dependabot[bot] opened a new pull request, #28493: URL: https://github.com/apache/beam/pull/28493
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>v1.26.0</h2> <h1>NumPy 1.26.0 Release Notes</h1> <p>The NumPy 1.26.0 release is a continuation of the 1.25.x release cycle with the addition of Python 3.12.0 support. Python 3.12 dropped distutils, consequently supporting it required finding a replacement for the setup.py/distutils based build system NumPy was using. We have chosen to use the Meson build system instead, and this is the first NumPy release supporting it. This is also the first release that supports Cython 3.0 in addition to retaining 0.29.X compatibility. Supporting those two upgrades was a large project, over 100 files have been touched in this release. The changelog doesn't capture the full extent of the work, special thanks to Ralf Gommers, Sayed Adel, Stéfan van der Walt, and Matti Picus who did much of the work in the main development branch.</p> <p>The highlights of this release are:</p> <ul> <li>Python 3.12.0 support.</li> <li>Cython 3.0.0 compatibility.</li> <li>Use of the Meson build system</li> <li>Updated SIMD support</li> <li>f2py fixes, meson and bind(x) support</li> <li>Support for the updated Accelerate BLAS/LAPACK library</li> </ul> <p>The Python versions supported in this release are 3.9-3.12.</p> <h2>New Features</h2> <h3>Array API v2022.12 support in <code>numpy.array_api</code></h3> <p><code>numpy.array_api</code> now full supports the <a href="https://data-apis.org/array-api/2022.12";>v2022.12 version</a> of the array API standard. Note that this does not yet include the optional <code>fft</code> extension in the standard.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/23789";>gh-23789</a>)</p> <h3>Support for the updated Accelerate BLAS/LAPACK library</h3> <p>Support for the updated Accelerate BLAS/LAPACK library, including ILP64 (64-bit integer) support, in macOS 13.3 has been added. This brings arm64 support, and significant performance improvements of up to 10x for commonly used linear algebra operations. When Accelerate is selected at build time, the 13.3+ version will automatically be used if available.</p> <p>(<a href="https://redirect.github.com/numpy/numpy/pull/24053";>gh-24053</a>)</p> <h3><code>meson</code> backend for <code>f2py</code></h3> <p><code>f2py</code> in compile mode (i.e. <code>f2py -c</code>) now accepts the</p> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/numpy/numpy/commit/d35cd07ea997f033b2d89d349734c61f5de54b0d";><code>d35cd07</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/24722";>#24722</a> from charris/prepare-1.26.0-release</li> <li><a href="https://github.com/numpy/numpy/commit/2f7c195ea12de3827e957cee85565b645bbd136b";><code>2f7c195</code></a> REL: Prepare for the NumPy 1.26.0 release</li> <li><a href="https://github.com/numpy/numpy/commit/c550abf0f4759269f819170d330d213a7a7da818";><code>c550abf</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/24718";>#24718</a> from rgommers/doc-update</li> <li><a href="https://github.com/numpy/numpy/commit/4893b24867f0bba433f9f55feb74f9b657e4a015";><code>4893b24</code></a> DEV: improve <code>spin docs</code> command</li> <li><a href="https://github.com/numpy/numpy/commit/44fe37c1e23a6f4a397822cbfa532a110eef2d9a";><code>44fe37c</code></a> DOC: fix two cross-references to SciPy docs in "building from source"</li> <li><a href="https://github.com/numpy/numpy/commit/f2121dc67c9ad034fa3d39058264456131e21d6a";><code>f2121dc</code></a> DOC: Fix doc build warning for random.</li> <li><a href="https://github.com/numpy/numpy/commit/ca9780263c349236e6dd1016699395de6111abf9";><code>ca97802</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/24707";>#24707</a> from charris/backport-24705</li> <li><a href="https://github.com/numpy/numpy/commit/92aab8c8ba396e046e7a10bc27a0979dc5bc030f";><code>92aab8c</code></a> TYP: Use <code>collections.abc.Buffer</code> in the <code>npt.ArrayLike</code> definition</li> <li><a href="https://github.com/numpy/numpy/commit/56e580d2e2c9b238de3ed2ce2299356013bace27";><code>56e580d</code></a> TYP: Use <code>collections.abc.Buffer</code> in the Array API</li> <li><a href="https://github.com/numpy/numpy/commit/5ef53c6ad250eaf46739ca4d960e384e28857715";><code>5ef53c6</code></a> TYP: Add annotations for the py3.12 buffer protocol</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.14.3...v1.26.0";>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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