boolean[] octets = new boolean[maxChar + 1];
    for (char c : safeCharArray) {
      octets[c] = true;
    }
    return octets;
  }

  /*
   * Overridden for performance. For unescaped strings this improved the performance of the uri
   * escaper from ~760ns to ~400ns as measured by {@link CharEscapersBenchmark}.
   */
  @Override
  protected int nextEscapeIndex(CharSequence csq, int index, int end) {

 *   <li>Dependency on {@code com.google.common} / Guava.
 * </ul>
 *
 * <p>Advantages compared to {@link com.google.common.collect.ImmutableList ImmutableList}{@code
 * <Integer>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality
 *   <li>Can be queried without allocating garbage
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Integer>}:
 *
 * <ul>

 *   <li>Dependency on {@code com.google.common} / Guava.
 * </ul>
 *
 * <p>Advantages compared to {@link com.google.common.collect.ImmutableList ImmutableList}{@code
 * <Double>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Double>}:
 *
 * <ul>

 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.
 *   <li>The retrieval operations {@link #peek}, {@link #peekFirst}, {@link #peekLast}, {@link
 *       #element}, and {@link #size} are constant-time.

        localAlternatingKeysAndValues = alternatingKeysAndValues;
        if (!throwIfDuplicateKeys) {
          // We want to retain only the last-put value for any given key, before sorting.
          // This could be improved, but orderEntriesByValue is rather rarely used anyway.
          localAlternatingKeysAndValues = lastEntryForEachKey(localAlternatingKeysAndValues, size);

 *   <li>Dependency on {@code com.google.common} / Guava.
 * </ul>
 *
 * <p>Advantages compared to {@link com.google.common.collect.ImmutableList ImmutableList}{@code
 * <Long>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Long>}:
 *
 * <ul>

      this.safeMinChar = (char) safeMin;
      this.safeMaxChar = (char) Math.min(safeMax, Character.MIN_HIGH_SURROGATE - 1);
    }
  }

  /*
   * This is overridden to improve performance. Rough benchmarking shows that this almost doubles
   * the speed when processing strings that do not require any escaping.
   */
  @Override
  public final String escape(String s) {

  V getIfPresent(@CompatibleWith("K") Object key);

  /**
   * Returns the value associated with {@code key} in this cache, obtaining that value from {@code
   * loader} if necessary. The method improves upon the conventional "if cached, return; otherwise
   * create, cache and return" pattern. For further improvements, use {@link LoadingCache} and its
   * {@link LoadingCache#get(Object) get(K)} method instead of this one.
   *

 * double myMedian = median().compute(myDataset);
 * }</pre>
 *
 * where {@link #median()} has been statically imported.
 *
 * <p>To compute the 99th percentile:
 *
 * <pre>{@code
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }</pre>
 *
 * where {@link #percentiles()} has been statically imported.
 *
 * <p>To compute median and the 90th and 99th percentiles:
 *
 * <pre>{@code

      limiter.acquire(); // #3
    }

    limiter.setRate(4.0); // double the rate!
    limiter.acquire(); // #4, we repay the debt of the last acquire (imposed by the old rate)
    for (int i = 0; i < 4; i++) {
      limiter.acquire(); // #5
    }
    stopwatch.sleepMillis(4250); // #6, back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 11; i++) {