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ddmms / ml-peg / 26325984529
31%
main: 31%

Build:
Build:
LAST BUILD BRANCH: update-callbacks
DEFAULT BRANCH: main
Ran 23 May 2026 06:44AM UTC
Jobs 4
Files 18
Run time 1min
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23 May 2026 06:39AM UTC coverage: 30.753%. Remained the same
26325984529

Pull #565

github

google-labs-jules[bot]
perf: Replace slow pandas iterrows() with itertuples() or to_dict()

Refactored multiple loops across the codebase that were previously using `pd.DataFrame.iterrows()` to use more efficient iteration methods: `df.itertuples(index=False, name=None)` and `df.to_dict('records')`.

`iterrows()` is notoriously slow due to the overhead of creating a `pd.Series` object for every single row. By switching to tuples or native dictionaries, the inner loops execute significantly faster.

Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>
Pull Request #565: ⚡ Bolt: [performance improvement] Replace slow pandas iterrows() with itertuples() or to_dict()

290 of 943 relevant lines covered (30.75%)

1.23 hits per line

Jobs
ID Job ID Ran Files Coverage
1 run-3.11 - 26325984529.1 23 May 2026 06:44AM UTC 18
30.75
GitHub Action Run
2 run-3.10 - 26325984529.2 23 May 2026 06:45AM UTC 18
30.75
GitHub Action Run
3 run-3.13 - 26325984529.3 23 May 2026 06:44AM UTC 18
30.75
GitHub Action Run
4 run-3.12 - 26325984529.4 23 May 2026 06:44AM UTC 18
30.75
GitHub Action Run
Source Files on build 26325984529
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