text: '''
  * Copyright (c) 2020 Intel Corporation
  *
  * Permission is hereby granted, free of charge, to any person obtaining a copy
  * of this software and associated documentation files (the "Software"), to deal
  * in the Software without restriction, including without limitation the rights
  * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  * copies of the Software, and to permit persons to whom the Software is
  * furnished to do so, subject to the following conditions:
  *
  * The above copyright notice and this permission notice shall be included in all
  * copies or substantial portions of the Software.
  *
  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  '''
  
  import os
  import sys
  import numpy
  
  from matplotlib import pyplot
  
  if __name__ == '__main__':
      if(len(sys.argv) < 2):
          print "Error: must provide folder rewardPath."
          sys.exit(-1)
          
      folderPath = sys.argv[1]
      if not folderPath.endswith(os.sep):
          folderPath += os.sep
          
      if not os.path.exists(folderPath):
          print "Error: Folder rewardPath %s does not exist." % folderPath
          sys.exit(-1)
          
      rewardPath = folderPath + 'qlearn_accum_reward.txt'
      if not os.path.exists(rewardPath):
          print "Error: File %s does not exist." % rewardPath
          sys.exit(-1)
      
      qtablePath = folderPath + 'qtable.txt'
      if not os.path.exists(qtablePath):
          print "Error: File %s does not exist." % qtablePath
          sys.exit(-1)
  
      reward = numpy.fromfile(rewardPath, dtype=numpy.uint32, sep=os.linesep)
      qtable = numpy.loadtxt(fname=qtablePath, dtype=numpy.uint32, delimiter=",")
      
      print qtable
      
      pyplot.plot(reward, 'b-*')
      pyplot.show()