const bucket = "bucket"
	files := []usageTestFile{
		{name: "rootfile", size: 10000},
		{name: "rootfile2", size: 10000},
		{name: "dir1/d1file", size: 2000},
		{name: "dir2/d2file", size: 300},
		{name: "dir1/dira/dafile", size: 100000},
		{name: "dir1/dira/dbfile", size: 200000},
		{name: "dir1/dira/dirasub/dcfile", size: 1000000},
		{name: "dir1/dira/dirasub/sublevel3/dccccfile", size: 10},
	}

 *
 * @author Sverre Sundsdal
 */
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  }

  @GwtIncompatible // isPrime is GWT-incompatible
  public void testIsPrime() {
    // Defer correctness tests to Long.isPrime

    // Check the first 100,000 integers
    for (int i = 0; i < 100000; i++) {
      assertEquals(LongMath.isPrime(i), IntMath.isPrime(i));
    }

    // Then check 1000 deterministic pseudo-random int values.
    Random rand = new Random(1);

  }

  @GwtIncompatible // isPrime is GWT-incompatible
  public void testIsPrime() {
    // Defer correctness tests to Long.isPrime

    // Check the first 100,000 integers
    for (int i = 0; i < 100000; i++) {
      assertEquals(LongMath.isPrime(i), IntMath.isPrime(i));
    }

    // Then check 1000 deterministic pseudo-random int values.
    Random rand = new Random(1);

    @Required
    @Min(-1)
    @Max(10000)
    @ValidateTypeFailure
    public Integer failureCountThreshold;

    @Size(max = 10)
    public String popularWord;

    @Required
    @Size(max = 20)
    public String csvFileEncoding;

    @Min(-1)
    @Max(100000)
    @ValidateTypeFailure
    public Integer purgeSearchLogDay;

    @Min(-1)
    @Max(100000)
    @ValidateTypeFailure

    assertThat(log).containsExactly("run@100000")

    taskFaker.advanceUntil(150.µs)
    assertThat(log).containsExactly("run@100000", "run@150000")

    taskFaker.advanceUntil(299.µs)
    assertThat(log).containsExactly("run@100000", "run@150000")

    taskFaker.advanceUntil(300.µs)
    assertThat(log).containsExactly("run@100000", "run@150000", "run@300000")

    taskFaker.assertNoMoreTasks()

  }

  /** https://github.com/google/guava/issues/1791 */
  public void testInfinity_bustyTimeElapsed() {
    RateLimiter limiter = RateLimiter.create(Double.POSITIVE_INFINITY, stopwatch);
    stopwatch.instant += 1000000;
    limiter.setRate(2.0);
    for (int i = 0; i < 5; i++) {
      limiter.acquire();
    }
    assertEvents(
        "R0.00", // First comes the saved-up burst, which defaults to a 1-second burst (2 requests).

  }

  /** https://github.com/google/guava/issues/1791 */
  public void testInfinity_bustyTimeElapsed() {
    RateLimiter limiter = RateLimiter.create(Double.POSITIVE_INFINITY, stopwatch);
    stopwatch.instant += 1000000;
    limiter.setRate(2.0);
    for (int i = 0; i < 5; i++) {
      limiter.acquire();
    }
    assertEvents(
        "R0.00", // First comes the saved-up burst, which defaults to a 1-second burst (2 requests).

        String result =
                "{\"bool\":{\"should\":[{\"geo_distance\":{\"location\":[151.0,35.0],\"distance\":1000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}},{\"geo_distance\":{\"location\":[150.0,34.0],\"distance\":10000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}}],\"adjust_pure_negative\":true,\"boost\":1.0}}";

			"histogram_quantile(0.500000, sum(rate(istio_request_duration_milliseconds_bucket{destination_workload=~\"details.*\", destination_workload_namespace=~\".*\",reporter=\"destination\"}[1m0s])) by (le))": prometheus_model.Vector{ // nolint: lll
				&prometheus_model.Sample{Value: 2.5},
			},