human
Solve the following python programming problem given the following code:
@ overload (np.where) 
def where(cond, x, y) : 
    '
    Implement np.where().
    ' 
    if isinstance (cond, types.Array) : 
        if all (((ty.layout == 'C') for ty in (cond, x, y))) : 
            def where_impl(cond, x, y) : 
                '
                Fast implementation for C-contiguous arrays
                ' 
                shape = cond.shape 
                if ((x.shape != shape) or (y.shape != shape)) : 
                    raise ValueError ('all inputs should have the same shape') 
res = np.empty_like (x) 
                cf = cond.flat 
                xf = x.flat 
                yf = y.flat 
                rf = res.flat 
                for i in range (cond.size) : 
                    rf [i] = (xf [i] if cf [i] else yf [i]) 
return res 
else : 
            def where_impl(cond, x, y) : 
                '
                Generic implementation for other arrays
                ' 
                shape = cond.shape 
                if ((x.shape != shape) or (y.shape != shape)) : 
                    raise ValueError ('all inputs should have the same shape') 
res = np.empty_like (x) 
                for (idx, c) in np.ndenumerate (cond) : 
                    res [idx] = (x [idx] if c else y [idx]) 
return res 
else : 
        def where_impl(cond, x, y) : 
            '
            Scalar where() => return a 0-dim array
            ' 
            scal = (x if cond else y) 
            return np.full_like (scal, scal) 
return cond 

    
    

    Fix the buggy line: return cond
assistant
#Here is Python code to fix the buggy line: return cond
.

return def where_impl(