One of the uint64 tests no longer fails

Author: ricardoV94

tests/tensor/test_math.py

@@ -1412,30 +1412,34 @@ def _grad_list(self):
             "uint8",
             "uint16",
             "uint32",
-            pytest.param("uint64", marks=pytest.mark.xfail(reason="Fails due to #770")),
+            "uint64",
         ),
     )
     def test_uint(self, dtype):
         itype = np.iinfo(dtype)
-        data = np.array([itype.min + 3, itype.min, itype.max - 5, itype.max], dtype)
-        n = as_tensor_variable(data)
+        data = np.array(
+            [itype.min + 3, itype.min, itype.max - 5, itype.max], dtype=dtype
+        )
+        n = vector("n", shape=(None,), dtype=dtype)
 
-        assert min(n).dtype == dtype
-        i_min = eval_outputs(min(n))
+        min_out = min(n)
+        assert min_out.dtype == dtype
+        i_min = function([n], min_out)(data)
         assert i_min == itype.min
 
-        assert max(n).dtype == dtype
-        i_max = eval_outputs(max(n))
+        max_out = max(n)
+        assert max_out.dtype == dtype
+        i_max = function([n], max_out)(data)
         assert i_max == itype.max
 
     @pytest.mark.xfail(reason="Fails due to #770")
     def test_uint64_special_value(self):
         """Example from issue #770"""
         dtype = "uint64"
         data = np.array([0, 9223372036854775], dtype=dtype)
-        n = as_tensor_variable(data)
+        n = vector("n", shape=(None,), dtype=dtype)
 
-        i_max = eval_outputs(max(n))
+        i_max = function([n], max(n))(data)
         assert i_max == data.max()
 
     def test_bool(self):