* map that behaves similarly to a {@link ConcurrentHashMap}.
 *
 * <p>The returned map is implemented as a hash table with similar performance characteristics to
 * {@link ConcurrentHashMap}. It supports all optional operations of the {@code ConcurrentMap}
 * interface. It does not permit null keys or values.
 *

		IMAGE_SCN_LNK_NRELOC_OVFL        = 0x1000000
		IMAGE_SCN_ALIGN_32BYTES          = 0x600000
	)
	for _, sect := range x.f.Sections {
		if sect.VirtualAddress != 0 && sect.Size != 0 &&
			sect.Characteristics&^IMAGE_SCN_ALIGN_32BYTES == IMAGE_SCN_CNT_INITIALIZED_DATA|IMAGE_SCN_MEM_READ|IMAGE_SCN_MEM_WRITE {
			return uint64(sect.VirtualAddress) + x.imageBase(), uint64(sect.VirtualSize)
		}
	}
	return 0, 0
}

        StatsAccumulator::new,
        (a, x) -> a.add(x.doubleValue()),
        (l, r) -> {
          l.addAll(r);
          return l;
        },
        StatsAccumulator::snapshot,
        Collector.Characteristics.UNORDERED);
  }

  /** Returns the number of values. */
  public long count() {
    return count;
  }

  /**

	}
}

// fakeFile provides an fs.FileInfo implementation for an overlaid file,
// so that the file has the name of the overlaid file, but takes all
// other characteristics of the replacement file.
type fakeFile struct {
	name string
	real fs.FileInfo
}

func (f fakeFile) Name() string       { return f.name }
func (f fakeFile) Size() int64        { return f.real.Size() }

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

  /** An implementation of {@link Multiset#size}. */

  }

  /**
   * Implementation of a transforming random access list. We try to make as many of these methods
   * pass-through to the source list as possible so that the performance characteristics of the
   * source list and transformed list are similar.
   *
   * @see Lists#transform
   */
  private static class TransformingRandomAccessList<

  }

  /**
   * Implementation of a transforming random access list. We try to make as many of these methods
   * pass-through to the source list as possible so that the performance characteristics of the
   * source list and transformed list are similar.
   *
   * @see Lists#transform
   */
  private static class TransformingRandomAccessList<

	i = ((i << 1) & 0xa) | ((i >> 1) & 0x5)
	return i
}

// gcmAdd adds two elements of GF(2¹²⁸) and returns the sum.
func gcmAdd(x, y *gcmFieldElement) gcmFieldElement {
	// Addition in a characteristic 2 field is just XOR.
	return gcmFieldElement{x.low ^ y.low, x.high ^ y.high}
}

// gcmDouble returns the result of doubling an element of GF(2¹²⁸).
func gcmDouble(x *gcmFieldElement) (double gcmFieldElement) {

 *       always returns zero could be called a hash function. It is not.)
 * </ul>
 *
 * <p>Summarizing the last two points: "equal yield equal <i>always</i>; unequal yield unequal
 * <i>often</i>." This is the most important characteristic of all hash functions.
 *
 * <h3>Desirable properties</h3>
 *
 * <p>A high-quality hash function strives for some subset of the following virtues:
 *
 * <ul>

 *       always returns zero could be called a hash function. It is not.)
 * </ul>
 *
 * <p>Summarizing the last two points: "equal yield equal <i>always</i>; unequal yield unequal
 * <i>often</i>." This is the most important characteristic of all hash functions.
 *
 * <h3>Desirable properties</h3>
 *
 * <p>A high-quality hash function strives for some subset of the following virtues:
 *
 * <ul>