sourcecode/scoring/mf_base_scorer.py [1220:1231]:
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      return self._return_empty_final_scores()

    with self.time_block("Postprocess output"):
      # Only some subclasses do any postprocessing.
      # E.g. topic models add confidence bit, group models prune according to authorship filter.
      noteScores, userScores = self._postprocess_output(
        noteScores,
        userScores,
        scoringArgs.ratings,
        scoringArgs.noteStatusHistory,
        scoringArgs.userEnrollment,
      )
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sourcecode/scoring/scorer.py [415:426]:
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      return self._return_empty_final_scores()

    with self.time_block("Postprocess output"):
      # Only some subclasses do any postprocessing.
      # E.g. topic models add confidence bit, group models prune according to authorship filter.
      noteScores, userScores = self._postprocess_output(
        noteScores,
        userScores,
        scoringArgs.ratings,
        scoringArgs.noteStatusHistory,
        scoringArgs.userEnrollment,
      )
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