fabs fraction 1

Average Error: 1.9 → 0.2

Time: 8.7s

Precision: binary64

Cost: 8648

Math

\[\left|\frac{x + 4}{y} - \frac{x}{y} \cdot z\right| \]

↓

\[\begin{array}{l} t_0 := \frac{x + 4}{y} - \frac{x}{y} \cdot z\\ t_1 := \left|\frac{z}{\frac{y}{x}} + \frac{-4 - x}{y}\right|\\ \mathbf{if}\;t_0 \leq -2 \cdot 10^{+36}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t_0 \leq 5 \cdot 10^{+58}:\\ \;\;\;\;\left|\frac{\left(x + 4\right) - x \cdot z}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

FPCore

(FPCore (x y z) :precision binary64 (fabs (- (/ (+ x 4.0) y) (* (/ x y) z))))

↓

(FPCore (x y z)
 :precision binary64
 (let* ((t_0 (- (/ (+ x 4.0) y) (* (/ x y) z)))
        (t_1 (fabs (+ (/ z (/ y x)) (/ (- -4.0 x) y)))))
   (if (<= t_0 -2e+36)
     t_1
     (if (<= t_0 5e+58) (fabs (/ (- (+ x 4.0) (* x z)) y)) t_1))))

C

double code(double x, double y, double z) {
	return fabs((((x + 4.0) / y) - ((x / y) * z)));
}

↓

double code(double x, double y, double z) {
	double t_0 = ((x + 4.0) / y) - ((x / y) * z);
	double t_1 = fabs(((z / (y / x)) + ((-4.0 - x) / y)));
	double tmp;
	if (t_0 <= -2e+36) {
		tmp = t_1;
	} else if (t_0 <= 5e+58) {
		tmp = fabs((((x + 4.0) - (x * z)) / y));
	} else {
		tmp = t_1;
	}
	return tmp;
}

Fortran

real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = abs((((x + 4.0d0) / y) - ((x / y) * z)))
end function

↓

real(8) function code(x, y, z)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: tmp
    t_0 = ((x + 4.0d0) / y) - ((x / y) * z)
    t_1 = abs(((z / (y / x)) + (((-4.0d0) - x) / y)))
    if (t_0 <= (-2d+36)) then
        tmp = t_1
    else if (t_0 <= 5d+58) then
        tmp = abs((((x + 4.0d0) - (x * z)) / y))
    else
        tmp = t_1
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	return Math.abs((((x + 4.0) / y) - ((x / y) * z)));
}

↓

public static double code(double x, double y, double z) {
	double t_0 = ((x + 4.0) / y) - ((x / y) * z);
	double t_1 = Math.abs(((z / (y / x)) + ((-4.0 - x) / y)));
	double tmp;
	if (t_0 <= -2e+36) {
		tmp = t_1;
	} else if (t_0 <= 5e+58) {
		tmp = Math.abs((((x + 4.0) - (x * z)) / y));
	} else {
		tmp = t_1;
	}
	return tmp;
}

Python

def code(x, y, z):
	return math.fabs((((x + 4.0) / y) - ((x / y) * z)))

↓

def code(x, y, z):
	t_0 = ((x + 4.0) / y) - ((x / y) * z)
	t_1 = math.fabs(((z / (y / x)) + ((-4.0 - x) / y)))
	tmp = 0
	if t_0 <= -2e+36:
		tmp = t_1
	elif t_0 <= 5e+58:
		tmp = math.fabs((((x + 4.0) - (x * z)) / y))
	else:
		tmp = t_1
	return tmp

Julia

function code(x, y, z)
	return abs(Float64(Float64(Float64(x + 4.0) / y) - Float64(Float64(x / y) * z)))
end

↓

function code(x, y, z)
	t_0 = Float64(Float64(Float64(x + 4.0) / y) - Float64(Float64(x / y) * z))
	t_1 = abs(Float64(Float64(z / Float64(y / x)) + Float64(Float64(-4.0 - x) / y)))
	tmp = 0.0
	if (t_0 <= -2e+36)
		tmp = t_1;
	elseif (t_0 <= 5e+58)
		tmp = abs(Float64(Float64(Float64(x + 4.0) - Float64(x * z)) / y));
	else
		tmp = t_1;
	end
	return tmp
end

