private static final long serialVersionUID = 1L;

            @Override
            public String getTimeAdjustTimeMillis() {
                return "0x1000"; // Hex notation string
            }

            @Override
            public Long getTimeAdjustTimeMillisAsLong() {
                return 4096L; // Decimal equivalent
            }
        };

    }
  }

  // 128 - [chars 0x0000 to 0x007f]
  private static final long ONE_BYTE_ROUNDTRIPPABLE_CHARACTERS = 0x007f - 0x0000 + 1;

  // 128
  private static final long EXPECTED_ONE_BYTE_ROUNDTRIPPABLE_COUNT =
      ONE_BYTE_ROUNDTRIPPABLE_CHARACTERS;

  // 1920 [chars 0x0080 to 0x07FF]
  private static final long TWO_BYTE_ROUNDTRIPPABLE_CHARACTERS = 0x07FF - 0x0080 + 1;

  // 18,304

  }

  public void testCopyOf_iterable_notCollection_nonempty() {
    List<Double> list = Arrays.asList(0.0, 1.0, 3.0);
    ImmutableDoubleArray iia = ImmutableDoubleArray.copyOf(iterable(list));
    list.set(2, 2.0);
    assertThat(iia.asList()).containsExactly(0.0, 1.0, 3.0).inOrder();
  }

  public void testCopyOf_iterable_collection_empty() {
    Iterable<Double> iterable = Collections.emptySet();

 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;
  static final int ARRAY_MASK = 0x0ffff;
  static final Random RANDOM_SOURCE = new Random(314159265358979L);
  static final int MAX_EXPONENT = 100;

  /*
   * Duplicated from LongMath.

  }

  public void testCopyOf_iterable_notCollection_nonempty() {
    List<Double> list = Arrays.asList(0.0, 1.0, 3.0);
    ImmutableDoubleArray iia = ImmutableDoubleArray.copyOf(iterable(list));
    list.set(2, 2.0);
    assertThat(iia.asList()).containsExactly(0.0, 1.0, 3.0).inOrder();
  }

  public void testCopyOf_iterable_collection_empty() {
    Iterable<Double> iterable = Collections.emptySet();

  }

  public void testAsList_toArray_roundTrip() {
    double[] array = {0.0, 1.0, 2.0};
    List<Double> list = Doubles.asList(array);
    double[] newArray = Doubles.toArray(list);

    // Make sure it returned a copy
    list.set(0, 4.0);
    assertThat(newArray).isEqualTo(new double[] {0.0, 1.0, 2.0});
    newArray[1] = 5.0;
    assertThat((double) list.get(1)).isEqualTo(1.0);
  }

 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;
  static final int ARRAY_MASK = 0x0ffff;
  static final Random RANDOM_SOURCE = new Random(314159265358979L);
  static final int MAX_EXPONENT = 100;

  /*
   * Duplicated from LongMath.

        // Test with different implementations to ensure interface contract
        IndexUpdateCallback callback1 = createMockCallback(10, 500);
        IndexUpdateCallback callback2 = createMockCallback(20, 1000);

        assertEquals(10L, callback1.getDocumentSize());
        assertEquals(500L, callback1.getExecuteTime());

        assertEquals(20L, callback2.getDocumentSize());

            102,
            Math.scalb(1.0, 53),
            Integer.MIN_VALUE,
            Integer.MAX_VALUE,
            Long.MIN_VALUE,
            Long.MAX_VALUE)) {
      for (double delta : Doubles.asList(0.0, 1.0, 2.0)) {
        integralBuilder.addAll(Doubles.asList(d + delta, d - delta, -d - delta, -d + delta));
      }
      for (double delta : Doubles.asList(0.01, 0.1, 0.25, 0.499, 0.5, 0.501, 0.7, 0.8)) {

  }

  public void testAsList_toArray_roundTrip() {
    double[] array = {0.0, 1.0, 2.0};
    List<Double> list = Doubles.asList(array);
    double[] newArray = Doubles.toArray(list);

    // Make sure it returned a copy
    list.set(0, 4.0);
    assertThat(newArray).isEqualTo(new double[] {0.0, 1.0, 2.0});
    newArray[1] = 5.0;
    assertThat((double) list.get(1)).isEqualTo(1.0);
  }