Enable long ints in reshape

theano/tensor/basic.py

@@ -6124,7 +6124,8 @@ def stack(*tensors):
     # See ticket #660
     if numpy.all([
                   # in case there is direct int in tensors.
-                  isinstance(t, (numpy.number, float, int, python_complex)) or
+                  isinstance(t, (numpy.number, float, int, python_complex,
+                                 long)) or
                   (isinstance(t, Variable) and
                    isinstance(t.type, TensorType) and
                    t.ndim == 0)

theano/tensor/tests/test_basic.py

@@ -5150,6 +5150,12 @@ class T_reshape(unittest.TestCase):
 
         assert numpy.all(f_sub(a_val, b_val) == [2, 3])
 
+    def test_reshape_long_in_shape(self):
+        v = vector('v')
+        r = v.reshape((v.shape[0], 1L))
+        print r.eval({v: numpy.arange(5.)})
+        assert numpy.allclose(r.eval({v: numpy.arange(5.)}).T, numpy.arange(5.))
+
     def test_bad_shape(self):
         a = matrix('a')
         shapes = ivector('shapes')