sty: white space

Author: satra

nipype/interfaces/ants/registration.py

@@ -192,7 +192,7 @@ class RegistrationInputSpec(ANTSCommandInputSpec):
                                       requires=['sampling_strategy'], desc='')
     use_estimate_learning_rate_once = traits.List(traits.Bool(), desc='')
     use_histogram_matching = traits.List(traits.Bool(argstr='%s'), default=True, usedefault=True)
-    # Interpolation flag  
+    # Interpolation flag
     interpolation = traits.Enum('Linear',
                                 'NearestNeighbor',
                                 'CosineWindowedSinc',
@@ -339,9 +339,9 @@ def _format_arg(self, opt, spec, val):
             if self.inputs.invert_initial_moving_transform:
                 return '--initial-moving-transform [ %s, 1 ]' % self.inputs.initial_moving_transform
             else:
-                return '--initial-moving-transform [ %s, 0 ]' % self.inputs.initial_moving_transform    
-        elif opt == 'interpolation':  
-            # TODO: handle multilabel, gaussian, and bspline options  
+                return '--initial-moving-transform [ %s, 0 ]' % self.inputs.initial_moving_transform
+        elif opt == 'interpolation':
+            # TODO: handle multilabel, gaussian, and bspline options
             return '--interpolation %s' % self.inputs.interpolation
         elif opt == 'output_transform_prefix':
             if isdefined(self.inputs.output_inverse_warped_image) and self.inputs.output_inverse_warped_image:

nipype/interfaces/ants/resampling.py

@@ -106,9 +106,9 @@ class WarpImageMultiTransformInputSpec(ANTSCommandInputSpec):
     input_image = File(argstr='%s', mandatory=True,
                         desc=('image to apply transformation to (generally a '
                               'coregistered functional)'), position=2)
-    output_image = File(genfile=True, hash_files=False, argstr='%s', 
+    output_image = File(genfile=True, hash_files=False, argstr='%s',
                         desc=('name of the output warped image'), position = 3, xor=['out_postfix'])
-    out_postfix = File("_wimt", usedefault=True, hash_files=False, 
+    out_postfix = File("_wimt", usedefault=True, hash_files=False,
                         desc=('Postfix that is prepended to all output '
                                    'files (default = _wimt)'), xor=['output_image'])
     reference_image = File(argstr='-R %s', xor=['tightest_box'],
@@ -166,7 +166,7 @@ class WarpImageMultiTransform(ANTSCommand):
     _cmd = 'WarpImageMultiTransform'
     input_spec = WarpImageMultiTransformInputSpec
     output_spec = WarpImageMultiTransformOutputSpec
-    
+
     def _gen_filename(self, name):
         if name == 'output_image':
             _, name, ext = split_filename(os.path.abspath(self.inputs.input_image))

nipype/interfaces/fsl/preprocess.py

@@ -153,7 +153,7 @@ def _gen_outfilename(self):
     def _list_outputs(self):
         outputs = self.output_spec().get()
         outputs['out_file'] = self._gen_outfilename()
-        if ((isdefined(self.inputs.mesh) and self.inputs.mesh) or 
+        if ((isdefined(self.inputs.mesh) and self.inputs.mesh) or
                 (isdefined(self.inputs.surfaces) and self.inputs.surfaces)):
             outputs['meshfile'] = self._gen_fname(outputs['out_file'],
                                                suffix='_mesh.vtk',

nipype/interfaces/fsl/utils.py

@@ -1151,14 +1151,14 @@ def _list_outputs(self):
             outputs['exf_mask'] = self._gen_fname(cwd=self.inputs.tmpdir,
                                                   basename='maskexf')
         return outputs
-    
+
 class Reorient2StdInputSpec(FSLCommandInputSpec):
     in_file = File(exists=True, mandatory=True, argstr="%s")
     out_file = File(genfile=True, hash_files=False, argstr="%s")
-    
+
 class Reorient2StdOutputSpec(TraitedSpec):
     out_file = File(exists=True)
-    
+
 class Reorient2Std(FSLCommand):
     """fslreorient2std is a tool for reorienting the image to match the
     approximate orientation of the standard template images (MNI152).
@@ -1180,7 +1180,7 @@ def _gen_filename(self, name):
             return self._gen_fname(self.inputs.in_file,
                                   suffix="_reoriented")
         return None
-    
+
     def _list_outputs(self):
         outputs = self.output_spec().get()
         if not isdefined(self.inputs.out_file):

nipype/workflows/smri/ants/ANTSBuildTemplate.py

@@ -98,14 +98,14 @@ def ANTSTemplateBuildSingleIterationWF(iterationPhasePrefix=''):
     Inputs::
 
            inputspec.images :
-           inputspec.fixed_image : 
+           inputspec.fixed_image :
            inputspec.ListOfPassiveImagesDictionaries :
 
     Outputs::
 
            outputspec.template :
            outputspec.transforms_list :
-           outputspec.passive_deformed_templates : 
+           outputspec.passive_deformed_templates :
     """
 
 

nipype/workflows/smri/ants/antsRegistrationBuildTemplate.py

@@ -155,15 +155,15 @@ def antsRegistrationTemplateBuildSingleIterationWF(iterationPhasePrefix=''):
     Inputs::
 
            inputspec.images :
-           inputspec.fixed_image : 
+           inputspec.fixed_image :
            inputspec.ListOfPassiveImagesDictionaries :
            inputspec.interpolationMapping :
 
     Outputs::
 
            outputspec.template :
            outputspec.transforms_list :
-           outputspec.passive_deformed_templates : 
+           outputspec.passive_deformed_templates :
     """
     TemplateBuildSingleIterationWF = pe.Workflow(name = 'antsRegistrationTemplateBuildSingleIterationWF_'+str(iterationPhasePrefix) )