[NO MRG, TST] Apply XGBoost patch for using RMM's CCCL

[jakirkham]

Tries out this upstream change to use RMM's CCCL: dmlc/xgboost#11353 ( based on dmlc/xgboost#11351 )

As this feedstock does not currently use RMM, this should help validate the patch retains the unpatched behavior unchanged

---

Checklist

• Used a personal fork of the feedstock to propose changes
• Bumped the build number (if the version is unchanged)
• Reset the build number to 0 (if the version changed)
• Re-rendered with the latest conda-smithy (Use the phrase @conda-forge-admin, please rerender in a comment in this PR for automated rerendering)
• Ensured the license file is being packaged.

[conda-forge-admin]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe/meta.yaml) and found it was in an excellent condition.

I do have some suggestions for making it better though...

For recipe/meta.yaml:

• ℹ️ py-xgboost output has some malformed specs:

• In section host: subpackage_pin _py-xgboost-mutex, libxgboost ==cpu_h_PKG_BUILDNUM
• In section run: subpackage_pin _py-xgboost-mutex, libxgboost ==cpu_h_PKG_BUILDNUM
  py-xgboost-cpu output has some malformed specs:
• In section host: `py-xgboost ==cpu_pyh_PKG_BUILDNUM
• In section run: `py-xgboost ==cpu_pyh_PKG_BUILDNUM
  py-xgboost-gpu output has some malformed specs:
• In section host: `py-xgboost ==cpu_pyh_PKG_BUILDNUM
• In section run: `py-xgboost ==cpu_pyh_PKG_BUILDNUM
  xgboost output has some malformed specs:
• In section host: `py-xgboost ==cpu_pyh_PKG_BUILDNUM
• In section run: `py-xgboost ==cpu_pyh_PKG_BUILDNUM
  r-xgboost output has some malformed specs:
• In section host: subpackage_pin _r-xgboost-mutex, libxgboost ==cpu_h_PKG_BUILDNUM
• In section run: subpackage_pin _r-xgboost-mutex, libxgboost ==cpu_h_PKG_BUILDNUM
  r-xgboost-cpu output has some malformed specs:
• In section host: `r-xgboost ==cpu_rh*_PKG_BUILDNUM
• In section run: `r-xgboost ==cpu_rh*_PKG_BUILDNUM
  r-xgboost-gpu output has some malformed specs:
• In section host: `r-xgboost ==cpu_rh*_PKG_BUILDNUM
• In section run: r-xgboost =*=cpu_r*h*_PKG_BUILDNUM Requirement spec fields should always be space-separated to avoid known issues in conda-build. For example, instead of name =version=build, use name version.* build`.

_{This message was generated by GitHub Actions workflow run https://github.com/conda-forge/conda-forge-webservices/actions/runs/13964488958. Examine the logs at this URL for more detail.}

[jakirkham]

As before this is picking up cccl from the conda-forge package as expected

Snippet below from the Linux ARM CUDA 12.8 build:

-- Found libcudacxx: $PREFIX/lib/cmake/libcudacxx/libcudacxx-config.cmake (found suitable version "2.7.0.0", minimum required is "2.7.0.0")
-- Found Thrust: $PREFIX/lib/cmake/thrust/thrust-config.cmake (found suitable exact version "2.7.0.0")
-- Found CUB: $PREFIX/lib/cmake/cub/cub-config.cmake (found suitable version "2.7.0.0", minimum required is "2.7.0.0")
-- Found CCCL: $PREFIX/lib/cmake/cccl/cccl-config.cmake (found version "2.7.0.0")

IOW the XGBoost patch didn't change anything (as expected)

[jakirkham]

Closing as testing is completed