MULSD   X5, X5 // x1= k, x2= f, x3= s, x4= s2, x5= s4
	// t1 := s2 * (L1 + s4*(L3+s4*(L5+s4*L7)))
	MOVSD   $L7, X6
	MULSD   X5, X6
	ADDSD   $L5, X6
	MULSD   X5, X6
	ADDSD   $L3, X6
	MULSD   X5, X6
	ADDSD   $L1, X6
	MULSD   X6, X4 // x1= k, x2= f, x3= s, x4= t1, x5= s4
	// t2 := s4 * (L2 + s4*(L4+s4*L6))
	MOVSD   $L6, X6
	MULSD   X5, X6
	ADDSD   $L4, X6
	MULSD   X5, X6
	ADDSD   $L2, X6

// --------------------- //

func Mul2(f float64) float64 {
	// 386/sse2:"ADDSD",-"MULSD"
	// amd64:"ADDSD",-"MULSD"
	// arm/7:"ADDD",-"MULD"
	// arm64:"FADDD",-"FMULD"
	// ppc64x:"FADD",-"FMUL"
	// riscv64:"FADDD",-"FMULD"
	return f * 2.0
}

func DivPow2(f1, f2, f3 float64) (float64, float64, float64) {
	// 386/sse2:"MULSD",-"DIVSD"
	// amd64:"MULSD",-"DIVSD"
	// arm/7:"MULD",-"DIVD"
	// arm64:"FMULD",-"FDIVD"

	// See issue 36400.
	zero := 0.0
	// amd64:-"DIVSD"
	inf := 1 / zero // +inf. We can constant propagate this one.
	negone := -1.0

	// amd64:"DIVSD"
	z0 := zero / zero
	// amd64:"MULSD"
	z1 := zero * inf
	// amd64:"SQRTSD"
	z2 := math.Sqrt(negone)
	return z0 + z1 + z2
}

func nanGenerate32() float32 {
	zero := float32(0.0)
	// amd64:-"DIVSS"