code: def deploy_ray_func(func, partition, kwargs):
      
      try:
          result = func(partition, **kwargs)
      # Sometimes Arrow forces us to make a copy of an object before we operate
      # on it. We don't want the error to propagate to the user, and we want to
      # avoid copying unless we absolutely have to.
      except Exception:
          result = func(partition.to_pandas(), **kwargs)
          if isinstance(result, pandas.Series):
              result = pandas.DataFrame(result).T
          if isinstance(result, pandas.DataFrame):
              return pyarrow.Table.from_pandas(result)
      return result
docs: Deploy a function to a partition in Ray.
  
      Args:
          func: The function to apply.
          partition: The partition to apply the function to.
          kwargs: A dictionary of keyword arguments for the function.
  
      Returns:
          The result of the function.