Average Error: 0.0 → 0.0
Time: 1.1s
Precision: binary64
\[x \cdot y - x \]
↓
\[x \cdot y - x \]
(FPCore (x y) :precision binary64 (- (* x y) x))
↓
(FPCore (x y) :precision binary64 (- (* x y) x))
double code(double x, double y) {
	return (x * y) - x;
}
↓
double code(double x, double y) {
	return (x * y) - x;
}

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

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

def code(x, y):
	return (x * y) - x
↓
def code(x, y):
	return (x * y) - x

function code(x, y)
	return Float64(Float64(x * y) - x)
end
↓
function code(x, y)
	return Float64(Float64(x * y) - x)
end

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

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

x \cdot y - x
↓
x \cdot y - x

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

    \[x \cdot y - x \]

  2. Final simplification0.0

    \[\leadsto x \cdot y - x \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y)
  :name "Data.Histogram.Bin.LogBinD:$cbinSizeN from histogram-fill-0.8.4.1"
  :precision binary64
  (- (* x y) x))