AdjustablePolicy(Permission... permissions) {
      for (Permission permission : permissions) perms.add(permission);
    }

    void addPermission(Permission perm) {
      perms.add(perm);
    }

    void clearPermissions() {
      perms = new Permissions();
    }

    @Override
    public PermissionCollection getPermissions(CodeSource cs) {
      return perms;
    }

 * }</pre>
 *
 * <p>As another example, imagine that we produce a stream of data, and we want to cap it at 5kb per
 * second. This could be accomplished by requiring a permit per byte, and specifying a rate of 5000
 * permits per second:
 *
 * <pre>{@code
 * final RateLimiter rateLimiter = RateLimiter.create(5000.0); // rate = 5000 permits per second
 * void submitPacket(byte[] packet) {
 *   rateLimiter.acquire(packet.length);

   * <pre>{@code
   * for (List<String> perm : orderedPermutations(asList("b", "c", "a"))) {
   *   println(perm);
   * }
   * // -> ["a", "b", "c"]
   * // -> ["a", "c", "b"]
   * // -> ["b", "a", "c"]
   * // -> ["b", "c", "a"]
   * // -> ["c", "a", "b"]
   * // -> ["c", "b", "a"]
   *
   * for (List<Integer> perm : orderedPermutations(asList(1, 2, 2, 1))) {
   *   println(perm);
   * }
   * // -> [1, 1, 2, 2]

          @Override
          public void checkAccess(Thread t) {
            throw new SecurityException();
          }

          @Override
          public void checkPermission(Permission perm) {
            // Do nothing so we can clear the security manager at the end
          }
        });
    try {
      final String oldName = Thread.currentThread().getName();

 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()
 *         <li>5 levels: average of 103ns per lock()/unlock()
 *         <li>10 levels: average of 184ns per lock()/unlock()
 *         <li>20 levels: average of 393ns per lock()/unlock()
 *       </ul>
 * </ul>
 *

      new RegularImmutableMap<>(null, new Object[0], 0);

  /*
   * This is an implementation of ImmutableMap optimized especially for Android, which does not like
   * objects per entry.  Instead we use an open-addressed hash table.  This design is basically
   * equivalent to RegularImmutableSet, save that instead of having a hash table containing the

      safeMax = -1;
      safeMin = Integer.MAX_VALUE;
    }
    this.safeMin = safeMin;
    this.safeMax = safeMax;

    // This is a bit of a hack but lets us do quicker per-character checks in
    // the fast path code. The safe min/max values are very unlikely to extend
    // into the range of surrogate characters, but if they do we must not test

import java.util.concurrent.ExecutionException;

/**
 * A cache which forwards all its method calls to another cache. Subclasses should override one or
 * more methods to modify the behavior of the backing cache as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p>Note that {@link #get}, {@link #getUnchecked}, and {@link #apply} all expose the same

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A deque which forwards all its method calls to another deque. Subclasses should override one or
 * more methods to modify the behavior of the backing deque as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingDeque} forward <b>indiscriminately</b> to the

/**
 * A {@link BlockingDeque} which forwards all its method calls to another {@code BlockingDeque}.
 * Subclasses should override one or more methods to modify the behavior of the backing deque as
 * desired per the <a href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingBlockingDeque} forward <b>indiscriminately</b>