pep8

theano/sandbox/cuda/tests/test_dnn.py

@@ -1060,8 +1060,7 @@ def test_dnn_conv_grad():
 def get_conv3d_test_cases():
     # Every element of test_shapes follows the format
     # [input_shape, filter_shape, subsample]
-    test_shapes = [  # Test with standard size inputs and kernels
-                   [(128, 3, 5, 5, 5), (64, 3, 1, 2, 4), (1, 1, 1)],
+    test_shapes = [[(128, 3, 5, 5, 5), (64, 3, 1, 2, 4), (1, 1, 1)],
                    [(8, 4, 20, 12, 15), (5, 4, 6, 12, 4), (2, 2, 2)],
                    [(8, 1, 20, 12, 15), (5, 1, 6, 12, 4), (3, 3, 3)],
                    [(8, 1, 20, 12, 15), (5, 1, 6, 12, 4), (3, 2, 1)],