Merge branch 'branch-25.08' into java/mapping-as-function

Author: ldematte

.github/CODEOWNERS

@@ -11,13 +11,15 @@ rust/              @rapidsai/cuvs-rust-codeowners
 docs/              @rapidsai/cuvs-docs-codeowners
 
 #cmake code owners
-CMakeLists.txt     @rapidsai/cuvs-cmake-codeowners
-**/cmake/          @rapidsai/cuvs-cmake-codeowners
-*.cmake            @rapidsai/cuvs-cmake-codeowners
+CMakeLists.txt                  @rapidsai/cuvs-cmake-codeowners
+**/cmake/                       @rapidsai/cuvs-cmake-codeowners
+*.cmake                         @rapidsai/cuvs-cmake-codeowners
+cpp/scripts/run-cmake-format.sh @rapidsai/cuvs-cmake-codeowners
 
 #CI code owners
 /.github/                @rapidsai/ci-codeowners
 /ci/                     @rapidsai/ci-codeowners
+/.shellcheckrc           @rapidsai/ci-codeowners
 
 #packaging code owners
 /.pre-commit-config.yaml @rapidsai/packaging-codeowners

.github/workflows/build.yaml

@@ -48,10 +48,6 @@ jobs:
       node_type: "gpu-l4-latest-1"
       script: "ci/build_rust.sh"
       sha: ${{ inputs.sha }}
-  rust-publish:
-    needs: rust-build
-    secrets: inherit
-    uses: ./.github/workflows/publish-rust.yaml
   go-build:
     needs: cpp-build
     secrets: inherit
@@ -98,6 +94,10 @@ jobs:
       date: ${{ inputs.date }}
       sha: ${{ inputs.sha }}
       skip_upload_pkgs: libcuvs-template
+  rust-publish:
+    needs: [rust-build, upload-conda]
+    secrets: inherit
+    uses: ./.github/workflows/publish-rust.yaml
   docs-build:
     if: github.ref_type == 'branch'
     needs: python-build

.pre-commit-config.yaml

@@ -128,7 +128,6 @@ repos:
         rev: v0.10.0.1
         hooks:
           - id: shellcheck
-            args: ["--severity=warning"]
 
 default_language_version:
       python: python3

.shellcheckrc

@@ -0,0 +1,2 @@
+# Disable file checks (otherwise every use of `gha-tools` will get flagged)
+disable=SC1091

README.md

@@ -90,17 +90,12 @@ cuVS comes with pre-built packages that can be installed through [conda](https:/
 It is recommended to use [mamba](https://conda.github.io/conda-libmamba-solver/user-guide/) to install the desired packages. The following command will install the Python package. You can substitute `cuvs` for any of the packages in the table above:
 
 ```bash
-conda install -c conda-forge -c nvidia -c rapidsai cuvs
+conda install -c rapidsai -c conda-forge cuvs
 ```
 
 The cuVS Python package can also be `installed through pip <https://docs.rapids.ai/install#pip>`_.
 
-For CUDA 11 packages:
-```bash
-pip install cuvs-cu11 --extra-index-url=https://pypi.nvidia.com
-````
-
-And CUDA 12 packages:
+For CUDA 12 packages:
 ```bash
 pip install cuvs-cu12 --extra-index-url=https://pypi.nvidia.com
 ```
@@ -109,7 +104,7 @@ pip install cuvs-cu12 --extra-index-url=https://pypi.nvidia.com
 If installing a version that has not yet been released, the `rapidsai` channel can be replaced with `rapidsai-nightly`:
 
 ```bash
-conda install -c conda-forge -c nvidia -c rapidsai-nightly cuvs=25.08
+conda install -c rapidsai-nightly -c conda-forge cuvs=25.08
 ```
 
 cuVS also has `pip` wheel packages that can be installed. Please see the [Build and Install Guide](https://docs.rapids.ai/api/cuvs/nightly/build/) for more information on installing the available cuVS packages and building from source.