code: def _remove_feature_names(self, feature_names, indices=False) -> List:
      # For transformers that remove features from data, i..e, selectors.
      if hasattr(self, "features_to_drop_"):
          if indices is True:
              mask = self.get_support(indices=True)
              feature_names = [feature_names[i] for i in mask]
          else:
              feature_names = [
                  f
                  for f in feature_names
                  if f not in self.features_to_drop_
              ]
      return feature_names
  
file_path: feature_engine/feature_engine/_base_transformers/mixins.py
imports: from typing import Dict, List, Union
  import pandas
  from numpy import ndarray
  from numpy.typing import ArrayLike
  from sklearn.utils.validation import check_is_fitted
  from feature_engine._variable_handling.variable_type_selection import _find_or_check_numerical_variables
  from feature_engine.dataframe_checks import _check_contains_inf, _check_contains_na, check_X
label_desc: Use image node_id 3 for calling the GetFeatureNamesOutMixin obj's underlying member method code with example usage: obj._remove_feature_names(feature_names, indices) and returns: feature_names