sty: white spaces

Author: satra

nipype/interfaces/spm/preprocess.py

@@ -599,7 +599,7 @@ class Segment(SPMCommand):
     >>> seg.run() # doctest: +SKIP
 
     """
-    
+
     if Info.version() and Info.version()['name'] == "SPM12":
         _jobtype = 'tools'
         _jobname = 'oldseg'

nipype/pipeline/engine.py

@@ -2045,8 +2045,8 @@ def __init__(self, interface, iterfield, name, serial=False, nested=False, **kwa
         serial : boolean
             flag to enforce executing the jobs of the mapnode in a serial manner rather than parallel
         nested : boolea
-            support for nested lists, if set the input list will be flattened before running, and the 
-            nested list structure of the outputs will be resored 
+            support for nested lists, if set the input list will be flattened before running, and the
+            nested list structure of the outputs will be resored
         See Node docstring for additional keyword arguments.
         """
 
@@ -2150,7 +2150,7 @@ def _make_nodes(self, cwd=None):
             cwd = self.output_dir()
         if self.nested:
             nitems = len(flatten(filename_to_list(getattr(self.inputs, self.iterfield[0]))))
-        else:    
+        else:
             nitems = len(filename_to_list(getattr(self.inputs, self.iterfield[0])))
         for i in range(nitems):
             nodename = '_' + self.name + str(i)
@@ -2216,14 +2216,14 @@ def _collate_results(self, nodes):
                     defined_vals = [isdefined(val) for val in values]
                     if any(defined_vals) and self._result.outputs:
                         setattr(self._result.outputs, key, values)
-        
+
         if self.nested:
             for key, _ in self.outputs.items():
                 values = getattr(self._result.outputs, key)
                 if isdefined(values):
                     values = unflatten(values, filename_to_list(getattr(self.inputs, self.iterfield[0])))
                 setattr(self._result.outputs, key, values)
-                        
+
         if returncode and any([code is not None for code in returncode]):
             msg = []
             for i, code in enumerate(returncode):

nipype/pipeline/tests/test_engine.py

@@ -487,7 +487,7 @@ def func1(in1):
     n1.run()
     print n1.get_output('out')
     yield assert_equal, n1.get_output('out'), [[2,[3]],4,[5,6]]
-    
+
     n2 = MapNode(Function(input_names=['in1'],
                           output_names=['out'],
                           function=func1),

nipype/utils/misc.py

@@ -206,7 +206,7 @@ def str2bool(v):
         return False
     else:
         raise ValueError("%s cannot be converted to bool"%v)
-    
+
 def flatten(S):
     if S == []:
         return S
@@ -217,14 +217,14 @@ def flatten(S):
 def unflatten(in_list, prev_structure):
     if not isinstance(in_list, Iterator):
         in_list = iter(in_list)
-        
+
     if not isinstance(prev_structure, list):
         return in_list.next()
     else:
         out = []
         for item in prev_structure:
             out.append(unflatten(in_list, item))
         return out
-    
-    
+
+
 

nipype/utils/tests/test_misc.py

@@ -54,19 +54,19 @@ def test_str2bool():
 
 def test_flatten():
     in_list = [[1,2,3],[4],[[5,6],7],8]
-    
+
     flat = flatten(in_list)
     yield assert_equal, flat, [1,2,3,4,5,6,7,8]
-    
+
     back = unflatten(flat, in_list)
     yield assert_equal, in_list, back
-    
+
     new_list = [2,3,4,5,6,7,8,9]
     back = unflatten(new_list, in_list)
     yield assert_equal, back, [[2,3,4],[5],[[6,7],8],9]
-    
+
     flat = flatten([])
     yield assert_equal, flat, []
-    
+
     back = unflatten([], [])
     yield assert_equal, back, []

nipype/workflows/fmri/fsl/estimate.py

@@ -90,7 +90,7 @@ def create_modelfit_workflow(name='modelfit', f_contrasts=False):
                                  iterfield=['tcon_file', 'fcon_file', 'param_estimates',
                                             'sigmasquareds', 'corrections',
                                             'dof_file'])
-    
+
     if f_contrasts:
         iterfield = ['in1', 'in2']
     else:
@@ -125,7 +125,7 @@ def create_modelfit_workflow(name='modelfit', f_contrasts=False):
         (level1design, modelgen, [('fsf_files', 'fsf_file'),
                                 ('ev_files', 'ev_files')]),
         (modelgen, modelestimate, [('design_file', 'design_file')]),
-        
+
         (merge_contrasts, ztopval,[('out', 'in_file')]),
         (ztopval, outputspec, [('out_file', 'pfiles')]),
         (merge_contrasts, outputspec,[('out', 'zfiles')]),