text: import torch
  
  class GoalFunctionResult:
      """
      Represents the result of a goal function evaluating a TokenizedText object.
      
      Args:
          tokenized_text: The sequence that was evaluated.
          output: The display-friendly output.
          succeeded: Whether the goal has been achieved.
          score: A score representing how close the model is to achieving its goal.
      """
  
      def __init__(self, tokenized_text, output, succeeded, score):
          self.tokenized_text = tokenized_text
          self.output = output
          self.score = score
          self.succeeded = succeeded
          
          if isinstance(self.score, torch.Tensor):
              self.score = self.score.item()
  
          if isinstance(self.succeeded, torch.Tensor):
              self.succeeded = self.succeeded.item()
      
      def get_text_color_input(self):
          """ A string representing the color this result's changed
              portion should be if it represents the original input.
          """
          raise NotImplementedError()
      
      def get_text_color_perturbed(self):
          """ A string representing the color this result's changed
              portion should be if it represents the perturbed input.
          """
          raise NotImplementedError()
      
      def get_colored_output(self, color_method=None):
          """ Returns a string representation of this result's output, colored 
              according to `color_method`.
          """
          raise NotImplementedError()
              
  