code: def final(self, state):
      (
          clm_state,
          wlm_state,
          wlm_logprobs,
          node,
          log_y,
          clm_logprob,
      ) = state
      if (
          node is not None and node[1] >= 0
      ):  # check if the node is word end
          w = self.xp.full(1, node[1], "i")
      else:  # this node is not a word end, which means <unk>
          w = self.xp_word_unk
      wlm_state, z_wlm = self.wordlm(wlm_state, w)
      return F.log_softmax(z_wlm).data[:, self.word_eos]
  
file_path: espnet/espnet/lm/chainer_backend/extlm.py
imports: import math
  import chainer
  import chainer.functions
  from espnet.lm.lm_utils import make_lexical_tree
label_desc: Use image node_id 3 for calling the MultiLevelLM obj's underlying member method code with example usage: obj.final(state) and returns: F