text: import logging
  
  from pandas import DataFrame
  
  from .abstract import AbstractFeatureGenerator
  
  logger = logging.getLogger(__name__)
  
  
  class IdentityFeatureGenerator(AbstractFeatureGenerator):
      """IdentityFeatureGenerator simply passes the data along without alterations."""
      def _fit_transform(self, X: DataFrame, **kwargs) -> (DataFrame, dict):
          X_out = self._transform(X)
          return X_out, self.feature_metadata_in.type_group_map_special
  
      def _transform(self, X: DataFrame) -> DataFrame:
          return X
  
      @staticmethod
      def get_default_infer_features_in_args() -> dict:
          return dict()
  
      def _more_tags(self):
          return {'feature_interactions': False}
  