some pep8

theano/gof/opt.py

@@ -514,7 +514,8 @@ class MergeFeature(object):
                 continue
 
             inputs_match = all(node_in is cand_in
-                    for node_in, cand_in in zip(node.inputs, candidate.inputs))
+                               for node_in, cand_in in zip(node.inputs,
+                                                           candidate.inputs))
             if inputs_match and node.op == candidate.op:
                 if (node, candidate) in self.blacklist:
                     # They were already tried, and there was an error
@@ -811,8 +812,8 @@ class LocalOptGroup(LocalOptimizer):
 
     def __str__(self):
         return getattr(self, '__name__',
-                ('<theano.gof.opt.LocalOptGroup instance>'
-                    + str([str(o) for o in self.opts])))
+                       ('<theano.gof.opt.LocalOptGroup instance>' +
+                        str([str(o) for o in self.opts])))
 
     def transform(self, node):
         for opt in self.opts:
@@ -990,9 +991,9 @@ class PatternSub(LocalOptimizer):
         else:
             raise TypeError("The pattern to search for must start with "
                             "a specific Op instance.")
-        self.__doc__ = (self.__class__.__doc__
-                + "\n\nThis instance does: "
-                + str(self) + "\n")
+        self.__doc__ = (self.__class__.__doc__ +
+                        "\n\nThis instance does: " +
+                        str(self) + "\n")
         self.allow_multiple_clients = allow_multiple_clients
         self.skip_identities_fn = skip_identities_fn
         if name:
@@ -1286,7 +1287,8 @@ class NavigatorOptimizer(Optimizer):
         except Exception, e:
             if self.failure_callback is not None:
                 self.failure_callback(e, self,
-                        [(x, None) for x in node.outputs], lopt)
+                                      [(x, None) for x in node.outputs],
+                                      lopt)
                 return False
             else:
                 raise
@@ -1623,7 +1625,8 @@ class EquilibriumOptimizer(NavigatorOptimizer):
                           + "%f with the theano flag 'optdb.max_use_ratio'." %
                           config.optdb.max_use_ratio)
 
-        return (self, loop_timing, loop_process_count, (start_nb_nodes, end_nb_nodes, max_nb_nodes),
+        return (self, loop_timing, loop_process_count,
+                (start_nb_nodes, end_nb_nodes, max_nb_nodes),
                 global_opt_timing, nb_nodes, time_opts, io_toposort_timing)
 
     def print_summary(self, stream=sys.stdout, level=0, depth=-1):
@@ -1637,7 +1640,8 @@ class EquilibriumOptimizer(NavigatorOptimizer):
 
     @staticmethod
     def print_profile(stream, prof, level=0):
-        (opt, loop_timing, loop_process_count, (start_nb_nodes, end_nb_nodes, max_nb_nodes),
+        (opt, loop_timing, loop_process_count,
+         (start_nb_nodes, end_nb_nodes, max_nb_nodes),
          global_opt_timing, nb_nodes, time_opts, io_toposort_timing) = prof
 
         blanc = ('    ' * level)