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enforce a floor on libnvjitlink, build wheels with CUDA 13.0.x, test wheels against mix of CTK versions (rapidsai#21671)
Contributes to rapidsai/build-planning#257
* builds CUDA 13 wheels with the 13.0 CTK
* ensures wheels ship with a runtime dependency of `nvidia-nvjitlink>={whatever-minor-version-they-were-built-against}`
Contributes to rapidsai/build-planning#256
* updates wheel tests to cover a range of CTK versions (we previously, accidentally, were only testing the latest 12.x and 13.x)
Other changes
* ensures conda packages also take on floors of `libnvjitlink>={whatever-version-they-were-built-against}`
## Notes for Reviewers
### How I tested this
Used wheels from similar PRs from RAPIDS dependencies, at build and test time:
* rapidsai/kvikio#942
* rapidsai/rmm#2270
* rapidsai/ucxx#604
Authors:
- James Lamb (https://github.com/jameslamb)
Approvers:
- Kyle Edwards (https://github.com/KyleFromNVIDIA)
- Bradley Dice (https://github.com/bdice)
URL: rapidsai#21671
Copy file name to clipboardExpand all lines: python/libcudf/pyproject.toml
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@@ -73,6 +73,6 @@ requires = [
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"librmm==26.4.*,>=0.0.0a0",
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"ninja",
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"nvidia-libnvcomp==5.1.0.21",
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"nvidia-nvjitlink>=13.0",
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"nvidia-nvjitlink>=13.0,<14",
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"rapids-logger==0.2.*,>=0.0.0a0",
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] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
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