class_docstr: Decode key/data sets using a list of handlers.
  
  For each key/data item, this iterates through the list of
  handlers until some handler returns something other than None.
class_docstr_tok: ["Decode","key\/data","sets","using","a","list","of","handlers",".","For","each","key\/data","item",",","this","iterates","through","the","list","of","handlers","until","some","handler","returns","something","other","than","None","."]
code: def __call__(self, data):
      return self.decode(data)
  
imports: import io
  import json
  import os.path
  import pickle
  import tempfile
  import torch
  from torch.utils.data.datapipes.utils.common import StreamWrapper
label_desc: Use image node_id 6 for calling the Decoder obj's underlying member method code with example usage: obj.__call__(data) and returns: self