assertEquals("1.000 s", CLIReportingUtils.formatDuration(1000));
        assertEquals("59.999 s", CLIReportingUtils.formatDuration(60 * 1000 - 1));
        assertEquals("01:00 min", CLIReportingUtils.formatDuration(60 * 1000));
        assertEquals("59:59 min", CLIReportingUtils.formatDuration(60 * 60 * 1000 - 1));
        assertEquals("01:00 h", CLIReportingUtils.formatDuration(60 * 60 * 1000));

```

Everything in the `'` gets sent on the command line to JMH.

You can set benchmark parameters with `-p`:
```
gradlew -p benchmarks/ run --args 'RoundingBenchmark.round -prounder=es -prange="2000-10-01 to 2000-11-01" -pzone=America/New_York -pinterval=10d -pcount=1000000'
```

The benchmark code defines default values for the parameters so if
you leave out any out JMH will run with each default value, one after

 * Each version corresponds to different Windows Server releases and capabilities.
 */
public enum WitnessVersion {
    /**
     * Witness Protocol Version 1 - Windows Server 2012
     */
    VERSION_1(0x00010001),

    /**
     * Witness Protocol Version 2 - Windows Server 2012 R2 and later
     */
    VERSION_2(0x00020000);

    private final int version;

    /**

          .put(Hashing.murmur3_128(), TQBFJOTLDP, "c902e99e1f4899cde7b68789a3a15d69")
          .put(Hashing.murmur3_32(), "", "00000000")
          .put(Hashing.murmur3_32(), TQBFJOTLD, "23f74f2e")
          .put(Hashing.murmur3_32(), TQBFJOTLDP, "fc8bc4d5")
          .put(Hashing.murmur3_32_fixed(), "", "00000000")
          .put(Hashing.murmur3_32_fixed(), TQBFJOTLD, "23f74f2e")
          .put(Hashing.murmur3_32_fixed(), TQBFJOTLDP, "fc8bc4d5")

    model = ModelWithCustomEncoder(dt_field=datetime(2019, 1, 1, 8))
    assert jsonable_encoder(model) == {"dt_field": "2019-01-01T08:00:00+00:00"}
    subclass_model = ModelWithCustomEncoderSubclass(dt_field=datetime(2019, 1, 1, 8))
    assert jsonable_encoder(subclass_model) == {"dt_field": "2019-01-01T08:00:00+00:00"}


def test_json_encoder_error_with_pydanticv1():
    with warnings.catch_warnings():

    long startTime = System.nanoTime();
    long ns = millis * 1000 * 1000;
    for (; ; ) {
      if (millis > 0L) {
        Thread.sleep(millis);
      } else {
        // too short to sleep
        Thread.yield();
      }
      long d = ns - (System.nanoTime() - startTime);
      if (d > 0L) {
        millis = d / (1000 * 1000);
      } else {
        break;
      }
    }
  }

            assertEquals("2001:db8::1", method.invoke(null, "2001:0db8:0000:0000:0000:0000:0000:0001"));
            assertEquals("fe80::1", method.invoke(null, "fe80:0000:0000:0000:0000:0000:0000:0001"));

            // Leading zeros removed and consecutive zeros compressed
            assertEquals("2001:db8::1", method.invoke(null, "2001:0db8:0:0:0:0:0:1"));

    long startTime = System.nanoTime();
    long ns = millis * 1000 * 1000;
    for (; ; ) {
      if (millis > 0L) {
        Thread.sleep(millis);
      } else {
        // too short to sleep
        Thread.yield();
      }
      long d = ns - (System.nanoTime() - startTime);
      if (d > 0L) {
        millis = d / (1000 * 1000);
      } else {
        break;
      }
    }
  }

    private static final DateFormatter FORMATTER = DateFormatter.forPattern("date_optional_time");

    @Param(
        {
            "2000-01-01 to 2020-01-01", // A super long range
            "2000-10-01 to 2000-11-01", // A whole month which is pretty believable
            "2000-10-29 to 2000-10-30", // A date right around daylight savings time.

        }
        return new MeanAndVariance(mean, s / values.length);
      }
    };

    abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm);
  }

  @Param({"100", "10000"})
  int n;

  @Param MeanAlgorithm meanAlgorithm;
  @Param VarianceAlgorithm varianceAlgorithm;

  private final double[][] values = new double[0x100][];

  @BeforeExperiment
  void setUp() {