Average Error: 0 → 0
Time: 1.6s
Precision: binary64
\[\frac{1}{2} \cdot \left(x + y\right) \]
↓
\[0.5 \cdot \left(x + y\right) \]
(FPCore (x y) :precision binary64 (* (/ 1.0 2.0) (+ x y)))
↓
(FPCore (x y) :precision binary64 (* 0.5 (+ x y)))
double code(double x, double y) {
	return (1.0 / 2.0) * (x + y);
}
↓
double code(double x, double y) {
	return 0.5 * (x + y);
}

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (1.0d0 / 2.0d0) * (x + y)
end function
↓
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = 0.5d0 * (x + y)
end function

public static double code(double x, double y) {
	return (1.0 / 2.0) * (x + y);
}
↓
public static double code(double x, double y) {
	return 0.5 * (x + y);
}

def code(x, y):
	return (1.0 / 2.0) * (x + y)
↓
def code(x, y):
	return 0.5 * (x + y)

function code(x, y)
	return Float64(Float64(1.0 / 2.0) * Float64(x + y))
end
↓
function code(x, y)
	return Float64(0.5 * Float64(x + y))
end

function tmp = code(x, y)
	tmp = (1.0 / 2.0) * (x + y);
end
↓
function tmp = code(x, y)
	tmp = 0.5 * (x + y);
end

code[x_, y_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[(x + y), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(0.5 * N[(x + y), $MachinePrecision]), $MachinePrecision]

\frac{1}{2} \cdot \left(x + y\right)
↓
0.5 \cdot \left(x + y\right)

Error

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0
Target0
Herbie0
\[\frac{x + y}{2} \]

Derivation

  1. Initial program 0

    \[\frac{1}{2} \cdot \left(x + y\right) \]

  2. Simplified0

    \[\leadsto \color{blue}{0.5 \cdot \left(x + y\right)} \]

  3. Final simplification0

    \[\leadsto 0.5 \cdot \left(x + y\right) \]

Reproduce

herbie shell --seed 2022185 
(FPCore (x y)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, G"
  :precision binary64

  :herbie-target
  (/ (+ x y) 2.0)

  (* (/ 1.0 2.0) (+ x y)))