def score_function_all_class(self, x, W):

        score_list = {}
        ovo_vote = []

        for class_item in self.class_list:
            score = self.score_function(x, W[class_item])
            if score is 1:
                score_list[class_item] = class_item[0]
            else:
                score_list[class_item] = class_item[1]
            ovo_vote.append(score_list[class_item])

        return max(set(ovo_vote), key=ovo_vote.count)
dataset/ETHPy150Open fukuball/fuku-ml/FukuML/LinearRegression.py/MultiClassifier.score_function_all_class/operator `==` -> `is`