flake8

theano/gpuarray/opt.py

@@ -1901,7 +1901,6 @@ def local_gpu_elemwise_careduce(node):
             # operation with some reduction pattern will probably results
             # in slow down.
             isinstance(node.inputs[0].owner.op.scalar_op, scalar.basic.Sqr)):
-        op = node.op
         inp = node.inputs[0].owner.inputs[0]
         props = node.op._props_dict()
         props["pre_scalar_op"] = scalar.basic.sqr

theano/tensor/tests/test_basic.py

@@ -3094,7 +3094,6 @@ class T_max_and_argmax(unittest.TestCase):
     def test2_float16(self):
         data = rand(2, 3).astype("float16")
         n = shared(data)
-        mode = get_default_mode().including("local_max_and_argmax", "uncanonicalize")
         for (axis, np_axis) in [(-1, -1), (0, 0), (1, 1), (None, None),
                                 ([0, 1], None), ([1, 0], None),
                                 (NoneConst.clone(), None),