Average Error: 0.0 → 0.0
Time: 8.8s
Precision: 64
\[x \cdot \left(y + 1\right)\]
↓
\[y \cdot x + x \cdot 1\]
x \cdot \left(y + 1\right)
↓
y \cdot x + x \cdot 1
double f(double x, double y) {
        double r572258 = x;
        double r572259 = y;
        double r572260 = 1.0;
        double r572261 = r572259 + r572260;
        double r572262 = r572258 * r572261;
        return r572262;
}
↓
double f(double x, double y) {
        double r572263 = y;
        double r572264 = x;
        double r572265 = r572263 * r572264;
        double r572266 = 1.0;
        double r572267 = r572264 * r572266;
        double r572268 = r572265 + r572267;
        return r572268;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[x + x \cdot y\]

Derivation

  1. Initial program 0.0

    \[x \cdot \left(y + 1\right)\]
  2. Using strategy rm

  3. Applied distribute-lft-in0.0

    \[\leadsto \color{blue}{x \cdot y + x \cdot 1}\]

  4. Simplified0.0

    \[\leadsto \color{blue}{y \cdot x} + x \cdot 1\]

  5. Final simplification0.0

    \[\leadsto y \cdot x + x \cdot 1\]

Reproduce

herbie shell --seed 2019323 
(FPCore (x y)
  :name "Data.Colour.RGBSpace.HSL:hsl from colour-2.3.3, B"
  :precision binary64

  :herbie-target
  (+ x (* x y))

  (* x (+ y 1)))