29807469457
26%
main: 26%

Ran 21 Jul 2026 06:38AM UTC

Jobs 4

Files 19

Run time 1min

Badge

Embed ▾

Committed 21 Jul 2026 06:34AM UTC coverage: 26.009%. Remained the same

Build # 29807469457

Build Type

Pull #711

github

Committed by

google-labs-jules[bot]

Commit Message

⚡ Bolt: Optimize Pandas DataFrame iteration

Replaced usages of `iterrows()` across the codebase with `itertuples()` or `to_dict('records')`.
`iterrows()` is known to be a severe performance bottleneck for DataFrame iteration because it yields rows as Series objects. Using `itertuples()` or `to_dict('records')` avoids this overhead and provides a measurable speedup.

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

Pull Request Pull Request #711: ⚡ Bolt: Optimize Pandas DataFrame iteration

Coverage Stats

290 of 1115 relevant lines covered (26.01%)

1.04 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
1	run-3.10 - 29807469457.1	21 Jul 2026 06:40AM UTC	19	26.01	GitHub Action Run
2	run-3.12 - 29807469457.2	21 Jul 2026 06:40AM UTC	19	26.01	GitHub Action Run
3	run-3.13 - 29807469457.3	21 Jul 2026 06:39AM UTC	19	26.01	GitHub Action Run
4	run-3.11 - 29807469457.4	21 Jul 2026 06:38AM UTC	19	26.01	GitHub Action Run

ddmms / ml-peg / 29807469457
26%
main: 26%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 29807469457

ddmms / ml-peg / 29807469457 26% main: 26%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 29807469457

ddmms / ml-peg / 29807469457
26%
main: 26%

README BADGES
x