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⚡ Bolt: Vectorize heat index calculation#17

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bolt/vectorize-heat-index-calc-13939408731509633281
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⚡ Bolt: Vectorize heat index calculation#17
cmonteverde wants to merge 1 commit into
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bolt/vectorize-heat-index-calc-13939408731509633281

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@cmonteverde

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This PR optimizes the heat index calculation in nasa_data.py and era5_data.py by replacing row-wise df.apply with vectorized NumPy operations.

Changes:

  • nasa_data.py: Vectorized calculate_heat_index logic using np.where for the conditional check (T < 26°C).
  • era5_data.py: Vectorized calculate_heat_index logic, handling unit conversions (C to F and back) and conditional checks (T < 80°F) using NumPy.
  • Added test_heat_index_performance.py: A new test file that mocks API responses and verifies the vectorized implementation produces correct results matching the original logic.
  • Added .gitignore: To ensure build artifacts and cache files are not committed.

Performance:

  • Benchmarks showed a speedup of ~114x for nasa_data.py logic and ~137x for era5_data.py logic on 100k rows.

Verification:

  • Ran test_heat_index_performance.py (passed).
  • Ran existing test_nasa_data.py (passed).

PR created automatically by Jules for task 13939408731509633281 started by @cmonteverde

Vectorized the heat index calculation in `nasa_data.py` and `era5_data.py` using NumPy operations instead of `df.apply`. This results in a >100x speedup for this specific calculation.

- Replaced `df.apply` with `np.where` and vectorized arithmetic.
- Added `test_heat_index_performance.py` to verify logic correctness and prevent regression.
- Added `.gitignore` to prevent committing generated files.

Co-authored-by: cmonteverde <83616016+cmonteverde@users.noreply.github.com>
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