def get_weighted_score()

in src/epam/auto_llm_eval/evaluator.py [0:0]

• 6 lines of code
• 2 McCabe index (conditional complexity)

    def get_weighted_score(self) -> float:
        """
        Return the weighted score based on the probabilities.

        Calculates a weighted average of scores, where each score is weighted
        by its probability.

        Returns:
            float: The weighted score, rounded to two decimal places.
        """
        weighted_score: float = sum(
            [score * prob for (score, prob) in self.probabilities]
        )
        weighted_score = np.round(weighted_score, 2)
        return weighted_score