code: def read_msgpack(path_or_buf, encoding='utf-8', iterator=False, **kwargs):
      
      path_or_buf, _, _, should_close = get_filepath_or_buffer(path_or_buf)
      if iterator:
          return Iterator(path_or_buf)
  
      def read(fh):
          unpacked_obj = list(unpack(fh, encoding=encoding, **kwargs))
          if len(unpacked_obj) == 1:
              return unpacked_obj[0]
  
          if should_close:
              try:
                  path_or_buf.close()
              except IOError:
                  pass
          return unpacked_obj
  
      # see if we have an actual file
      if isinstance(path_or_buf, str):
          try:
              exists = os.path.exists(path_or_buf)
          except (TypeError, ValueError):
              exists = False
  
          if exists:
              with open(path_or_buf, 'rb') as fh:
                  return read(fh)
  
      if isinstance(path_or_buf, bytes):
          # treat as a binary-like
          fh = None
          try:
              fh = BytesIO(path_or_buf)
              return read(fh)
          finally:
              if fh is not None:
                  fh.close()
      elif hasattr(path_or_buf, 'read') and callable(path_or_buf.read):
          # treat as a buffer like
          return read(path_or_buf)
  
      raise ValueError('path_or_buf needs to be a string file path or file-like')
docs: Load msgpack pandas object from the specified
      file path
  
      THIS IS AN EXPERIMENTAL LIBRARY and the storage format
      may not be stable until a future release.
  
      Parameters
      ----------
      path_or_buf : string File path, BytesIO like or string
      encoding : Encoding for decoding msgpack str type
      iterator : boolean, if True, return an iterator to the unpacker
                 (default is False)
  
      Returns
      -------
      obj : same type as object stored in file