Average Error: 62.0 → 62.0
Time: 4.2s
Precision: 64
\[lo \lt -1.000000000000000010979063629440455417405 \cdot 10^{308} \land hi \gt 1.000000000000000010979063629440455417405 \cdot 10^{308}\]
\[\frac{x - lo}{hi - lo}\]
↓
\[0\]
\frac{x - lo}{hi - lo}
↓
0
double f(double lo, double hi, double x) {
        double r13427 = x;
        double r13428 = lo;
        double r13429 = r13427 - r13428;
        double r13430 = hi;
        double r13431 = r13430 - r13428;
        double r13432 = r13429 / r13431;
        return r13432;
}
↓
double f(double __attribute__((unused)) lo, double __attribute__((unused)) hi, double __attribute__((unused)) x) {
        double r13433 = 0.0;
        return r13433;
}

Error

Bits error versus lo

Bits error versus hi

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 62.0

    \[\frac{x - lo}{hi - lo}\]

  2. Taylor expanded around 0 62.0

    \[\leadsto \color{blue}{0}\]

  3. Final simplification62.0

    \[\leadsto 0\]

Reproduce

herbie shell --seed 2019326 +o rules:numerics
(FPCore (lo hi x)
  :name "(/ (- x lo) (- hi lo))"
  :precision binary64
  :pre (and (< lo -1e+308) (> hi 1e+308))
  (/ (- x lo) (- hi lo)))