[SOLVED] 代写 game html python AI graph pacman.py (original)

pacman.py (original)

# pacman.py
# ———
# Licensing Information: Please do not distribute or publish solutions to this
# project. You are free to use and extend these projects for educational
# purposes. The Pacman AI projects were developed at UC Berkeley, primarily by
# John DeNero ([email protected]) and Dan Klein ([email protected]).
# For more info, see http://inst.eecs.berkeley.edu/~cs188/sp09/pacman.html

“””
Pacman.py holds the logic for the classic pacman game along with the main
code to run a game.This file is divided into three sections:

(i)Your interface to the pacman world:
Pacman is a complex environment.You probably don’t want to
read through all of the code we wrote to make the game runs
correctly.This section contains the parts of the code
that you will need to understand in order to complete the
project.There is also some code in game.py that you should
understand.

(ii)The hidden secrets of pacman:
This section contains all of the logic code that the pacman
environment uses to decide who can move where, who dies when
things collide, etc.You shouldn’t need to read this section
of code, but you can if you want.

(iii) Framework to start a game:
The final section contains the code for reading the command
you use to set up the game, then starting up a new game, along with
linking in all the external parts (agent functions, graphics).
Check this section out to see all the options available to you.

To play your first game, type ‘python pacman.py’ from the command line.
The keys are ‘a’, ‘s’, ‘d’, and ‘w’ to move (or arrow keys).Have fun!
“””
from game import GameStateData
from game import Game
from game import Directions
from game import Actions
from util import nearestPoint
from util import manhattanDistance
import util, layout
import sys, types, time, random, os

###################################################
# YOUR INTERFACE TO THE PACMAN WORLD: A GameState #
###################################################

class GameState:
“””
A GameState specifies the full game state, including the food, capsules,
agent configurations and score changes.

GameStates are used by the Game object to capture the actual state of the game and
can be used by agents to reason about the game.

Much of the information in a GameState is stored in a GameStateData object.We
strongly suggest that you access that data via the accessor methods below rather
than referring to the GameStateData object directly.

Note that in classic Pacman, Pacman is always agent 0.
“””

####################################################
# Accessor methods: use these to access state data #
####################################################

def getLegalActions( self, agentIndex=0 ):
“””
Returns the legal actions for the agent specified.
“””
if self.isWin() or self.isLose(): return []

if agentIndex == 0:# Pacman is moving
return PacmanRules.getLegalActions( self )
else:
return GhostRules.getLegalActions( self, agentIndex )

def generateSuccessor( self, agentIndex, action):
“””
Returns the successor state after the specified agent takes the action.
“””
# Check that successors exist
if self.isWin() or self.isLose(): raise Exception(‘Can’t generate a successor of a terminal state.’)

# Copy current state
state = GameState(self)

# Let agent’s logic deal with its action’s effects on the board
if agentIndex == 0:# Pacman is moving
state.data._eaten = [False for i in range(state.getNumAgents())]
PacmanRules.applyAction( state, action )
else:# A ghost is moving
GhostRules.applyAction( state, action, agentIndex )

# Time passes
if agentIndex == 0:
state.data.scoreChange += -TIME_PENALTY # Penalty for waiting around
else:
GhostRules.decrementTimer( state.data.agentStates[agentIndex] )

# Resolve multi-agent effects
GhostRules.checkDeath( state, agentIndex )

# Book keeping
state.data._agentMoved = agentIndex
state.data.score += state.data.scoreChange
return state

def getLegalPacmanActions( self ):
return self.getLegalActions( 0 )

def generatePacmanSuccessor( self, action ):
“””
Generates the successor state after the specified pacman move
“””
return self.generateSuccessor( 0, action )

def getPacmanState( self ):
“””
Returns an AgentState object for pacman (in game.py)

state.pos gives the current position
state.direction gives the travel vector
“””
return self.data.agentStates[0].copy()

def getPacmanPosition( self ):
return self.data.agentStates[0].getPosition()

def getGhostStates( self ):
return self.data.agentStates[1:]

def getGhostState( self, agentIndex ):
if agentIndex == 0 or agentIndex >= self.getNumAgents():
raise Exception(“Invalid index passed to getGhostState”)
return self.data.agentStates[agentIndex]

def getGhostPosition( self, agentIndex ):
if agentIndex == 0:
raise Exception(“Pacman’s index passed to getGhostPosition”)
return self.data.agentStates[agentIndex].getPosition()

def getGhostPositions(self):
return [s.getPosition() for s in self.getGhostStates()]

def getNumAgents( self ):
return len( self.data.agentStates )

def getScore( self ):
return self.data.score

def getCapsules(self):
“””
Returns a list of positions (x,y) of the remaining capsules.
“””
return self.data.capsules

def getNumFood( self ):
return self.data.food.count()

def getFood(self):
“””
Returns a Grid of boolean food indicator variables.

