ENH: Flexibilize "sophisticated" pepolar to allow monomodal execution

[oesteban]

Changes proposed in this pull request

Documentation that should be reviewed

[codecov]

Codecov Report

Attention: Patch coverage is 0% with 1 line in your changes missing coverage. Please review.

Project coverage is 72.06%. Comparing base (2e4f921) to head (729b5b9).
Report is 4 commits behind head on master.

Files with missing lines	Patch %	Lines
fmriprep/workflows/base.py	0.00%	1 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##           master    #3393   +/-   ##
=======================================
  Coverage   72.06%   72.06%           
=======================================
  Files          57       57           
  Lines        4231     4231           
  Branches      455      455           
=======================================
  Hits         3049     3049           
  Misses       1067     1067           
  Partials      115      115           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[effigies]

What use case is this intended to support?

[oesteban]

I have a dataset with all four AP/PA/LR/RL EPIs. This should be easy to handle by topup.

[effigies]

What about len(suffixes) >= 2, then? Or we could drop the length check altogether and rely on sdcflows to not create estimators with too few inputs.

[oesteban]

What about len(suffixes) >= 2, then? Or we could drop the length check altogether and rely on sdcflows to not create estimators with too few inputs.

The idea is that the four images are of the same modality while also allowing for epi + bold (which should be capture by the other condition, and disallow more than 2 images)

[effigies]

Got it. Let's add a comment, as I'm sure I'll forget.

[oesteban]

Sure, I'll add it later today

…

On Sun, Nov 3, 2024, 13:57 Chris Markiewicz ***@***.***> wrote: Got it. Let's add a comment, as I'm sure I'll forget. — Reply to this email directly, view it on GitHub <#3393 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAESDRSXEOWKSYYIKKP4HLDZ6YFULAVCNFSM6AAAAABRCP3HQSVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDINJTGQYTQOJVG4> . You are receiving this because you authored the thread.Message ID: ***@***.***>