def test_amend_segments_iter(self): channel_pair = TaborChannelPair(self.instrument, identifier='asd', channels=(1, 2)) # prevent entering and exiting configuration mode channel_pair._configuration_guard_count = 2 self.instrument.paranoia_level = 0 self.reset_instrument_logs() channel_pair._segment_references = np.array([1, 2, 0, 1], dtype=np.uint32) channel_pair._segment_capacity = 192 + np.array([0, 16, 32, 32], dtype=np.uint32) channel_pair._segment_lengths = 192 + np.array([0, 0, 16, 16], dtype=np.uint32) channel_pair._segment_hashes = np.array([1, 2, 3, 4], dtype=np.int64) data = np.ones(192, dtype=np.uint16) segments = [ TaborSegment.from_sampled(0 * data, 1 * data, None, None), TaborSegment.from_sampled(1 * data, 2 * data, None, None) ] indices = channel_pair._amend_segments(segments) expected_references = np.array([1, 2, 0, 1, 1, 1], dtype=np.uint32) expected_capacities = 192 + np.array([0, 16, 32, 32, 0, 0], dtype=np.uint32) expected_lengths = 192 + np.array([0, 0, 16, 16, 0, 0], dtype=np.uint32) expected_hashes = np.array( [1, 2, 3, 4, hash(segments[0]), hash(segments[1])], dtype=np.int64) np.testing.assert_equal(channel_pair._segment_references, expected_references) np.testing.assert_equal(channel_pair._segment_capacity, expected_capacities) np.testing.assert_equal(channel_pair._segment_lengths, expected_lengths) np.testing.assert_equal(channel_pair._segment_hashes, expected_hashes) np.testing.assert_equal(indices, np.array([4, 5], dtype=np.int64)) expected_commands = [ ':INST:SEL 1', ':TRAC:DEF 5,{}'.format(2 * 192 + 16), ':TRAC:SEL 5', ':TRAC:MODE COMB', ':TRAC:DEF 5,192', ':TRAC:DEF 6,192' ] expected_log = [ ((), dict(cmd_str=cmd, paranoia_level=channel_pair.internal_paranoia_level)) for cmd in expected_commands ] self.assertAllCommandLogsEqual(expected_log) # no segment lengths written self.assert_written_segment_lengths() expected_bin_blob = make_combined_wave(segments) self.assert_written_segment_data(expected_bin_blob)
class TaborMemoryReadTests(TaborSimulatorBasedTest): def setUp(self): super().setUp() ramp_up = np.linspace(0, 2**14-1, num=192, dtype=np.uint16) ramp_down = ramp_up[::-1] zero = np.ones(192, dtype=np.uint16) * 2**13 sine = ((np.sin(np.linspace(0, 2*np.pi, 192+64)) + 1) / 2 * (2**14 - 1)).astype(np.uint16) self.segments = [TaborSegment.from_sampled(ramp_up, ramp_up, None, None), TaborSegment.from_sampled(ramp_down, zero, None, None), TaborSegment.from_sampled(sine, sine, None, None)] self.zero_segment = TaborSegment.from_sampled(zero, zero, None, None) # program 1 self.sequence_tables_raw = [[(10, 0, 0), (10, 1, 0), (10, 0, 0), (10, 1, 0)], [(1, 0, 0), (1, 1, 0), (1, 0, 0), (1, 1, 0)]] self.advanced_sequence_table = [(1, 1, 0), (1, 2, 0)] self.sequence_tables = self.to_new_sequencer_tables(self.sequence_tables_raw) self.advanced_sequence_table = self.to_new_advanced_sequencer_table(self.advanced_sequence_table) self.channel_pair = TaborChannelPair(self.instrument, (1, 2), 'tabor_unit_test') def arm_program(self, sequencer_tables, advanced_sequencer_table, mode, waveform_to_segment_index): class DummyProgram: @staticmethod def get_sequencer_tables(): return sequencer_tables @staticmethod def get_advanced_sequencer_table(): return advanced_sequencer_table @staticmethod def update_volatile_parameters(parameters): modifications = {1: TableEntry(repetition_count=5, element_number=2, jump_flag=0), (0, 1): TableDescription(repetition_count=50, element_id=1, jump_flag=0)} return modifications markers = (None, None) channels = (1, 2) waveform_mode = mode self.channel_pair._known_programs['dummy_program'] = (waveform_to_segment_index, DummyProgram) self.channel_pair.change_armed_program('dummy_program') def test_read_waveforms(self): self.channel_pair._amend_segments(self.segments) waveforms = self.channel_pair.read_waveforms() segments = [TaborSegment.from_binary_segment(waveform) for waveform in waveforms] expected = [self.zero_segment, *self.segments] for ex, r in zip(expected, segments): ex1, ex2 = ex.data_a, ex.data_b r1, r2 = r.data_a, r.data_b np.testing.assert_equal(ex1, r1) np.testing.assert_equal(ex2, r2) self.assertEqual(expected, segments) def test_read_sequence_tables(self): self.channel_pair._amend_segments(self.segments) self.arm_program(self.sequence_tables, self.advanced_sequence_table, None, np.asarray([1, 