def handle_refund()

in simulation/decai/simulation/contract/incentive/stakeable.py [0:0]

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

    def handle_refund(self, submitter: str, stored_data: StoredData,
                      claimable_amount: float, claimed_by_submitter: bool,
                      prediction) -> float:
        result = claimable_amount

        # Do not need to check submitter == stored_data.sender because DataHandler already did it.

        if claimed_by_submitter:
            raise RejectException("Deposit already claimed by submitter.")
        if result <= 0:
            raise RejectException("There is no reward left to claim.")
        current_time_s = int(self._time())
        if current_time_s - stored_data.time <= self.refund_time_s:
            raise RejectException("Not enough time has passed.")
        if callable(prediction):
            prediction = prediction()
        if prediction != stored_data.classification:
            raise RejectException("The model doesn't agree with your contribution.")

        self.num_good_data_per_user[submitter] += 1
        self.total_num_good_data += 1

        return result