human
Solve the following python programming problem given the following code:
@ register_opt ('scan', 'fast_compile') 
@ op_lifter ([scan_op.Scan]) 
def local_scan_to_gpua(node, context_name) : 
    info = copy.deepcopy (node.op.info) 
    if info.get ('gpua', False) : 
        return 
info ['gpua'] = True 
    nw_ins = [node.inputs [0]] 
    e = (((((1 + node.op.n_seqs) + node.op.n_mit_mot) + node.op.n_mit_sot) + node.op.n_sit_sot) + node.op.n_shared_outs) 
    nw_ins += [safe_to_gpu (tmp_out, context_name) for x in node.inputs [1 : e]] 
    b = e 
    e = (e + node.op.n_nit_sot) 
    nw_ins += node.inputs [b : e] 
    nw_ins += [safe_to_gpu (x, context_name) for x in node.inputs [e :]] 
    scan_ins = [tensor_to_gpu (x, context_name) for x in node.op.inputs] 
    if node.op.info ['as_while'] : 
        scan_outs = [safe_to_gpu (x, context_name) for x in node.op.outputs [: (- 1)]] 
        scan_outs += [node.op.outputs [(- 1)]] 
else : 
        scan_outs = [safe_to_gpu (x, context_name) for x in node.op.outputs] 
scan_outs = scan_utils.clone (scan_outs, replace = list (zip (node.op.inputs, (safe_to_cpu (x) for x in scan_ins)))) 
    (tmp_in, tmp_out) = gpu_reconstruct_graph (scan_ins, scan_outs) 
    local_fgraph = gof.FunctionGraph (tmp_in, tmp_out, clone = True) 
    _cmodule_key = gof.CLinker ().cmodule_key_ (local_fgraph, []) 
    info ['gpu_hash'] = hash (_cmodule_key) 
    def typebuild(dtype, broadcastable, context_name = context_name) : 
        return GpuArrayType (dtype = dtype, broadcastable = broadcastable, context_name = context_name) 
nw_op = scan_op.Scan (scan_ins, scan_outs, info, typeConstructor = typebuild).make_node (* nw_ins) 
    return nw_op.outputs 

    
    

    Fix the buggy line: nw_ins += [safe_to_gpu (tmp_out, context_name) for x in node.inputs [1 : e]]
assistant
#Here is Python program to fix the buggy line: nw_ins += [safe_to_gpu (tmp_out, context_name) for x in node.

nw_ins += [safe_to_gpu (x, context_name) for x in node.inputs [1 : e]]