Add support for Python 3.14

.github/workflows/build.yaml

@@ -36,7 +36,7 @@ jobs:
   docs-build:
     if: github.ref_type == 'branch'
     secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/custom-job.yaml@main
+    uses: rapidsai/shared-workflows/.github/workflows/custom-job.yaml@python-3.14
     with:
       arch: "amd64"
       branch: ${{ inputs.branch }}

.github/workflows/pr.yaml

@@ -16,7 +16,7 @@ jobs:
       - checks
       - docs-build
     secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/pr-builder.yaml@main
+    uses: rapidsai/shared-workflows/.github/workflows/pr-builder.yaml@python-3.14
     if: always()
     with:
       needs: ${{ toJSON(needs) }}
@@ -31,14 +31,14 @@ jobs:
   checks:
     secrets: inherit
     needs: telemetry-setup
-    uses: rapidsai/shared-workflows/.github/workflows/checks.yaml@main
+    uses: rapidsai/shared-workflows/.github/workflows/checks.yaml@python-3.14
     with:
       enable_check_generated_files: false
       ignored_pr_jobs: "telemetry-summarize"
   docs-build:
     needs: checks
     secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/custom-job.yaml@main
+    uses: rapidsai/shared-workflows/.github/workflows/custom-job.yaml@python-3.14
     with:
       build_type: pull-request
       node_type: "gpu-l4-latest-1"

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

@@ -167,7 +167,7 @@ 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, 3.12, and 3.13.
+Note: This conda installation only applies to Linux and Python versions 3.10, 3.11, 3.11, 3.13, and 3.14.
 
 ### (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 12.2+
- * Python version 3.10, 3.11, 3.12, or 3.13
+ * Python version 3.10, 3.11, 3.11, 3.13, or 3.14
  * 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

@@ -177,7 +177,7 @@ 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, 3.12, and 3.13.
+Note: This conda installation only applies to Linux and Python versions 3.10, 3.11, 3.11, 3.13, and 3.14.
 
 
 ## Attribution