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https://github.com/gsi-upm/soil
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feab0ba79e
The examples weren't being properly tested in the last commit. When we fixed that a lot of bugs in the new implementation of environment and agent were found, which accounts for most of these changes. The main difference is the mechanism to load simulations from a configuration file. For that to work, we had to rework our module loading code in `serialization` and add a `source_file` attribute to configurations (and simulations, for that matter).
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
from soil.agents import FSM, state, default_state
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from soil.time import Delta
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class Fibonacci(FSM):
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"""Agent that only executes in t_steps that are Fibonacci numbers"""
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prev = 1
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@default_state
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@state
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def counting(self):
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self.log("Stopping at {}".format(self.now))
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prev, self["prev"] = self["prev"], max([self.now, self["prev"]])
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return None, Delta(prev)
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class Odds(FSM):
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"""Agent that only executes in odd t_steps"""
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@default_state
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@state
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def odds(self):
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self.log("Stopping at {}".format(self.now))
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return None, Delta(1 + self.now % 2)
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from soil import Environment, Simulation
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from networkx import complete_graph
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class TimeoutsEnv(Environment):
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def init(self):
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self.create_network(generator=complete_graph, n=2)
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self.add_agent(agent_class=Fibonacci, node_id=0)
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self.add_agent(agent_class=Odds, node_id=1)
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sim = Simulation(model=TimeoutsEnv, max_steps=10, interval=1)
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if __name__ == "__main__":
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sim.run(dump=False) |