pep8 compatibility

theano/sandbox/scan_module/scan.py

@@ -361,9 +361,9 @@ def scan(fn,
         if arg_info.get('taps', None) == [-1]:
             mintaps.append(1)
             lengths.append(scalar_shared(numpy.int64(0),
-                                         name = 'l%d' % pos))
+                                         name='l%d' % pos))
             arg_info['initial'] = scan_utils.expand(tensor.unbroadcast(
-                    tensor.shape_padleft(arg_info['initial']),0), T)
+                    tensor.shape_padleft(arg_info['initial']), 0), T)
         elif arg_info.get('taps', None):
             if numpy.any(numpy.array(arg_info.get('taps', [])) > 0):
                 # Make sure we do not have requests for future values of a
@@ -372,14 +372,14 @@ def scan(fn,
                                  arg_info)
             mintap = abs(numpy.min(arg_info['taps']))
             lengths.append(scalar_shared(numpy.int64(0),
-                                         name = 'l%d' % pos))
+                                         name='l%d' % pos))
             mintaps.append(mintap)
             arg_info['initial'] = scan_utils.expand(
                 arg_info['initial'][:mintap], T)
         else:
             mintaps.append(0)
             lengths.append(scalar_shared(numpy.int64(0),
-                                         name = 'l%d' % pos))
+                                         name='l%d' % pos))
 
     # 3. Generate arguments for the function passed to scan. This will
     # function will return the outputs that need to be computed at every
@@ -509,7 +509,7 @@ def scan(fn,
     scan_outputs = []
     for pos in xrange(len(states_and_outputs)):
         out = scan_utils.ScanPermutation(mintaps[pos])(
-            scan_outputs_update_rules[pos],t)
+            scan_outputs_update_rules[pos], t)
         scan_outputs.append(out[mintap:])
     # 5.6 Construct updates dictionary
     update_rules = scan_outputs_update_rules[len(states_and_outputs):]