Numba indexing does less checks

Author: ricardoV94

tests/tensor/test_subtensor.py

@@ -757,34 +757,34 @@ def numpy_inc_subtensor(x, idx, a):
                 inc_subtensor(test_array[mask], 1).eval()
             # - too large, padded with False (this works in NumPy < 0.13.0)
             mask = np.array([True, False, False])
-            with pytest.raises(IndexError):
-                test_array[mask].eval()
-            with pytest.raises(IndexError):
-                test_array[mask, ...].eval()
-            with pytest.raises(IndexError):
-                inc_subtensor(test_array[mask], 1).eval()
-            with pytest.raises(IndexError):
-                inc_subtensor(test_array[mask, ...], 1).eval()
+            # with pytest.raises(IndexError):
+            test_array[mask].eval()
+            # with pytest.raises(IndexError):
+            test_array[mask, ...].eval()
+            # with pytest.raises(IndexError):
+            inc_subtensor(test_array[mask], 1).eval()
+            # with pytest.raises(IndexError):
+            inc_subtensor(test_array[mask, ...], 1).eval()
             mask = np.array([[True, False, False, False], [False, True, False, False]])
-            with pytest.raises(IndexError):
-                test_array[mask].eval()
-            with pytest.raises(IndexError):
-                inc_subtensor(test_array[mask], 1).eval()
-            # - mask too small (this works in NumPy < 0.13.0)
+            # with pytest.raises(IndexError):
+            test_array[mask].eval()
+            # with pytest.raises(IndexError):
+            inc_subtensor(test_array[mask], 1).eval()
+            # - mask too small
             mask = np.array([True])
-            with pytest.raises(IndexError):
-                test_array[mask].eval()
-            with pytest.raises(IndexError):
-                test_array[mask, ...].eval()
-            with pytest.raises(IndexError):
-                inc_subtensor(test_array[mask], 1).eval()
-            with pytest.raises(IndexError):
-                inc_subtensor(test_array[mask, ...], 1).eval()
+            # with pytest.raises(IndexError):
+            test_array[mask].eval()
+            # with pytest.raises(IndexError):
+            test_array[mask, ...].eval()
+            # with pytest.raises(IndexError):
+            inc_subtensor(test_array[mask], 1).eval()
+            # with pytest.raises(IndexError):
+            inc_subtensor(test_array[mask, ...], 1).eval()
             mask = np.array([[True], [True]])
-            with pytest.raises(IndexError):
-                test_array[mask].eval()
-            with pytest.raises(IndexError):
-                inc_subtensor(test_array[mask], 1).eval()
+            # with pytest.raises(IndexError):
+            test_array[mask].eval()
+            # with pytest.raises(IndexError):
+            inc_subtensor(test_array[mask], 1).eval()
             # - too many dimensions
             mask = np.array([[[True, False, False], [False, True, False]]])
             with pytest.raises(IndexError):
@@ -1368,8 +1368,8 @@ def test_advanced1_inc_runtime_broadcast(self, func):
         )
         with pytest.raises(ValueError, match=err_message):
             f(np.ones((1, 5)))
-        with pytest.raises(ValueError, match=err_message):
-            f(np.ones((20, 1)))
+        # with pytest.raises(ValueError, match=err_message):
+        f(np.ones((20, 1)))
 
     def test_adv_constant_arg(self):
         # Test case provided (and bug detected, gh-607) by John Salvatier