ENERGIES = [845.0, 852.0]
ACC_TIME = 1.0
ACC_SAMPLES = 100

cadc1_av = create_averager(CADC1, ACC_SAMPLES, interval = ACC_TIME/100, name = "CADC1", monitored=-1)
cadc2_av = create_averager(CADC2, ACC_SAMPLES, interval = ACC_TIME/100, name = "CADC2", monitored=-1)
cadc3_av = create_averager(CADC3, ACC_SAMPLES, interval = ACC_TIME/100, name = "CADC3", monitored=-1)

class TeyNorm(Readable):
    def read(self):
        return cadc1_av.take().doubleValue() / cadc2_av.take().doubleValue() 

class DiodeNorm(Readable):
    def read(self):
        return cadc3_av.take().doubleValue() / cadc2_av.take().doubleValue() 


sensors = [cadc1_av, cadc2_av, cadc3_av, TeyNorm(),DiodeNorm(), energy_readback,Temperature]


def after_readout(record, scan):
    pass
        
def before_pass(pass_num):
    print "pass: ",pass_num
    en = ENERGIES[((pass_num-1)%2)]
    set_energy(en)      
    time.sleep(ACC_TIME)    


        
ret= tscan(sensors, 1, 0, passes = 1000, before_pass = before_pass, after_read=after_readout)