Bump numpy from 1.22.2 to 1.24.0 #118

2022-12-19T23:01:14+01:00

dependabot[bot] commented

2022-12-19 23:01:14 +01:00

(Migrated from github.com)

Bumps numpy from 1.22.2 to 1.24.0.

Release notes

v1.24.0

NumPy 1.24 Release Notes

The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are

Many new deprecations, check them out.

Many expired deprecations,

New F2PY features and fixes.

New "dtype" and "casting" keywords for stacking functions.

See below for the details,

This release supports Python versions 3.8-3.11.

Deprecations

Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose

The numpy.fastCopyAndTranspose function has been deprecated. Use the corresponding copy and transpose methods directly:
arr.T.copy()
The underlying C function PyArray_CopyAndTranspose has also been deprecated from the NumPy C-API.

(gh-22313)

Conversion of out-of-bound Python integers

Attempting a conversion from a Python integer to a NumPy value will now always check whether the result can be represented by NumPy. This means the following examples will fail in the future and give a DeprecationWarning now:
np.uint8(-1)
np.array([3000], dtype=np.int8)
Many of these did succeed before. Such code was mainly useful for unsigned integers with negative values such as np.uint8(-1) giving np.iinfo(np.uint8).max.

Note that conversion between NumPy integers is unaffected, so that np.array(-1).astype(np.uint8) continues to work and use C integer overflow logic. For negative values, it will also work to view the array: np.array(-1, dtype=np.int8).view(np.uint8). In some cases,

... (truncated)

Commits

8cec820 Merge pull request #22813 from charris/prepare-1.24.0-release
8d33e68 REL: Prepare for the NumPy 1.24.0 release.
5ac09da Merge pull request #22815 from charris/backport-22814
df2d26f BLD: use newer version of delocate
e18104e Merge pull request #22805 from charris/backport-22804
6d44424 REV: revert change to numpyconfig.h for sizeof(type) hardcoding on macOS
c484593 Merge pull request #22795 from charris/backport-22791
0904c01 Change argument to npy_floatstatus_..._barrier() functions to ensure it
34653f9 Merge pull request #22793 from charris/backport-22789
21f7096 BUG: Fix infinite recursion in longdouble/large integer scalar ops
Additional commits viewable in compare view

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Bumps [numpy](https://github.com/numpy/numpy) from 1.22.2 to 1.24.0. <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>v1.24.0</h2> <h1>NumPy 1.24 Release Notes</h1> <p>The NumPy 1.24.0 release continues the ongoing work to improve the handling and promotion of dtypes, increase the execution speed, and clarify the documentation. There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are</p> <ul> <li>Many new deprecations, check them out.</li> <li>Many expired deprecations,</li> <li>New F2PY features and fixes.</li> <li>New "dtype" and "casting" keywords for stacking functions.</li> </ul> <p>See below for the details,</p> <p>This release supports Python versions 3.8-3.11.</p> <h2>Deprecations</h2> <h3>Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose</h3> <p>The <code>numpy.fastCopyAndTranspose</code> function has been deprecated. Use the corresponding copy and transpose methods directly:</p> <pre><code>arr.T.copy() </code></pre> <p>The underlying C function <code>PyArray_CopyAndTranspose</code> has also been deprecated from the NumPy C-API.</p> <p>(<a href="https://github-redirect.dependabot.com/numpy/numpy/pull/22313">gh-22313</a>)</p> <h3>Conversion of out-of-bound Python integers</h3> <p>Attempting a conversion from a Python integer to a NumPy value will now always check whether the result can be represented by NumPy. This means the following examples will fail in the future and give a <code>DeprecationWarning</code> now:</p> <pre><code>np.uint8(-1) np.array([3000], dtype=np.int8) </code></pre> <p>Many of these did succeed before. Such code was mainly useful for unsigned integers with negative values such as <code>np.uint8(-1)</code> giving <code>np.iinfo(np.uint8).max</code>.</p> <p>Note that conversion between NumPy integers is unaffected, so that <code>np.array(-1).astype(np.uint8)</code> continues to work and use C integer overflow logic. For negative values, it will also work to view the array: <code>np.array(-1, dtype=np.int8).view(np.uint8)</code>. In some cases,</p>  </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/numpy/numpy/commit/8cec82012694571156e8d7696307c848a7603b4e"><code>8cec820</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22813">#22813</a> from charris/prepare-1.24.0-release</li> <li><a href="https://github.com/numpy/numpy/commit/8d33e689cfa2a6153d716b76f6c3f8d6ae06b4b2"><code>8d33e68</code></a> REL: Prepare for the NumPy 1.24.0 release.</li> <li><a href="https://github.com/numpy/numpy/commit/5ac09da28abacd6f9eed4971b8e7eb6d0b6334a4"><code>5ac09da</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22815">#22815</a> from charris/backport-22814</li> <li><a href="https://github.com/numpy/numpy/commit/df2d26fda121e5204771dc143d1d96d0d0107f71"><code>df2d26f</code></a> BLD: use newer version of delocate</li> <li><a href="https://github.com/numpy/numpy/commit/e18104ecc14f734076d0e24f25766e9f15792c7c"><code>e18104e</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22805">#22805</a> from charris/backport-22804</li> <li><a href="https://github.com/numpy/numpy/commit/6d444245087fa0166749d8dbc780b5e82b98e6f4"><code>6d44424</code></a> REV: revert change to <code>numpyconfig.h</code> for sizeof(type) hardcoding on macOS</li> <li><a href="https://github.com/numpy/numpy/commit/c48459319ac837b6539d4f4f16de3de711d24672"><code>c484593</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22795">#22795</a> from charris/backport-22791</li> <li><a href="https://github.com/numpy/numpy/commit/0904c01d3f608f22a27327adf29a06615184be45"><code>0904c01</code></a> Change argument to npy_floatstatus_..._barrier() functions to ensure it</li> <li><a href="https://github.com/numpy/numpy/commit/34653f92760b8dad7c5db9a176b5325cc8074924"><code>34653f9</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22793">#22793</a> from charris/backport-22789</li> <li><a href="https://github.com/numpy/numpy/commit/21f7096ed9d274f95a9611f374227587f2fce377"><code>21f7096</code></a> BUG: Fix infinite recursion in longdouble/large integer scalar ops</li> <li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.22.2...v1.24.0">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=1.22.2&new-version=1.24.0)](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. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details>

chychkan (Migrated from github.com) reviewed

2022-12-19 23:01:14 +01:00

dependabot[bot] commented

2022-12-26 23:01:17 +01:00

(Migrated from github.com)

Superseded by #119.

Pull request closed

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Reference: CalvinBackup/DeepFaceLab_MacOS#118