⚡ Bolt: Optimize PSM mapping DataFrame construction#12
⚡ Bolt: Optimize PSM mapping DataFrame construction#12google-labs-jules[bot] wants to merge 1 commit intomainfrom
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Optimized the construction of the mappings DataFrame in `processing.py` by: 1. Converting the pandas Series to a list before iteration to reduce overhead. 2. Explicitly specifying columns in the `pd.DataFrame` constructor to avoid schema inference. 3. Using `dtype=object` and explicit `None` defaults to ensure missing values are treated as `None` (Falsy) rather than `NaN` (Truthy), preserving existing application logic. Verification: - Benchmark shows comparable or improved execution time (~0.20-0.30s). - All tests passed (`pytest`). - Verified `None` vs `NaN` handling for non-matches.
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⚡ Bolt Performance Optimization:
pd.DataFrameconstruction inmap_psms_to_spectraby avoiding schema inference and Series iteration.for x in matched_spec_serieswithmatched_spec_series.tolist().columnsargument topd.DataFrame.dtype=objectto preventNone->NaNcoercion.defaultsdict for non-matches.Nonevalues required by downstream logic (fixing potentialNaNissues). Verified withpytest.PR created automatically by Jules for task 9506329430907569371 started by @erayfirat