* `Function<@Nullable A, @Nullable B>` already had to find a workaround. Still, there is a *ton* of
 * fallout from trying to switch. I would be shocked if the switch would offer benefits to anywhere
 * near enough users to justify the costs.
 *
 * Fortunately, if anyone does want to use a Converter as a `Function<@Nullable A, @Nullable B>`,
 * it's easy to get one: `converter::convert`.
 *

       */
      throw new UncheckedExecutionException(wrapper.getCause());
    }
  }

  /*
   * Arguably we don't need a timed getUnchecked because any operation slow enough to require a
   * timeout is heavyweight enough to throw a checked exception and therefore be inappropriate to
   * use with getUnchecked. Further, it's not clear that converting the checked TimeoutException to

        assertEquals(0, result.length);
    }

    public void test_gzipCompress_and_gzipDecompress() {
        String testData =
                "This is test data for compression that should be long enough to actually compress effectively when using gzip compression algorithm";
        byte[] originalBytes = testData.getBytes();

        byte[] compressed = searchHelper.gzipCompress(originalBytes);

   * 8`, so the class files from that build can't express nestmates. Thus, when those class files
   * are used from Java 9 or higher (i.e., high enough to trigger the VarHandle code path), such a
   * lookup would fail with an IllegalAccessException. That may then trigger use of Unsafe (possibly
   * with a warning under recent JVMs), or it may fall back even further to

      LinkedHashMultimap<K, V> create() {
    return new LinkedHashMultimap<>(DEFAULT_KEY_CAPACITY, DEFAULT_VALUE_SET_CAPACITY);
  }

  /**
   * Constructs an empty {@code LinkedHashMultimap} with enough capacity to hold the specified
   * numbers of keys and values without rehashing.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key

  }

  /**
   * Creates a {@code CompactHashMap} instance, with a high enough "initial capacity" that it
   * <i>should</i> hold {@code expectedSize} elements without growth.
   *
   * @param expectedSize the number of elements you expect to add to the returned set
   * @return a new, empty {@code CompactHashMap} with enough capacity to hold {@code expectedSize}
   *     elements without resizing

 * it requires that the complete universe of rows and columns be specified at construction time.
 * Second, it is always backed by an array large enough to hold a value for every possible
 * combination of row and column keys. (This is rarely optimal unless the table is extremely dense.)
 * Finally, every possible combination of row and column keys is always considered to have a value

   * test. This must return an Iterator that returns the expected elements passed to the constructor
   * in the given order. Warning: it is not enough to simply pull multiple iterators from the same
   * source Iterable, unless that Iterator is unmodifiable.
   */
  protected abstract I newTargetIterator();

  /**

    bytesIn.writeUtf8("custom-baz")
    bytesIn.writeByte(0x0d) // Literal value (len = 13)
    bytesIn.writeUtf8("custom-header")

    // Set to only support 110 bytes (enough for 2 headers).
    // Use a new Writer because we don't support change the dynamic table
    // size after Writer constructed.
    val writer = Hpack.Writer(110, false, bytesOut)
    writer.writeHeaders(headerBlock)

   * the end).
   *
   * @throws IllegalArgumentException if {@code n < 0}
   */
  public static BigInteger factorial(int n) {
    checkNonNegative("n", n);

    // If the factorial is small enough, just use LongMath to do it.
    if (n < LongMath.factorials.length) {
      return BigInteger.valueOf(LongMath.factorials[n]);
    }

    // Pre-allocate space for our list of intermediate BigIntegers.