def performAction(self, action):
        # scaling
        self.incStep()
        action = (action + 1.0) / 2.0 * self.dif + self.env.fraktMin * self.env.dists[0]
        #Clipping the maximal change in actions (max force clipping)
        action = clip(action, self.action - self.maxSpeed, self.action + self.maxSpeed)
        EpisodicTask.performAction(self, action)
        self.action = action.copy()
Get Organization matches for separate handling on template.
dataset/ETHPy150Open pybrain/pybrain/pybrain/rl/environments/flexcube/tasks.py/NoRewardTask.performAction--crossover with--dataset/ETHPy150Open mozilla/source/source/base/views.py/SourceSearchView.get_organization_results