Graphics.Rendering.Chart.Backend.Diagrams:calcFontMetrics from Chart-diagrams-1.5.1, A

Percentage Accurate: 88.6% → 99.8%

Time: 46.1s

Alternatives: 9

Speedup: 0.3×

Specification

Math

\[\frac{x + y}{1 - \frac{y}{z}} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (/ (+ x y) (- 1 (/ y z))))

C

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

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (x + y) / (1.0d0 - (y / z))
end function

Java

public static double code(double x, double y, double z) {
	return (x + y) / (1.0 - (y / z));
}

Python

def code(x, y, z):
	return (x + y) / (1.0 - (y / z))

Julia

function code(x, y, z)
	return Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
end

MATLAB

function tmp = code(x, y, z)
	tmp = (x + y) / (1.0 - (y / z));
end

Wolfram

code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] / N[(1 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Initial Program: 88.6% accurate, 1.0× speedup

Math

\[\frac{x + y}{1 - \frac{y}{z}} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (/ (+ x y) (- 1 (/ y z))))

C

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

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = (x + y) / (1.0d0 - (y / z))
end function

Java

public static double code(double x, double y, double z) {
	return (x + y) / (1.0 - (y / z));
}

Python

def code(x, y, z):
	return (x + y) / (1.0 - (y / z))

Julia

function code(x, y, z)
	return Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
end

MATLAB

function tmp = code(x, y, z)
	tmp = (x + y) / (1.0 - (y / z));
end

Wolfram

code[x_, y_, z_] := N[(N[(x + y), $MachinePrecision] / N[(1 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Alternative 1: 99.8% accurate, 0.3× speedup

Math

\[\begin{array}{l} t_0 := \frac{x + y}{1 - \frac{y}{z}}\\ t_1 := \frac{z}{z - y} \cdot \left(y + x\right)\\ \mathbf{if}\;t\_0 \leq \frac{-6237000967295999}{311850048364799970571308236412006025948039259443040240859773006630814358104525635278899682108224328295209757319405077381870693435686499009490495593482004909425000886398607136955865268975681716747289586991334988123957939133612635998263883635695006899610487641699336881506618514879741251551232}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 0:\\ \;\;\;\;\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (let* ((t_0 (/ (+ x y) (- 1 (/ y z))))
       (t_1 (* (/ z (- z y)) (+ y x))))
  (if (<=
       t_0
       -6237000967295999/311850048364799970571308236412006025948039259443040240859773006630814358104525635278899682108224328295209757319405077381870693435686499009490495593482004909425000886398607136955865268975681716747289586991334988123957939133612635998263883635695006899610487641699336881506618514879741251551232)
    t_1
    (if (<= t_0 0) (- (* (/ x (- z y)) z) (* (/ y (- y z)) z)) t_1))))

C

double code(double x, double y, double z) {
	double t_0 = (x + y) / (1.0 - (y / z));
	double t_1 = (z / (z - y)) * (y + x);
	double tmp;
	if (t_0 <= -2e-275) {
		tmp = t_1;
	} else if (t_0 <= 0.0) {
		tmp = ((x / (z - y)) * z) - ((y / (y - z)) * z);
	} else {
		tmp = t_1;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    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 + y) / (1.0d0 - (y / z))
    t_1 = (z / (z - y)) * (y + x)
    if (t_0 <= (-2d-275)) then
        tmp = t_1
    else if (t_0 <= 0.0d0) then
        tmp = ((x / (z - y)) * z) - ((y / (y - z)) * z)
    else
        tmp = t_1
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double t_0 = (x + y) / (1.0 - (y / z));
	double t_1 = (z / (z - y)) * (y + x);
	double tmp;
	if (t_0 <= -2e-275) {
		tmp = t_1;
	} else if (t_0 <= 0.0) {
		tmp = ((x / (z - y)) * z) - ((y / (y - z)) * z);
	} else {
		tmp = t_1;
	}
	return tmp;
}

Python

def code(x, y, z):
	t_0 = (x + y) / (1.0 - (y / z))
	t_1 = (z / (z - y)) * (y + x)
	tmp = 0
	if t_0 <= -2e-275:
		tmp = t_1
	elif t_0 <= 0.0:
		tmp = ((x / (z - y)) * z) - ((y / (y - z)) * z)
	else:
		tmp = t_1
	return tmp

Julia

function code(x, y, z)
	t_0 = Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
	t_1 = Float64(Float64(z / Float64(z - y)) * Float64(y + x))
	tmp = 0.0
	if (t_0 <= -2e-275)
		tmp = t_1;
	elseif (t_0 <= 0.0)
		tmp = Float64(Float64(Float64(x / Float64(z - y)) * z) - Float64(Float64(y / Float64(y - z)) * z));
	else
		tmp = t_1;
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	t_0 = (x + y) / (1.0 - (y / z));
	t_1 = (z / (z - y)) * (y + x);
	tmp = 0.0;
	if (t_0 <= -2e-275)
		tmp = t_1;
	elseif (t_0 <= 0.0)
		tmp = ((x / (z - y)) * z) - ((y / (y - z)) * z);
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := Block[{t$95$0 = N[(N[(x + y), $MachinePrecision] / N[(1 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(z / N[(z - y), $MachinePrecision]), $MachinePrecision] * N[(y + x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -6237000967295999/311850048364799970571308236412006025948039259443040240859773006630814358104525635278899682108224328295209757319405077381870693435686499009490495593482004909425000886398607136955865268975681716747289586991334988123957939133612635998263883635695006899610487641699336881506618514879741251551232], t$95$1, If[LessEqual[t$95$0, 0], N[(N[(N[(x / N[(z - y), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision] - N[(N[(y / N[(y - z), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision], t$95$1]]]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z))) < -1.9999999999999999e-275 or 0.0 < (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z)))

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. mult-flip N/A

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

      3. *-commutative N/A

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

      4. lower-*.f64 N/A

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

      5. lift--.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. sub-to-fraction N/A

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

      8. div-flip-rev N/A

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

      9. lower-/.f64 N/A

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

      10. *-lft-identity N/A

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

      11. lower--.f64 89.2%

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

      12. lift-+.f64 N/A

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

      13. +-commutative N/A

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

      14. lower-+.f64 89.2%

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

   3. Applied rewrites 89.2%

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

   if -1.9999999999999999e-275 < (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z))) < 0.0

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift-+.f64 N/A

         \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

      3. add-flip N/A

         \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

      4. div-sub N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      5. lower--.f64 N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      6. lift--.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      11. lower-/.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      12. *-lft-identity N/A

          \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      14. lift--.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

      15. lift-/.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

      16. sub-to-fraction N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

      17. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

      18. frac-2neg-rev N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

      19. remove-double-neg N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

      20. lower-*.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 2: 99.8% accurate, 0.3× speedup

