Method __generateDrain

eos/saveddata/fit.py:1447–1489

(self)

        return self.__extraDrains.__iter__()

    def __generateDrain(self):
        drains = []
        capUsed = 0
        capAdded = 0
        for mod in self.activeModulesIter():
            if (mod.getModifiedItemAttr("capacitorNeed") or 0) != 0:
                cycleTime = mod.rawCycleTime or 0
                reactivationTime = mod.getModifiedItemAttr("moduleReactivationDelay") or 0
                fullCycleTime = cycleTime + reactivationTime
                reloadTime = mod.reloadTime
                if fullCycleTime > 0:
                    capNeed = mod.capUse
                    if capNeed > 0:
                        capUsed += capNeed
                    else:
                        capAdded -= capNeed

                    # If this is a turret, don't stagger activations
                    disableStagger = mod.hardpoint == FittingHardpoint.TURRET

                    drains.append((
                        int(fullCycleTime),
                        mod.getModifiedItemAttr("capacitorNeed") or 0,
                        mod.numShots or 0,
                        disableStagger,
                        reloadTime,
                        mod.item.group.name == 'Capacitor Booster'))

        for fullCycleTime, capNeed, clipSize, reloadTime in self.iterDrains():
            drains.append((
                int(fullCycleTime),
                capNeed,
                clipSize,
                # Stagger incoming effects for cap simulation
                False,
                reloadTime,
                False))
            if capNeed > 0:
                capUsed += capNeed / (fullCycleTime / 1000.0)
            else:
                capAdded += -capNeed / (fullCycleTime / 1000.0)

        return drains, capUsed, capAdded

    def simulateCap(self):
        drains, self.__capUsed, self.__capRecharge = self.__generateDrain()