⚡ Bolt: Vectorize precipitation map interpolation#11
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Replaced the nested loop O(N*M) IDW interpolation with vectorized numpy operations. This provides a ~15x speedup (0.17s -> 0.01s) for map generation. - Used `np.meshgrid` with `indexing='ij'` to generate target grids. - Used broadcasting for distance calculation. - Maintained existing logic including random variation masking for sampled points. - Reformatted file with black. Co-authored-by: cmonteverde <83616016+cmonteverde@users.noreply.github.com>
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⚡ Bolt: Vectorize IDW interpolation for precipitation maps
💡 What: Replaced slow nested-loop IDW interpolation with vectorized numpy operations.
🎯 Why: Map generation was using an O(N*M) loop which is slow in Python.
📊 Impact: ~15x speedup for 10x10 grid generation (0.17s -> 0.011s).
🔬 Measurement: Verified with
benchmark_nasa.py(script deleted after verification) and existingtest_nasa_data.py.PR created automatically by Jules for task 17031868816485085697 started by @cmonteverde