List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Shorts.toArray(bytes)).isEqualTo(array);
    assertThat(Shorts.toArray(shorts)).isEqualTo(array);
    assertThat(Shorts.toArray(ints)).isEqualTo(array);

            }
            buf.append('}');
        } else if (obj instanceof Integer || obj instanceof Long || obj instanceof Float || obj instanceof Double) {
            buf.append(obj);
        } else if (obj instanceof Boolean) {
            buf.append(obj.toString());
        } else if (obj instanceof Date) {

    /** The key of the message: It may have been processed before this request. Please try again. */
    public static final String ERRORS_APP_DOUBLE_SUBMIT_REQUEST = "{errors.app.double.submit.request}";

    /** The key of the message: Invalid username or password. */
    public static final String ERRORS_login_error = "{errors.login_error}";

 * common (perhaps <i>more</i> common) for round-trip conversion to be <i>lossy</i>. Consider an
 * example round-trip using {@link com.google.common.primitives.Doubles#stringConverter}:
 *
 * <ol>
 *   <li>{@code stringConverter().convert("1.00")} returns the {@code Double} value {@code 1.0}
 *   <li>{@code stringConverter().reverse().convert(1.0)} returns the string {@code "1.0"} --

  public static CharMatcher invisible() {
    return Invisible.INSTANCE;
  }

  /**
   * Determines whether a character is single-width (not double-width). When in doubt, this matcher
   * errs on the side of returning {@code false} (that is, it tends to assume a character is
   * double-width).
   *
   * <p><b>Note:</b> as the reference file evolves, we will modify this matcher to keep it up to
   * date.
   *

    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Floats.toArray(bytes)).isEqualTo(array);
    assertThat(Floats.toArray(shorts)).isEqualTo(array);
    assertThat(Floats.toArray(ints)).isEqualTo(array);

    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Ints.toArray(bytes)).isEqualTo(array);
    assertThat(Ints.toArray(shorts)).isEqualTo(array);
    assertThat(Ints.toArray(ints)).isEqualTo(array);
    assertThat(Ints.toArray(floats)).isEqualTo(array);
    assertThat(Ints.toArray(longs)).isEqualTo(array);
    assertThat(Ints.toArray(doubles)).isEqualTo(array);
  }

    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Floats.toArray(bytes)).isEqualTo(array);
    assertThat(Floats.toArray(shorts)).isEqualTo(array);
    assertThat(Floats.toArray(ints)).isEqualTo(array);

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based
   * implementation. Experimentally determined.
   */

  // We use power-of-2 tables, and this is the highest int that's a power of 2
  static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  // Represents how tightly we can pack things, as a maximum.
  private static final double DESIRED_LOAD_FACTOR = 0.7;

  // If the set has this many elements, it will "max out" the table size
  private static final int CUTOFF = (int) (MAX_TABLE_SIZE * DESIRED_LOAD_FACTOR);

  /**