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  • np.clip() executes eagerly · 2 ✖

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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
454161586 https://github.com/pydata/xarray/issues/2570#issuecomment-454161586 https://api.github.com/repos/pydata/xarray/issues/2570 MDEyOklzc3VlQ29tbWVudDQ1NDE2MTU4Ng== max-sixty 5635139 2019-01-14T21:07:13Z 2019-01-14T21:07:13Z MEMBER

In an effort to reduce the issue backlog, I'll close this, but please reopen if you disagree

 
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   np.clip() executes eagerly 384002323
441412706 https://github.com/pydata/xarray/issues/2570#issuecomment-441412706 https://api.github.com/repos/pydata/xarray/issues/2570 MDEyOklzc3VlQ29tbWVudDQ0MTQxMjcwNg== shoyer 1217238 2018-11-25T03:32:36Z 2018-11-25T03:32:36Z MEMBER

I don't think we can fix this with the current version of NumPy, unfortunately -- np.clip isn't a NumPy ufunc, so it always executes eagerly.

NumPy 1.16 or 1.17 will include support for __array_function__ (see http://www.numpy.org/neps/nep-0018-array-function-protocol.html), which will let us fix this.

 
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   np.clip() executes eagerly 384002323

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