func MinIdx(s []float64) int {
	if len(s) == 0 {
		panic(zeroLength)
	}
	min := math.NaN()
	var ind int
	for i, v := range s {
		if math.IsNaN(v) {
			continue
		}
		if v < min || math.IsNaN(min) {
			min = v
			ind = i
		}
	}
	return ind
}
MinIdx returns the index of the minimum value in the input slice. If several
entries have the minimum value, the first such index is returned.
It panics if s is zero length.
package floats
import (
	"errors"
	"math"
	"sort"
	"gonum.org/v1/gonum/floats/scalar"
	"gonum.org/v1/gonum/internal/asm/f64"
)
const (
	zeroLength   = "floats: zero length slice"
	shortSpan    = "floats: slice length less than 2"
	badLength    = "floats: slice lengths do not match"
	badDstLength = "floats: destination slice length does not match input"
)
func Add(dst, s []float64) {
	if len(dst) != len(s) {
		panic(badDstLength)
	}
	f64.AxpyUnitaryTo(dst, 1, s, dst)
}
func AddTo(dst, s, t []float64) []float64 {
	if len(s) != len(t) {
		panic(badLength)
	}
	if len(dst) != len(s) {
		panic(badDstLength)
	}
	f64.AxpyUnitaryTo(dst, 1, s, t)
	return dst
}
func AddConst(c float64, dst []float64) {
	f64.AddConst(c, dst)
}
func AddScaled(dst []float64, alpha float64, s []float64) {
	if len(dst) != len(s) {
		panic(badLength)
	}
	f64.AxpyUnitaryTo(dst, alpha, s, dst)
}
func AddScaledTo(dst, y []float64, alpha float64, s []float64) []float64 {
	if len(s) != len(y) {
		panic(badLength)
	}
	if len(dst) != len(y) {
		panic(badDstLength)
	}
	f64.AxpyUnitaryTo(dst, alpha, s, y)
	return dst
}
type argsort struct {
	s    []float64
	inds []int
}
func (a argsort) Len() int {
	return len(a.s)
}
func (a argsort) Less(i, j int) bool {
	return a.s[i] < a.s[j]
}
func (a argsort) Swap(i, j int) {
	a.s[i], a.s[j] = a.s[j], a.s[i]
	a.inds[i], a.inds[j] = a.inds[j], a.inds[i]
}
func Argsort(dst []float64, inds []int) {
	if len(dst) != len(inds) {
		panic(badDstLength)
	}
	for i := range dst {
		inds[i] = i
	}
	a := argsort{s: dst, inds: inds}
	sort.Sort(a)
}
func ArgsortStable(dst []float64, inds []int) {
	if len(dst) != len(inds) {
		panic(badDstLength)
	}
	for i := range dst {
		inds[i] = i
	}
	a := argsort{s: dst, inds: inds}
	sort.Stable(a)
}
func Count(f func(float64) bool, s []float64) int {
	var n int
	for _, val := range s {
		if f(val) {
			n++
		}
	}
	return n
}
func CumProd(dst, s []float64) []float64 {
	if len(dst) != len(s) {
		panic(badDstLength)
	}
	if len(dst) == 0 {
		return dst
	}
	return f64.CumProd(dst, s)
}
func CumSum(dst, s []float64) []float64 {
	if len(dst) != len(s) {
		panic(badDstLength)
	}
	if len(dst) == 0 {
		return dst
	}
	return f64.CumSum(dst, s)
}
func Distance(s, t []float64, L float64) float64 {
	if len(s) != len(t) {
		panic(badLength)
	}
	if len(s) == 0 {
		return 0
	}
	if L == 2 {
		return f64.L2DistanceUnitary(s, t)
	}
	var norm float64
	if L == 1 {
		for i, v := range s {
			norm += math.Abs(t[i] - v)
		}
		return norm
	}
	if math.IsInf(L, 1) {
		for i, v := range s {
			absDiff := math.Abs(t[i] - v)
			if absDiff > norm {
				norm = absDiff
			}
		}
		return norm
	}
	for i, v := range s {
		norm += math.Pow(math.Abs(t[i]-v), L)
	}
	return math.Pow(norm, 1/L)
}
func Div(dst, s []float64) {
	if len(dst) != len(s) {
		panic(badLength)
	}
	f64.Div(dst, s)
}
func DivTo(dst, s, t []float64) []float64 {
	if len(s) != len(t) {
		panic(badLength)
	}
	if len(dst) != len(s) {
		panic(badDstLength)
	}
	return f64.DivTo(dst, s, t)
}
func Dot(s1, s2 []float64) float64 {
	if len(s1) != len(s2) {
		panic(badLength)
	}
	return f64.DotUnitary(s1, s2)
}
func Equal(s1, s2 []float64) bool {
	if len(s1) != len(s2) {
		return false
	}
	for i, val := range s1 {
		if s2[i] != val {
			return false
		}
	}
	return true
}
func EqualApprox(s1, s2 []float64, tol float64) bool {
	if len(s1) != len(s2) {
		return false
	}
	for i, a := range s1 {
		if !scalar.EqualWithinAbsOrRel(a, s2[i], tol, tol) {
			return false
		}
	}
	return true
}
func EqualFunc(s1, s2 []float64, f func(float64, float64) bool) bool {
	if len(s1) != len(s2) {
		return false
	}
	for i, val := range s1 {
		if !f(val, s2[i]) {
			return false
		}
	}
	return true
}
func EqualLengths(slices ...[]float64) bool {
	if len(slices) == 0 {
		return true
	}
	l := len(slices[0])
	for i := 1; i < len(slices); i++ {
		if len(slices[i]) != l {
			return false
		}
	}
	return true
}
func Find(inds []int, f func(float64) bool, s []float64, k int) ([]int, error) {
	inds = inds[:0]
	if k == 0 {
		return inds, nil
	}
	if k < 0 {
		for i, val := range s {
			if f(val) {
				inds = append(inds, i)
			}
		}
		return inds, nil
	}
	nFound := 0
	for i, val := range s {
		if f(val) {
			inds = append(inds, i)
			nFound++
			if nFound == k {
				return inds, nil
			}
		}
	}
	return inds, errors.New("floats: insufficient elements found")
}
func HasNaN(s []float64) bool {
	for _, v := range s {
		if math.IsNaN(v) {
			return true
		}
	}
	return false
}
func LogSpan(dst []float64, l, u float64) []float64 {
	Span(dst, math.Log(l), math.Log(u))
	for i := range dst {
		dst[i] = math.Exp(dst[i])
	}
	return dst
}
func LogSumExp(s []float64) float64 {
	maxval := Max(s)
	if math.IsInf(maxval, 0) {
		return maxval
	}
	var lse float64
	for _, val := range s {
		lse += math.Exp(val - maxval)
	}
	return math.Log(lse) + maxval
}
func Max(s []float64) float64 {
	return s[MaxIdx(s)]
}
func MaxIdx(s []float64) int {
	if len(s) == 0 {
		panic(zeroLength)
	}
	max := math.NaN()
	var ind int
	for i, v := range s {
		if math.IsNaN(v) {
			continue
		}
		if v > max || math.IsNaN(max) {
			max = v
			ind = i
		}
	}
	return ind
}
func Min(s []float64) float64 {
	return s[MinIdx(s)]
}