Average Error: 0.0 → 0.0
Time: 1.2s
Precision: binary64
\[x + \frac{y}{500} \]
↓
\[x + \frac{y}{500} \]
(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

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

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

  2. Final simplification0.0

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

Reproduce

herbie shell --seed 2022150 
(FPCore (x y)
  :name "Data.Colour.CIE:cieLAB from colour-2.3.3, C"
  :precision binary64
  (+ x (/ y 500.0)))