code: def find_best_answer_span(
      left_prob, right_prob, passage_length, max_answer_length
  ):
      left = 0
      right = 0
      max_prob = left_prob[0] * right_prob[0]
      for i in range(0, passage_length):
          left_p = left_prob[i]
          for j in range(i, min(i + max_answer_length, passage_length)):
              total_prob = left_p * right_prob[j]
              if max_prob < total_prob:
                  left, right, max_prob = i, j, total_prob
      return [(max_prob, left, right)]
  
imports: import argparse
  import heapq
  import json
  import os
  import pickle
  import logging
  import numpy
  from tensorflow.train import init_from_checkpoint
  import graph
  from util import Timer
  import nni
  import data
  import evaluate
  from train_model import *
label_desc: Use image node_id 4 for calling a global function with example usage: find_best_answer_span(left_prob, right_prob, passage_length, max_answer_length) and returns: list