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@dependabot dependabot bot commented on behalf of github Mar 17, 2025

Bumps numpy from 1.26.4 to 2.2.4.

Release notes

Sourced from numpy's releases.

2.2.4 (Mar 16, 2024)

NumPy 2.2.4 Release Notes

NumPy 2.2.4 is a patch release that fixes bugs found after the 2.2.3 release. There are a large number of typing improvements, the rest of the changes are the usual mix of bugfixes and platform maintenace.

This release supports Python versions 3.10-3.13.

Contributors

A total of 15 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Abhishek Kumar
  • Andrej Zhilenkov
  • Andrew Nelson
  • Charles Harris
  • Giovanni Del Monte
  • Guan Ming(Wesley) Chiu +
  • Jonathan Albrecht +
  • Joren Hammudoglu
  • Mark Harfouche
  • Matthieu Darbois
  • Nathan Goldbaum
  • Pieter Eendebak
  • Sebastian Berg
  • Tyler Reddy
  • lvllvl +

Pull requests merged

A total of 17 pull requests were merged for this release.

  • #28333: MAINT: Prepare 2.2.x for further development.
  • #28348: TYP: fix positional- and keyword-only params in astype, cross...
  • #28377: MAINT: Update FreeBSD version and fix test failure
  • #28379: BUG: numpy.loadtxt reads only 50000 lines when skip_rows >= max_rows
  • #28385: BUG: Make np.nonzero threading safe
  • #28420: BUG: safer bincount casting (backport to 2.2.x)
  • #28422: BUG: Fix building on s390x with clang
  • #28423: CI: use QEMU 9.2.2 for Linux Qemu tests
  • #28424: BUG: skip legacy dtype multithreaded test on 32 bit runners
  • #28435: BUG: Fix searchsorted and CheckFromAny byte-swapping logic
  • #28449: BUG: sanity check __array_interface__ number of dimensions
  • #28510: MAINT: Hide decorator from pytest traceback
  • #28512: TYP: Typing fixes backported from #28452, #28491, #28494
  • #28521: TYP: Backport fixes from #28505, #28506, #28508, and #28511
  • #28533: TYP: Backport typing fixes from main (2)
  • #28534: TYP: Backport typing fixes from main (3)

... (truncated)

Changelog

Sourced from numpy's changelog.

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 anaconda.org staging repository for NumPy <https://anaconda.org/multibuild-wheels-staging/numpy>_. 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:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt 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:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.
  • You can use the keyring app to store the PyPI password for twine. See the online twine documentation for details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, three files need to be edited:

  • .github/workflows/wheels.yml # for github cibuildwheel
  • tools/ci/cirrus_wheels.yml # for cibuildwheel aarch64/arm64 builds
  • pyproject.toml # for classifier and minimum version check.

Make these changes in an ordinary PR against main and backport if necessary. Add [wheel build] 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.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.1.x branch.

Update 2.1.0 milestones

... (truncated)

Commits

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Mar 17, 2025
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changeset-bot bot commented Mar 17, 2025

⚠️ No Changeset found

Latest commit: 1de077c

Merging this PR will not cause a version bump for any packages. If these changes should not result in a new version, you're good to go. If these changes should result in a version bump, you need to add a changeset.

Click here to learn what changesets are, and how to add one.

Click here if you're a maintainer who wants to add a changeset to this PR

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github-actions bot commented Mar 17, 2025

Dependency Review

The following issues were found:
  • ✅ 0 vulnerable package(s)
  • ✅ 0 package(s) with incompatible licenses
  • ✅ 0 package(s) with invalid SPDX license definitions
  • ⚠️ 1 package(s) with unknown licenses.
See the Details below.

License Issues

Pipfile

PackageVersionLicenseIssue Type
numpy~> 2.2NullUnknown License

OpenSSF Scorecard

PackageVersionScoreDetails
pip/numpy ~> 2.2 🟢 7.1
Details
CheckScoreReason
Code-Review🟢 9Found 11/12 approved changesets -- score normalized to 9
Dependency-Update-Tool🟢 10update tool detected
Maintained🟢 1030 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Packaging⚠️ -1packaging workflow not detected
Token-Permissions🟢 9detected GitHub workflow tokens with excessive permissions
Binary-Artifacts🟢 10no binaries found in the repo
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
Pinned-Dependencies🟢 3dependency not pinned by hash detected -- score normalized to 3
Signed-Releases⚠️ 0Project has not signed or included provenance with any releases.
License🟢 9license file detected
Vulnerabilities⚠️ 024 existing vulnerabilities detected
SAST🟢 9SAST tool detected but not run on all commits
Fuzzing🟢 10project is fuzzed
Branch-Protection🟢 3branch protection is not maximal on development and all release branches
Security-Policy🟢 9security policy file detected
CI-Tests🟢 1019 out of 19 merged PRs checked by a CI test -- score normalized to 10
Contributors🟢 10project has 94 contributing companies or organizations
pip/numpy 2.2.4 🟢 7.1
Details
CheckScoreReason
Code-Review🟢 9Found 11/12 approved changesets -- score normalized to 9
Dependency-Update-Tool🟢 10update tool detected
Maintained🟢 1030 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Packaging⚠️ -1packaging workflow not detected
Token-Permissions🟢 9detected GitHub workflow tokens with excessive permissions
Binary-Artifacts🟢 10no binaries found in the repo
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
Pinned-Dependencies🟢 3dependency not pinned by hash detected -- score normalized to 3
Signed-Releases⚠️ 0Project has not signed or included provenance with any releases.
License🟢 9license file detected
Vulnerabilities⚠️ 024 existing vulnerabilities detected
SAST🟢 9SAST tool detected but not run on all commits
Fuzzing🟢 10project is fuzzed
Branch-Protection🟢 3branch protection is not maximal on development and all release branches
Security-Policy🟢 9security policy file detected
CI-Tests🟢 1019 out of 19 merged PRs checked by a CI test -- score normalized to 10
Contributors🟢 10project has 94 contributing companies or organizations

