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  • keewis 7
  • dcherian 3
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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
633691103 https://github.com/pydata/xarray/pull/4064#issuecomment-633691103 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYzMzY5MTEwMw== dcherian 2448579 2020-05-25T19:20:52Z 2020-05-25T19:20:52Z MEMBER

Thanks @AndrewWilliams3142

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632093104 https://github.com/pydata/xarray/pull/4064#issuecomment-632093104 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYzMjA5MzEwNA== keewis 14808389 2020-05-21T13:42:08Z 2020-05-21T13:42:08Z MEMBER

chunk is a method of DataArray while rechunk is a method of dask.array.Array

dataarray.chunk("auto").data calls DataArray.chunk and then fetches the underlying data structure (a dask array) while dataarray.data.rechunk("auto") fetches the underlying data structure and then calls dask.array.Array.rechunk.

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631604681 https://github.com/pydata/xarray/pull/4064#issuecomment-631604681 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYzMTYwNDY4MQ== dcherian 2448579 2020-05-20T17:05:41Z 2020-05-20T17:05:41Z MEMBER

Thanks @AndrewWilliams3142 . We should add a test for chunk("auto") . This could test that dataarray.chunk("auto").data is the same as dataarray.data.rechunk("auto") (or something like that).

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629355884 https://github.com/pydata/xarray/pull/4064#issuecomment-629355884 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTM1NTg4NA== dcherian 2448579 2020-05-15T16:28:14Z 2020-05-15T16:28:14Z MEMBER

ah right. this is now rechunking chunked objects to a single chunk when chunks=None. This was not happening previously

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629199017 https://github.com/pydata/xarray/pull/4064#issuecomment-629199017 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE5OTAxNw== keewis 14808389 2020-05-15T12:09:18Z 2020-05-15T12:12:05Z MEMBER

then you'll have to run git pull -f once to get the new state

For future reference, github does not work terribly well with rebases (or merges without a merge commit) so it would be good to avoid those.

Edit: ignore the pep8speaks message for now, you didn't change anything in Line 1.

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629192230 https://github.com/pydata/xarray/pull/4064#issuecomment-629192230 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE5MjIzMA== keewis 14808389 2020-05-15T11:52:27Z 2020-05-15T11:52:27Z MEMBER

if you have any unpushed commits: could you push them now? While they would not be lost, it's way easier to handle them now than after the force-push

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629189848 https://github.com/pydata/xarray/pull/4064#issuecomment-629189848 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE4OTg0OA== keewis 14808389 2020-05-15T11:46:09Z 2020-05-15T11:46:09Z MEMBER

there's something wrong with the merge. Are you able to resolve that by yourself, or should I fix it for you?

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629171237 https://github.com/pydata/xarray/pull/4064#issuecomment-629171237 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE3MTIzNw== keewis 14808389 2020-05-15T10:57:29Z 2020-05-15T11:01:53Z MEMBER

no, the git pull or git pull origin master (git pull <remote> <branch> in general) should do the trick. "Forking" just means setting up your own repository on github as a mirror of the repository you're forking. After that, git can handle the synchronization between both repositories.

If you need more explanations on git, how to use it and also how it works under the hood, check out the git book.

Edit: the book even has a section on Github

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629162166 https://github.com/pydata/xarray/pull/4064#issuecomment-629162166 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE2MjE2Ng== keewis 14808389 2020-05-15T10:33:56Z 2020-05-15T10:33:56Z MEMBER

to merge master, what I usually do is: bash $ git checkout master $ git pull # synchronize master with `origin/master` $ git checkout <feature-branch> $ git merge master and if there are merge conflicts (i.e. the merge was interrupted), I follow the advice given by git status

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629149680 https://github.com/pydata/xarray/pull/4064#issuecomment-629149680 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE0OTY4MA== keewis 14808389 2020-05-15T10:04:58Z 2020-05-15T10:09:13Z MEMBER

no need to rebase, simply merge master. Also, you'd then have to remove the checkpoint.

Edit: the failing map_block tests are probably related to your changes (I don't know the code related to dask too well)

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629149164 https://github.com/pydata/xarray/pull/4064#issuecomment-629149164 https://api.github.com/repos/pydata/xarray/issues/4064 MDEyOklzc3VlQ29tbWVudDYyOTE0OTE2NA== kmuehlbauer 5821660 2020-05-15T10:03:42Z 2020-05-15T10:03:42Z MEMBER

I'm not sure why something has changed in these files (I haven't touched them), I also can't work out what the l variable is meant to be doing there. Any tips appreciated!

@AndrewWilliams3142 This is due to flake8 applying new changes from pycodestyle. xarray-devs already dived into this, see https://github.com/pydata/xarray/pull/4057.

You might just need to rebase with current master, to make the error go away.

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