def __init__(self, xsize, ysize, occlusions=[]):
self.AgentHome = COORD(int(floor((xsize-1)/2)), 0)
self.PredatorNum = 1
self.PredatorHome = COORD(0, 0)
self.ChaseProbability = 0.75
self.MoveProbability = 0.5
self.Discount = 0.95
self.GoalPos = COORD(int(floor((xsize-1)/2)), ysize-1)
self.Grid = Grid(xsize, ysize)
self.NumActions = 4
self.NumObservations = 2
Simulator.__init__(self, self.NumActions, self.NumObservations, self.Discount)
self.Occlusions = occlusions
self.RewardClearLevel = 1000
self.RewardDefault = -1
self.RewardDie = -100
self.RewardHitWall = -25
self.RewardRange = 100
self.State = GameState()
self.State.AgentPos = self.AgentHome
self.State.PredatorPos = self.PredatorHome
def __init__(self, **kwargs):
Simulator.__init__(self, kwargs['simulation_time'], kwargs['dt'])
self.simulator = tc.MPMSimulator()
self.resolution = (kwargs['simulation_width'], kwargs['simulation_height'])
self.simulation_width, self.simulation_height = self.resolution[0], self.resolution[1]
self.simulator.initialize(config_from_dict(kwargs))
self.config = kwargs
self.delta_x = kwargs['delta_x']
self.sample_rate = kwargs.get('sample_rate', 2)
def __init__(self, boxparam, density, temp, dr, multiplier, params,
command_list):
Simulator.__init__(self, boxparam, density, temp, dr, multiplier,
params[:2], command_list)
self.alpha = params[2]
self.r_a = params[3]
self.a_g = params[4]
self.sig_g = params[5]
self.r_g = params[6]
def __init__(self, **kwargs):
Simulator.__init__(self, kwargs['simulation_time'], kwargs['dt'])
simulator_name = kwargs['simulator']
self.simulator = tc.__dict__[simulator_name]()
self.simulator.initialize(Simulator.config_from_dict(kwargs))
self.config = kwargs
self.delta_x = kwargs['delta_x']
self.resolution = [kwargs['simulation_width'], kwargs['simulation_height']]
self.simulation_width, self.simulation_height = self.resolution[0], self.resolution[1]
self.sample_rate = kwargs.get('sample_rate', 2)
self.show_pressure = kwargs.get('show_pressure', False)
def __init__(self):
Simulator.__init__(self)
self.stigmergy_network = copy.deepcopy(self.original_network)
self.stigmergy_free_network = copy.deepcopy(self.original_network)
self.long_term_stigmergies = self.short_term_stigmergies = {}
self.today_long_term_stigmergy = self.today_short_term_stigmergy = {}
self.edge_ids = [edge.getID().encode('utf-8') for edge in self.sumo_net.getEdges()]
if self.conf.dce == True:
self.dce_stigmergy = {}
for node in self.sumo_net.getNodes():
self.dce_stigmergy[node.getID().encode('utf-8')] = {}
def __init__(self, **kwargs):
Simulator.__init__(self, kwargs['simulation_time'], kwargs['frame_dt'])
self.simulator = tc_core.MPMSimulator()
self.res = kwargs['res']
kwargs['delta_x'] = 1.0 / min(self.res)
self.simulator.initialize(config_from_dict(kwargs))
self.config = kwargs
self.delta_x = kwargs['delta_x']
self.sample_rate = kwargs.get('sample_rate', 2)
self.show_limits = kwargs.get('show_limits', True)
def dummy_levelset_generator(_):
return self.create_levelset()
self.levelset_generator = dummy_levelset_generator
def __init__(self,
xsize,
ysize,
occlusions=[],
visualrange=None,
verbose=False):
self.AgentHome = COORD(int(floor((xsize - 1) / 2)), 0)
self.PredatorNum = 1
self.PredatorHome = COORD(0, 0)
self.ChaseProbability = 0.75
self.MoveProbability = 0.5
self.Discount = 0.95
self.GoalPos = COORD(int(floor((xsize - 1) / 2)),
ysize - 1) #int(floor((xsize-1)/2))
self.Grid = Grid(xsize, ysize)
self.NumActions = 4
self.VisualRange = visualrange
self.Occlusions = occlusions
if not visualrange:
self.NumObservations = 2
else:
self.VisionObservationBit = len(
self.Grid.VisualArea(COORD(0, 0), 0, self.VisualRange))
self.NumObservations = self.VisionObservationBit #1 << (self.VisionObservationBit)
visualArea = self.Grid.VisualArea(self.AgentHome, 0,
self.VisualRange)
Simulator.__init__(self, self.NumActions, self.NumObservations,
self.GoalPos, occlusions, self.Discount)
self.RewardClearLevel = 1000
self.RewardDefault = -1
self.RewardDie = -100
self.RewardHitWall = -25
self.RewardRange = 100
self.State = GameState()
self.State.AgentPos = self.AgentHome
self.State.PredatorPos = self.PredatorHome
self.XSize = xsize
self.YSize = ysize
if verbose:
#self.Display = Display(xsize, ysize, 'game')
self.InitializeDisplay()
def __init__(self):
# Settings for the simulation
Simulator.__init__(self)
def __init__(self):
Simulator.__init__(self)
# dependent table
self.dependent_table = [0] * 2
self.dependent_table[0] = -1
self.dependent_table[1] = -1
def __init__(self, fps=30):
Simulator.__init__(self)
self.lasttime = 0
self.fps = fps
self.perframe = (1.0 / fps) * 1000
self.lasttime = datetime.datetime.now()