class_docstr: Defines the DataBalanceManager for finding data balance measures
  on a dataset.
class_docstr_tok: ["Defines","the","DataBalanceManager","for","finding","data","balance","measures","on","a","dataset","."]
docstr: List information about the data balance manager.
  
  :return: Information about the data balance manager.
  :rtype: Dict[str, Any]
docstr_tok: ["List","information","about","the","data","balance","manager",".",":","return",":","Information","about","the","data","balance","manager",".",":","rtype",":","Dict","[","str",",","Any","]"]
code: def list(self):
      """
      List information about the data balance manager.
  
      :return: Information about the data balance manager.
      :rtype: Dict[str, Any]
      """
      props = {
          ListProperties.MANAGER_TYPE: self.name,
          Keys.IS_ADDED: self._is_added,
          Keys.TASK_TYPE: self._task_type,
          Keys.COLS_OF_INTEREST: self._cols_of_interest,
          Keys.TARGET_COLUMN: self._target_column,
          Keys.CLASSES: self._classes,
      }
  
      return props
  
imports: import json
  import warnings
  from pathlib import Path
  from typing import Dict, List
  import numpy
  import pandas
  from responsibleai._interfaces import TaskType
  from responsibleai._internal.constants import DataBalanceManagerKeys
  from responsibleai._internal.constants import FileFormats, ListProperties, ManagerNames
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.databalanceanalysis import AggregateBalanceMeasures, DistributionBalanceMeasures, FeatureBalanceMeasures
  from responsibleai.databalanceanalysis.data_balance_utils import prepare_df, transform_measures_to_dict
  from responsibleai.managers.base_manager import BaseManager
label_desc: Use image node_id 7 for calling the DataBalanceManager obj's underlying member method code with example usage: obj.list() and returns: props