class_docstr: A class used to verify usage of intents and utterances.
class_docstr_tok: ["A","class","used","to","verify","usage","of","intents","and","utterances","."]
docstr: Create an instance from the domain, nlu and story files.
docstr_tok: ["Create","an","instance","from","the","domain",",","nlu","and","story","files","."]
code: def from_importer(cls, importer: TrainingDataImporter) -> "Validator":
      """Create an instance from the domain, nlu and story files."""
      domain = importer.get_domain()
      story_graph = importer.get_stories()
      intents = importer.get_nlu_data()
      config = importer.get_config()
  
      return cls(domain, intents, story_graph, config)
  
imports: import logging
  from collections import defaultdict
  from typing import Set, Text, Optional, Dict, Any, List
  import rasa.core.training.story_conflict
  import rasa.shared.nlu.constants
  from rasa.shared.constants import ASSISTANT_ID_DEFAULT_VALUE, ASSISTANT_ID_KEY, CONFIG_MANDATORY_KEYS, DOCS_URL_DOMAINS, DOCS_URL_FORMS, UTTER_PREFIX, DOCS_URL_ACTIONS, REQUIRED_SLOTS_KEY
  from rasa.shared.core import constants
  from rasa.shared.core.constants import MAPPING_CONDITIONS, ACTIVE_LOOP
  from rasa.shared.core.events import ActionExecuted, ActiveLoop
  from rasa.shared.core.events import UserUttered
  from rasa.shared.core.domain import Domain
  from rasa.shared.core.generator import TrainingDataGenerator
  from rasa.shared.core.constants import SlotMappingType, MAPPING_TYPE
  from rasa.shared.core.training_data.structures import StoryGraph
  from rasa.shared.importers.importer import TrainingDataImporter
  from rasa.shared.nlu.training_data.training_data import TrainingData
  import rasa.shared.utils.io
label_desc: Use image node_id 2 for calling the Validator obj's underlying member method code with example usage: obj.from_importer(cls, importer) and returns: cls