pep8

theano/tensor/tests/test_utils.py

@@ -2,7 +2,7 @@ import numpy
 
 import theano
 from theano.tensor.utils import (hash_from_ndarray, hash_from_dict,
-        shape_of_variables)
+                                 shape_of_variables)
 
 
 def test_hash_from_ndarray():
@@ -10,18 +10,18 @@ def test_hash_from_ndarray():
     rng = numpy.random.rand(5, 5)
 
     for data in [-2, -1, 0, 1, 2, numpy.zeros((1, 5)), numpy.zeros((1, 6)),
-                  # Data buffer empty but different shapes
-                  numpy.zeros((1, 0)), numpy.zeros((2, 0)),
-                  # Same data buffer and shapes but different strides
-                  numpy.arange(25).reshape(5, 5),
-                  numpy.arange(25).reshape(5, 5).T,
-                  # Same data buffer, shapes and strides but different dtypes
-                  numpy.zeros((5, 5), dtype="uint32"),
-                  numpy.zeros((5, 5), dtype="int32"),
+                 # Data buffer empty but different shapes
+                 numpy.zeros((1, 0)), numpy.zeros((2, 0)),
+                 # Same data buffer and shapes but different strides
+                 numpy.arange(25).reshape(5, 5),
+                 numpy.arange(25).reshape(5, 5).T,
+                 # Same data buffer, shapes and strides but different dtypes
+                 numpy.zeros((5, 5), dtype="uint32"),
+                 numpy.zeros((5, 5), dtype="int32"),
 
-                  # Test slice
-                  rng, rng[1:], rng[:4], rng[1:3], rng[::2], rng[::-1]
-                  ]:
+                 # Test slice
+                 rng, rng[1:], rng[:4], rng[1:3], rng[::2], rng[::-1]
+                 ]:
         data = numpy.asarray(data)
         hashs.append(hash_from_ndarray(data))
 
@@ -49,6 +49,7 @@ def test_hash_from_dict():
     # List are not hashable. So they are transformed into tuple.
     assert hash_from_dict({0: (0,)}) == hash_from_dict({0: [0]})
 
+
 def test_shape_of_variables_simple():
     x = theano.tensor.matrix('x')
     y = x+x
@@ -62,6 +63,7 @@ def test_shape_of_variables_simple():
     assert shapes[x] == (5, 1)
     assert shapes[y] == (5, 5)
 
+
 def test_shape_of_variables_subtensor():
     x = theano.tensor.matrix('x')
     subx = x[1:]