dependabot[bot] opened a new pull request, #1677:
URL: https://github.com/apache/sedona/pull/1677

   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>2.1.3 (Nov 2, 2024)</h2>
   <h1>NumPy 2.1.3 Release Notes</h1>
   <p>NumPy 2.1.3 is a maintenance release that fixes bugs and regressions
   discovered after the 2.1.2 release. This release also adds support
   for free threaded Python 3.13 on Windows.</p>
   <p>The Python versions supported by this release are 3.10-3.13.</p>
   <h2>Improvements</h2>
   <ul>
   <li>
   <p>Fixed a number of issues around promotion for string ufuncs with
   StringDType arguments. Mixing StringDType and the fixed-width DTypes
   using the string ufuncs should now generate much more uniform
   results.</p>
   <p>(<a 
href="https://redirect.github.com/numpy/numpy/pull/27636";>gh-27636</a>)</p>
   </li>
   </ul>
   <h2>Changes</h2>
   <ul>
   <li>
   <p><code>numpy.fix</code> now won't perform casting to a floating
   data-type for integer and boolean data-type input arrays.</p>
   <p>(<a 
href="https://redirect.github.com/numpy/numpy/pull/26766";>gh-26766</a>)</p>
   </li>
   </ul>
   <h2>Contributors</h2>
   <p>A total of 15 people contributed to this release. People with a 
&quot;+&quot; by
   their names contributed a patch for the first time.</p>
   <ul>
   <li>Abhishek Kumar +</li>
   <li>Austin +</li>
   <li>Benjamin A. Beasley +</li>
   <li>Charles Harris</li>
   <li>Christian Lorentzen</li>
   <li>Marcel Telka +</li>
   <li>Matti Picus</li>
   <li>Michael Davidsaver +</li>
   <li>Nathan Goldbaum</li>
   <li>Peter Hawkins</li>
   <li>Raghuveer Devulapalli</li>
   <li>Ralf Gommers</li>
   <li>Sebastian Berg</li>
   <li>dependabot[bot]</li>
   <li>kp2pml30 +</li>
   </ul>
   <h2>Pull requests merged</h2>
   <p>A total of 21 pull requests were merged for this release.</p>
   <!-- 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 2.1.0 release on Linux, modified for
   building with GitHub Actions and cibuildwheels and uploading to the
   <code>anaconda.org staging repository for NumPy 
&lt;https://anaconda.org/multibuild-wheels-staging/numpy&gt;</code>_.
   The commands can be copied into the command line, but be sure to replace 
2.1.0
   by 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>
   <li>You can use the <code>keyring</code> app to store the PyPI password for 
twine. See the
   online twine documentation for details.</li>
   </ul>
   <h1>Prior to release</h1>
   <h2>Add/drop Python versions</h2>
   <p>When adding or dropping Python versions, three files need to be 
edited:</p>
   <ul>
   <li>.github/workflows/wheels.yml  # for github cibuildwheel</li>
   <li>tools/ci/cirrus_wheels.yml  # for cibuildwheel aarch64/arm64 builds</li>
   <li>pyproject.toml  # for classifier and minimum version check.</li>
   </ul>
   <p>Make these changes in an ordinary PR against main and backport if 
necessary.
   Add <code>[wheel build]</code> at the end of the title line of the commit 
summary so
   that wheel builds will be run to test the changes. We currently release 
wheels
   for new Python versions after the first Python rc once manylinux and
   cibuildwheel support it. For Python 3.11 we were able to release within a 
week
   of the rc1 announcement.</p>
   <h2>Backport pull requests</h2>
   <p>Changes that have been marked for this release must be backported to the
   maintenance/2.1.x branch.</p>
   <h2>Update 2.1.0 milestones</h2>
   <!-- raw HTML omitted -->
   </blockquote>
   <p>... (truncated)</p>
   </details>
   <details>
   <summary>Commits</summary>
   <ul>
   <li><a 
href="https://github.com/numpy/numpy/commit/98464cc0cbc1f211482a0756ded305bed1599f18";><code>98464cc</code></a>
 Merge pull request <a 
href="https://redirect.github.com/numpy/numpy/issues/27690";>#27690</a> from 
charris/prepare-2.1.3</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/cbda85b3551910a8e0d80b89c727b62d66aec20f";><code>cbda85b</code></a>
 REL: Prepare for the NumPy 2.1.3 release [wheel build]</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/daa8699a4145299ea8ff850b94de31c1c208cb65";><code>daa8699</code></a>
 Merge pull request <a 
href="https://redirect.github.com/numpy/numpy/issues/27672";>#27672</a> from 
charris/backport-27666</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/614ca19a3ae5469ed2b19cf1ebbc22ba81606b7d";><code>614ca19</code></a>
 Merge pull request <a 
href="https://redirect.github.com/numpy/numpy/issues/27673";>#27673</a> from 
charris/backport-27636</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/e6b02d7ba6d8a34b169113f9874d015ef875d67e";><code>e6b02d7</code></a>
 DOC: add release note</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/54fd7291022e8e8c0cc80d651ebf7afd4dd152b3";><code>54fd729</code></a>
 BUG: substantially simplify and fix issue with justification promoter</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/a90fe7cc6e52be410321b5fffe4e85e76acedb0a";><code>a90fe7c</code></a>
 BUG: fix more issues with string ufunc promotion</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/a121864b22b6fe5da2d2ae8924b58a31d1b67bf0";><code>a121864</code></a>
 BUG: fixes for StringDType/unicode promoters</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/f055fb97531bd89ab0d97f3a5a9f6a11dab4b6ec";><code>f055fb9</code></a>
 BUG: Fix a reference count leak in npy_find_descr_for_scalar.</li>
   <li><a 
href="https://github.com/numpy/numpy/commit/5895c021934b3321dd9abb6be979bf6d2abbc8a4";><code>5895c02</code></a>
 Merge pull request <a 
href="https://redirect.github.com/numpy/numpy/issues/27669";>#27669</a> from 
charris/backport-27663</li>
   <li>Additional commits viewable in <a 
href="https://github.com/numpy/numpy/compare/v0.2.0...v2.1.3";>compare 
view</a></li>
   </ul>
   </details>
   <br />
   
   
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