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Changelog

All notable changes to the PyPI package for SWE-bench (swebench) will be documented in this file.

Prior to version 1.1.0, not all deployed versions are listed, as the PyPI package was going through development and testing. The noteworthy versions and the respective changes that were introduced by that version are included. All versions 1.1.0 onwards are fully listed.

[1.1.0] - 4/15/2024

  • Add env_vars_test field to allow for environment variable assignment for testing scripts.
  • Change pip_packages installation specification to be a list instead of a string.
  • Define PyPI package versioning explicitly for dev, test repos.
  • Fix versioning for astroid dependency in pylint installation script`.
  • Fix minor error in parse_log_pytest_options.
  • Improve clarity + succinctness of logging.
  • Make logging of subprocess args to log file smaller.
  • Remove installation specifications for dbt-core, transformers.
  • Remove redundant declaration of constants.
  • Remove unused versions from installation specifications for dev, test repos.
  • Rewrite swebench.metrics.get_model_report.

[1.0.5] - 4/7/2024

  • Fix log parsing for pydicom, pylint, and requests libraries. 5cb448

[1.0.4] - 4/5/2024

  • Fixed env_list parsing. 5be59d
  • Updated ExecWrapper, LogWrapper logic for harness. 231a2b

[1.0.2] - 4/2/2024

  • Added try/catch around lsof based clean up for run_evaluation.py. 3fb217
  • Fixed get_eval_refs function. 12a287
  • Fixed seaborn log parser. 0372b6

[1.0.1] - 3/31/2024

First working version. We strongly recommend not using versions older than this one.

  • Added logging for failed installations. 58d24d
  • Added missing datasets dependency. 68e89e
  • Reorganized repository to be directly build-able as a PyPI package. 548bdb

[0.6.9 - 0.6.9.2] - 3/31/2024

⚠️ Do NOT use these versions. The PyPI package for these versions was under development. Specifically, some of the evaluation configurations required re-validation. A detailed report for the failures and our recovery from it are detailed in Bug Report 4/5/2024.

[0.6.1] - 3/14/2023

  • Added minor conditions to make run_evaluation more robust (e.g. exit on empty predictions)
  • Added logic that conditions conda link download based on which architecture/platform (e.g. x86, arm) the code is being run on.
  • Added classes to unify subprocess execution arguments + make them more consistent throughout the codebase. Also remove shell=True flag when not necessary.
  • Added deterministic hashing of model name when creating certain testbed paths, defends against conda/conda#12250
  • Fixed key errors across the metrics/ folder.
  • Reorganized harness code. Moved constants into a separate file to improve readability.

[0.4.8] - 11/8/2023

  • run_evaluation can be imported to make running the evaluation harness of SWE-bench more accessible.
  • Add condition in harness/context_manager.py to skip installation if no instructions are provided.
  • Add functionality to check and remove logs with AttributeError or ImportError
  • Add support for HumanEval dataset.
  • Add support for relative paths for log_dir and testbed arguments of evaluation.
  • Minor renaming for metrics/report.py variables.

[0.4.3] - 11/5/2023

Introducing the initial release of SWE-Bench, a novel benchmark that introduces "software engineering as a task". Given a codebase and an issue, a model is tasked with writing a .patch file that addresses the desired changes.

Please view the README.md for information on how to run the repository, and check out our paper, SWE-bench: Can Language Models Resolve Real-World GitHub Issues?, for full details on the project.

We will maintain a leaderboard on the SWE-bench public website. We will release details soon on how to submit your generations for evaluation to be included on the leaderboard.

[< 0.4.3] - 11/4/2023

⚠️ Do NOT use these versions. The PyPI package was under development for these versions and will not work properly.