want = strconv.AppendInt(want, int64(i), 10)
		got.Write(b)
	}
	if !Equal(got.Bytes(), want) {
		t.Fatalf("Bytes() = %q, want %q", &got, want)
	}

	// With a sufficiently sized buffer, there should be no allocations.
	n := testing.AllocsPerRun(100, func() {
		got.Reset()
		for i := 0; i < 1000; i++ {
			b := got.AvailableBuffer()
			b = strconv.AppendInt(b, int64(i), 10)
			got.Write(b)

              valueCollection.spliterator(),
              Spliterator.ORDERED | Spliterator.NONNULL | Spliterator.IMMUTABLE,
              (V value) -> immutableEntry(key, value));
        },
        Spliterator.SIZED | (this instanceof SetMultimap ? Spliterator.DISTINCT : 0),
        size());
  }

  @Override
  public void forEach(BiConsumer<? super K, ? super V> action) {
    checkNotNull(action);
    asMap()

    return new Builder<>(comparator);
  }

  /**
   * Creates and returns a new builder, configured to build {@code MinMaxPriorityQueue} instances
   * sized appropriately to hold {@code expectedSize} elements.
   */
  @SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989
  public static Builder<Comparable> expectedSize(int expectedSize) {

  /**
   * Combines this Bloom filter with another Bloom filter by performing a bitwise OR of the
   * underlying data. The mutations happen to <b>this</b> instance. Callers must ensure the Bloom
   * filters are appropriately sized to avoid saturating them.
   *
   * @param that The Bloom filter to combine this Bloom filter with. It is not mutated.
   * @throws IllegalArgumentException if {@code isCompatible(that) == false}
   * @since 15.0
   */

	// then it uses the first format (in the order of USTAR, PAX, GNU)
	// capable of encoding this Header (see Format).
	Format Format
}

// sparseEntry represents a Length-sized fragment at Offset in the file.
type sparseEntry struct{ Offset, Length int64 }

func (s sparseEntry) endOffset() int64 { return s.Offset + s.Length }

    return CollectSpliterators.flatMap(
        entrySpliterator,
        (Entry<E> entry) -> Collections.nCopies(entry.getCount(), entry.getElement()).spliterator(),
        Spliterator.SIZED
            | (entrySpliterator.characteristics()
                & (Spliterator.ORDERED | Spliterator.NONNULL | Spliterator.IMMUTABLE)),
        multiset.size());
  }

  @J2ktIncompatible
  public static ByteArrayDataOutput newDataOutput() {
    return newDataOutput(new ByteArrayOutputStream());
  }

  /**
   * Returns a new {@link ByteArrayDataOutput} instance sized to hold {@code size} bytes before
   * resizing.
   *
   * @throws IllegalArgumentException if {@code size} is negative
   */
  @J2ktIncompatible
  public static ByteArrayDataOutput newDataOutput(int size) {

   * amount.
   *
   * @param estimatedSize an estimate of the eventual {@link List#size()} of the new list
   * @return a new, empty {@code ArrayList}, sized appropriately to hold the estimated number of
   *     elements
   * @throws IllegalArgumentException if {@code estimatedSize} is negative
   */

	}

	// Update size...
	binary.BigEndian.PutUint32(dst[dataOffset-4:dataOffset], uint32(len(dst)-dataOffset))

	// Add CRC of metadata as fixed size (5 bytes)
	// Prior to v1.3 this was variable sized.
	tmp = tmp[:5]
	tmp[0] = 0xce // muint32
	binary.BigEndian.PutUint32(tmp[1:], uint32(xxhash.Sum64(dst[dataOffset:])))
	dst = append(dst, tmp[:5]...)
	return append(dst, x.data...), nil
}

    if (!status->status.ok()) return false;
  }
  return true;
}

// Create an empty tensor of type 'dtype'. 'shape' can be arbitrary, but has to
// result in a zero-sized tensor.
static TF_Tensor* EmptyTensor(TF_DataType dtype,
                              const tensorflow::TensorShape& shape) {
  static char empty;
  int64_t nelems = 1;
  std::vector<int64_t> dims;