made the test compatible with the new way to allow easier debuging.

theano/tensor/tests/test_raw_random.py

@@ -9,7 +9,8 @@ from theano import tensor
 
 from theano import compile, gof
 
-def test_state_propagation():
+class T_test_module(unittest.TestCase):
+    def test_state_propagation(self):
         x = tensor.vector()
         rk = RandomKit('rk', 1000)
         f = compile.function([x, (rk, [gof.Container(r = gof.generic, storage = [123], name='bla')])], rk.binomial(tensor.shape(x)), mode='FAST_COMPILE')
@@ -21,7 +22,7 @@ def test_state_propagation():
             for j in xrange(i+1, 5):
                 assert not N.all(rvals[i] == rvals[j])
 
-def test_B():
+    def test_B(self):
         """Test that random numbers change from call to call!
         
         Also, make sure that the seeding strategy doesn't change without failing a test.
@@ -61,7 +62,6 @@ def test_B():
             print s
             assert s == rvals[i]
 
-
 if __name__ == '__main__':
-    unittest.main()
-
+    from theano.tests import main
+    main("test_raw_random")