* and because threads are typically not bound to CPUS forever,
   * may not occur at all. However, despite these limitations,
   * observed contention rates are typically low in these cases.
   *
   * It is possible for a Cell to become unused when threads that
   * once hashed to it terminate, as well as in the case where
   * doubling the table causes no thread to hash to it under

  Service stopAsync();

  /**
   * Waits for the {@link Service} to reach the {@linkplain State#RUNNING running state}.
   *
   * @throws IllegalStateException if the service reaches a state from which it is not possible to
   *     enter the {@link State#RUNNING} state. e.g. if the {@code state} is {@code
   *     State#TERMINATED} when this method is called then this will throw an IllegalStateException.
   * @since 15.0
   */

	for i, meta := range partsMetadata {
		if fi.XLV1 == meta.XLV1 {
			continue
		}
		onlineDisks[i] = nil
	}
}

// Notes:
// There are 5 possible states a disk could be in,
// 1. __online__             - has the latest copy of xl.meta - returned by listOnlineDisks
//
// 2. __offline__            - err == errDiskNotFound
//

    } else {
      result += current
      current = if (i.hasNext()) i.next() else break
    }
  }

  return result
}

/** Returns a copy of [mappings] with adjacent ranges merged wherever possible. */
internal fun mergeAdjacentRanges(mappings: List<Mapping>): List<Mapping> {
  var index = 0
  val result = mutableListOf<Mapping>()

  while (index < mappings.size) {
    val mapping = mappings[index]

In this case, the list would have to include `http://localhost:8080` for the `:8080`-frontend to work correctly.

## Wildcards { #wildcards }

It's also possible to declare the list as `"*"` (a "wildcard") to say that all are allowed.

  // TF_Graph may only / must be deleted when
  //   sessions.size() == 0 && delete_requested == true
  //
  // TODO(b/74949947): mutations currently trigger a warning instead of a bad
  // status, this should be reverted when possible.
  tensorflow::gtl::FlatMap<TF_Session*, tensorflow::string> sessions
      TF_GUARDED_BY(mu);
  bool delete_requested TF_GUARDED_BY(mu);  // set true by TF_DeleteGraph

 *
 * @author David Richter
 */
@NullUnmarked
public class IteratorBenchmark {
  @Param({"0", "1", "16", "256", "4096", "65536"})
  int size;

  // use concrete classes to remove any possible polymorphic overhead?
  Object[] array;
  ArrayList<Object> arrayList;
  LinkedList<Object> linkedList;

  @BeforeExperiment
  void setUp() {
    array = new Object[size];

 * needed, use {@code function::apply}.
 *
 * <p>This interface is now a legacy type. Use {@code java.util.function.Function} (or the
 * appropriate primitive specialization such as {@code ToIntFunction}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *

         * the JDK against TypeVariables returned by TypeResolver. To work with all JDK versions,
         * TypeResolver must return the appropriate TypeVariable implementation in each of the three
         * possible cases:
         *
         * 1. Under Android, the built-in TypeVariable implementation interoperates with ours.
         * Therefore, we can always create our own TypeVariable.
         *

 * predicate::test}.
 *
 * <p>This interface is now a legacy type. Use {@code java.util.function.Predicate} (or the
 * appropriate primitive specialization such as {@code IntPredicate}) instead whenever possible.
 * Otherwise, at least reduce <i>explicit</i> dependencies on this type by using lambda expressions
 * or method references instead of classes, leaving your code easier to migrate in the future.
 *