@@ -183,7 +183,7 @@ class ADC_Result(Resultable, Drawable, DamarisFFT, Signalpath):
|
||||
for i in range(self.get_number_of_channels()):
|
||||
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()
|
||||
return r
|
||||
|
||||
|
||||
@@ -118,9 +118,23 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
|
||||
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)
|
||||
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()
|
||||
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):
|
||||
if self.uses_statistics():
|
||||
try:
|
||||
@@ -1032,10 +1046,10 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
|
||||
self.set_title(self.__title_pattern % self.n)
|
||||
if hasattr(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.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()
|
||||
|
||||
return self
|
||||
@@ -1066,6 +1080,7 @@ class Accumulation(Errorable, Drawable, DamarisFFT, Signalpath):
|
||||
self.time_period=[min(self.time_period[0],other.time_period[0]),
|
||||
max(self.time_period[1],other.time_period[1])]
|
||||
self.job_id = other.job_id
|
||||
self.job_ids.update(other.job_ids)
|
||||
# Removes mismatched common description keys
|
||||
if self.common_descriptions is not None and other.common_descriptions is not None:
|
||||
# Get all keys that exist in both dictionaries
|
||||
|
||||
@@ -10,12 +10,6 @@ def result():
|
||||
print("h5 already opened")
|
||||
accu = Accumulation(error=False)
|
||||
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["data/ts %i"%num] = ts+0
|
||||
ts.write_to_hdf(h5, "/", f"adc_{num}", f"adc_{num}")
|
||||
|
||||
@@ -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[1], np.array([25, 35])))
|
||||
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):
|
||||
"""Test the functionality of writing to CSV."""
|
||||
|
||||
Reference in New Issue
Block a user