}

	if len(p.SampleType) != len(pb.SampleType) {
		return fmt.Errorf("incompatible sample types %v and %v", p.SampleType, pb.SampleType)
	}

	for i := range p.SampleType {
		if !compatibleValueTypes(p.SampleType[i], pb.SampleType[i]) {
			return fmt.Errorf("incompatible sample types %v and %v", p.SampleType, pb.SampleType)
		}
	}

	return nil
}

	}

	if len(p.SampleType) != len(pb.SampleType) {
		return fmt.Errorf("incompatible sample types %v and %v", p.SampleType, pb.SampleType)
	}

	for i := range p.SampleType {
		if !equalValueType(p.SampleType[i], pb.SampleType[i]) {
			return fmt.Errorf("incompatible sample types %v and %v", p.SampleType, pb.SampleType)
		}
	}
	return nil
}

	}
	if !reflect.DeepEqual(p.PeriodType, periodType) {
		t.Errorf("p.PeriodType = %v\nwant = %v", fmtJSON(p.PeriodType), fmtJSON(periodType))
	}
	if !reflect.DeepEqual(p.SampleType, sampleType) {
		t.Errorf("p.SampleType = %v\nwant = %v", fmtJSON(p.SampleType), fmtJSON(sampleType))
	}
	if defaultSampleType != p.DefaultSampleType {
		t.Errorf("p.DefaultSampleType = %v\nwant = %v", p.DefaultSampleType, defaultSampleType)
	}

		return
	}
	ratios := make([]float64, len(p.SampleType))
	for i := range p.SampleType {
		ratios[i] = ratio
	}
	p.ScaleN(ratios)
}

// ScaleN multiplies each sample values in a sample by a different amount
// and keeps only samples that have at least one non-zero value.
func (p *Profile) ScaleN(ratios []float64) error {
	if len(p.SampleType) != len(ratios) {

}

var profileDecoder = []decoder{
	nil, // 0
	// repeated ValueType sample_type = 1
	func(b *buffer, m message) error {
		x := new(ValueType)
		pp := m.(*Profile)
		pp.SampleType = append(pp.SampleType, x)
		return decodeMessage(b, x)
	},
	// repeated Sample sample = 2
	func(b *buffer, m message) error {
		x := new(Sample)
		pp := m.(*Profile)
		pp.Sample = append(pp.Sample, x)

func NewDefault(prof *profile.Profile, options Options) *Report {
	index := len(prof.SampleType) - 1
	o := &options
	if o.Title == "" && len(prof.Mapping) > 0 && prof.Mapping[0].File != "" {
		o.Title = filepath.Base(prof.Mapping[0].File)
	}
	o.SampleType = prof.SampleType[index].Type
	o.SampleUnit = strings.ToLower(prof.SampleType[index].Unit)
	o.SampleValue = func(v []int64) int64 {
		return v[index]
	}

	if len(p.SampleType) == 0 {
		return nil, nil, nil, fmt.Errorf("profile has no samples")
	}
	index, err := p.SampleIndexByName(sampleIndex)
	if err != nil {
		return nil, nil, nil, err
	}
	value = valueExtractor(index)
	if mean {
		meanDiv = valueExtractor(0)
	}
	v = p.SampleType[index]
	return
}

func valueExtractor(ix int) sampleValueFunc {

    @Issue("https://github.com/gradle/gradle/issues/913")
    def "@#annotation.simpleName is recognized as normalization no matter how it's defined"() {
        when:
        def typeMetadata = metadataStore.getTypeMetadata(sampleType)

        then:
        def properties = typeMetadata.propertiesMetadata
        properties*.propertyName as List == ["classpathInputFiles", "classpathOnly", "inputFilesClasspath"]

			p, err := profile.Parse(originalPprofFile)
			if err != nil {
				t.Fatalf("error parsing %v: %v", profFile, err)
			}

			// Move the samples count value-type to the 0 index.
			p.SampleType = []*profile.ValueType{p.SampleType[tc.originalIndex]}

			// Ensure we only have a single set of sample values.
			for _, s := range p.Sample {
				s.Value = []int64{s.Value[tc.originalIndex]}
			}

      const p = findPolygon(c);
      if (p != null) return p;
    }
    return null;
  }

  function setSampleIndexLink(si) {
    const elem = document.getElementById('sampletype-' + si);
    if (elem != null) {
      setHrefParams(elem, function (params) {
        params.set("si", si);
      });
    }
  }

  // Update id's href to reflect current selection whenever it is