class_docstr: Defines the ExplainerManager for explaining a text-based model.
class_docstr_tok: ["Defines","the","ExplainerManager","for","explaining","a","text-based","model","."]
docstr: List information about the ExplainerManager.
  
  :return: A dictionary of properties.
  :rtype: dict
docstr_tok: ["List","information","about","the","ExplainerManager",".",":","return",":","A","dictionary","of","properties",".",":","rtype",":","dict"]
code: def list(self):
      """List information about the ExplainerManager.
  
      :return: A dictionary of properties.
      :rtype: dict
      """
      props = {ListProperties.MANAGER_TYPE: self.name}
      if self._explanation:
          props[Keys.IS_COMPUTED] = True
      else:
          props[Keys.IS_COMPUTED] = False
      return props
  
imports: import json
  import pickle
  import warnings
  from pathlib import Path
  from typing import Any, List, Optional
  import numpy
  import pandas
  import shap
  from raiutils.data_processing import convert_to_list
  from responsibleai._interfaces import FeatureImportance, ModelExplanationData, PrecomputedExplanations, TextFeatureImportance
  from responsibleai._internal.constants import ExplainerManagerKeys
  from responsibleai._internal.constants import ListProperties, ManagerNames, Metadata
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.exceptions import UserConfigValidationException
  from responsibleai.managers.base_manager import BaseManager
  from responsibleai_text.common.constants import ModelTask, QuestionAnsweringFields, Tokens
  from responsibleai_text.utils.question_answering import QAPredictor
label_desc: Use image node_id 5 for calling the ExplainerManager obj's underlying member method code with example usage: obj.list() and returns: props