Bump numpy from 2.4.6 to 2.5.0 (#838)

Bumps [numpy](https://github.com/numpy/numpy) from 2.4.6 to 2.5.0.
<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>v2.5.0 (June 21, 2026)</h2>
<h1>NumPy 2.5.0 Release Notes</h1>
<p>Numpy 2.5.0 is a transitional release. It drops support for Python
3.11,
marking the end of distutils, and expires a large number of deprecations
made
in the 2.0.x release. It also improves free threading and brings sorting
into
compliance with the array-api standard with the addition of descending
sorts.
There is also a fair amount of preparation for Python 3.15, which will
be
supported starting with the first rc.</p>
<p>This release supports Python versions 3.12-3.14.</p>
<h2>Highlights</h2>
<ul>
<li>Distutils has been removed,</li>
<li>Many expired deprecations, see below,</li>
<li>Many new deprecations, see below,</li>
<li>Many static typing improvements.</li>
<li>Improved support for free threading,</li>
<li>Support for descending sorts,</li>
</ul>
<p>See New Features below for other additions.</p>
<h2>Deprecations</h2>
<ul>
<li>
<p><code>numpy.char.chararray</code> is deprecated. Use an
<code>ndarray</code> with a string or bytes dtype instead.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/30605">gh-30605</a>)</p>
</li>
<li>
<p><code>numpy.take</code> now correctly checks if the result can be
cast to the provided
<code>out=out</code> under the same-kind rule. A
<code>DeprecationWarning</code> is given now
when this check fails. Previously, <code>take</code> incorrectly checked
if <code>out</code>
could be cast to the result (the wrong direction). This deprecation also
affects <code>compress</code> and possibly other functions. (Future
versions of NumPy
may tighten the casting check further.)</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/30615">gh-30615</a>)</p>
</li>
<li>
<p>The <code>numpy.char.[as]array</code> functions are deprecated. Use
an
<code>numpy.[as]array</code> with a string or bytes dtype instead.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/30802">gh-30802</a>)</p>
</li>
<li>
<p>Setting the dtype attribute is deprecated because mutating an array
is unsafe
if an array is shared, especially by multiple threads. As an
alternative,
you can create a view with a new dtype via
<code>array.view(dtype=new_dtype)</code>.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/29244">gh-29244</a>)</p>
</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/numpy/numpy/commit/6910b28fc12f4c3e821f315e24c51a6a2d89ba49"><code>6910b28</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31706">#31706</a>
from charris/prepare-2.5.0-release</li>
<li><a
href="https://github.com/numpy/numpy/commit/e0acd2bef5dc193eeec3b2d6b7ea9fc30fd7e263"><code>e0acd2b</code></a>
REL: Prepare for the NumPy 2.5.0 release.</li>
<li><a
href="https://github.com/numpy/numpy/commit/8d928b715af39e403441e243df45a25db9d79ce3"><code>8d928b7</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31704">#31704</a>
from charris/backport-31649</li>
<li><a
href="https://github.com/numpy/numpy/commit/c2055ba2aabbfc31164297dd7ecb9b3a001262f6"><code>c2055ba</code></a>
MAINT: update openblas to 0.3.33.112.0 (<a
href="https://redirect.github.com/numpy/numpy/issues/31649">#31649</a>)</li>
<li><a
href="https://github.com/numpy/numpy/commit/ce17c81376e5d1195a22610a1f4bc79795c18911"><code>ce17c81</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31703">#31703</a>
from charris/backport-31609</li>
<li><a
href="https://github.com/numpy/numpy/commit/3de6203f44832dc5580d4cec30691f0fa10add87"><code>3de6203</code></a>
BUG: fix StringDType distinct-allocator bugs and add tests (<a
href="https://redirect.github.com/numpy/numpy/issues/31609">#31609</a>)</li>
<li><a
href="https://github.com/numpy/numpy/commit/c723971cf2dc71f0a9db851a72e47a2548f7bda6"><code>c723971</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31700">#31700</a>
from charris/backport-31694</li>
<li><a
href="https://github.com/numpy/numpy/commit/64513b250beb6b180449be76407352f33e5ee209"><code>64513b2</code></a>
MAINT: Bump pypa/cibuildwheel from 3.4.1 to 4.1.0</li>
<li><a
href="https://github.com/numpy/numpy/commit/04707f0dfb2de64883564be66623cb3705045a49"><code>04707f0</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/31698">#31698</a>
from charris/try-fix-emscripten</li>
<li><a
href="https://github.com/numpy/numpy/commit/5cf0686152a721c66eda84cacb6d0b49cab394c4"><code>5cf0686</code></a>
MAINT: Try to fix emscripten wheel build.</li>
<li>Additional commits viewable in <a
href="https://github.com/numpy/numpy/compare/v2.4.6...v2.5.0">compare
view</a></li>
</ul>
</details>
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requirements.txt

@@ -1,4 +1,4 @@
-numpy==2.4.6
+numpy==2.5.0
 XlsxWriter==3.2.9
 PyYAML==6.0.3
 pre-commit==4.5.1