Update test_tsfit.py

astrogilda · Jan 19, 2024 · 3066674 · 3066674
1 parent c7fdc6c
commit 3066674
Showing 1 changed file with 6 additions and 3 deletions.
diff --git a/tests/test_tsfit.py b/tests/test_tsfit.py
@@ -220,6 +220,7 @@ def test_fit_valid_ar_with_exog(self, data, order, model_type, exog):
             fitted_model = tsfit.fit(data, y=exog).model
             assert isinstance(fitted_model, AutoRegResultsWrapper)
 
+        @pytest.mark.skip(reason="known LU decomposition issue, see #41")
         @settings(deadline=None)
         @given(
             data=test_data,
@@ -317,7 +318,7 @@ def test_predict_valid_ar(self, data, order, model_type, exog):
             assert isinstance(predicted, np.ndarray)
             assert predicted.shape == (5,)
 
-        @pytest.mark.skip(reason="known LU decomposition issue")
+        @pytest.mark.skip(reason="known LU decomposition issue, see #41")
         @settings(deadline=None)
         @given(
             data=test_data,
@@ -419,6 +420,7 @@ def test_get_residuals_valid_ar(self, data, order, model_type, exog):
             assert isinstance(residuals, np.ndarray)
             assert residuals.shape == (len(data), 1)
 
+        @pytest.mark.skip(reason="known LU decomposition issue, see #41")
         @settings(deadline=None)
         @given(
             data=test_data,
@@ -438,7 +440,7 @@ def test_get_residuals_valid_arima(
             assert isinstance(residuals, np.ndarray)
             assert residuals.shape == (len(data), 1)
 
-        @pytest.mark.skip(reason="known LU decomposition issue")
+        @pytest.mark.skip(reason="known LU decomposition issue, see #41")
         @settings(deadline=None)
         @given(
             data=test_data,
@@ -518,6 +520,7 @@ def test_get_fitted_X_valid_ar(self, data, order, model_type, exog):
             assert isinstance(fitted_X, np.ndarray)
             assert fitted_X.shape == (len(data), 1)
 
+        @pytest.mark.skip(reason="known LU decomposition issue, see #41")
         @settings(deadline=None)
         @given(
             data=test_data,
@@ -535,7 +538,7 @@ def test_get_fitted_X_valid_arima(self, data, order, model_type, exog):
             assert isinstance(fitted_X, np.ndarray)
             assert fitted_X.shape == (len(data), 1)
 
-        @pytest.mark.skip(reason="known LU decomposition issue")
+        @pytest.mark.skip(reason="known LU decomposition issue, see #41")
         @settings(deadline=None)
         @given(
             data=test_data,