def test_failure_audio_gap_df(self):
my_data = [
(1000., pa.Table.from_pydict({"microphone": [10, 20, 30, 40]})),
(1500., pa.Table.from_pydict({"microphone": [40, 30, 20, 10]}))
]
result = gpu.fill_audio_gaps(my_data, self.sample_interval)
error = result.errors.get()
self.assertEqual(len(error), 1)
def test_misshapen_audio_gap_df(self):
my_data = [
(1000., pa.Table.from_pydict({"microphone": [10, 20, 30, 40]})),
(2000., pa.Table.from_pydict({"microphone": [40, 30, 20, 10]})),
(5000., pa.Table.from_pydict({"microphone": [5, 15, 25, 35]}))
]
result = gpu.fill_audio_gaps(my_data, self.sample_interval)
filled_df = result.result
gaps = result.gaps
self.assertEqual(len(filled_df["timestamps"]), 20)
self.assertEqual(len(gaps), 1)