/**
   * Returns the value corresponding to the specified row and column indices. The same value is
   * returned by {@code get(rowKeyList().get(rowIndex), columnKeyList().get(columnIndex))}, but this
   * method runs more quickly.
   *
   * @param rowIndex position of the row key in {@link #rowKeyList()}
   * @param columnIndex position of the row key in {@link #columnKeyList()}
   * @return the value with the specified row and column

 * the configuration properties of the original map. During deserialization, if the original map had
 * used weak references, the entries are reconstructed as they were, but it's not unlikely they'll
 * be quickly garbage-collected before they are ever accessed.
 *
 * <p>{@code new MapMaker().weakKeys().makeMap()} is a recommended replacement for {@link

   *
   * <p>The expected (but not guaranteed) performance of the special implementation differs from
   * {@code getStackTrace} in one main way: The {@code lazyStackTrace} call itself returns quickly
   * by delaying the per-stack-frame work until each element is accessed. Roughly speaking:
   *
   * <ul>
   *   <li>{@code getStackTrace} takes {@code stackSize} time to return but then negligible time to

  }

  /**
   * Returns an {@code ImmutableList} containing the same elements, in the same order, as this
   * collection.
   *
   * <p><b>Performance note:</b> in most cases this method can return quickly without actually
   * copying anything. The exact circumstances under which the copy is performed are undefined and
   * subject to change.
   *
   * @since 2.0
   */
  public ImmutableList<E> asList() {

  }

  /**
   * Returns an {@code ImmutableList} containing the same elements, in the same order, as this
   * collection.
   *
   * <p><b>Performance note:</b> in most cases this method can return quickly without actually
   * copying anything. The exact circumstances under which the copy is performed are undefined and
   * subject to change.
   *
   * @since 2.0
   */
  public ImmutableList<E> asList() {

 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *

    return ImmutableEnumSet.asImmutable(EnumSet.copyOf((EnumSet) enumSet));
  }

  ImmutableSet() {}

  /** Returns {@code true} if the {@code hashCode()} method runs quickly. */
  boolean isHashCodeFast() {
    return false;
  }

  @Override
  public boolean equals(@Nullable Object object) {
    if (object == this) {
      return true;
    }

            .add("in", "the", "quick", "jumped", "over", "a")
            .build();
    assertThat(set).containsExactly("a", "in", "the", "over", "quick", "jumped").inOrder();
  }

  public void testExplicit_ordering_dupes() {
    SortedSet<String> set =
        ImmutableSortedSet.orderedBy(STRING_LENGTH)
            .add("in", "the", "quick", "brown", "fox", "jumped", "over", "a", "lazy", "dog")

        };
    assertCrc(0xd9963a56, scsiReadCommand);
  }

  // Known values from http://www.evanjones.ca/crc32c.html
  public void testSomeOtherKnownValues() {
    assertCrc(0x22620404, "The quick brown fox jumps over the lazy dog".getBytes(UTF_8));
    assertCrc(0xE3069283, "123456789".getBytes(UTF_8));
    assertCrc(0xf3dbd4fe, "1234567890".getBytes(UTF_8));
    assertCrc(0xBFE92A83, "23456789".getBytes(UTF_8));
  }

          "site.gr",
          "site.gr.jp",
          "site.jp",
          "site.lg.jp",
          "site.ma",
          "site.mk",
          "site.ne.jp",
          "site.or.jp",
          "site.quick.jp",
          "site.tenki.jp",
          "site.tv",
          "site.us",
          "some.org.mk",
          "stanford.edu",
          "state.ca.us",
          "uomi-online.kir.jp",