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edit: @C-Achard, I have changed the scope of this PR to small preparatory fixes. The whole pandas migration to 3.0 will entail more work than I initially estimated. This PR flags just a few examples and adds a useful tool for CI if we decide to push forward with this. We might re-consider if the whole migration will be worth it in the first-place. Pandas 3.0 is relatively new and I doubt that users will rely on it soon, so I think we may be save with restricting to 2.x for the time being, until we eventually refactor the keypoint/dataset management in its entirety. See also tracking issue #3362 |
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Very good start, just a few small comments but nothing blocking I think. Thanks for taking care of this!
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(Note: trying to fix current CI issues seen here in #3363 ) |
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Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
Co-authored-by: Cyril Achard <cyril.achard@epfl.ch>
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@C-Achard Thanks for the review. Good points, I've applied all your suggestions. |
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Pandas released version 3.0 in Jan 2026 which introduces breaking changes for our codebase. It would be useful to address the places where it currently breaks, so we can remove the upperbound version we introduced in #3186. See the full tracking issue #3362, for an overview of related PRs.
Small fixes and flagged patterns:
As exploratory preparation, this PR implements small fixes in preparation to 3.0 migration. Also it flags breaking instances based on a targeted search for these patterns:
Future mode testing:
Also this PR adds a new tool for CI or local testing, using the pandas 2.3 future options that warns for CoW patterns and detects where str type should be included instead of only object.