PEP8

theano/scan_module/scan_op.py

@@ -1375,18 +1375,18 @@ class Scan(PureOp):
         def compute_gradient(y, g_y):
             if 'int' in str(g_y.dtype):
                 raise TypeError("Gradients may never be integers but g_y "
-                        "has type "+str(g_y.type))
+                        "has type " + str(g_y.type))
 
-            wrt  = [x for x in theano.gof.graph.inputs([y])
+            wrt = [x for x in theano.gof.graph.inputs([y])
                     if x in diff_inputs]
-            grads =  gradient.grad(
-                    cost = None,
-                    known_grads = {y : g_y },
+            grads = gradient.grad(
+                    cost=None,
+                    known_grads={y: g_y},
                     wrt=wrt, consider_constant=wrt,
                     disconnected_inputs='ignore',
                     return_disconnected='None')
             gmp = dict(zip(wrt, grads))
-            rval =  [gmp.get(p, None) for p in diff_inputs]
+            rval = [gmp.get(p, None) for p in diff_inputs]
             return rval
         dC_dinps_t = [None for inp in diff_inputs]
         disconnected_dC_dinps_t = [True for inp in diff_inputs]
@@ -1727,7 +1727,7 @@ class Scan(PureOp):
         node = outs[0].owner
         for idx in xrange(self.n_shared_outs):
             disconnected = True
-            connected_flags = self.connection_pattern(node)[idx+start]
+            connected_flags = self.connection_pattern(node)[idx + start]
             for dC_dout, connected in zip(dC_douts, connected_flags):
                 if (not isinstance(dC_dout.type, DisconnectedType) and
                         connected):

theano/scan_module/scan_opt.py

@@ -1342,7 +1342,7 @@ def scan_merge_inouts(node):
         return o
 
     def map_nitsot_out(i, o, sh, seen):
-        for p,(si, so, ssh) in enumerate(seen):
+        for p, (si, so, ssh) in enumerate(seen):
             if equal_computations([i], [si], left, right):
                 if equal_computations([sh], [ssh]):
                     return so
@@ -1354,7 +1354,7 @@ def scan_merge_inouts(node):
                 if vsh == vssh:
                     return so
                 elif vsh > vssh:
-                    seen[p] = (i,o,sh)
+                    seen[p] = (i, o, sh)
                     return o
                 else:
                     return so[:vsh]
@@ -1384,9 +1384,6 @@ def scan_merge_inouts(node):
                                             na.outer_out_nit_sot,
                                             shapes)]
 
-
-
-
     seen = []
     na.outer_out_sit_sot = [map_out(i, o, seen)
                             for i, o in zip(na.inner_out_sit_sot,

theano/scan_module/scan_utils.py

@@ -191,8 +191,6 @@ def get_updates_and_outputs(ls):
             this function know how to put it in that order?
 
     """
-
-
     def is_outputs(elem):
         if (isinstance(elem, (list, tuple)) and
             all([isinstance(x, theano.Variable) for x in elem])):
@@ -206,7 +204,7 @@ def get_updates_and_outputs(ls):
             # Make sure the updates will be applied in a deterministic order
             if not isinstance(elem, gof.python25.OrderedDict):
                 warnings.warn("Expected OrderedDict or OrderedUpdates, got "\
-                        +str(type(elem))+". This can make your script non-"
+                        + str(type(elem)) + ". This can make your script non-"
                         "deterministic.")
             return True
         # Dictionaries can be given as lists of tuples
@@ -253,7 +251,6 @@ def get_updates_and_outputs(ls):
                 'values, you can use `tensor.constant` to turn them into '
                  'Theano variables.')
 
-
     if is_outputs(ls):
         return None, _list(ls), OrderedDict()
     if is_updates(ls):