make test easier to read

theano/tensor/tests/test_opt.py

@@ -1055,7 +1055,8 @@ class test_fusion(unittest.TestCase):
             if gpu:
                 import theano.sandbox.cuda as cuda
                 topo_ = [x for x in topo if not isinstance(
-                    x.op,cuda.basic_ops.GpuFromHost) and not isinstance(x.op,cuda.basic_ops.HostFromGpu)]
+                    x.op, (cuda.basic_ops.GpuFromHost, cuda.basic_ops.HostFromGpu))]
+
                 gpu_ = [x for x in topo if isinstance(x.op,
                     cuda.basic_ops.GpuFromHost)]
                 if not len(gpu_) == len(sym_inputs):
@@ -1066,13 +1067,16 @@ class test_fusion(unittest.TestCase):
                 if not len(topo_) == nb_elemwise:
                     fail3.append((id, topo_, nb_elemwise))
                 if nb_elemwise == 1:
-                    # check that the number of input to the Composite Elemwise is ok
-                    # when there is not variable that appear multiple time the in input
-                    # of g
-                    assert ((numpy.sum([not isinstance(x, theano.gof.Constant)
-                                        for x in topo_[0].inputs]) ==
-                             len(sym_inputs)) or
-                            len(set(g.owner.inputs)) != len(g.owner.inputs))
+                    # if no variable appears multiple times in the
+                    # input of g,
+                    # check that the number of input to the Composite
+                    # Elemwise is ok
+                    if len(set(g.owner.inputs)) == len(g.owner.inputs):
+                        expected_len_sym_inputs = numpy.sum(
+                            [not isinstance(x, theano.gof.Constant)
+                            for x in topo_[0].inputs])
+                        assert expected_len_sym_inputs == len(sym_inputs)
+
             if not out_dtype == out.dtype:
                 fail4.append((id, out_dtype, out.dtype))