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- Enhanced logging in cache_pipeline.py to clearly show which run uses cache
- Added ASCII separators to visually distinguish between Run 1 and Run 2
- Simplified step logging to focus on the key concept
- Added explanatory note highlighting that cached steps are skipped entirely
- Updated utils.py separator width for consistency
These changes make it much clearer to students when caching is happening and how it affects pipeline execution.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
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