code: def get_realign_iters(
      realign_times, num_iters, num_jobs_initial, num_jobs_final
  ):
      """Takes the realign_times string and identifies the approximate
          iterations at which realignments have to be done.
  
      realign_times is a space seperated string of values between 0 and 1
      """
  
      realign_iters = []
      for realign_time in realign_times.split():
          realign_time = float(realign_time)
          assert realign_time > 0 and realign_time < 1
          if num_jobs_initial == num_jobs_final:
              realign_iter = int(0.5 + num_iters * realign_time)
          else:
              realign_iter = math.sqrt(
                  (1 - realign_time) * math.pow(num_jobs_initial, 2)
                  + realign_time * math.pow(num_jobs_final, 2)
              )
              realign_iter = realign_iter - num_jobs_initial
              realign_iter = realign_iter // (
                  num_jobs_final - num_jobs_initial
              )
              realign_iter = realign_iter * num_iters
          realign_iters.append(int(realign_iter))
  
      return realign_iters
  
imports: from __future__ import print_function
  from __future__ import division
  import glob
  import logging
  import math
  import os
  import random
  import time
  import libs.common
  import libs.nnet3.train.common
label_desc: Use image node_id 7 for calling a global function with example usage: get_realign_iters(realign_times, num_iters, num_jobs_initial, num_jobs_final) and returns: realign_iters