Skip tests that cause fatal failures

Author: ricardoV94

tests/compile/function/test_types.py

@@ -340,6 +340,7 @@ def test_copy(self):
         # They should not be equal anymore
         assert not np.array_equal(f(1, 2), g(1, 2))
 
+    @pytest.mark.skip(reason="Causes fatal Python error in numba backend")
     def test_copy_share_memory(self):
         x = fscalar("x")
         # SharedVariable for tests, one of them has update
@@ -440,6 +441,7 @@ def test_swap_SharedVariable(self):
 
             second_time = True
 
+    @pytest.mark.skip(reason="Causes fatal Python error in numba backend")
     def test_swap_SharedVariable_with_given(self):
         # A special testcase for logistic_sgd.py in Deep Learning Tutorial
         # This test assert that SharedVariable in different function have same storage

tests/link/jax/test_scalar.py

@@ -249,6 +249,7 @@ def test_nnet():
     compare_jax_and_py(fgraph, [get_test_value(i) for i in fgraph.inputs])
 
 
+@pytest.mark.xfail(reason="Causes fatal Python error in numba backend")
 def test_jax_variadic_Scalar():
     mu = vector("mu", dtype=config.floatX)
     mu.tag.test_value = np.r_[0.1, 1.1].astype(config.floatX)

tests/tensor/rewriting/test_elemwise.py

@@ -895,21 +895,26 @@ def large_fuseable_graph(self, n):
                 "float32",
             ),
             # Multiple output cases  # 72
-            (
+            pytest.param(
                 (
-                    # sum(logp)
-                    pt_sum(-((fx - fy) ** 2) / 2),
-                    # grad(logp)
-                    pt.grad(pt_sum(-((fx - fy) ** 2) / 2), wrt=fx),
+                    (
+                        # sum(logp)
+                        pt_sum(-((fx - fy) ** 2) / 2),
+                        # grad(logp)
+                        pt.grad(pt_sum(-((fx - fy) ** 2) / 2), wrt=fx),
+                    ),
+                    (fx, fy),
+                    (fxv, fyv),
+                    2,
+                    (
+                        np.sum(-((fxv - fyv) ** 2) / 2),
+                        -(fxv - fyv),
+                    ),
+                    ("float32", "float32"),
                 ),
-                (fx, fy),
-                (fxv, fyv),
-                2,
-                (
-                    np.sum(-((fxv - fyv) ** 2) / 2),
-                    -(fxv - fyv),
+                marks=pytest.mark.skip(
+                    reason="Causes fatal Python error in numba backend"
                 ),
-                ("float32", "float32"),
             ),
             # Two Composite graphs that share the same input, but are split by
             # a non-elemwise operation (Assert)