def __init__(self, N, width, height, grid=10, iter=100000, seed=None):
"""Initialize the attributes."""
if seed is None:
super(EnvironmentModel, self).__init__(seed=None)
else:
super(EnvironmentModel, self).__init__(seed)
self.runid = datetime.datetime.now().strftime("%s") + str(
self.random.randint(1, 1000, 1)[0])
self.pname = os.getcwd() + '/' + self.runid + "SForagingComm"
self.stepcnt = 1
self.iter = iter
self.top = None
# Create db connection
connect = Connect('swarm', 'swarm', 'swarm', 'localhost')
self.connect = connect.tns_connect()
# Fill out the experiment table
self.experiment = Experiment(self.connect, self.runid, N, seed,
'SForaging Communication', iter, width,
height, grid)
self.experiment.insert_experiment()
self.sn = self.experiment.sn
# Create a folder to store results
os.mkdir(self.pname)
self.num_agents = N
self.grid = Grid(width, height, grid)
self.schedule = SimultaneousActivation(self)
# self.site = Sites(id=1, location=(5, 5), radius=11, q_value=0.5)
# self.grid.add_object_to_grid(self.site.location, self.site)
# self.hub = Hub(id=1, location=(0, 0), radius=11)
# self.grid.add_object_to_grid(self.hub.location, self.hub)
self.agents = []
# Create agents
for i in range(self.num_agents):
a = SwarmAgent(i, self)
self.schedule.add(a)
# Add the agent to a random grid cell
x = self.random.randint(-self.grid.width / 2, self.grid.width / 2)
# x = 0
y = self.random.randint(-self.grid.height / 2,
self.grid.height / 2)
# y = 0
a.location = (x, y)
self.grid.add_object_to_grid((x, y), a)
a.operation_threshold = 2 # self.num_agents // 10
self.agents.append(a)
def setUp(self):
"""Set up required stuffs."""
self.dbname = 'swarm'
self.username = '******'
self.passwd = 'swarm'
self.hostname = 'localhost'
self.connect = Connect(self.dbname, self.username, self.passwd,
self.hostname)
def __init__(
self, N, width, height, grid=10, iter=100000,
seed=None, name='CTForaging', viewer=False,
parent=None, ratio=1.0):
"""Initialize the attributes."""
if seed is None:
super(CTModel, self).__init__(seed=None)
else:
super(CTModel, self).__init__(seed)
# Create a unique experiment id
self.runid = datetime.datetime.now().timestamp()
self.runid = str(self.runid).replace('.', '')
# Create the experiment folder
# If parent folder exits create inside it
if parent is not None and pathlib.Path(parent).is_dir():
self.pname = parent + '/' + self.runid + '-' + str(ratio) + name
else:
self.pname = '/'.join(
os.getcwd().split('/')[:-2]
) + '/results/' + self.runid + '-' + str(iter) + name
# Define some parameters to count the step
self.stepcnt = 1
self.iter = iter
# UI
self.viewer = viewer
# Create db connection
connect = Connect('swarm', 'swarm', 'swarm', 'localhost')
self.connect = connect.tns_connect()
# Fill out the experiment table
self.experiment = Experiment(
self.connect, self.runid, N, seed, name,
iter, width, height, grid)
self.experiment.insert_experiment()
# Get the primary key of the experiment table for future use
self.sn = self.experiment.sn
# Create a folder to store results
os.mkdir(self.pname)
# Number of agents
self.num_agents = N
# Environmental grid size
self.grid = Grid(width, height, grid)
# Schedular to active agents
self.schedule = SimultaneousActivation(self)
# Empty list of hold the agents
self.agents = []
def __init__(
self, N, width, height, grid=10, iter=100000,
xmlstrings=None, seed=None, viewer=False, pname=None,
expname='MSFSimulation', agent='SimAgent'):
"""Initialize the attributes."""
if seed is None:
super(SimModel, self).__init__(seed=None)
else:
super(SimModel, self).__init__(seed)
self.runid = datetime.datetime.now().strftime(
"%s") + str(self.random.randint(1, 1000, 1)[0])
if pname is None:
self.pname = os.getcwd() + '/' + self.runid + expname
else:
self.pname = pname + '/' + self.runid + expname
self.width = width
self.height = height
self.stepcnt = 1
self.iter = iter
self.xmlstrings = xmlstrings
self.viewer = viewer
# Create db connection
connect = Connect('swarm', 'swarm', 'swarm', 'localhost')
self.connect = connect.tns_connect()
# Fill out the experiment table
self.experiment = Experiment(
self.connect, self.runid, N, seed, expname,
iter, width, height, grid, phenotype=xmlstrings[0])
self.experiment.insert_experiment_simulation()
self.sn = self.experiment.sn
# Create a folder to store results
os.mkdir(self.pname)
self.num_agents = N
self.grid = Grid(width, height, grid)
self.schedule = SimultaneousActivation(self)
self.agents = []
bound = np.ceil((self.num_agents * 1.0) / len(self.xmlstrings))
j = 0
# Create agents
for i in range(self.num_agents):
# print (i, j, self.xmlstrings[j])
a = eval(agent)(i, self, xmlstring=self.xmlstrings[j])
self.schedule.add(a)
# Add the agent to a random grid cell
# x = self.random.randint(
# -self.grid.width / 2, self.grid.width / 2)
x = 0
# y = self.random.randint(
# -self.grid.height / 2, self.grid.height / 2)
y = 0
a.location = (x, y)
self.grid.add_object_to_grid((x, y), a)
a.operation_threshold = 2 # self.num_agents // 10
self.agents.append(a)
if (i + 1) % bound == 0:
j += 1
def __init__(self,
N,
width,
height,
grid=10,
iter=100000,
seed=None,
expname='COT',
agent='EvolAgent',
parm='swarm_mcarry.txt'):
"""Initialize the attributes."""
