Professional Analysis and Code Refinement#1
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- Created ANALYSIS_REPORT.md with a deep-dive into architecture, code quality, and performance. - Refined huggingface_hub import to catch ImportError specifically in aurora.py. - Removed deprecated and non-functional autocast parameter from Aurora model. - Enhanced type annotations in rollout.py. - Improved test data robustness in test_rollout.py using datetime objects.
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- Created ANALYSIS_REPORT.md with architectural deep-dive and engineering roadmap. - Refined Aurora.forward to support arbitrary lead times via optional lead_time argument. - Added Aurora10h specialized model variant for 10-hour timestep forecasts. - Exported Aurora10h in the main aurora package. - Removed deprecated and non-functional autocast parameter from Aurora model. - Refined huggingface_hub import error handling. - Added predict_weather_10h.py example script and test_aurora_10h_lead_time unit test.
- Updated RwandaConfig to include all major Rwanda airports and specialized variables. - Implemented RwandaAirportAviationSystem for point-based forecasting and risk assessment. - Optimized RwandaAurora model for high-resolution regional forecasting (0.1°). - Added robust Rwanda-specific normalization and preprocessing logic. - Provided rwanda_airport_forecast.py as a demonstration of the aviation forecasting capabilities. - Finalized ANALYSIS_REPORT.md with a detailed mapping of advanced forecasting features.
- Implemented flexible lead-time forecasts (including 10-hour prediction). - Added probabilistic ensemble forecasting (AuroraEnsemble, ensemble_rollout). - Developed a specialized Rwanda Airport Aviation System with automated risk assessments. - Optimized core model architecture for high-resolution (0.1°) regional forecasting. - Created ANALYSIS_REPORT.md documenting architecture and feature alignment. - Added comprehensive demonstration scripts and unit tests for all new features. - Cleaned up technical debt (removed deprecated parameters, fixed NameErrors).
- Created ANALYSIS_REPORT.md and AURORA_COMPREHENSIVE_DOCS.md. - Implemented flexible lead-time support and specialized Aurora10h class. - Added AuroraEnsemble and ensemble_rollout for probabilistic forecasting. - Developed RwandaAirportAviationSystem with point-based forecasting and risk assessment. - Optimized Rwanda regional configuration for high-resolution (0.1°) forecasting. - Refined core logic for robustness (device detection, expanded static vars). - Restored deprecated autocast parameter to maintain API compatibility. - Provided demo scripts for all new features. Co-authored-by: AlainKwishima <182599160+AlainKwishima@users.noreply.github.com>
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This PR provides a comprehensive professional analysis of the Aurora repository and implements several high-impact code quality improvements.
Key changes include:
ANALYSIS_REPORT.mddocumenting the model's architecture (Perceiver + Swin), engineering standards, and a roadmap for future improvements.huggingface_hubimports to catchImportErrorinstead of a genericException, ensuring better error visibility.autocastparameter from theAuroraclass, which was previously non-functional and only served to issue a warning.rolloutfunction to improve IDE support and maintainability.datetimeobjects and strictly decreasing latitudes, aligning the dummy data with the model's metadata requirements.PR created automatically by Jules for task 11660188795004311699 started by @AlainKwishima