def replayGame(layout, actions, display):
import pacmanAgents
import ghostAgents
rules = ClassicGameRules()
agents = [pacmanAgents.GreedyAgent()] + [ghostAgents.RandomGhost(i + 1)
for i in range(layout.getNumGhosts())]
game = rules.newGame(layout, agents[0], agents[1:], display)
state = game.state
display.initialize(state.data)
for action in actions:
# Execute the action
state = state.generateSuccessor(*action)
# Change the display
display.update(state.data)
# Allow for game specific conditions (winning, losing, etc.)
rules.process(state, game)
display.finish()
def replayGame(layout, actions, display):
import submission, ghostAgents
rules = ClassicGameRules()
# If replaying, change the agent from ExpectimaxAgent to whatever agent with which you want to play
agents = [submission.ExpectimaxAgent()] + [
ghostAgents.RandomGhost(i + 1) for i in range(layout.getNumGhosts())
]
game = rules.newGame(layout, agents[0], agents[1:], display)
state = game.state
display.initialize(state.data)
for action in actions:
# Execute the action
state = state.generateSuccessor(*action)
# Change the display
display.update(state.data)
# Allow for game specific conditions (winning, losing, etc.)
rules.process(state, game)
display.finish()
def replayGame(layout, actions, display):
import submission, ghostAgents
rules = ClassicGameRules()
agents = [submission.ExpectimaxAgent()] + [
ghostAgents.RandomGhost(i + 1) for i in range(layout.getNumGhosts())
]
game = rules.newGame(layout, agents[0], agents[1:], display)
state = game.state
display.initialize(state.data)
for action in actions:
state = state.generateSuccessor(*action)
display.update(state.data)
rules.process(state, game)
display.finish()
def replayGame( layout, actions, display ):
import pacmanAgents, ghostAgents
import csv
global GSTATE, PSA
rules = ClassicGameRules()
agents = [pacmanAgents.GreedyAgent()] + [ghostAgents.RandomGhost(i+1) for i in range(layout.getNumGhosts())]
game = rules.newGame( layout, agents[0], agents[1:], display )
state = game.state
display.initialize(state.data)
c = 0
prevState = state
for action in actions:
# Execute the action
state = state.generateSuccessor( *action )
# Change the display
display.update( state.data )
# Allow for game specific conditions (winning, losing, etc.)
rules.process(state, game)
#after pacman moves, pause
if c%2 == 0 :
PSA[c/2] = (prevState.__str__(),action[1])
#print(prevState.__str__())
time.sleep(1)
#record state we respond to
prevState = state
GSTATE += 1
#if flask, get here
c+=1
display.finish()