original_docstring: 
          Creates a model used for training a bot that will copy the labeled data
  
          :param batch_size: The number of batches per a run of the model.
          :return:
              a loss function
              a placeholder for input states
              a placeholder for labels
          
docstring: Creates a model used for training a bot that will copy the labeled data
docstring_tokens: Creates a model used for training a bot that will copy the labeled data
code: def create_copy_training_model(self, model_input=None, taken_actions=None):
          """
          Creates a model used for training a bot that will copy the labeled data
  
          :param batch_size: The number of batches per a run of the model.
          :return:
              a loss function
              a placeholder for input states
              a placeholder for labels
          """
  
          #return a loss function in tensorflow
          loss = None
          #return a placeholder for input data
          input = None
          #return a placeholder for labeled data
          labels = None
          return loss, input, labels
code_tokens: def create_copy_training_model ( self , model_input = None , taken_actions = None ) : loss = None input = None labels = None return loss , input , labels
short_docstring: Creates a model used for training a bot that will copy the labeled data
short_docstring_tokens: Creates a model used for training a bot that will copy the labeled data
comment: """
          Creates a model used for training a bot that will copy the labeled data
  
          :param batch_size: The number of batches per a run of the model.
          :return:
              a loss function
              a placeholder for input states
              a placeholder for labels
          """$SEP$#return a loss function in tensorflow
  $SEP$#return a placeholder for input data
  $SEP$#return a placeholder for labeled data
  