Update CuPy and NumPy dependency specs

[bdice]

Contributes to rapidsai/build-planning#279

RAPIDS is taking on requirements cupy>=14.0.1,!=14.1.0 and numpy>=2.0. Wheel dependencies on cupy-cuda12x and cupy-cuda13x now use the [ctk] extra.

See the linked issue for details.

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📥 Commits

Reviewing files that changed from the base of the PR and between 71306ec and e1e43ee.

📒 Files selected for processing (13)

• conda/environments/all_cuda-129_arch-aarch64.yaml
• conda/environments/all_cuda-129_arch-x86_64.yaml
• conda/environments/all_cuda-133_arch-aarch64.yaml
• conda/environments/all_cuda-133_arch-x86_64.yaml
• conda/environments/bench_ann_cuda-129_arch-aarch64.yaml
• conda/environments/bench_ann_cuda-129_arch-x86_64.yaml
• conda/environments/bench_ann_cuda-133_arch-aarch64.yaml
• conda/environments/bench_ann_cuda-133_arch-x86_64.yaml
• conda/recipes/cuvs-bench-cpu/recipe.yaml
• conda/recipes/cuvs-bench/recipe.yaml
• conda/recipes/cuvs/recipe.yaml
• dependencies.yaml
• python/cuvs/pyproject.toml

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📝 Walkthrough

Summary by CodeRabbit

• Compatibility
  • Updated supported GPU and NumPy version requirements across CUDA environments, recipes, and test settings.
  • Added support for newer CuPy releases and NumPy 2.x, with version limits kept in place where needed.
  • Aligned benchmark and package configurations so installs are more consistent across architectures and CUDA variants.

Walkthrough

Bumps the minimum CuPy version from >=13.6.0 to >=14.0.1 (removing the !=14.0.0 exclusion, retaining !=14.1.0) and raises the minimum NumPy version from >=1.23 to >=2.0,<3.0 across dependencies.yaml, python/cuvs/pyproject.toml, all conda environment YAMLs, and conda recipe files.

Changes

CuPy and NumPy version constraint updates

Layer / File(s)	Summary
Canonical dependency pins dependencies.yaml, python/cuvs/pyproject.toml	dependencies.yaml raises the conda cupy pin to >=14.0.1,!=14.1.0 and the cupy-cuda12x/cupy-cuda13x pyproject pins to >=14.0.1,!=14.1.0 with the [ctk] extra added; numpy raised to >=2.0,<3.0. pyproject.toml mirrors both changes for the main dependency and the test extra.
Propagated conda environment YAMLs conda/environments/all_cuda-129_arch-*.yaml, conda/environments/all_cuda-133_arch-*.yaml, conda/environments/bench_ann_cuda-129_arch-*.yaml, conda/environments/bench_ann_cuda-133_arch-*.yaml	All eight environment files update cupy to >=14.0.1,!=14.1.0; the four all_cuda environments also update numpy to >=2.0,<3.0.
Conda recipes conda/recipes/cuvs-bench/recipe.yaml, conda/recipes/cuvs-bench-cpu/recipe.yaml, conda/recipes/cuvs/recipe.yaml	cuvs-bench recipe updates cupy to >=14.0.1,!=14.1.0; cuvs-bench-cpu and cuvs recipes update numpy to >=2.0,<3.0.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Possibly related PRs

• rapidsai/cuvs#2142: Prior work adding !=14.1.0 CuPy exclusions in the same set of files; this PR extends that by raising the minimum to >=14.0.1 and dropping !=14.0.0.
• rapidsai/cuvs#2146: Directly overlaps with the cupy!=14.1.0 exclusion changes in the same conda environment YAMLs, dependencies.yaml, and pyproject.toml.

Suggested reviewers

• gforsyth
• jameslamb

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly summarizes the main change: updated CuPy and NumPy dependency specs.
Description check	✅ Passed	The description matches the PR and mentions the CuPy, NumPy, and wheel dependency updates.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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