code: def __init__(self):
      self.score = self.playerIndex = self.loopIter = 0
      self.playerx = int(SCREENWIDTH * 0.2)
      self.playery = int((SCREENHEIGHT - PLAYER_HEIGHT) / 2)
      self.basex = 0
      self.baseShift = IMAGES["base"].get_width() - BACKGROUND_WIDTH
  
      newPipe1 = getRandomPipe()
      newPipe2 = getRandomPipe()
      self.upperPipes = [
          {"x": SCREENWIDTH, "y": newPipe1[0]["y"]},
          {"x": SCREENWIDTH + (SCREENWIDTH / 2), "y": newPipe2[0]["y"]},
      ]
      self.lowerPipes = [
          {"x": SCREENWIDTH, "y": newPipe1[1]["y"]},
          {"x": SCREENWIDTH + (SCREENWIDTH / 2), "y": newPipe2[1]["y"]},
      ]
  
      # player velocity, max velocity, downward accleration, accleration on flap
      self.pipeVelX = -4
      self.playerVelY = (
          0  # player's velocity along Y, default same as playerFlapped
      )
      self.playerMaxVelY = 10  # max vel along Y, max descend speed
      self.playerMinVelY = -8  # min vel along Y, max ascend speed
      self.playerAccY = 1  # players downward accleration
      self.playerFlapAcc = -9  # players speed on flapping
      self.playerFlapped = False
  
file_path: CNTK/Examples/ReinforcementLearning/FlappingBirdWithKeras/game/wrapped_flappy_bird.py
imports: import numpy
  import sys
  import random
  from game import flappy_bird_utils
  import pygame
  import pygame.surfarray
  from pygame.locals import *
  from itertools import cycle
label_desc: Use image node_id 1 to create a new GameState object  with example: obj = GameState()