human
Solve the following python programming problem given the following code:
@ lower ('np.random.binomial', types.Integer, types.Float) 
def binomial_impl(context, builder, sig, args) : 
    intty = sig.return_type 
    _random = np.random.random 
    def binomial_impl(n, p) : 
        "
        Binomial distribution.  Numpy's variant of the BINV algorithm
        is used.
        (Numpy uses BTPE for n*p >= 30, though)
        " 
        if (n < 0) : 
            raise ValueError ('binomial(): n <= 0') 
if (not (0.0 <= p <= 1.0)) : 
            raise ValueError ('binomial(): p outside of [0, 1]') 
if (p == 0.0) : 
            return 0 
if (p == 1.0) : 
            return n 
flipped = (p > 0.5) 
        if flipped : 
            p = (1.0 - p) 
q = (1.0 - p) 
        niters = 1 
        qn = (q ** n) 
        while (qn <= 1e-308) : 
            niters <<= 2 
            n >>= 2 
            qn = (q ** n) 
            assert (n > 0) 
np = (n * p) 
        bound = min (n, (np + (10.0 * math.sqrt (((np * q) + 1))))) 
        finished = False 
        total = 0 
        while (niters > 0) : 
            X = 0 
            U = _random () 
            px = qn 
            while (X <= bound) : 
                if (U <= px) : 
                    total += ((n - X) if flipped else X) 
                    niters -= 1 
                    break 
U -= px 
                X += 1 
                px = (((((n - X) + 1) * p) * px) / (X * q)) 
return total 
res = context.compile_internal (builder, binomial_impl, sig, args) 
    return impl_ret_untracked (context, sig, sig.return_type, res) 

    
    

    Fix the buggy line: return impl_ret_untracked (context, sig, sig.return_type, res)
assistant
#Here is Python code to fix the buggy line: return impl_ret_untracked (context, sig, sig.

return impl_ret_untracked (context, builder, sig.return_type, res)