}

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample
   * variance</a> of the values. If this dataset is a sample drawn from a population, this is an
   * unbiased estimator of the population variance of the population. The count must be greater than
   * one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple

			// Files are required to be populated already, so this is for convenience.
			if err := controller.RunOnce(ctx); err != nil {
				klog.Warningf("Initial population of client CA failed: %v", err)
			}

			go controller.Run(ctx, 1)
		}
		if controller, ok := s.Cert.(dynamiccertificates.ControllerRunner); ok {

      if (values.hasAnyNonFinite()) {
        assertWithMessage("population variance of " + values).that(populationVariance).isNaN();
        assertWithMessage("population variance by addAll(Stats) of " + values)
            .that(populationVarianceByAddAllStats)
            .isNaN();
      } else {
        assertWithMessage("population variance of " + values)
            .that(populationVariance)

// OnesCount returns the number of one bits ("population count") in x.
func OnesCount(x uint) int {
	if UintSize == 32 {
		return OnesCount32(uint32(x))
	}
	return OnesCount64(uint64(x))
}

// OnesCount8 returns the number of one bits ("population count") in x.
func OnesCount8(x uint8) int {
	return int(pop8tab[x])
}

// OnesCount16 returns the number of one bits ("population count") in x.

      double populationCovariance = stats.populationCovariance();
      if (values.hasAnyNonFinite()) {
        assertWithMessage("population covariance of " + values).that(populationCovariance).isNaN();
      } else {
        assertWithMessage("population covariance of " + values)
            .that(populationCovariance)
            .isWithin(ALLOWED_ERROR)

      double populationVariance = Stats.of(values.asIterable()).populationVariance();
      if (values.hasAnyNonFinite()) {
        assertWithMessage("population variance of " + values).that(populationVariance).isNaN();
      } else {
        assertWithMessage("population variance of " + values)
            .that(populationVariance)
            .isWithin(ALLOWED_ERROR)

        print("Stats details bytesProcessed: ")
        print(statsDetails['BytesProcessed'])
```

## 4. Run the Program

Upload a sample dataset to MinIO using the following commands.

```sh
curl "https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_TotalPopulationBySex.csv" > TotalPopulation.csv
mc mb myminio/mycsvbucket
gzip TotalPopulation.csv
mc cp TotalPopulation.csv.gz myminio/mycsvbucket/sampledata/

	AMOVWZ
	AMOVD
	AMOVDBR

	// conditional moves
	AMOVDEQ
	AMOVDGE
	AMOVDGT
	AMOVDLE
	AMOVDLT
	AMOVDNE
	ALOCR
	ALOCGR

	// find leftmost one
	AFLOGR

	// population count
	APOPCNT

	// integer bitwise
	AAND
	AANDW
	AOR
	AORW
	AXOR
	AXORW
	ASLW
	ASLD
	ASRW
	ASRAW
	ASRD
	ASRAD
	ARLL
	ARLLG
	ARNSBG
	ARXSBG

// --- OnesCount ---

const m0 = 0x5555555555555555 // 01010101 ...
const m1 = 0x3333333333333333 // 00110011 ...
const m2 = 0x0f0f0f0f0f0f0f0f // 00001111 ...

// OnesCount64 returns the number of one bits ("population count") in x.
func OnesCount64(x uint64) int {
	// Implementation: Parallel summing of adjacent bits.
	// See "Hacker's Delight", Chap. 5: Counting Bits.
	// The following pattern shows the general approach:
	//

	HasAVX5124FMAPS     bool // Advanced vector extension 512 Fused Multiply Accumulation Packed Single precision
	HasAVX512VPOPCNTDQ  bool // Advanced vector extension 512 Double and quad word population count instructions
	HasAVX512VPCLMULQDQ bool // Advanced vector extension 512 Vector carry-less multiply operations
	HasAVX512VNNI       bool // Advanced vector extension 512 Vector Neural Network Instructions