System.Random.MWC.Distributions:truncatedExp from mwc-random-0.13.3.2

Average Error: 24.4 → 8.3

Time: 7.6s

Precision: 64

• could not determine a ground truth for program body

  1. x = 8.771955959733449e-51
  2. y = 1.0090151288716349e-206
  3. z = 5.1572421902127275e+265
  4. t = -4240874295.0135207

Math

\[x - \frac{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}{t}\]

↓

\[\begin{array}{l} \mathbf{if}\;z \le -0.0015621185568995256:\\ \;\;\;\;x - \sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)} \cdot \frac{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}}{t}\\ \mathbf{elif}\;z \le 5.03284933011189963 \cdot 10^{-80}:\\ \;\;\;\;x - \left(1 \cdot \left(\frac{z}{\sqrt[3]{t} \cdot \sqrt[3]{t}} \cdot \frac{y}{\sqrt[3]{t}}\right) + \frac{\log 1}{t}\right)\\ \mathbf{else}:\\ \;\;\;\;x - \frac{\log \left(1 + y \cdot \left(\frac{1}{2} \cdot {z}^{2} + z\right)\right)}{t}\\ \end{array}\]

C

double code(double x, double y, double z, double t) {
	return (x - (log(((1.0 - y) + (y * exp(z)))) / t));
}

↓

double code(double x, double y, double z, double t) {
	double temp;
	if ((z <= -0.0015621185568995256)) {
		temp = (x - (sqrt(log(((1.0 - y) + (y * exp(z))))) * (sqrt(log(((1.0 - y) + (y * exp(z))))) / t)));
	} else {
		double temp_1;
		if ((z <= 5.0328493301119e-80)) {
			temp_1 = (x - ((1.0 * ((z / (cbrt(t) * cbrt(t))) * (y / cbrt(t)))) + (log(1.0) / t)));
		} else {
			temp_1 = (x - (log((1.0 + (y * ((0.5 * pow(z, 2.0)) + z)))) / t));
		}
		temp = temp_1;
	}
	return temp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Target

Original	24.4
Target	16.3
Herbie	8.3

\[\begin{array}{l} \mathbf{if}\;z \lt -2.88746230882079466 \cdot 10^{119}:\\ \;\;\;\;\left(x - \frac{\frac{-0.5}{y \cdot t}}{z \cdot z}\right) - \frac{-0.5}{y \cdot t} \cdot \frac{\frac{2}{z}}{z \cdot z}\\ \mathbf{else}:\\ \;\;\;\;x - \frac{\log \left(1 + z \cdot y\right)}{t}\\ \end{array}\]

Derivation

1. Split input into 3 regimes

2. if z < -0.0015621185568995256

   1. Initial program 11.4

      \[x - \frac{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}{t}\]
   2. Using strategy rm

   3. Applied *-un-lft-identity 11.4

      \[\leadsto x - \frac{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}{\color{blue}{1 \cdot t}}\]

   4. Applied add-sqr-sqrt 12.4

      \[\leadsto x - \frac{\color{blue}{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)} \cdot \sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}}}{1 \cdot t}\]

   5. Applied times-frac 12.4

      \[\leadsto x - \color{blue}{\frac{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}}{1} \cdot \frac{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}}{t}}\]

   6. Simplified 12.4

      \[\leadsto x - \color{blue}{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}} \cdot \frac{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}}{t}\]

   if -0.0015621185568995256 < z < 5.0328493301119e-80

   1. Initial program 30.0

      \[x - \frac{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}{t}\]

   2. Taylor expanded around 0 5.8

      \[\leadsto x - \frac{\color{blue}{0.5 \cdot \left({z}^{2} \cdot y\right) + \left(1 \cdot \left(z \cdot y\right) + \log 1\right)}}{t}\]

   3. Simplified 5.8

      \[\leadsto x - \frac{\color{blue}{\log 1 + y \cdot \left(0.5 \cdot {z}^{2} + 1 \cdot z\right)}}{t}\]

   4. Taylor expanded around 0 5.8

      \[\leadsto \color{blue}{x - \left(1 \cdot \frac{z \cdot y}{t} + \frac{\log 1}{t}\right)}\]
   5. Using strategy rm

   6. Applied add-cube-cbrt 6.0

      \[\leadsto x - \left(1 \cdot \frac{z \cdot y}{\color{blue}{\left(\sqrt[3]{t} \cdot \sqrt[3]{t}\right) \cdot \sqrt[3]{t}}} + \frac{\log 1}{t}\right)\]

   7. Applied times-frac 5.6

      \[\leadsto x - \left(1 \cdot \color{blue}{\left(\frac{z}{\sqrt[3]{t} \cdot \sqrt[3]{t}} \cdot \frac{y}{\sqrt[3]{t}}\right)} + \frac{\log 1}{t}\right)\]

   if 5.0328493301119e-80 < z

   1. Initial program 29.2

      \[x - \frac{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}{t}\]

   2. Taylor expanded around 0 13.5

      \[\leadsto x - \frac{\log \color{blue}{\left(\frac{1}{2} \cdot \left({z}^{2} \cdot y\right) + \left(z \cdot y + 1\right)\right)}}{t}\]

   3. Simplified 13.5

      \[\leadsto x - \frac{\log \color{blue}{\left(1 + y \cdot \left(\frac{1}{2} \cdot {z}^{2} + z\right)\right)}}{t}\]
3. Recombined 3 regimes into one program.

4. Final simplification 8.3

   \[\leadsto \begin{array}{l} \mathbf{if}\;z \le -0.0015621185568995256:\\ \;\;\;\;x - \sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)} \cdot \frac{\sqrt{\log \left(\left(1 - y\right) + y \cdot e^{z}\right)}}{t}\\ \mathbf{elif}\;z \le 5.03284933011189963 \cdot 10^{-80}:\\ \;\;\;\;x - \left(1 \cdot \left(\frac{z}{\sqrt[3]{t} \cdot \sqrt[3]{t}} \cdot \frac{y}{\sqrt[3]{t}}\right) + \frac{\log 1}{t}\right)\\ \mathbf{else}:\\ \;\;\;\;x - \frac{\log \left(1 + y \cdot \left(\frac{1}{2} \cdot {z}^{2} + z\right)\right)}{t}\\ \end{array}\]

Reproduce

herbie shell --seed 2020057 
(FPCore (x y z t)
  :name "System.Random.MWC.Distributions:truncatedExp from mwc-random-0.13.3.2"
  :precision binary64

  :herbie-target
  (if (< z -2.8874623088207947e+119) (- (- x (/ (/ (- 0.5) (* y t)) (* z z))) (* (/ (- 0.5) (* y t)) (/ (/ 2 z) (* z z)))) (- x (/ (log (+ 1 (* z y))) t)))

  (- x (/ (log (+ (- 1 y) (* y (exp z)))) t)))