Bump numpy from 1.19.4 to 1.22.0 in /2021#22

Bumps [numpy](https://github.com/numpy/numpy) from 1.19.4 to 1.22.0. <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>v1.22.0</h2> <h1>NumPy 1.22.0 Release Notes</h1> <p>NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:</p> <ul> <li>Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.</li> <li>A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.</li> <li>NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.</li> <li>New methods for <code>quantile</code>, <code>percentile</code>, and related functions. The new methods provide a complete set of the methods commonly found in the literature.</li> <li>A new configurable allocator for use by downstream projects.</li> </ul> <p>These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.</p> <p>The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.</p> <h2>Expired deprecations</h2> <h3>Deprecated numeric style dtype strings have been removed</h3> <p>Using the strings <code>&quot;Bytes0&quot;</code>, <code>&quot;Datetime64&quot;</code>, <code>&quot;Str0&quot;</code>, <code>&quot;Uint32&quot;</code>, and <code>&quot;Uint64&quot;</code> as a dtype will now raise a <code>TypeError</code>.</p> <p>(<a href="https://github-redirect.dependabot.com/numpy/numpy/pull/19539">gh-19539</a>)</p> <h3>Expired deprecations for <code>loads</code>, <code>ndfromtxt</code>, and <code>mafromtxt</code> in npyio</h3> <p><code>numpy.loads</code> was deprecated in v1.15, with the recommendation that users use <code>pickle.loads</code> instead. <code>ndfromtxt</code> and <code>mafromtxt</code> were both deprecated in v1.17 - users should use <code>numpy.genfromtxt</code> instead with the appropriate value for the <code>usemask</code> parameter.</p> <p>(<a href="https://github-redirect.dependabot.com/numpy/numpy/pull/19615">gh-19615</a>)</p> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/numpy/numpy/commit/4adc87dff15a247e417d50f10cc4def8e1c17a03"><code>4adc87d</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20685">#20685</a> from charris/prepare-for-1.22.0-release</li> <li><a href="https://github.com/numpy/numpy/commit/fd66547557f57c430d41be2fc0764f74a62e8ccf"><code>fd66547</code></a> REL: Prepare for the NumPy 1.22.0 release.</li> <li><a href="https://github.com/numpy/numpy/commit/125304b035effcd82e366e601b102e7347eaa9ba"><code>125304b</code></a> wip</li> <li><a href="https://github.com/numpy/numpy/commit/c283859128b1a4b57014581570a23ed7950a24ea"><code>c283859</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20682">#20682</a> from charris/backport-20416</li> <li><a href="https://github.com/numpy/numpy/commit/5399c03d4a069fe81a1616be0184c9749d7271ee"><code>5399c03</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20681">#20681</a> from charris/backport-20954</li> <li><a href="https://github.com/numpy/numpy/commit/f9c45f8ebf31340b1a5a0371bfca25afcfc4794e"><code>f9c45f8</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/20680">#20680</a> from charris/backport-20663</li> <li><a href="https://github.com/numpy/numpy/commit/794b36f7e1bf2a8c42774ab0db86a74bd32f674b"><code>794b36f</code></a> Update armccompiler.py</li> <li><a href="https://github.com/numpy/numpy/commit/d93b14e3d7abaa1d837825e51671f817788e120f"><code>d93b14e</code></a> Update test_public_api.py</li> <li><a href="https://github.com/numpy/numpy/commit/7662c0789cc6a70d5ad4d950ee2e95f3afef7df6"><code>7662c07</code></a> Update <strong>init</strong>.py</li> <li><a href="https://github.com/numpy/numpy/commit/311ab52488a7d096ac3bc4c2de0fdae17ecd13ef"><code>311ab52</code></a> Update armccompiler.py</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.19.4...v1.22.0">compare view</a></li> </ul> </details> <br /> [](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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