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Hi everyone! I noticed a lot of Pull Requests, particularly concerning 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:
Increases coverage by adding 1 test file: tests/test_observable/test_combinethrottle.py.
Adds comprehensive tests for the combine_throttle operator.
Identifies potential issues in the implementation of combine_throttle, highlighting discrepancies in emitted tuples and behavior with asyncio.Future.
On top of that: If you check the PR you will see that CodeBeaver does not only go for coverage - it also adds all the edge cases it can think of (we make it iterate 3 times on that alone).
Hi everyone! I noticed a lot of Pull Requests, particularly concerning 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:
Add combine_throttle operator - Unit Tests
that adds comprehensive tests to the last Pull Request that was opened here: Add combine_throttle operator.
What the PR demonstrates:
tests/test_observable/test_combinethrottle.py
.combine_throttle
operator.combine_throttle
, highlighting discrepancies in emitted tuples and behavior withasyncio.Future
.On top of that: If you check the PR you will see that CodeBeaver does not only go for coverage - it also adds all the edge cases it can think of (we make it iterate 3 times on that alone).
How it works:
CodeBeaver analyzes your code changes in PRs:
Next steps
If this interests the maintainer team, they can
I'm also happy to:
Let me know what you think! Happy to adapt this approach based on the project's needs.
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