?

Average Accuracy: 53.9% → 100.0%
Time: 1.6s
Precision: binary64

?

\[\left(1 + x\right) - x \]
\[1 \]
(FPCore (x) :precision binary64 (- (+ 1.0 x) x))
(FPCore (x) :precision binary64 1.0)
double code(double x) {
	return (1.0 + x) - x;
}
double code(double x) {
	return 1.0;
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = (1.0d0 + x) - x
end function
real(8) function code(x)
    real(8), intent (in) :: x
    code = 1.0d0
end function
public static double code(double x) {
	return (1.0 + x) - x;
}
public static double code(double x) {
	return 1.0;
}
def code(x):
	return (1.0 + x) - x
def code(x):
	return 1.0
function code(x)
	return Float64(Float64(1.0 + x) - x)
end
function code(x)
	return 1.0
end
function tmp = code(x)
	tmp = (1.0 + x) - x;
end
function tmp = code(x)
	tmp = 1.0;
end
code[x_] := N[(N[(1.0 + x), $MachinePrecision] - x), $MachinePrecision]
code[x_] := 1.0
\left(1 + x\right) - x
1

Error?

Try it out?

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation?

  1. Initial program 53.9%

    \[\left(1 + x\right) - x \]
  2. Simplified100.0%

    \[\leadsto \color{blue}{1} \]
    Proof

Reproduce?

herbie shell --seed 2023151 
(FPCore (x)
  :name "Cancel like terms"
  :precision binary64
  (- (+ 1.0 x) x))