Linear.Projection:infinitePerspective from linear-1.19.1.3, A

Average Error: 7.0 → 1.2

Time: 9.5s

Precision: binary64

Cost: 1736

Math

\[\frac{x \cdot 2}{y \cdot z - t \cdot z} \]

↓

\[\begin{array}{l} t_1 := y \cdot z - z \cdot t\\ t_2 := \frac{\frac{x}{y - t}}{\frac{z}{2}}\\ \mathbf{if}\;t_1 \leq -\infty:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t_1 \leq 10^{+261}:\\ \;\;\;\;\frac{x \cdot 2}{t_1}\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

FPCore

(FPCore (x y z t) :precision binary64 (/ (* x 2.0) (- (* y z) (* t z))))

↓

(FPCore (x y z t)
 :precision binary64
 (let* ((t_1 (- (* y z) (* z t))) (t_2 (/ (/ x (- y t)) (/ z 2.0))))
   (if (<= t_1 (- INFINITY)) t_2 (if (<= t_1 1e+261) (/ (* x 2.0) t_1) t_2))))

C

double code(double x, double y, double z, double t) {
	return (x * 2.0) / ((y * z) - (t * z));
}

↓

double code(double x, double y, double z, double t) {
	double t_1 = (y * z) - (z * t);
	double t_2 = (x / (y - t)) / (z / 2.0);
	double tmp;
	if (t_1 <= -((double) INFINITY)) {
		tmp = t_2;
	} else if (t_1 <= 1e+261) {
		tmp = (x * 2.0) / t_1;
	} else {
		tmp = t_2;
	}
	return tmp;
}

Java

public static double code(double x, double y, double z, double t) {
	return (x * 2.0) / ((y * z) - (t * z));
}

↓

public static double code(double x, double y, double z, double t) {
	double t_1 = (y * z) - (z * t);
	double t_2 = (x / (y - t)) / (z / 2.0);
	double tmp;
	if (t_1 <= -Double.POSITIVE_INFINITY) {
		tmp = t_2;
	} else if (t_1 <= 1e+261) {
		tmp = (x * 2.0) / t_1;
	} else {
		tmp = t_2;
	}
	return tmp;
}

Python

def code(x, y, z, t):
	return (x * 2.0) / ((y * z) - (t * z))

↓

def code(x, y, z, t):
	t_1 = (y * z) - (z * t)
	t_2 = (x / (y - t)) / (z / 2.0)
	tmp = 0
	if t_1 <= -math.inf:
		tmp = t_2
	elif t_1 <= 1e+261:
		tmp = (x * 2.0) / t_1
	else:
		tmp = t_2
	return tmp

Julia

function code(x, y, z, t)
	return Float64(Float64(x * 2.0) / Float64(Float64(y * z) - Float64(t * z)))
end

↓

function code(x, y, z, t)
	t_1 = Float64(Float64(y * z) - Float64(z * t))
	t_2 = Float64(Float64(x / Float64(y - t)) / Float64(z / 2.0))
	tmp = 0.0
	if (t_1 <= Float64(-Inf))
		tmp = t_2;
	elseif (t_1 <= 1e+261)
		tmp = Float64(Float64(x * 2.0) / t_1);
	else
		tmp = t_2;
	end
	return tmp
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = (x * 2.0) / ((y * z) - (t * z));
end

↓

function tmp_2 = code(x, y, z, t)
	t_1 = (y * z) - (z * t);
	t_2 = (x / (y - t)) / (z / 2.0);
	tmp = 0.0;
	if (t_1 <= -Inf)
		tmp = t_2;
	elseif (t_1 <= 1e+261)
		tmp = (x * 2.0) / t_1;
	else
		tmp = t_2;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_, t_] := N[(N[(x * 2.0), $MachinePrecision] / N[(N[(y * z), $MachinePrecision] - N[(t * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

↓

code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(y * z), $MachinePrecision] - N[(z * t), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(x / N[(y - t), $MachinePrecision]), $MachinePrecision] / N[(z / 2.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, (-Infinity)], t$95$2, If[LessEqual[t$95$1, 1e+261], N[(N[(x * 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], t$95$2]]]]

Target

Original	7.0
Target	2.2
Herbie	1.2

\[\begin{array}{l} \mathbf{if}\;\frac{x \cdot 2}{y \cdot z - t \cdot z} < -2.559141628295061 \cdot 10^{-13}:\\ \;\;\;\;\frac{x}{\left(y - t\right) \cdot z} \cdot 2\\ \mathbf{elif}\;\frac{x \cdot 2}{y \cdot z - t \cdot z} < 1.045027827330126 \cdot 10^{-269}:\\ \;\;\;\;\frac{\frac{x}{z} \cdot 2}{y - t}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{\left(y - t\right) \cdot z} \cdot 2\\ \end{array} \]

Derivation

1. Split input into 2 regimes

2. if (-.f64 (*.f64 y z) (*.f64 t z)) < -inf.0 or 9.9999999999999993e260 < (-.f64 (*.f64 y z) (*.f64 t z))

   1. Initial program 22.5

      \[\frac{x \cdot 2}{y \cdot z - t \cdot z} \]

   2. Applied egg-rr 17.6

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

   3. Taylor expanded in z around 0 17.6

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

   4. Simplified 0.1

      \[\leadsto \color{blue}{\frac{\frac{x}{y - t}}{\frac{z}{2}}} \]
      Proof
      (/.f64 (/.f64 x (-.f64 y t)) (/.f64 z 2)): 0 points increase in error, 0 points decrease in error
      (Rewrite<= associate-/l*_binary64 (/.f64 (*.f64 (/.f64 x (-.f64 y t)) 2) z)): 0 points increase in error, 0 points decrease in error
      (Rewrite<= associate-*l/_binary64 (*.f64 (/.f64 (/.f64 x (-.f64 y t)) z) 2)): 3 points increase in error, 0 points decrease in error
      (*.f64 (Rewrite<= associate-/r*_binary64 (/.f64 x (*.f64 (-.f64 y t) z))) 2): 36 points increase in error, 64 points decrease in error
      (Rewrite<= *-commutative_binary64 (*.f64 2 (/.f64 x (*.f64 (-.f64 y t) z)))): 0 points increase in error, 0 points decrease in error

   if -inf.0 < (-.f64 (*.f64 y z) (*.f64 t z)) < 9.9999999999999993e260

   1. Initial program 1.6

      \[\frac{x \cdot 2}{y \cdot z - t \cdot z} \]
3. Recombined 2 regimes into one program.

