flake8

theano/tensor/nnet/tests/test_abstract_conv.py

@@ -230,7 +230,7 @@ class TestAssertConvShape(unittest.TestCase):
 
 
 class TestAssertShape(unittest.TestCase):
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_basic(self):
         x = tensor.tensor4()
         s1 = tensor.iscalar()
@@ -246,7 +246,7 @@ class TestAssertShape(unittest.TestCase):
         assert_raises(AssertionError, f, v, 0, 7)
         assert_raises(AssertionError, f, v, 7, 7)
 
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_shape_check_conv2d(self):
         input = tensor.tensor4()
         filters = tensor.tensor4()
@@ -264,7 +264,7 @@ class TestAssertShape(unittest.TestCase):
                       numpy.zeros((3, 5, 7, 11), dtype='float32'),
                       numpy.zeros((7, 5, 2, 2), dtype='float32'))
 
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_shape_check_conv3d(self):
         input = tensor.tensor5()
         filters = tensor.tensor5()
@@ -282,7 +282,7 @@ class TestAssertShape(unittest.TestCase):
                       numpy.zeros((3, 5, 7, 11, 13), dtype='float32'),
                       numpy.zeros((7, 5, 2, 2, 2), dtype='float32'))
 
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_shape_check_conv2d_grad_wrt_inputs(self):
         output_grad = tensor.tensor4()
         filters = tensor.tensor4()
@@ -296,7 +296,7 @@ class TestAssertShape(unittest.TestCase):
                       numpy.zeros((3, 6, 5, 9), dtype='float32'),
                       numpy.zeros((7, 6, 3, 3), dtype='float32'))
 
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_shape_check_conv3d_grad_wrt_inputs(self):
         output_grad = tensor.tensor5()
         filters = tensor.tensor5()
@@ -310,7 +310,7 @@ class TestAssertShape(unittest.TestCase):
                       numpy.zeros((3, 6, 5, 9, 11), dtype='float32'),
                       numpy.zeros((7, 6, 3, 3, 3), dtype='float32'))
 
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_shape_check_conv2d_grad_wrt_weights(self):
         input = tensor.tensor4()
         output_grad = tensor.tensor4()
@@ -324,7 +324,7 @@ class TestAssertShape(unittest.TestCase):
                       numpy.zeros((3, 6, 7, 11), dtype='float32'),
                       numpy.zeros((3, 7, 5, 9), dtype='float32'))
 
-    @change_flags([("conv.assert_shape",True)])
+    @change_flags([("conv.assert_shape", True)])
     def test_shape_check_conv3d_grad_wrt_weights(self):
         input = tensor.tensor5()
         output_grad = tensor.tensor5()