2])) sequence_tables = self.channel_pair.read_sequence_tables() actual_sequence_tables = [self.channel_pair._idle_sequence_table] + [[(rep, index+2, jump) for rep, index, jump in table] for table in self.sequence_tables_raw] expected = list(tuple(np.asarray(d) for d in zip(*table)) for table in actual_sequence_tables) np.testing.assert_equal(sequence_tables, expected) def test_read_advanced_sequencer_table(self): self.channel_pair._amend_segments(self.segments) self.arm_program(self.sequence_tables, self.advanced_sequence_table, None, np.asarray([1, 2])) actual_advanced_table = [(1, 1, 1)] + [(rep, idx+1, jmp) for rep, idx, jmp in self.advanced_sequence_table] expected = list(np.asarray(d) for d in zip(*actual_advanced_table)) advanced_table = self.channel_pair.read_advanced_sequencer_table() np.testing.assert_equal(advanced_table, expected) def test_set_volatile_parameter(self): self.channel_pair._amend_segments(self.segments) self.arm_program(self.sequence_tables, self.advanced_sequence_table, None, np.asarray([1, 2])) para = {'a': 5} actual_sequence_tables = [self.channel_pair._idle_sequence_table] + [[(rep, index + 2, jump) for rep, index, jump in table] for table in self.sequence_tables_raw] actual_advanced_table = [(1, 1, 1)] + [(rep, idx + 1, jmp) for rep, idx, jmp in self.advanced_sequence_table] self.channel_pair.set_volatile_parameters('dummy_program', parameters=para) actual_sequence_tables[1][1] = (50, 3, 0) actual_advanced_table[2] = (5, 3, 0) sequence_table = self.channel_pair.read_sequence_tables() expected = list(tuple(np.asarray(d) for d in zip(*table)) for table in actual_sequence_tables) np.testing.assert_equal(sequence_table, expected) advanced_table = self.channel_pair.read_advanced_sequencer_table() expected = list(np.asarray(d) for d in zip(*actual_advanced_table)) np.testing.assert_equal(advanced_table, expected)
def test_upload(self): segments = np.array([1, 2, 3, 4, 5]) segment_lengths = np.array([0, 16, 0, 16, 0], dtype=np.uint16).tolist() segment_references = np.array([1, 1, 2, 0, 1], dtype=np.uint32) w2s = np.array([-1, -1, 1, 2, -1], dtype=np.int64) ta = np.array([True, False, False, False, True]) ti = np.array([-1, 3, -1, -1, -1]) channels = (1, None) markers = (None, None) voltage_transformations = (lambda x: x, lambda x: x) sample_rate = TimeType.from_fraction(1, 1) with mock.patch('qupulse.hardware.awgs.tabor.TaborProgram', specs=TaborProgram) as DummyTaborProgram: tabor_program = DummyTaborProgram.return_value tabor_program.get_sampled_segments.return_value = (segments, segment_lengths) program = Loop(waveform=DummyWaveform(duration=192)) channel_pair = TaborChannelPair(self.instrument, identifier='asd', channels=(1, 2)) channel_pair._segment_references = segment_references def dummy_find_place(segments_, segement_lengths_): self.assertIs(segments_, segments) self.assertIs(segment_lengths, segement_lengths_) return w2s, ta, ti def dummy_upload_segment(segment_index, segment): self.assertEqual(segment_index, 3) self.assertEqual(segment, 2) def dummy_amend_segments(segments_): np.testing.assert_equal(segments_, np.array([1, 5])) return np.array([5, 6], dtype=np.int64) self.instrument.amplitude = mock.Mock(return_value=1.) self.instrument.sample_rate = mock.Mock(return_value=10**9) channel_pair._find_place_for_segments_in_memory = dummy_find_place channel_pair._upload_segment = dummy_upload_segment channel_pair._amend_segments = dummy_amend_segments channel_pair.upload('test', program, channels, markers, voltage_transformations) DummyTaborProgram.assert_called_once_with( program, channels=tuple(channels), markers=markers, device_properties=channel_pair.device.dev_properties, sample_rate=sample_rate, amplitudes=(.5, .5), offsets=(0., 0.), voltage_transformations=voltage_transformations) self.assertEqual(self.instrument.amplitude.call_args_list, [mock.call(1), mock.call(2)]) self.instrument.sample_rate.assert_called_once_with(1) # the other references are increased in amend and upload segment method np.testing.assert_equal(channel_pair._segment_references, np.array([1, 2, 3, 0, 1])) self.assertEqual(len(channel_pair._known_programs), 1) np.testing.assert_equal( channel_pair._known_programs['test'].waveform_to_segment, np.array([5, 3, 1, 2, 6], dtype=np.int64))