Phase 2.1: Refactor lit_model.py into modular components #171
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Split the monolithic lit_model.py (1846 lines) into focused, maintainable modules: - lit_model.py (539 lines, 71% reduction): Core Lightning orchestration - deep_supervision.py (404 lines): Deep supervision and multi-task learning - inference.py (868 lines): Sliding window inference, TTA, postprocessing - debugging.py (173 lines): NaN detection and debugging utilities Key improvements: - Eliminated code duplication through delegation pattern - Clear separation of concerns with single responsibility per module - Improved maintainability and testability - No backward compatibility methods (clean design per user requirement) All modules pass Python syntax compilation. Integration tests pending. Closes #2.1 in REFACTORING_PLAN.md
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Split the monolithic lit_model.py (1846 lines) into focused, maintainable modules:
Key improvements:
All modules pass Python syntax compilation. Integration tests pending.
Closes #2.1 in REFACTORING_PLAN.md