Conversation
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This mne-python/mne/connectivity/effective.py Lines 89 to 90 in f4ff170 mne-python/mne/connectivity/spectral.py Lines 423 to 434 in f4ff170 |
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@larsoner what is the difference to decorate using I think we should add those things in the contributing guide. (or make developers guide with all those little things as a FAQ) |
Codecov Report
@@ Coverage Diff @@
## master #6385 +/- ##
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+ Coverage 89.32% 89.33% +<.01%
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Files 408 408
Lines 74303 74315 +12
Branches 12293 12293
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+ Hits 66374 66386 +12
Misses 5072 5072
Partials 2857 2857 |
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@verbose does what @fill_doc does, plus controls the verbosity level. Use |
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I was going to tackle this today after all the |
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thx @massich |
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I've 2 commits that didn't go in (I could not understand why they were breaking). I'll contribute them in a separate PR. |
* docstring deduplication * more n_jobs * fix: import fill_doc * fix crossrefs; deduplicate docdict def for random_state
* FIX: allow raw_fif to parse brainvision events (#6417) * TST: usecase * FIX: check annotation description base names * fix: remove pathlib * RFC: Alternative without getattr. * imports * Fix: avoid adding 'barinvision' as event_id keyword * remove _get_auto_event_id * update whatsnew * Update brainvision.py * cosmit * fix * use rstrip * MRG+1, DOC: footer logos (#6420) * add individual inst. logos; add uni-graz * add image titles (hover) * force add missing logos * codespell skip SVG files * fix: make inria PNG; better logo wrapping * fix footer overlap; slightly larger logos * STY: prefer _DefaultEventParser to _Counter (#6355) * Fix docstrings (#6385) * docstring deduplication * more n_jobs * fix: import fill_doc * fix crossrefs; deduplicate docdict def for random_state * FIX: Conftest [circle front] * FIX: Ref [circle front]
it just factorizes code for n_jobs, seed and random_state docstrings