Long.MAX_VALUE
      };

  private static final float[] VALUES = Floats.concat(NUMBERS, new float[] {NaN});

  public void testHashCode() {
    for (float value : VALUES) {
      assertThat(Floats.hashCode(value)).isEqualTo(((Float) value).hashCode());
    }
  }

  public void testIsFinite() {
    for (float value : NUMBERS) {
      assertThat(Floats.isFinite(value))

    assertEquals(42, queue.maximumSize);
    checkNatural(queue);
  }

  private static final ImmutableList<Integer> NUMBERS = ImmutableList.of(4, 8, 15, 16, 23, 42);

  public void testCreation_withContents() {
    MinMaxPriorityQueue<Integer> queue = MinMaxPriorityQueue.create(NUMBERS);
    assertEquals(6, queue.size());
    assertEquals(11, queue.capacity());
    checkUnbounded(queue);
    checkNatural(queue);

  private Defaults() {}

  private static final Double DOUBLE_DEFAULT = 0d;
  private static final Float FLOAT_DEFAULT = 0f;

  /**
   * Returns the default value of {@code type} as defined by JLS --- {@code 0} for numbers, {@code
   * false} for {@code boolean} and {@code '\0'} for {@code char}. For non-primitive types and
   * {@code void}, {@code null} is returned.
   */
  @SuppressWarnings("unchecked")
  @CheckForNull

    BigInteger result = randomPositiveBigInteger(numBits);
    return RANDOM_SOURCE.nextBoolean() ? result : result.negate();
  }

  /**
   * Chooses a number in (-2^numBits, 2^numBits) at random, with density concentrated in numbers of
   * lower magnitude.
   */
  static BigInteger randomBigInteger(int numBits) {
    while (true) {
      if (RANDOM_SOURCE.nextBoolean()) {

   * numbers of keys and values without resizing.
   *
   * <p>This method will soon be deprecated in favor of {@code
   * MultimapBuilder.hashKeys(expectedKeys).arrayListValues(expectedValuesPerKey).build()}.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key

    Optional<Integer> optionalInt = getSomeOptionalInt();
    // Number value = optionalInt.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test
  public void testSampleCodeError2() {
    FluentIterable<? extends Number> numbers = getSomeNumbers();
    Optional<? extends Number> first = numbers.first();
    // Number value = first.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test

        Long.MAX_VALUE
      };

  private static final float[] VALUES = Floats.concat(NUMBERS, new float[] {NaN});

  public void testHashCode() {
    for (float value : VALUES) {
      assertThat(Floats.hashCode(value)).isEqualTo(((Float) value).hashCode());
    }
  }

  public void testIsFinite() {
    for (float value : NUMBERS) {
      assertThat(Floats.isFinite(value))

            BloomFilterStrategies.MURMUR128_MITZ_32);

    // Insert "numInsertions" even numbers into the BF.
    for (int i = 0; i < numInsertions * 2; i += 2) {
      bf.put(Integer.toString(i));
    }
    assertApproximateElementCountGuess(bf, numInsertions);

    // Assert that the BF "might" have all of the even numbers.
    for (int i = 0; i < numInsertions * 2; i += 2) {
      assertTrue(bf.mightContain(Integer.toString(i)));

    double ySumOfSquaresOfDeltas = yStats.sumOfSquaresOfDeltas();
    checkState(xSumOfSquaresOfDeltas > 0.0);
    checkState(ySumOfSquaresOfDeltas > 0.0);
    // The product of two positive numbers can be zero if the multiplication underflowed. We
    // force a positive value by effectively rounding up to MIN_VALUE.
    double productOfSumsOfSquaresOfDeltas =

    Ordering<Number> numbers = Ordering.explicit((Number) 1);
    Ordering<Integer> integers = Ordering.explicit(1);

    // Like by like equals like
    Ordering<Number> a = numbers.compound(numbers);

    // The compound takes the more specific type of the two, regardless of order

    Ordering<Number> b = numbers.compound(objects);
    Ordering<Number> c = objects.compound(numbers);