Merge branch 'branch-25.06' into fix_pyg_link

Author: acostadon

.github/workflows/build.yaml

@@ -37,5 +37,5 @@ jobs:
       container_image: "rapidsai/ci-conda:latest"
       date: ${{ inputs.date }}
       node_type: "gpu-l4-latest-1"
-      run_script: "ci/build_docs.sh"
+      script: "ci/build_docs.sh"
       sha: ${{ inputs.sha }}

.github/workflows/pr.yaml

@@ -44,7 +44,7 @@ jobs:
       node_type: "gpu-l4-latest-1"
       arch: "amd64"
       container_image: "rapidsai/ci-conda:latest"
-      run_script: "ci/build_docs.sh"
+      script: "ci/build_docs.sh"
   telemetry-summarize:
     runs-on: ubuntu-latest
     needs: pr-builder

.pre-commit-config.yaml

@@ -7,7 +7,7 @@ repos:
       - id: verify-alpha-spec
       - id: verify-copyright
   - repo: https://github.com/rapidsai/dependency-file-generator
-    rev: v1.17.0
+    rev: v1.18.1
     hooks:
       - id: rapids-dependency-file-generator
         args: ["--clean"]

docs/cugraph-docs/source/installation/getting_cugraph.md

@@ -45,7 +45,7 @@ conda install -c rapidsai -c conda-forge -c nvidia cugraph cuda-version=12.8
 
 Alternatively, use `cuda-version=11.8` for packages supporting CUDA 11.
 
-Note: This conda installation only applies to Linux and Python versions 3.10/3.11/3.12.
+Note: This conda installation only applies to Linux and Python versions 3.10/3.11/3.12/3.13.
 
 <br>
 

docs/cugraph-docs/source/installation/source_build.md

@@ -177,7 +177,7 @@ Run either the C++ or the Python tests with datasets
    make test
    ```
 
-Note: This conda installation only applies to Linux and Python versions 3.10, 3.11, and 3.12.
+Note: This conda installation only applies to Linux and Python versions 3.10, 3.11, 3.12, and 3.13.
 
 ### (OPTIONAL) Set environment variable on activation
 

docs/cugraph-docs/source/tutorials/basic_cugraph.md

@@ -5,7 +5,7 @@
 CuGraph is part of [Rapids](https://docs.rapids.ai/user-guide) and has the following system requirements:
  * NVIDIA GPU, Volta architecture or later, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+
  * CUDA 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, 12.5, or 12.8
- * Python version 3.10, 3.11, or 3.12
+ * Python version 3.10, 3.11, 3.12, or 3.13
  * NetworkX >= version 3.3 or newer in order to use use [NetworkX Configs](https://networkx.org/documentation/stable/reference/backends.html#module-networkx.utils.configs) **This is required for use of nx-cuGraph, [see below](#cugraph-using-networkx-code).**
 
 ## Installation

docs/cugraph-docs/source/wholegraph/installation/source_build.md

@@ -176,7 +176,7 @@ Run either the C++ or the Python tests with datasets
     ```
 
 
-Note: This conda installation only applies to Linux and Python versions 3.10, 3.11, and 3.12.
+Note: This conda installation only applies to Linux and Python versions 3.10, 3.11, 3.12, and 3.13.
 
 ## Creating documentation