class_docstr: Maps entities to their synonyms if they appear in the training data.
class_docstr_tok: ["Maps","entities","to","their","synonyms","if","they","appear","in","the","training","data","."]
docstr: Modifies entities attached to message to resolve synonyms.
  
  Args:
      messages: List containing the latest user message
  
  Returns:
      List containing the latest user message with entities resolved to
      synonyms if there is a match.
docstr_tok: ["Modifies","entities","attached","to","message","to","resolve","synonyms",".","Args",":","messages",":","List","containing","the","latest","user","message","Returns",":","List","containing","the","latest","user","message","with","entities","resolved","to","synonyms","if","there","is","a","match","."]
code: def process(self, messages: List[Message]) -> List[Message]:
      """Modifies entities attached to message to resolve synonyms.
  
      Args:
          messages: List containing the latest user message
  
      Returns:
          List containing the latest user message with entities resolved to
          synonyms if there is a match.
      """
      for message in messages:
          updated_entities = message.get(ENTITIES, [])[:]
          self.replace_synonyms(updated_entities)
          message.set(ENTITIES, updated_entities, add_to_output=True)
  
      return messages
  
imports: from __future__ import annotations
  import os
  from typing import Any, Dict, List, Optional, Text
  import logging
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.shared.constants import DOCS_URL_TRAINING_DATA
  from rasa.shared.nlu.constants import ENTITIES, TEXT
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.utils import write_json_to_file
  from rasa.nlu.extractors.extractor import EntityExtractorMixin
  import rasa.utils.io
  import rasa.shared.utils.io
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
label_desc: Use image node_id 4 for calling the EntitySynonymMapper obj's underlying member method code with example usage: obj.process(messages) and returns: messages