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Add sphinx-lint pre-commit and some docs fixes #4771

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Nov 25, 2024
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5 changes: 5 additions & 0 deletions .pre-commit-config.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,11 @@ repos:
meta[.]yaml$|
setup[.]cfg$
- id: verify-alpha-spec
- repo: https://github.com/sphinx-contrib/sphinx-lint
rev: v1.0.0
hooks:
- id: sphinx-lint
args: ["--enable=all", "--disable=line-too-long"]
- repo: https://github.com/rapidsai/dependency-file-generator
rev: v1.16.0
hooks:
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2 changes: 1 addition & 1 deletion docs/cugraph/source/api_docs/cugraph-ops/index.rst
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@@ -1,7 +1,7 @@
cugraph-ops API reference
=========================

This page provides a list of all publicly accessible modules, methods and classes through `pylibcugraphops.*` namespace.
This page provides a list of all publicly accessible modules, methods and classes through ``pylibcugraphops.*`` namespace.

.. toctree::
:maxdepth: 2
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
cugraph-ops Python API reference
================================

This page provides a list of all publicly accessible modules, methods and classes through `pylibcugraphops.*` namespace.
This page provides a list of all publicly accessible modules, methods and classes through ``pylibcugraphops.*`` namespace.

.. toctree::
:maxdepth: 2
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2 changes: 1 addition & 1 deletion docs/cugraph/source/nx_cugraph/index.rst
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Expand Up @@ -49,7 +49,7 @@ Users can have GPU-based, large-scale performance **without** changing their fam
+--------------------------------------------------------------------------------------------------------+
| **Run the same code on CPU or GPU** |
| |
| Nothing changes, not even your `import` statements, when going from CPU to GPU. |
| Nothing changes, not even your ``import`` statements, when going from CPU to GPU. |
+--------------------------------------------------------------------------------------------------------+


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2 changes: 1 addition & 1 deletion docs/cugraph/source/nx_cugraph/supported-algorithms.rst
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Expand Up @@ -180,7 +180,7 @@ Algorithms
+---------------------------------------+

+---------------------------+
| **Traversal** |
| **Traversal** |
+===========================+
| bfs_edges |
+---------------------------+
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4 changes: 2 additions & 2 deletions docs/cugraph/source/tutorials/cugraph_blogs.rst
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Expand Up @@ -65,9 +65,9 @@ Academic Papers

* Alex Fender, Brad Rees, Joe Eaton (2022) `Massive Graph Analytics <https://books.google.com/books?hl=en&lr=&id=QspxEAAAQBAJ&oi=fnd&pg=PT8&dq=book:%22Massive+Graph+Analytics%22&ots=3HAGJ0njKO&sig=8e4v0azmzA6LTQNUNgPw-uTLkoc#v=onepage&q&f=false>`_ Bader, D. (Editor) CRC Press

* S Kang, A. Fender, J. Eaton, B. Rees:`Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters`. In IEEE HPEC, Sep. 2020
* S Kang, A. Fender, J. Eaton, B. Rees. `Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters <https://ieeexplore.ieee.org/abstract/document/9286216>`_. In IEEE HPEC, Sep. 2020

* Hricik, T., Bader, D., & Green, O. (2020, September). `Using RAPIDS AI to accelerate graph data science workflows`. In 2020 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-4). IEEE.
* Hricik, T., Bader, D., & Green, O. (2020, September). `Using RAPIDS AI to accelerate graph data science workflows <https://ieeexplore.ieee.org/abstract/document/9286224>`_. In 2020 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-4). IEEE.

* Richardson, B., Rees, B., Drabas, T., Oldridge, E., Bader, D. A., & Allen, R. (2020, August). Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3503-3504).

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