Fix errors uncovered by buildbot.

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -231,7 +231,7 @@ def test_careduce():
             pat = tensor_pattern_to_gpu_pattern(shape, pattern)
 
             a = tensor.TensorType('float32', (False,) * len(shape))()
-            dim_pattern = range(len(shape))
+            dim_pattern = list(range(len(shape)))
             dim_pattern[0] = 1
             dim_pattern[1] = 0
             a = a.dimshuffle(dim_pattern)
@@ -421,7 +421,8 @@ def test_elemwise0():
     f = pfunc([b], [], updates=[(a, a + b)], mode=mode_with_gpu)
 
     # check that we work inplace.
-    assert f.maker.fgraph.toposort()[1].op.destroy_map.items() == [(0, [0])]
+    assert (list(f.maker.fgraph.toposort()[1].op.destroy_map.items())
+            == [(0, [0])])
 
     a0 = a.get_value() * 1.0
     f(numpy.ones((4, 4), dtype='float32'))

theano/scan_module/tests/test_scan.py

@@ -4580,7 +4580,7 @@ class T_Scan_Cuda(unittest.TestCase, ScanGpuTests):
         # graph, detect the inconsistencies and raise a TypeError
         folder = os.path.dirname(os.path.abspath(__file__))
         path = os.path.join(folder, "inconsistent_scan.pkl")
-        assert_raises(TypeError, cPickle.load, open(path, "r"))
+        assert_raises(TypeError, pickle.load, open(path, "r"))
 
     def test_consistent_inner_fct(self):
         # Test that scan does not falsely detect inconsistencies in a valid
@@ -4589,7 +4589,7 @@ class T_Scan_Cuda(unittest.TestCase, ScanGpuTests):
         rs = theano.sandbox.rng_mrg.MRG_RandomStreams(use_cuda=True)
         output, _ = theano.scan(lambda : rs.uniform((3,), dtype="float32"),
                                 n_steps=3)
-        cPickle.loads(cPickle.dumps(output))
+        pickle.loads(pickle.dumps(output))
 
         # Also ensure that, after compilation, the Scan has been moved
         # on the gpu