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","."]
code: def _persist(self) -> None:
      if self.synonyms:
          with self._model_storage.write_to(self._resource) as storage:
              entity_synonyms_file = (
                  storage / EntitySynonymMapper.SYNONYM_FILENAME
              )
  
              write_json_to_file(
                  entity_synonyms_file,
                  self.synonyms,
                  separators=(",", ": "),
              )
  
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 5 for calling the EntitySynonymMapper obj's underlying member method code with example usage: obj._persist() without return types