def exec_general(self, data_1, data_2, fill_value=None):
tabor_segments = [TaborSegment(d1, d2) for d1, d2 in zip(data_1, data_2)]
expected_length = (sum(segment.num_points for segment in tabor_segments) + 16 * (len(tabor_segments) - 1)) * 2
result = make_combined_wave(tabor_segments, fill_value=fill_value)
self.assertEqual(len(result), expected_length)
validate_result(tabor_segments, result, fill_value=fill_value)
destination_array = np.empty(expected_length, dtype=np.uint16)
result = make_combined_wave(tabor_segments, fill_value=fill_value, destination_array=destination_array)
validate_result(tabor_segments, result, fill_value=fill_value)
self.assertEqual(destination_array.__array_interface__['data'], result.__array_interface__['data'],
'Data was copied')
def test_invalid_segment_length(self):
gen = itertools.count()
data_1 = [np.fromiter(gen, count=32, dtype=np.uint16),
np.fromiter(gen, count=15, dtype=np.uint16),
np.fromiter(gen, count=192, dtype=np.uint16)]
data_2 = [np.fromiter(gen, count=32, dtype=np.uint16),
np.fromiter(gen, count=16, dtype=np.uint16),
np.fromiter(gen, count=193, dtype=np.uint16)]
tabor_segments = [TaborSegment(d, d) for d in data_1]
with self.assertRaises(ValueError):
make_combined_wave(tabor_segments)
tabor_segments = [TaborSegment(d, d) for d in data_2]
with self.assertRaises(ValueError):
make_combined_wave(tabor_segments)
def exec_general(self, data_1, data_2, fill_value=None):
tabor_segments = [TaborSegment(d1, d2) for d1, d2 in zip(data_1, data_2)]
expected_length = (sum(segment.num_points for segment in tabor_segments) + 16 * (len(tabor_segments) - 1)) * 2
offset = 0
pyte_result = 15000*np.ones(expected_length, dtype=np.uint16)
for i, segment in enumerate(tabor_segments):
offset = pytabor.make_combined_wave(segment[0], segment[1],
dest_array=pyte_result, dest_array_offset=offset,
add_idle_pts=i > 0)
self.assertEqual(expected_length, offset)
result = make_combined_wave(tabor_segments, fill_value=15000)
np.testing.assert_equal(pyte_result, result)
dest_array = 15000*np.ones(expected_length, dtype=np.uint16)
result = make_combined_wave(tabor_segments, destination_array=dest_array)
np.testing.assert_equal(pyte_result, result)
# test that the destination array data is not copied
self.assertEqual(dest_array.__array_interface__['data'],
result.__array_interface__['data'])
with self.assertRaises(ValueError):
make_combined_wave(tabor_segments, destination_array=np.ones(16))
def _amend_segments(self, segments: List[TaborSegment]) -> np.ndarray:
new_lengths = np.asarray([s.num_points for s in segments],
dtype=np.uint32)
wf_data = make_combined_wave(segments)
trac_len = len(wf_data) // 2
segment_index = len(self._segment_capacity)
first_segment_number = segment_index + 1
self.device.send_cmd(':TRAC:DEF {},{}'.format(first_segment_number,
trac_len))
self.device.send_cmd(':TRAC:SEL {}'.format(first_segment_number))
self.device.send_cmd(':TRAC:MODE COMB')
self.device.send_binary_data(pref=':TRAC:DATA', bin_dat=wf_data)
old_to_update = np.count_nonzero(
self._segment_capacity != self._segment_lengths)
segment_capacity = np.concatenate(
(self._segment_capacity, new_lengths))
segment_lengths = np.concatenate((self._segment_lengths, new_lengths))
segment_references = np.concatenate(
(self._segment_references, np.ones(len(segments), dtype=int)))
segment_hashes = np.concatenate(
(self._segment_hashes, [hash(s) for s in segments]))
if len(segments) < old_to_update:
for i, segment in enumerate(segments):
current_segment_number = first_segment_number + i
self.device.send_cmd(':TRAC:DEF {},{}'.format(
current_segment_number, segment.num_points))
else:
# flush the capacity
self.device.download_segment_lengths(segment_capacity)
# update non fitting lengths
for i in np.flatnonzero(segment_capacity != segment_lengths):
self.device.send_cmd(':TRAC:DEF {},{}'.format(
i + 1, segment_lengths[i]))
self._segment_capacity = segment_capacity
self._segment_lengths = segment_lengths
self._segment_hashes = segment_hashes
self._segment_references = segment_references
return segment_index + np.arange(len(segments), dtype=np.int64)
def test_empty_segment_list(self):
combined = make_combined_wave([])
self.assertIsInstance(combined, np.ndarray)
self.assertIs(combined.dtype, np.dtype('uint16'))
self.assertEqual(len(combined), 0)
def get_as_binary(self) -> np.ndarray:
assert not (self[0] is None or self[1] is None)
return make_combined_wave([self])