Bump numpy from 2.1.3 to 2.2.1 (#119)

Bumps [numpy](https://github.com/numpy/numpy) from 2.1.3 to 2.2.1.
<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>2.2.1 (DEC 21, 2024)</h2>
<h1>NumPy 2.2.1 Release Notes</h1>
<p>NumPy 2.2.1 is a patch release following 2.2.0. It fixes bugs found
after the 2.2.0 release and has several maintenance pins to work around
upstream changes.</p>
<p>There was some breakage in downstream projects following the 2.2.0
release due to updates to NumPy typing. Because of problems due to MyPy
defects, we recommend using basedpyright for type checking, it can be
installed from PyPI. The Pylance extension for Visual Studio Code is
also based on Pyright. Problems that persist when using basedpyright
should be reported as issues on the NumPy github site.</p>
<p>This release supports Python 3.10-3.13.</p>
<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>Joren Hammudoglu</li>
<li>Matti Picus</li>
<li>Nathan Goldbaum</li>
<li>Peter Hawkins</li>
<li>Simon Altrogge</li>
<li>Thomas A Caswell</li>
<li>Warren Weckesser</li>
<li>Yang Wang +</li>
</ul>
<h2>Pull requests merged</h2>
<p>A total of 12 pull requests were merged for this release.</p>
<ul>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27935">#27935</a>: MAINT: Prepare 2.2.x for further development</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27950">#27950</a>: TEST: cleanups</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27958">#27958</a>: BUG: fix use-after-free error in npy_hashtable.cpp (<a href="https://redirect.github.com/numpy/numpy/issues/27955">#27955</a>)</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27959">#27959</a>: BLD: add missing include</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27982">#27982</a>: BUG:fix compile error libatomic link test to meson.build</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27990">#27990</a>: TYP: Fix falsely rejected value types in <code>ndarray.__setitem__</code></li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27991">#27991</a>: MAINT: Don't wrap <code>#include &lt;Python.h&gt;</code> with <code>extern &quot;C&quot;</code></li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/27993">#27993</a>: BUG: Fix segfault in stringdtype lexsort</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/28006">#28006</a>: MAINT: random: Tweak module code in mtrand.pyx to fix a Cython...</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/28007">#28007</a>: BUG: Cython API was missing NPY_UINTP.</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/28021">#28021</a>: CI: pin scipy-doctest to 1.5.1</li>
<li><a href="https://redirect.github.com/numpy/numpy/pull/28044">#28044</a>: TYP: allow <code>None</code> in operand sequence of nditer</li>
</ul>
<h2>Checksums</h2>
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</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/numpy/numpy/commit/7469245786b57405b7ae264b386400061b3b25d3"><code>7469245</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28047">#28047</a> from charris/prepare-2.2.1</li>
<li><a href="https://github.com/numpy/numpy/commit/acb051e2a3fc90c687079dbe8a8b56c2af507eb3"><code>acb051e</code></a> REL: Prepare for the NumPy 2.2.1 release [wheel build]</li>
<li><a href="https://github.com/numpy/numpy/commit/28a091a4efde3488b20355d6b6ad7100d2c64076"><code>28a091a</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28044">#28044</a> from charris/backport-28039</li>
<li><a href="https://github.com/numpy/numpy/commit/723605bcaf472514fbb34947e5b61daa135c0769"><code>723605b</code></a> TST: Add test for allowing <code>None</code> in operand sequence passed to <code>nditer</code></li>
<li><a href="https://github.com/numpy/numpy/commit/554739ee490013cf2757c1ef1420d120d607836b"><code>554739e</code></a> TYP: allow <code>None</code> in operand sequence of nditer</li>
<li><a href="https://github.com/numpy/numpy/commit/31bc4c8b8ec732582e2a0513afd105b594d15d95"><code>31bc4c8</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28021">#28021</a> from charris/backport-28020</li>
<li><a href="https://github.com/numpy/numpy/commit/32f52a37bc0f7ba3ab0321e57ba8719c15848772"><code>32f52a3</code></a> CI: pin scipy-doctest to 1.5.1 (<a href="https://redirect.github.com/numpy/numpy/issues/28020">#28020</a>)</li>
<li><a href="https://github.com/numpy/numpy/commit/6219aeb6f6d1d8be54339401c3634b9d7a6c063e"><code>6219aeb</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28007">#28007</a> from charris/backport-28005</li>
<li><a href="https://github.com/numpy/numpy/commit/eb7071ca103cf8cfbd5a61ce2ef2bb21fb9638a0"><code>eb7071c</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28006">#28006</a> from charris/backport-28003</li>
<li><a href="https://github.com/numpy/numpy/commit/4f82c3262f8a0a0229d0483b53e47694118b32a5"><code>4f82c32</code></a> BUG: Cython API was missing NPY_UINTP.</li>
<li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v2.1.3...v2.2.1">compare view</a></li>
</ul>
</details>
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</details>

requirements.txt

@@ -1,5 +1,5 @@
 networkx==3.4.2
-numpy==2.1.3
+numpy==2.2.1
 pandas==2.2.3
 scikit-learn==1.6.0
 scipy==1.14.1