class_docstr: A conversational dialog chat bot.
docstr: Return a response based on a given input statement.
  
  :param input_statement: The input statement to be processed.
code: def generate_response(
      self,
      input_statement,
      additional_response_selection_parameters=None,
  ):
      """
      Return a response based on a given input statement.
  
      :param input_statement: The input statement to be processed.
      """
      Statement = self.storage.get_object("statement")
  
      results = []
      result = None
      max_confidence = -1
  
      for adapter in self.logic_adapters:
          if adapter.can_process(input_statement):
              output = adapter.process(
                  input_statement,
                  additional_response_selection_parameters,
              )
              results.append(output)
  
              self.logger.info(
                  '{} selected "{}" as a response with a confidence of {}'.format(
                      adapter.class_name, output.text, output.confidence
                  )
              )
  
              if output.confidence > max_confidence:
                  result = output
                  max_confidence = output.confidence
          else:
              self.logger.info(
                  "Not processing the statement using {}".format(
                      adapter.class_name
                  )
              )
  
      class ResultOption:
          def __init__(self, statement, count=1):
              self.statement = statement
              self.count = count
  
      # If multiple adapters agree on the same statement,
      # then that statement is more likely to be the correct response
      if len(results) >= 3:
          result_options = {}
          for result_option in results:
              result_string = (
                  result_option.text
                  + ":"
                  + (result_option.in_response_to or "")
              )
  
              if result_string in result_options:
                  result_options[result_string].count += 1
                  if (
                      result_options[result_string].statement.confidence
                      < result_option.confidence
                  ):
                      result_options[
                          result_string
                      ].statement = result_option
              else:
                  result_options[result_string] = ResultOption(
                      result_option
                  )
  
          most_common = list(result_options.values())[0]
  
          for result_option in result_options.values():
              if result_option.count > most_common.count:
                  most_common = result_option
  
          if most_common.count > 1:
              result = most_common.statement
  
      response = Statement(
          text=result.text,
          in_response_to=input_statement.text,
          conversation=input_statement.conversation,
          persona="bot:" + self.name,
      )
  
      response.confidence = result.confidence
  
      return response
  
file_path: ChatterBot/chatterbot/chatterbot.py
imports: import logging
  from chatterbot.storage import StorageAdapter
  from chatterbot.logic import LogicAdapter
  from chatterbot.search import TextSearch, IndexedTextSearch
  from chatterbot import utils
label_desc: Use image node_id 3 for calling the ChatBot obj's underlying member method code with example usage: obj.generate_response(input_statement, additional_response_selection_parameters) and returns: response