STY: Format + add git blame ignore file

.git-blame-ignore-revs

@@ -0,0 +1,2 @@
+# 2025-01-09 - [email protected] - STY: Ruff format [git-blame-ignore-rev]
+75136b2bb86426c22609449b3f48579ee9c2e4f5

niworkflows/interfaces/bids.py

@@ -773,7 +773,7 @@ def _run_interface(self, runtime):
                 _copy_any(in_file, out_file)
 
             if self.inputs.metadata:
-                sidecar = out_file.parent / f"{out_file.name.split('.', 1)[0]}.json"
+                sidecar = out_file.parent / f'{out_file.name.split(".", 1)[0]}.json'
                 sidecar.unlink(missing_ok=True)
                 sidecar.write_text(dumps(self.inputs.metadata, indent=2))
                 self._results['out_meta'].append(str(sidecar))
@@ -1236,7 +1236,7 @@ def _run_interface(self, runtime):
                 {k: getattr(self.inputs, k) for k in meta_fields if k not in self._static_traits}
             )
             if self._metadata:
-                sidecar = out_file.parent / f"{out_file.name.split('.', 1)[0]}.json"
+                sidecar = out_file.parent / f'{out_file.name.split(".", 1)[0]}.json'
                 unlink(sidecar, missing_ok=True)
                 sidecar.write_text(dumps(self._metadata, sort_keys=True, indent=2))
                 self._results['out_meta'] = str(sidecar)
@@ -1482,6 +1482,6 @@ def _fmt_xyz(coords: list) -> str:
         return f'{xyz} mm^3'
 
     return (
-        f"Template {space} ({_fmt_xyz(res_meta['zooms'])}),"
-        f" curated by TemplateFlow {tf.__version__}"
+        f'Template {space} ({_fmt_xyz(res_meta["zooms"])}),'
+        f' curated by TemplateFlow {tf.__version__}'
     )

niworkflows/interfaces/confounds.py

@@ -176,8 +176,7 @@ class _SpikeRegressorsInputSpec(BaseInterfaceInputSpec):
     concatenate = traits.Bool(
         True,
         usedefault=True,
-        desc='Indicates whether to concatenate spikes to existing confounds '
-        'or return spikes only',
+        desc='Indicates whether to concatenate spikes to existing confounds or return spikes only',
     )
     output_format = traits.Enum(
         'spikes', 'mask', usedefault=True, desc='Format of output (spikes or mask)'

niworkflows/interfaces/images.py

@@ -702,8 +702,7 @@ def _run_interface(self, runtime):
         # This check assumes all input masks have same dimensions
         if img.shape[:3] != mask_imgs[0].shape[:3]:
             raise NotImplementedError(
-                'Input image and mask should be of '
-                'same dimensions before running SignalExtraction'
+                'Input image and mask should be of same dimensions before running SignalExtraction'
             )
         # Load the mask.
         # If mask is a list, each mask is treated as its own ROI/parcel

niworkflows/interfaces/itk.py

@@ -91,8 +91,7 @@ class _MultiApplyTransformsInputSpec(_FixTraitApplyTransformsInputSpec):
     input_image = InputMultiObject(
         File(exists=True),
         mandatory=True,
-        desc='input time-series as a list of volumes after splitting'
-        ' through the fourth dimension',
+        desc='input time-series as a list of volumes after splitting through the fourth dimension',
     )
     num_threads = traits.Int(1, usedefault=True, nohash=True, desc='number of parallel processes')
     save_cmd = traits.Bool(

niworkflows/interfaces/nibabel.py

@@ -182,7 +182,7 @@ def _run_interface(self, runtime):
         img = nb.load(in_file)
         extra_dims = tuple(dim for dim in img.shape[3:] if dim > 1) or (1,)
         if len(extra_dims) != 1:
-            raise ValueError(f"Invalid shape {'x'.join(str(s) for s in img.shape)}")
+            raise ValueError(f'Invalid shape {"x".join(str(s) for s in img.shape)}')
         img = img.__class__(
             img.dataobj.reshape(img.shape[:3] + extra_dims), img.affine, img.header
         )

