sty: run black on related files

Author: oesteban

niworkflows/interfaces/images.py

@@ -26,13 +26,22 @@
 
 
 class _RegridToZoomsInputSpec(BaseInterfaceInputSpec):
-    in_file = File(exists=True, mandatory=True,
-                   desc="a file whose resolution is to change")
-    zooms = traits.Tuple(traits.Float, traits.Float, traits.Float,
-                         mandatory=True, desc="the new resolution")
+    in_file = File(
+        exists=True, mandatory=True, desc="a file whose resolution is to change"
+    )
+    zooms = traits.Tuple(
+        traits.Float,
+        traits.Float,
+        traits.Float,
+        mandatory=True,
+        desc="the new resolution",
+    )
     order = traits.Int(3, usedefault=True, desc="order of interpolator")
-    clip = traits.Bool(True, usedefault=True,
-                       desc="clip the data array within the original image's range")
+    clip = traits.Bool(
+        True,
+        usedefault=True,
+        desc="clip the data array within the original image's range",
+    )
 
 
 class _RegridToZoomsOutputSpec(TraitedSpec):
@@ -47,8 +56,10 @@ class RegridToZooms(SimpleInterface):
 
     def _run_interface(self, runtime):
         from ..utils.images import resample_by_spacing
+
         self._results["out_file"] = fname_presuffix(
-            self.inputs.in_file, suffix="_regrid", newpath=runtime.cwd)
+            self.inputs.in_file, suffix="_regrid", newpath=runtime.cwd
+        )
         resample_by_spacing(
             self.inputs.in_file,
             self.inputs.zooms,

niworkflows/utils/images.py

@@ -160,17 +160,19 @@ def resample_by_spacing(in_file, zooms, order=3, clip=True):
     new_card = nb.affines.from_matvec(np.diag(zooms), card[:3, 3] + offset)
 
     # Calculate the new indexes
-    new_grid = np.array(np.meshgrid(
-        np.arange(new_size[0]),
-        np.arange(new_size[1]),
-        np.arange(new_size[2]),
-        indexing="ij")
+    new_grid = np.array(
+        np.meshgrid(
+            np.arange(new_size[0]),
+            np.arange(new_size[1]),
+            np.arange(new_size[2]),
+            indexing="ij",
+        )
     ).reshape((3, -1))
 
     # Calculate the locations of the new samples, w.r.t. the original grid
-    ijk = np.linalg.inv(card).dot(new_card.dot(
-        np.vstack((new_grid, np.ones((1, new_grid.shape[1]))))
-    ))
+    ijk = np.linalg.inv(card).dot(
+        new_card.dot(np.vstack((new_grid, np.ones((1, new_grid.shape[1])))))
+    )
 
     # Resample data in the new grid
     resampled = map_coordinates(

niworkflows/utils/tests/test_images.py

@@ -2,7 +2,12 @@
 import numpy as np
 
 import pytest
-from ..images import update_header_fields, overwrite_header, dseg_label, resample_by_spacing
+from ..images import (
+    update_header_fields,
+    overwrite_header,
+    dseg_label,
+    resample_by_spacing,
+)
 
 
 def random_image():