⚡ Bolt: [performance improvement] Replace iterrows with to_dict('records')

[alinelena]

💡 What: Replaced df.iterrows() with df.to_dict('records') in verify_processed_omol25.py.
🎯 Why: Iterating over a pandas DataFrame using df.iterrows() is an extreme performance anti-pattern because it wraps every row into a new pd.Series object. By converting the entire dataframe to a list of native Python dictionaries first using C/Cython implementations, the processing overhead is massively reduced.
📊 Impact: Orders of magnitude faster iteration over the DataFrame when building lookup dictionaries, significantly reducing the runtime of the verification script.
🔬 Measurement: Run verify_processed_omol25.py on a large dataset and measure the time taken during the loading and parsing phase before the structural alignment logs are printed.

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PR created automatically by Jules for task 7541547926814459645 started by @alinelena

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