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APLA-Toolbox / pymapf

📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
MIT License
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Update dependency numpy to v1.21.4 #51

Closed renovate[bot] closed 2 years ago

renovate[bot] commented 2 years ago

WhiteSource Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
numpy (source) ==1.21.2 -> ==1.21.4 age adoption passing confidence

Release Notes

numpy/numpy ### [`v1.21.4`](https://togithub.com/numpy/numpy/releases/v1.21.4) [Compare Source](https://togithub.com/numpy/numpy/compare/v1.21.3...v1.21.4) # NumPy 1.21.4 Release Notes The NumPy 1.21.4 is a maintenance release that fixes a few bugs discovered after 1.21.3. The most important fix here is a fix for the NumPy header files to make them work for both x86\_64 and M1 hardware when included in the Mac universal2 wheels. Previously, the header files only worked for M1 and this caused problems for folks building x86\_64 extensions. This problem was not seen before Python 3.10 because there were thin wheels for x86\_64 that had precedence. This release also provides thin x86\_64 Mac wheels for Python 3.10. The Python versions supported in this release are 3.7-3.10. If you want to compile your own version using gcc-11, you will need to use gcc-11.2+ to avoid problems. ## Contributors A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Bas van Beek - Charles Harris - Isuru Fernando - Matthew Brett - Sayed Adel - Sebastian Berg - 傅立业（Chris Fu） + ## Pull requests merged A total of 9 pull requests were merged for this release. - [#​20278](https://togithub.com/numpy/numpy/pull/20278): BUG: Fix shadowed reference of `dtype` in type stub - [#​20293](https://togithub.com/numpy/numpy/pull/20293): BUG: Fix headers for universal2 builds - [#​20294](https://togithub.com/numpy/numpy/pull/20294): BUG: `VOID_nonzero` could sometimes mutate alignment flag - [#​20295](https://togithub.com/numpy/numpy/pull/20295): BUG: Do not use nonzero fastpath on unaligned arrays - [#​20296](https://togithub.com/numpy/numpy/pull/20296): BUG: Distutils patch to allow for 2 as a minor version (!) - [#​20297](https://togithub.com/numpy/numpy/pull/20297): BUG, SIMD: Fix 64-bit/8-bit integer division by a scalar - [#​20298](https://togithub.com/numpy/numpy/pull/20298): BUG, SIMD: Workaround broadcasting SIMD 64-bit integers on MSVC... - [#​20300](https://togithub.com/numpy/numpy/pull/20300): REL: Prepare for the NumPy 1.21.4 release. - [#​20302](https://togithub.com/numpy/numpy/pull/20302): TST: Fix a `Arrayterator` typing test failure ## Checksums ##### MD5 95486a3ed027c926fb3fc279db6d843e numpy-1.21.4-cp310-cp310-macosx_10_9_universal2.whl 9f57fad74762f7665669af33583a3dc9 numpy-1.21.4-cp310-cp310-macosx_10_9_x86_64.whl 719a9053aef01a067ce44ede2281eef9 numpy-1.21.4-cp310-cp310-macosx_11_0_arm64.whl 72035d101774fd03beff391927f59aa9 numpy-1.21.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 5813e7a378a6e3f5c269c23f61eff4d9 numpy-1.21.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl b88a1bc4f08dfb154d5a07d15e387af6 numpy-1.21.4-cp310-cp310-win_amd64.whl f0cc946d2f4ab4df7cc7e0cc8cfd429e numpy-1.21.4-cp37-cp37m-macosx_10_9_x86_64.whl 1234643306ce481f0e5f801ddf3f1099 numpy-1.21.4-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl 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fixes a few bugs discovered after 1.21.2. It also provides 64 bit Python 3.10.0 wheels. Note a few oddities about Python 3.10: - There are no 32 bit wheels for Windows, Mac, or Linux. - The Mac Intel builds are only available in universal2 wheels. The Python versions supported in this release are 3.7-3.10. If you want to compile your own version using gcc-11 you will need to use gcc-11.2+ to avoid problems. ## Contributors A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Aaron Meurer - Bas van Beek - Charles Harris - Developer-Ecosystem-Engineering + - Kevin Sheppard - Sebastian Berg - Warren Weckesser ## Pull requests merged A total of 8 pull requests were merged for this release. - [#​19745](https://togithub.com/numpy/numpy/pull/19745): ENH: Add dtype-support to 3 `` `generic ``/`ndarray` methods - [#​19955](https://togithub.com/numpy/numpy/pull/19955): BUG: Resolve Divide by Zero on Apple silicon + test failures... - [#​19958](https://togithub.com/numpy/numpy/pull/19958): MAINT: Mark type-check-only ufunc subclasses as ufunc aliases... - [#​19994](https://togithub.com/numpy/numpy/pull/19994): BUG: np.tan(np.inf) test failure - [#​20080](https://togithub.com/numpy/numpy/pull/20080): BUG: Correct incorrect advance in PCG with emulated int128 - [#​20081](https://togithub.com/numpy/numpy/pull/20081): BUG: Fix NaT handling in the PyArray_CompareFunc for datetime... - [#​20082](https://togithub.com/numpy/numpy/pull/20082): DOC: Ensure that we add documentation also as to the dict for... - [#​20106](https://togithub.com/numpy/numpy/pull/20106): BUG: core: result_type(0, np.timedelta64(4)) would seg. fault. ## Checksums ##### MD5 9acea9630856659ba48fdb582ecc37b4 numpy-1.21.3-cp310-cp310-macosx_10_9_universal2.whl a70f80a4e74a3153a8307c4f0ea8d13d numpy-1.21.3-cp310-cp310-macosx_11_0_arm64.whl 13cfe83efd261ea1c3d1eb02c1d3af83 numpy-1.21.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 8576bfd867834182269f72abbaa2e81e numpy-1.21.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 8ac48f503f1e22c0c2b5d056772aca27 numpy-1.21.3-cp310-cp310-win_amd64.whl cbe0d0d7623de3c2c7593f673d1a880a numpy-1.21.3-cp37-cp37m-macosx_10_9_x86_64.whl 0967b18baba13e511c7eb48902a62b39 numpy-1.21.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl da54c9566f3e3f8c7d60efebfdf7e1ae numpy-1.21.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl 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