Math

\[\begin{array}{l} t_0 := \frac{x + y}{1 - \frac{y}{z}}\\ t_1 := \frac{z}{z - y} \cdot \left(y + x\right)\\ \mathbf{if}\;t\_0 \leq \frac{-6237000967295999}{311850048364799970571308236412006025948039259443040240859773006630814358104525635278899682108224328295209757319405077381870693435686499009490495593482004909425000886398607136955865268975681716747289586991334988123957939133612635998263883635695006899610487641699336881506618514879741251551232}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 0:\\ \;\;\;\;\frac{y + x}{z - y} \cdot z\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (let* ((t_0 (/ (+ x y) (- 1 (/ y z))))
       (t_1 (* (/ z (- z y)) (+ y x))))
  (if (<=
       t_0
       -6237000967295999/311850048364799970571308236412006025948039259443040240859773006630814358104525635278899682108224328295209757319405077381870693435686499009490495593482004909425000886398607136955865268975681716747289586991334988123957939133612635998263883635695006899610487641699336881506618514879741251551232)
    t_1
    (if (<= t_0 0) (* (/ (+ y x) (- z y)) z) t_1))))

C

double code(double x, double y, double z) {
	double t_0 = (x + y) / (1.0 - (y / z));
	double t_1 = (z / (z - y)) * (y + x);
	double tmp;
	if (t_0 <= -2e-275) {
		tmp = t_1;
	} else if (t_0 <= 0.0) {
		tmp = ((y + x) / (z - y)) * z;
	} else {
		tmp = t_1;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    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 + y) / (1.0d0 - (y / z))
    t_1 = (z / (z - y)) * (y + x)
    if (t_0 <= (-2d-275)) then
        tmp = t_1
    else if (t_0 <= 0.0d0) then
        tmp = ((y + x) / (z - y)) * z
    else
        tmp = t_1
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double t_0 = (x + y) / (1.0 - (y / z));
	double t_1 = (z / (z - y)) * (y + x);
	double tmp;
	if (t_0 <= -2e-275) {
		tmp = t_1;
	} else if (t_0 <= 0.0) {
		tmp = ((y + x) / (z - y)) * z;
	} else {
		tmp = t_1;
	}
	return tmp;
}

Python

def code(x, y, z):
	t_0 = (x + y) / (1.0 - (y / z))
	t_1 = (z / (z - y)) * (y + x)
	tmp = 0
	if t_0 <= -2e-275:
		tmp = t_1
	elif t_0 <= 0.0:
		tmp = ((y + x) / (z - y)) * z
	else:
		tmp = t_1
	return tmp

Julia

function code(x, y, z)
	t_0 = Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
	t_1 = Float64(Float64(z / Float64(z - y)) * Float64(y + x))
	tmp = 0.0
	if (t_0 <= -2e-275)
		tmp = t_1;
	elseif (t_0 <= 0.0)
		tmp = Float64(Float64(Float64(y + x) / Float64(z - y)) * z);
	else
		tmp = t_1;
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	t_0 = (x + y) / (1.0 - (y / z));
	t_1 = (z / (z - y)) * (y + x);
	tmp = 0.0;
	if (t_0 <= -2e-275)
		tmp = t_1;
	elseif (t_0 <= 0.0)
		tmp = ((y + x) / (z - y)) * z;
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := Block[{t$95$0 = N[(N[(x + y), $MachinePrecision] / N[(1 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(z / N[(z - y), $MachinePrecision]), $MachinePrecision] * N[(y + x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -6237000967295999/311850048364799970571308236412006025948039259443040240859773006630814358104525635278899682108224328295209757319405077381870693435686499009490495593482004909425000886398607136955865268975681716747289586991334988123957939133612635998263883635695006899610487641699336881506618514879741251551232], t$95$1, If[LessEqual[t$95$0, 0], N[(N[(N[(y + x), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision], t$95$1]]]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z))) < -1.9999999999999999e-275 or 0.0 < (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z)))

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. mult-flip N/A

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

      3. *-commutative N/A

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

      4. lower-*.f64 N/A

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

      5. lift--.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. sub-to-fraction N/A

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

      8. div-flip-rev N/A

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

      9. lower-/.f64 N/A

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

      10. *-lft-identity N/A

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

      11. lower--.f64 89.2%

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

      12. lift-+.f64 N/A

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

      13. +-commutative N/A

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

      14. lower-+.f64 89.2%

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

   3. Applied rewrites 89.2%

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

   if -1.9999999999999999e-275 < (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z))) < 0.0

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift--.f64 N/A

         \[\leadsto \frac{x + y}{\color{blue}{1 - \frac{y}{z}}} \]

      3. lift-/.f64 N/A

         \[\leadsto \frac{x + y}{1 - \color{blue}{\frac{y}{z}}} \]

      4. sub-to-fraction N/A

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

      5. associate-/r/ N/A

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

      6. lower-*.f64 N/A

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

      7. lower-/.f64 N/A

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

      8. lift-+.f64 N/A

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

      9. +-commutative N/A

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

      10. lower-+.f64 N/A

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

      11. *-lft-identity N/A

          \[\leadsto \frac{y + x}{\color{blue}{z} - y} \cdot z \]

      12. lower--.f64 92.5%

          \[\leadsto \frac{y + x}{\color{blue}{z - y}} \cdot z \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{y + x}{z - y} \cdot z} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 3: 97.8% accurate, 0.3× speedup

Math

\[\begin{array}{l} t_0 := \frac{x + y}{1 - \frac{y}{z}}\\ t_1 := \frac{z}{z - y} \cdot \left(y + x\right)\\ \mathbf{if}\;t\_0 \leq \frac{-3511119404027961}{351111940402796075728379920075981393284761128699669252487168127261196632432619068618571244770327218791250222421623815151677323767215657465806342637967722899175327916845440400930277772658683777577056802640791026892262013051450122815378736544025053197584668966180832613749896964723593195907881555331297312768}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 0:\\ \;\;\;\;-z\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (let* ((t_0 (/ (+ x y) (- 1 (/ y z))))
       (t_1 (* (/ z (- z y)) (+ y x))))
  (if (<=
       t_0
       -3511119404027961/351111940402796075728379920075981393284761128699669252487168127261196632432619068618571244770327218791250222421623815151677323767215657465806342637967722899175327916845440400930277772658683777577056802640791026892262013051450122815378736544025053197584668966180832613749896964723593195907881555331297312768)
    t_1
    (if (<= t_0 0) (- z) t_1))))

