Fixed norm test to include outdated numpy version.

theano/sandbox/linalg/tests/test_linalg.py

@@ -4,6 +4,7 @@ import numpy
 import numpy.linalg
 from numpy.testing import assert_array_almost_equal
 from numpy.testing import dec, assert_array_equal, assert_allclose
+from nose.plugins.skip import SkipTest
 
 import theano
 from theano import tensor, function
@@ -636,20 +637,42 @@ class Matrix_power():
         self.assertRaises(ValueError, f, a)
 
 class T_NormTests(unittest.TestCase):
+    try:
         def test_wrong_type_of_ord_for_vector(self):
             self.assertRaises(ValueError, norm, [2,1],'fro',0)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_wrong_type_of_ord_for_vector_in_matrix(self):
             self.assertRaises(ValueError, norm, [[2,1],[3,4]],'fro',0)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_wrong_type_of_ord_for_vector_in_tensor(self):
             self.assertRaises(ValueError, norm, [[[2,1],[3,4]],[[6,5],[7,8]]],'fro',0)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_wrong_type_of_ord_for_matrix(self):
             self.assertRaises(ValueError, norm, [[2,1],[3,4]],0,None)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_wrong_type_of_ord_for_matrix_in_tensor(self):
             self.assertRaises(ValueError, norm, [[[2,1],[3,4]],[[6,5],[7,8]]],0,None)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_non_tensorial_input(self):
             self.assertRaises(ValueError, norm, 3, None, None)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_no_enough_dimensions(self):
             self.assertRaises(ValueError, norm, [[2,1],[3,4]], None, 3)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
+    try:
         def test_numpy_compare(self):
             rng = numpy.random.RandomState(utt.fetch_seed())
             A = tensor.matrix("A", dtype=theano.config.floatX)
@@ -660,6 +683,8 @@ class T_NormTests(unittest.TestCase):
             n_n = numpy.linalg.norm(a, None, None)
             t_n = fn(a)
             assert _allclose(n_n, t_n)
+    except TypeError:
+        raise SkipTest('Your numpy version is outdated.')
 
 class T_lstsq(unittest.TestCase):
     def test_correct_solution(self):