Ensure ninja is used in wheel builds 🥷

[jameslamb]

Description

We found recently that some projects' wheel builds were falling back to GNU Make because ninja was (unintentionally) not available in their build environments.

Noticed by the presence of lines like this in CMake output:

*** Building project with Unix Makefiles...

We should audit all of the RAPIDS libraries for the following:

• ninja being used in wheel-building environments
• ninja.make-fallback = false in [tool.scikit-build] in pyproject.toml (to raise an error if ninja is not available)
• in dependencies.yaml, output-types: should almost always contains either both of pyproject and requirements or neither
  • there are some expections: disallow fallback to Make in wheel builds rmm#1804 (comment)

Benefits of this work

• faster wheel builds

Approach

These can be done in any order.

libraries about to enter code freeze

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1. cudf (WIP: disallow fallback to Make in Python builds cudf#17894)
2. dask-cuda (no changes required ... pure-Python, dependencies.yaml looks fine)
3. rmm (disallow fallback to Make in wheel builds rmm#1804)
4. raft (WIP: disallow fallback to Make in Python builds raft#2563)
5. ucx-py (no changed required ... pure-Python, dependencies.yaml looks fine)

others

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1. cucim (WIP: raise setuptools floor to 61.0.0, other small dependencies cleanup cucim#820)
2. cugraph (Build and test with CUDA 12.8.0 cugraph#4896)
3. cugraph-gnn
4. cuml (WIP: disallow fallback to Make in wheel builds cuml#6286)
5. cuopt
6. cuspatial (WIP: disallow fallback to Make in Python builds cuspatial#1529)
7. cuvs (WIP: disallow fallback to Make in Python builds cuvs#636)
8. kvikio (WIP: disallow fallback to Make in Python builds kvikio#612)
9. nx-cugraph (include all pyproject dependencies in 'requirements' output nx-cugraph#75)
10. pynvjitlink
11. ucxx (WIP: disallow fallback to Make, add devcontainers CI ucxx#363)

Notes

related: #108

[jameslamb]

Just reviewed all of these libraries, happy to say that all but cuGraph are successfully building with Ninja today. So the changes for this issue will just be minor cleanup and a bit of added protection against this bug re-occurring.

Given that and where we are in the current release cycle, I'm going to target this issue and the PRs at branch-25.04.

[jakirkham]

Thanks James! 🙏

Since we are looking, can we confirm the same is true for Conda?

[bdice]

We can check on conda too, just to be sure, but I think we're in good shape on that front.