* rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**
   * The maximum capacity, used if a higher value is implicitly specified by either of the

   * one input completes with result X and another later with result Y, for Y to come before X in
   * the output future list. (Such races are impossible to solve without global synchronization of
   * all future completions. And they should have little practical impact.)
   *
   * <p>Cancelling a delegate future propagates to input futures once all the delegates complete,

      }
    }
  }

  /** Unblocks all threads and runs all listeners. */
  private static void complete(AbstractFuture<?> param, boolean callInterruptTask) {
    // Declare a "true" local variable so that the Checker Framework will infer nullness.
    AbstractFuture<?> future = param;

    Listener next = null;
    outer:
    while (true) {
      future.releaseWaiters();
      /*

    assertEquals(new TypeToken<List<String>>() {}, t);
  }

  public void testNonStaticLocalClass() {
    class Local<T> {}
    TypeToken<Local<String>> type = new TypeToken<Local<String>>() {};
    assertEquals(Types.newParameterizedType(Local.class, String.class), type.getType());
    assertEquals(new Local<String>() {}.getClass().getGenericSuperclass(), type.getType());
  }

  public void testStaticLocalClass() {

  /**
   * Specifies that each value (not key) stored in the cache should be wrapped in a {@link
   * SoftReference} (by default, strong references are used). Softly-referenced objects will be
   * garbage-collected in a <i>globally</i> least-recently-used manner, in response to memory
   * demand.
   *
   * <p><b>Warning:</b> in most circumstances it is better to set a per-cache {@linkplain