}

	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)
	}

	for _, st := range p.SampleType {
		command := fmt.Sprintf("sample_index=%s", st.Type)
		s[st.Type] = []string{command}
		s["total_"+st.Type] = []string{"mean=0", command}
		s["mean_"+st.Type] = []string{"mean=1", command}
	}
	return s
}

func sampleTypes(p *profile.Profile) []string {
	types := make([]string, len(p.SampleType))
	for i, t := range p.SampleType {
		types[i] = t.Type
	}

}

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)

		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 {

		// Put alloc before inuse so that default pprof selection
		// will prefer inuse_space.
		p.SampleType = []*ValueType{
			{Type: "alloc_objects", Unit: "count"},
			{Type: "alloc_space", Unit: "bytes"},
			{Type: "inuse_objects", Unit: "count"},
			{Type: "inuse_space", Unit: "bytes"},
		}
	} else {
		p.SampleType = []*ValueType{
			{Type: "objects", Unit: "count"},
			{Type: "space", Unit: "bytes"},
		}
	}