}

  @J2ktIncompatible
  @GwtIncompatible // threads
  public void testOverflowTimeout() throws Exception {
    // First, sanity check that naive multiplication would really overflow to a negative number:
    long nanosPerSecond = NANOSECONDS.convert(1, SECONDS);
    assertThat(nanosPerSecond * Long.MAX_VALUE).isLessThan(0L);

    // Check that we wait long enough anyway (presumably as long as MAX_VALUE nanos):

          negativeToMaxValue(loadExceptionCount.sum()),
          negativeToMaxValue(totalLoadTime.sum()),
          negativeToMaxValue(evictionCount.sum()));
    }

    /** Returns {@code value}, if non-negative. Otherwise, returns {@link Long#MAX_VALUE}. */
    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

  // https://github.com/google/guava/issues/1781
  public void testOptimalNumOfHashFunctionsRounding() {
    assertEquals(7, BloomFilter.optimalNumOfHashFunctions(319, 3072));
  }

  /** Tests that we always get a non-negative optimal size. */
  public void testOptimalSize() {
    for (int n = 1; n < 1000; n++) {
      for (double fpp = Double.MIN_VALUE; fpp < 1.0; fpp += 0.001) {
        assertTrue(BloomFilter.optimalNumOfBits(n, fpp) >= 0);

import junit.framework.TestCase;
import junit.framework.TestSuite;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Tests {@link MapTestSuiteBuilder} by using it against maps that have various negative behaviors.
 *
 * @author George van den Driessche
 */
public final class MapTestSuiteBuilderTests extends TestCase {
  private MapTestSuiteBuilderTests() {}

  public static Test suite() {

          negativeToMaxValue(loadExceptionCount.sum()),
          negativeToMaxValue(totalLoadTime.sum()),
          negativeToMaxValue(evictionCount.sum()));
    }

    /** Returns {@code value}, if non-negative. Otherwise, returns {@link Long#MAX_VALUE}. */
    private static long negativeToMaxValue(long value) {
      return (value >= 0) ? value : Long.MAX_VALUE;
    }

            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "avg(envoy_wasm_remote_load_cache_negative_hits)",
          "interval": "",
          "legendFormat": "negative hits",
          "refId": "C"
        }
      ],
      "title": "Cache Visit",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",

            result = true;
        } else {
            // process the list
            String[] repos = pattern.split(",");
            for (String repo : repos) {
                // see if this is a negative match
                if (repo.length() > 1 && repo.startsWith("!")) {
                    if (repo.substring(1).equals(originalId)) {
                        // explicitly exclude. Set result and stop processing.

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating
   * them until they are needed.  When there is no contention, all

                                return response.addrEntry[0];
                            } else if( resolveOrder[i] == RESOLVER_WINS ) {
                                /* If WINS reports negative, no point in retry
                                 */
                                break;
                            }
                        }
                        break;
                }

        assertNotNull(dependencies);

        assertEquals(2, dependencies.size());

        // ----------------------------------------------------------------------
        // Dependencies - using index notation
        // ----------------------------------------------------------------------

        // List
        Dependency dependency = (Dependency) ReflectionValueExtractor.evaluate("project.dependencies[0]", project);