code: def divideIntoNstrand(listTemp, n):
      twoList = [[] for i in range(n)]
      for i, e in enumerate(listTemp):
          twoList[i % n].append(e)
      return twoList
  
imports: import os
  import pickle
  import matplotlib
  import pandas
  import matplotlib.pyplot
  import timeit
  import sklearn
  import argparse
  import cv2
  import numpy
  import torch
  from skimage import transform
  from backbones import get_model
  from sklearn.metrics import roc_curve, auc
  from menpo.visualize.viewmatplotlib import sample_colours_from_colourmap
  from prettytable import PrettyTable
  from pathlib import Path
  import sys
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: divideIntoNstrand(listTemp, n) and returns: twoList