// swap swaps the elements with indexes i and j.
func Shuffle(n int, swap func(i, j int)) { globalRand.Shuffle(n, swap) }

// NormFloat64 returns a normally distributed float64 in the range
// [-math.MaxFloat64, +math.MaxFloat64] with
// standard normal distribution (mean = 0, stddev = 1)
// from the default Source.
// To produce a different normal distribution, callers can
// adjust the output using:
//

func Read(p []byte) (n int, err error) { return globalRand().Read(p) }

// NormFloat64 returns a normally distributed float64 in the range
// [-[math.MaxFloat64], +[math.MaxFloat64]] with
// standard normal distribution (mean = 0, stddev = 1)
// from the default [Source].
// To produce a different normal distribution, callers can
// adjust the output using:
//

			},
		},
		{name: "numbers",
			obj:    objs(math.MaxFloat64, math.MaxFloat64, math.MaxFloat32, math.MaxFloat32, math.MaxFloat64, math.MaxFloat64, int64(1)),
			schema: schemas(numberType, numberType, floatType, floatType, doubleType, doubleType, doubleType),
			valid: []string{
				ValsEqualThemselvesAndDataLiteral("self.val1", "self.val2", fmt.Sprintf("%f", math.MaxFloat64)),

			want:          float64(math.SmallestNonzeroFloat64),
			assertOnError: assertNilError,
		},
		{
			name:          "max float64 value",
			in:            hex("fb7fefffffffffffff"),
			want:          float64(math.MaxFloat64),
			assertOnError: assertNilError,
		},
		{
			name:          "max float32 value as double precision",
			in:            hex("fb47efffffe0000000"),
			want:          float64(math.MaxFloat32),

// represented by a float64 (|x| < [math.SmallestNonzeroFloat64]), the result
// is (0, [Below]) or (-0, [Above]), respectively, depending on the sign of x.
// If x is too large to be represented by a float64 (|x| > [math.MaxFloat64]),
// the result is (+Inf, [Above]) or (-Inf, [Below]), depending on the sign of x.
func (x *Float) Float64() (float64, Accuracy) {
	if debugFloat {
		x.validate()
	}

	switch x.form {
	case finite:

	return pl
}

func (pl *reverseNumericMapPlugin) NormalizeScore(_ context.Context, _ *framework.CycleState, _ *v1.Pod, nodeScores framework.NodeScoreList) *framework.Status {
	var maxScore float64
	minScore := math.MaxFloat64

	for _, hostPriority := range nodeScores {
		maxScore = math.Max(maxScore, float64(hostPriority.Score))
		minScore = math.Min(minScore, float64(hostPriority.Score))
	}
	for i, hostPriority := range nodeScores {

		return false
	}
	panic(&ValueError{"reflect.Value.OverflowFloat", v.kind()})
}

func overflowFloat32(x float64) bool {
	if x < 0 {
		x = -x
	}
	return math.MaxFloat32 < x && x <= math.MaxFloat64
}

// OverflowInt reports whether the int64 x cannot be represented by v's type.
// It panics if v's Kind is not [Int], [Int8], [Int16], [Int32], or [Int64].
func (v Value) OverflowInt(x int64) bool {