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https://github.com/pydata/xarray/issues/3370#issuecomment-562582121 https://api.github.com/repos/pydata/xarray/issues/3370 562582121 MDEyOklzc3VlQ29tbWVudDU2MjU4MjEyMQ== 14808389 2019-12-06T14:00:22Z 2019-12-06T14:18:08Z MEMBER

most of the nitpicky errors are raised because numpydoc tries to link to parameter types. We can define aliases and ignore terms like instance or words like of, see

https://github.com/mne-tools/mne-python/blob/da9cd19a9b65e792e2523f159820549ec6082f9d/doc/conf.py#L531-L616

for an example. We can also ignore nitpicky warnings using nitpick_ignore, but the normal warnings can't be selectively ignored (suppress_warnings ignores warning categories).

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