Average Error: 0.0 → 0.0
Time: 1.6s
Precision: binary64
\[\frac{x + y}{y + 1} \]
↓
\[\frac{y + x}{y + 1} \]
(FPCore (x y) :precision binary64 (/ (+ x y) (+ y 1.0)))
↓
(FPCore (x y) :precision binary64 (/ (+ y x) (+ y 1.0)))
double code(double x, double y) {
	return (x + y) / (y + 1.0);
}
↓
double code(double x, double y) {
	return (y + x) / (y + 1.0);
}

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x + y) / (y + 1.0d0)
end function
↓
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (y + x) / (y + 1.0d0)
end function

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

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

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

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

code[x_, y_] := N[(N[(x + y), $MachinePrecision] / N[(y + 1.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(N[(y + x), $MachinePrecision] / N[(y + 1.0), $MachinePrecision]), $MachinePrecision]

\frac{x + y}{y + 1}
↓
\frac{y + x}{y + 1}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

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

  2. Applied egg-rr0.1

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

  3. Applied egg-rr0.0

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

  4. Final simplification0.0

    \[\leadsto \frac{y + x}{y + 1} \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y)
  :name "Data.Colour.SRGB:invTransferFunction from colour-2.3.3"
  :precision binary64
  (/ (+ x y) (+ y 1.0)))