def test_write_read_stats_over_samples_offset(self):
     fh = self._create_file(0, 2)
     r = DataReader()
     r.raw_processor.suppress_mode = 'off'
     r.open(fh)
     data = r.data_get(7, 50, 10)
     np.testing.assert_allclose(np.arange(23, 90, 20), data[:, 0]['mean'])
 def test_write_read_direct_with_sample_overscan_before(self):
     fh = self._create_file(
         1, 3)  # will be samples 120 to 250 (not 126 to 252)
     r = DataReader().open(fh)
     r.raw_processor.suppress_mode = 'off'
     data = r.data_get(0, 140, 1)
     np.testing.assert_allclose(np.arange(252, 532, 2), data[:, 0]['mean'])
 def test_write_read_direct_with_offset(self):
     fh = self._create_file(0, 2)
     r = DataReader().open(fh)
     r.raw_processor.suppress_mode = 'off'
     # d = np.right_shift(r.raw(5, 10), 2)
     data = r.data_get(5, 10, 1)
     np.testing.assert_allclose(np.arange(10, 20, 2), data[:, 0]['mean'])
 def test_write_read_direct(self):
     fh = self._create_file(0, 2)
     r = DataReader().open(fh)
     self.assertEqual([0, 252], r.sample_id_range)
     r.raw_processor.suppress_mode = 'off'
     data = r.data_get(0, 252, 1)
     np.testing.assert_allclose(np.arange(0, 252 * 2, 2), data[:,
                                                               0]['mean'])
 def test_create_single(self):
     fh = self._create_file_insert(0, 2, 2)
     r = DataReader()
     r.raw_processor.suppress_mode = 'off'
     r.open(fh)
     self.assertEqual([0, 252], r.sample_id_range)
     self.assertEqual(1000, r.output_sampling_frequency)
     self.assertEqual(0.05, r.reduction_frequency)
     self.assertEqual(0.252, r.duration)
     self.assertEqual(0.0, r.sample_id_to_time(0))
     self.assertEqual(0, r.time_to_sample_id(0))
     self.assertEqual(0.2, r.sample_id_to_time(200))
     self.assertEqual(200, r.time_to_sample_id(0.2))
     data = r.data_get(6, 10, 1)
     np.testing.assert_allclose(np.arange(12, 20, 2), data[:, 0]['mean'])
 def test_empty_file(self):
     fh = io.BytesIO()
     d = DataRecorder(fh)
     d.close()
     fh.seek(0)
     r = DataReader().open(fh)
     self.assertEqual([0, 0], r.sample_id_range)
     self.assertEqual(1.0, r.sampling_frequency)
     self.assertEqual(1.0, r.input_sampling_frequency)
     self.assertEqual(1.0, r.output_sampling_frequency)
     self.assertEqual(1.0, r.reduction_frequency)
     self.assertEqual(0.0, r.duration)
     self.assertEqual(0, r.voltage_range)
     self.assertEqual(0, len(r.get_reduction(0, 0)))
     self.assertEqual(0, len(r.data_get(0, 0)))
     self.assertEqual(0, r.time_to_sample_id(0.0))
     self.assertEqual(0.0, r.sample_id_to_time(0))
     self.assertIsNone(r.samples_get(0, 0))
     r.close()
 def test_write_read_reduction_indirect(self):
     fh = self._create_file(0, 32)
     r = DataReader().open(fh)
     data = r.data_get(0, 4000, 2000)
     np.testing.assert_allclose([1999, 5999], data[:, 0]['mean'])
Example #8
0
 def test_regression_01(self):
     fname = 'C:/Users/Matth/Documents/joulescope/20201009_185143.jls'
     r = DataReader().open(fname)
     s_start, s_stop = r.sample_id_range
     increment = (s_stop - s_start) // 1000
     r.data_get(s_start, s_stop, increment, units='samples')