Ejemplo n.º 1
0
    ######################################################
    # testing activities
    # this test aims at characterizing the CPU
    testing = 1
    dynamics_plot_online = 0
    if testing == 1:
    
        sleepTimeTest = [ cpu_model(x) for x in cpuSequence]

        data = {"x":[], "y":[]}
        for sleepTime in sleepTimeTest:
            monitor = MonitorThread(0, 0.1)
            monitor.setSleepTimeTarget(sleepTime)
            monitor.start()

            actuator = openLoopActuator(monitor, 10, 0, dynamics_plot_online)
            actuator.setSleepTime(sleepTime)
            actuator.run()
            
            monitor.running = 0
            dynamics =  monitor.getDynamics()
            actuator.close()
            monitor.join()

            data['x'].append(sleepTime)
            data['y'].append(sum(dynamics['cpu']) / float(len(dynamics['cpu'])))

            monitor.running = 0
            monitor.join()

            if not dynamics_plot_online:
Ejemplo n.º 2
0
    testing = 1
    dynamics_plot_online = 0
    if testing == 1:
        sleepTimeSequence = [
            0.001, 0.005, 0.01, 0.02, 0.03, 0.08, 0.1, 0.15, 0.2, 0.3, 0.4, 0.5
        ]
        cpuSequence = [
            0.1, 0.8, 0.30, 0.70, 0.40, 0.10, 0.20, 0.60, 0.20, 0.70
        ]
        #cpuSequence = [ 0.80]
        #sleepTimeSequence = [0.001,  0.02]
        sleepTimeSequence = [cpu_model(x) for x in cpuSequence]
        stepPeriod = 4
        monitor = MonitorThread(0, 0.1)
        actuator = openLoopActuator(monitor,
                                    len(sleepTimeSequence) * stepPeriod, 0,
                                    dynamics_plot_online)
        monitor.start()
        actuator.run_sequence(sleepTimeSequence)

        monitor.running = 0
        dynamics = monitor.getDynamics()
        actuator.close()
        monitor.join()

        with open('feed_forward_data', 'w') as outfile:
            json.dump(dynamics, outfile)
    else:
        with open('feed_forward_data', 'r') as outfile:
            dynamics = json.load(outfile)
    ######################################################
    #             FEEDFORWARD TEST                    #
    ######################################################
    # testing activities
    # this test aims at characterizing the CPU
    testing = 1
    dynamics_plot_online = 0
    if testing == 1:
        sleepTimeSequence = [0.001, 0.005, 0.01, 0.02, 0.03, 0.08, 0.1, 0.15, 0.2, 0.3, 0.4, 0.5]
        cpuSequence = [0.1, 0.8, 0.30, 0.70, 0.40, 0.10, 0.20, 0.60, 0.20, 0.70]
        #cpuSequence = [ 0.80]
        #sleepTimeSequence = [0.001,  0.02]
        sleepTimeSequence = [ cpu_model(x) for x in cpuSequence]
        stepPeriod = 4
        monitor = MonitorThread(0, 0.1)
        actuator = openLoopActuator(monitor, len(sleepTimeSequence) * stepPeriod, 0, dynamics_plot_online)
        monitor.start()
        actuator.run_sequence(sleepTimeSequence)
        
        monitor.running = 0
        dynamics =  monitor.getDynamics()
        actuator.close()
        monitor.join()
        
        with open('feed_forward_data', 'w') as outfile:
            json.dump(dynamics, outfile)
    else:
        with open('feed_forward_data', 'r') as outfile:
            dynamics = json.load(outfile)

    plt.figure()