class_docstr: Serializes a stream of objects in batches by calling its wrapped
  Serializer with streams of objects.
class_docstr_tok: ["Serializes","a","stream","of","objects","in","batches","by","calling","its","wrapped","Serializer","with","streams","of","objects","."]
code: def deserialize(self, stream):
      return chain.from_iterable(
          self._load_from_stream_without_unbatching(stream)
      )
  
imports: import pickle
  import struct
  from abc import abstractmethod
  from io import BytesIO
  from itertools import chain
  from typing import TypeVar, Iterable
  from pyflink.common.serializer import TypeSerializer
label_desc: Use image node_id 5 for calling the BatchedSerializer obj's underlying member method code with example usage: obj.deserialize(stream) and returns: chain