* becomes {@code count}.
   *
   * @return the count of {@code element} in the multiset before this call
   * @throws IllegalArgumentException if {@code count} is negative
   */
  @CanIgnoreReturnValue
  @Override
  public int setCount(E element, int count) {
    checkNotNull(element);
    checkNonnegative(count, "count");
    while (true) {

  @Override
  public int setCount(@ParametricNullness E element, int count) {
    checkNonnegative(count, "count");
    if (!range.contains(element)) {
      checkArgument(count == 0);
      return 0;
    }

    AvlNode<E> root = rootReference.get();
    if (root == null) {
      if (count > 0) {
        add(element, count);
      }
      return 0;
    }

  /**
   * 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

    assertFalse(multiset.contains(s2));
    assertEquals(1, multiset.count(s1));
    assertEquals(0, multiset.count(s2));

    multiset.add(s1);
    multiset.add(s2, 3);
    assertEquals(2, multiset.count(s1));
    assertEquals(3, multiset.count(s2));

    multiset.remove(s1);
    assertEquals(1, multiset.count(s1));
    assertEquals(3, multiset.count(s2));
  }

  public void testLogicalKeyEquality_strongKeys() {

@NullUnmarked
public class LocalCacheMapComputeTest extends TestCase {
  final int count = 10000;
  final String delimiter = "-";
  final String key = "key";
  Cache<String, String> cache;

  // helper
  private static void doParallelCacheOp(int count, IntConsumer consumer) {
    IntStream.range(0, count).parallel().forEach(consumer);
  }

  @Override
  public void setUp() throws Exception {

  /**
   * 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

    return oldCount;
  }

  @CanIgnoreReturnValue
  @Override
  public final int setCount(@ParametricNullness E element, int count) {
    checkNonnegative(count, "count");
    int oldCount = (count == 0) ? backingMap.remove(element) : backingMap.put(element, count);
    size += (count - oldCount);
    return oldCount;
  }

  @Override

        // Poll all items
        int count = 0;
        while (true) {
            final OpenSearchUrlQueue polled = urlQueueService.poll(sessionId);
            if (polled == null) {
                break;
            }
            count++;
            assertTrue(polled.getUrl().startsWith("http://www.example.com/page"));
        }

        assertEquals(5, count);
        urlQueueService.delete(sessionId);

                    return BucketOrder.key(asc);
                }
                if ("count".equals(values[0])) {
                    return BucketOrder.count(asc);
                }
            }
        }
        return BucketOrder.count(false);
    }

    /**
     * Adds a query facet to the existing query array.

            final int count = searchLogHelper.getClickCount(url);
            doc.put(fessConfig.getIndexFieldClickCount(), count);
            if (logger.isDebugEnabled()) {
                logger.debug("Click count: count={}, url={}", count, url);
            }
        }
    }

    /**
     * Adds a favorite count field to the document based on user favorite data.