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Bump sphinx from 1.8.1 to 9.1.0 #152

Bump sphinx from 1.8.1 to 9.1.0

Bump sphinx from 1.8.1 to 9.1.0 #152

---
name: autoclose comment
# Post comment on PRs when labeled with "status: autoclose candidate".
# Based on scikit-learn's autoclose bot at
# https://github.com/scikit-learn/scikit-learn/blob/main/.github/workflows/autoclose-comment.yml
permissions:
contents: read
pull-requests: write
on:
pull_request_target:
types:
- labeled
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GH_REPO: ${{ github.repository }}
PULL_REQUEST_NUMBER: ${{ github.event.pull_request.number }}
jobs:
post_comment:
name: post_comment
if: "${{ contains(github.event.label.name, 'status: autoclose candidate') }}"
runs-on: ubuntu-latest
steps:
- name: comment on potential autoclose
run: |
gh api \
--method POST \
-H "Accept: application/vnd.github+json" \
-H "X-GitHub-Api-Version: 2022-11-28" \
/repos/$GH_REPO/issues/$PULL_REQUEST_NUMBER/comments \
-f "body=$BODY"
env:
BODY: >
⏰ This pull request might be automatically closed in two weeks from now.
Thank you for your contribution to Matplotlib and for the effort you
have put into this PR. This pull request does not yet meet the
quality and clarity standards needed for an effective review.
Project maintainers have limited time for code reviews, and our goal
is to prioritize well-prepared contributions to keep Matplotlib
maintainable.
Matplotlib maintainers cannot provide one-to-one guidance on this PR.
However, if you ask focused, well-researched questions, a community
member may be willing to help. 💬
To increase the chance of a productive review:
- Use [the template provided in the PR
description](https://github.com/matplotlib/matplotlib/blob/main/.github/PULL_REQUEST_TEMPLATE.md)
and fill it out as completely as possible, especially the summary and AI Disclosure sections.
- Make sure your PR conforms to our [PR
checklist](https://matplotlib.org/devdocs/devel/pr_guide.html#summary-for-pull-request-authors).
As the author, you are responsible for driving this PR, which entails doing
necessary background research as well as presenting its context and your
thought process. If you are a new contributor, or do not know how to
fulfill these requirements, we recommend that you familiarize
yourself with Matplotlib's
[development conventions](https://matplotlib.org/devdocs/devel/index.html)
or engage with the community via our [Discourse](https://discourse.matplotlib.org/)
or one of our [meetings](https://scientific-python.org/calendars/)
before submitting code.
If you substantially improve this PR within two weeks, leave a comment
and a team member may remove the `status: autoclose candidate` label and the
PR stays open. Cosmetic changes or incomplete fixes will not be
sufficient. Maintainers will assess improvements on their own
schedule. Please do not ping (`@`) maintainers.