Data.Colour.RGB:hslsv from colour-2.3.3, E

Average Accuracy: 100.0% → 100.0%

Time: 1.2s

Precision: binary64

Cost: 320

Math

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

↓

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

FPCore

(FPCore (x y) :precision binary64 (/ (- x y) x))

↓

(FPCore (x y) :precision binary64 (/ (- x y) x))

C

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

↓

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

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x - y) / x
end function

↓

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x - y) / x
end function

Java

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

↓

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

Python

def code(x, y):
	return (x - y) / x

↓

def code(x, y):
	return (x - y) / x

Julia

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

↓

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

MATLAB

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

↓

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

Wolfram

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

↓

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

Target

Original	100.0%
Target	100.0%
Herbie	100.0%

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

Derivation

1. Initial program 100.0%

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

2. Final simplification 100.0%

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

Reproduce

herbie shell --seed 2023141 
(FPCore (x y)
  :name "Data.Colour.RGB:hslsv from colour-2.3.3, E"
  :precision binary64

  :herbie-target
  (- 1.0 (/ y x))

  (/ (- x y) x))