small refactoring.

theano/tensor/tests/test_opt.py

@@ -1266,6 +1266,7 @@ class test_local_subtensor_merge(unittest.TestCase):
     def test_const(self):
         # var[const::][-1] -> var[-1]
         x = TT.matrix('x')
+        x_val = [[0,1],[2,3]]
         for idx in range(-5,4):
             f = function([x], x[idx::][-1], mode=mode_opt)
 
@@ -1276,7 +1277,6 @@ class test_local_subtensor_merge(unittest.TestCase):
             #print topo[-1].op
             assert isinstance(topo[-1].op, theano.compile.function_module.DeepCopyOp)
 
-            x_val = [[0,1],[2,3]]
             if idx<2:
                 # The first subtensor is non-empty, so it makes sense
                 f(x_val) # let debugmode test something
@@ -1325,6 +1325,7 @@ class test_local_subtensor_merge(unittest.TestCase):
     def test_const2(self):
         # var[::-1][const] -> var[-1]
         x = TT.matrix('x')
+        x_val = [[0,1],[2,3]]
         for idx in range(-5,4):
             f = function([x], x[::-1][idx], mode=mode_opt)
 
@@ -1335,7 +1336,6 @@ class test_local_subtensor_merge(unittest.TestCase):
             #print topo[-1].op
             assert isinstance(topo[-1].op, theano.compile.function_module.DeepCopyOp)
 
-            x_val = [[0,1],[2,3]]
             if idx<2 and idx>=-2:
                 # The first subtensor is non-empty, so it makes sense
                 f(x_val) # let debugmode test something
@@ -1384,6 +1384,7 @@ class test_local_subtensor_merge(unittest.TestCase):
     def test_const3(self):
         # var[::-1][:const] -> var[-1]
         x = TT.matrix('x')
+        x_val = [[0,1],[2,3]]
         for idx in range(-5,4):
             f = function([x], x[::-1][:idx], mode=mode_opt)
 
@@ -1394,7 +1395,6 @@ class test_local_subtensor_merge(unittest.TestCase):
             #print topo[-1].op
             assert isinstance(topo[-1].op, theano.compile.function_module.DeepCopyOp)
 
-            x_val = [[0,1],[2,3]]
             f(x_val) # let debugmode test something
 
     def test_scalar3(self):