- Removed hardcoded video data and replaced it with dynamic loading from `data/minerva_metadata.json`.
- Updated the `phrases` function to handle metadata and return structured data for each reviewed line.
- Modified command-line arguments to allow importing specific YouTube IDs.
- Enhanced validation checks to ensure the integrity of imported lines.
- Updated tests to reflect changes in the import logic and ensure coverage for new functionality.
Add comprehensive tests for the Tutor module in test_tutor.py
- Implement tests to verify lesson scenarios and their corresponding lines.
- Ensure vocabulary expands correctly with each lesson.
- Validate conversation flow, including turn handling and summary generation.
- Test for new words and their recognition in lessons.
- Check that corrections without changes are ignored.
- Confirm that only teachers can initiate sessions until opened.
- Validate daily limits based on stored data.
- Ensure conversations are restricted to the respective students.
- Implement input validation for start parameters.
- Handle refused answers appropriately without counting them.
Add tests for GOP pooling and windowing functionality
- Implemented tests for GOP frame pooling in `test_gop_pooling.py` to validate the scoring of synthetic CTC emissions, including various scenarios for vowel and consonant recognition.
- Created tests for class-based GOP windows in `test_gop_window.py`, ensuring proper handling of vowel and consonant transitions, substitutions, and deletions.
- Added a test for the Minerva import functionality in `test_minerva_import.py` to verify the integrity of the pilot manifest and associated phrases.
