xixu-me/scps
1
0 Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

build(deps): update numpy requirement from >=1.24 to >=2.5.3 in /skills/earnings-preview #3

Closed
xixu-me wants to merge 0 commits from dependabot/pip/skills/earnings-preview/numpy-gte-2.5.3 into main
pull from: dependabot/pip/skills/earnings-preview/numpy-gte-2.5.3
merge into: xixu-me:main
Conversation 0 Commits - Files Changed -
+1 -1
xixu-me commented 2026-10-08 07:50:36 +00:00
Owner
Copy link
Copy source

Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

v2.5.3 (Sep 6, 2026)

NumPy 2.5.3 Release Notes

The NumPy 2.5.3 is a patch release that fixes bugs discovered after the 2.5.2 release. Apart from the usual bug and maintenance work, there are a number of StringDType related fixes for problems discovered during the ongoing string work in the main branch.

This release supports Python versions 3.12-3.15

Changes

  • Casting a fixed-width byte string array (np.bytes_) to StringDType now raises TypeError when the bytes are not valid UTF-8. Previously the invalid bytes were stored as-is and later caused undefined behavior in string operations.

    (gh-32296)

  • MaskedArray._fill_value would become stale when ufuncs that change dtype left the result holding a fill_value typed for the old dtype. The mismatch was silent until something later called _check_fill_value, such as .view(), and then a TypeError would be raised. Now, when the copied fill_value is no longer valid for the new dtype, fall back to the default fill_value for that dtype instead of propagating the stale value. This may raise a ComplexWarning if the fill_value is complex and the new dtype is real.

    (gh-32423)

Contributors

A total of 9 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Iason Krommydas
  • James Davies +
  • Joren Hammudoglu
  • Maanas Arora
  • Matti Picus
  • Nathan Goldbaum
  • Shikhar Goel +
  • Yeonho Kim +

Pull requests merged

A total of 27 pull requests were merged for this release.

  • #32235: MAINT: Prepare 2.5.x for further development

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits
  • dd88c0c Merge pull request #32511 from charris/prepare-2.5.3
  • edcac6a REL: Prepare for the NumPy 2.5.3 release
  • fd4d908 Merge pull request #32509 from charris/backport-32496
  • 65bb1da BUG: fix crash in ufunc.resolve_dtypes with a Python scalar type (#32496)
  • 294956e Merge pull request #32506 from charris/backport-32503
  • 26428d9 DOC: fix scipy docs links in intersphinx mapping (#32507)
  • 5fab1cb DOC: use static scipy doc site for intershpinx (#32503)
  • 7beed2f Merge pull request #32481 from ngoldbaum/stringdtype-backport
  • 8972f70 Merge pull request #32478 from charris/backport-32466
  • ab1b589 Merge pull request #32477 from charris/backport-32423
  • Additional commits viewable in compare view

GitHub 来源：https://github.com/xixu-me/scps/pull/9
作者：dependabot[bot] · 创建时间：2026-10-08T07:31:03Z
GitHub PR 状态：已合并，合并提交 67d4b51536

Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/numpy/numpy/releases">numpy's releases</a>.</em></p> <blockquote> <h2>v2.5.3 (Sep 6, 2026)</h2> <h1>NumPy 2.5.3 Release Notes</h1> <p>The NumPy 2.5.3 is a patch release that fixes bugs discovered after the 2.5.2 release. Apart from the usual bug and maintenance work, there are a number of StringDType related fixes for problems discovered during the ongoing string work in the main branch.</p> <p>This release supports Python versions 3.12-3.15</p> <h2>Changes</h2> <ul> <li> <p>Casting a fixed-width byte string array (<code>np.bytes_</code>) to <code>StringDType</code> now raises <code>TypeError</code> when the bytes are not valid UTF-8. Previously the invalid bytes were stored as-is and later caused undefined behavior in string operations.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/32296">gh-32296</a>)</p> </li> <li> <p><code>MaskedArray._fill_value</code> would become stale when ufuncs that change dtype left the result holding a fill_value typed for the old dtype. The mismatch was silent until something later called <code>_check_fill_value</code>, such as <code>.view()</code>, and then a <code>TypeError</code> would be raised. Now, when the copied fill_value is no longer valid for the new dtype, fall back to the default fill_value for that dtype instead of propagating the stale value. This may raise a <code>ComplexWarning</code> if the fill_value is complex and the new dtype is real.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/32423">gh-32423</a>)</p> </li> </ul> <h2>Contributors</h2> <p>A total of 9 people contributed to this release. People with a &quot;+&quot; by their names contributed a patch for the first time.</p> <ul> <li>Charles Harris</li> <li>Iason Krommydas</li> <li>James Davies +</li> <li>Joren Hammudoglu</li> <li>Maanas Arora</li> <li>Matti Picus</li> <li>Nathan Goldbaum</li> <li>Shikhar Goel +</li> <li>Yeonho Kim +</li> </ul> <h2>Pull requests merged</h2> <p>A total of 27 pull requests were merged for this release.</p> <ul> <li><a href="https://redirect.github.com/numpy/numpy/pull/32235">#32235</a>: MAINT: Prepare 2.5.x for further development</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst">numpy's changelog</a>.</em></p> <blockquote> <p>This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the <code>numpy/numpy-release &lt;https://github.com/numpy/numpy-release&gt;</code>__ repository.</p> <p>The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:<code>general release guide &lt;prepare_release&gt;</code>.</p> <h1>Facility preparation</h1> <p>Before beginning to make a release, use the <code>requirements/*_requirements.txt</code> files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:</p> <ul> <li>Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.</li> </ul> <h1>Prior to release</h1> <h2>Add/drop Python versions</h2> <p>When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in <code>pyproject.toml</code>. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.</p> <h2>Backport pull requests</h2> <p>Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.</p> <h2>Update 2.4.0 milestones</h2> <p>Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.</p> <h2>Check the numpy-release repo</h2> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/numpy/numpy/commit/dd88c0c19b54ad9ed3533224221285bf0873249a"><code>dd88c0c</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/32511">#32511</a> from charris/prepare-2.5.3</li> <li><a href="https://github.com/numpy/numpy/commit/edcac6acc392f4010933ee83e8a4769a7cfe92c5"><code>edcac6a</code></a> REL: Prepare for the NumPy 2.5.3 release</li> <li><a href="https://github.com/numpy/numpy/commit/fd4d908aff89773ead13f7c6a0ab31153f14439e"><code>fd4d908</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/32509">#32509</a> from charris/backport-32496</li> <li><a href="https://github.com/numpy/numpy/commit/65bb1da13d0ee784be84d173b86784f0d64bdaca"><code>65bb1da</code></a> BUG: fix crash in ufunc.resolve_dtypes with a Python scalar type (<a href="https://redirect.github.com/numpy/numpy/issues/32496">#32496</a>)</li> <li><a href="https://github.com/numpy/numpy/commit/294956e85dfaea149aada1278c2ed6be0f6f28c8"><code>294956e</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/32506">#32506</a> from charris/backport-32503</li> <li><a href="https://github.com/numpy/numpy/commit/26428d9a3f5ab4f604b326347e3a9c6dcc00c1cb"><code>26428d9</code></a> DOC: fix scipy docs links in intersphinx mapping (<a href="https://redirect.github.com/numpy/numpy/issues/32507">#32507</a>)</li> <li><a href="https://github.com/numpy/numpy/commit/5fab1cbc6aa9e119d9f931243a56c6fbca989476"><code>5fab1cb</code></a> DOC: use static scipy doc site for intershpinx (<a href="https://redirect.github.com/numpy/numpy/issues/32503">#32503</a>)</li> <li><a href="https://github.com/numpy/numpy/commit/7beed2f7e9a24e493a04ff7e2eb1db0d7f9c50e6"><code>7beed2f</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/32481">#32481</a> from ngoldbaum/stringdtype-backport</li> <li><a href="https://github.com/numpy/numpy/commit/8972f70798a2ba1bb4557157982fd6001906f993"><code>8972f70</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/32478">#32478</a> from charris/backport-32466</li> <li><a href="https://github.com/numpy/numpy/commit/ab1b58902a868d4151ef3cf8dbeb91d8a1924fa4"><code>ab1b589</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/32477">#32477</a> from charris/backport-32423</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.24.0...v2.5.3">compare view</a></li> </ul> </details> <br /> --- GitHub 来源：https://github.com/xixu-me/scps/pull/9 作者：dependabot[bot] · 创建时间：2026-10-08T07:31:03Z GitHub PR 状态：已合并，合并提交 67d4b515361eee3654b938dd95852e16f0779786 <!-- github-archive:4783432646 -->
xixu-me added the dependenciespython labels 2026-10-08 07:50:36 +00:00
xixu-me added 1 commit 2026-10-08 07:53:02 +00:00
build(deps): update numpy requirement in /skills/earnings-preview 8930ea7836 
Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.24.0...v2.5.3)

---
updated-dependencies:
- dependency-name: numpy
  dependency-version: 2.5.3
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
xixu-me force-pushed dependabot/pip/skills/earnings-preview/numpy-gte-2.5.3 from 3b9b6b63d8 to 8930ea7836 2026-10-08 07:53:02 +00:00 Compare
xixu-me closed this pull request 2026-10-08 07:56:15 +00:00
xixu-me deleted branch dependabot/pip/skills/earnings-preview/numpy-gte-2.5.3 2026-10-08 07:56:16 +00:00

Pull request closed

This pull request cannot be reopened because the branch was deleted.
Sign in to join this conversation.
Reviewers
No Reviewers
Labels
Clear labels
bug
Something isn't working
 dependencies
Pull requests that update a dependency file
 documentation
Improvements or additions to documentation
 duplicate
This issue or pull request already exists
 enhancement
New feature or request
 github_actions
Pull requests that update GitHub Actions code
 good first issue
Good for newcomers
 help wanted
Extra attention is needed
 invalid
This doesn't seem right
 javascript
Pull requests that update javascript code
 python
Pull requests that update python code
 question
Further information is requested
 wontfix
This will not be worked on
No labels dependencies python
Milestone
No items
No Milestone
Projects
Clear projects
No projects
Assignees
Clear assignees
xixu-me (Xi Xu)
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: xixu-me/scps#3