Condition issue #4652 xfail on platform

Author: michaelosthege

pymc3/tests/test_ode.py

@@ -12,6 +12,8 @@
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
 
+import sys
+
 import aesara
 import numpy as np
 import pytest
@@ -168,7 +170,9 @@ def ode_func_5(y, t, p):
         np.testing.assert_array_equal(np.ravel(model5_sens_ic), model5._sens_ic)
 
 
-@pytest.mark.xfail(reason="See https://github.com/pymc-devs/pymc3/issues/4652.")
+@pytest.mark.xfail(
+    condition=sys.platform == "win32", reason="See https://github.com/pymc-devs/pymc3/issues/4652."
+)
 def test_logp_scalar_ode():
     """Test the computation of the log probability for these models"""
 

pymc3/tests/test_shape_handling.py

@@ -11,6 +11,8 @@
 #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
+import sys
+
 import aesara
 import numpy as np
 import pytest
@@ -333,7 +335,10 @@ def test_can_resize_data_defined_size(self):
             assert y.eval().shape == (3, 2)
             assert z.eval().shape == (3, 2)
 
-    @pytest.mark.xfail(reason="See https://github.com/pymc-devs/pymc3/issues/4652.")
+    @pytest.mark.xfail(
+        condition=sys.platform == "win32",
+        reason="See https://github.com/pymc-devs/pymc3/issues/4652.",
+    )
     def test_observed_with_column_vector(self):
         with pm.Model() as model:
             pm.Normal("x1", mu=0, sd=1, observed=np.random.normal(size=(3, 4)))