if seed is None:
super(EvolModel, self).__init__(seed=None)
else:
super(EvolModel, self).__init__(seed)
self.runid = datetime.datetime.now().strftime("%s") + str(
self.random.randint(1, 1000, 1)[0])
self.pname = '/'.join(os.getcwd().split('/')[:-2]) + '/results/' \
+ self.runid + expname
self.stepcnt = 1
self.iter = iter
self.top = None
# Create db connection
connect = Connect('swarm', 'swarm', 'swarm', 'localhost')
self.connect = connect.tns_connect()
# Fill out the experiment table
self.experiment = Experiment(self.connect, self.runid, N, seed,
expname, iter, width, height, grid)
self.experiment.insert_experiment()
self.sn = self.experiment.sn
# Create a folder to store results
os.mkdir(self.pname)
self.num_agents = N
self.grid = Grid(width, height, grid)
self.schedule = SimultaneousActivation(self)
self.agents = []
self.parm = parm
# Create agents
for i in range(self.num_agents):
a = eval(agent)(i, self)
self.schedule.add(a)
# Add the agent to a random grid cell
x = self.random.randint(-self.grid.width / 2, self.grid.width / 2)
# x = 0
y = self.random.randint(-self.grid.height / 2,
self.grid.height / 2)
# y = 0
a.location = (x, y)
self.grid.add_object_to_grid((x, y), a)
a.operation_threshold = 2 # self.num_agents // 10
self.agents.append(a)
def __init__(self,
N,
width,
height,
grid=10,
iter=100000,
xmlstrings=None,
seed=None,
viewer=False,
pname=None):
"""Initialize the attributes."""
if seed is None:
super(SimModelComm, self).__init__(seed=None)
else:
super(SimModelComm, self).__init__(seed)
self.runid = datetime.datetime.now().timestamp()
self.runid = str(self.runid).replace(
'.', '') + '-' + str(prob).replace('.', '')
#self.runid = datetime.datetime.now().strftime(
# "%s") + str(self.random.randint(1, 1000, 1)[0])
if pname is None:
self.pname = os.getcwd() + '/' + self.runid + "SForagingSimulation"
else:
self.pname = pname + '/' + self.runid + "SForagingSimulation"
# self.pname = os.getcwd() + '/' + self.runid + "SFCommSimulation"
self.width = width
self.height = height
self.stepcnt = 1
self.iter = iter
self.xmlstrings = xmlstrings
self.viewer = viewer
# Create db connection
connect = Connect('swarm', 'swarm', 'swarm', 'localhost')
self.connect = connect.tns_connect()
# Fill out the experiment table
self.experiment = Experiment(self.connect,
self.runid,
N,
seed,
'Simuation SFComm',
iter,
width,
height,
grid,
phenotype=xmlstrings[0])
self.experiment.insert_experiment_simulation()
self.sn = self.experiment.sn
# Create a folder to store results
os.mkdir(self.pname)
self.num_agents = N
self.grid = Grid(width, height, grid)
self.schedule = SimultaneousActivation(self)
# self.site = Sites(id=1, location=(5, 5), radius=11, q_value=0.5)
# self.grid.add_object_to_grid(self.site.location, self.site)
# self.hub = Hub(id=1, location=(0, 0), radius=11)
# self.grid.add_object_to_grid(self.hub.location, self.hub)
self.agents = []
bound = np.ceil((self.num_agents * 1.0) / len(self.xmlstrings))
j = 0
# Create agents
for i in range(self.num_agents):
# print (i, j, self.xmlstrings[j])
a = SimAgent(i, self, xmlstring=self.xmlstrings[j])
self.schedule.add(a)
# Add the agent to a random grid cell
# x = self.random.randint(
# -self.grid.width / 2, self.grid.width / 2)
x = 0
# y = self.random.randint(
# -self.grid.height / 2, self.grid.height / 2)
y = 0
a.location = (x, y)
self.grid.add_object_to_grid((x, y), a)
a.operation_threshold = 2 # self.num_agents // 10
self.agents.append(a)
if (i + 1) % bound == 0:
j += 1