// Now process directly from the rest of the input buffer
    while (readBuffer.remaining() >= chunkSize) {
      process(readBuffer);
    }

    // Finally stick the remainder back in our usual buffer
    buffer.put(readBuffer);
    return this;
  }

  /*
   * Note: hashString(CharSequence, Charset) is intentionally not overridden.
   *

 * not</b> change the behavior of {@link #add(Object)}, which can lead to unexpected behavior. In
 * this case, you should override {@code add(Object)} as well, either providing your own
 * implementation, or delegating to the provided {@code standardAdd} method.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code

* Implemented `kubeadm upgrade plan` for checking whether you can upgrade your cluster to a newer version ([#48899](https://github.com/kubernetes/kubernetes/pull/48899), [@luxas](https://github.com/luxas))
    * Implemented `kubeadm upgrade apply` for upgrading your cluster from one version to an other

    public static final String LABELS_next_page = "{labels.next_page}";

    /** The key of the message: Your search - <b>{0}</b> - did not match any documents. */
    public static final String LABELS_did_not_match = "{labels.did_not_match}";

    /** The key of the message: Try different keywords or check your spelling. */
    public static final String LABELS_did_not_match_suggestion = "{labels.did_not_match_suggestion}";

    if (log2 < Double.MAX_EXPONENT) {
      sqrt0 = sqrtApproxWithDoubles(x);
    } else {
      int shift = (log2 - DoubleUtils.SIGNIFICAND_BITS) & ~1; // even!
      /*
       * We have that x / 2^shift < 2^54. Our initial approximation to sqrtFloor(x) will be
       * 2^(shift/2) * sqrtApproxWithDoubles(x / 2^shift).
       */
      sqrt0 = sqrtApproxWithDoubles(x.shiftRight(shift)).shiftLeft(shift >> 1);
    }

    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, 1, 0, 3, new int[] {2, 0, 1, 3, 4, 5, 6});
    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, 2, 0, 3, new int[] {1, 2, 0, 3, 4, 5, 6});

    // Rotate the last four elements
    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, -6, 3, 7, new int[] {0, 1, 2, 5, 6, 3, 4});
    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, -5, 3, 7, new int[] {0, 1, 2, 4, 5, 6, 3});

 * views are modifiable.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap. Concurrent
 * read operations will work correctly. To allow concurrent update operations, wrap your multimap
 * with a call to {@link Multimaps#synchronizedListMultimap}.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/NewCollectionTypesExplained#multimap">{@code Multimap}</a>.

 *       in any other way than how {@code Stopwatch} uses them.
 *   <li>An alternative source of nanosecond ticks can be substituted, for example for testing or
 *       performance reasons, without affecting most of your code.
 * </ul>
 *
 * <p>The one downside of {@code Stopwatch} relative to {@link System#nanoTime()} is that {@code
 * Stopwatch} requires object allocation and additional method calls, which can reduce the accuracy

    @interface NotTesterAnnotation {
      ExampleFeature[] value() default {};

      ExampleFeature[] absent() default {};
    }
  }

  public void testTestFeatureEnums() {
    // Haha! Let's test our own test rig!
    assertGoodFeatureEnum(ExampleFeature.class);
  }

  public void testAddImpliedFeatures_returnsSameSetInstance() {
    Set<Feature<?>> features = newHashSet(FOO);

  }

  /**
   * Test to ensure we don't  throw a read timeout on responses that are progressing.  For this
   * case, we take a 4KiB body and throttle it to 1KiB/second.  We set the read timeout to two
   * seconds.  If our implementation is acting correctly, it will not throw, as it is progressing.
   */
  @Test
  fun readTimeoutMoreGranularThanBodySize() {
    val body = CharArray(4096) // 4KiB to read.
    Arrays.fill(body, 'y')