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) {

                this.specs = uncheckedCast(Iterators.toArray(iterator, Spec.class));
            }
        }
    }

    @SuppressWarnings({"unchecked", "TypeParameterUnusedInFormals"})
    static <T> T uncheckedCast(Object object) {
        return (T) object;
    }

    // Not public. Evaluation of these specs is a major hot spot for large builds, so use an array for iteration
    Spec<? super T>[] getSpecsArray() {

    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);
    }
  }

import org.gradle.internal.build.BuildState;
import org.gradle.internal.code.UserCodeApplicationContext;
import org.gradle.internal.operations.BuildOperationContext;
import org.gradle.internal.operations.BuildOperationDescriptor;
import org.gradle.internal.operations.BuildOperationRunner;
import org.gradle.internal.operations.CallableBuildOperation;
import org.gradle.tooling.provider.model.ParameterizedToolingModelBuilder;

    }
  }

  /**
   * Returns an immutable set instance containing the given enum elements. Internally, the returned
   * set will be backed by an {@link EnumSet}.
   *
   * <p>The iteration order of the returned set follows the enum's iteration order, not the order in
   * which the elements are provided to the method.
   *
   * @param anElement one of the elements the set should contain

// Picks the device for which XLA should compile a cluster that contains
// operations placed in devices in `devices`.  For instance a cluster that
// contains operations solely placed on the CPU will be compiled into a CPU
// executable by XLA, whereas a cluster that contains operations placed on the
// CPU and also operations placed on the GPU will be compiled into a GPU
// executable.
//

    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);
    }
  }

            if (graph.isDirected()) {
              return Iterators.unmodifiableIterator(
                  Iterators.concat(
                      Iterators.transform(
                          graph.predecessors(node).iterator(),
                          (N predecessor) -> EndpointPair.ordered(predecessor, node)),
                      Iterators.transform(

			kv.SetIterKey(iter)
			seenk ^= kv.Uint()
			kv.SetIterValue(iter)
			seenv ^= kv.Uint()
		}
		if seenk != 0b111 {
			t.Errorf("iteration yielded keys %b, want %b", seenk, 0b111)
		}
		if seenv != 0b1110 {
			t.Errorf("iteration yielded values %b, want %b", seenv, 0b1110)
		}
	}

	// Reset should not allocate.
	n := int(testing.AllocsPerRun(10, func() {
		iter.Reset(ValueOf(m2))

            if (graph.isDirected()) {
              return Iterators.unmodifiableIterator(
                  Iterators.concat(
                      Iterators.transform(
                          graph.predecessors(node).iterator(),
                          (N predecessor) -> EndpointPair.ordered(predecessor, node)),
                      Iterators.transform(