Scanned Files

  • Pipfile
  • Pipfile.lock

@dependabot dependabot bot force-pushed the dependabot/pip/numpy-2.2.4 branch from 93f1cfa to b048067 Compare March 23, 2025 15:21
Bumps [numpy](https://github.com/numpy/numpy) from 1.26.4 to 2.2.4.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.26.4...v2.2.4)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/numpy-2.2.4 branch from b048067 to 7c68f7b Compare March 23, 2025 15:22
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I'm an Early 🐤

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🌆 Daytime                4314 commits        █████████░░░░░░░░░░░░░░░░   37.32 % 
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📅 I'm Most Productive on Friday

Monday                   1519 commits        ███░░░░░░░░░░░░░░░░░░░░░░   13.14 % 
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JSON                     1 hr 36 mins        █████░░░░░░░░░░░░░░░░░░░░   21.80 % 
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XdqmGTJN3JMOVoRVV8fLyGDh2q8uXLy83NTcWKFVOjRo20cOFC3bp1Kxc6RbYDpypVqujChQu6cuWKwsLClJGRoY8++kgZGRl6+umnc6NHAAAAAACAHDl37pxq166t7777Tu+++64OHTqk3bt364033tD69eu1ZcsWW7eYL2X7kbr33ntPsbGxMplMeu+993Tp0iXt2bNHNWvW1IcffpgbPQIAAAAAAOTI4MGD5eTkpP3798vDw8N8vGzZsurQoYNMpnurtC5cuKBXX31VW7dulYODg1q1aqV58+apWLFitmrdrmU7cAoJCVFISIj5/ebNmy3aEAAAAAAAgCVcu3bNvLLpz2HTnxkMBmVkZKhDhw7y9PTU9u3blZaWpoiICHXt2lXR0dHWbTqfyHbgBAAAAAAAYA/OnDkjk8mkSpUqZTru7++vO3fuSJIiIiLUvHlzHTlyROfPn1dQUJAk6ZNPPlG1atW0b98+1atXz+q927ts7+EEAAAAAABgz/bu3avDhw+rWrVqSklJUUxMjIKCgsxhkyRVrVpVvr6+iomJsWGn9osVTgAAAAAAIF8qX768DAaDTp48mel42bJlJUnu7u62aKtAYIUTAAAAAADIl4oUKaIWLVpo/vz5Sk5OfuS4KlWq6Ndff9Wvv/5qPnb8+HElJCSoatWq1mg13yFwAgAAAAAA+dYHH3ygtLQ01a1bV5999pliYmJ08uRJLV++XCdOnJCjo6OaN2+uGjVqqGfPnjp48KD27t2r3r17q0mTJqpbt66tp2CXshw4bd++Xf369dNXX331wLnPP/9c/fr10/bt2y3aHAAAAAAAyJv8XR3l5mCwak03B4P8XR2zdU25cuV06NAhNW/eXGPGjFFISIjq1q2refPm6fXXX9ekSZNkMBj09ddfq3DhwmrcuLGaN2+usmXL6rPPPsulmeR/Wd7Dae7cuVq7dq3efvvtB87VqlVL3bp1U0JCgpo0aWLRBgEAAAAAQN5TqpCzTj5XRldT0q1W09/VUaUKOWf7usDAQM2bN0/z5s175JhSpUrp66+/fpL28CdZDpz2798vo9GoMmXKPHCuYsWKKl68uPbt22fR5gAAAAAAQN5VqpBzjgIg5H9ZfqTu0qVL8vPze+T5woUL68qVKxZpCgAAAAAAAPYry4GTt7e3zpw5oxs3bjxw7vr16zp9+rS8vb0t2hwAAAAAAADsT5YDp6eeekp3795Vjx49dPnyZfPxK1euqGfPnrp7966eeuqpXGkSAAAAAAAA9iPLezgNGDBAmzZt0nfffafg4GBVqFBBBoNBp06dUkpKigwGgwYOHJibvQIAgCdk+OqkTeqaOleySV0AAADYRpYDp86dO6tPnz5atmyZ7ty5o6NHj0qSTCaTJKlv377q1KlT7nQJAAAsYuC7221TmMAJAACgQMnyI3WStHTpUn344YeqW7eu3N3d5ebmprp16+qjjz7Sv/71r9zqEQAAAAAAAHYkyyuc7hswYIAGDBiQG70AAIBctq9FDVu3AAAAgAIg24HTnTt3tHnzZp08eW8PiMqVK6t58+Zyc3OzeHMAAAAAACDvSr52RSk3/7BaPVdPL3kUCbBaPeRctgKnLVu2qHfv3rp06VKm40ajUZ988omaNWtm0eYAAAAAAEDelHztija+NVQZaalWq+ng5Kw2/3yf0MkOZDlwiomJUYcOHXTnzh3zRuH3xcXF6e9//7v279+vKlWqWLxJAAAAAAVLvZ0f2aTuwXY2KQvYpZSbf1g1bJKkjLRUpdz8I1uBU3h4uJYtWyZJcnZ2VqlSpdS7d2+NHTtWTk7ZfvALWZTln+y0adN0+/Zt+fv7KyIiQrVq1ZKDg4MOHTqk+fPn69q1a5o+fbqWLl2am/0CAAAAAABkS6tWrbR06VKlpKRo48aNioiIkLOzs8aMGWPr1vKtLAdO27Ztk5OTk7Zt26Zq1aqZj7dv316dO3dW7dq1tXXr1lxpEgAAAI/29cjiNqnbYdbvNqkLAEB2ubq6ymg0SpJeeeUVrVmzRuvWrdOmTZtUq1YtzZkzxzy2Y8eO8vX1VWRkpKR7T3X1799f33//vYxGoyZPnqyxY8dq2LBhGjZsmPUnYyeyHDjFx8erQoUKmcKm+6pXr66KFSvqzJkzFm0OAAAAAADA0tzd3XXt2jW5urr+5djevXvr6tWrio6OlrOzs0aMGKHLly9boUv75pDVgR4eHvr999+Vmvrg85l3797V77//Lg8PD4s2BwAAAAAAYCkmk0lbtmzRpk2b1LRp078cf+LECW3ZskUff/yxnn76adWpU0eLFy/W7du3rdCtfcvyCqdatWpp+/bt6tatm+bMmaOgoCBJ0q+//qphw4YpMTFRoaGhudUnAAAAHqFlbEVbtwAAQJ62fv16eXp6KjU1VRkZGerRo4fGjx+vtm3bPva6kydPysnJSXXq1DEfK1++vAoXLpzbLdu9LAdO/fv3V3R0tNauXau1a9fK19dXBoNBN27ckCQZDAYNGDAg1xoFAADAwzUOHmiTunttUhUAgOwLCwvTwoUL5eLiouLFi5u/nc7BwUEmkynT2Ic92YXsy3Lg1KNHD33//fdasmSJJJmDpvv69eun7t27W7Y7AAAA/KU0lzK2bgEAgDzNw8ND5cuXf+B4QECA4uLizO/T09N19OhRhYWFSZIqVaqktLQ0HTp0SE899ZQk6cyZMw9kInhQlgMnSVq8eLHatGmj5cuX6+TJk5Lu/fBffPFFderUKVcaBAAAAAAAyA1NmzbViBEjtGHDBpUrV07vvfeeEhISzOcrV66s5s2ba+DAgVq4cKGcnZ01cuRIubu7y2Aw2K5xO5CtwEmSOnfurM6dO2c6lpGRoblz50qSXnvtNct0BgAALC560HwbVW5go7oAACC3uHp6ycHJWRlp1nsEzcHJWa6eXha7X79+/fTzzz+rd+/ecnJy0vDhw82rm+775JNP9NJLL6lx48YyGo2aMmWKjh07Jjc3N4v1kR9lO3B6mNTUVA0bNkwODg4ETgAAAAAAFAAeRQLU5p/vK+XmH1ar6erpJY8iAdm6JjIy8pHnnJ2d9cEHH+iDDz545JjAwEBt3LjR/P63337T5cuXH/qIHv7LIoHTff+70RYAAAAAAMi/PIoEZDsAsjfff/+9bt68qRo1aiguLk5vvPGGgoOD1bhxY1u3lqdZNHACAFhWw4pTrF7zoNUrAgAAAHlXamqqxo4dq3PnzsnLy0sNGzbUihUr5OzsbOvW8jQCJwAAAAAAgEdo2bKlWrZsaes27E6WA6eyZcs+8hyP0gEAAAAAAOC+LAdOsbGxudgGAAAAAAAA8ossB06NGzeWwWDIzV4AAAAAAACQD2Q5cIqOjs7FNgAAAAD8r/T1NWxS17HdEZvUBQDkHw62bgAAAAAAAAD5C99SBwAAAAAAciQ5Qbp7y3r1XApJHr7Wq4ecs7vAacGCBZoxY4bi4+MVEhKiefPmqX79+g8dGxkZqb59+2Y65urqqjt37lijVQAAAAAA8q3kBOnbOVJGmvVqOjhJrYfZPnQaP3681q5dq8OHD0uSwsPDlZCQoLVr19q0r7zErh6p++yzzzRixAiNGzdOBw8eVEhIiFq2bKnLly8/8hpvb2/FxcWZX7/88osVOwYAAAAAIH+6e8u6YZN0r152V