Grids can be accessed via list notation, so to check
if there is food at (x,y), just call

currentFood = state.getFood()
if currentFood[x][y] == True: …
“””
return self.data.food

def getWalls(self):
“””
Returns a Grid of boolean wall indicator variables.

Grids can be accessed via list notation, so to check
if there is food at (x,y), just call

walls = state.getWalls()
if walls[x][y] == True: …
“””
return self.data.layout.walls

def hasFood(self, x, y):
return self.data.food[x][y]

def hasWall(self, x, y):
return self.data.layout.walls[x][y]

def isLose( self ):
return self.data._lose

def isWin( self ):
return self.data._win

#############################################
# Helper methods: #
# You shouldn’t need to call these directly #
#############################################

def __init__( self, prevState = None ):
“””
Generates a new state by copying information from its predecessor.
“””
if prevState != None: # Initial state
self.data = GameStateData(prevState.data)
else:
self.data = GameStateData()

def deepCopy( self ):
state = GameState( self )
state.data = self.data.deepCopy()
return state

def __eq__( self, other ):
“””
Allows two states to be compared.
“””
return self.data == other.data

def __hash__( self ):
“””
Allows states to be keys of dictionaries.
“””
return hash( self.data )

def __str__( self ):

return str(self.data)

def initialize( self, layout, numGhostAgents=1000 ):
“””
Creates an initial game state from a layout array (see layout.py).
“””
self.data.initialize(layout, numGhostAgents)

############################################################################
# THE HIDDEN SECRETS OF PACMAN #
##
# You shouldn’t need to look through the code in this section of the file. #
############################################################################

SCARED_TIME = 40# Moves ghosts are scared
COLLISION_TOLERANCE = 0.7 # How close ghosts must be to Pacman to kill
TIME_PENALTY = 1 # Number of points lost each round

class ClassicGameRules:
“””
These game rules manage the control flow of a game, deciding when
and how the game starts and ends.
“””
def __init__(self, timeout=30):
self.timeout = timeout

def newGame( self, layout, pacmanAgent, ghostAgents, display, quiet = False, catchExceptions=False):
agents = [pacmanAgent] + ghostAgents[:layout.getNumGhosts()]
initState = GameState()
initState.initialize( layout, len(ghostAgents) )
game = Game(agents, display, self, catchExceptions=catchExceptions)
game.state = initState
self.initialState = initState.deepCopy()
self.quiet = quiet
return game

def process(self, state, game):
“””
Checks to see whether it is time to end the game.
“””
if state.isWin(): self.win(state, game)
if state.isLose(): self.lose(state, game)

def win( self, state, game ):
if not self.quiet: print “Pacman emerges victorious! Score: %d” % state.data.score
game.gameOver = True

def lose( self, state, game ):
if not self.quiet: print “Pacman died! Score: %d” % state.data.score
game.gameOver = True

def getProgress(self, game):
return float(game.state.getNumFood()) / self.initialState.getNumFood()

def agentCrash(self, game, agentIndex):
if agentIndex == 0:
print “Pacman crashed”
else:
print “A ghost crashed”

def getMaxTotalTime(self, agentIndex):
return self.timeout

def getMaxStartupTime(self, agentIndex):
return self.timeout

def getMoveWarningTime(self, agentIndex):
return self.timeout

def getMoveTimeout(self, agentIndex):
return self.timeout

def getMaxTimeWarnings(self, agentIndex):
return 0

class PacmanRules:
“””
These functions govern how pacman interacts with his environment under
the classic game rules.
“””
PACMAN_SPEED=1

def getLegalActions( state ):
“””
Returns a list of possible actions.
“””
return Actions.getPossibleActions( state.getPacmanState().configuration, state.data.layout.walls )
getLegalActions = staticmethod( getLegalActions )

def applyAction( state, action ):
“””
Edits the state to reflect the results of the action.
“””
legal = PacmanRules.getLegalActions( state )
if action not in legal:
raise Exception(“Illegal action ” + str(action))

pacmanState = state.data.agentStates[0]

