code: def provide_data(self):
      def share(plain_iter):
          if isinstance(self.first_element, (list, tuple)):
              yield (
                  tfe.define_private_input(
                      self.player.name, lambda: data
                  )
                  for data in self.first_element
              )
          else:
              yield tfe.define_private_input(
                  self.player.name, lambda: self.first_element
              )
  
          for plain_data in plain_iter:
              if isinstance(plain_data, (list, tuple)):
                  yield (
                      tfe.define_private_input(
                          self.player.name, lambda: data
                      )
                      for data in plain_data
                  )
              else:
                  yield tfe.define_private_input(
                      self.player.name, lambda: plain_data
                  )
  
      return share(self.generator)
  
file_path: tf-encrypted/tf_encrypted/player/data_owner.py
imports: import tensorflow
  import tf_encrypted
label_desc: Use image node_id 5 for calling the DataOwner obj's underlying member method code with example usage: obj.provide_data() and returns: share