ddmms / ml-peg
31%
main: 31%

LAST BUILD BRANCH: bolt/optimize-pandas-iteration-3307733648003011843
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Token oPIZBTgyyIx5xbsdK0XsbCMna2SvDAbu8 regen
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LAST BUILD ON BRANCH bolt/optimize-pandas-iteration-3307733648003011843
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coverage: 30.753%. Remained the same
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Builds Branch Commit Type Ran Committer Via Coverage
26436009789 bolt/optimize-pandas-iteration-3307733648003011843 ⚡ Bolt: Replace DataFrame.iterrows() with faster alternatives Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com> Pull #570 google-labs-jules[bot] github
30.75
26406199206 fix-elasticity clear up commnet Pull #522 joehart2001 github
30.31
26406167990 fix-elasticity clear up commnet push joehart2001 github
30.31
26406169078 fix-elasticity Merge a531b9402 into a3e9bf459 Pull #522 web-flow github
30.75
26400906433 main Add metals EoS benchmark (#327) Co-authored-by: Elliott Kasoar <45317199+ElliottKasoar@users.noreply.github.com> push web-flow github
30.75
26332950360 A13_EOS Merge ab8331857 into df4d67b59 Pull #327 web-flow github
30.75
26387018543 bolt/optimize-dataframe-iteration-7621705560263874079 ⚡ Bolt: Replace iterrows with itertuples for faster iteration Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com> Pull #567 google-labs-jules[bot] github
30.75
26354153181 bolt-pandas-itertuples-14578147934914453641 Replace iterrows with itertuples/to_dict for performance Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com> Pull #566 google-labs-jules[bot] github
30.75
26335672707 robust-elasticity Fix elasticity tensor analysis and serialisation Pull #526 joehart2001 github
29.79
26325984529 bolt/optimize-pandas-iteration-7457440406182944128 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)... Pull #565 google-labs-jules[bot] github
30.75
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