C

double code(double x, double y, double z) {
	double t_0 = (x + y) / (1.0 - (y / z));
	double t_1 = (z / (z - y)) * (y + x);
	double tmp;
	if (t_0 <= -1e-290) {
		tmp = t_1;
	} else if (t_0 <= 0.0) {
		tmp = -z;
	} else {
		tmp = t_1;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    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 + y) / (1.0d0 - (y / z))
    t_1 = (z / (z - y)) * (y + x)
    if (t_0 <= (-1d-290)) then
        tmp = t_1
    else if (t_0 <= 0.0d0) then
        tmp = -z
    else
        tmp = t_1
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double t_0 = (x + y) / (1.0 - (y / z));
	double t_1 = (z / (z - y)) * (y + x);
	double tmp;
	if (t_0 <= -1e-290) {
		tmp = t_1;
	} else if (t_0 <= 0.0) {
		tmp = -z;
	} else {
		tmp = t_1;
	}
	return tmp;
}

Python

def code(x, y, z):
	t_0 = (x + y) / (1.0 - (y / z))
	t_1 = (z / (z - y)) * (y + x)
	tmp = 0
	if t_0 <= -1e-290:
		tmp = t_1
	elif t_0 <= 0.0:
		tmp = -z
	else:
		tmp = t_1
	return tmp

Julia

function code(x, y, z)
	t_0 = Float64(Float64(x + y) / Float64(1.0 - Float64(y / z)))
	t_1 = Float64(Float64(z / Float64(z - y)) * Float64(y + x))
	tmp = 0.0
	if (t_0 <= -1e-290)
		tmp = t_1;
	elseif (t_0 <= 0.0)
		tmp = Float64(-z);
	else
		tmp = t_1;
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	t_0 = (x + y) / (1.0 - (y / z));
	t_1 = (z / (z - y)) * (y + x);
	tmp = 0.0;
	if (t_0 <= -1e-290)
		tmp = t_1;
	elseif (t_0 <= 0.0)
		tmp = -z;
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := Block[{t$95$0 = N[(N[(x + y), $MachinePrecision] / N[(1 - N[(y / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(z / N[(z - y), $MachinePrecision]), $MachinePrecision] * N[(y + x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -3511119404027961/351111940402796075728379920075981393284761128699669252487168127261196632432619068618571244770327218791250222421623815151677323767215657465806342637967722899175327916845440400930277772658683777577056802640791026892262013051450122815378736544025053197584668966180832613749896964723593195907881555331297312768], t$95$1, If[LessEqual[t$95$0, 0], (-z), t$95$1]]]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z))) < -1.0000000000000001e-290 or 0.0 < (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z)))

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. mult-flip N/A

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

      3. *-commutative N/A

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

      4. lower-*.f64 N/A

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

      5. lift--.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. sub-to-fraction N/A

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

      8. div-flip-rev N/A

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

      9. lower-/.f64 N/A

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

      10. *-lft-identity N/A

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

      11. lower--.f64 89.2%

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

      12. lift-+.f64 N/A

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

      13. +-commutative N/A

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

      14. lower-+.f64 89.2%

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

   3. Applied rewrites 89.2%

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

   if -1.0000000000000001e-290 < (/.f64 (+.f64 x y) (-.f64 #s(literal 1 binary64) (/.f64 y z))) < 0.0

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 4: 75.1% accurate, 0.8× speedup

Math

\[\begin{array}{l} t_0 := \frac{y}{z - y} \cdot z\\ \mathbf{if}\;y \leq -194999999999999983724270038920213885242203718025216:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;y \leq \frac{-2018324372703715}{2124551971267068394758352826209874509318372470908127692797776552801614239443408970956650009060917142675557317944986004061386317350610828957638079915066349407775325083341572876126912512}:\\ \;\;\;\;\frac{z}{z - y} \cdot x\\ \mathbf{elif}\;y \leq \frac{35681192317649}{2854495385411919762116571938898990272765493248}:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (let* ((t_0 (* (/ y (- z y)) z)))
  (if (<= y -194999999999999983724270038920213885242203718025216)
    t_0
    (if (<=
         y
         -2018324372703715/2124551971267068394758352826209874509318372470908127692797776552801614239443408970956650009060917142675557317944986004061386317350610828957638079915066349407775325083341572876126912512)
      (* (/ z (- z y)) x)
      (if (<=
           y
           35681192317649/2854495385411919762116571938898990272765493248)
        (+ x y)
        t_0)))))

C

double code(double x, double y, double z) {
	double t_0 = (y / (z - y)) * z;
	double tmp;
	if (y <= -1.95e+50) {
		tmp = t_0;
	} else if (y <= -9.5e-169) {
		tmp = (z / (z - y)) * x;
	} else if (y <= 1.25e-32) {
		tmp = x + y;
	} else {
		tmp = t_0;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: t_0
    real(8) :: tmp
    t_0 = (y / (z - y)) * z
    if (y <= (-1.95d+50)) then
        tmp = t_0
    else if (y <= (-9.5d-169)) then
        tmp = (z / (z - y)) * x
    else if (y <= 1.25d-32) then
        tmp = x + y
    else
        tmp = t_0
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double t_0 = (y / (z - y)) * z;
	double tmp;
	if (y <= -1.95e+50) {
		tmp = t_0;
	} else if (y <= -9.5e-169) {
		tmp = (z / (z - y)) * x;
	} else if (y <= 1.25e-32) {
		tmp = x + y;
	} else {
		tmp = t_0;
	}
	return tmp;
}

Python

def code(x, y, z):
	t_0 = (y / (z - y)) * z
	tmp = 0
	if y <= -1.95e+50:
		tmp = t_0
	elif y <= -9.5e-169:
		tmp = (z / (z - y)) * x
	elif y <= 1.25e-32:
		tmp = x + y
	else:
		tmp = t_0
	return tmp

Julia

function code(x, y, z)
	t_0 = Float64(Float64(y / Float64(z - y)) * z)
	tmp = 0.0
	if (y <= -1.95e+50)
		tmp = t_0;
	elseif (y <= -9.5e-169)
		tmp = Float64(Float64(z / Float64(z - y)) * x);
	elseif (y <= 1.25e-32)
		tmp = Float64(x + y);
	else
		tmp = t_0;
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	t_0 = (y / (z - y)) * z;
	tmp = 0.0;
	if (y <= -1.95e+50)
		tmp = t_0;
	elseif (y <= -9.5e-169)
		tmp = (z / (z - y)) * x;
	elseif (y <= 1.25e-32)
		tmp = x + y;
	else
		tmp = t_0;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := Block[{t$95$0 = N[(N[(y / N[(z - y), $MachinePrecision]), $MachinePrecision] * z), $MachinePrecision]}, If[LessEqual[y, -194999999999999983724270038920213885242203718025216], t$95$0, If[LessEqual[y, -2018324372703715/2124551971267068394758352826209874509318372470908127692797776552801614239443408970956650009060917142675557317944986004061386317350610828957638079915066349407775325083341572876126912512], N[(N[(z / N[(z - y), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision], If[LessEqual[y, 35681192317649/2854495385411919762116571938898990272765493248], N[(x + y), $MachinePrecision], t$95$0]]]]

