FIX: PEP8 - E203 whitespace before ',' ':'

Author: miykael

doc/conf.py

@@ -169,8 +169,8 @@
 
 # Custom sidebar templates, maps document names to template names.
 html_sidebars = {'**': ['gse.html','localtoc.html', 'sidebar_versions.html', 'indexsidebar.html'],
-                 'searchresults' : ['sidebar_versions.html', 'indexsidebar.html'],
-                 'version' : []}
+                 'searchresults': ['sidebar_versions.html', 'indexsidebar.html'],
+                 'version': []}
 
 # Additional templates that should be rendered to pages, maps page names to
 # template names.

examples/fmri_freesurfer_smooth.py

@@ -215,7 +215,7 @@
 """
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 """
 Use :class:`nipype.interfaces.spm.EstimateContrast` to estimate the

examples/fmri_fsl_reuse.py

@@ -100,7 +100,7 @@ def sort_copes(files):
 def num_copes(files):
     return len(files)
 
-pickfirst = lambda x : x[0]
+pickfirst = lambda x: x[0]
 
 level1_workflow.connect([(preproc, fixed_fx, [(('outputspec.mask', pickfirst),
                                                'flameo.mask_file')]),

examples/fmri_spm.py

@@ -231,7 +231,7 @@ def subjectinfo(subject_id):
 """
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 """Use :class:`nipype.interfaces.spm.EstimateContrast` to estimate the
 first level contrasts specified in a few steps above.
@@ -368,7 +368,7 @@ def getstripdir(subject_id):
 # setup a 1-sample t-test node
 onesamplettestdes = pe.Node(interface=spm.OneSampleTTestDesign(), name="onesampttestdes")
 l2estimate = pe.Node(interface=spm.EstimateModel(), name="level2estimate")
-l2estimate.inputs.estimation_method = {'Classical' : 1}
+l2estimate.inputs.estimation_method = {'Classical': 1}
 l2conestimate = pe.Node(interface = spm.EstimateContrast(), name="level2conestimate")
 cont1 = ('Group','T', ['mean'],[1])
 l2conestimate.inputs.contrasts = [cont1]

examples/fmri_spm_auditory.py

@@ -173,7 +173,7 @@ def get_vox_dims(volume):
 """
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 threshold = pe.Node(interface=spm.Threshold(), name="threshold")
 

examples/fmri_spm_dartel.py

@@ -149,7 +149,7 @@
 """
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 """Use :class:`nipype.interfaces.spm.EstimateContrast` to estimate the
 first level contrasts specified in a few steps above.
@@ -500,7 +500,7 @@ def getstripdir(subject_id):
 # setup a 1-sample t-test node
 onesamplettestdes = pe.Node(interface=spm.OneSampleTTestDesign(), name="onesampttestdes")
 l2estimate = pe.Node(interface=spm.EstimateModel(), name="level2estimate")
-l2estimate.inputs.estimation_method = {'Classical' : 1}
+l2estimate.inputs.estimation_method = {'Classical': 1}
 l2conestimate = pe.Node(interface = spm.EstimateContrast(), name="level2conestimate")
 cont1 = ('Group','T', ['mean'],[1])
 l2conestimate.inputs.contrasts = [cont1]

examples/fmri_spm_face.py

@@ -164,7 +164,7 @@ def get_vox_dims(volume):
 """
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 threshold = pe.Node(interface=spm.Threshold(), name="threshold")
 

examples/fmri_spm_nested.py

@@ -155,7 +155,7 @@
 """
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 """Use :class:`nipype.interfaces.spm.EstimateContrast` to estimate the
 first level contrasts specified in a few steps above.
@@ -454,7 +454,7 @@ def getstripdir(subject_id):
 # setup a 1-sample t-test node
 onesamplettestdes = pe.Node(interface=spm.OneSampleTTestDesign(), name="onesampttestdes")
 l2estimate = pe.Node(interface=spm.EstimateModel(), name="level2estimate")
-l2estimate.inputs.estimation_method = {'Classical' : 1}
+l2estimate.inputs.estimation_method = {'Classical': 1}
 l2conestimate = pe.Node(interface = spm.EstimateContrast(), name="level2conestimate")
 cont1 = ('Group','T', ['mean'],[1])
 l2conestimate.inputs.contrasts = [cont1]

examples/frontiers_paper/smoothing_comparison.py

@@ -119,7 +119,7 @@ def chooseindex(roi):
 level1design.inputs.interscan_interval = specify_model.inputs.time_repetition
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 contrastestimate = pe.Node(interface = spm.EstimateContrast(),
                            name="contrastestimate")

examples/frontiers_paper/workflow_from_scratch.py

@@ -77,7 +77,7 @@
 level1design.inputs.interscan_interval = specify_model.inputs.time_repetition
 
 level1estimate = pe.Node(interface=spm.EstimateModel(), name="level1estimate")
-level1estimate.inputs.estimation_method = {'Classical' : 1}
+level1estimate.inputs.estimation_method = {'Classical': 1}
 
 contrastestimate = pe.Node(interface = spm.EstimateContrast(),
                            name="contrastestimate")