text: from Coach import Coach
  from othello.OthelloGame import OthelloGame as Game
  from othello.keras.NNet import NNetWrapper as nn
  from utils import *
  
  args = dotdict({
      'numIters': 1000,
      'numEps': 100,
      'tempThreshold': 15,
      'updateThreshold': 0.6,
      'maxlenOfQueue': 200000,
      'numMCTSSims': 25,
      'arenaCompare': 40,
      'cpuct': 1,
  
      'checkpoint': './temp/',
      'load_model': False,
      'load_folder_file': ('/dev/models/8x100x50','best.pth.tar'),
      'numItersForTrainExamplesHistory': 20,
  
  })
  
  if __name__=="__main__":
      g = Game(6)
      nnet = nn(g)
  
      if args.load_model:
          nnet.load_checkpoint(args.load_folder_file[0], args.load_folder_file[1])
  
      c = Coach(g, nnet, args)
      if args.load_model:
          print("Load trainExamples from file")
          c.loadTrainExamples()
      c.learn()
  