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  • Not compatible with PyPy and dask.array. · 5 ✖

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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
368687352 https://github.com/pydata/xarray/issues/1935#issuecomment-368687352 https://api.github.com/repos/pydata/xarray/issues/1935 MDEyOklzc3VlQ29tbWVudDM2ODY4NzM1Mg== jhamman 2443309 2018-02-26T23:22:37Z 2018-02-26T23:22:37Z MEMBER

I'm going to close now seeing that the upstream/pypy issue has been closed.

@tlechauve - please keep us updated on the pypy integration of xarray and the development of your REST API.

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  Not compatible with PyPy and dask.array. 299346082
368082271 https://github.com/pydata/xarray/issues/1935#issuecomment-368082271 https://api.github.com/repos/pydata/xarray/issues/1935 MDEyOklzc3VlQ29tbWVudDM2ODA4MjI3MQ== jhamman 2443309 2018-02-23T17:37:42Z 2018-02-23T17:37:42Z MEMBER

@tlechauve - If your REST API is open source, would you mind sharing a link? I'd be interested to see what you're up to.

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  Not compatible with PyPy and dask.array. 299346082
367843351 https://github.com/pydata/xarray/issues/1935#issuecomment-367843351 https://api.github.com/repos/pydata/xarray/issues/1935 MDEyOklzc3VlQ29tbWVudDM2Nzg0MzM1MQ== benbovy 4160723 2018-02-22T22:24:34Z 2018-02-22T22:24:34Z MEMBER

With the standard python everything works, but i have performance issues.

Can I ask what kind of performance issues do you have? I don't have much experience with PyPy, I'm just curious on cases where using xarray with PyPy represents a real advantage over using it with CPython.

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  Not compatible with PyPy and dask.array. 299346082
367802779 https://github.com/pydata/xarray/issues/1935#issuecomment-367802779 https://api.github.com/repos/pydata/xarray/issues/1935 MDEyOklzc3VlQ29tbWVudDM2NzgwMjc3OQ== mrocklin 306380 2018-02-22T19:58:55Z 2018-02-22T19:58:55Z MEMBER

+1 on reporting upstream if convenient

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  Not compatible with PyPy and dask.array. 299346082
367795719 https://github.com/pydata/xarray/issues/1935#issuecomment-367795719 https://api.github.com/repos/pydata/xarray/issues/1935 MDEyOklzc3VlQ29tbWVudDM2Nzc5NTcxOQ== shoyer 1217238 2018-02-22T19:37:51Z 2018-02-22T19:37:51Z MEMBER

It's exciting to see people testing xarray with PyPy! Once we get this working, we should consider adding a continuous integration test.

The specific problem here seems to be dask.SerializableLock, which xarray initializes upon import: https://github.com/dask/dask/blob/de6c2a49d76066abb51085570816322f063fc5c5/dask/utils.py#L737

I think this could be reproduced with something like the following using only the standard library: ``` import weakref import threading

lock = threading.Lock()

locks = weakref.WeakValueDictionary() locks['foo'] = lock ```

This works with CPython, but maybe not with pypy.

CC @mrocklin in case he has any ideas. Otherwise if my code to reproduce works, I would suggest reporting this upstream to PyPy.

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  Not compatible with PyPy and dask.array. 299346082

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