APLA-Toolbox / pymapf

📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
MIT License
66 stars 11 forks source link

Update dependency numpy to v1.20.1 #27

Closed renovate[bot] closed 3 years ago

renovate[bot] commented 3 years ago

WhiteSource Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
numpy (source) ==1.20.0 -> ==1.20.1 age adoption passing confidence

Release Notes

numpy/numpy ### [`v1.20.1`](https://togithub.com/numpy/numpy/releases/v1.20.1) [Compare Source](https://togithub.com/numpy/numpy/compare/v1.20.0...v1.20.1) # NumPy 1.20.1 Release Notes NumPy 1.20.1 is a rapid bugfix release fixing several bugs and regressions reported after the 1.20.0 release. ## Highlights - The distutils bug that caused problems with downstream projects is fixed. - The `random.shuffle` regression is fixed. ## Contributors A total of 8 people contributed to this release. People with a \\"+\\" by their names contributed a patch for the first time. - Bas van Beek - Charles Harris - Nicholas McKibben + - Pearu Peterson - Ralf Gommers - Sebastian Berg - Tyler Reddy - \\[@​Aerysv](https://togithub.com/Aerysv) + ## Pull requests merged A total of 15 pull requests were merged for this release. - [#​18306](https://togithub.com/numpy/numpy/pull/18306): MAINT: Add missing placeholder annotations - [#​18310](https://togithub.com/numpy/numpy/pull/18310): BUG: Fix typo in `numpy.__init__.py` - [#​18326](https://togithub.com/numpy/numpy/pull/18326): BUG: don\\'t mutate list of fake libraries while iterating over... - [#​18327](https://togithub.com/numpy/numpy/pull/18327): MAINT: gracefully shuffle memoryviews - [#​18328](https://togithub.com/numpy/numpy/pull/18328): BUG: Use C linkage for random distributions - [#​18336](https://togithub.com/numpy/numpy/pull/18336): CI: fix when GitHub Actions builds trigger, and allow ci skips - [#​18337](https://togithub.com/numpy/numpy/pull/18337): BUG: Allow unmodified use of isclose, allclose, etc. with timedelta - [#​18345](https://togithub.com/numpy/numpy/pull/18345): BUG: Allow pickling all relevant DType types/classes - [#​18351](https://togithub.com/numpy/numpy/pull/18351): BUG: Fix missing signed_char dependency. Closes #​18335. - [#​18352](https://togithub.com/numpy/numpy/pull/18352): DOC: Change license date 2020 -> 2021 - [#​18353](https://togithub.com/numpy/numpy/pull/18353): CI: CircleCI seems to occasionally time out, increase the limit - [#​18354](https://togithub.com/numpy/numpy/pull/18354): BUG: Fix f2py bugs when wrapping F90 subroutines. - [#​18356](https://togithub.com/numpy/numpy/pull/18356): MAINT: crackfortran regex simplify - [#​18357](https://togithub.com/numpy/numpy/pull/18357): BUG: threads.h existence test requires GLIBC > 2.12. - [#​18359](https://togithub.com/numpy/numpy/pull/18359): REL: Prepare for the NumPy 1.20.1 release. ## Checksums ##### MD5 c4748f4f8f703c5e96027407eca02b08 numpy-1.20.1-cp37-cp37m-macosx_10_9_x86_64.whl f0bf3a78d6b3a169e5a7fb2637f7fd87 numpy-1.20.1-cp37-cp37m-manylinux1_i686.whl 493c17647c05ca5043bcbab1ac266a74 numpy-1.20.1-cp37-cp37m-manylinux1_x86_64.whl 55ec954fc598c72b2bbf57bfa8b2a701 numpy-1.20.1-cp37-cp37m-manylinux2010_i686.whl 8cee88f9683d208686081522609a8726 numpy-1.20.1-cp37-cp37m-manylinux2010_x86_64.whl 26399d3ededc53b354de78f977a6197e numpy-1.20.1-cp37-cp37m-manylinux2014_aarch64.whl 81051f1e7a79eea8a5aaf5718114ce3a numpy-1.20.1-cp37-cp37m-win32.whl 899488c55824f02a7a6f0451fc86f63f numpy-1.20.1-cp37-cp37m-win_amd64.whl 17f4dae5a0d143b46345a9cf1a8c8dec numpy-1.20.1-cp38-cp38-macosx_10_9_x86_64.whl f254e98e92b3054c567b6220b37b81d3 numpy-1.20.1-cp38-cp38-manylinux1_i686.whl 483f43a62c7e32ae991990786da90de1 numpy-1.20.1-cp38-cp38-manylinux1_x86_64.whl bf578b783e36d3feb3344973306a9f96 numpy-1.20.1-cp38-cp38-manylinux2010_i686.whl f5d6c77c898537017e64ee30b243fdca numpy-1.20.1-cp38-cp38-manylinux2010_x86_64.whl 5cf541a0d5af3d5812d2970a427075fb numpy-1.20.1-cp38-cp38-manylinux2014_aarch64.whl 