*
 * @author Louis Wasserman
 * @param <K0> An upper bound on the key type of the generated multimap.
 * @param <V0> An upper bound on the value type of the generated multimap.
 * @since 16.0
 */
@GwtCompatible
public abstract class MultimapBuilder<K0 extends @Nullable Object, V0 extends @Nullable Object> {
  /*
   * Leaving K and V as upper bounds rather than the actual key and value types allows type

 *
 * @author Louis Wasserman
 * @param <K0> An upper bound on the key type of the generated multimap.
 * @param <V0> An upper bound on the value type of the generated multimap.
 * @since 16.0
 */
@GwtCompatible
public abstract class MultimapBuilder<K0 extends @Nullable Object, V0 extends @Nullable Object> {
  /*
   * Leaving K and V as upper bounds rather than the actual key and value types allows type

    protected int dataDisplacement;

    /** Total number of parameter bytes to be sent */
    protected int totalParameterCount;
    /** Total number of data bytes to be sent */
    protected int totalDataCount;
    /** Maximum number of parameter bytes the server should return */
    protected int maxParameterCount;
    /** Maximum number of data bytes the server should return */
    protected int maxDataCount;

            .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")
            .build();

    private int pad;
    private int pad1;
    private boolean parametersDone, dataDone;

    /** Total number of parameter bytes the server is returning */
    protected int totalParameterCount;
    /** Total number of data bytes the server is returning */
    protected int totalDataCount;
    /** Number of parameter bytes in this response */
    protected int parameterCount;

    }
    // TODO(lowasser): benchmark when it's best to do a linear search

    int lower = 0;
    int upper = list.size() - 1;

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;
      int c = comparator.compare(key, list.get(middle));
      if (c < 0) {
        upper = middle - 1;
      } else if (c > 0) {
        lower = middle + 1;
      } else {
        return lower

      @ParametricNullness T a, @ParametricNullness T b, Comparator<? super T> comparator) {
    return (comparator.compare(a, b) <= 0) ? a : b;
  }

  /**
   * Returns the maximum of the two values. If the values compare as 0, the first is returned.
   *
   * <p>The recommended solution for finding the {@code maximum} of some values depends on the type
   * of your data and the number of elements you have. Read more in the Guava User Guide article on

      }
      return array;
    }

    /** Number of bits */
    long bitSize() {
      return (long) data.length() * Long.SIZE;
    }

    /**
     * Number of set bits (1s).
     *
     * <p>Note that because of concurrent set calls and uses of atomics, this bitCount is a (very)
     * close *estimate* of the actual number of bits set. It's not possible to do better than an

		case "e":
			z.ETag, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "ETag")
				return
			}
		case "n":
			z.Number, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Number")
				return
			}
		case "s":
			z.Size, err = dc.ReadInt64()
			if err != nil {
				err = msgp.WrapError(err, "Size")
				return
			}
		case "as":

    Map<String, Integer> map = new HashMap<>();
    map.put("One", 1);
    map.put("Three", 3);
    Number number = Double.valueOf(42);
    Function<String, Number> function = Functions.forMap(map, number);

    assertEquals(1, function.apply("One").intValue());
    assertEquals(number, function.apply("Two"));
    assertEquals(3L, function.apply("Three").longValue());
  }

  public void testComposition() {