backport test to python24

theano/tensor/tests/test_basic.py

@@ -654,6 +654,7 @@ class T_max_and_argmax(unittest.TestCase):
         _logger = logging.getLogger('theano.gof.opt')
         oldlevel = _logger.getEffectiveLevel()
         _logger.setLevel(logging.CRITICAL)
+        try:
             try:
                 eval_outputs(max_and_argmax(n,3))
                 assert False
@@ -665,6 +666,7 @@ class T_max_and_argmax(unittest.TestCase):
         n = as_tensor_variable(numpy.random.rand(2,3))
         old_stderr = sys.stderr
         sys.stderr = StringIO.StringIO()
+        try:
             try:
                 eval_outputs(max_and_argmax(n,-3))
                 assert False
@@ -725,6 +727,7 @@ class T_subtensor(unittest.TestCase):
         _logger = logging.getLogger('theano.gof.opt')
         oldlevel = _logger.getEffectiveLevel()
         _logger.setLevel(logging.CRITICAL)
+        try:
             try:
                 tval = eval_outputs([t])
                 assert 0
@@ -802,6 +805,7 @@ class T_subtensor(unittest.TestCase):
         _logger = logging.getLogger('theano.gof.opt')
         oldlevel = _logger.getEffectiveLevel()
         _logger.setLevel(logging.CRITICAL)
+        try:
             try:
                 tval = eval_outputs([t])
                 assert 0
@@ -815,6 +819,7 @@ class T_subtensor(unittest.TestCase):
         self.failUnless(isinstance(t.owner.op, Subtensor))
         old_stderr = sys.stderr
         sys.stderr = StringIO.StringIO()
+        try:
             try:
                 tval = eval_outputs([t])
             except Exception, e:
@@ -1496,6 +1501,7 @@ class t_dot(unittest.TestCase):
         _logger = logging.getLogger('theano.gof.opt')
         oldlevel = _logger.getEffectiveLevel()
         _logger.setLevel(logging.CRITICAL)
+        try:
             try:
                 tz = eval_outputs([z])
                 assert False # should have raised exception