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🎊 PR Preview 2e3e0f5 has been successfully built and deployed to https://xarray-contrib-xarray-tutorial-preview-pr-281.surge.sh 🕐 Build time: 0.01s 🤖 By surge-preview |
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| codeautolink_inventory_map: { | ||
| # unfortunately mapping the top level doesn't work, need all methods | ||
| #"xarray.core.dataarray.DataArray": "xarray.DataArray", | ||
| "xarray.core.accessor_dt.DatetimeAccessor": "xarray.DataArray.dt", | ||
| "xarray.core.dataarray.DataArray.coarsen": "xarray.DataArray.coarsen", | ||
| "xarray.core.dataarray.DataArray.groupby": "xarray.DataArray.groupby", | ||
| "xarray.core.dataarray.DataArray.groupby_bins": "xarray.DataArray.groupby_bins", |
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@felix-hilden, I realize this issue (felix-hilden/sphinx-codeautolink#131 (comment) ) has been closed for a while, but curious based on your comment if it does seems straightforward to implement a simplification of ("xarray.core.dataarray.DataArray": "xarray.DataArray") to avoid having to enumerate every method?
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Would setting __module__ fix this? (pydata/xarray#4279)
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Based on the above issue, if I add
import xarray
xarray.DataArray.__module__ = "xarray"to conf.py before building I'm getting Handler <bound method SphinxCodeAutoLink.create_references of <sphinx_codeautolink.extension.SphinxCodeAutoLink object at 0x145730710>> for event 'env-updated' threw an exception (exception: maximum recursion depth exceeded) ...
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Can you try adding it to xarrays init.py?
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Hi! Yeah I'm not at all opposed to having the feature that was discussed in the issue, I've just been out of the game for a while focusing on other things and I have personally no need for that. But I'm very open to contributions 👌
Personally I've opted for changing module attributes like so and it's worked well for me.
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actually it does look like chaning either conf.py or xarray/__init__.py works, I think the recursion error was coming from some issue with my local settings/cache...
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kind of a pain to modify conf.py via jupyter book (jupyter-book/jupyter-book#858,
jupyter-book/jupyter-book#1673 (comment)) but that is probably the way to go...
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Let's do it upstream? I think we'd like this in Xarray too.
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| .sphinx-codeautolink-a:link { | ||
| border-bottom-color: lightgray; | ||
| border-bottom-style: dotted; | ||
| border-bottom-width: 1px; | ||
| } | ||
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| .sphinx-codeautolink-a:hover { | ||
| border-bottom-color: rgb(255, 139, 139); | ||
| border-bottom-style: dotted; | ||
| border-bottom-width: 1px; | ||
| } |
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@dcherian @zmoon I think a subtle dotted underline is nice, personally I think the thick underlines (https://scikit-image.org/docs/stable/auto_examples/segmentation/plot_regionprops.html) are a bit distracting and distinct from the jupyterlab experience, but open to other opinions!
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I concur!
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A little darker would be nicer to me. It's also convention that solid lines are clickable links, so perhaps just a thin darker line?
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| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "da: xr.DataArray = xr.tutorial.load_dataset(\"air_temperature\", engine=\"netcdf4\").air\n", |
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Need a type hint on da in order for subsequent methods to be picked up (da.resample). Also, if chaining methods only the first is picked up da.isel(time=0).plot() links to isel but not plot
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Opened discussion for clarification on this felix-hilden/sphinx-codeautolink#146.
Edit: method chaining links would need some work felix-hilden/sphinx-codeautolink#147
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Based on discussion in #82
Lots of warnings! Would need to add lots of manual mappings for completeness... and even then it doesn't pick up things like da.resample and da.isel below because it doesn't realize that da is a DataAarray:
Even so, I think the underline and hover color are nice additions