Add support for Python 3.13 (#113)

Contributes to rapidsai/build-planning#120

This PR adds support for Python 3.13.

## Notes for Reviewers

This is part of ongoing work to add Python 3.13 support across RAPIDS.
It temporarily introduces a build/test matrix including Python 3.13, from rapidsai/shared-workflows#268.

A follow-up PR will revert back to pointing at the `branch-25.06` branch of `shared-workflows` once all
RAPIDS repos have added Python 3.13 support.

### This will fail until all dependencies have been updated to Python 3.13

CI here is expected to fail until all of this project's upstream dependencies support Python 3.13.

This can be merged whenever all CI jobs are passing.

Authors:
  - Gil Forsyth (https://github.com/gforsyth)
  - Bradley Dice (https://github.com/bdice)

Approvers:
  - Don Acosta (https://github.com/acostadon)
  - Brad Rees (https://github.com/BradReesWork)
  - Bradley Dice (https://github.com/bdice)

URL: #113

Author: gforsyth

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