pep8

theano/tensor/subtensor.py

@@ -1296,7 +1296,7 @@ class IncSubtensor(Op):
             ** helper_args
         )
 
-        #Make a view on the output, as we will write into it.
+        # Make a view on the output, as we will write into it.
         alloc_zview = self.make_view_array(z, view_ndim)
 
         build_view = """
@@ -1545,7 +1545,8 @@ class AdvancedSubtensor1(Op):
             if not numpy.can_cast(i.dtype, numpy.intp):
                 # Check if there was actually an incorrect conversion
                 if numpy.any(i != i_):
-                    raise IndexError('index contains values that are bigger '
+                    raise IndexError(
+                        'index contains values that are bigger '
                         'than the maximum array size on this system.', i)
             i = i_
 
@@ -1737,7 +1738,8 @@ class AdvancedIncSubtensor1(Op):
                 opname = 'set'
             else:
                 opname = 'increment'
-            raise TypeError('cannot %s x subtensor with ndim=%s'
+            raise TypeError(
+                'cannot %s x subtensor with ndim=%s'
                 ' by y with ndim=%s to x subtensor with ndim=%s ' % (
                     opname, x_.type.ndim, y_.type.ndim))
 
@@ -1842,7 +1844,7 @@ def adv_index_broadcastable_pattern(a, idx):
 
     newidx = tuple(map(replace_slice, idx))
 
-    #2 - True = 1; 2 - False = 2
+    # 2 - True = 1; 2 - False = 2
     fakeshape = [2 - bc for bc in a.broadcastable]
     retshape = numpy.empty(fakeshape)[newidx].shape
     return tuple([dim == 1 for dim in retshape])
@@ -1907,8 +1909,6 @@ class AdvancedSubtensor(Op):
                 'are too big (>= 2^32 elements). It is possible that '
                 'out[0] (%s), with shape %s, is not correctly filled.'
                 % (out[0], out[0].shape))
-        # return
-        #raise NotImplementedError()
 
     def connection_pattern(self, node):
 
@@ -1961,7 +1961,8 @@ class AdvancedIncSubtensor(Op):
     def __str__(self):
         return "%s{%s, %s}" % (self.__class__.__name__,
                                "inplace=" + str(self.inplace),
-                " set_instead_of_inc=" + str(self. set_instead_of_inc))
+                               " set_instead_of_inc=" +
+                               str(self. set_instead_of_inc))
 
     def make_node(self, x, y, *inputs):
         x = theano.tensor.as_tensor_variable(x)
@@ -2004,7 +2005,8 @@ class AdvancedIncSubtensor(Op):
 
         return gof.Apply(op,
                          (x, y) + inputs,
-                        [theano.tensor.tensor(dtype=x.type.dtype,
+                         [theano.tensor.tensor(
+                             dtype=x.type.dtype,
                              broadcastable=x.type.broadcastable)])
 
     def perform(self, node, inputs, out_):