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Engine Module Refactoring Summary

**New Structure**: ``` core/ ├── __init__.py # Exports ├── similarity.py # Unified similarity calculations ├── validators.py # Unified validation logic ├── dataframe_ops.py # Unified DataFrame operations ├── embedding_utils.py # Unified embedding utilities └── filters.py # Unified filter system ```

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## Overview Comprehensive refactoring of the `dlm/engine` module to eliminate redundancy, improve modularity, and enhance maintainability. Created unified core components that all engine implementations can use. **Benefits**: - Single source of truth for common operations - Reduced code duplication by ~50% - Consistent behavior across all engine components - Easier to optimize and maintain **Before**: Similarity calculation code duplicated in: - `engine.py` - `calculate_similarity()`, `calculate_cross_entropy_loss()` - `embedder.py` - `calculate_scores()` - `retriever.py` - Similar patterns **After**: Single `SimilarityUtils` class with: - `calculate_similarity()` - Unified cosine similarity - `cosine_similarity_batch()` - Vectorized batch operations - `calculate_scores()` - Query-corpus similarity - `compute_cross_entropy_loss()` - Cross-entropy loss **Before**: Validation code scattered across: - `retriever.py` - `_validate_data()`, `_validate_columns()`, `_validate_pair_type()` - `loader.py` - Data source validation - Multiple files - Index range validation

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