PEP8

theano/compile/profilemode.py

@@ -584,14 +584,21 @@ Test them first, as they are not guaranteed to always provide a speedup."""
         if not config.lib.amdlibm and any([exp_float32_op(a.op) and
                                            a.inputs[0].dtype == 'float32'
                                            for i, a in apply_time]):
-            print "  - With the default gcc libm, exp in float32 is slower than in float64! Try Theano flag floatX=float64, or install amdlibm and set the theano flags lib.amdlibm=True"
+            print ("  - With the default gcc libm, exp in float32 is slower "
+                   "than in float64! Try Theano flag floatX=float64, or "
+                   "install amdlibm and set the theano flags lib.amdlibm=True")
             printed_tip = True
 
         #tip 4
         for a, t in apply_time.iteritems():
             node = a[1]
-            if isinstance(node.op, T.Dot) and all([ len(i.type.broadcastable)==2 for i in node.inputs]):
-                print "  - You have a dot operation that was not optimized to dot22 (which is faster). Make sure the inputs are float32 or 64, and are the same for both inputs. Currently they are:",[i.type for i in node.inputs]
+            if (isinstance(node.op, T.Dot) and
+                all([len(i.type.broadcastable) == 2 for i in node.inputs])):
+                print ("  - You have a dot operation that was not optimized to"
+                       " dot22 (which is faster). Make sure the inputs are "
+                       "float32 or float64, and are the same for both inputs. "
+                       "Currently they are: %s" %
+                       [i.type for i in node.inputs])
                 printed_tip = True
 
         #tip 5
@@ -599,9 +606,13 @@ Test them first, as they are not guaranteed to always provide a speedup."""
             node = a[1]
             if isinstance(node.op, RandomFunction):
                 printed_tip = True
-                print "  - Replace the default random number generator by 'from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams', as this is is faster. It is still experimental, but seems to work correctly."
+                print ("  - Replace the default random number generator by "
+                       "'from theano.sandbox.rng_mrg import MRG_RandomStreams "
+                       "as RandomStreams', as this is is faster. It is still "
+                       "experimental, but seems to work correctly.")
                 if config.device.startswith("gpu"):
-                    print "     - MRG_RandomStreams is the only random number generator supported on the GPU."
+                    print ("     - MRG_RandomStreams is the only random number"
+                           " generator supported on the GPU.")
                 break
 
         if not printed_tip:

theano/compile/profiling.py

@@ -999,16 +999,25 @@ if 0: # old code still to be ported from ProfileMode
         #tip 4
         for a, t in apply_time.iteritems():
             node = a
-            if isinstance(node.op, T.Dot) and all([ len(i.type.broadcastable)==2 for i in node.inputs]):
-                print "  - You have a dot operation that was not optimized to dot22 that is faster. Make sure the inputs are float32 or 64 and are the same for both input. Currently they are:",[i.type for i in node.inputs]
+            if (isinstance(node.op, T.Dot) and
+                all([len(i.type.broadcastable) == 2 for i in node.inputs])):
+                print ("  - You have a dot operation that was not optimized "
+                       "to dot22 that is faster. Make sure the inputs are "
+                       "float32 or float64 and are the same for both inputs. "
+                       "Currently they are: %s" %
+                       [i.type for i in node.inputs])
 
         #tip 5
         for a, t in apply_time.iteritems():
             node = a
             if isinstance(node.op, RandomFunction):
-                print "  - Replace the default random number generator by 'from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams' as this is is faster. It is still experimental, but seam to work correctly."
+                print ("  - Replace the default random number generator by "
+                       "'from theano.sandbox.rng_mrg import MRG_RandomStreams "
+                       "as RandomStreams' as this is is faster. It is still "
+                       "experimental, but seams to work correctly.")
                 if config.device.startswith("gpu"):
-                    print "     - MRG_RandomStreams is the only random number supported on the GPU."
+                    print ("     - MRG_RandomStreams is the only random number"
+                           " supported on the GPU.")
                 break
 
     def print_summary(self,

theano/gof/vm.py

@@ -287,7 +287,6 @@ class Stack(VM):
         if self.allow_gc and self.dependencies is None:
             raise ValueError("Must set dependencies when using GC")
 
-
     def run_thunk_of_node(self, node):
         """Run the thunk corresponding to Apply instance `node`
 
@@ -661,7 +660,9 @@ class VM_Linker(link.LocalLinker):
 
         pre_call_clear = [storage_map[v] for v in self.no_recycling]
 
-        if self.callback is not None or (config.profile and config.profile_memory):
+        if (self.callback is not None or
+            (config.profile and config.profile_memory)):
+
             if self.use_cloop and self.callback is not None:
                 logger.warn('CVM does not support callback, using Stack VM.')
             if self.use_cloop and config.profile_memory: