def get_next_add_data_cost()

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

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

    def get_next_add_data_cost(self, data, classification) -> float:
        """
        :param data: A single sample of training data for the model.
        :param classification: The label for `data`.
        :return: The current cost to update a model with a specific sample of training data.
        """
        current_time_s = int(self._time())
        # TODO Limit how many times a data point can be added if the model already classifies right for it?
        # TODO Add cost to flip all data?
        # TODO Add discount if already submitted good data?
        # Convert to integers like in Solidity.
        time_since_last_update_s = int((current_time_s - self._last_update_time_s))
        if time_since_last_update_s <= 0:
            raise RejectException("Not enough time has passed since the last update.")
        # We really want to think about the time in hours
        # (divide by 3600 but this is in the square root of the denominator so we multiply by sqrt(3600)).
        # Equivalent to: cost = self.cost_weight / int(math.sqrt(time_since_last_update_s * 3600))
        result = self.cost_weight * 60 / int(math.sqrt(time_since_last_update_s))
        result = int(result)
        # Make sure there is a minimum cost to adding data.
        if result < 1:
            result = 1
        return result