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pip prod(deps): bump numpy from 2.2.1 to 2.2.2 (#3766)
Bumps [numpy](https://github.com/numpy/numpy) from 2.2.1 to 2.2.2. <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>2.2.2 (Jan 18, 2025)</h2> <h1>NumPy 2.2.2 Release Notes</h1> <p>NumPy 2.2.2 is a patch release that fixes bugs found after the 2.2.1 release. The number of typing fixes/updates is notable. This release supports Python versions 3.10-3.13.</p> <h2>Contributors</h2> <p>A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time.</p> <ul> <li>Alicia Boya García +</li> <li>Charles Harris</li> <li>Joren Hammudoglu</li> <li>Kai Germaschewski +</li> <li>Nathan Goldbaum</li> <li>PTUsumit +</li> <li>Rohit Goswami</li> <li>Sebastian Berg</li> </ul> <h2>Pull requests merged</h2> <p>A total of 16 pull requests were merged for this release.</p> <ul> <li><a href="https://redirect.github.com/numpy/numpy/pull/28050">#28050</a>: MAINT: Prepare 2.2.x for further development</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28055">#28055</a>: TYP: fix <code>void</code> arrays not accepting <code>str</code> keys in <code>__setitem__</code></li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28066">#28066</a>: TYP: fix unnecessarily broad <code>integer</code> binop return types (<a href="https://redirect.github.com/numpy/numpy/issues/28065">#28065</a>)</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28112">#28112</a>: TYP: Better <code>ndarray</code> binop return types for <code>float64</code> &...</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28113">#28113</a>: TYP: Return the correct <code>bool</code> from <code>issubdtype</code></li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28114">#28114</a>: TYP: Always accept <code>date[time]</code> in the <code>datetime64</code> constructor</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28120">#28120</a>: BUG: Fix auxdata initialization in ufunc slow path</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28131">#28131</a>: BUG: move reduction initialization to ufunc initialization</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28132">#28132</a>: TYP: Fix <code>interp</code> to accept and return scalars</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28137">#28137</a>: BUG: call PyType_Ready in f2py to avoid data races</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28145">#28145</a>: BUG: remove unnecessary call to PyArray_UpdateFlags</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28160">#28160</a>: BUG: Avoid data race in PyArray_CheckFromAny_int</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28175">#28175</a>: BUG: Fix f2py directives and --lower casing</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28176">#28176</a>: TYP: Fix overlapping overloads issue in 2->1 ufuncs</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28177">#28177</a>: TYP: preserve shape-type in ndarray.astype()</li> <li><a href="https://redirect.github.com/numpy/numpy/pull/28178">#28178</a>: TYP: Fix missing and spurious top-level exports</li> </ul> <h2>Checksums</h2> <h3>MD5</h3> <pre><code>749cb2adf8043551aae22bbf0ed3130a numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl bc79fa2e44316b7ce9bacb48a993ed91 numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl c6b2caa2bbb645b5950dccb77efb1dbb numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl 8c410efac169af880cacbbac8a731658 numpy-2.2.2-cp310-cp310-macosx_14_0_x86_64.whl </code></pre> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/numpy/numpy/commit/fd8a68e4978defd094cffa23c71d7de7fb213e3f"><code>fd8a68e</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28184">#28184</a> from charris/prepare-2.2.2</li> <li><a href="https://github.com/numpy/numpy/commit/0d106a5162608e04f30688ed9226efdba765b405"><code>0d106a5</code></a> REL: Prepare for the NumPy 2.2.2 release [wheel build]</li> <li><a href="https://github.com/numpy/numpy/commit/dfdd35af752a92b5cf2d6bb43f5676a918861589"><code>dfdd35a</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28175">#28175</a> from charris/backport-28056</li> <li><a href="https://github.com/numpy/numpy/commit/e4517a878203a1eb12a3d58f0d1374ff8db4fba4"><code>e4517a8</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28176">#28176</a> from charris/backport-28168</li> <li><a href="https://github.com/numpy/numpy/commit/2c0432b50bbe4ba246b089eb9a7c01b4b8f84adb"><code>2c0432b</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28178">#28178</a> from charris/backport-28170</li> <li><a href="https://github.com/numpy/numpy/commit/2230a0855644209120e11e596b55d99a35b1495e"><code>2230a08</code></a> Merge pull request <a href="https://redirect.github.com/numpy/numpy/issues/28177">#28177</a> from charris/backport-28169</li> <li><a href="https://github.com/numpy/numpy/commit/b04e32c15e6b3ad268fe5b314209915e7779764e"><code>b04e32c</code></a> TYP: Fix missing and spurious top-level exports</li> <li><a href="https://github.com/numpy/numpy/commit/6a5f537ca978ed9d5204aa9d24845abf330b765f"><code>6a5f537</code></a> TYP: preserve shape-type in ndarray.astype()</li> <li><a href="https://github.com/numpy/numpy/commit/f782790c08c50120b68641b3557ab96f5c1964c7"><code>f782790</code></a> TYP: Fix overlapping overloads issue in 2->1 ufuncs</li> <li><a href="https://github.com/numpy/numpy/commit/a19acf1f66e6c8a57ecd37710b444e5bf8d10b89"><code>a19acf1</code></a> BUG: Fix casing for f2py directives</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v2.2.1...v2.2.2">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=numpy&package-manager=pip&previous-version=2.2.1&new-version=2.2.2)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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