comply with PEP8

theano/tensor/basic.py

@@ -5322,8 +5322,8 @@ def _tensordot_as_dot(a, b, axes, dot, batched):
         outbcast = a.broadcastable[a_outaxes] + b.broadcastable[b_outaxes]
         outndim = len(outbcast)
 
-        a_shape = [1]*2
-        b_shape = [1]*2
+        a_shape = [1] * 2
+        b_shape = [1] * 2
 
         # compute total size of summed axes
         for i in xrange(0, axes):
@@ -5388,6 +5388,7 @@ def _tensordot_as_dot(a, b, axes, dot, batched):
         return _tensordot_as_dot(a_shuffled, b_shuffled, len(axes[0]),
                                  dot=dot, batched=batched)
 
+
 def tensordot(a, b, axes=2):
     """
     Compute a generalized dot product over provided axes.
@@ -5490,6 +5491,7 @@ def tensordot(a, b, axes=2):
     """
     return _tensordot_as_dot(a, b, axes, dot=dot, batched=False)
 
+
 def outer(x, y):
     """Return vector-vector outer product.