Fix style issues flagged by ruff.

src/fmripost_aroma/cli/parser.py

@@ -21,6 +21,7 @@
 #     https://www.nipreps.org/community/licensing/
 #
 """Parser."""
+
 import sys
 
 from fmripost_aroma import config
@@ -31,6 +32,7 @@ def _build_parser(**kwargs):
 
     ``kwargs`` are passed to ``argparse.ArgumentParser`` (mainly useful for debugging).
     """
+
     from argparse import Action, ArgumentDefaultsHelpFormatter, ArgumentParser
     from functools import partial
     from pathlib import Path
@@ -464,6 +466,7 @@ def _bids_filter(value, parser):
 
 def parse_args(args=None, namespace=None):
     """Parse args and run further checks on the command line."""
+
     import logging
 
     parser = _build_parser()

src/fmripost_aroma/cli/run.py

@@ -22,13 +22,15 @@
 #     https://www.nipreps.org/community/licensing/
 #
 """fMRI preprocessing workflow."""
+
 from fmripost_aroma import config
 
 EXITCODE: int = -1
 
 
 def main():
     """Entry point."""
+
     import gc
     import sys
     from multiprocessing import Manager, Process

src/fmripost_aroma/config.py

@@ -87,6 +87,7 @@
     :py:class:`~bids.layout.BIDSLayout`, etc.)
 
 """
+
 import os
 from multiprocessing import set_start_method
 

src/fmripost_aroma/workflows/aroma.py

@@ -21,6 +21,7 @@
 #     https://www.nipreps.org/community/licensing/
 #
 """fMRIPost-AROMA workflows to run ICA-AROMA."""
+
 import os
 
 from nipype.interfaces import utility as niu
@@ -124,6 +125,7 @@ def init_ica_aroma_wf(
     nonaggr_denoised_file
         BOLD series with non-aggressive ICA-AROMA denoising applied
     """
+
     from nipype.interfaces import fsl
     from niworkflows.engine.workflows import LiterateWorkflow as Workflow
     from niworkflows.interfaces.utility import TSV2JSON
@@ -137,7 +139,7 @@ def init_ica_aroma_wf(
 [ICA-AROMA, @aroma] was performed on the *preprocessed BOLD on MNI space*
 time-series after removal of non-steady state volumes and spatial smoothing
 with an isotropic, Gaussian kernel of 6mm FWHM (full-width half-maximum).
-Corresponding "non-aggresively" denoised runs were produced after such
+Corresponding "non-aggressively" denoised runs were produced after such
 smoothing.
 Additionally, the "aggressive" noise-regressors were collected and placed
 in the corresponding confounds file.

src/fmripost_aroma/workflows/base.py

@@ -28,6 +28,7 @@
 .. autofunction:: init_single_subject_wf
 
 """
+
 import os
 import sys
 import warnings