def cal_f1()

in src/pixparse/utils/json_utils.py [0:0]

• 12 lines of code
• 4 McCabe index (conditional complexity)

    def cal_f1(self, preds: List[dict], answers: List[dict]):
        """
        Calculate global F1 accuracy score (field-level, micro-averaged) by counting all true positives, false negatives and false positives
        """
        total_tp, total_fn_or_fp = 0, 0
        for pred, answer in zip(preds, answers):
            pred, answer = self.flatten(self.normalize_dict(pred)), self.flatten(self.normalize_dict(answer))
            for field in pred:
                if field in answer:
                    total_tp += 1
                    answer.remove(field)
                else:
                    total_fn_or_fp += 1
            total_fn_or_fp += len(answer)
        return total_tp / (total_tp + total_fn_or_fp / 2)