def readCommand( argv ):
"""
Processes the command used to run from the command line.
"""
import getopt
import gui
# Set default options
options = {'layout': 'small',
'numships': 1,
'sensortype': 'deterministic',
'player': 'human',
'inference': 'exact',
'zoom' : None,
'noise' : 0.0,
'showships': False,
'showbeliefs': True}
args = {} # This dictionary will hold the objects used by the game
# Read input from the command line
commands = ['help',
'layout=',
'ships=',
'sensortype=',
'player',
'inference',
'zoom=',
'showships',
'hidebeliefs' ]
try:
opts = getopt.getopt( argv, "hl:k:s:p:i:z:n:m:wq", commands )
except getopt.GetoptError:
print USAGE_STRING
sys.exit( 2 )
for option, value in opts[0]:
if option in ['--help', '-h']:
print USAGE_STRING
sys.exit( 0 )
if option in ['--player', '-p']:
options['player'] = value
if option in ['--inference', '-i']:
options['inference'] = value
if option in ['--layout', '-l']:
options['layout'] = value
if option in ['--ships', '-k']:
options['numships'] = int( value )
if option in ['--sensortype', '-s']:
options['sensortype'] = value
if option in ['--zoom', '-z']:
options['zoom'] = float( value )
if option in ['--showships', '-w']:
options['showships'] = True
if option in ['--hidebeliefs', '-q']:
options['showbeliefs'] = False
# numships
args['numships'] = options['numships']
# Choose a layout
boardSizes = { 'test': (3,3),
'small': (4,6),
'medium': (6,10),
'large': (10,16) }
args['layout'] = Layout( boardSizes[ options['layout'] ] )
# auto-scaling the gui
numSquares = args['layout'].cols
if not options['zoom']:
options['zoom'] = 1 - (numSquares / 32.0)
# scale with zoom
gui.scaleGridSize(options['zoom'])
# sensor distribution
import sensorDistributions
if options['sensortype'] == 'deterministic':
args['sensors'] = Sensors(sensorDistributions.deterministicSensorReadingDistribution)
elif options['sensortype'] == 'noisy':
args['sensors'] = Sensors(sensorDistributions.noisySensorReadingDistribution)
import battleshipAgent
agentBuilder = None
if options['player'] == 'human':
agentBuilder = lambda game: battleshipAgent.StaticKeyboardAgent(battleshipAgent.ExactStaticInferenceModule(game), game)
if options['player'] == 'vpi':
agentBuilder = lambda game: battleshipAgent.StaticVPIAgent(battleshipAgent.ExactStaticInferenceModule(game), game)
if agentBuilder == None:
raise 'Agent not specd correctly!'
args['agent'] = agentBuilder
# show ships, beliefs
if options['showships']:
gui.SHOW_SHIPS = True
if not options['showbeliefs']:
gui.SHOW_BELIEFS = False
return args
def readCommand(argv):
"""
Processes the command used to run from the command line.
"""
import getopt
import gui
# Set default options
options = {
'layout': 'small',
'numships': 1,
'sensortype': 'deterministic',
'player': 'human',
'inference': 'exact',
'zoom': None,
'noise': 0.0,
'motion': 'basic',
'samples': 10000,
'showships': False,
'showbeliefs': True
}
args = {} # This dictionary will hold the objects used by the game
# Read input from the command line
commands = [
'help', 'layout=', 'ships=', 'sensortype=', 'player', 'inference',
'zoom=', 'motionnoise=', 'motiontype=', 'samples=', 'showships',
'hidebeliefs'
]
try:
opts = getopt.getopt(argv, "hl:k:s:p:i:z:n:m:r:wq", commands)
except getopt.GetoptError:
print USAGE_STRING
sys.exit(2)
for option, value in opts[0]:
if option in ['--help', '-h']:
print USAGE_STRING
sys.exit(0)
if option in ['--player', '-p']:
options['player'] = value
if option in ['--inference', '-i']:
options['inference'] = value
if option in ['--layout', '-l']:
options['layout'] = value
if option in ['--ships', '-k']:
options['numships'] = int(value)
if option in ['--sensortype', '-s']:
options['sensortype'] = value
if option in ['--zoom', '-z']:
options['zoom'] = float(value)
if option in ['--motionnoise', '-n']:
options['noise'] = float(value)
if option in ['--motiontype', '-m']:
options['motion'] = value
if option in ['--samples', '-r']:
options['samples'] = int(value)
if option in ['--showships', '-w']:
options['showships'] = True
if option in ['--hidebeliefs', '-q']:
options['showbeliefs'] = False
# numships
args['numships'] = options['numships']
# Choose a layout
boardSizes = {
'test': (3, 3),
'small': (4, 6),
'medium': (6, 10),
'large': (10, 16)
}
args['layout'] = Layout(boardSizes[options['layout']])
# auto-scaling the gui
numSquares = args['layout'].cols
if not options['zoom']:
options['zoom'] = 1 - (numSquares / 32.0)
# scale with zoom
gui.scaleGridSize(options['zoom'])
# sensor distribution
import sensorDistributions
if options['sensortype'] == 'deterministic':
args['sensors'] = Sensors(
sensorDistributions.deterministicSensorReadingDistribution)
elif options['sensortype'] == 'noisy':
args['sensors'] = Sensors(
sensorDistributions.noisySensorReadingDistribution)
# time
args['motion'] = None
timed = False
if options['motion'] != 'basic' or options['noise'] > 0:
timed = True
gui.USE_TIME = True
args['motion'] = Motion(args['layout'], options['motion'],
options['noise'])
import battleshipAgent
agentBuilder = None
if not timed:
if options['player'] == 'human':
agentBuilder = lambda game: battleshipAgent.StaticKeyboardAgent(
battleshipAgent.ExactStaticInferenceModule(game), game)
if options['player'] == 'vpi':
agentBuilder = lambda game: battleshipAgent.StaticVPIAgent(
battleshipAgent.ExactStaticInferenceModule(game), game)
else:
if options['inference'] == 'exact':
agentBuilder = lambda game: battleshipAgent.DynamicKeyboardAgent(
battleshipAgent.ExactDynamicInferenceModule(game), game)
if options['inference'] == 'approximate':
agentBuilder = lambda game: battleshipAgent.DynamicKeyboardAgent(
battleshipAgent.ApproximateDynamicInferenceModule(
game, options['samples']), game)
if agentBuilder == None:
raise 'Agent not spec\'d correctly!'
