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Hi everyone! I noticed a lot of Pull Requests, particularly in relation to new features and tests.
I'd like to help improve the test coverage using CodeBeaver, an AI agent that I built (it's free for open source!).
To demonstrate what's possible, I've created a PR using CodeBeaver: Raise LookupError in partition_all when length is invalid - Unit Tests
LookupError
I kicked off CodeBeaver from one of your latest Pull Requests: Raise LookupError in partition_all when length is invalid.
toolz/tests/test_itertoolz.py
On top of that: CodeBeaver does not only aim for coverage but also ensures that all edge cases are considered during the testing process.
CodeBeaver analyzes your code changes in PRs:
If this interests the maintainer team, I'm happy to:
Let me know what you think! Happy to adapt this approach based on the project's needs.
About CodeBeaver
The text was updated successfully, but these errors were encountered:
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Hi everyone! I noticed a lot of Pull Requests, particularly in relation to new features and tests.
I'd like to help improve the test coverage using CodeBeaver, an AI agent that I built (it's free for open source!).
To demonstrate what's possible, I've created a PR using CodeBeaver:
Raise
LookupError
in partition_all when length is invalid - Unit TestsI kicked off CodeBeaver from one of your latest Pull Requests: Raise
LookupError
in partition_all when length is invalid.What the PR demonstrates:
toolz/tests/test_itertoolz.py
On top of that: CodeBeaver does not only aim for coverage but also ensures that all edge cases are considered during the testing process.
How it works:
CodeBeaver analyzes your code changes in PRs:
Next steps
If this interests the maintainer team, I'm happy to:
Let me know what you think! Happy to adapt this approach based on the project's needs.
About CodeBeaver
The text was updated successfully, but these errors were encountered: