| |
| """Regression tests for distinguishing observed sensor rows from instructions.""" |
|
|
| import unittest |
|
|
| from convert_videos import parse_timeseries_block, parse_timeseries_data_line |
|
|
|
|
| class SensorRowTests(unittest.TestCase): |
| def test_format_example_is_not_an_observation(self) -> None: |
| self.assertIsNone(parse_timeseries_data_line("t(s): speed=, acceleration=, steering=")) |
|
|
| def test_instruction_with_commas_is_not_an_observation(self) -> None: |
| self.assertIsNone(parse_timeseries_data_line("Per-frame sensor data, missing = unavailable:")) |
|
|
| def test_actual_missing_observations_are_preserved(self) -> None: |
| row = parse_timeseries_data_line("1.5: speed=10, acceleration=null") |
| self.assertEqual(row["speed"], 10) |
| self.assertNotEqual(row["acceleration"], row["acceleration"]) |
|
|
| def test_iso_timestamp_rows_are_still_supported(self) -> None: |
| self.assertEqual(parse_timeseries_data_line("2024-06-30T12:00:00Z, speed=10"), {"speed": 10}) |
|
|
| def test_template_line_does_not_increase_sequence_length(self) -> None: |
| frame = parse_timeseries_block( |
| "<timeseries>\nOne-line format example:\nt(s): speed=, acceleration=\n" |
| "1.0: speed=10, acceleration=null\n1.5: speed=9, acceleration=-1\n</timeseries>" |
| ) |
| self.assertEqual(frame.shape, (2, 2)) |
| self.assertEqual(frame["speed"].tolist(), [10, 9]) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