Derivation

1. Split input into 3 regimes

2. if y < -1.9499999999999998e50 or 1.2500000000000001e-32 < y

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift--.f64 N/A

         \[\leadsto \frac{x + y}{\color{blue}{1 - \frac{y}{z}}} \]

      3. lift-/.f64 N/A

         \[\leadsto \frac{x + y}{1 - \color{blue}{\frac{y}{z}}} \]

      4. sub-to-fraction N/A

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

      5. associate-/r/ N/A

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

      6. lower-*.f64 N/A

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

      7. lower-/.f64 N/A

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

      8. lift-+.f64 N/A

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

      9. +-commutative N/A

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

      10. lower-+.f64 N/A

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

      11. *-lft-identity N/A

          \[\leadsto \frac{y + x}{\color{blue}{z} - y} \cdot z \]

      12. lower--.f64 92.5%

          \[\leadsto \frac{y + x}{\color{blue}{z - y}} \cdot z \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{y + x}{z - y} \cdot z} \]

   4. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{y}{z - y}} \cdot z \]
   5. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{y}{\color{blue}{z - y}} \cdot z \]

      2. lower--.f64 49.1%

         \[\leadsto \frac{y}{z - \color{blue}{y}} \cdot z \]

   6. Applied rewrites 49.1%

      \[\leadsto \color{blue}{\frac{y}{z - y}} \cdot z \]

   if -1.9499999999999998e50 < y < -9.5000000000000001e-169

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]

   7. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}}} \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} \]

      3. lower-/.f64 49.5%

         \[\leadsto \frac{x}{1 - \frac{y}{\color{blue}{z}}} \]

   9. Applied rewrites 49.5%

      \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}}} \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} \]

       2. lift--.f64 N/A

          \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} \]

       3. lift-/.f64 N/A

          \[\leadsto \frac{x}{1 - \frac{y}{\color{blue}{z}}} \]

       4. sub-to-fraction N/A

          \[\leadsto \frac{x}{\frac{1 \cdot z - y}{\color{blue}{z}}} \]

       5. *-lft-identity N/A

          \[\leadsto \frac{x}{\frac{z - y}{z}} \]

       6. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot \color{blue}{z} \]

       7. associate-*l/ N/A

          \[\leadsto \frac{x \cdot z}{\color{blue}{z - y}} \]

       8. associate-*r/ N/A

          \[\leadsto x \cdot \color{blue}{\frac{z}{z - y}} \]

       9. *-commutative N/A

          \[\leadsto \frac{z}{z - y} \cdot \color{blue}{x} \]

       10. lower-*.f64 N/A

           \[\leadsto \frac{z}{z - y} \cdot \color{blue}{x} \]

       11. lower-/.f64 N/A

           \[\leadsto \frac{z}{z - y} \cdot x \]

       12. lift--.f64 49.6%

           \[\leadsto \frac{z}{z - y} \cdot x \]

   11. Applied rewrites 49.6%

       \[\leadsto \frac{z}{z - y} \cdot \color{blue}{x} \]

   if -9.5000000000000001e-169 < y < 1.2500000000000001e-32

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift-+.f64 N/A

         \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

      3. add-flip N/A

         \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

      4. div-sub N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      5. lower--.f64 N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      6. lift--.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      11. lower-/.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      12. *-lft-identity N/A

          \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      14. lift--.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

      15. lift-/.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

      16. sub-to-fraction N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

      17. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

      18. frac-2neg-rev N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

      19. remove-double-neg N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

      20. lower-*.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]

   4. Taylor expanded in z around inf

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   5. Step-by-step derivation

      1. lower--.f64 N/A

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

      2. lower-*.f64 51.9%

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

   6. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   7. Step-by-step derivation

      1. distribute-rgt-out-- 51.9%

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

      2. sub-flip 51.9%

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

      3. +-commutative 51.9%

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

      4. distribute-neg-frac2 51.9%

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

      5. sub-negate-rev 51.9%

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

      6. lift--.f64 N/A

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

      7. lift--.f64 N/A

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

      8. div-add N/A

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

      9. lift-+.f64 N/A

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

      10. associate-/l* N/A

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

      11. associate-*l/ N/A

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

      12. lift--.f64 N/A

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

      13. lift-+.f64 51.9%

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

      14. lift--.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. mul-1-neg N/A

          \[\leadsto x - \left(\mathsf{neg}\left(y\right)\right) \]

      17. add-flip N/A

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

      18. lower-+.f64 51.9%

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

   8. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x + y} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 5: 69.8% accurate, 0.7× speedup

Math

\[\begin{array}{l} \mathbf{if}\;y \leq -194999999999999983724270038920213885242203718025216:\\ \;\;\;\;-z\\ \mathbf{elif}\;y \leq \frac{-2018324372703715}{2124551971267068394758352826209874509318372470908127692797776552801614239443408970956650009060917142675557317944986004061386317350610828957638079915066349407775325083341572876126912512}:\\ \;\;\;\;\frac{z}{z - y} \cdot x\\ \mathbf{elif}\;y \leq \frac{319703483166135}{11417981541647679048466287755595961091061972992}:\\ \;\;\;\;x + y\\ \mathbf{elif}\;y \leq 550000000000000034620484012274092293161598264847377161196670750875660543518704867470375044471607874880979271586561345253287966082623990237146785940556165572473160640990296858979914666830930817442259472152448714805578030907392:\\ \;\;\;\;\frac{y \cdot z}{z - y}\\ \mathbf{else}:\\ \;\;\;\;-z\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (if (<= y -194999999999999983724270038920213885242203718025216)
  (- z)
  (if (<=
       y
       -2018324372703715/2124551971267068394758352826209874509318372470908127692797776552801614239443408970956650009060917142675557317944986004061386317350610828957638079915066349407775325083341572876126912512)
    (* (/ z (- z y)) x)
    (if (<=
         y
         319703483166135/11417981541647679048466287755595961091061972992)
      (+ x y)
      (if (<=
           y
           550000000000000034620484012274092293161598264847377161196670750875660543518704867470375044471607874880979271586561345253287966082623990237146785940556165572473160640990296858979914666830930817442259472152448714805578030907392)
        (/ (* y z) (- z y))
        (- z))))))

