sty: ruff format [ignore-rev]

Author: effigies

src/smriprep/interfaces/templateflow.py

@@ -205,8 +205,8 @@ def fetch_template_files(
     if specs.get('resolution') and not set(specs['resolution']) & set(available_resolutions):
         fallback_res = available_resolutions[0] if available_resolutions else None
         LOGGER.warning(
-            f"Template {name[0]} does not have resolution(s): {specs['resolution']}."
-            f"Falling back to resolution: {fallback_res}."
+            f'Template {name[0]} does not have resolution(s): {specs["resolution"]}.'
+            f'Falling back to resolution: {fallback_res}.'
         )
         specs['resolution'] = fallback_res
 

src/smriprep/utils/bids.py

@@ -143,7 +143,7 @@ def write_derivative_description(bids_dir, deriv_dir):
     if 'SMRIPREP_DOCKER_TAG' in os.environ:
         desc['GeneratedBy'][0]['Container'] = {
             'Type': 'docker',
-            'Tag': f"poldracklab/smriprep:{os.environ['SMRIPREP_DOCKER_TAG']}",
+            'Tag': f'poldracklab/smriprep:{os.environ["SMRIPREP_DOCKER_TAG"]}',
         }
     if 'SMRIPREP_SINGULARITY_URL' in os.environ:
         desc['GeneratedBy'][0]['Container'] = {

src/smriprep/workflows/anatomical.py

@@ -773,7 +773,7 @@ def init_anat_fit_wf(
         LOGGER.info('ANAT Stage 1: Adding template workflow')
         ants_ver = ANTsInfo.version() or '(version unknown)'
         desc += f"""\
- {"Each" if num_t1w > 1 else "The"} T1w image was corrected for intensity
+ {'Each' if num_t1w > 1 else 'The'} T1w image was corrected for intensity
 non-uniformity (INU) with `N4BiasFieldCorrection` [@n4], distributed with ANTs {ants_ver}
 [@ants, RRID:SCR_004757]"""
         desc += '.\n' if num_t1w > 1 else ', and used as T1w-reference throughout the workflow.\n'

src/smriprep/workflows/outputs.py

@@ -1325,7 +1325,7 @@ def _combine_cohort(in_template):
         template = in_template.split(':')[0]
         if 'cohort-' not in in_template:
             return template
-        return f"{template}+{in_template.split('cohort-')[-1].split(':')[0]}"
+        return f'{template}+{in_template.split("cohort-")[-1].split(":")[0]}'
     return [_combine_cohort(v) for v in in_template]
 
 

src/smriprep/workflows/surfaces.py

@@ -1684,7 +1684,7 @@ def _get_surfaces(subjects_dir: str, subject_id: str, surfaces: list[str]) -> tu
 
     surf_dir = Path(subjects_dir) / subject_id / 'surf'
     all_surfs = {
-        surface: sorted(str(fn) for fn in surf_dir.glob(f"[lr]h.{surface.replace('_', '.')}"))
+        surface: sorted(str(fn) for fn in surf_dir.glob(f'[lr]h.{surface.replace("_", ".")}'))
         for surface in expanded_surfaces
     }