chore: import upstream snapshot with attribution

tests/pyfunc/sample_code/python_model_with_config.py

@@ -0,0 +1,13 @@
+from mlflow.models import ModelConfig, set_model
+from mlflow.pyfunc import PythonModel
+
+base_config = ModelConfig(development_config="tests/pyfunc/sample_code/config.yml")
+
+
+class MyModel(PythonModel):
+    def predict(self, context, model_input):
+        timeout = base_config.get("timeout")
+        return f"Predict called with input {model_input}, timeout {timeout}"
+
+
+set_model(MyModel())