// checkSimilarDistribution returns success if the mean and stddev of the
// two statsResults are similar.
func (sr *statsResults) checkSimilarDistribution(expected *statsResults) error {
	if !nearEqual(sr.mean, expected.mean, expected.closeEnough, expected.maxError) {
		s := fmt.Sprintf("mean %v != %v (allowed error %v, %v)", sr.mean, expected.mean, expected.closeEnough, expected.maxError)
		fmt.Println(s)
		return errors.New(s)

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all

        bn_op.getLoc(), inputs, bn_op.getScale(), bn_op.getOffset(), mean,
        variance, epsilon, rewriter.getI64IntegerAttr(feature_index));

    // Return normalized values, mean, variable.
    rewriter.replaceOp(bn_op, ::mlir::ValueRange{batch_norm, mean, variance});
    return success();
  }
};

class UnfuseBatchNormInferencePattern

// checkSimilarDistribution returns success if the mean and stddev of the
// two statsResults are similar.
func (sr *statsResults) checkSimilarDistribution(expected *statsResults) error {
	if !nearEqual(sr.mean, expected.mean, expected.closeEnough, expected.maxError) {
		s := fmt.Sprintf("mean %v != %v (allowed error %v, %v)", sr.mean, expected.mean, expected.closeEnough, expected.maxError)
		fmt.Println(s)
		return errors.New(s)

}

func reportOptions(p *profile.Profile, numLabelUnits map[string]string, cfg config) (*report.Options, error) {
	si, mean := cfg.SampleIndex, cfg.Mean
	value, meanDiv, sample, err := sampleFormat(p, si, mean)
	if err != nil {
		return nil, err
	}

	stype := sample.Type
	if mean {
		stype = "mean_" + stype
	}

	if cfg.DivideBy == 0 {
		return nil, fmt.Errorf("zero divisor specified")
	}

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all

// separate type primarily to distinguish it from mean utilization,
// which is also a float64.
type totalUtil float64

func totalUtilOf(meanUtil float64, dur int64) totalUtil {
	return totalUtil(meanUtil * float64(dur))
}

// mean returns the mean utilization over dur.
func (u totalUtil) mean(dur time.Duration) float64 {
	return float64(u) / float64(dur)
}

	N := n * hashSize
	var c float64
	// find c such that Prob(mean-c*stddev < x < mean+c*stddev)^N > .9999
	for c = 0.0; math.Pow(math.Erf(c/math.Sqrt(2)), float64(N)) < .9999; c += .1 {
	}
	c *= 11.0 // allowed slack: 40% to 60% - we don't need to be perfectly random
	mean := .5 * REP
	stddev := .5 * math.Sqrt(REP)
	low := int(mean - c*stddev)
	high := int(mean + c*stddev)
	for i := 0; i < n; i++ {

               "intervalFactor": 2,
               "legendFormat": "{{cluster}} - {{namespace}}\n"
            }
         ],
         "title": "GC Duration Mean",
         "type": "timeseries"
      },
      {
         "collapsed": true,
         "gridPos": {
            "h": 1,
            "w": 24,
            "x": 0,
            "y": 17
         },

	N := n * hashSize
	var c float64
	// find c such that Prob(mean-c*stddev < x < mean+c*stddev)^N > .9999
	for c = 0.0; math.Pow(math.Erf(c/math.Sqrt(2)), float64(N)) < .9999; c += .1 {
	}
	c *= 11.0 // allowed slack: 40% to 60% - we don't need to be perfectly random
	mean := .5 * REP
	stddev := .5 * math.Sqrt(REP)
	low := int(mean - c*stddev)
	high := int(mean + c*stddev)
	for i := 0; i < n; i++ {