# Update Configuration
vector = Actions.directionToVector( action, PacmanRules.PACMAN_SPEED )
pacmanState.configuration = pacmanState.configuration.generateSuccessor( vector )

# Eat
next = pacmanState.configuration.getPosition()
nearest = nearestPoint( next )
if manhattanDistance( nearest, next ) <= 0.5 :# Remove foodPacmanRules.consume( nearest, state )applyAction = staticmethod( applyAction )def consume( position, state ):x,y = position# Eat foodif state.data.food[x][y]:state.data.scoreChange += 10state.data.food = state.data.food.copy()state.data.food[x][y] = Falsestate.data._foodEaten = position# TODO: cache numFood?numFood = state.getNumFood()if numFood == 0 and not state.data._lose:state.data.scoreChange += 500state.data._win = True# Eat capsuleif( position in state.getCapsules() ):state.data.capsules.remove( position )state.data._capsuleEaten = position# Reset all ghosts’ scared timersfor index in range( 1, len( state.data.agentStates ) ):state.data.agentStates[index].scaredTimer = SCARED_TIMEconsume = staticmethod( consume )class GhostRules:”””These functions dictate how ghosts interact with their environment.”””GHOST_SPEED=1.0def getLegalActions( state, ghostIndex ):”””Ghosts cannot stop, and cannot turn around unless theyreach a dead end, but can turn 90 degrees at intersections.”””conf = state.getGhostState( ghostIndex ).configurationpossibleActions = Actions.getPossibleActions( conf, state.data.layout.walls )reverse = Actions.reverseDirection( conf.direction )if Directions.STOP in possibleActions:possibleActions.remove( Directions.STOP )if reverse in possibleActions and len( possibleActions ) > 1:
possibleActions.remove( reverse )
return possibleActions
getLegalActions = staticmethod( getLegalActions )

def applyAction( state, action, ghostIndex):

legal = GhostRules.getLegalActions( state, ghostIndex )
if action not in legal:
raise Exception(“Illegal ghost action ” + str(action))

ghostState = state.data.agentStates[ghostIndex]
speed = GhostRules.GHOST_SPEED
if ghostState.scaredTimer > 0: speed /= 2.0
vector = Actions.directionToVector( action, speed )
ghostState.configuration = ghostState.configuration.generateSuccessor( vector )
applyAction = staticmethod( applyAction )

def decrementTimer( ghostState):
timer = ghostState.scaredTimer
if timer == 1:
ghostState.configuration.pos = nearestPoint( ghostState.configuration.pos )
ghostState.scaredTimer = max( 0, timer – 1 )
decrementTimer = staticmethod( decrementTimer )

def checkDeath( state, agentIndex):
pacmanPosition = state.getPacmanPosition()
if agentIndex == 0: # Pacman just moved; Anyone can kill him
for index in range( 1, len( state.data.agentStates ) ):
ghostState = state.data.agentStates[index]
ghostPosition = ghostState.configuration.getPosition()
if GhostRules.canKill( pacmanPosition, ghostPosition ):
GhostRules.collide( state, ghostState, index )
else:
ghostState = state.data.agentStates[agentIndex]
ghostPosition = ghostState.configuration.getPosition()
if GhostRules.canKill( pacmanPosition, ghostPosition ):
GhostRules.collide( state, ghostState, agentIndex )
checkDeath = staticmethod( checkDeath )

def collide( state, ghostState, agentIndex):
if ghostState.scaredTimer > 0:
state.data.scoreChange += 200
GhostRules.placeGhost(state, ghostState)
ghostState.scaredTimer = 0
# Added for first-person
state.data._eaten[agentIndex] = True
else:
if not state.data._win:
state.data.scoreChange -= 500
state.data._lose = True
collide = staticmethod( collide )

