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- Bump minimum numpy version to 1.20 · 9 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1276449387 | https://github.com/pydata/xarray/pull/6834#issuecomment-1276449387 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85MFRJr | headtr1ck 43316012 | 2022-10-12T16:33:05Z | 2022-10-12T16:33:05Z | COLLABORATOR | We usually only fix the minor version, in this case LGTM! |
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Bump minimum numpy version to 1.20 1318808368 | |
1275657950 | https://github.com/pydata/xarray/pull/6834#issuecomment-1275657950 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85MCP7e | headtr1ck 43316012 | 2022-10-12T06:30:08Z | 2022-10-12T06:30:08Z | COLLABORATOR | Is there a reason why the minimum versions are not in the additional requirements in setup.cfg? |
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Bump minimum numpy version to 1.20 1318808368 | |
1272610336 | https://github.com/pydata/xarray/pull/6834#issuecomment-1272610336 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85L2n4g | headtr1ck 43316012 | 2022-10-09T19:16:47Z | 2022-10-09T19:16:47Z | COLLABORATOR |
Thanks! Do we have to clear some micromamba cache for this to work immediately or should it just work after some days? |
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Bump minimum numpy version to 1.20 1318808368 | |
1272397924 | https://github.com/pydata/xarray/pull/6834#issuecomment-1272397924 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85L10Bk | headtr1ck 43316012 | 2022-10-08T21:09:11Z | 2022-10-08T21:09:11Z | COLLABORATOR | @dcherian I see that you were working on this the last time. Do you have any idea why mamba fails to resolve the environment (for min-all-deps)? With netcdf4=1.5.3 it fails for some python dependencies and with 1.5.4 it fails to find the correct cmds2? We should really merge this, since all CI runs are currently broken due to new flox requiring numpy>=1.20 |
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Bump minimum numpy version to 1.20 1318808368 | |
1269011817 | https://github.com/pydata/xarray/pull/6834#issuecomment-1269011817 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85Lo5Vp | headtr1ck 43316012 | 2022-10-05T21:43:57Z | 2022-10-05T21:43:57Z | COLLABORATOR | I got rid of the complete npcompat module. Not sure if you actually want to keep it around in case new incompatibilities arise? But I guess we can always add it back. |
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Bump minimum numpy version to 1.20 1318808368 | |
1269008079 | https://github.com/pydata/xarray/pull/6834#issuecomment-1269008079 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85Lo4bP | headtr1ck 43316012 | 2022-10-05T21:39:23Z | 2022-10-05T21:39:23Z | COLLABORATOR | Anyone know why min all deps fails? As far as I can tell the only requirement of netCDF is python 3.8? |
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Bump minimum numpy version to 1.20 1318808368 | |
1196479190 | https://github.com/pydata/xarray/pull/6834#issuecomment-1196479190 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85HUNLW | headtr1ck 43316012 | 2022-07-27T09:20:06Z | 2022-07-27T09:20:06Z | COLLABORATOR | Ok I think I found my misunderstanding. Instead of dropping versions older than 18 month we want the oldest supported version to be at least 18 month old. |
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Bump minimum numpy version to 1.20 1318808368 | |
1196464402 | https://github.com/pydata/xarray/pull/6834#issuecomment-1196464402 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85HUJkS | headtr1ck 43316012 | 2022-07-27T09:06:58Z | 2022-07-27T09:06:58Z | COLLABORATOR |
We are dropping 1.19 here, where this table says: "On Jun 21, 2022 drop support for NumPy 1.19" What is now correct? |
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Bump minimum numpy version to 1.20 1318808368 | |
1196048636 | https://github.com/pydata/xarray/pull/6834#issuecomment-1196048636 | https://api.github.com/repos/pydata/xarray/issues/6834 | IC_kwDOAMm_X85HSkD8 | headtr1ck 43316012 | 2022-07-26T22:37:24Z | 2022-07-26T22:37:24Z | COLLABORATOR | Ok seems @Illviljan and myself were a few month off xD https://github.com/pydata/xarray/pull/6821#issuecomment-1193378283. Nvmd then :) |
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Bump minimum numpy version to 1.20 1318808368 |
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