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ddmms / ml-peg / 26558243092
31%
main: 30%

Build:
Build:
LAST BUILD BRANCH: update-callbacks
DEFAULT BRANCH: main
Ran 28 May 2026 06:22AM UTC
Jobs 4
Files 18
Run time 1min
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28 May 2026 06:17AM UTC coverage: 30.753%. Remained the same
26558243092

Pull #574

github

google-labs-jules[bot]
⚡ Bolt: [performance improvement] Optimize pandas DataFrame iteration speed

Replaced inefficient `iterrows()` calls with `itertuples(index=False, name=None)` or `to_dict("records")` across various calculation modules to significantly boost data processing speed.

- Modified `ml_peg/calcs/bulk_crystal/elasticity/calc_elasticity.py`
- Modified `ml_peg/calcs/conformers/solvMPCONF196/calc_solvMPCONF196.py`
- Modified `ml_peg/calcs/conformers/MPCONF196/calc_MPCONF196.py`
- Modified `ml_peg/calcs/utils/gscdb138.py`

Co-authored-by: alinelena <3306823+alinelena@users.noreply.github.com>
Pull Request #574: ⚡ Bolt: [performance improvement] Optimize pandas DataFrame iteration speed

290 of 943 relevant lines covered (30.75%)

1.23 hits per line

Jobs
ID Job ID Ran Files Coverage
1 run-3.12 - 26558243092.1 28 May 2026 06:22AM UTC 18
30.75
GitHub Action Run
2 run-3.10 - 26558243092.2 28 May 2026 06:22AM UTC 18
30.75
GitHub Action Run
3 run-3.11 - 26558243092.3 28 May 2026 06:22AM UTC 18
30.75
GitHub Action Run
4 run-3.13 - 26558243092.4 28 May 2026 06:22AM UTC 18
30.75
GitHub Action Run
Source Files on build 26558243092
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