def score_one()

in src/lighteval/metrics/imports/summac.py [0:0]

• 22 lines of code
• 9 McCabe index (conditional complexity)

    def score_one(self, original, generated):
        image = self.imager.build_image(original, generated)

        ent_scores = np.max(image[0], axis=0)
        co_scores = np.max(image[1], axis=0)
        if self.op1 == "mean":
            ent_scores = np.mean(image[0], axis=0)
            co_scores = np.mean(image[1], axis=0)
        elif self.op1 == "min":
            ent_scores = np.min(image[0], axis=0)
            co_scores = np.min(image[1], axis=0)

        if self.use_ent and self.use_con:
            scores = ent_scores - co_scores
        elif self.use_ent:
            scores = ent_scores
        elif self.use_con:
            scores = 1.0 - co_scores

        final_score = np.mean(scores)
        if self.op2 == "min":
            final_score = np.min(scores)
        elif self.op2 == "max":
            final_score = np.max(scores)

        return {"score": final_score, "image": image}