STY: black

Author: effigies

nipype/interfaces/base/traits_extension.py

@@ -26,6 +26,7 @@
 import traits.api as traits
 from traits.api import TraitType, Unicode
 from traits.trait_base import _Undefined
+
 try:
     # Moved in traits 6.0
     from traits.trait_type import NoDefaultSpecified

nipype/interfaces/freesurfer/utils.py

@@ -2592,8 +2592,10 @@ class EulerNumberInputSpec(FSTraitedSpec):
 
 
 class EulerNumberOutputSpec(TraitedSpec):
-    euler = traits.Int(desc="Euler number of cortical surface. A value of 2 signals a "
-                            "topologically correct surface model with no holes")
+    euler = traits.Int(
+        desc="Euler number of cortical surface. A value of 2 signals a "
+        "topologically correct surface model with no holes"
+    )
     defects = traits.Int(desc="Number of defects")
 
 
@@ -2621,7 +2623,7 @@ def _run_interface(self, runtime):
 
     def _parse_output(self, stdout, stderr):
         """Parse stdout / stderr and extract defects"""
-        m = re.search(r'(?<=total defect index = )\d+', stdout or stderr)
+        m = re.search(r"(?<=total defect index = )\d+", stdout or stderr)
         if m is None:
             raise RuntimeError("Could not fetch defect index")
         self._defects = int(m.group())

nipype/interfaces/fsl/tests/test_model.py

@@ -7,18 +7,25 @@
 import nipype.interfaces.fsl.model as fsl
 from nipype.interfaces.fsl import no_fsl
 from pathlib import Path
-from ....pipeline import engine as pe 
+from ....pipeline import engine as pe
 
 
 @pytest.mark.skipif(no_fsl(), reason="fsl is not installed")
 def test_MultipleRegressDesign(tmpdir):
-    designer = pe.Node(fsl.MultipleRegressDesign(), name='designer', base_dir=str(tmpdir))
+    designer = pe.Node(
+        fsl.MultipleRegressDesign(), name="designer", base_dir=str(tmpdir)
+    )
     designer.inputs.regressors = dict(
         voice_stenght=[1, 1, 1], age=[0.2, 0.4, 0.5], BMI=[1, -1, 2]
     )
     con1 = ["voice_and_age", "T", ["age", "voice_stenght"], [0.5, 0.5]]
     con2 = ["just_BMI", "T", ["BMI"], [1]]
-    designer.inputs.contrasts = [con1, con2, ["con3", "F", [con1, con2]], ["con4", "F", [con2]]]
+    designer.inputs.contrasts = [
+        con1,
+        con2,
+        ["con3", "F", [con1, con2]],
+        ["con4", "F", [con2]],
+    ]
     res = designer.run()
     outputs = res.outputs.get_traitsfree()
 
@@ -27,7 +34,9 @@ def test_MultipleRegressDesign(tmpdir):
 
     expected_content = {}
 
-    expected_content["design_mat"] = """/NumWaves       3
+    expected_content[
+        "design_mat"
+    ] = """/NumWaves       3
 /NumPoints      3
 /PPheights      3.000000e+00 5.000000e-01 1.000000e+00
 
@@ -37,7 +46,9 @@ def test_MultipleRegressDesign(tmpdir):
 2.000000e+00 5.000000e-01 1.000000e+00
 """
 
-    expected_content["design_con"] = """/ContrastName1   voice_and_age
+    expected_content[
+        "design_con"
+    ] = """/ContrastName1   voice_and_age
 /ContrastName2   just_BMI
 /NumWaves       3
 /NumContrasts   2
@@ -49,15 +60,19 @@ def test_MultipleRegressDesign(tmpdir):
 1.000000e+00 0.000000e+00 0.000000e+00
 """
 
-    expected_content["design_fts"] = """/NumWaves       2
+    expected_content[
+        "design_fts"
+    ] = """/NumWaves       2
 /NumContrasts   2
 
 /Matrix
 1 1
 0 1
 """
 
-    expected_content["design_grp"] = """/NumWaves       1
+    expected_content[
+        "design_grp"
+    ] = """/NumWaves       1
 /NumPoints      3
 
 /Matrix

nipype/interfaces/io.py

@@ -450,7 +450,7 @@ def _check_s3_base_dir(self):
 
         s3_flag = base_directory.lower().startswith(s3_str)
         if s3_flag:
-            bucket_name = base_directory[len(s3_str):].partition('/')[0]
+            bucket_name = base_directory[len(s3_str) :].partition("/")[0]
 
         return s3_flag, bucket_name
 
@@ -610,7 +610,7 @@ def _upload_to_s3(self, bucket, src, dst):
 
         # Explicitly lower-case the "s3"
         if dst.lower().startswith(s3_str):
-            dst = s3_str + dst[len(s3_str):]
+            dst = s3_str + dst[len(s3_str) :]
 
         # If src is a directory, collect files (this assumes dst is a dir too)
         if os.path.isdir(src):