chore: import upstream snapshot with attribution

python/ray/serve/_private/benchmarks/serialization/common.py

@@ -0,0 +1,29 @@
+from dataclasses import dataclass
+from typing import List, Optional
+
+from pydantic import BaseModel
+
+#
+# NOTE: PLEASE READ CAREFULLY BEFORE CHANGING
+#
+# Payloads in this module are purposefully extracted from benchmark file to force
+# Ray's cloudpickle behavior when it does NOT serialize the class definition itself
+# along with its payload (instead relying on it being imported)
+#
+
+
+class PayloadPydantic(BaseModel):
+    text: Optional[str] = None
+    floats: Optional[List[float]] = None
+    ints: Optional[List[int]] = None
+    ts: Optional[float] = None
+    reason: Optional[str] = None
+
+
+@dataclass
+class PayloadDataclass:
+    text: Optional[str] = None
+    floats: Optional[List[float]] = None
+    ints: Optional[List[int]] = None
+    ts: Optional[float] = None
+    reason: Optional[str] = None