return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.
    // Each miss both increments the counter and causes the map to grow by one,
    // so until evictions begin, the size of the map is the greatest return
    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);

  }

  private static class Counter<N extends Number> {
    @Keep List<N> counts;
  }

  public void testWildcardCaptured_typeVariableDeclaresTypeBound_wildcardHasNoExplicitUpperBound()
      throws Exception {
    TypeToken<Counter<?>> type = new TypeToken<Counter<?>>() {};
    TypeToken<?> fieldType =
        type.resolveType(Counter.class.getDeclaredField("counts").getGenericType());

    // drop the contract on the method that enforces this queue like behavior since depending on it
    // is likely to be a bug anyway.

    // N.B. All writes to the list and the next pointers must have happened before the above
    // synchronized block, so we can iterate the list without the lock held here.
    RunnableExecutorPair reversedList = null;
    while (list != null) {

            byte[] buf = BufferCache.getBuffer();
            BufferCache.releaseBuffer(buf);
        }

        // 3. Atomic Operations Test
        AtomicLong counter = new AtomicLong(0);
        for (int i = 0; i < 1000; i++) {
            counter.addAndGet(1024);
        }

        long end = System.nanoTime();
        double totalTimeMs = (end - start) / 1_000_000.0;

    private static final java.util.concurrent.ConcurrentLinkedQueue<byte[]> bufferQueue =
            new java.util.concurrent.ConcurrentLinkedQueue<>();

    // Track queue size with atomic counter for efficiency
    private static final java.util.concurrent.atomic.AtomicInteger queueSize = new java.util.concurrent.atomic.AtomicInteger(0);

    /**

* change apps/v1beta2 StatefulSet observedGeneration (optional field) from a pointer to an int for consistency ([#49607](https://github.com/kubernetes/kubernetes/pull/49607), [@dixudx](https://github.com/dixudx))

      val buffer = cursor.data
      var i = cursor.start
      val end = cursor.end
      if (buffer != null) {
        while (i < end) {
          keyIndex %= keyLength // Reassign to prevent overflow breaking counter.

          // Byte xor is experimental in Kotlin so we coerce bytes to int, xor them
          // and convert back to byte.
          val bufferInt: Int = buffer[i].toInt()

    }

    /**
     * Ensures toString contains key fields with expected formatting.
     */
    @Test
    void testToStringContainsExpectedFields() {
        // Given
        int sid = 4660; // 0x1234, printed as decimal
        int resumeKey = 0x01020304; // shows only low 4 hex digits per implementation
        String name = "name";
        Trans2FindNext2 next = new Trans2FindNext2(sid, resumeKey, name);

        // When

/**
 * A helper which does some thread-safe operations for aggregate futures, which must be implemented
 * differently in GWT. Namely:
 *
 * <ul>
 *   <li>Lazily initializes a set of seen exceptions
 *   <li>Decrements a counter atomically
 * </ul>
 */
@GwtCompatible
@ReflectionSupport(value = ReflectionSupport.Level.FULL)
abstract class AggregateFutureState<OutputT extends @Nullable Object>
    extends AbstractFuture.TrustedFuture<OutputT> {

   * exception is thrown, this exception is used as the result of the output {@code Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * // Falling back to a zero counter in case an exception happens when processing the RPC to fetch
   * // counters.
   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catching(FetchException.class, x -> 0, directExecutor());
   * }