

class Engine:

    def __init__(self,
                 response_pairs,
                 knowledge={}):
        self.response_pairs = response_pairs
        self.knowledge = knowledge

    def chat(self, user_utterance, context):
        best_score = 0
        best_response_pair = None
        best_captured = {}
        for response_pair in self.response_pairs:
            captured = response_pair.match(user_utterance, self.knowledge)

            if captured is None:
                continue

            score = response_pair.score(captured, context, self.knowledge)

            if best_score < score:
                best_score, best_response_pair, best_captured = score, response_pair, captured

        return best_response_pair.generate(best_captured, context, self.knowledge)



class Engine:

    def __init__(self,
                 response_pairs,
                 knowledge={}):
        self.response_pairs = response_pairs
        self.knowledge = knowledge

    def chat(self, user_utterance, context):
        best_score = 0
        best_response_pair = None
        best_captured = {}
        for response_pair in self.response_pairs:
            captured = response_pair.match(user_utterance, self.knowledge)

            if captured is None:
                continue

            score = response_pair.score(captured, context, self.knowledge)

            if best_score < score:
                best_score, best_response_pair, best_captured = score, response_pair, captured

        response, new_context = best_response_pair.generate(best_captured, context, self.knowledge)
        return response, new_context, best_score

Add the score to Engine.chat return values
Add the score to Engine.chat return values

  
  
  class Engine:
  
      def __init__(self,
                   response_pairs,
                   knowledge={}):
          self.response_pairs = response_pairs
          self.knowledge = knowledge
  
      def chat(self, user_utterance, context):
          best_score = 0
          best_response_pair = None
          best_captured = {}
          for response_pair in self.response_pairs:
              captured = response_pair.match(user_utterance, self.knowledge)
  
              if captured is None:
                  continue
  
              score = response_pair.score(captured, context, self.knowledge)
  
              if best_score < score:
                  best_score, best_response_pair, best_captured = score, response_pair, captured
  
-         return best_response_pair.generate(best_captured, context, self.knowledge)
+         response, new_context = best_response_pair.generate(best_captured, context, self.knowledge)
+         return response, new_context, best_score
  
Add the score to Engine.chat return values
## Code Before:


class Engine:

    def __init__(self,
                 response_pairs,
                 knowledge={}):
        self.response_pairs = response_pairs
        self.knowledge = knowledge

    def chat(self, user_utterance, context):
        best_score = 0
        best_response_pair = None
        best_captured = {}
        for response_pair in self.response_pairs:
            captured = response_pair.match(user_utterance, self.knowledge)

            if captured is None:
                continue

            score = response_pair.score(captured, context, self.knowledge)

            if best_score < score:
                best_score, best_response_pair, best_captured = score, response_pair, captured

        return best_response_pair.generate(best_captured, context, self.knowledge)

## Instruction:
Add the score to Engine.chat return values
## Code After:


class Engine:

    def __init__(self,
                 response_pairs,
                 knowledge={}):
        self.response_pairs = response_pairs
        self.knowledge = knowledge

    def chat(self, user_utterance, context):
        best_score = 0
        best_response_pair = None
        best_captured = {}
        for response_pair in self.response_pairs:
            captured = response_pair.match(user_utterance, self.knowledge)

            if captured is None:
                continue

            score = response_pair.score(captured, context, self.knowledge)

            if best_score < score:
                best_score, best_response_pair, best_captured = score, response_pair, captured

        response, new_context = best_response_pair.generate(best_captured, context, self.knowledge)
        return response, new_context, best_score
