code: def _read(self):
      self.words = [
          self.model.index_to_key[i]
          for i in range(len(self.model.index_to_key))
      ]
      self.emb_size = self.model[
          self.model.key_to_index[self.model.index_to_key[0]]
      ]
      self.vocab_size = len(self.words)
  
file_path: nlpaug/nlpaug/model/word_embs/word_embeddings.py
imports: import nlpaug.util.math.normalization
label_desc: Use image node_id 3 for calling the WordEmbeddings obj's underlying member method code with example usage: obj._read() without return types