def canKill( pacmanPosition, ghostPosition ):
return manhattanDistance( ghostPosition, pacmanPosition ) <= COLLISION_TOLERANCEcanKill = staticmethod( canKill )def placeGhost(state, ghostState):ghostState.configuration = ghostState.startplaceGhost = staticmethod( placeGhost )############################## FRAMEWORK TO START A GAME ##############################def default(str):return str + ‘ [Default: %default]’def parseAgentArgs(str):if str == None: return {}pieces = str.split(‘,’)opts = {}for p in pieces:if ‘=’ in p:key, val = p.split(‘=’)else:key,val = p, 1opts[key] = valreturn optsdef readCommand( argv ):”””Processes the command used to run pacman from the command line.”””from optparse import OptionParserusageStr = “””USAGE:python pacman.py
EXAMPLES: (1) python pacman.py
– starts an interactive game
(2) python pacman.py –layout smallClassic –zoom 2
ORpython pacman.py -l smallClassic -z 2
– starts an interactive game on a smaller board, zoomed in
“””
parser = OptionParser(usageStr)

parser.add_option(‘-n’, ‘–numGames’, dest=’numGames’, type=’int’,
help=default(‘the number of GAMES to play’), metavar=’GAMES’, default=1)
parser.add_option(‘-l’, ‘–layout’, dest=’layout’,
help=default(‘the LAYOUT_FILE from which to load the map layout’),
metavar=’LAYOUT_FILE’, default=’mediumClassic’)
parser.add_option(‘-p’, ‘–pacman’, dest=’pacman’,
help=default(‘the agent TYPE in the pacmanAgents module to use’),
metavar=’TYPE’, default=’KeyboardAgent’)
parser.add_option(‘-t’, ‘–textGraphics’, action=’store_true’, dest=’textGraphics’,
help=’Display output as text only’, default=False)
parser.add_option(‘-q’, ‘–quietTextGraphics’, action=’store_true’, dest=’quietGraphics’,
help=’Generate minimal output and no graphics’, default=False)
parser.add_option(‘-g’, ‘–ghosts’, dest=’ghost’,
help=default(‘the ghost agent TYPE in the ghostAgents module to use’),
metavar = ‘TYPE’, default=’RandomGhost’)
parser.add_option(‘-k’, ‘–numghosts’, type=’int’, dest=’numGhosts’,
help=default(‘The maximum number of ghosts to use’), default=4)
parser.add_option(‘-z’, ‘–zoom’, type=’float’, dest=’zoom’,
help=default(‘Zoom the size of the graphics window’), default=1.0)
parser.add_option(‘-f’, ‘–fixRandomSeed’, action=’store_true’, dest=’fixRandomSeed’,
help=’Fixes the random seed to always play the same game’, default=False)
parser.add_option(‘-r’, ‘–recordActions’, action=’store_true’, dest=’record’,
help=’Writes game histories to a file (named by the time they were played)’, default=False)
parser.add_option(‘–replay’, dest=’gameToReplay’,
help=’A recorded game file (pickle) to replay’, default=None)
parser.add_option(‘-a’,’–agentArgs’,dest=’agentArgs’,
help=’Comma separated values sent to agent. e.g. “opt1=val1,opt2,opt3=val3″‘)
parser.add_option(‘-x’, ‘–numTraining’, dest=’numTraining’, type=’int’,
help=default(‘How many episodes are training (suppresses output)’), default=0)
parser.add_option(‘–frameTime’, dest=’frameTime’, type=’float’,
help=default(‘Time to delay between frames; <0 means keyboard’), default=0.1)parser.add_option(‘-c’, ‘–catchExceptions’, action=’store_true’, dest=’catchExceptions’, help=’Turns on exception handling and timeouts during games’, default=False)parser.add_option(‘–timeout’, dest=’timeout’, type=’int’,help=default(‘Maximum length of time an agent can spend computing in a single game’), default=30)options, otherjunk = parser.parse_args(argv)if len(otherjunk) != 0:raise Exception(‘Command line input not understood: ‘ + str(otherjunk))args = dict()# Fix the random seedif options.fixRandomSeed: random.seed(‘cs188’)# Choose a layoutargs[‘layout’] = layout.getLayout( options.layout )if args[‘layout’] == None: raise Exception(“The layout ” + options.layout + ” cannot be found”)# Choose a Pacman agentnoKeyboard = options.gameToReplay == None and (options.textGraphics or options.quietGraphics)pacmanType = loadAgent(options.pacman, noKeyboard)agentOpts = parseAgentArgs(options.agentArgs)if options.numTraining > 0:
args[‘numTraining’] = options.numTraining
if ‘numTraining’ not in agentOpts: agentOpts[‘numTraining’] = options.numTraining
pacman = pacmanType(**agentOpts) # Instantiate Pacman with agentArgs
args[‘pacman’] = pacman