1SFh4erY8eOmY598cUXcnNz06xZs/7yeoPB8JdB0vvvv6/IyMjsNZbP2VXg9N5772nAgAHq27evqlatqkWLFqlQoUJasmTJI68xGAwyGo3mV7FixazYMQAAAAAAyEsWL16snj17auHChRo5cqRF7unj4yNfX1+L3Cu/sJvA6e7duzpw4ICaN29uPubg4KDmzZtr9+7dj7zu5s2bKl26tIKCgtShQwcdO3bssXVSUlKUlJSU6QUAAAAAAOzf9OnT9eqrr2rVqlXmLXgWLlyocuXKycXFRZUqVdKnn35qHh8cHCxJ6tSpkwwGg/n9//rfVVShoaF67bXX9MYbb8jPz09Go1Hjx4/PpVnlTXazh9PVq1eVnp7+wAqlYsWK6cSJEw+9plKlSlqyZIlq1qypxMREzZw5Uw0bNtSxY8dUsmTJh14zZcoUTZgwweL9AwAAwP7UGfPov9jMTQenNLBJXQDIz/7xj3/ogw8+0Pr169WsWTNJ0po1azR06FDNmTNHzZs31/r169W3b1+VLFlSYWFh2rdvn4oWLaqlS5eqVatWcnR0zHK9ZcuWacSIEdqzZ492796t8PBwNWrUSC1atMitKeYpdrPCKScaNGig3r17q1atWmrSpIm++uorBQQE6MMPP3zkNWPGjFFiYqL59euvv1qxYwAAAAAAYGnffvutpk+frq+//tocNknSzJkzFR4ersGDB6tixYoaMWKEOnfurJkzZ0qSAgICJEm+vr4yGo3m91lRs2ZNjRs3ThUqVFDv3r1Vt25dbd261bITy8PsZoWTv7+/HB0ddenSpUzHL126JKPRmKV7ODs7q3bt2jpz5swjx7i6usrV1fWJegUAS4keNN8GVflbdQDIK+I+vGuTuiXb2aQsAOSamjVr6urVqxo3bpzq168vT09PSVJMTIwGDhyYaWyjRo30/vvvW6TmnwUGBj72S8/yG7sJnFxcXPTUU09p69at5uciMzIytHXrVg0ZMiRL90hPT9eRI0fUpk2bXOwUQH5S7Ljd/JoEAORDf68eaZO6B21SteBosG2MTeruJUhEAVaiRAl98cUXCgsLU6tWrfTtt9/Ky8srV2s6Oztnem8wGJSRkZGrNfMSu3qkbsSIEfr444+1bNkyxcTE6JVXXlFycrJ5o6/evXtrzJj//vKeOHGivvvuO507d04HDx5Ur1699Msvv6h///62mgIAAAAAALCB0qVLa/v27YqPj1erVq30xx9/qEqVKtq5c2emcTt37lTVqlXN752dnZWenm7tdu2eXf3VfdeuXXXlyhW98847io+PV61atRQVFWXeSPzChQtycPhvhnbjxg0NGDBA8fHxKly4sJ566int2rUr0wcHAAAAAAAUDEFBQYqOjlZYWJhatmypQYMGqX///qpdu7aaN2+ub775Rl999ZW2bNliviY4OFhbt25Vo0aN5OrqqsKFC9twBvbDrgInSRoyZMgjH6GLjo7O9H727NmaPXu2FboCAAAAAKBgcSkkOThJGWnWq+ngdK/ukyhZsqQ5dFq4cKFmzJihmTNnaujQoSpTpoyWLl2q0NBQ8/hZs2aZn7gqUaKEYmNjn6yBAsLuAicAAAAAAGB7Hr5S62HS3VvWq+lS6F7d7IiMjHzgWIkSJXTq1Cnz+6FDhz7y+vbt26t9+/aZjo0fP17jx49/ZI3/XRAjSWvXrs1Ku/kGgRMAAAAAAMgRD9/sB0AoGAicAAAAAMCK0lzK2LoFAMh1dvUtdQAAAAAAAMj7CJwAAAAAAABgUQROAAAAAAAAsCj2cAKAx9jXooatWwAAAAAAu8MKJwAAAAAAAFgUgRMAAAAAAAAsikfqAAAAAABAjqSn3ZEpPdVq9QyOznJ0crNaPeQcgRMAAAAAAMi29LQ7Svhtj2TKsF5Rg4N8Sz5t9dBp586dGjRokE6cOKG2bdtq7dq1Dz2G/yJwAoDHiB4030aVG9ioLgAAAJA1pvRU64ZNkmTKuFc3G4FTeHi4li1bJklycnJSyZIl9fzzz2vixIlyc8vafUaMGKFatWrp22+/laen5yOP4b8InAAANnHt/Dab1C1SJswmdZH/NZ9tm7pbhtumLgAA9qRVq1ZaunSpUlNTdeDAAfXp00cGg0HTpk3L0vVnz57VoEGDVLJkyccew3+xaTgAAAAAAMjXXF1dZTQaFRQUpI4dO6p58+bavHmzJCklJUWvvfaaihYtKjc3N/3tb3/Tvn37JEmxsbEyGAy6du2a+vXrJ4PBoMjIyIceQ2ascAIAwMo+G/C8Tep2/Xi1TeoWFNcv77ZRZR7BBQAgO44ePapdu3apdOnSkqQ33nhDX375pZYtW6bSpUtr+vTpatmypc6cOaOgoCDFxcWpUqVKmjhxorp27SovLy+1atUq0zEfHx8bzyrvYYUTAAAAAADI19avXy9PT0+5ubmpRo0aunz5skaNGqXk5GQtXLhQM2bMUOvWrVW1alV9/PHHcnd317/+9S85OjrKaDTKYDDIx8dHRqNRHh4eDxxzd3e39RTzHFY4AQAAAACAfC0sLEwLFy5UcnKyZs+eLScnJ3Xp0kX/+c9/lJqaqkaNGpnHOjs7q379+oqJibFhx/aPwAkAAAAAAORrHh4eKl++vCRpyZIlCgkJ0b/+9S/Vq1fPxp3lXzxSBwAAAAAACgwHBweNHTtWb731lsqVKycXFxft3LnTfD41NVX79u1T1apVbdil/SNwAgAAAAAABcrzzz8vR0dHLVy4UK+88opGjRqlqKgoHT9+XAMGDNCtW7f00ksv2bpNu8YjdQAAm9j6rzCb1H3hnzYpCwAAkO8YHJ0lg4NkyrBiUYd7dZ+Qk5OThgwZounTp+v8+fPKyMjQiy++qD/++EN169bVpk2bVLhwYQs0XHAROAEAAACPED1ovo0qN7BRXQDIOkcnN/mWfFqm9FSr1TQ4OsvRyS1b10RGRj70+OjRozV69GhJ0ty5czV37txH3iMhISFLx/BfBE4AAJvo2uALm9R9Qf9nk7oAAAD5kaOTm5TNAAgFA4ETAAAAgAf1tNF/KqxIs01dAIBFETgBAAAAeMD5thNsUreMTaoCACyNb6kDAAAAAACARbHCCQBgE7V/LGGbwm1tUxb5H5tLAwAA/BeBEwAAAIAHdDnS1CZ1D9qkKgDA0nikDgAAAAAAABZF4AQAAAAAAACL4pE6AIBNsN8NAACA/bt14zfdTb5utXouHn4qVLik1eoh5wicAAAA8ESuzX3RJnWLvPapTeoCAO65deM3bZ36rDLSUqxW08HJVc1G/0DoZAcInAAAAPBEfMsetnULAAAbuJt83aphkyRlpKXobvL1bAVO4eHhSkhI0Nq1a3OvMTyAPZwAAAAAAABgUaxwAgDAyv6dEmaTul1tUhUAACDviIqK0j//+U8dPXpUjo6OatCggd5//32VK1dOktSwYUM9++yzmjZtmvmaK1euqHjx4tq6dasaN26sTz/9VO+//75OnjwpDw8PNW3aVHPmzFHRokVtNa08icAJAADkG81n26buluG2qZtXpC4tYpO6ju1sUhYAYMeSk5M1YsQI1axZUzdv3tQ777yjTp066fDhw3JwcFDPnj01ffp0TZ06VQaDQZL02WefqXjx4nr22WclSampqZo0aZIqVaqky5cva8SIEQoPD9fGjRttObU8h8AJsJA6Y3bbpO7BKXzjFgDcd/2ybX4X8+2HAADYhy5dumR6v2TJEgUEBOj48eOqXr26XnjhBQ0bNkw//vijOWBauXKlunfvbg6g+vXrZ76+bNmymjt3rurVq6ebN2/K09PTepPJ4wicAACwsmLH+b9fAAAAWzh9+rTeeecd7dmzR1evXlVGRoYk6cKFC6pevboCAgL03HPPacWKFXr22Wd1/vx57d69Wx9++KH5HgcOHND48eP1888/68aNG5nuUbVqVZvMKy/i33gBALCyfS1q2LoFwKIaVpxik7oHbVIVAGDP2rdvr9KlS+vjjz9W8eLFlZGRoerVq+vu3bvmMT179tRrr72mefPmaeXKlapRo4Zq1Lj372/Jyclq2bKlWrZsqRUrViggIEAXLlxQy5YtM90DBE4A7ACPKwIAAAB4UteuXdPJkyf18ccfmx+X+/HHHx8Y16FDBw0cOFBRUVFauXKlevfubT534sQJXbt2TVOnTlVQUJAkaf/+/daZgJ0hcAIAAAAAAPle4cKFVaRIEX300UcKDAzUhQsXNHr06AfGeXh4qGPHjnr77bcVExOj7t27m8+VKlVKLi4umjdvngYNGqSjR49q0qRJ1pyG3XCwdQMAAAAAAMD+uHj4ycHJ1ao1HZxc5eLhl61rMjIy5OTkJAcHB61atUoHDhxQ9erVNXz4cM2YMeOh1/Ts2VM///yznn32WZUqVcp8PCAgQJGRkVq9erWqVq2qqVOnaubMmU80p/yKFU4AAAAAACDbChUuqWajf9Dd5OtWq+ni4adChUtm65rLly+rfPnykqTmzZvr+PHjmc6bTKYHrmnduvVDj0tS9+7dM616etQ9CjoCJwAAAAAAkCOFCpfMdgBkLTdu3NDOnTsVHR2tQYMG2bqdAofACQAAK4seNN9GldkIHwAAFBz9+vXTvn37NHLkSHXo0MHW7RQ4BE6AhfAfkLmHny0AAACA7FqzZo2tWyjQ2DQcAAAAAAAAFkXgBAAAAAAAAIsicAIAAAAAAIBFETgBAAAAAADAotg0HMBfqjNmt03qHpzCpt0AAAAAYI/sLnBasGCBZsyYofj4eIWEhGjevHmqX7/+I8evXr1ab7/9tmJjY1WhQgVNmzZNbdq0sWLHAAAAAADkT2nJiUpPuWW1eo6uheTk4WO1esg5uwqcPvvsM40YMUKLFi3S008/rTlz5qhly5Y6efKkihYt+sD4Xbt2qXv37poyZYratWunlStXqmPHjjp48KCqV69ugxkAAADkP9GD5tuoMithAcCW0pIT9ds3C2XKSLdaTYODo0q2fyVboVN4eLiWLVsmSXJyclLJkiX1/PPPa+LEiXJzc3vinoKDgzVs2DANGzbsie+Vn9hV4PTee+9pwIAB6tu3ryRp0aJF2rBhg5YsWaLRo0c/MP79999Xq1atNGrUKEnSpEmTtHnzZs2fP1+LFi2yau8FRdIvPW1S17v0CpvUBQAAAICCKj3lllXDJkkyZaQrPeVWtlc5tWrVSkuXLlVqaqoOHDigPn36yGAwaNq0abnUKewmcLp7964OHDigMWPGmI85ODioefPm2r374fvL7N69WyNGjMh0rGXLllq7du0j66SkpCglJcX8Pikp6ckah9UQdgEAAAAAHsbV1VVGo1GSFBQUpObNm2vz5s2aNm3aQ1co1apVSx07dtT48eNlMpk0YcIELVmyRJcuXVKRIkX0f//3f5o7d65CQ0P1yy+/aPjw4Ro+fLgkyWQy2WKKeY7dBE5Xr15Venq6ihUrlul4sWLFdOLEiYdeEx8f/9Dx8fHxj6wzZcoUTZgw4YHjXbt2lbOzcw46h3X83ea1024ftEl1J/fcn3vJXK/wcH///1Oz5c/W1v9cbVHfGp8piX+utqpv67nntrMxN6xS53/9/Vhhm/5sbTlvSdpuo/pNquT+58rW/5ux5T9bW3+ubF0/N+XnucH+rVu3ztYt5LqjR49q165dKl26dJbGf/nll5o9e7ZWrVqlatWqKT4+Xj///LMk6auvvlJISIgGDhyoAQMG5GbbdsduAidrGTNmTKZVUUlJSQoKCtJnn30mb29vG3aGvI4VVrnHlt+S93Ldj2xS+8PNAyXZZu7W+nZAW/5vxtb/ey3Ic89ttvp9sW5KA5v+bG05b8m2P/fcZuv/zdjyZ2vrf662rp+b8vPcgLxq/fr18vT0VFpamlJSUuTg4KD587O2B+GFCxdkNBrVvHlzOTs7q1SpUuYvL/Pz85Ojo6O8vLzMK6hwj90ETv7+/nJ0dNSlS5cyHb906dIj/6EajcZsjZfuLbNzdXV98oZR4IQuGmKTugen2KRsgfF1l5dtUvdDDbRJXVjHqC5NbFL3w/02KQsAAGBzYWFhWrhwoZKTkzV79mw5OTmpS5cuWbr2+eef15w5c1S2bFm1atVKbdq0Ufv27eXkZDeRik3YzU/HxcVFTz31lLZu3aqOHTtKkjIyMrR161YNGfLw/9Bv0KCBtm7dmuk5zM2bN6tBA5J9wJ5Ya8UNAAAAgPzJw8ND5cuXlyQtWbJEISEh+te//qWXXnpJDg4OD+y7lJqaav5zUFCQTp48qS1btmjz5s0aPHiwZsyYoe3bt7P1zmPYTeAkSSNGjFCfPn1Ut25d1a9fX3PmzFFycrL5W+t69+6tEiVKaMqUe0s+hg4dqiZNmmjWrFlq27atVq1apf379+ujj2zziAzyN0IRIHtSM/rbugWb+XA/K9gAAABsxcHBQWPHjtWIESPUo0cPBQQEKC4uznw+KSlJ58+fz3SNu7u72rdvr/bt2ysiIkKVK1fWkSNHVKdOHbm4uCg93brf1mcP7Cpw6tq1q65cuaJ33nlH8fHxqlWrlqKioswbg1+4cEEODg7m8Q0bNtTKlSv11ltvaezYsapQoYLWrl2r6tWr22oKAID/r0iZMFu3AAB5Hn+hBQC54/nnn9eoUaO0YMECNW3aVJGRkWrfvr18fX31zjvvyNHR0Tw2MjJS6enpevrpp1WoUCEtX75c7u7u5k3Hg4ODtWPHDnXr1k2urq7y9/e31bTyFLsKnCRpyJAhj3yELjo6+oFjzz//vJ5//vlc7goAAAAAANgLJycnDRkyRNOnT9fp06d1/vx5tWvXTj4+Ppo0aVKmFU6+vr6aOnWqRowYofT0dNWoUUPffPONihQpIkmaOHGiXn75ZZUrV04pKSkPPJ5XUNld4AQABcmuU2NsUDXaBjUBy2A1CAAA1uPoWkgGB0eZMqz3OJnBwVGOroWydU1kZORDj48ePVqjR4+WJK1atSrTuT59+pj/3LFjR/Ne0g/zzDPP6Oeff85WTwUBgRMAAAAAAMg2Jw8flWz/itJTblmtpqNrITl5+FitHnKOwAkAAMACQhc9/JH/3HZwik3KFhj8cwWAx3Py8CEAwkMROAFAHtbN4wWr11xr9YoAAAAA8hsCJwAAAAB5zr5GA21U+YiN6gJA/uJg6wYAAAAAAACQv7DCCQAAAECe49iOlUYAYM9Y4QQAAAAAAACLInACAAAAAACARRE4AQAAAAAAwKLYwwkAUOCELhpik7oHp9ikLADkyMELz9qocpqN6gLIiUtJUtJt69XzdpeKeefOvYODgzVs2DANGzbsicY8qcjISA0bNkwJCQm5VsMaCJwAAACARzg4pYGtW7CdFQQ/AB7vUpIUHimlpluvprOjFBme/dDp119/1bhx4xQVFaWrV68qMDBQHTt21DvvvKMiRYpk+T779u2Th4dH9oo/xsMCrK5du6pNmzYWq/E4Z86c0eTJk7V582ZduXJFxYsX1zPPPKORI0eqbt26T3RvAicAyMPWfjLY1i0AAAAAD5V027phk3SvXtLt7AVO586dU4MGDVSxYkX9+9//VpkyZXTs2DGNGjVK3377rX766Sf5+fll6V4BAQE57Dzr3N3d5e7unut19u/fr2bNmql69er68MMPVblyZf3xxx/6+uuvNXLkSG3fvv2J7s8eTgAAAAAAIN+KiIiQi4uLvvvuOzVp0kSlSpVS69attWXLFl28eFFvvvmmeewff/yh7t27y8PDQyVKlNCCBQsy3Ss4OFhz5swxv09ISFD//v0VEBAgb29vNW3aVD///HOma7755hvVq1dPbm5u8vf3V6dOnSRJoaGh+uWXXzR8+HAZDAYZDAZJ9x6p8/X1lSSdOnVKBoNBJ06cyHTP2bNnq1y5cub3R48eVevWreXp6alixYrpxRdf1NWrVx/5MzGZTAoPD1eFChX0ww8/qG3btipXrpxq1aqlcePG6euvv876D/gRCJwAAAAAwIqc7p63yQsoiK5fv65NmzZp8ODBD6waMhqN6tmzpz777DOZTCZJ0owZMxQSEqJDhw5p9OjRGjp0qDZv3vzI+z///PO6fPmyvv32Wx04cEB16tRRs2bNdP36dUnShg0b1KlTJ7Vp00aHDh3S1q1bVb9+fUnSV199pZIlS2rixImKi4tTXFzcA/evWLGi6tatqxUrVmQ6vmLFCvXo0UPSvdCradOmql27tvbv36+oqChdunRJL7zwwiP7Pnz4sI4dO6aRI0fKweHBaOh+4PUkeKQOAAAAAADkS6dPn5bJZFKVKlUeer5KlSq6ceOGrly5Iklq1KiRRo8eLele2LNz507Nnj1bLVq0eODaH3/8UXv37tXly5fl6uoqSZo5c6bWrl2rL774QgMHDtTkyZPVrVs3TZgwwXxdSEiIJMnPz0+Ojo7y8vKS0Wh85Bx69uyp+fPna9KkSZLurXo6cOCAli9fLkmaP3++ateurXfffdd8zZIlSxQUFKRTp06pYsWKD/25SFLlypUfWfdJscIJAAAAAADka/dXMP2VBg0aPPA+JibmoWN//vln3bx5U0WKFJGnp6f5df78eZ09e1bSvZVEzZo1e6Leu3XrptjYWP3000+S7q1uqlOnjjks+vnnn7Vt27ZMPdw/d/bsWa1YsSLTuR9++CHLP48nwQonAAAAALCivbN62LoFoMAoX768DAaDYmJizHsn/VlMTIwKFy6co83Ab968qcDAQEVHRz9w7v4jaZbY/NtoNKpp06ZauXKlnnnmGa1cuVKvvPJKpj7at2+vadOmPXBtYGCgMjIy9PTTT5uPlShRwrwn1IkTJ1S7du0n7vFhWOEEAAAAAADypSJFiqhFixb64IMPdPv27Uzn4uPjtWLFCnXt2tW8Yff9VUT3/fTTT498HK9OnTqKj4+Xk5OTypcvn+nl7+8vSapZs6a2bt36yP5cXFyUnv7XX/V3f6+p3bt369y5c+rWrVumPo4dO6bg4OAH+vDw8JCXl1emY+7u7qpVq5aqVq2qWbNmKSMj44F6CQkJf9nTXyFwAgAAsAA2AQYAIG+aP3++UlJS1LJlS+3YsUO//vqroqKi1KJFC5UoUUKTJ082j925c6emT5+uU6dOacGCBVq9erWGDh360Ps2b95cDRo0UMeOHfXdd98pNjZWu3bt0ptvvqn9+/dLksaNG6d///vfGjdunGJiYnTkyJFMK5GCg4O1Y8cOXbx48bHfKte5c2f98ccfeuWVVxQWFqbixYubz0VEROj69evq3r279u3bp7Nnz2rTpk3q27fvI8Msg8GgpUuX6tSpU3r22We1ceNGnTt3Tv/5z380efJkdejQIVs/44fhkToAAAAL4BEZAADypgoVKmj//v0aN26cXnjhBV2/fl1Go1EdO3bUuHHj5OfnZx47cuRI7d+/XxMmTJC3t7fee+89tWzZ8qH3NRgM2rhxo95880317dtXV65ckdFoVOPGjVWsWDFJUmhoqFavXq1JkyZp6tSp8vb2VuPGjc33mDhxol5++WWVK1dOKSkpj9xbycvLS+3bt9fnn3+uJUuWZDpXvHhx7dy5U//4xz/03HPPKSUlRaVLl1arVq0e+g1099WvX1/79+/X5MmTNWDAAF29elWBgYFq2LCh5syZk9Uf7yMZTNbYKcqOJSUlycfHR4mJifL29rZ1OwCszDjFYJO68WP41Zyb6ozZbZO6B6c0+OtBuSzpl542qetdesVfD0KO2fozbev6AADbuJQkhUdKqX/9RJjFODtKkeFSMRv953lgYKAmTZqk/v3726YBO8IKJwAAAAAAkG3FvO+FP0m3/3KoxXi72yZsunXrlnbu3KlLly6pWrVq1m/ADhE4AQBQgIQuGmKTugen2KQsAADIZcW8bbfayJo++ugjTZo0ScOGDVODBqywzQoCJwAAAAAAgMcYNmyYhg0bZus27ArfUgcAAAAAAACLYoUTAKDAYaNhAAAAIHcROAEAUIDU23zENoUJ+XLVuLtdbFT5dxvVBQAAeR2BEwAABciH+wfaugUAAAAUAAROAAAAdq7DLFYaAQCAvIVNwwEAAAAAAGBRrHACAADAE9nXyFaPatpoTzIAgJnpdpx094b1CroUlsE90Hr1kGMETgAAAAAAINtMt+OUsa2dlHHXekUdXOQQtj5boVN4eLiWLVuml19+WYsWLcp0LiIiQh988IH69OmjyMhI81hJcnJykp+fn2rWrKnu3bsrPDxcDg73HhT7/fffVa1aNU2YMEGvvfaa+X579uzR3/72N23YsEHPPfecBSZsvwicAAAA8EQc27HSCAAKpLs3rBs2Sffq3b0hZXOVU1BQkFatWqXZs2fL3d1dknTnzh2tXLlSpUqVyjS2VatWWrp0qdLT03Xp0iVFRUVp6NCh+uKLL7Ru3To5OTmpePHimjdvnl5++WW1bt1aFSpU0O3bt9WnTx/179+/wIdNEns4AQAAAACAfK5OnToKCgrSV199ZT721VdfqVSpUqpdu3amsa6urjIajSpRooTq1KmjsWPH6uuvv9a3336ryMhI87hevXqpZcuWCg8PV0ZGhsaMGaPU1FTNmDHDWtPK0wicAAAAAABAvtevXz8tXbrU/H7JkiXq27dvlq5t2rSpQkJCMgVWkrRo0SKdPn1aPXv21Pz587V06VJ5enpatG97ReAEAAAAAADyvV69eunHH3/UL7/8ol9++UU7d+5Ur169snx95cqVFRsbm+lY0aJFNWnSJK1atUoDBw5U48aNLdy1/WIPJwAAAAAAkO8FBASobdu2ioyMlMlkUtu2beXv75/l600mkwwGQ6Zj6enpioyMVKFChfTTTz8pLS1NTk5ELRIrnAAAAAAAQAHRr18/RUZGatmyZerXr1+2ro2JiVGZMmUyHZs5c6bOnTun/fv367ffftO7775ryXbtGoETAAAAAAAoEFq1aqW7d+8qNTVVLVu2zPJ133//vY4cOaIuXbqYjx07dkzjxo3TwoULVaVKFS1cuFD//Oc/9Z///Cc3Wrc7rPMCAAAAAAAFgqOjo2JiYsx/fpiUlBTFx8crPT1dly5dUlRUlKZMmaJ27dqpd+/ekqS0tDT16dNHnTt3VufOnSVJXbp0UZcuXRQeHq69e/cW+EfrWOEEAAAAAAAKDG9vb3l7ez/yfFRUlAIDAxUcHKxWrVpp27Ztmjt3rr7++mtzSPXuu+/q4sWLmj9/fqZrFyxYoLi4OB6tk2QwmUwmWzeRlyUlJcnHx0eJiYmP/UACyJ+MUwx/PSgXxI/hVzMAAADyNtPtOGVsaydl3LVeUQcXOYStl8E90Ho1kSMFe30XAAAAAADIEYN7oBzC1kt3b1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Last Updated on 23/03/2025 15:39:35 UTC

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dependabot bot commented on behalf of github Apr 21, 2025

A newer version of numpy exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.

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