The following arguments are supported:

* `minimum_size` - Do not GZip responses that are smaller than this minimum size in bytes. Defaults to `500`.
* `compresslevel` - Used during GZip compression. It is an integer ranging from 1 to 9. Defaults to `9`. Lower value results in faster compression but larger file sizes, while higher value results in slower compression but smaller file sizes.

## Other middlewares { #other-middlewares }

    Table<String, Integer, C> smaller = create("foo", 1, 'a', "bar", 1, 'b');
    Table<String, Integer, C> swapOuter = create("bar", 1, 'a', "foo", 1, 'b', "bar", 3, 'c');
    Table<String, Integer, C> swapValues = create("foo", 1, 'c', "bar", 1, 'b', "foo", 3, 'a');

    new EqualsTester()
        .addEqualityGroup(table, hashCopy, reordered)
        .addEqualityGroup(smaller)
        .addEqualityGroup(swapOuter)

     * correct order—in order words, that it doesn't mix up big-endian and little-endian. The first
     * array has a smaller element at one index, and then the second array has a smaller element at
     * the next.
     */
    byte[] a0 = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 99, 15, 16, 17};

     * correct order—in order words, that it doesn't mix up big-endian and little-endian. The first
     * array has a smaller element at one index, and then the second array has a smaller element at
     * the next.
     */
    byte[] a0 = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 99, 15, 16, 17};

   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a
   * list of size {@code m x n x p}, its actual memory consumption is much smaller. When the
   * cartesian product is constructed, the input lists are merely copied. Only as the resulting list
   * is iterated are the individual lists created, and these are not retained after iteration.
   *

  }

  /**
   * Test that verifies the resource leak fix for <a
   * href="https://github.com/google/guava/issues/5756">Issue #5756</a>.
   *
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a
   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing

        int low = from + 1, high = to; // Indexes for partitioning.
        double partition = array[from + 1]; // Choose partitioning element.
        while (true) {
          // Skip the elements smaller than the partition.
          do {
            low++;
          } while (array[low] < partition);

          // Skip the elements larger than the partition.
          do {
            high--;

        int low = from + 1, high = to; // Indexes for partitioning.
        double partition = array[from + 1]; // Choose partitioning element.
        while (true) {
          // Skip the elements smaller than the partition.
          do {
            low++;
          } while (array[low] < partition);

          // Skip the elements larger than the partition.
          do {
            high--;

   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a
   * list of size {@code m x n x p}, its actual memory consumption is much smaller. When the
   * cartesian product is constructed, the input lists are merely copied. Only as the resulting list
   * is iterated are the individual lists created, and these are not retained after iteration.
   *

    //     imagine a line separating the first block from the second, we can proceed by exchanging
    //     the smaller of these blocks with the far end of the other one. That leaves us with a
    //     smaller version of the same problem.
    //     Say we are rotating abcdefgh by 5. We start with abcde|fgh. The smaller block is [fgh]:
    //     [abc]de|[fgh] -> [fgh]de|[abc]. Now [fgh] is in the right place, but we need to swap [de]