code: def deserialize(classname: str, version: int, data: str) -> Any:
      if version > __version__:
          raise TypeError(
              "serialized version is newer than class version"
          )
  
      if classname not in deserializers:
          raise TypeError(
              f"unsupported {classname} found for numpy deserialization"
          )
  
      return import_string(classname)(data)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any
  from airflow.utils.module_loading import import_string, qualname
label_desc: Use image node_id 2 for calling a global function with example usage: deserialize(classname, version, data) and returns: import_string