FIX: PEP8 - E261 at least two spaces before inline comment

Author: miykael

doc/sphinxext/autosummary_generate.py

@@ -173,7 +173,7 @@ def get_documented_in_lines(lines, module=None, filename=None):
                     continue
 
                 if line.strip().startswith(':'):
-                    continue # skip options
+                    continue  # skip options
 
                 m = autosummary_item_re.match(line)
                 if m:

doc/sphinxext/numpy_ext/docscrape.py

@@ -31,15 +31,15 @@ def __init__(self, data):
         if isinstance(data, list):
             self._str = data
         else:
-            self._str = data.split('\n') # store string as list of lines
+            self._str = data.split('\n')  # store string as list of lines
 
         self.reset()
 
     def __getitem__(self, n):
         return self._str[n]
 
     def reset(self):
-        self._l = 0 # current line nr
+        self._l = 0  # current line nr
 
     def read(self):
         if not self.eof():
@@ -136,7 +136,7 @@ def _is_at_section(self):
         if l1.startswith('.. index::'):
             return True
 
-        l2 = self._doc.peek(1).strip() #    ---------- or ==========
+        l2 = self._doc.peek(1).strip()  # ---------- or ==========
         return l2.startswith('-'*len(l1)) or l2.startswith('='*len(l1))
 
     def _strip(self, doc):
@@ -154,7 +154,7 @@ def _read_to_next_section(self):
         section = self._doc.read_to_next_empty_line()
 
         while not self._is_at_section() and not self._doc.eof():
-            if not self._doc.peek(-1).strip(): # previous line was empty
+            if not self._doc.peek(-1).strip():  # previous line was empty
                 section += ['']
 
             section += self._doc.read_to_next_empty_line()
@@ -166,7 +166,7 @@ def _read_sections(self):
             data = self._read_to_next_section()
             name = data[0].strip()
 
-            if name.startswith('..'): # index section
+            if name.startswith('..'):  # index section
                 yield name, data[1:]
             elif len(data) < 2:
                 yield StopIteration
@@ -419,7 +419,7 @@ def header(text, style='-'):
 class FunctionDoc(NumpyDocString):
     def __init__(self, func, role='func', doc=None, config={}):
         self._f = func
-        self._role = role # e.g. "func" or "meth"
+        self._role = role  # e.g. "func" or "meth"
 
         if doc is None:
             if func is None:

examples/fmri_ants_openfmri.py

@@ -560,7 +560,7 @@ def get_subjectinfo(subject_id, base_dir, task_id, model_id):
     for idx in range(n_tasks):
         taskidx = np.where(taskinfo[:, 0] == 'task%03d' % (idx + 1))
         conds.append([condition.replace(' ', '_') for condition
-                      in taskinfo[taskidx[0], 2]]) # if 'junk' not in condition])
+                      in taskinfo[taskidx[0], 2]])  # if 'junk' not in condition])
         files = sorted(glob(os.path.join(base_dir,
                                          subject_id,
                                          'BOLD',
@@ -1061,7 +1061,7 @@ def get_subs(subject_id, conds, run_id, model_id, task_id):
                         help="Model index" + defstr)
     parser.add_argument('-x', '--subjectprefix', default='sub*',
                         help="Subject prefix" + defstr)
-    parser.add_argument('-t', '--task', default=1, #nargs='+',
+    parser.add_argument('-t', '--task', default=1,  # nargs='+',
                         type=int, help="Task index" + defstr)
     parser.add_argument('--hpfilter', default=120.,
                         type=float, help="High pass filter cutoff (in secs)" + defstr)

examples/fmri_fsl.py

@@ -510,7 +510,7 @@ def num_copes(files):
 # Specify the location of the data.
 data_dir = os.path.abspath('data')
 # Specify the subject directories
-subject_list = ['s1'] #, 's3']
+subject_list = ['s1']  # , 's3']
 # Map field names to individual subject runs.
 info = dict(func=[['subject_id', ['f3', 'f5', 'f7', 'f10']]],
             struct=[['subject_id', 'struct']])

examples/fmri_fsl_reuse.py

@@ -140,7 +140,7 @@ def num_copes(files):
 # Specify the location of the data.
 data_dir = os.path.abspath('data')
 # Specify the subject directories
-subject_list = ['s1'] #, 's3']
+subject_list = ['s1']  # , 's3']
 # Map field names to individual subject runs.
 info = dict(func=[['subject_id', ['f3', 'f5', 'f7', 'f10']]],
             struct=[['subject_id', 'struct']])