C

double code(double x, double y, double z) {
	double tmp;
	if (y <= -1.95e+50) {
		tmp = -z;
	} else if (y <= -9.5e-169) {
		tmp = (z / (z - y)) * x;
	} else if (y <= 2.8e-32) {
		tmp = x + y;
	} else if (y <= 5.5e+224) {
		tmp = (y * z) / (z - y);
	} else {
		tmp = -z;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: tmp
    if (y <= (-1.95d+50)) then
        tmp = -z
    else if (y <= (-9.5d-169)) then
        tmp = (z / (z - y)) * x
    else if (y <= 2.8d-32) then
        tmp = x + y
    else if (y <= 5.5d+224) then
        tmp = (y * z) / (z - y)
    else
        tmp = -z
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double tmp;
	if (y <= -1.95e+50) {
		tmp = -z;
	} else if (y <= -9.5e-169) {
		tmp = (z / (z - y)) * x;
	} else if (y <= 2.8e-32) {
		tmp = x + y;
	} else if (y <= 5.5e+224) {
		tmp = (y * z) / (z - y);
	} else {
		tmp = -z;
	}
	return tmp;
}

Python

def code(x, y, z):
	tmp = 0
	if y <= -1.95e+50:
		tmp = -z
	elif y <= -9.5e-169:
		tmp = (z / (z - y)) * x
	elif y <= 2.8e-32:
		tmp = x + y
	elif y <= 5.5e+224:
		tmp = (y * z) / (z - y)
	else:
		tmp = -z
	return tmp

Julia

function code(x, y, z)
	tmp = 0.0
	if (y <= -1.95e+50)
		tmp = Float64(-z);
	elseif (y <= -9.5e-169)
		tmp = Float64(Float64(z / Float64(z - y)) * x);
	elseif (y <= 2.8e-32)
		tmp = Float64(x + y);
	elseif (y <= 5.5e+224)
		tmp = Float64(Float64(y * z) / Float64(z - y));
	else
		tmp = Float64(-z);
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	tmp = 0.0;
	if (y <= -1.95e+50)
		tmp = -z;
	elseif (y <= -9.5e-169)
		tmp = (z / (z - y)) * x;
	elseif (y <= 2.8e-32)
		tmp = x + y;
	elseif (y <= 5.5e+224)
		tmp = (y * z) / (z - y);
	else
		tmp = -z;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := If[LessEqual[y, -194999999999999983724270038920213885242203718025216], (-z), If[LessEqual[y, -2018324372703715/2124551971267068394758352826209874509318372470908127692797776552801614239443408970956650009060917142675557317944986004061386317350610828957638079915066349407775325083341572876126912512], N[(N[(z / N[(z - y), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision], If[LessEqual[y, 319703483166135/11417981541647679048466287755595961091061972992], N[(x + y), $MachinePrecision], If[LessEqual[y, 550000000000000034620484012274092293161598264847377161196670750875660543518704867470375044471607874880979271586561345253287966082623990237146785940556165572473160640990296858979914666830930817442259472152448714805578030907392], N[(N[(y * z), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision], (-z)]]]]

Derivation

1. Split input into 4 regimes

2. if y < -1.9499999999999998e50 or 5.5000000000000003e224 < y

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]

   if -1.9499999999999998e50 < y < -9.5000000000000001e-169

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]

   7. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}}} \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} \]

      2. lower--.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} \]

      3. lower-/.f64 49.5%

         \[\leadsto \frac{x}{1 - \frac{y}{\color{blue}{z}}} \]

   9. Applied rewrites 49.5%

      \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}}} \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} \]

       2. lift--.f64 N/A

          \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} \]

       3. lift-/.f64 N/A

          \[\leadsto \frac{x}{1 - \frac{y}{\color{blue}{z}}} \]

       4. sub-to-fraction N/A

          \[\leadsto \frac{x}{\frac{1 \cdot z - y}{\color{blue}{z}}} \]

       5. *-lft-identity N/A

          \[\leadsto \frac{x}{\frac{z - y}{z}} \]

       6. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot \color{blue}{z} \]

       7. associate-*l/ N/A

          \[\leadsto \frac{x \cdot z}{\color{blue}{z - y}} \]

       8. associate-*r/ N/A

          \[\leadsto x \cdot \color{blue}{\frac{z}{z - y}} \]

       9. *-commutative N/A

          \[\leadsto \frac{z}{z - y} \cdot \color{blue}{x} \]

       10. lower-*.f64 N/A

           \[\leadsto \frac{z}{z - y} \cdot \color{blue}{x} \]

       11. lower-/.f64 N/A

           \[\leadsto \frac{z}{z - y} \cdot x \]

       12. lift--.f64 49.6%

           \[\leadsto \frac{z}{z - y} \cdot x \]

   11. Applied rewrites 49.6%

       \[\leadsto \frac{z}{z - y} \cdot \color{blue}{x} \]

   if -9.5000000000000001e-169 < y < 2.7999999999999999e-32

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift-+.f64 N/A

         \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

      3. add-flip N/A

         \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

      4. div-sub N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      5. lower--.f64 N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      6. lift--.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      11. lower-/.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      12. *-lft-identity N/A

          \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      14. lift--.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

      15. lift-/.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

      16. sub-to-fraction N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

      17. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

      18. frac-2neg-rev N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

      19. remove-double-neg N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

      20. lower-*.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]

   4. Taylor expanded in z around inf

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   5. Step-by-step derivation

      1. lower--.f64 N/A

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

      2. lower-*.f64 51.9%

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

   6. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   7. Step-by-step derivation

      1. distribute-rgt-out-- 51.9%

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

      2. sub-flip 51.9%

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

      3. +-commutative 51.9%

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

      4. distribute-neg-frac2 51.9%

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

      5. sub-negate-rev 51.9%

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

      6. lift--.f64 N/A

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

      7. lift--.f64 N/A

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

      8. div-add N/A

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

      9. lift-+.f64 N/A

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

      10. associate-/l* N/A

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

      11. associate-*l/ N/A

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

      12. lift--.f64 N/A

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

      13. lift-+.f64 51.9%

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

      14. lift--.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. mul-1-neg N/A

          \[\leadsto x - \left(\mathsf{neg}\left(y\right)\right) \]

      17. add-flip N/A

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

      18. lower-+.f64 51.9%

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

   8. Applied rewrites 51.9%

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

   if 2.7999999999999999e-32 < y < 5.5000000000000003e224

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. mult-flip N/A

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

      3. *-commutative N/A

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

      4. lower-*.f64 N/A

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

      5. lift--.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. sub-to-fraction N/A

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

      8. div-flip-rev N/A

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

      9. lower-/.f64 N/A

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

      10. *-lft-identity N/A

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

      11. lower--.f64 89.2%

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

      12. lift-+.f64 N/A

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

      13. +-commutative N/A

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

      14. lower-+.f64 89.2%

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

   3. Applied rewrites 89.2%

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

   4. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{y \cdot z}{z - y}} \]
   5. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{y \cdot z}{\color{blue}{z - y}} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{y \cdot z}{\color{blue}{z} - y} \]

