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FEAT/filmGLS through nipype not working
Summary
Hi, I’ve been setting up a fairly straightforward 1st level analysis pipeline for my fmriprepped data, but struggling a lot now with an error that I can’t figure out. I tried running live on the server through a jupyter notebook or sbatching with no difference. I tried running the FilmGLS code on its own in the terminal and that did work (albeit very slowly, I’m not sure if that’s usual), so I think it’s rather an issue with nipype
Actual behavior
FilmGLS (and FEAT overall) works through nipype
Expected behavior
Only works when called directly and not through nipype
How to replicate the behavior
Hard to say? I'm not sure there's anything strange about my code or data, it came direct from fmriprep and everything worked fine there.
Script/Workflow details
https://pastebin.com/d62zzd6z is the output
https://colab.research.google.com/drive/1MsQkl4udANFnuJg3-1gNC1cUyUosk5z9?usp=sharing is a copy of the notebook and workflow etc
Platform details:
{'commit_hash': '72945ef34',
'commit_source': 'installation',
'networkx_version': '2.5',
'nibabel_version': '3.2.1',
'nipype_version': '1.5.0',
'numpy_version': '1.20.1',
'pkg_path': '/home/users/hassan.bassam/anaconda3/envs/mcn/lib/python3.7/site-packages/nipype',
'scipy_version': '1.6.1',
'sys_executable': '/home/users/hassan.bassam/anaconda3/envs/mcn/bin/python',
'sys_platform': 'linux',
'sys_version': '3.7.6 | packaged by conda-forge | (default, Jun 1 2020, '
'18:57:50) \n'
'[GCC 7.5.0]',
'traits_version': '6.2.0'}
Execution environment
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- Container [Tag: ???]
- My python environment inside container [Base Tag: ???]
- My python environment outside container