testing

[niveditasing]

This PR includes

1. Code fix:

   • Pandas Modernization: Replaced the deprecated delim_whitespace=True parameter with sep=r'\s+' across all year-specific modules (national, state, and county).
   • Robust Geo ID Formatting: Refactored county GEO ID processing in county_1990_2000.py to use a clean pandas chain: .astype(int).astype(str).str.zfill(5).
   • Safe Post-Processing: Added existence checks in postprocess.py to prevent FileNotFoundError when merging intermediate output files.
   • Safe Downloader Execution: Added a null check on _FILES_TO_DOWNLOAD in preprocess.py to prevent errors when there are no files to process.

2. Added golden checks

3. Testing results: https://storage.mtls.cloud.google.com/datcom-import-test/scripts/us_census/pep/us_pep_sexrace/USCensusPEP_By_Sex_Race/2026_07_31T01_39_54_500027_07_00/input0/validation/validation_output.csv

[gemini-code-assist]

Code Review

This pull request updates the US Census PEP sex/race processing scripts by replacing the deprecated delim_whitespace=True parameter with sep=r'\s+' in pandas read operations, adding validation configurations, and introducing safety checks for missing files and download lists. Feedback on these changes suggests raising a FileNotFoundError instead of logging a warning when intermediate files are missing in postprocess.py to prevent silent data loss. Additionally, it is recommended to use .loc for column assignment in county_1990_2000.py to avoid potential SettingWithCopyWarning issues.