human
Solve the following python programming problem given the following code:
def _bgrad(self, inputs, ograds) : 
    prev_setting = theano.config.compute_test_value 
    try : 
        theano.config.compute_test_value = 'off' 
        def as_scalar(t) : 
            if isinstance (t.type, (NullType, DisconnectedType)) : 
                return t 
return get_scalar_type (t.type.dtype) () 
scalar_inputs = list (map (as_scalar, inputs)) 
        scalar_ograds = list (map (as_scalar, ograds)) 
        scalar_igrads = self.scalar_op.grad (scalar_inputs, scalar_ograds) 
        for igrad in scalar_igrads : 
            assert (igrad is not None), self.scalar_op 
finally : 
        theano.config.compute_test_value = prev_setting 
if (not isinstance (nd, (list, tuple))) : 
        raise TypeError (('%s.grad returned %s instead of list or tuple' % (str (self.scalar_op), str (type (scalar_igrads))))) 
nd = len (inputs [0].type.broadcastable) 
    def transform(r) : 
        if isinstance (r.type, (NullType, DisconnectedType)) : 
            return r 
if (r in scalar_inputs) : 
            return inputs [scalar_inputs.index (r)] 
if (r in scalar_ograds) : 
            return ograds [scalar_ograds.index (r)] 
node = r.owner 
        if (node is None) : 
            res = theano.tensor.constant (numpy.asarray (r.data), dtype = r.type.dtype) 
            return DimShuffle ((), (['x'] * nd), inplace = False) (res) 
new_r = Elemwise (node.op, { 
            
}) (* [transform (ipt) for ipt in node.inputs]) 
        return new_r 
ret = [] 
    for (scalar_igrad, ipt) in izip (scalar_igrads, inputs) : 
        if (scalar_igrad is None) : 
            ret.append (None) 
            continue 
ret.append (transform (scalar_igrad)) 
return ret 

    
    

    Fix the buggy line: if (not isinstance (nd, (list, tuple))) :
assistant
#Here is Python code to fix the buggy line: if (not isinstance (nd, (list, tuple))) :
.

if (not isinstance (scalar_igrads, (list, tuple))) :