178315c579c0a70285b8ee502eb498af numpy-1.20.1-cp38-cp38-win32.whl 5164a32e7a00a2b285302b563eb58afe numpy-1.20.1-cp38-cp38-win_amd64.whl c123dd10788ea9ff788d735cbee444c5 numpy-1.20.1-cp39-cp39-macosx_10_9_x86_64.whl 72282fefe58650c6e7cc41f5b37b8662 numpy-1.20.1-cp39-cp39-manylinux2010_i686.whl 234d57c1a7b1f8b99c054a7a71a51cbe numpy-1.20.1-cp39-cp39-manylinux2010_x86_64.whl 352243d4285970e45d825024ca566d47 numpy-1.20.1-cp39-cp39-manylinux2014_aarch64.whl a78c863323e0f56210c2e1acaad1bc22 numpy-1.20.1-cp39-cp39-win32.whl 86f9d3f358e7d7896e713bce99f17fdd numpy-1.20.1-cp39-cp39-win_amd64.whl ed2c81132119fb3c7f73c6a2de306058 numpy-1.20.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl 60a5e2517be19394a7df24f6d4add3f2 numpy-1.20.1.tar.gz 30ea1c7868e73eeff2c86ac465311220 numpy-1.20.1.zip ##### SHA256 ae61f02b84a0211abb56462a3b6cd1e7ec39d466d3160eb4e1da8bf6717cdbeb numpy-1.20.1-cp37-cp37m-macosx_10_9_x86_64.whl 65410c7f4398a0047eea5cca9b74009ea61178efd78d1be9847fac1d6716ec1e numpy-1.20.1-cp37-cp37m-manylinux1_i686.whl 2d7e27442599104ee08f4faed56bb87c55f8b10a5494ac2ead5c98a4b289e61f numpy-1.20.1-cp37-cp37m-manylinux1_x86_64.whl 4ed8e96dc146e12c1c5cdd6fb9fd0757f2ba66048bf94c5126b7efebd12d0090 numpy-1.20.1-cp37-cp37m-manylinux2010_i686.whl ecb5b74c702358cdc21268ff4c37f7466357871f53a30e6f84c686952bef16a9 numpy-1.20.1-cp37-cp37m-manylinux2010_x86_64.whl b9410c0b6fed4a22554f072a86c361e417f0258838957b78bd063bde2c7f841f numpy-1.20.1-cp37-cp37m-manylinux2014_aarch64.whl 3d3087e24e354c18fb35c454026af3ed8997cfd4997765266897c68d724e4845 numpy-1.20.1-cp37-cp37m-win32.whl 89f937b13b8dd17b0099c7c2e22066883c86ca1575a975f754babc8fbf8d69a9 numpy-1.20.1-cp37-cp37m-win_amd64.whl a1d7995d1023335e67fb070b2fae6f5968f5be3802b15ad6d79d81ecaa014fe0 numpy-1.20.1-cp38-cp38-macosx_10_9_x86_64.whl 60759ab15c94dd0e1ed88241fd4fa3312db4e91d2c8f5a2d4cf3863fad83d65b numpy-1.20.1-cp38-cp38-manylinux1_i686.whl 125a0e10ddd99a874fd357bfa1b636cd58deb78ba4a30b5ddb09f645c3512e04 numpy-1.20.1-cp38-cp38-manylinux1_x86_64.whl c26287dfc888cf1e65181f39ea75e11f42ffc4f4529e5bd19add57ad458996e2 numpy-1.20.1-cp38-cp38-manylinux2010_i686.whl 7199109fa46277be503393be9250b983f325880766f847885607d9b13848f257 numpy-1.20.1-cp38-cp38-manylinux2010_x86_64.whl 72251e43ac426ff98ea802a931922c79b8d7596480300eb9f1b1e45e0543571e numpy-1.20.1-cp38-cp38-manylinux2014_aarch64.whl c91ec9569facd4757ade0888371eced2ecf49e7982ce5634cc2cf4e7331a4b14 numpy-1.20.1-cp38-cp38-win32.whl 13adf545732bb23a796914fe5f891a12bd74cf3d2986eed7b7eba2941eea1590 numpy-1.20.1-cp38-cp38-win_amd64.whl 104f5e90b143dbf298361a99ac1af4cf59131218a045ebf4ee5990b83cff5fab numpy-1.20.1-cp39-cp39-macosx_10_9_x86_64.whl 89e5336f2bec0c726ac7e7cdae181b325a9c0ee24e604704ed830d241c5e47ff numpy-1.20.1-cp39-cp39-manylinux2010_i686.whl 032be656d89bbf786d743fee11d01ef318b0781281241997558fa7950028dd29 numpy-1.20.1-cp39-cp39-manylinux2010_x86_64.whl 66b467adfcf628f66ea4ac6430ded0614f5cc06ba530d09571ea404789064adc numpy-1.20.1-cp39-cp39-manylinux2014_aarch64.whl 12e4ba5c6420917571f1a5becc9338abbde71dd811ce40b37ba62dec7b39af6d numpy-1.20.1-cp39-cp39-win32.whl 9c94cab5054bad82a70b2e77741271790304651d584e2cdfe2041488e753863b numpy-1.20.1-cp39-cp39-win_amd64.whl 9eb551d122fadca7774b97db8a112b77231dcccda8e91a5bc99e79890797175e numpy-1.20.1-pp37-pypy37_pp73-manylinux2010_x86_64.whl 9bf51d69ebb4ca9239e55bedc2185fe2c0ec222da0adee7ece4125414676846d numpy-1.20.1.tar.gz 3bc63486a870294683980d76ec1e3efc786295ae00128f9ea38e2c6e74d5a60a numpy-1.20.1.zip

Renovate configuration

:date: Schedule: At any time (no schedule defined).

:vertical_traffic_light: Automerge: Disabled by config. Please merge this manually once you are satisfied.

:recycle: Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

:no_bell: Ignore: Close this PR and you won't be reminded about this update again.



This PR has been generated by WhiteSource Renovate. View repository job log here.