* described in the class documentation.
   *
   * @throws NullPointerException if any of {@code elements} is null
   * @since 6.0
   */
  public static <E> ImmutableMultiset<E> copyOf(E[] elements) {
    return copyFromElements(elements);
  }

  /**
   * Returns an immutable multiset containing the given elements, in the "grouped iteration order"

    return (Multiset<T>) iterable;
  }

  /**
   * Returns a copy of {@code multiset} as an {@link ImmutableMultiset} whose iteration order puts
   * the highest count first, with ties broken by the iteration order of the original multiset.
   *
   * @since 11.0
   */
  public static <E> ImmutableMultiset<E> copyHighestCountFirst(Multiset<E> multiset) {

    checkNotNull(iterable);
    Iterators.checkNonnegative(position);
    if (iterable instanceof List) {
      List<? extends T> list = Lists.cast(iterable);
      return (position < list.size()) ? list.get(position) : defaultValue;
    } else {
      Iterator<? extends T> iterator = iterable.iterator();
      Iterators.advance(iterator, position);
      return Iterators.getNext(iterator, defaultValue);
    }
  }

    checkNotNull(iterable);
    Iterators.checkNonnegative(position);
    if (iterable instanceof List) {
      List<? extends T> list = Lists.cast(iterable);
      return (position < list.size()) ? list.get(position) : defaultValue;
    } else {
      Iterator<? extends T> iterator = iterable.iterator();
      Iterators.advance(iterator, position);
      return Iterators.getNext(iterator, defaultValue);
    }
  }

 * amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code

 * amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code

	dLimbs := d.limbs[:size]
	mLimbs := m.nat.limbs[:size]

	// Each iteration of this loop computes x = 2x + b mod m, where b is a bit
	// from y. Effectively, it left-shifts x and adds y one bit at a time,
	// reducing it every time.
	//
	// To do the reduction, each iteration computes both 2x + b and 2x + b - m.
	// The next iteration (and finally the return line) will use either result
	// based on whether 2x + b overflows m.

			switch {
			case k == nil:
				count = "no iteration variables"
			case v == nil:
				count = "one iteration variable"
			default:
				count = "two iteration variables"
			}
			check.softErrorf(&x, InvalidIterVar, "range over %s must have %s", &x, count)
		}
		key, val = k, v
	}

	// Open the for-statement block scope now, after the range clause.

	// We specifically break this out so that we can use defer here safely.
	// One option is to break this out into a new function instead, but
	// there's so much local iteration state used below that this turns out
	// to be cleaner.
	defer i.mu.Unlock()

	var oldEntry *entry[K, V]
	if n != nil {
		oldEntry = n.entry()
		if v, ok := oldEntry.lookup(key, ht.keyEqual); ok {

			switch {
			case k == nil:
				count = "no iteration variables"
			case v == nil:
				count = "one iteration variable"
			default:
				count = "two iteration variables"
			}
			check.softErrorf(&x, InvalidIterVar, "range over %s must have %s", &x, count)
		}
		key, val = k, v
	}

	// Open the for-statement block scope now, after the range clause.