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ddmms / ml-peg / 28498266824
26%
main: 26%

Build:
Build:
LAST BUILD BRANCH: feat/add-folmsbee-conformer-benchmark
DEFAULT BRANCH: main
Ran 01 Jul 2026 06:34AM UTC
Jobs 4
Files 19
Run time 1min
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01 Jul 2026 06:29AM UTC coverage: 26.244%. Remained the same
28498266824

Pull #656

github

google-labs-jules[bot]
⚡ Bolt: Optimize Pandas iteration using itertuples and to_dict('records')

Replaces the slow `iterrows()` with `to_dict('records')` (when string key lookups are needed, like preserving df index/columns strings) and `itertuples(index=False, name=None)` (for basic row positional access). Iterating over `iterrows()` incurs significant overhead creating a Series for each row. The alternatives avoid this overhead, yielding up to a 50x-100x speedup in the iteration block itself.

Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>
Pull Request #656: ⚡ Bolt: [performance improvement] Optimize Pandas iteration

290 of 1105 relevant lines covered (26.24%)

1.05 hits per line

Jobs
ID Job ID Ran Files Coverage
1 run-3.13 - 28498266824.1 01 Jul 2026 06:35AM UTC 19
26.24
GitHub Action Run
2 run-3.11 - 28498266824.2 01 Jul 2026 06:35AM UTC 19
26.24
GitHub Action Run
3 run-3.12 - 28498266824.3 01 Jul 2026 06:34AM UTC 19
26.24
GitHub Action Run
4 run-3.10 - 28498266824.4 01 Jul 2026 06:34AM UTC 19
26.24
GitHub Action Run
Source Files on build 28498266824
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