# Don’t display training games
if ‘numTrain’ in agentOpts:
options.numQuiet = int(agentOpts[‘numTrain’])
options.numIgnore = int(agentOpts[‘numTrain’])

# Choose a ghost agent
ghostType = loadAgent(options.ghost, noKeyboard)
args[‘ghosts’] = [ghostType( i+1 ) for i in range( options.numGhosts )]

# Choose a display format
if options.quietGraphics:
import textDisplay
args[‘display’] = textDisplay.NullGraphics()
elif options.textGraphics:
import textDisplay
textDisplay.SLEEP_TIME = options.frameTime
args[‘display’] = textDisplay.PacmanGraphics()
else:
import graphicsDisplay
args[‘display’] = graphicsDisplay.PacmanGraphics(options.zoom, frameTime = options.frameTime)
args[‘numGames’] = options.numGames
args[‘record’] = options.record
args[‘catchExceptions’] = options.catchExceptions
args[‘timeout’] = options.timeout

# Special case: recorded games don’t use the runGames method or args structure
if options.gameToReplay != None:
print ‘Replaying recorded game %s.’ % options.gameToReplay
import cPickle
f = open(options.gameToReplay)
try: recorded = cPickle.load(f)
finally: f.close()
recorded[‘display’] = args[‘display’]
replayGame(**recorded)
sys.exit(0)

return args

def loadAgent(pacman, nographics):
# Looks through all pythonPath Directories for the right module,
pythonPathStr = os.path.expandvars(“$PYTHONPATH”)
if pythonPathStr.find(‘;’) == -1:
pythonPathDirs = pythonPathStr.split(‘:’)
else:
pythonPathDirs = pythonPathStr.split(‘;’)
pythonPathDirs.append(‘.’)

for moduleDir in pythonPathDirs:
if not os.path.isdir(moduleDir): continue
moduleNames = [f for f in os.listdir(moduleDir) if f.endswith(‘gents.py’)]
for modulename in moduleNames:
try:
module = __import__(modulename[:-3])
except ImportError:
continue
if pacman in dir(module):
if nographics and modulename == ‘keyboardAgents.py’:
raise Exception(‘Using the keyboard requires graphics (not text display)’)
return getattr(module, pacman)
raise Exception(‘The agent ‘ + pacman + ‘ is not specified in any *Agents.py.’)

def replayGame( layout, actions, display ):
import pacmanAgents, 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 runGames( layout, pacman, ghosts, display, numGames, record, numTraining = 0, catchExceptions=False, timeout=30 ):
import __main__
__main__.__dict__[‘_display’] = display

rules = ClassicGameRules(timeout)
games = []

for i in range( numGames ):
beQuiet = i < numTrainingif beQuiet:# Suppress output and graphicsimport textDisplaygameDisplay = textDisplay.NullGraphics()rules.quiet = Trueelse:gameDisplay = displayrules.quiet = Falsegame = rules.newGame( layout, pacman, ghosts, gameDisplay, beQuiet, catchExceptions)game.run()if not beQuiet: games.append(game)if record:import time, cPicklefname = (‘recorded-game-%d’ % (i + 1)) +’-‘.join([str(t) for t in time.localtime()[1:6]])f = file(fname, ‘w’)components = {‘layout’: layout, ‘actions’: game.moveHistory}cPickle.dump(components, f)f.close()if (numGames-numTraining) > 0:
scores = [game.state.getScore() for game in games]
wins = [game.state.isWin() for game in games]
winRate = wins.count(True)/ float(len(wins))
print ‘Average Score:’, sum(scores) / float(len(scores))
print ‘Scores: ‘, ‘, ‘.join([str(score) for score in scores])
print ‘Win Rate:%d/%d (%.2f)’ % (wins.count(True), len(wins), winRate)
print ‘Record: ‘, ‘, ‘.join([ [‘Loss’, ‘Win’][int(w)] for w in wins])

return games

if __name__ == ‘__main__’:
“””
The main function called when pacman.py is run
from the command line:

> python pacman.py

See the usage string for more details.

> python pacman.py –help
“””
args = readCommand( sys.argv[1:] ) # Get game components based on input
runGames( **args )

# import cProfile
# cProfile.run(“runGames( **args )”)
pass