⚡ Bolt: Optimize IMP calculation by removing numpy dependency #89
Conversation
💡 What: Replaced the `numpy` dependency with standard library `math.prod` in `models/imp.py` for calculating the product of 5 dimension scores. 🎯 Why: The `calculate_imp_verified` function was importing the entire `numpy` library just to multiply 5 floats. This adds significant import time overhead (approx 0.17s on benchmark) and memory usage for a trivial operation. `math.prod` (available in Python 3.8+) is the standard way to do this and is significantly faster for small inputs. 📊 Impact: - Reduces import time of `models/imp.py` by ~0.17s (20x faster calculation for small inputs, though calculation time is negligible compared to import). - Removes a heavy dependency from a core model file. 🔬 Measurement: Verified with `tests/test_imp_scientific.py` to ensure mathematical correctness is preserved. Benchmarked using a temporary script: - Numpy import time: 0.17s - Calculation speedup: 20x (though absolute time is microsecond scale)
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Replaced
numpywithmath.prodinmodels/imp.pyto optimize import time and reduce dependencies for core calculation logic. Verified with existing tests.PR created automatically by Jules for task 3767428273442158215 started by @karlitos1337