      3. lower--.f64 39.4%

         \[\leadsto \frac{y \cdot z}{z - \color{blue}{y}} \]

   6. Applied rewrites 39.4%

      \[\leadsto \color{blue}{\frac{y \cdot z}{z - y}} \]
3. Recombined 4 regimes into one program.
4. Add Preprocessing

Alternative 6: 69.2% accurate, 0.8× speedup

Math

\[\begin{array}{l} \mathbf{if}\;y \leq -8199999999999999888373114960669082384948087332005840710986759143424:\\ \;\;\;\;-z\\ \mathbf{elif}\;y \leq \frac{319703483166135}{11417981541647679048466287755595961091061972992}:\\ \;\;\;\;x + y\\ \mathbf{elif}\;y \leq 550000000000000034620484012274092293161598264847377161196670750875660543518704867470375044471607874880979271586561345253287966082623990237146785940556165572473160640990296858979914666830930817442259472152448714805578030907392:\\ \;\;\;\;\frac{y \cdot z}{z - y}\\ \mathbf{else}:\\ \;\;\;\;-z\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (if (<=
     y
     -8199999999999999888373114960669082384948087332005840710986759143424)
  (- z)
  (if (<=
       y
       319703483166135/11417981541647679048466287755595961091061972992)
    (+ x y)
    (if (<=
         y
         550000000000000034620484012274092293161598264847377161196670750875660543518704867470375044471607874880979271586561345253287966082623990237146785940556165572473160640990296858979914666830930817442259472152448714805578030907392)
      (/ (* y z) (- z y))
      (- z)))))

C

double code(double x, double y, double z) {
	double tmp;
	if (y <= -8.2e+66) {
		tmp = -z;
	} else if (y <= 2.8e-32) {
		tmp = x + y;
	} else if (y <= 5.5e+224) {
		tmp = (y * z) / (z - y);
	} else {
		tmp = -z;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: tmp
    if (y <= (-8.2d+66)) then
        tmp = -z
    else if (y <= 2.8d-32) then
        tmp = x + y
    else if (y <= 5.5d+224) then
        tmp = (y * z) / (z - y)
    else
        tmp = -z
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double tmp;
	if (y <= -8.2e+66) {
		tmp = -z;
	} else if (y <= 2.8e-32) {
		tmp = x + y;
	} else if (y <= 5.5e+224) {
		tmp = (y * z) / (z - y);
	} else {
		tmp = -z;
	}
	return tmp;
}

Python

def code(x, y, z):
	tmp = 0
	if y <= -8.2e+66:
		tmp = -z
	elif y <= 2.8e-32:
		tmp = x + y
	elif y <= 5.5e+224:
		tmp = (y * z) / (z - y)
	else:
		tmp = -z
	return tmp

Julia

function code(x, y, z)
	tmp = 0.0
	if (y <= -8.2e+66)
		tmp = Float64(-z);
	elseif (y <= 2.8e-32)
		tmp = Float64(x + y);
	elseif (y <= 5.5e+224)
		tmp = Float64(Float64(y * z) / Float64(z - y));
	else
		tmp = Float64(-z);
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	tmp = 0.0;
	if (y <= -8.2e+66)
		tmp = -z;
	elseif (y <= 2.8e-32)
		tmp = x + y;
	elseif (y <= 5.5e+224)
		tmp = (y * z) / (z - y);
	else
		tmp = -z;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := If[LessEqual[y, -8199999999999999888373114960669082384948087332005840710986759143424], (-z), If[LessEqual[y, 319703483166135/11417981541647679048466287755595961091061972992], N[(x + y), $MachinePrecision], If[LessEqual[y, 550000000000000034620484012274092293161598264847377161196670750875660543518704867470375044471607874880979271586561345253287966082623990237146785940556165572473160640990296858979914666830930817442259472152448714805578030907392], N[(N[(y * z), $MachinePrecision] / N[(z - y), $MachinePrecision]), $MachinePrecision], (-z)]]]

Derivation

1. Split input into 3 regimes

2. if y < -8.1999999999999999e66 or 5.5000000000000003e224 < y

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]

   if -8.1999999999999999e66 < y < 2.7999999999999999e-32

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift-+.f64 N/A

         \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

      3. add-flip N/A

         \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

      4. div-sub N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      5. lower--.f64 N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      6. lift--.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      11. lower-/.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      12. *-lft-identity N/A

          \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      14. lift--.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

      15. lift-/.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

      16. sub-to-fraction N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

      17. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

      18. frac-2neg-rev N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

      19. remove-double-neg N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

      20. lower-*.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]

   4. Taylor expanded in z around inf

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   5. Step-by-step derivation

      1. lower--.f64 N/A

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

      2. lower-*.f64 51.9%

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

   6. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   7. Step-by-step derivation

      1. distribute-rgt-out-- 51.9%

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

      2. sub-flip 51.9%

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

      3. +-commutative 51.9%

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

      4. distribute-neg-frac2 51.9%

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

      5. sub-negate-rev 51.9%

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

      6. lift--.f64 N/A

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

      7. lift--.f64 N/A

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

      8. div-add N/A

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

      9. lift-+.f64 N/A

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

      10. associate-/l* N/A

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

      11. associate-*l/ N/A

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

      12. lift--.f64 N/A

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

      13. lift-+.f64 51.9%

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

      14. lift--.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. mul-1-neg N/A

          \[\leadsto x - \left(\mathsf{neg}\left(y\right)\right) \]

      17. add-flip N/A

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

      18. lower-+.f64 51.9%

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

   8. Applied rewrites 51.9%

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

   if 2.7999999999999999e-32 < y < 5.5000000000000003e224

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. mult-flip N/A

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

      3. *-commutative N/A

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

      4. lower-*.f64 N/A

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

      5. lift--.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. sub-to-fraction N/A

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

      8. div-flip-rev N/A

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

      9. lower-/.f64 N/A

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

      10. *-lft-identity N/A

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

      11. lower--.f64 89.2%

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

      12. lift-+.f64 N/A

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

      13. +-commutative N/A

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

      14. lower-+.f64 89.2%

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

   3. Applied rewrites 89.2%

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

   4. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{y \cdot z}{z - y}} \]
   5. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{y \cdot z}{\color{blue}{z - y}} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{y \cdot z}{\color{blue}{z} - y} \]

      3. lower--.f64 39.4%

         \[\leadsto \frac{y \cdot z}{z - \color{blue}{y}} \]

   6. Applied rewrites 39.4%

      \[\leadsto \color{blue}{\frac{y \cdot z}{z - y}} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 7: 69.0% accurate, 1.8× speedup