4. Final simplification 1.2

   \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot z - z \cdot t \leq -\infty:\\ \;\;\;\;\frac{\frac{x}{y - t}}{\frac{z}{2}}\\ \mathbf{elif}\;y \cdot z - z \cdot t \leq 10^{+261}:\\ \;\;\;\;\frac{x \cdot 2}{y \cdot z - z \cdot t}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{x}{y - t}}{\frac{z}{2}}\\ \end{array} \]

Alternatives

Alternative 1
Error	17.0
Cost	976

\[\begin{array}{l} t_1 := \frac{x \cdot -2}{z \cdot t}\\ t_2 := x \cdot \frac{\frac{2}{y}}{z}\\ \mathbf{if}\;y \leq -2.598465338660279 \cdot 10^{-18}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq 5.3364779411721436 \cdot 10^{-42}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 463417190489344100:\\ \;\;\;\;\frac{\frac{x \cdot 2}{z}}{y}\\ \mathbf{elif}\;y \leq 1.6502635306467384 \cdot 10^{+42}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 2
Error	17.1
Cost	976

\[\begin{array}{l} t_1 := \frac{x \cdot -2}{z \cdot t}\\ t_2 := \frac{x \cdot 2}{y \cdot z}\\ \mathbf{if}\;y \leq -2.598465338660279 \cdot 10^{-18}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq 5.3364779411721436 \cdot 10^{-42}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 463417190489344100:\\ \;\;\;\;\frac{\frac{x \cdot 2}{z}}{y}\\ \mathbf{elif}\;y \leq 1.6502635306467384 \cdot 10^{+42}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 3
Error	17.0
Cost	976

\[\begin{array}{l} t_1 := \frac{x \cdot 2}{y \cdot z}\\ \mathbf{if}\;y \leq -2.598465338660279 \cdot 10^{-18}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 5.3364779411721436 \cdot 10^{-42}:\\ \;\;\;\;x \cdot \frac{\frac{-2}{t}}{z}\\ \mathbf{elif}\;y \leq 463417190489344100:\\ \;\;\;\;\frac{\frac{x \cdot 2}{z}}{y}\\ \mathbf{elif}\;y \leq 1.6502635306467384 \cdot 10^{+42}:\\ \;\;\;\;\frac{x \cdot -2}{z \cdot t}\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 4
Error	6.2
Cost	972

\[\begin{array}{l} t_1 := \frac{\frac{x}{y - t}}{\frac{z}{2}}\\ \mathbf{if}\;t \leq -1 \cdot 10^{-270}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq 10^{-155}:\\ \;\;\;\;x \cdot \frac{\frac{2}{y}}{z}\\ \mathbf{elif}\;t \leq 9.157751293583288 \cdot 10^{+180}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z} \cdot \frac{-2}{t}\\ \end{array} \]

Alternative 5
Error	17.0
Cost	712

\[\begin{array}{l} t_1 := \frac{\frac{2}{\frac{y}{x}}}{z}\\ \mathbf{if}\;y \leq -1.3024928853281242 \cdot 10^{-73}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 6.199341249988489 \cdot 10^{-40}:\\ \;\;\;\;\frac{\frac{x \cdot -2}{t}}{z}\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 6
Error	17.0
Cost	712

\[\begin{array}{l} t_1 := x \cdot \frac{\frac{2}{y}}{z}\\ \mathbf{if}\;y \leq -1.3024928853281242 \cdot 10^{-73}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 6.199341249988489 \cdot 10^{-40}:\\ \;\;\;\;\frac{\frac{x \cdot -2}{t}}{z}\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 7
Error	18.1
Cost	712

\[\begin{array}{l} \mathbf{if}\;t \leq -4.0115564960379587 \cdot 10^{+40}:\\ \;\;\;\;\frac{\frac{x \cdot -2}{t}}{z}\\ \mathbf{elif}\;t \leq 8.140438170198236 \cdot 10^{-82}:\\ \;\;\;\;x \cdot \frac{\frac{2}{y}}{z}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{-2}{t}}{\frac{z}{x}}\\ \end{array} \]

Alternative 8
Error	5.6
Cost	576

\[x \cdot \frac{\frac{2}{y - t}}{z} \]

Alternative 9
Error	31.6
Cost	448

\[\frac{\frac{x \cdot -2}{t}}{z} \]

Reproduce

herbie shell --seed 2022308 
(FPCore (x y z t)
  :name "Linear.Projection:infinitePerspective from linear-1.19.1.3, A"
  :precision binary64

  :herbie-target
  (if (< (/ (* x 2.0) (- (* y z) (* t z))) -2.559141628295061e-13) (* (/ x (* (- y t) z)) 2.0) (if (< (/ (* x 2.0) (- (* y z) (* t z))) 1.045027827330126e-269) (/ (* (/ x z) 2.0) (- y t)) (* (/ x (* (- y t) z)) 2.0)))

  (/ (* x 2.0) (- (* y z) (* t z))))