code: def describe_support_rules(self):
      self._check_is_fitted()
      if self._overlap_only:
          return "No Support Rules Fitted (overlap_only=True).\n"
      else:
          X = self.X
          s_est = self.RS_support_estimator
          return self._describe_rules(
              s_est, X, estimator_name="SUPPORT"
          )
  
imports: from dataclasses import asdict, dataclass
  from typing import Dict, List, Optional, Union
  import numpy
  import pandas
  from sklearn.base import BaseEstimator
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import GridSearchCV, cross_val_predict
  from dowhy.causal_refuters.overrule.ruleset import BCSRulesetEstimator
  from dowhy.causal_refuters.overrule.utils import fatom
label_desc: Use image node_id 8 for calling the OverruleAnalyzer obj's underlying member method code with example usage: obj.describe_support_rules() and returns: str, self