Adjust numpy dependency (#372)

Updates the requirements on [numpy](https://github.com/numpy/numpy) to
permit the latest version.
Updates `numpy` to 2.1.0
<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>2.1.0 (Aug 18, 2024)</h2>
<h1>NumPy 2.1.0 Release Notes</h1>
<p>NumPy 2.1.0 provides support for the upcoming Python 3.13 release and
drops support for Python 3.9. In addition to the usual bug fixes and
updated Python support, it helps get us back into our usual release
cycle after the extended development of 2.0. The highlights for this
release are:</p>
<ul>
<li>Support for the array-api 2023.12 standard.</li>
<li>Support for Python 3.13.</li>
<li>Preliminary support for free threaded Python 3.13.</li>
</ul>
<p>Python versions 3.10-3.13 are supported in this release.</p>
<h2>New functions</h2>
<h3>New function <code>numpy.unstack</code></h3>
<p>A new function <code>np.unstack(array, axis=...)</code> was added,
which splits an
array into a tuple of arrays along an axis. It serves as the inverse of
[numpy.stack]{.title-ref}.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/26579">gh-26579</a>)</p>
<h2>Deprecations</h2>
<ul>
<li>
<p>The <code>fix_imports</code> keyword argument in
<code>numpy.save</code> is deprecated.
Since NumPy 1.17, <code>numpy.save</code> uses a pickle protocol that no
longer
supports Python 2, and ignored <code>fix_imports</code> keyword. This
keyword
is kept only for backward compatibility. It is now deprecated.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/26452">gh-26452</a>)</p>
</li>
<li>
<p>Passing non-integer inputs as the first argument of
[bincount]{.title-ref} is now deprecated, because such inputs are
silently cast to integers with no warning about loss of precision.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/27076">gh-27076</a>)</p>
</li>
</ul>
<h2>Expired deprecations</h2>
<ul>
<li>
<p>Scalars and 0D arrays are disallowed for <code>numpy.nonzero</code>
and
<code>numpy.ndarray.nonzero</code>.</p>
<p>(<a
href="https://redirect.github.com/numpy/numpy/pull/26268">gh-26268</a>)</p>
</li>
<li>
<p><code>set_string_function</code> internal function was removed and
<code>PyArray_SetStringFunction</code> was stubbed out.</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/2f7fe64b8b6d7591dd208942f1cc74473d5db4cb"><code>2f7fe64</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/27236">#27236</a>
from charris/prepare-2.1.0</li>
<li><a
href="https://github.com/numpy/numpy/commit/b6f434f852e9d1ed4f7de9a3a465b38171d54a61"><code>b6f434f</code></a>
REL: Prepare for the NumPy 2.1.0 release [wheel build]</li>
<li><a
href="https://github.com/numpy/numpy/commit/3cf93948797fb81fc251c26cb90d6c44f8374c54"><code>3cf9394</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/27234">#27234</a>
from charris/backport-25984</li>
<li><a
href="https://github.com/numpy/numpy/commit/7443dcc915fea1e905f354da511e9e60da82e19c"><code>7443dcc</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/27233">#27233</a>
from charris/backport-27223</li>
<li><a
href="https://github.com/numpy/numpy/commit/85b1cab2ad5f418cca485042478622ce13a497a7"><code>85b1cab</code></a>
BUG: Allow fitting of degree zero polynomials with Polynomial.fit</li>
<li><a
href="https://github.com/numpy/numpy/commit/395a81dee5be52b2acff817e6f16652d23181fc3"><code>395a81d</code></a>
DOC: reword discussion about shared arrays to hopefully be clearer</li>
<li><a
href="https://github.com/numpy/numpy/commit/5af2e965a02137cd05706d8d395d8263f395f7c7"><code>5af2e96</code></a>
Move NUMUSERTYPES thread safety discussion to legacy DType API docs</li>
<li><a
href="https://github.com/numpy/numpy/commit/d902c24b684e8ba5370a160a375beaa77bae5032"><code>d902c24</code></a>
DOC: add docs on thread safety in NumPy</li>
<li><a
href="https://github.com/numpy/numpy/commit/c080180fabc1f8fcde14c27e3df2de8fcbe7cf03"><code>c080180</code></a>
Merge pull request <a
href="https://redirect.github.com/numpy/numpy/issues/27229">#27229</a>
from charris/backport-27226</li>
<li><a
href="https://github.com/numpy/numpy/commit/44ce7e8f7b43c1045ad78eecaac0435fff491fae"><code>44ce7e8</code></a>
BUG: Fix <code>PyArray_ZeroContiguousBuffer</code> (resize) with struct
dtypes</li>
<li>Additional commits viewable in <a
href="https://github.com/numpy/numpy/compare/v0.2.0...v2.1.0">compare
view</a></li>
</ul>
</details>
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pyproject.toml

@@ -31,7 +31,9 @@ dependencies = [
     "packaging>=21.0",
     "tqdm>=4.29.0",
     "joblib>=1.3.0",
-    "numpy<2.0.0" # some of our dependencies are not yet compatible with numpy 2.0
+    "numpy>=1.26; python_version >= '3.12'",
+    "numpy>=1.24; python_version >= '3.11'",
+    "numpy>=1.22",
 ]