

    @Override
    public String toString() {
      return arithmetic.toString();
    }
  }

  private static class FailsToForwardParameters implements Adder {

      this.arithmetic = arithmetic;
    }

    @Override
    public int add(int a, int b) {
      return arithmetic.add(a, b);
    }

    @Override
    public int minus(int a, int b) {
      return arithmetic.minus(a, b);
    }

    @Override
    public String toString() {
      return arithmetic.toString();
    }
  }

  private static class FailsToForwardParameters implements Adder {

   * _could_, so we could keep it as it is. Or we could convince ourselves that hash flooding is
   * unlikely in practice there, too.)
   */

  /**
   * Returns an immutable set containing the given elements, minus duplicates, in the order each was
   * first specified. That is, if multiple elements are {@linkplain Object#equals equal}, all except
   * the first are ignored.
   */
  public static <E> ImmutableSet<E> of(E e1, E e2) {

            request.tid = tid;
            if (inDfs && !service.equals("IPC") && request.path != null && request.path.length() > 0) {
                /* When DFS is in action all request paths are
                 * full UNC paths minus the first backslash like
                 *   \server\share\path\to\file
                 * as opposed to normally
                 *   \path\to\file
                 */

      return bigDecimal.signum();
    }

    @Override
    BigDecimal toX(double d, RoundingMode mode) {
      return new BigDecimal(d);
    }

    @Override
    BigDecimal minus(BigDecimal a, BigDecimal b) {
      return a.subtract(b);
    }
  }

    public static final char DOUBLE_VERTICAL_LINE = '\u2016';

    /** PARALLEL TO */
    public static final char PARALLEL_TO = '\u2225';

    /** MINUS SIGN */
    public static final char MINUS_SIGN = '\u2212';

    /** FULLWIDTH HYPHEN-MINUS */
    public static final char FULLWIDTH_HYPHEN_MINUS = '\uFF0D';

    /** CENT SIGN */
    public static final char CENT_SIGN = '\u00A2';

    sortedMap.put("two", 2);
    sortedMap.put("three", 3);
    return sortedMap;
  }

  @Override
  protected String getKeyNotInPopulatedMap() throws UnsupportedOperationException {
    return "minus one";
  }

  @Override
  protected Integer getValueNotInPopulatedMap() throws UnsupportedOperationException {
    return -1;
  }

    // 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

        UnsignedLong bUnsigned = UnsignedLong.fromLongBits(b);
        long expected =
            aUnsigned.bigIntegerValue().subtract(bUnsigned.bigIntegerValue()).longValue();
        UnsignedLong unsignedSub = aUnsigned.minus(bUnsigned);
        assertThat(unsignedSub.longValue()).isEqualTo(expected);
      }
    }
  }

  public void testTimes() {
    for (long a : TEST_LONGS) {
      for (long b : TEST_LONGS) {

   * given collection in the order returned by the collection's iterator.
   *
   * @param collection the elements that the set should contain
   * @return a new {@code CompactLinkedHashSet} containing those elements (minus duplicates)
   */
  public static <E extends @Nullable Object> CompactLinkedHashSet<E> create(
      Collection<? extends E> collection) {
    CompactLinkedHashSet<E> set = createWithExpectedSize(collection.size());