Sean Liao <******@****.***> 1703876956 +0000

    SIMPLE {
      @Override
      double mean(double[] values) {
        double sum = 0.0;
        for (double value : values) {
          sum += value;
        }
        return sum / values.length;
      }
    },
    KAHAN {
      @Override
      double mean(double[] values) {
        double sum = 0.0;
        double c = 0.0;
        for (double value : values) {
          double y = value - c;

	testDataDir := env.IstioSrc + "/cni/test/testdata"
	cases := []testCase{
		{
			name:                   "File with pre-plugins--.conflist",
			chainedCNIPlugin:       true,
			preConfFile:            "00-calico.conflist",
			resultFileName:         "00-calico.conflist",
			expectedOutputFile:     testDataDir + "/expected/10-calico.conflist-istioconfig",
			expectedPostCleanFile:  testDataDir + "/pre/calico.conflist",

    }
  }

  public void testEnsureNonNegative() {
    assertThat(DoubleUtils.ensureNonNegative(0.0)).isEqualTo(0.0);
    for (double positiveValue : POSITIVE_FINITE_DOUBLE_CANDIDATES) {
      assertThat(DoubleUtils.ensureNonNegative(positiveValue)).isEqualTo(positiveValue);
      assertThat(DoubleUtils.ensureNonNegative(-positiveValue)).isEqualTo(0.0);
    }
    assertThat(DoubleUtils.ensureNonNegative(Double.POSITIVE_INFINITY)).isPositiveInfinity();

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(90, 100, dataset(i));
    }

    height: 15px;
    border-radius: 50%;
    /* A little hack to display the window buttons in one pseudo element. */
    background: #d9515d;
    -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
            box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
}

[data-termynal]:after {
    content: 'bash';
    position: absolute;
    color: var(--color-text-subtle);
    top: 5px;
    left: 0;
    width: 100%;

import (
	"time"
)

const (
	layoutYear       = "2006T"
	layoutMonth      = "2006-01T"
	layoutDay        = "2006-01-02T"
	layoutMinute     = "2006-01-02T15:04Z07:00"
	layoutSecond     = "2006-01-02T15:04:05Z07:00"
	layoutNanosecond = "2006-01-02T15:04:05.999999999Z07:00"
)

var tformats = []string{
	layoutYear,
	layoutMonth,
	layoutDay,
	layoutMinute,
	layoutSecond,
	layoutNanosecond,
}

  width: 15px;
  height: 15px;
  border-radius: 50%;
  /* A little hack to display the window buttons in one pseudo element. */
  background: #d9515d;
  -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
          box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;

}

func BenchmarkAppendMsgMetricDescription(b *testing.B) {
	v := MetricDescription{}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		bts, _ = v.MarshalMsg(bts[0:0])
	}
}

func BenchmarkUnmarshalMetricDescription(b *testing.B) {
	v := MetricDescription{}
	bts, _ := v.MarshalMsg(nil)
	b.ReportAllocs()