class_docstr: The storage structure of LDA model's inference result.
      
class_docstr_tok: ["The","storage","structure","of","LDA","model","'s","inference","result","."]
docstr: Add new word to current LDADoc.
  Arg:
      token: Token class object.
docstr_tok: ["Add","new","word","to","current","LDADoc",".","Arg",":","token",":","Token","class","object","."]
code: def add_token(self, token):
      """Add new word to current LDADoc.
      Arg:
          token: Token class object.
      """
      assert token.topic >= 0, "Topic %d out of range!" % token.topic
      assert token.topic < self._num_topics, (
          "Topic %d out of range!" % token.topic
      )
      self._tokens.append(token)
      self._topic_sum[token.topic] += 1
  
imports: import numpy
label_desc: Use image node_id 3 for calling the LDADoc obj's underlying member method code with example usage: obj.add_token(token) without return types