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  • headtr1ck 7
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issue 1

  • use numpys SupportsDtype · 11 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1474861240 https://github.com/pydata/xarray/pull/7521#issuecomment-1474861240 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85X6Ji4 headtr1ck 43316012 2023-03-18T14:08:20Z 2023-03-18T14:08:20Z COLLABORATOR

I guess we should revert this change and use our own definition as proposed by the numpy defs. If I find time I'll make a new PR such that we can be independent off numpys version in this regard.

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  use numpys SupportsDtype 1580266844
1462773338 https://github.com/pydata/xarray/pull/7521#issuecomment-1462773338 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85XMCZa headtr1ck 43316012 2023-03-09T20:44:04Z 2023-03-09T20:44:04Z COLLABORATOR

It seems that numpy is somewhat against this change, so maybe we are better off to restore the previous state to not have a mess with supporting different numpy versions again. Lets keep that in mind before the next release but wait if something changes on numpys side.

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  use numpys SupportsDtype 1580266844
1450819830 https://github.com/pydata/xarray/pull/7521#issuecomment-1450819830 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85WecD2 headtr1ck 43316012 2023-03-01T20:44:52Z 2023-03-01T20:44:52Z COLLABORATOR

I have opened https://github.com/numpy/numpy/issues/23308

It should be an easy change on numpys side if they decide to go for it. Only problem, we again have to special case this based on bumpy version, haha.

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  use numpys SupportsDtype 1580266844
1450808780 https://github.com/pydata/xarray/pull/7521#issuecomment-1450808780 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85WeZXM dcherian 2448579 2023-03-01T20:33:36Z 2023-03-01T20:33:36Z MEMBER

Ugh I think I clicked merge too early.

Shall we just keep it on our end till it become public? I defer to your judgement here.

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  use numpys SupportsDtype 1580266844
1449428744 https://github.com/pydata/xarray/pull/7521#issuecomment-1449428744 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85WZIcI headtr1ck 43316012 2023-03-01T06:31:46Z 2023-03-01T06:31:46Z COLLABORATOR

Do you know if there's a plan to make something like this public on the numpy end?

No idea, the static typing of numpy is still changing a lot and has many bugs (same with xarray, haha).

I'm sure they will make it public is we request it.

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  use numpys SupportsDtype 1580266844
1449079384 https://github.com/pydata/xarray/pull/7521#issuecomment-1449079384 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85WXzJY dcherian 2448579 2023-02-28T23:23:41Z 2023-02-28T23:23:41Z MEMBER

Thanks @headtr1ck

Do you know if there's a plan to make something like this public on the numpy end?

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  use numpys SupportsDtype 1580266844
1426820348 https://github.com/pydata/xarray/pull/7521#issuecomment-1426820348 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85VC4z8 headtr1ck 43316012 2023-02-11T16:46:31Z 2023-02-12T14:17:33Z COLLABORATOR

Is it some caching issue, since this PR has been lying around for some time? Edit: nvmd, haha. I just created it literally yesterday.

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  use numpys SupportsDtype 1580266844
1426819173 https://github.com/pydata/xarray/pull/7521#issuecomment-1426819173 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85VC4hl Illviljan 14371165 2023-02-11T16:42:44Z 2023-02-11T16:42:44Z MEMBER

dask-core 2023.2.0 pyhd8ed1ab_0 conda-forge distarray 2.12.2 pyh050c7b8_4 conda-forge distlib 0.3.6 pyhd8ed1ab_0 conda-forge distributed 2021.4.1 py39hf3d152e_1 conda-forge Yeah looks like an old version. py.typed was around september so it makes sense that part.

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1426818186 https://github.com/pydata/xarray/pull/7521#issuecomment-1426818186 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85VC4SK headtr1ck 43316012 2023-02-11T16:38:20Z 2023-02-11T16:38:20Z COLLABORATOR

I vaguely remember seeing this error before, but no idea how it got fixed. Maybe this run uses an older version of distributed?

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  use numpys SupportsDtype 1580266844
1426817848 https://github.com/pydata/xarray/pull/7521#issuecomment-1426817848 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85VC4M4 Illviljan 14371165 2023-02-11T16:36:34Z 2023-02-11T16:36:34Z MEMBER

I don't get the error. Distributed has a py.typed file https://github.com/dask/distributed/blob/main/distributed/py.typed And if it was py.typed issue we should have seen it in other PRs and I haven't seen one yet that has this error..

@TomNicholas added py.typed to package data, https://github.com/xarray-contrib/datatree/commit/927749a7702761491461f9bdfa8a0c1fbc244d85 But still, if distributed also needs to do this we should see this error in more PRs.

``` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.2/49.2 kB 3.6 MB/s eta 0:00:00 Collecting types-docutils Downloading types_docutils-0.19.1.3-py3-none-any.whl (16 kB) Installing collected packages: types-PyYAML, types-pytz, types-docutils, types-setuptools Successfully installed types-PyYAML-6.0.12.5 types-docutils-0.19.1.3 types-pytz-2022.7.1.0 types-setuptools-67.2.0.1 xarray/tests/test_distributed.py:14: error: Skipping analyzing "distributed": module is installed, but missing library stubs or py.typed marker [import] xarray/tests/test_distributed.py:21: error: Skipping analyzing "distributed.client": module is installed, but missing library stubs or py.typed marker [import] xarray/tests/test_distributed.py:21: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports xarray/tests/test_distributed.py:22: error: Skipping analyzing "distributed.utils_test": module is installed, but missing library stubs or py.typed marker [import] Generated Cobertura report: /home/runner/work/xarray/xarray/mypy_report/cobertura.xml Installing missing stub packages: /home/runner/micromamba-root/envs/xarray-tests/bin/python -m pip install types-PyYAML types-pytz types-setuptools

Generated Cobertura report: /home/runner/work/xarray/xarray/mypy_report/cobertura.xml Found 3 errors in 1 file (checked 140 source files) ```

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  use numpys SupportsDtype 1580266844
1426362452 https://github.com/pydata/xarray/pull/7521#issuecomment-1426362452 https://api.github.com/repos/pydata/xarray/issues/7521 IC_kwDOAMm_X85VBJBU headtr1ck 43316012 2023-02-10T21:23:15Z 2023-02-10T21:23:15Z COLLABORATOR

@Illviljan I was away for quite some time, do you have an idea what is wrong with mypy-3.9?

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  use numpys SupportsDtype 1580266844

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