Add nvjitlink to cuda-toolkit pip extras for cusparse compatibility

[bdice]

Summary

• Add nvjitlink to cuda-toolkit[...] extras in dependencies.yaml to ensure pip installs a version-compatible nvidia-nvjitlink alongside nvidia-cusparse
• Without this, pip may resolve an older nvidia-nvjitlink-cu12 than what nvidia-cusparse-cu12 requires, causing undefined symbol: _nvJitLinkGetErrorLogSize_12_9 at runtime

xref: rapidsai/build-planning#253

[coderabbitai]

📝 Walkthrough

Summary by CodeRabbit

• Chores
  • Updated CUDA toolkit dependencies to include nvjitlink in CUDA 12.x and 13.x environments.

Walkthrough

Updated CUDA toolkit dependency specifications across configuration files to include nvjitlink in CUDA 12.x and 13.x package matrices for both CUDA wheels and library dependencies.

Changes

Cohort / File(s)	Summary
CUDA Toolkit Dependencies dependencies.yaml, python/cuml/pyproject.toml, python/libcuml/pyproject.toml	Added nvjitlink to CUDA toolkit package specifications across CUDA 12.x and 13.x matrices in dependency declarations.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and specifically describes the main change: adding nvjitlink to cuda-toolkit pip extras for cusparse compatibility.
Description check	✅ Passed	The description is directly related to the changeset, explaining the rationale for adding nvjitlink to cuda-toolkit extras across multiple files.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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[jameslamb]

/merge