Chore(deps): Update numpy requirement from <=2.4.4,>=1.21 to >=1.21,<=2.4.5 (#954)

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>v2.4.5 (May 15, 2026)</h2>
<h1>NumPy 2.4.5 Release Notes</h1>
<p>NumPy 2.4.5 is a patch release that fixes bugs discovered after the
2.4.4
release, has some typing improvements, and maintains infrastructure.</p>
<p>This release supports Python versions 3.11-3.14</p>
<h2>Contributors</h2>
<p>A total of 17 people contributed to this release. People with a
&quot;+&quot; by their
names contributed a patch for the first time.</p>
<ul>
<li>Aleksei Nikiforov</li>
<li>Anarion Zuo +</li>
<li>Ankit Ahlawat</li>
<li>Breno Favaretto +</li>
<li>Charles Harris</li>
<li>Igor Krivenko +</li>
<li>Ijtihed Kilani +</li>
<li>Joren Hammudoglu</li>
<li>Maarten Baert +</li>
<li>Matti Picus</li>
<li>Nathan Goldbaum</li>
<li>Praneeth Kodumagulla +</li>
<li>Ralf Gommers</li>
<li>RoomWithOutRoof +</li>
<li>Sebastian Berg</li>
<li>Warren Weckesser</li>
<li>div +</li>
</ul>
<h2>Pull requests merged</h2>
<p>A total of 28 pull requests were merged for this release.</p>
<ul>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31093">#31093</a>:
MAINT: Prepare 2.4.x for further development</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31182">#31182</a>:
TYP: fix <code>np.shape</code> assignability issue for python lists (<a
href="https://redirect.github.com/numpy/numpy/issues/31171">#31171</a>)</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31197">#31197</a>:
ENH: Return rank 0 for empty matrices in matrix_rank (<a
href="https://redirect.github.com/numpy/numpy/issues/30422">#30422</a>)</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31198">#31198</a>:
CI/BUG: add native jobs for s390x, fix bug in
<code>pack_inner</code>...</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31199">#31199</a>:
BUG: f2py map complex_long_double to NPY_CLONGDOUBLE</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31205">#31205</a>:
MAINT: f2py: Stop setting re._MAXCACHE to 50.</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31206">#31206</a>:
BUG: fix heap buffer overflow in timedelta to string casts</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31207">#31207</a>:
MAINT: Rename ppc64le and s390x workflow (<a
href="https://redirect.github.com/numpy/numpy/issues/31121">#31121</a>)</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31208">#31208</a>:
BUG: Fix matvec/vecmat in-place aliasing (out=input produces...</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31209">#31209</a>:
TYP: <code>tile</code>: accept numpy scalars and arrays as second
argument...</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31211">#31211</a>:
DEP: Undo deprecation for np.dtype() signature used by old
pickles...</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31212">#31212</a>:
REV: Manual revert of float16 svml use (<a
href="https://redirect.github.com/numpy/numpy/issues/31178">#31178</a>)</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31222">#31222</a>:
TYP: <code>ix_</code> fix for boolean and non-1d input (<a
href="https://redirect.github.com/numpy/numpy/issues/31218">#31218</a>)</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31329">#31329</a>:
BUG: incorrect temp elision for new-style (NEP 43) user-defined...</li>
<li><a
href="https://redirect.github.com/numpy/numpy/pull/31330">#31330</a>:
TYP: fix sliding_window_view axis parameter typing</li>
</ul>
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</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>
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</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/numpy/numpy/commit/26e81854b03fea36ac2b21e3158756fdd40f19bb"><code>26e8185</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31441">#31441</a>
from charris/prepare-2.4.5</li>
<li><a
href="https://github.com/numpy/numpy/commit/573110c57cf0fcb8b8c922c4d4334ed6eb779727"><code>573110c</code></a>
REL: Prepare for the NumPy 2.4.5 release.</li>
<li><a
href="https://github.com/numpy/numpy/commit/be6123aecff71ac70f304347fcf066ba328d7e4e"><code>be6123a</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31426">#31426</a>
from jorenham/backport-31425</li>
<li><a
href="https://github.com/numpy/numpy/commit/a286f52cfc7411deb39de391dfc7164070e19365"><code>a286f52</code></a>
TYP: Fix <code>DTypeLike</code> runtime type-checker support</li>
<li><a
href="https://github.com/numpy/numpy/commit/f880727ca1ef2aa784cf9986ac662744e3302cef"><code>f880727</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31404">#31404</a>
from charris/backport-31399</li>
<li><a
href="https://github.com/numpy/numpy/commit/626d469496ba909ad73acb0f3744c72027244c4e"><code>626d469</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31402">#31402</a>
from charris/backport-31397</li>
<li><a
href="https://github.com/numpy/numpy/commit/a42bd48565ae12a2258b343c6250a3a7ab22712c"><code>a42bd48</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31401">#31401</a>
from charris/backport-31396</li>
<li><a
href="https://github.com/numpy/numpy/commit/207ad05615ca78c0b39ee1f02985c6b34d2098c3"><code>207ad05</code></a>
TYP: <code>_NestedSequence</code> type parameter default to work around
a mypy issue (<a
href="https://redirect.github.com/numpy/numpy/issues/3">#3</a>...</li>
<li><a
href="https://github.com/numpy/numpy/commit/309b6373180a2320a23eecfdb8609c7746eda8a9"><code>309b637</code></a>
BUG: exclude <strong>pycache</strong> directories from wheels (<a
href="https://redirect.github.com/numpy/numpy/issues/31397">#31397</a>)</li>
<li><a
href="https://github.com/numpy/numpy/commit/8ded93cba4c57708fe7ead08d2d6f0045952f6d4"><code>8ded93c</code></a>
BUG: Avoid UB in safe_[add,sub,mul] helpers (<a
href="https://redirect.github.com/numpy/numpy/issues/31396">#31396</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/numpy/numpy/compare/v1.21.0...v2.4.5">compare
view</a></li>
</ul>
</details>
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pyproject.toml

@@ -42,7 +42,7 @@ classifiers = [
 ]
 dependencies = [
     # --- Core dependencies ---
-    "numpy>=1.21,<=2.4.4",
+    "numpy>=1.21,<=2.4.5",
     'pydantic>=2.11,<=2.13.3',
     'pytorch_lightning>=2.2,<=2.6.1,!=2.6.2,!=2.6.3',
     # lightning currently does not support torch 2.10.0