CollectSpliterators.flatMap(
                    Arrays.spliterator(new String[] {"abc", "", "de", "f", "g", ""}),
                    (String str) -> charactersOf(str).spliterator(),
                    Spliterator.SIZED | Spliterator.DISTINCT | Spliterator.NONNULL,
                    7))
        .expect('a', 'b', 'c', 'd', 'e', 'f', 'g');
  }

  public void testFlatMap_nullStream() {
    SpliteratorTester.of(
            () ->

    // TODO(lowasser): consider an implementation that can support SUBSIZED
    boolean isParallel = false;
    int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
    long estimatedSize = 0L;
    ImmutableList.Builder<Spliterator<? extends T>> splitrsBuilder =
        new ImmutableList.Builder<>(streams.length);
    for (Stream<? extends T> stream : streams) {

public abstract class ImmutableCollection<E> extends AbstractCollection<E> implements Serializable {
  /*
   * We expect SIZED (and SUBSIZED, if applicable) to be added by the spliterator factory methods.
   * These are properties of the collection as a whole; SIZED and SUBSIZED are more properties of
   * the spliterator implementation.
   */
  static final int SPLITERATOR_CHARACTERISTICS =

public abstract class ImmutableCollection<E> extends AbstractCollection<E> implements Serializable {
  /*
   * We expect SIZED (and SUBSIZED, if applicable) to be added by the spliterator factory methods.
   * These are properties of the collection as a whole; SIZED and SUBSIZED are more properties of
   * the spliterator implementation.
   */

        assertEquals(data.hashCode(), blob.hashCode(), "hashCode should equal the array's hashCode");
    }

    // Validates equals() returns true for same-sized, equal-content blobs
    @Test
    @DisplayName("equals: identical content and size -> true")
    void equals_identicalContent_true() {
        // Arrange
        byte[] a = new byte[] { 1, 2, 3 };

        byte[] got = impl.getBuffer();
        assertNotNull(got);
        assertEquals(8, got.length, "Allocation uses configured maximum size when cache is empty");
        assertNotSame(supplied, got, "Zero-sized cache must not return the released instance");
    }

    // Edge: releasing null must be a no-op without exceptions
    @Test
    @DisplayName("releaseBuffer(null) is a no-op and does not throw")

    long[] array = stream.toArray();
    return (array.length == 0) ? EMPTY : new ImmutableLongArray(array);
  }

  /**
   * Returns a new, empty builder for {@link ImmutableLongArray} instances, sized to hold up to
   * {@code initialCapacity} values without resizing. The returned builder is not thread-safe.
   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number

    int[] array = stream.toArray();
    return (array.length == 0) ? EMPTY : new ImmutableIntArray(array);
  }

  /**
   * Returns a new, empty builder for {@link ImmutableIntArray} instances, sized to hold up to
   * {@code initialCapacity} values without resizing. The returned builder is not thread-safe.
   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number

there are limitations to what a Go implementation can do in response to a data race.
An implementation may always react to a data race by reporting the race and terminating the program.
Otherwise, each read of a single-word-sized or sub-word-sized memory location
must observe a value actually written to that location (perhaps by a concurrent executing goroutine)
and not yet overwritten.
These implementation constraints make Go more like Java or JavaScript,

  @GwtIncompatible // java.math.BigInteger
  public void testMean() {
    // Odd-sized ranges have an obvious mean
    assertMean(2, 1, 3);

    assertMean(-2, -3, -1);
    assertMean(0, -1, 1);
    assertMean(1, -1, 3);
    assertMean((1 << 30) - 1, -1, Integer.MAX_VALUE);

    // Even-sized ranges should prefer the lower mean
    assertMean(2, 1, 4);
    assertMean(-3, -4, -1);