args['agent'] = agentBuilder
# show ships, beliefs
if options['showships']:
gui.SHOW_SHIPS = True
if not options['showbeliefs']:
gui.SHOW_BELIEFS = False
return args
def readCommand( argv ):
"""
Processes the command used to run from the command line.
"""
import getopt
import gui
# Set default options
options = {'prior': 'uniform',
'fixrandomseed': False,
'layout': 'small',
'numghosts': 1,
'sensortype': 'deterministic',
'player': 'human',
'inference': 'exact',
'zoom' : None,
'noise' : 0.0,
'motion': 'basic',
'samples': 10000,
'showghosts': False,
'showbeliefs': True}
args = {} # This dictionary will hold the objects used by the game
# Read input from the command line
commands = ['help',
'prior=',
'fixrandomseed',
'layout=',
'ghosts=',
'sensortype=',
'player=',
'inference=',
'zoom=',
'motionnoise=',
'motiontype=',
'samples=',
'showghosts',
'hidebeliefs']
try:
opts = getopt.getopt( argv, "hl:k:s:p:i:z:n:m:r:wq", commands )
except getopt.GetoptError:
print USAGE_STRING
sys.exit( 2 )
for option, value in opts[0]:
if option in ['--help', '-h']:
print USAGE_STRING
sys.exit( 0 )
if option in ['--player', '-p']:
options['player'] = value
if option in ['--inference', '-i']:
options['inference'] = value
if option in ['--layout', '-l']:
options['layout'] = value
if option in ['--ghosts', '-k']:
options['numghosts'] = int( value )
if option in ['--sensortype', '-s']:
options['sensortype'] = value
if option in ['--zoom', '-z']:
options['zoom'] = float( value )
if option in ['--motionnoise', '-n']:
options['noise'] = float( value )
if option in ['--motiontype', '-m']:
options['motion'] = value
if option in ['--samples', '-r']:
options['samples'] = int( value )
if option in ['--showghosts', '-w']:
options['showghosts'] = True
if option in ['--hidebeliefs', '-q']:
options['showbeliefs'] = False
if option in ['--prior']:
options['prior'] = value
if option in ['--fixrandomseed']:
options['fixrandomseed'] = True
# numghosts
args['numghosts'] = options['numghosts']
# Choose a layout
boardSizes = { 'tiny': (2,1),
'test': (3,3),
'small': (4,6),
'medium': (6,10),
'large': (10,16) }
args['layout'] = Layout( boardSizes[ options['layout'] ] )
# auto-scaling the gui
numSquares = args['layout'].cols
if not options['zoom']:
options['zoom'] = 1 - (numSquares / 32.0)
# scale with zoom
gui.scaleGridSize(options['zoom'])
# sensor distribution
import sensorDistributions
if options['sensortype'] == 'deterministic':
args['sensors'] = Sensors(sensorDistributions.deterministicSensorReadingDistribution)
elif options['sensortype'] == 'noisy':
args['sensors'] = Sensors(sensorDistributions.noisySensorReadingDistribution)
elif options['sensortype'] == 'simple':
args['sensors'] = Sensors(sensorDistributions.simpleSensorReadingDistribution)
else:
raise Exception('Sensor type %s is unknown', options['sensortype'])
# time
args['motion'] = None
timed = False
if options['motion'] != 'basic' or options['noise'] > 0:
timed = True
gui.USE_TIME = True
args['motion'] = Motion(args['layout'], options['motion'], options['noise'])
import ghostbusterAgent
agentBuilder = None
if not timed:
if options['player'] == 'human':
agentBuilder = lambda game: ghostbusterAgent.StaticKeyboardAgent(staticInferenceModule.ExactStaticInferenceModule(game), game)
if options['player'] == 'vpi':
agentBuilder = lambda game: ghostbusterAgent.StaticVPIAgent(staticInferenceModule.ExactStaticInferenceModule(game), game)
else:
if options['inference'] == 'exact':
agentBuilder = lambda game: ghostbusterAgent.DynamicKeyboardAgent(dynamicInferenceModule.ExactDynamicInferenceModule(game), game)
if options['inference'] == 'approximate':
agentBuilder = lambda game: ghostbusterAgent.DynamicKeyboardAgent(dynamicInferenceModule.ApproximateDynamicInferenceModule(game, options['samples']), game)
if agentBuilder == None:
raise 'Agent not spec\'d correctly!'
args['agent'] = agentBuilder
# show ghosts, beliefs
if options['showghosts']:
gui.SHOW_GHOSTS = True
if not options['showbeliefs']:
gui.SHOW_BELIEFS = False
# prior
args['prior'] = options['prior'] == 'uniform'
# random seed
if options['fixrandomseed']: random.seed(1)
return args