Math

\[\begin{array}{l} \mathbf{if}\;y \leq -8199999999999999888373114960669082384948087332005840710986759143424:\\ \;\;\;\;-z\\ \mathbf{elif}\;y \leq 72000000000000000693102649494470656:\\ \;\;\;\;x + y\\ \mathbf{else}:\\ \;\;\;\;-z\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (if (<=
     y
     -8199999999999999888373114960669082384948087332005840710986759143424)
  (- z)
  (if (<= y 72000000000000000693102649494470656) (+ x y) (- z))))

C

double code(double x, double y, double z) {
	double tmp;
	if (y <= -8.2e+66) {
		tmp = -z;
	} else if (y <= 7.2e+34) {
		tmp = x + y;
	} else {
		tmp = -z;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: tmp
    if (y <= (-8.2d+66)) then
        tmp = -z
    else if (y <= 7.2d+34) then
        tmp = x + y
    else
        tmp = -z
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double tmp;
	if (y <= -8.2e+66) {
		tmp = -z;
	} else if (y <= 7.2e+34) {
		tmp = x + y;
	} else {
		tmp = -z;
	}
	return tmp;
}

Python

def code(x, y, z):
	tmp = 0
	if y <= -8.2e+66:
		tmp = -z
	elif y <= 7.2e+34:
		tmp = x + y
	else:
		tmp = -z
	return tmp

Julia

function code(x, y, z)
	tmp = 0.0
	if (y <= -8.2e+66)
		tmp = Float64(-z);
	elseif (y <= 7.2e+34)
		tmp = Float64(x + y);
	else
		tmp = Float64(-z);
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	tmp = 0.0;
	if (y <= -8.2e+66)
		tmp = -z;
	elseif (y <= 7.2e+34)
		tmp = x + y;
	else
		tmp = -z;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := If[LessEqual[y, -8199999999999999888373114960669082384948087332005840710986759143424], (-z), If[LessEqual[y, 72000000000000000693102649494470656], N[(x + y), $MachinePrecision], (-z)]]

Derivation

1. Split input into 2 regimes

2. if y < -8.1999999999999999e66 or 7.2000000000000001e34 < y

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]

   if -8.1999999999999999e66 < y < 7.2000000000000001e34

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift-+.f64 N/A

         \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

      3. add-flip N/A

         \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

      4. div-sub N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      5. lower--.f64 N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      6. lift--.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      11. lower-/.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      12. *-lft-identity N/A

          \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      14. lift--.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

      15. lift-/.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

      16. sub-to-fraction N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

      17. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

      18. frac-2neg-rev N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

      19. remove-double-neg N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

      20. lower-*.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]

   4. Taylor expanded in z around inf

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   5. Step-by-step derivation

      1. lower--.f64 N/A

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

      2. lower-*.f64 51.9%

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

   6. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   7. Step-by-step derivation

      1. distribute-rgt-out-- 51.9%

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

      2. sub-flip 51.9%

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

      3. +-commutative 51.9%

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

      4. distribute-neg-frac2 51.9%

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

      5. sub-negate-rev 51.9%

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

      6. lift--.f64 N/A

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

      7. lift--.f64 N/A

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

      8. div-add N/A

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

      9. lift-+.f64 N/A

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

      10. associate-/l* N/A

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

      11. associate-*l/ N/A

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

      12. lift--.f64 N/A

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

      13. lift-+.f64 51.9%

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

      14. lift--.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. mul-1-neg N/A

          \[\leadsto x - \left(\mathsf{neg}\left(y\right)\right) \]

      17. add-flip N/A

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

      18. lower-+.f64 51.9%

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

   8. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x + y} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 8: 40.8% accurate, 1.9× speedup

Math

\[\begin{array}{l} \mathbf{if}\;z \leq -179999999999999991809867743164304086087427869300453890886284773824455759423616381689070858720502746283775855272893250654006708753453914860067394837843033146261504:\\ \;\;\;\;y\\ \mathbf{elif}\;z \leq 1050000000000000039771512955146801415361985593779020615116046538467559188987904:\\ \;\;\;\;-z\\ \mathbf{else}:\\ \;\;\;\;y\\ \end{array} \]

FPCore

(FPCore (x y z)
  :precision binary64
  (if (<=
     z
     -179999999999999991809867743164304086087427869300453890886284773824455759423616381689070858720502746283775855272893250654006708753453914860067394837843033146261504)
  y
  (if (<=
       z
       1050000000000000039771512955146801415361985593779020615116046538467559188987904)
    (- z)
    y)))

C

double code(double x, double y, double z) {
	double tmp;
	if (z <= -1.8e+161) {
		tmp = y;
	} else if (z <= 1.05e+78) {
		tmp = -z;
	} else {
		tmp = y;
	}
	return tmp;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8) :: tmp
    if (z <= (-1.8d+161)) then
        tmp = y
    else if (z <= 1.05d+78) then
        tmp = -z
    else
        tmp = y
    end if
    code = tmp
end function

Java

public static double code(double x, double y, double z) {
	double tmp;
	if (z <= -1.8e+161) {
		tmp = y;
	} else if (z <= 1.05e+78) {
		tmp = -z;
	} else {
		tmp = y;
	}
	return tmp;
}

Python

def code(x, y, z):
	tmp = 0
	if z <= -1.8e+161:
		tmp = y
	elif z <= 1.05e+78:
		tmp = -z
	else:
		tmp = y
	return tmp

Julia

function code(x, y, z)
	tmp = 0.0
	if (z <= -1.8e+161)
		tmp = y;
	elseif (z <= 1.05e+78)
		tmp = Float64(-z);
	else
		tmp = y;
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y, z)
	tmp = 0.0;
	if (z <= -1.8e+161)
		tmp = y;
	elseif (z <= 1.05e+78)
		tmp = -z;
	else
		tmp = y;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_, z_] := If[LessEqual[z, -179999999999999991809867743164304086087427869300453890886284773824455759423616381689070858720502746283775855272893250654006708753453914860067394837843033146261504], y, If[LessEqual[z, 1050000000000000039771512955146801415361985593779020615116046538467559188987904], (-z), y]]

Derivation

1. Split input into 2 regimes

2. if z < -1.7999999999999999e161 or 1.05e78 < z

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

      2. lift-+.f64 N/A

         \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

      3. add-flip N/A

         \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

      4. div-sub N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      5. lower--.f64 N/A

         \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

      6. lift--.f64 N/A

         \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      11. lower-/.f64 N/A

          \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      12. *-lft-identity N/A

          \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

      14. lift--.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

      15. lift-/.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

      16. sub-to-fraction N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

      17. associate-/r/ N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

      18. frac-2neg-rev N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

      19. remove-double-neg N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

      20. lower-*.f64 N/A

          \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

   3. Applied rewrites 92.5%

      \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]

   4. Taylor expanded in z around inf

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   5. Step-by-step derivation

