* original {@code ListenableFuture}.
   */
  public static <V extends @Nullable Object> FluentFuture<V> from(ListenableFuture<V> future) {
    return future instanceof FluentFuture
        ? (FluentFuture<V>) future
        : new ForwardingFluentFuture<V>(future);
  }

  /**
   * Simply returns its argument.
   *
   * @deprecated no need to use this

  }

  @J2ktIncompatible // asMap
  public void testValuesIsNotASet() {
    assertThat(CacheBuilder.newBuilder().build().asMap().values() instanceof Set).isFalse();
  }

  @J2ktIncompatible
  @GwtIncompatible // CacheTesting
  public void testNullCache() {
    CountingRemovalListener<Object, Object> listener = countingRemovalListener();

      } else {
        return Outcome.FAILURE;
      }
    } catch (InvocationTargetException targetException) {
      Throwable actualException = targetException.getTargetException();
      if (actualException instanceof InterruptedException) {
        return Outcome.INTERRUPT;
      } else {
        throw new AssertionError("unexpected exception", targetException);
      }
    } catch (IllegalAccessException e) {

 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

    for (int i = 1; i < size; i++) {
      if (!heapForIndex(i).verifyIndex(i)) {
        return false;
      }
    }
    return true;
  }

  /**
   * Each instance of MinMaxPriorityQueue encapsulates two instances of Heap: a min-heap and a
   * max-heap. Conceptually, these might each have their own array for storage, but for efficiency's

   */
  @SuppressWarnings("unchecked") // TODO(cpovirk): Make constructor accept wildcard types?
  public static <R, C, V> ArrayTable<R, C, V> create(Table<R, C, ? extends @Nullable V> table) {
    return (table instanceof ArrayTable)
        ? new ArrayTable<R, C, V>((ArrayTable<R, C, V>) table)
        : new ArrayTable<R, C, V>(table);
  }

  private final ImmutableList<R> rowList;
  private final ImmutableList<C> columnList;

  }

  private <T> T pickInstance(T[] instances, T defaultValue) {
    return pickInstance(Arrays.asList(instances), defaultValue);
  }

  private <T> T pickInstance(Collection<T> instances, T defaultValue) {
    if (instances.isEmpty()) {
      return defaultValue;
    }
    // generateInt() is 1-based.
    return Iterables.get(instances, (generateInt() - 1) % instances.size());
  }

  }

  private <T> T pickInstance(T[] instances, T defaultValue) {
    return pickInstance(Arrays.asList(instances), defaultValue);
  }

  private <T> T pickInstance(Collection<T> instances, T defaultValue) {
    if (instances.isEmpty()) {
      return defaultValue;
    }
    // generateInt() is 1-based.
    return Iterables.get(instances, (generateInt() - 1) % instances.size());
  }

  // TODO(user): cache all field accesses in local vars

  /** Creates an empty {@code CompactHashSet} instance. */
  public static <E extends @Nullable Object> CompactHashSet<E> create() {
    return new CompactHashSet<>();
  }

  /**
   * Creates a <i>mutable</i> {@code CompactHashSet} instance containing the elements of the given
   * collection in unspecified order.
   *

    for (int i = 1; i < size; i++) {
      if (!heapForIndex(i).verifyIndex(i)) {
        return false;
      }
    }
    return true;
  }

  /**
   * Each instance of MinMaxPriorityQueue encapsulates two instances of Heap: a min-heap and a
   * max-heap. Conceptually, these might each have their own array for storage, but for efficiency's