8000 nsubj=5 · nipype/pydra-tutorial@0bd5641 · GitHub
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notebooks/7_twolevel_glm_nilearn.md

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@@ -730,7 +730,7 @@ wf = Workflow(
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input_spec=['n_subj'],
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)
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wf.inputs.n_subj = 2
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wf.inputs.n_subj = 5
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# randomly choose subjects
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wf_fixed_effect.inputs.subj_id = random.sample(range(1,17), wf.inputs.n_subj)
@@ -797,8 +797,11 @@ wf.set_output(
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```
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```{code-cell} ipython3
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:tags: []
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---
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jupyter:
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outputs_hidden: true
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tags: []
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---
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from pydra import Submitter
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with Submitter(plugin='cf', n_procs=1) as submitter:

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