examples/fmri_openfmri.py

@@ -440,7 +440,7 @@ def get_subs(subject_id, conds, model_id, task_id):
                         help="Model index" + defstr)
     parser.add_argument('-x', '--subjectprefix', default='sub*',
                         help="Subject prefix" + defstr)
-    parser.add_argument('-t', '--task', default=1, #nargs='+',
+    parser.add_argument('-t', '--task', default=1,  # nargs='+',
                         type=int, help="Task index" + defstr)
     parser.add_argument("-o", "--output_dir", dest="outdir",
                         help="Output directory base")

examples/rsfmri_vol_surface_preprocessing.py

@@ -903,7 +903,7 @@ def get_names(files, suffix):
     datasink.inputs.base_directory = sink_directory
     datasink.inputs.container = subject_id
     datasink.inputs.substitutions = substitutions
-    datasink.inputs.regexp_substitutions = regex_subs #(r'(/_.*(\d+/))', r'/run\2')
+    datasink.inputs.regexp_substitutions = regex_subs  # (r'(/_.*(\d+/))', r'/run\2')
     wf.connect(realign, 'realignment_parameters', datasink, 'resting.qa.motion')
     wf.connect(art, 'norm_files', datasink, 'resting.qa.art.@norm')
     wf.connect(art, 'intensity_files', datasink, 'resting.qa.art.@intensity')
@@ -934,7 +934,7 @@ def get_names(files, suffix):
     datasink2.inputs.base_directory = sink_directory
     datasink2.inputs.container = subject_id
     datasink2.inputs.substitutions = substitutions
-    datasink2.inputs.regexp_substitutions = regex_subs #(r'(/_.*(\d+/))', r'/run\2')
+    datasink2.inputs.regexp_substitutions = regex_subs  # (r'(/_.*(\d+/))', r'/run\2')
     wf.connect(combiner, 'out_file',
                datasink2, 'resting.parcellations.grayo.@surface')
     return wf

examples/rsfmri_vol_surface_preprocessing_nipy.py

@@ -910,7 +910,7 @@ def get_names(files, suffix):
     datasink.inputs.base_directory = sink_directory
     datasink.inputs.container = subject_id
     datasink.inputs.substitutions = substitutions
-    datasink.inputs.regexp_substitutions = regex_subs #(r'(/_.*(\d+/))', r'/run\2')
+    datasink.inputs.regexp_substitutions = regex_subs  # (r'(/_.*(\d+/))', r'/run\2')
     wf.connect(realign, 'par_file', datasink, 'resting.qa.motion')
     wf.connect(art, 'norm_files', datasink, 'resting.qa.art.@norm')
     wf.connect(art, 'intensity_files', datasink, 'resting.qa.art.@intensity')
@@ -946,7 +946,7 @@ def get_names(files, suffix):
     datasink2.inputs.base_directory = sink_directory
     datasink2.inputs.container = subject_id
     datasink2.inputs.substitutions = substitutions
-    datasink2.inputs.regexp_substitutions = regex_subs #(r'(/_.*(\d+/))', r'/run\2')
+    datasink2.inputs.regexp_substitutions = regex_subs  # (r'(/_.*(\d+/))', r'/run\2')
     wf.connect(combiner, 'out_file',
                datasink2, 'resting.parcellations.grayo.@surface')
     return wf

examples/workshop_dartmouth_2010.py

@@ -131,7 +131,7 @@
 smooth = pe.Node(interface=fsl.Smooth(fwhm=6), name="smooth")
 
 motion_correct_and_smooth = pe.Workflow(name="motion_correct_and_smooth")
-motion_correct_and_smooth.base_dir = os.path.abspath('.') # define where will be the root folder for the workflow
+motion_correct_and_smooth.base_dir = os.path.abspath('.')  # define where will be the root folder for the workflow
 motion_correct_and_smooth.connect([
                                    (motion_correct, smooth, [('out_file', 'in_file')])
                                    ])

nipype/algorithms/metrics.py

@@ -544,11 +544,11 @@ def _run_interface(self, runtime):
         elif self.inputs.metric == 'euclidean':
             errvector = np.linalg.norm(diffvector, axis=1)
 
-        errvectorexp = np.zeros_like(mskvector, dtype=np.float32) # The default type is uint8
+        errvectorexp = np.zeros_like(mskvector, dtype=np.float32)  # The default type is uint8
         errvectorexp[msk_idxs] = errvector
 
         # Get averaged error
-        self._distance = np.average(errvector) # Only average the masked voxels
+        self._distance = np.average(errvector)  # Only average the masked voxels
 
         errmap = errvectorexp.reshape(mapshape)