dowhy/causal_estimators/distance_matching_estimator.py [109:118]:
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                for i in range(numtreatedunits):
                    treated_outcome = treated.iloc[i][self._outcome_name].item()
                    control_outcome = np.mean(control.iloc[indices[i]][self._outcome_name].values)
                    att += treated_outcome - control_outcome

                att /= numtreatedunits
                if self._target_units == "att":
                    est = att
                elif self._target_units == "ate":
                    est = att*numtreatedunits
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dowhy/causal_estimators/distance_matching_estimator.py [145:156]:
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                    for i in range(numtreatedunits):
                        treated_outcome = treated.iloc[i][self._outcome_name].item()
                        control_outcome = np.mean(control.iloc[indices[i]][self._outcome_name].values)
                        att += treated_outcome - control_outcome
                        #self.matched_indices_att[treated_df_index[i]] = control.iloc[indices[i]].index.tolist()

                att /= numtreatedunits

                if self._target_units == "att":
                    est = att
                elif self._target_units == "ate":
                    est = att*numtreatedunits
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