MATLAB

function tmp = code(x, y, z)
	tmp = abs((((x + 4.0) / y) - ((x / y) * z)));
end

↓

function tmp_2 = code(x, y, z)
	t_0 = ((x + 4.0) / y) - ((x / y) * z);
	t_1 = abs(((z / (y / x)) + ((-4.0 - x) / y)));
	tmp = 0.0;
	if (t_0 <= -2e+36)
		tmp = t_1;
	elseif (t_0 <= 5e+58)
		tmp = abs((((x + 4.0) - (x * z)) / y));
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := N[Abs[N[(N[(N[(x + 4.0), $MachinePrecision] / y), $MachinePrecision] - N[(N[(x / y), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]

↓

code[x_, y_, z_] := Block[{t$95$0 = N[(N[(N[(x + 4.0), $MachinePrecision] / y), $MachinePrecision] - N[(N[(x / y), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Abs[N[(N[(z / N[(y / x), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 - x), $MachinePrecision] / y), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, -2e+36], t$95$1, If[LessEqual[t$95$0, 5e+58], N[Abs[N[(N[(N[(x + 4.0), $MachinePrecision] - N[(x * z), $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]], $MachinePrecision], t$95$1]]]]

Derivation

1. Split input into 2 regimes

2. if (-.f64 (/.f64 (+.f64 x 4) y) (*.f64 (/.f64 x y) z)) < -2.00000000000000008e36 or 4.99999999999999986e58 < (-.f64 (/.f64 (+.f64 x 4) y) (*.f64 (/.f64 x y) z))

   1. Initial program 0.1

      \[\left|\frac{x + 4}{y} - \frac{x}{y} \cdot z\right| \]

   2. Applied egg-rr 0.1

      \[\leadsto \left|\frac{x + 4}{y} - \color{blue}{\frac{z}{\frac{y}{x}}}\right| \]

   if -2.00000000000000008e36 < (-.f64 (/.f64 (+.f64 x 4) y) (*.f64 (/.f64 x y) z)) < 4.99999999999999986e58

   1. Initial program 3.9

      \[\left|\frac{x + 4}{y} - \frac{x}{y} \cdot z\right| \]

   2. Applied egg-rr 0.4

      \[\leadsto \left|\color{blue}{\frac{\left(x + 4\right) - x \cdot z}{y}}\right| \]
3. Recombined 2 regimes into one program.

4. Final simplification 0.2

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{x + 4}{y} - \frac{x}{y} \cdot z \leq -2 \cdot 10^{+36}:\\ \;\;\;\;\left|\frac{z}{\frac{y}{x}} + \frac{-4 - x}{y}\right|\\ \mathbf{elif}\;\frac{x + 4}{y} - \frac{x}{y} \cdot z \leq 5 \cdot 10^{+58}:\\ \;\;\;\;\left|\frac{\left(x + 4\right) - x \cdot z}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;\left|\frac{z}{\frac{y}{x}} + \frac{-4 - x}{y}\right|\\ \end{array} \]

Alternatives

Alternative 1
Error	20.2
Cost	7380

\[\begin{array}{l} t_0 := \left|\frac{x}{y}\right|\\ t_1 := \left|\frac{z}{\frac{y}{x}}\right|\\ \mathbf{if}\;x \leq -286099913215834850:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -2.0668441798207357 \cdot 10^{-17}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq 3.7106833638380127 \cdot 10^{-19}:\\ \;\;\;\;\frac{4}{\left|y\right|}\\ \mathbf{elif}\;x \leq 3342237.3718296103:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq 1.55 \cdot 10^{+150}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 2
Error	20.3
Cost	7380

\[\begin{array}{l} t_0 := \left|\frac{x}{y}\right|\\ t_1 := \left|\frac{x}{y} \cdot z\right|\\ \mathbf{if}\;x \leq -286099913215834850:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -1.5491025467799985 \cdot 10^{-23}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq 3.7106833638380127 \cdot 10^{-19}:\\ \;\;\;\;\frac{4}{\left|y\right|}\\ \mathbf{elif}\;x \leq 3342237.3718296103:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq 1.55 \cdot 10^{+150}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;\left|\frac{z}{\frac{y}{x}}\right|\\ \end{array} \]

