chore: import upstream snapshot with attribution

tests/pyfunc/test_pyfunc_exceptions.py

@@ -0,0 +1,22 @@
+import pytest
+
+import mlflow
+from mlflow.exceptions import MlflowException
+
+
+class UnpicklableModel(mlflow.pyfunc.PythonModel):
+    def __init__(self, path):
+        with open(path, "w+") as f:
+            pass
+
+        self.not_a_file = f
+
+
+def test_pyfunc_unpicklable_exception(tmp_path):
+    model = UnpicklableModel(tmp_path / "model.pkl")
+
+    with pytest.raises(
+        MlflowException,
+        match="Please save the model into a python file and use code-based logging method instead",
+    ):
+        mlflow.pyfunc.save_model(python_model=model, path=tmp_path / "model")