Object key = new Object();
    assertNotNull(cache.getUnchecked(key));

    CacheTesting.simulateValueReclamation(cache, key);

    // this blocks if computation can't deal with partially-collected values
    assertNotNull(cache.getUnchecked(key));
    assertEquals(1, cache.size());
    assertEquals(2, countingLoader.getCount());

    CacheTesting.simulateValueReclamation(cache, key);

   *
   * if (guardExpression) {
   *    throw new BadException(badMsg(...));
   * }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *

    Object key = new Object();
    assertNotNull(cache.getUnchecked(key));

    CacheTesting.simulateValueReclamation(cache, key);

    // this blocks if computation can't deal with partially-collected values
    assertNotNull(cache.getUnchecked(key));
    assertEquals(1, cache.size());
    assertEquals(2, countingLoader.getCount());

    CacheTesting.simulateValueReclamation(cache, key);

      HashMap<Object, Object> map1,
      HashMap<Object, Object> map2)
      throws Exception {
    // Only start measuring table size after the first element inserted, to
    // deal with empty-map optimization.
    map1.put(0, null);

    int initialBuckets = bucketsOf(map1);

    for (int i = 1; i < size; i++) {
      map1.put(i, null);
    }

      HashMap<Object, Object> map1,
      HashMap<Object, Object> map2)
      throws Exception {
    // Only start measuring table size after the first element inserted, to
    // deal with empty-map optimization.
    map1.put(0, null);

    int initialBuckets = bucketsOf(map1);

    for (int i = 1; i < size; i++) {
      map1.put(i, null);
    }

   * Foo<Enum<?>>} according to JLS. See testRecursiveWildcardSubtypeBug() for a real example.
   *
   * <p>It appears that properly handling recursive type bounds in the presence of implicit type
   * bounds is not easy. For now we punt, hoping that this defect should rarely cause issues in real
   * code.
   *
   * @param formalType is {@code Foo<formalType>} a supertype of {@code Foo<T>}?

   *
   * if (guardExpression) {
   *    throw new BadException(badMsg(...));
   * }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *

 *             return createExpensiveGraph(key);
 *           }
 *         });
 * }</pre>
 *
 * <p>Or equivalently,
 *
 * <pre>{@code
 * // In real life this would come from a command-line flag or config file
 * String spec = "maximumSize=10000,expireAfterWrite=10m";
 *
 * LoadingCache<Key, Graph> graphs = CacheBuilder.from(spec)
 *     .removalListener(MY_LISTENER)

      // It's a weird formula, but tests prove it works.
      int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;
        // in GWT, we have to deal with integer overflow carefully
      }
      int hash = 1;
      for (Set<E> axis : axes) {
        hash = 31 * hash + (size() / axis.size() * axis.hashCode());

        hash = ~~hash;
      }