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  • Using entry_points to register dataset and dataarray accessors? · 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
1398017683 https://github.com/pydata/xarray/issues/7348#issuecomment-1398017683 https://api.github.com/repos/pydata/xarray/issues/7348 IC_kwDOAMm_X85TVA6T nbren12 1386642 2023-01-20T07:37:12Z 2023-01-20T07:41:06Z CONTRIBUTOR

I see your point, but xarray could do both, and most accessors I've used come in a pip installable package and we can make that workflow a bit smoother with entry points. IMO it is an advantage of entrypoints that they don't require editing source code, just a 1 line change to a setup.py, setup.cfg, or pyproject.toml.

I wonder how often "users" define their own accessors...I use python functions and modules. The "black magic" you mention breaks most static analysis tooling (type checking, linting, completion) and saves at most a couple of characters, so I never felt the need, but that's a discussion for another day.

 
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   Using entry_points to register dataset and dataarray accessors? 1473152374

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