dependabot[bot] opened a new pull request, #33325: URL: https://github.com/apache/beam/pull/33325
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>2.2.0 (Dec 8, 2024)</h2> <h1>NumPy 2.2.0 Release Notes</h1> <p>The NumPy 2.2.0 release is quick release that brings us back into sync with the usual twice yearly release cycle. There have been an number of small cleanups, as well as work bringing the new StringDType to completion and improving support for free threaded Python. Highlights are:</p> <ul> <li>New functions <code>matvec</code> and <code>vecmat</code>, see below.</li> <li>Many improved annotations.</li> <li>Improved support for the new StringDType.</li> <li>Improved support for free threaded Python</li> <li>Fixes for f2py</li> </ul> <p>This release supports Python versions 3.10-3.13.</p> <h2>Deprecations</h2> <ul> <li> <p><code>_add_newdoc_ufunc</code> is now deprecated. <code>ufunc.__doc__ = newdoc</code> should be used instead.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/27735";>gh-27735</a>)</p> </li> </ul> <h2>Expired deprecations</h2> <ul> <li> <p><code>bool(np.array([]))</code> and other empty arrays will now raise an error. Use <code>arr.size > 0</code> instead to check whether an array has no elements.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/27160";>gh-27160</a>)</p> </li> </ul> <h2>Compatibility notes</h2> <ul> <li> <p><code>numpy.cov</code> now properly transposes single-row (2d array) design matrices when <code>rowvar=False</code>. Previously, single-row design matrices would return a scalar in this scenario, which is not correct, so this is a behavior change and an array of the appropriate shape will now be returned.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/27661";>gh-27661</a>)</p> </li> </ul> <h2>New Features</h2> <ul> <li> <p>New functions for matrix-vector and vector-matrix products</p> <p>Two new generalized ufuncs were defined:</p> <ul> <li><code>numpy.matvec</code> - matrix-vector product, treating the arguments as stacks of matrices and column vectors,</li> </ul> </li> </ul> <!-- 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 <https://anaconda.org/multibuild-wheels-staging/numpy></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 <prepare_release></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/e7a123b2d3eca9897843791dd698c1803d9a39c2";><code>e7a123b</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/27928";>#27928</a> from charris/prepare-2.2.0</li> <li><a href="https://github.com/numpy/numpy/commit/d97d0714325cecbbbd806054d5dd260b825c7752";><code>d97d071</code></a> MAINT: Try fixing MacOS cirrus build failures. [wheel build]</li> <li><a href="https://github.com/numpy/numpy/commit/1ed7b6712f94082ffbc15b4009fce94143624afc";><code>1ed7b67</code></a> REL: Prepare for the NumPy 2.2.0 release [wheel build]</li> <li><a href="https://github.com/numpy/numpy/commit/fd9e7ef549bb049a6fe2da6a4122a8a324690f5a";><code>fd9e7ef</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/27916";>#27916</a> from charris/backport-27915</li> <li><a href="https://github.com/numpy/numpy/commit/2e0941fc20fbdc5289946c1b4606c5a66e73a624";><code>2e0941f</code></a> MAINT: Bump actions/cache from 4.1.2 to 4.2.0</li> <li><a href="https://github.com/numpy/numpy/commit/013656d26d62f2a0c8ea24226a7607ab0c13ff02";><code>013656d</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/27912";>#27912</a> from charris/backport-27877</li> <li><a href="https://github.com/numpy/numpy/commit/7895ba602d5416c412be33b017586bbb4ed6acf9";><code>7895ba6</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/27913";>#27913</a> from charris/backport-27896</li> <li><a href="https://github.com/numpy/numpy/commit/ee8d1cd01542836229ff1366c583e13db2b8d874";><code>ee8d1cd</code></a> PERF: improve multithreaded ufunc scaling (<a href="https://redirect.github.com/numpy/numpy/issues/27896";>#27896</a>)</li> <li><a href="https://github.com/numpy/numpy/commit/77fff6b39403ac7242c8f5e916940fcf43af7cc9";><code>77fff6b</code></a> ENH: Refactor <code>__qualname__</code> across API (<a href="https://redirect.github.com/numpy/numpy/issues/27877";>#27877</a>)</li> <li><a href="https://github.com/numpy/numpy/commit/b30a3384fb8966e2249e7362799b90185dffa5b5";><code>b30a338</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/27911";>#27911</a> from charris/backport-27891</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.14.3...v2.2.0";>compare view</a></li> </ul> </details> <br /> Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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