Fixed #13 and #14
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This commit is contained in:
2026-07-05 14:07:57 +02:00
parent 4250039b3c
commit b46debad69
4 changed files with 19 additions and 10 deletions
+1 -1
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@@ -183,7 +183,7 @@ class ADC_Result(Resultable, Drawable, DamarisFFT, Signalpath):
for i in range(self.get_number_of_channels()): for i in range(self.get_number_of_channels()):
tmp_y.append(self.y[i][start:end+1].copy()) tmp_y.append(self.y[i][start:end+1].copy())
r = ADC_Result(x = tmp_x, y = tmp_y, index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, desc = self.description, job_id = self.job_id, job_date = self.job_date) r = ADC_Result(x = tmp_x, y = tmp_y, index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, desc = self.description.copy() if self.description is not None else None, job_id = self.job_id, job_date = self.job_date)
self.lock.release() self.lock.release()
return r return r
+17 -2
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@@ -118,9 +118,23 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
tmp_y.append(self.y[i][start:end+1]) tmp_y.append(self.y[i][start:end+1])
r = Accumulation(x = tmp_x, y = tmp_y, n = self.n, index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, error = self.use_error) r = Accumulation(x = tmp_x, y = tmp_y, n = self.n, index = [(0,len(tmp_y[0])-1)], sampl_freq = self.sampling_rate, error = self.use_error)
if self.uses_statistics():
r.y_square = []
for i in range(self.get_number_of_channels()):
r.y_square.append(self.y_square[i][start:end+1])
if self.common_descriptions is not None:
r.common_descriptions = self.common_descriptions.copy()
r.time_period = self.time_period[:]
r.job_ids = self.job_ids.copy()
self.lock.release() self.lock.release()
return r return r
def get_result_by_index(self, index):
return self.get_accu_by_index(index)
def get_Result_by_index(self, index):
return self.get_accu_by_index(index)
def get_ysquare(self, channel): def get_ysquare(self, channel):
if self.uses_statistics(): if self.uses_statistics():
try: try:
@@ -1032,10 +1046,10 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
self.set_title(self.__title_pattern % self.n) self.set_title(self.__title_pattern % self.n)
if hasattr(other, "is_clipped"): if hasattr(other, "is_clipped"):
self.is_clipped = other.is_clipped self.is_clipped = other.is_clipped
self.common_descriptions=other.common_desriptions.copy() self.common_descriptions=other.common_descriptions.copy()
self.time_period=other.time_period[:] self.time_period=other.time_period[:]
self.job_id = other.job_id # added by Oleg Petrov self.job_id = other.job_id # added by Oleg Petrov
self.job_ids += other.job_ids self.job_ids.update(other.job_ids)
self.lock.release() self.lock.release()
return self return self
@@ -1066,6 +1080,7 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
self.time_period=[min(self.time_period[0],other.time_period[0]), self.time_period=[min(self.time_period[0],other.time_period[0]),
max(self.time_period[1],other.time_period[1])] max(self.time_period[1],other.time_period[1])]
self.job_id = other.job_id self.job_id = other.job_id
self.job_ids.update(other.job_ids)
# Removes mismatched common description keys # Removes mismatched common description keys
if self.common_descriptions is not None and other.common_descriptions is not None: if self.common_descriptions is not None and other.common_descriptions is not None:
# Get all keys that exist in both dictionaries # Get all keys that exist in both dictionaries
-6
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@@ -10,12 +10,6 @@ def result():
print("h5 already opened") print("h5 already opened")
accu = Accumulation(error=False) accu = Accumulation(error=False)
for num,ts in enumerate(results): for num,ts in enumerate(results):
x = numpy.linspace(0, 1, 10)
y1 = [numpy.array([0, 4000, 8190, 8191, 8192, 0, -8191, -8192, -8193, 0], dtype="int16")]
# Test with default (14-bit)
adc1 = ADC_Result(x=x, y=y1, index=[(0,9)], sampl_freq=1000, desc={}, job_id=1, job_date=0)
accu.is_clipped = True
data["accu"] = accu data["accu"] = accu
data["data/ts %i"%num] = ts+0 data["data/ts %i"%num] = ts+0
ts.write_to_hdf(h5, "/", f"adc_{num}", f"adc_{num}") ts.write_to_hdf(h5, "/", f"adc_{num}", f"adc_{num}")
+1 -1
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@@ -105,7 +105,7 @@ class TestAccumulation(unittest.TestCase):
self.assertTrue(np.array_equal(sub_result.y[0], np.array([20, 30]))) self.assertTrue(np.array_equal(sub_result.y[0], np.array([20, 30])))
self.assertTrue(np.array_equal(sub_result.y[1], np.array([25, 35]))) self.assertTrue(np.array_equal(sub_result.y[1], np.array([25, 35])))
self.assertEqual(sub_result.index, [(0, 1)]) self.assertEqual(sub_result.index, [(0, 1)])
# TODO Fix #13: self.assertEqual(sub_result.common_descriptions, {"key": "value"}) self.assertEqual(sub_result.common_descriptions, {"key": "value"})
def test_write_to_csv_without_error(self): def test_write_to_csv_without_error(self):
"""Test the functionality of writing to CSV.""" """Test the functionality of writing to CSV."""