Average Error: 0.0 → 0.0
Time: 7.4s
Precision: 64
\[x \cdot \left(y + 1\right)\]
↓
\[x \cdot y + 1 \cdot x\]
x \cdot \left(y + 1\right)
↓
x \cdot y + 1 \cdot x
double f(double x, double y) {
        double r913105 = x;
        double r913106 = y;
        double r913107 = 1.0;
        double r913108 = r913106 + r913107;
        double r913109 = r913105 * r913108;
        return r913109;
}
↓
double f(double x, double y) {
        double r913110 = x;
        double r913111 = y;
        double r913112 = r913110 * r913111;
        double r913113 = 1.0;
        double r913114 = r913113 * r913110;
        double r913115 = r913112 + r913114;
        return r913115;
}

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

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

  5. Final simplification0.0

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

Reproduce

herbie shell --seed 2019350 +o rules:numerics
(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)))