niworkflows/interfaces/surf.py

@@ -192,7 +192,7 @@ def _run_interface(self, runtime):
         in_file = Path(self.inputs.in_file)
         extension = ''.join(in_file.suffixes[-((in_file.suffixes[-1] == '.gz') + 1) :])
         info = self._pattern.match(in_file.name[: -len(extension)]).groupdict()
-        self._results['extension'] = f"{info.pop('extprefix', None) or ''}{extension}"
+        self._results['extension'] = f'{info.pop("extprefix", None) or ""}{extension}'
         self._results.update(info)
         if 'hemi' in self._results:
             self._results['hemi'] = self._results['hemi'].upper()

niworkflows/interfaces/workbench.py

@@ -114,8 +114,7 @@ class MetricDilateInputSpec(OpenMPTraitedSpec):
         argstr='-exponent %f ',
         position=9,
         default=6.0,
-        desc='exponent n to use in (area / (distance ^ n)) as the '
-        'weighting function (default 6)',
+        desc='exponent n to use in (area / (distance ^ n)) as the weighting function (default 6)',
     )
 
     corrected_areas = File(

niworkflows/tests/test_utils.py

@@ -89,6 +89,5 @@ def test_compression(tmp_path):
     size = int(os.stat(uncompressed).st_size)
     size_compress = int(os.stat(compressed).st_size)
     assert size >= size_compress, (
-        f'The uncompressed report is smaller ({size})'
-        f'than the compressed report ({size_compress})'
+        f'The uncompressed report is smaller ({size})than the compressed report ({size_compress})'
     )

niworkflows/tests/test_viz.py

@@ -54,8 +54,8 @@ def test_carpetplot(tr, sorting):
         output_file=(
             os.path.join(
                 save_artifacts,
-                f"carpet_nosegs_{'index' if tr is None else 'time'}_"
-                f"{'nosort' if sorting is None else sorting}.svg",
+                f'carpet_nosegs_{"index" if tr is None else "time"}_'
+                f'{"nosort" if sorting is None else sorting}.svg',
             )
             if save_artifacts
             else None
@@ -87,8 +87,8 @@ def test_carpetplot(tr, sorting):
         output_file=(
             os.path.join(
                 save_artifacts,
-                f"carpet_random_{'index' if tr is None else 'seg'}_"
-                f"{'nosort' if sorting is None else sorting}.svg",
+                f'carpet_random_{"index" if tr is None else "seg"}_'
+                f'{"nosort" if sorting is None else sorting}.svg',
             )
             if save_artifacts
             else None
@@ -114,8 +114,8 @@ def test_carpetplot(tr, sorting):
         output_file=(
             os.path.join(
                 save_artifacts,
-                f"carpet_const_{'index' if tr is None else 'time'}_"
-                f"{'nosort' if sorting is None else sorting}.svg",
+                f'carpet_const_{"index" if tr is None else "time"}_'
+                f'{"nosort" if sorting is None else sorting}.svg',
             )
             if save_artifacts
             else None

niworkflows/utils/testing.py

@@ -96,4 +96,4 @@ def to_json(filename, data):
 
 
 def combine_entities(**entities):
-    return f"_{'_'.join([f'{lab}-{val}' for lab, val in entities.items()])}" if entities else ''
+    return f'_{"_".join([f"{lab}-{val}" for lab, val in entities.items()])}' if entities else ''

niworkflows/utils/tests/test_spaces.py

@@ -91,9 +91,9 @@ def test_space_action(parser, spaces, expected):
     pargs = parser.parse_known_args(args=('--spaces',) + spaces)[0]
     parsed_spaces = pargs.spaces
     assert isinstance(parsed_spaces, SpatialReferences)
-    assert all(
-        isinstance(sp, Reference) for sp in parsed_spaces.references
-    ), 'Every element must be a `Reference`'
+    assert all(isinstance(sp, Reference) for sp in parsed_spaces.references), (
+        'Every element must be a `Reference`'
+    )
     assert len(parsed_spaces.references) == len(expected)
     for ref, expected_ref in zip(parsed_spaces.references, expected):
         assert str(ref) == expected_ref