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soil/examples/programmatic/programmatic.py

58 lines
1.3 KiB
Python

"""
Example of a fully programmatic simulation, without definition files.
"""
from soil import Simulation, agents
from networkx import Graph
import logging
def mygenerator():
# Add only a node
G = Graph()
G.add_node(1)
G.add_node(2)
return G
class MyAgent(agents.FSM):
times_run = 0
@agents.default_state
@agents.state
def neutral(self):
self.debug("I am running")
if self.prob(0.2):
self.times_run += 1
self.info("This runs 2/10 times on average")
simulation = Simulation(
name="Programmatic",
model_params={
'topology': {
'params': {
'generator': mygenerator
},
},
'agents': {
'distribution': [{
'agent_class': MyAgent,
'topology': True,
}]
}
},
seed='Program',
agent_reporters={'times_run': 'times_run'},
num_trials=1,
max_time=100,
dry_run=True,
)
if __name__ == "__main__":
# By default, logging will only print WARNING logs (and above).
# You need to choose a lower logging level to get INFO/DEBUG traces
logging.basicConfig(level=logging.INFO)
envs = simulation.run()
for agent in envs[0].agents:
print(agent.times_run)