old_contents: #!/usr/bin/python
  # -*- coding: utf-8 -*-
  import random
  from EmeraldAI.Entities.BaseObject import BaseObject
  
  
  class PipelineArgs(BaseObject):
  
      def __init__(self, input):
          # Original Input
          self.Input = input
          self.Normalized = input
  
          # Input Language | List of EmeraldAI.Entities.BaseObject.Word objects | List of parameters
          self.Language = None
          self.WordList = None
          self.SentenceList = None
          self.ParameterList = None
  
          # Input with parameterized data
          self.ParameterizedInput = None
  
          # TODO Conversation History
          self.History = None
  
          # Response with patameters | Raw response string | Response ID | Response found
          self.Response = None
          self.ResponseRaw = None
          self.ResponseID = None
          self.ResponseFound = False
          self.ResponseAudio = None
  
          # TODO
          self.SessionID = 0
  
          # TODO - List of Errors
          self.Error = None
  
  
      def GetSentencesWithHighestValue(self, margin=0):
          if self.SentenceList != None and len(self.SentenceList) > 0:
              highestRanking = max(node.Rating for node in self.SentenceList.values())
              if margin > 0:
                  result = [node for node in self.SentenceList.values() if node.Rating>=(highestRanking-margin)]
              else:
                  result = [node for node in self.SentenceList.values() if node.Rating==highestRanking]
              return result
          return None
  
      def GetRandomSentenceWithHighestValue(self, margin=0):
          return random.choice(self.GetSentencesWithHighestValue(margin))
  
new_contents: #!/usr/bin/python
  # -*- coding: utf-8 -*-
  import random
  from EmeraldAI.Entities.BaseObject import BaseObject
  
  
  class PipelineArgs(BaseObject):
  
      def __init__(self, input):
          # Original Input
          self.Input = input
          self.Normalized = input
  
          # Input Language | List of EmeraldAI.Entities.BaseObject.Word objects | List of parameters
          self.Language = None
          self.WordList = None
          self.SentenceList = None
          self.ParameterList = None
  
          # Input with parameterized data
          self.ParameterizedInput = None
  
          # TODO Conversation History
          self.History = None
  
          # Response with patameters | Raw response string | Response ID | Response found
          self.Response = None
          self.ResponseRaw = None
          self.ResponseID = None
          self.ResponseFound = False
          self.ResponseAudio = None
  
          # TODO
          self.SessionID = 0
  
          # TODO - List of Errors
          self.Error = None
  
  
      def GetSentencesWithHighestValue(self, margin=0):
          if self.SentenceList != None and self.SentenceList:
              highestRanking = max(node.Rating for node in self.SentenceList.values())
              if margin > 0:
                  result = [node for node in self.SentenceList.values() if node.Rating>=(highestRanking-margin)]
              else:
                  result = [node for node in self.SentenceList.values() if node.Rating==highestRanking]
              return result
          return None
  
      def GetRandomSentenceWithHighestValue(self, margin=0):
          result = self.GetSentencesWithHighestValue(margin)
          if(result != None):
              return random.choice(result)
          return None
  
subject: Fix Pipeline Args Bug on dict length