Alternative 3
Error	20.3
Cost	7380

\[\begin{array}{l} t_0 := \left|\frac{x}{y}\right|\\ \mathbf{if}\;x \leq -286099913215834850:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -1.5491025467799985 \cdot 10^{-23}:\\ \;\;\;\;\left|\frac{x}{\frac{y}{z}}\right|\\ \mathbf{elif}\;x \leq 3.7106833638380127 \cdot 10^{-19}:\\ \;\;\;\;\frac{4}{\left|y\right|}\\ \mathbf{elif}\;x \leq 3342237.3718296103:\\ \;\;\;\;\left|\frac{x}{y} \cdot z\right|\\ \mathbf{elif}\;x \leq 1.55 \cdot 10^{+150}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;\left|\frac{z}{\frac{y}{x}}\right|\\ \end{array} \]

Alternative 4
Error	20.3
Cost	7380

\[\begin{array}{l} t_0 := \left|\frac{x}{y}\right|\\ \mathbf{if}\;x \leq -286099913215834850:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -1.5491025467799985 \cdot 10^{-23}:\\ \;\;\;\;\left|x \cdot \frac{z}{y}\right|\\ \mathbf{elif}\;x \leq 3.7106833638380127 \cdot 10^{-19}:\\ \;\;\;\;\frac{4}{\left|y\right|}\\ \mathbf{elif}\;x \leq 3342237.3718296103:\\ \;\;\;\;\left|\frac{x}{y} \cdot z\right|\\ \mathbf{elif}\;x \leq 1.55 \cdot 10^{+150}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;\left|\frac{z}{\frac{y}{x}}\right|\\ \end{array} \]

Alternative 5
Error	11.9
Cost	7248

\[\begin{array}{l} t_0 := \left|\frac{x}{\frac{y}{z}}\right|\\ \mathbf{if}\;z \leq -3.8826919722397684 \cdot 10^{+94}:\\ \;\;\;\;\left|\frac{x}{y} \cdot z\right|\\ \mathbf{elif}\;z \leq 1524684647.79135:\\ \;\;\;\;\left|\frac{x + 4}{y}\right|\\ \mathbf{elif}\;z \leq 1.2255799947872541 \cdot 10^{+60}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 2.4 \cdot 10^{+128}:\\ \;\;\;\;\frac{4}{\left|y\right|}\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 6
Error	0.2
Cost	7240

\[\begin{array}{l} t_0 := \left|\frac{x}{\frac{y}{1 - z}}\right|\\ \mathbf{if}\;x \leq -1672783139565205.5:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 10^{+46}:\\ \;\;\;\;\left|\frac{\left(x + 4\right) - x \cdot z}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 7
Error	4.5
Cost	7112

\[\begin{array}{l} t_0 := \left|\frac{4 - x \cdot z}{y}\right|\\ \mathbf{if}\;z \leq -123.4510382104606:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 2.942353474769721 \cdot 10^{-16}:\\ \;\;\;\;\left|\frac{x + 4}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 8
Error	1.0
Cost	7112

\[\begin{array}{l} t_0 := \left|x \cdot \frac{1 - z}{y}\right|\\ \mathbf{if}\;x \leq -118.61797569825441:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 0.24455428838152748:\\ \;\;\;\;\left|\frac{4 - x \cdot z}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 9
Error	1.2
Cost	7112

\[\begin{array}{l} t_0 := \left|\frac{x}{y} \cdot \left(1 - z\right)\right|\\ \mathbf{if}\;x \leq -2.0668441798207357 \cdot 10^{-17}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 0.24455428838152748:\\ \;\;\;\;\left|\frac{4 - x \cdot z}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 10
Error	1.2
Cost	7112

\[\begin{array}{l} t_0 := \left|\frac{x}{\frac{y}{1 - z}}\right|\\ \mathbf{if}\;x \leq -2.0668441798207357 \cdot 10^{-17}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 0.24455428838152748:\\ \;\;\;\;\left|\frac{4 - x \cdot z}{y}\right|\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 11
Error	19.1
Cost	6856

\[\begin{array}{l} t_0 := \left|\frac{x}{y}\right|\\ \mathbf{if}\;x \leq -118.61797569825441:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq 0.24455428838152748:\\ \;\;\;\;\frac{4}{\left|y\right|}\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 12
Error	47.0
Cost	6592

\[\left|\frac{x}{y}\right| \]

Reproduce

herbie shell --seed 2022302 
(FPCore (x y z)
  :name "fabs fraction 1"
  :precision binary64
  (fabs (- (/ (+ x 4.0) y) (* (/ x y) z))))