[ENH] Test segfaults on partial_fit

sktree/tests/test_honest_forest.py

@@ -270,7 +270,7 @@ def test_sklearn_compatible_estimator(estimator, check):
         "check_class_weight_classifiers",
         # TODO: this is an error. Somehow a segfault is raised when fit is called first and
         # then partial_fit
-        "check_fit_score_takes_y",
+        # "check_fit_score_takes_y",
     ]:
         pytest.skip()
     check(estimator)

sktree/tests/test_supervised_forest.py

@@ -193,15 +193,15 @@ def _trunk(n, p=10, random_state=None):
 )
 def test_sklearn_compatible_estimator(estimator, check):
     # TODO: remove when we can replicate the CI error...
-    if isinstance(
-        estimator,
-        (
-            ExtraObliqueRandomForestClassifier,
-            ObliqueRandomForestClassifier,
-            PatchObliqueRandomForestClassifier,
-        ),
-    ) and check.func.__name__ in ["check_fit_score_takes_y"]:
-        pytest.skip()
+    # if isinstance(
+    #     estimator,
+    #     (
+    #         ExtraObliqueRandomForestClassifier,
+    #         ObliqueRandomForestClassifier,
+    #         PatchObliqueRandomForestClassifier,
+    #     ),
+    # ) and check.func.__name__ in ["check_fit_score_takes_y"]:
+    #     pytest.skip()
     check(estimator)
 
 

sktree/tree/tests/test_tree.py

@@ -225,10 +225,10 @@ def test_pickle_splitters():
 )
 def test_sklearn_compatible_estimator(estimator, check):
     # TODO: remove when we can replicate the CI error...
-    if isinstance(
-        estimator, (PatchObliqueDecisionTreeClassifier, ExtraObliqueDecisionTreeClassifier)
-    ) and check.func.__name__ in ["check_fit_score_takes_y"]:
-        pytest.skip()
+    # if isinstance(
+    #     estimator, (PatchObliqueDecisionTreeClassifier, ExtraObliqueDecisionTreeClassifier)
+    # ) and check.func.__name__ in ["check_fit_score_takes_y"]:
+    #     pytest.skip()
     check(estimator)