def METHOD_NAME(self):
    upper_bound = list(50.0 * numpy.ones((self.num_data,)))
    lower_bound = list(0.0 * numpy.zeros((self.num_data,)))
    self.cons = cons = digital.constellation_qpsk().base()
    self.data = data = [random.randrange(
        len(cons.points())) for x in range(self.num_data)]
    self.symbols = symbols = numpy.squeeze(
        [cons.map_to_points_v(i) for i in data])
    chan = channels.channel_model(
        noise_voltage=0.1,
        frequency_offset=0.0,
        epsilon=1.0,
        taps=[1.0 + 0.0j],
        noise_seed=0,
        block_tags=False)
    evm = digital.meas_evm_cc(cons, digital.evm_measurement_t.EVM_PERCENT)
    vso = blocks.vector_source_c(symbols, False, 1, [])
    mc = blocks.multiply_const_cc(3.0 + 2.0j)
    vsi = blocks.vector_sink_f()
    self.tb.connect(vso, chan, evm, vsi)
    self.tb.run()
    # check data
    output_data = vsi.data()
    self.assertLess(output_data, upper_bound)
    self.assertGreater(output_data, lower_bound)