mirror of
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).
48 lines
940 B
Python
48 lines
940 B
Python
"""
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Example of setting a
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Example of a fully programmatic simulation, without definition files.
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"""
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from soil import Simulation, agents, Environment
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from soil.time import Delta
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class MyAgent(agents.FSM):
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"""
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An agent that first does a ping
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"""
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defaults = {"pong_counts": 2}
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@agents.default_state
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@agents.state
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def ping(self):
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self.info("Ping")
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return self.pong, Delta(self.random.expovariate(1 / 16))
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@agents.state
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def pong(self):
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self.info("Pong")
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self.pong_counts -= 1
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self.info(str(self.pong_counts))
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if self.pong_counts < 1:
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return self.die()
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return None, Delta(self.random.expovariate(1 / 16))
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class RandomEnv(Environment):
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def init(self):
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self.add_agent(agent_class=MyAgent)
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s = Simulation(
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name="Programmatic",
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model=RandomEnv,
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num_trials=1,
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max_time=100,
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dump=False,
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)
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envs = s.run()
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