      1. lower--.f64 N/A

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

      2. lower-*.f64 51.9%

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

   6. Applied rewrites 51.9%

      \[\leadsto \color{blue}{x - -1 \cdot y} \]
   7. Step-by-step derivation

      1. distribute-rgt-out-- 51.9%

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

      2. sub-flip 51.9%

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

      3. +-commutative 51.9%

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

      4. distribute-neg-frac2 51.9%

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

      5. sub-negate-rev 51.9%

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

      6. lift--.f64 N/A

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

      7. lift--.f64 N/A

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

      8. div-add N/A

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

      9. lift-+.f64 N/A

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

      10. associate-/l* N/A

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

      11. associate-*l/ N/A

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

      12. lift--.f64 N/A

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

      13. lift-+.f64 51.9%

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

      14. lift--.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. mul-1-neg N/A

          \[\leadsto x - \left(\mathsf{neg}\left(y\right)\right) \]

      17. add-flip N/A

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

      18. lower-+.f64 51.9%

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

   8. Applied rewrites 51.9%

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

   9. Taylor expanded in x around 0

      \[\leadsto y \]
   10. Step-by-step derivation

   11. Applied rewrites 18.6%

       \[\leadsto y \]

   if -1.7999999999999999e161 < z < 1.05e78

   1. Initial program 88.6%

      \[\frac{x + y}{1 - \frac{y}{z}} \]

   2. Taylor expanded in y around inf

      \[\leadsto \color{blue}{-1 \cdot z} \]
   3. Step-by-step derivation

      1. lower-*.f64 34.7%

         \[\leadsto -1 \cdot \color{blue}{z} \]

   4. Applied rewrites 34.7%

      \[\leadsto \color{blue}{-1 \cdot z} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{z} \]

      2. mul-1-neg N/A

         \[\leadsto \mathsf{neg}\left(z\right) \]

      3. lower-neg.f64 34.7%

         \[\leadsto -z \]

   6. Applied rewrites 34.7%

      \[\leadsto -z \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 9: 18.6% accurate, 29.0× speedup

Math

\[y \]

FPCore

(FPCore (x y z)
  :precision binary64
  y)

C

double code(double x, double y, double z) {
	return y;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x, y, z)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    code = y
end function

Java

public static double code(double x, double y, double z) {
	return y;
}

Python

def code(x, y, z):
	return y

Julia

function code(x, y, z)
	return y
end

MATLAB

function tmp = code(x, y, z)
	tmp = y;
end

Wolfram

code[x_, y_, z_] := y

Derivation

1. Initial program 88.6%

   \[\frac{x + y}{1 - \frac{y}{z}} \]
2. Step-by-step derivation

   1. lift-/.f64 N/A

      \[\leadsto \color{blue}{\frac{x + y}{1 - \frac{y}{z}}} \]

   2. lift-+.f64 N/A

      \[\leadsto \frac{\color{blue}{x + y}}{1 - \frac{y}{z}} \]

   3. add-flip N/A

      \[\leadsto \frac{\color{blue}{x - \left(\mathsf{neg}\left(y\right)\right)}}{1 - \frac{y}{z}} \]

   4. div-sub N/A

      \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

   5. lower--.f64 N/A

      \[\leadsto \color{blue}{\frac{x}{1 - \frac{y}{z}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}}} \]

   6. lift--.f64 N/A

      \[\leadsto \frac{x}{\color{blue}{1 - \frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   7. lift-/.f64 N/A

      \[\leadsto \frac{x}{1 - \color{blue}{\frac{y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   8. sub-to-fraction N/A

      \[\leadsto \frac{x}{\color{blue}{\frac{1 \cdot z - y}{z}}} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   9. associate-/r/ N/A

      \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   10. lower-*.f64 N/A

       \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y} \cdot z} - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   11. lower-/.f64 N/A

       \[\leadsto \color{blue}{\frac{x}{1 \cdot z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   12. *-lft-identity N/A

       \[\leadsto \frac{x}{\color{blue}{z} - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   13. lower--.f64 N/A

       \[\leadsto \frac{x}{\color{blue}{z - y}} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \frac{y}{z}} \]

   14. lift--.f64 N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{1 - \frac{y}{z}}} \]

   15. lift-/.f64 N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{1 - \color{blue}{\frac{y}{z}}} \]

   16. sub-to-fraction N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \frac{\mathsf{neg}\left(y\right)}{\color{blue}{\frac{1 \cdot z - y}{z}}} \]

   17. associate-/r/ N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(y\right)}{1 \cdot z - y} \cdot z} \]

   18. frac-2neg-rev N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(y\right)\right)\right)}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)}} \cdot z \]

   19. remove-double-neg N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \frac{\color{blue}{y}}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z \]

   20. lower-*.f64 N/A

       \[\leadsto \frac{x}{z - y} \cdot z - \color{blue}{\frac{y}{\mathsf{neg}\left(\left(1 \cdot z - y\right)\right)} \cdot z} \]

3. Applied rewrites 92.5%

   \[\leadsto \color{blue}{\frac{x}{z - y} \cdot z - \frac{y}{y - z} \cdot z} \]

4. Taylor expanded in z around inf

   \[\leadsto \color{blue}{x - -1 \cdot y} \]
5. Step-by-step derivation

   1. lower--.f64 N/A

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

   2. lower-*.f64 51.9%

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

6. Applied rewrites 51.9%

   \[\leadsto \color{blue}{x - -1 \cdot y} \]
7. Step-by-step derivation

   1. distribute-rgt-out-- 51.9%

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

   2. sub-flip 51.9%

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

   3. +-commutative 51.9%

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

   4. distribute-neg-frac2 51.9%

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

   5. sub-negate-rev 51.9%

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

   6. lift--.f64 N/A

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

   7. lift--.f64 N/A

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

   8. div-add N/A

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

   9. lift-+.f64 N/A

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

   10. associate-/l* N/A

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

   11. associate-*l/ N/A

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

   12. lift--.f64 N/A

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

   13. lift-+.f64 51.9%

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

   14. lift--.f64 N/A

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

   15. lift-*.f64 N/A

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

   16. mul-1-neg N/A

       \[\leadsto x - \left(\mathsf{neg}\left(y\right)\right) \]

   17. add-flip N/A

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

   18. lower-+.f64 51.9%

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

8. Applied rewrites 51.9%

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

9. Taylor expanded in x around 0

   \[\leadsto y \]
10. Step-by-step derivation

11. Applied rewrites 18.6%

    \[\leadsto y \]
12. Add Preprocessing

Reproduce

herbie shell --seed 2025271 -o generate:evaluate
(FPCore (x y z)
  :name "Graphics.Rendering.Chart.Backend.Diagrams:calcFontMetrics from Chart-diagrams-1.5.1, A"
  :precision binary64
  (/ (+ x y) (- 1 (/ y z))))