def on_begin(self):
log.info("Randomizing...")
self.random = numpy.random.RandomState()
self.random.seed(self.parameters.seed)
log.info("Clearing Landscape...")
self.landscape = self.parameters.landscape
self.landscape.clear()
# Make the agents
log.info("Constructing Agents...")
self.next_serial = 0
self.agents = []
self.default_placement = placement.random_placement()
self.default_placement.sim = self
self.placements = set([self.default_placement])
for cls, num, pc in self.parameters.agents_to_create:
new_agents = [cls(self) for i in range(num)]
if pc is None:
pc = self.default_placement
elif pc not in self.placements:
pc.sim = self
self.placements.add(pc)
# Add to simulation and to the placement algorithm
self.agents.extend(new_agents)
pc.agents.extend(new_agents)
for p in self.placements:
p.place()
def __init__(self, seed, treatment_name, replicate_seq, parameters):
pytreatments.Simulation.__init__(
self, seed, treatment_name, replicate_seq)
self.parameters = parameters
log.info("Randomizing...")
self.random = numpy.random.RandomState()
self.random.seed(self.parameters.seed)
self.landscape = self.parameters.landscape
self.patch_controller = patch_control.PatchController(
patches=self.landscape.patches,
depth=self.parameters.neighbourhood_size,
random_state=self.random
)
self.agents = []
self.next_serial = 0
self.default_placement = placement.random_placement()
self.default_placement.sim = self
self.placements = {self.default_placement}
