// This class can make no hard guarantees.  The methods in this class are inherently flaky, but
    // we try hard to make them robust in practice.  We could additionally try to add in a system
    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time
    // bound.  But these ideas are harder to implement.  We do not try to detect or handle a
    // user-specified -XX:+DisableExplicitGC.

    private final transient ConcurrentMap<E, Integer> countMap;

    /**
     * Creates a new, empty {@code OldConcurrentHashMultiset} using the default initial capacity,
     * load factor, and concurrency settings.
     */
    public static <E> OldConcurrentHashMultiset<E> create() {
      return new OldConcurrentHashMultiset<E>(new ConcurrentHashMap<E, Integer>());
    }

   * in a single load operation.
   */
  public double missRate() {
    long requestCount = requestCount();
    return (requestCount == 0) ? 0.0 : (double) missCount / requestCount;
  }

  /**
   * Returns the total number of times that {@link Cache} lookup methods attempted to load new
   * values. This includes both successful load operations and those that threw exceptions. This is

   * in a single load operation.
   */
  public double missRate() {
    long requestCount = requestCount();
    return (requestCount == 0) ? 0.0 : (double) missCount / requestCount;
  }

  /**
   * Returns the total number of times that {@link Cache} lookup methods attempted to load new
   * values. This includes both successful load operations and those that threw exceptions. This is

    assertNotSame(frqC, sepFrqC);
    // Check the assumptions above.

    // FRQ tries to load the Finalizer class (for the reference-collecting thread) in a few ways.
    // If the class is accessible to the system ClassLoader (ClassLoader.getSystemClassLoader())
    // then FRQ does not bother to load Finalizer.class through a separate ClassLoader. That happens

    final CountDownLatch computingLatch = new CountDownLatch(1);
    CacheLoader<String, String> computingFunction =
        new CacheLoader<String, String>() {
          @Override
          public String load(String key) throws InterruptedException {
            if (shouldWait.get()) {
              computingLatch.await();
            }
            return key;
          }
        };

import static com.google.common.base.Preconditions.checkState;
import static com.google.common.graph.GraphConstants.INNER_CAPACITY;
import static com.google.common.graph.GraphConstants.INNER_LOAD_FACTOR;
import static com.google.common.graph.Graphs.checkNonNegative;
import static com.google.common.graph.Graphs.checkPositive;

import com.google.common.base.Function;
import com.google.common.collect.AbstractIterator;

    private final transient ConcurrentMap<E, Integer> countMap;

    /**
     * Creates a new, empty {@code OldConcurrentHashMultiset} using the default initial capacity,
     * load factor, and concurrency settings.
     */
    public static <E> OldConcurrentHashMultiset<E> create() {
      return new OldConcurrentHashMultiset<E>(new ConcurrentHashMap<E, Integer>());
    }

   * is called. This will fail if the iterator is infinite and may cause problems if the iterator
   * eagerly fetches data for each source when iterated (rather than producing sources that only
   * load data through their streams). Prefer using the {@link #concat(Iterable)} overload if
   * possible.
   *
   * @param sources the sources to concatenate
   * @return a {@code CharSource} containing the concatenated data

   * is called. This will fail if the iterator is infinite and may cause problems if the iterator
   * eagerly fetches data for each source when iterated (rather than producing sources that only
   * load data through their streams). Prefer using the {@link #concat(Iterable)} overload if
   * possible.
   *
   * @param sources the sources to concatenate
   * @return a {@code ByteSource} containing the concatenated data