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  • hmaarrfk · 1 ✖

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  • Long import time · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1280072309 https://github.com/pydata/xarray/issues/6726#issuecomment-1280072309 https://api.github.com/repos/pydata/xarray/issues/6726 IC_kwDOAMm_X85MTFp1 hmaarrfk 90008 2022-10-16T22:33:17Z 2022-10-16T22:33:17Z CONTRIBUTOR

In developing https://github.com/pydata/xarray/pull/7172, there are also some places where class types are used to check for features: https://github.com/pydata/xarray/blob/main/xarray/core/pycompat.py#L35

Dask and sparse and big contributors due to their need to resolve the class name in question.

Ultimately. I think it is important to maybe constrain the problem.

Are we ok with 100 ms over numpy + pandas? 20 ms?

On my machines, the 0.5 s that xarray is close to seems long... but everytime I look at it, it seems to "just be a python problem".

 
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   Long import time 1284475176

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