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))