Confused by lstm_cond_layer._step() function's variable names

[happygds]

I was confused by lstm_cond_layer._step() function in file model_attention.py line 296:

   def _step(m_, x_, # sequences
             h_, c_, a_, ct_, # outputs_info
             pctx_, ctx_, Wd_att, U_att, c_att, W_sel, b_sel, U, Wc, # non_sequences

From the lambda function _step0 you defined and the codes in _step function, I see that ct_ means averaged context produced by attention mechanism and ctx_ means context. However, this function returned ctx_ at line 337 as follows:

        rval = [h, c, alpha, ctx_, pstate_, pctx_, i, f, o, preact, alpha_pre]+pctx_list
        return rval

I suggest you to make it clear. Thanks!