PEP8 formatting and correct name for test.

theano/tensor/tests/test_basic.py

@@ -2605,7 +2605,7 @@ class T_subtensor(unittest.TestCase):
             val = f()
             self.assertTrue(numpy.allclose(val, data[idx].shape))
 
-    def test_gradgrad_advanced_inc_subtensor(self):
+    def test_grad_advanced_inc_subtensor(self):
         def inc_slice(*s):
             def just_numeric_args(a,b):
                 cost = (a[s] + b).sum()
@@ -2614,24 +2614,22 @@ class T_subtensor(unittest.TestCase):
                 grads = cost_wrt_a.sum() + cost_wrt_b.sum()
                 return grads
             return just_numeric_args
-        
+
         # vector
         utt.verify_grad(
-                inc_slice(slice(2,4,None)),
-                (numpy.asarray([0,1,2,3,4,5.]),
-                    numpy.asarray([9,9.]),))
+            inc_slice(slice(2, 4, None)),
+            (numpy.asarray([0, 1, 2, 3, 4, 5.]), numpy.asarray([9, 9.]),))
 
         # matrix
         utt.verify_grad(
-                inc_slice(slice(1,2,None), slice(None, None, None)),
-                (numpy.asarray([[0,1],[2,3],[4,5.]]),
-                    numpy.asarray([[9,9.]]),))
+            inc_slice(slice(1, 2, None), slice(None, None, None)),
+            (numpy.asarray([[0, 1], [2, 3], [4, 5.]]),
+             numpy.asarray([[9, 9.]]),))
 
         #single element
         utt.verify_grad(
-                inc_slice(2, 1),
-                (numpy.asarray([[0,1],[2,3],[4,5.]]),
-                    numpy.asarray(9.),))
+            inc_slice(2, 1),
+            (numpy.asarray([[0, 1],[2, 3],[4, 5.]]), numpy.asarray(9.),))
 
 
 class TestIncSubtensor1(unittest.TestCase):