human
Solve the following python programming problem given the following code:
def construct_loss_function(m, loss, f_scale) : 
    if (loss == 'linear') : 
        return None 
if (not callable (loss)) : 
        loss = IMPLEMENTED_LOSSES [loss] 
        rho = np.empty ((3, loss_function)) 
        def loss_function(f, cost_only = False) : 
            z = ((f / f_scale) ** 2) 
            loss (z, rho, cost_only = cost_only) 
            if cost_only : 
                return ((0.5 * (f_scale ** 2)) * np.sum (rho [0])) 
rho [0] *= (f_scale ** 2) 
            rho [2] /= (f_scale ** 2) 
            return rho 
else : 
        def loss_function(f, cost_only = False) : 
            z = ((f / f_scale) ** 2) 
            rho = loss (z) 
            if cost_only : 
                return ((0.5 * (f_scale ** 2)) * np.sum (rho [0])) 
rho [0] *= (f_scale ** 2) 
            rho [2] /= (f_scale ** 2) 
            return rho 
return loss_function 

    
    

    Fix the buggy line: rho = np.empty ((3, loss_function))
assistant
#Here is Python code to fix the buggy line: rho = np.

rho = np.empty ((3, m))