Add numba-cuda-mlir docs, cuda-core/cuda-cccl deps, cuda-toolkit extras

[leofang]

Summary

• Mention numba-cuda-mlir in README.md and DESCRIPTION.rst (above the existing numba.cuda entry)
• Add cuda-core~=1.0.0 and cuda-cccl~=1.0.0 as required dependencies of the cuda-python metapackage (closes Add cuda-core as a required dependency to cuda-python #148, closes Add cuda-cccl as a required dependency to cuda-python #691)
• Add bare cuda-toolkit==13.* to cuda-bindings[all] and remove cudla from the component-specific extras (closes RFC: Make our cuda-* packages depend on the new cuda-toolkit metapackage without version constraints? #903)
• Add cuda-toolkit==12.* / cuda-toolkit==13.* to cuda-core's cu12 / cu13 extras

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[leofang]

I noticed this change sneaked in from PR #2034. This is a bit problematic because cuDLA is not a universally available component in the CTK, and the majority of users cannot use it but they'd see this at install time:

WARNING: cuda-toolkit 13.1.2.0 does not provide the extra 'cudla'

We should just document that DLA users need to install cuDLA if they haven't already (which I suspect is not the case, because there should be a system CTK already installed on embedded devices).

[rwgk]

I approved this knowingly, after discovering that the meta package has the filters we need.

I missed that warning message though. If we want to get rid of it, we have do add the conditions similar to what we're doing under cuda_pathfinder/pyproject.toml:

    "nvidia-cudla; platform_system == 'Linux' and platform_machine == 'aarch64'",