?

Average Accuracy: 100.0% → 100.0%
Time: 1.6s
Precision: binary64
Cost: 320

?

\[x + \frac{y}{500} \]
\[x + \frac{y}{500} \]
(FPCore (x y) :precision binary64 (+ x (/ y 500.0)))
(FPCore (x y) :precision binary64 (+ x (/ y 500.0)))
double code(double x, double y) {
	return x + (y / 500.0);
}
double code(double x, double y) {
	return x + (y / 500.0);
}
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x + (y / 500.0d0)
end function
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x + (y / 500.0d0)
end function
public static double code(double x, double y) {
	return x + (y / 500.0);
}
public static double code(double x, double y) {
	return x + (y / 500.0);
}
def code(x, y):
	return x + (y / 500.0)
def code(x, y):
	return x + (y / 500.0)
function code(x, y)
	return Float64(x + Float64(y / 500.0))
end
function code(x, y)
	return Float64(x + Float64(y / 500.0))
end
function tmp = code(x, y)
	tmp = x + (y / 500.0);
end
function tmp = code(x, y)
	tmp = x + (y / 500.0);
end
code[x_, y_] := N[(x + N[(y / 500.0), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(x + N[(y / 500.0), $MachinePrecision]), $MachinePrecision]
x + \frac{y}{500}
x + \frac{y}{500}

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 100.0%

    \[x + \frac{y}{500} \]
  2. Final simplification100.0%

    \[\leadsto x + \frac{y}{500} \]

Alternatives

Alternative 1
Accuracy74.8%
Cost720
\[\begin{array}{l} \mathbf{if}\;x \leq -1.8 \cdot 10^{+43}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq -330:\\ \;\;\;\;y \cdot 0.002\\ \mathbf{elif}\;x \leq -6.4 \cdot 10^{-25}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 2.05 \cdot 10^{+17}:\\ \;\;\;\;y \cdot 0.002\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 2
Accuracy51.2%
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 2023129 
(FPCore (x y)
  :name "Data.Colour.CIE:cieLAB from colour-2.3.3, C"
  :precision binary64
  (+ x (/ y 500.0)))