28846550131
26%
main: 26%

Ran 07 Jul 2026 06:37AM UTC

Jobs 4

Files 19

Run time 1min

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Committed 07 Jul 2026 06:33AM UTC coverage: 26.244%. Remained the same

Build # 28846550131

Build Type

Pull #675

github

Committed by

google-labs-jules[bot]

Commit Message

⚡ Bolt: Replace slow iterrows() with itertuples() or to_dict('records')

Refactored `df.iterrows()` to `df.itertuples()` or `df.to_dict('records')` in multiple calculation scripts (MPCONF196, solvMPCONF196, gscdb138, elasticity) to resolve a known Pandas performance bottleneck caused by creating Series objects for each row.

Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>

Pull Request Pull Request #675: ⚡ Bolt: [performance improvement] Replace slow iterrows() with itertuples() or to_dict('records')

Coverage Stats

290 of 1105 relevant lines covered (26.24%)

1.05 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
1	run-3.10 - 28846550131.1	07 Jul 2026 06:38AM UTC	19	26.24	GitHub Action Run
2	run-3.13 - 28846550131.2	07 Jul 2026 06:38AM UTC	19	26.24	GitHub Action Run
3	run-3.12 - 28846550131.3	07 Jul 2026 06:37AM UTC	19	26.24	GitHub Action Run
4	run-3.11 - 28846550131.4	07 Jul 2026 06:38AM UTC	19	26.24	GitHub Action Run

ddmms / ml-peg / 28846550131
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