text: # analysis.py
  # -----------
  # Licensing Information:  You are free to use or extend these projects for
  # educational purposes provided that (1) you do not distribute or publish
  # solutions, (2) you retain this notice, and (3) you provide clear
  # attribution to UC Berkeley, including a link to
  # http://inst.eecs.berkeley.edu/~cs188/pacman/pacman.html
  #
  # Attribution Information: The Pacman AI projects were developed at UC Berkeley.
  # The core projects and autograders were primarily created by John DeNero
  # (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
  # Student side autograding was added by Brad Miller, Nick Hay, and
  # Pieter Abbeel (pabbeel@cs.berkeley.edu).
  
  
  ######################
  # ANALYSIS QUESTIONS #
  ######################
  
  # Set the given parameters to obtain the specified policies through
  # value iteration.
  
  def question2():
      answerDiscount = 0.9
      answerNoise = 0.0
      return answerDiscount, answerNoise
  
  def question3a():
      answerDiscount = 0.1
      answerNoise = 0
      answerLivingReward = 0
      return answerDiscount, answerNoise, answerLivingReward
      # If not possible, return 'NOT POSSIBLE'
  
  def question3b():
      answerDiscount = 0.3
      answerNoise = 0.3
      answerLivingReward = 0
      return answerDiscount, answerNoise, answerLivingReward
      # If not possible, return 'NOT POSSIBLE'
  
  def question3c():
      answerDiscount = 0.9
      answerNoise = 0
      answerLivingReward = 0
      return answerDiscount, answerNoise, answerLivingReward
      # If not possible, return 'NOT POSSIBLE'
  
  def question3d():
      answerDiscount = 0.9
      answerNoise = 0.3
      answerLivingReward = 0
      return answerDiscount, answerNoise, answerLivingReward
      # If not possible, return 'NOT POSSIBLE'
  
  def question3e():
      answerDiscount = 1
      answerNoise = 0
      answerLivingReward = 1
      return answerDiscount, answerNoise, answerLivingReward
      # If not possible, return 'NOT POSSIBLE'
  
  def question6():
      answerEpsilon = None
      answerLearningRate = None
      return 'NOT POSSIBLE'
      # If not possible, return 'NOT POSSIBLE'
  
  if __name__ == '__main__':
      print 'Answers to analysis questions:'
      import analysis
      for q in [q for q in dir(analysis) if q.startswith('question')]:
          response = getattr(analysis, q)()
          print '  Question %s:\t%s' % (q, str(response))
  