def generatedEnergy(self, reservatoryVolume: float, turbinedFlow: float):
        flowThatGenerateEnergy = limit(turbinedFlow, self.__minTurbineFlow,
                                       self.__maxTurbineFlow)

        return (self.rho() * (self.uprightHeight(reservatoryVolume) -
                              self.downstreamHeight(turbinedFlow)) *
                flowThatGenerateEnergy)
    def solveInfeasibility(self, k: int, state: np.array, FMap: dict):
        if state < self.minReservatoryVolume(
        ) or state > self.maxReservatoryVolume():
            return (limit(state, self.minReservatoryVolume(),
                          self.maxReservatoryVolume()), self.inf)

        else:
            sampledState = nearestSample(state, self.minReservatoryVolume(),
                                         self.maxReservatoryVolume(),
                                         self.__stateSampling)
            return (sampledState, FMap[(k, sampledState)])
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    def generatedEnergy(self, reservatoryVolume: float, turbinedFlow: float):
        flowThatGenerateEnergy = limit(turbinedFlow, self.__minTurbineFlow,
                                       self.__maxTurbineFlow)

        _generatedEnergy = min(
            self.maximumProductionCapacity(),
            self.rho() * (self.uprightHeight(reservatoryVolume) -
                          self.downstreamHeight(turbinedFlow)) *
            flowThatGenerateEnergy)

        return _generatedEnergy
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    def solveInfeasibility(self, k: int, state: np.array):
        """[summary]

        Args:
            k (int): [description]
            state (np.array): [description]
            FMap (dict): [description]

        Returns:
            [type]: (next state, isInfeasible)
        """
        isInfeasible = state < self.__minReservatoryVolume or state > self.__maxReservatoryVolume

        if isInfeasible:
            feasibleState = limit(state, self.__minReservatoryVolume,
                                  self.__maxReservatoryVolume)

        else:
            feasibleState = nearestSample(state, self.__minReservatoryVolume,
                                          self.__maxReservatoryVolume,
                                          self.__stateSampling)

        return (feasibleState, isInfeasible)
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    def uprightHeight(self, reservatoryVolume: float) -> float:
        limitedVolume = limit(reservatoryVolume, self.__minReservatoryVolume,
                              self.__maxReservatoryVolume)

        return 355.53 + (0.0036268 *
                         limitedVolume) - (0.10090e-7) * limitedVolume**2
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    def uprightHeight(self, reservatoryVolume: float) -> float:
        limitedVolume = limit(reservatoryVolume, self.__minReservatoryVolume,
                              self.__maxReservatoryVolume)

        return 303.04 + (0.0015519 *
                         limitedVolume) - (0.17377e-7) * limitedVolume**2
    def uprightHeight(self, reservatoryVolume: float) -> float:
        limitedVolume = limit(reservatoryVolume, self.__minReservatoryVolume,
                              self.__maxReservatoryVolume)

        return self.__uprightPolinomy(limitedVolume)