def METHOD_NAME(self):
    # set up fg
    expected_result = list(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])
    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, evm, vsi)
    self.tb.run()
    # check data
    output_data = vsi.data()
    self.assertEqual(expected_result, output_data)