original_docstring: 
      Get paraphrases/backtranslations for
      every input line.
      
docstring: Get paraphrases/backtranslations for
  every input line.
docstring_tokens: Get paraphrases / backtranslations for every input line .
code: def processLine(originalEmo,targetEmotion:list, text: str, sentenceID, sourceLanguage: str, targetLanguages:list, numbForwtransl:int, numbBacktransl: int, trainingData:str, numTopParaphrases: int, goal:str,emoLabels):        
      '''
      Get paraphrases/backtranslations for
      every input line.
      '''
      original_emo_score=scoreInput(originalEmo,sentenceID, text, trainingData, emoLabels)
      paraphrases = paraphraseSentences(text, sentenceID, numbForwtransl, numbBacktransl, sourceLanguage, targetLanguages)
      scoredParaphrases=scoreParaphrase(paraphrases,goal,emoLabels)
      
      paraphraseStrings = get_best_paraphrases(scoredParaphrases, numTopParaphrases,targetEmotion,originalEmo, original_emo_score[0],original_emo_score[1],goal)
      
      return paraphraseStrings
code_tokens: def processLine ( originalEmo , targetEmotion : list , text : str , sentenceID , sourceLanguage : str , targetLanguages : list , numbForwtransl : int , numbBacktransl : int , trainingData : str , numTopParaphrases : int , goal : str , emoLabels ) : original_emo_score = scoreInput ( originalEmo , sentenceID , text , trainingData , emoLabels ) paraphrases = paraphraseSentences ( text , sentenceID , numbForwtransl , numbBacktransl , sourceLanguage , targetLanguages ) scoredParaphrases = scoreParaphrase ( paraphrases , goal , emoLabels ) paraphraseStrings = get_best_paraphrases ( scoredParaphrases , numTopParaphrases , targetEmotion , originalEmo , original_emo_score [ 0 ] , original_emo_score [ 1 ] , goal ) return paraphraseStrings
short_docstring: Get paraphrases/backtranslations for
  every input line.
short_docstring_tokens: Get paraphrases / backtranslations for every input line .
comment: '''
      Get paraphrases/backtranslations for
      every input line.
      '''