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: Replace any entities which match a synonym with the synonymous entity.
docstr_tok: ["Replace","any","entities","which","match","a","synonym","with","the","synonymous","entity","."]
code: def replace_synonyms(self, entities: List[Dict[Text, Any]]) -> None:
      """Replace any entities which match a synonym with the synonymous entity."""
      for entity in entities:
          # need to wrap in `str` to handle e.g. entity values of type int
          entity_value = str(entity["value"])
          if entity_value.lower() in self.synonyms:
              entity["value"] = self.synonyms[entity_value.lower()]
              self.add_processor_name(entity)
  
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 7 for calling the EntitySynonymMapper obj's underlying member method code with example usage: obj.replace_synonyms(entities) without return types