Add result for InfCode(Tokfinity)

[PeteWongggg]

Overview

Hi SWE-bench Team,

Below is the InfCode(Tokfinity) submission for SWE-bench Verified. Please refer to the README for more details.
Many thanks.

Results

Submission summary for 20251029_InfCode on SWE-bench verified split
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Resolved 397 instances (79.4%)
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Resolved by Repository
- astropy/astropy: 15/22 (68.18%)
- django/django: 199/231 (86.14%)
- matplotlib/matplotlib: 27/34 (79.41%)
- mwaskom/seaborn: 2/2 (100%)
- pallets/flask: 1/1 (100%)
- psf/requests: 8/8 (100%)
- pydata/xarray: 19/22 (86.36%)
- pylint-dev/pylint: 3/10 (30%)
- pytest-dev/pytest: 17/19 (89.47%)
- scikit-learn/scikit-learn: 30/32 (93.75%)
- sphinx-doc/sphinx: 15/44 (34.09%)
- sympy/sympy: 61/75 (81.33%)
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Resolved by Time
- 2013: 3/3 (100.0%)
- 2014: 2/2 (100.0%)
- 2015: 1/1 (100.0%)
- 2016: 2/2 (100.0%)
- 2017: 15/16 (93.75%)
- 2018: 19/24 (79.16%)
- 2019: 86/98 (87.76%)
- 2020: 78/108 (72.22%)
- 2021: 62/86 (72.09%)
- 2022: 82/102 (80.39%)
- 2023: 47/58 (81.03%)

Checklist

• Is a pass@1 submission (does not attempt the same task instance more than once)
• Does not use SWE-bench test knowledge (PASS_TO_PASS, FAIL_TO_PASS)
• Does not use the hints field in SWE-bench
• Does not have web-browsing OR has taken steps to prevent lookup of SWE-bench solutions via web-browsing

[john-b-yang]

Trajectories and logs were not uploaded. Added invalid label, please remove and add label revisit once you've fixed your submission.

[PeteWongggg]

Hi @john-b-yang ,

Thank you for the earlier feedback. I realized that I had not fully understood the submission workflow yesterday — we initially placed the trajectories and logs in our AWS bucket instead of including them directly in the PR. We’ve now added all the required files and updated the PR accordingly.

Sorry for taking your time, and we really appreciate your patience，and it seems we don’t have permission to modify the labels in this repository.
So，when you have a moment, could you please take another look? Thanks again for your help!

[john-b-yang]

That's ok. Please upload your predictions in a preds.json or all_preds.jsonl file as well.

[PeteWongggg]

Hi @john-b-yang ,

Thanks again for the earlier guidance. We’ve now added the missing preds.json file to the PR. Thank you for your time and patience!

[PeteWongggg]

Hi @john-b-yang
Sorry to bother you again. We have now uploaded the missing files, including both all_preds.json and preds.json formats. We also updated the link to our recently published report, which is now available on arXiv.

We sincerely hope you could take a moment to check our latest submission when you have time. Thank you!