def test_normalize_time_arguments(self):
fh = self._create_file(0, 2)
r = DataReader().open(fh)
self.assertEqual(r.normalize_time_arguments(0, 1), (0, 1))
self.assertEqual(r.normalize_time_arguments(0.0, 0.01, 'seconds'),
(0, 10))
self.assertEqual(r.normalize_time_arguments(-10, -1), (242, 251))
self.assertEqual(r.normalize_time_arguments(-0.01, -0.005, 'seconds'),
(0, 252))
def test_statistics_get(self):
#fh = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'data_recording_01.jls')
fh = self.create_sinusoid_file(2000000, 400000)
r = DataReader().open(fh)
t_start, t_stop = 0.066780, 0.069004
k_start, k_stop = r.normalize_time_arguments(t_start,
t_stop,
units='seconds')
ranges = [
(0, 1000), # trivial, direct
(0, 20000), # trivial, single reduction
(100000, 101000), # offset, direct
(100000, 120000), # offset, ex
(99000, 120000),
(100000, 121000),
(99000, 121000),
(k_start, k_stop),
]
for k_start, k_stop in ranges:
# print(f'range {k_start}:{k_stop}')
s1 = r.statistics_get(k_start, k_stop, units='samples')
k = r.samples_get(k_start,
k_stop,
units='samples',
fields=['current'])
i_mean = np.mean(k['signals']['current']['value'])
np.testing.assert_allclose(s1['signals']['current']['µ']['value'],
i_mean,
rtol=0.0005)
r.close()