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45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
from mesa import batch_run, DataCollector, Agent, Model
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from mesa.time import RandomActivation
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class NoopAgent(Agent):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.num_calls = 0
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def step(self):
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# import pdb;pdb.set_trace()
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self.num_calls += 1
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class NoopModel(Model):
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def __init__(self, N):
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super().__init__()
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self.schedule = RandomActivation(self)
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for i in range(N):
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self.schedule.add(NoopAgent(self.next_id(), self))
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self.datacollector = DataCollector(model_reporters={"num_agents": lambda m: m.schedule.get_agent_count(),
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"time": lambda m: m.schedule.time},
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agent_reporters={"num_calls": "num_calls"})
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self.datacollector.collect(self)
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def step(self):
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self.schedule.step()
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self.datacollector.collect(self)
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if __name__ == "__main__":
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from _config import *
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res = batch_run(model_cls=NoopModel,
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max_steps=MAX_STEPS,
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iterations=NUM_ITERS,
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number_processes=1,
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parameters={'N': NUM_AGENTS})
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total = sum(s["num_calls"] for s in res)
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total_agents = sum(s["num_agents"] for s in res)
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assert len(res) == NUM_AGENTS * NUM_ITERS
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assert total == NUM_AGENTS * NUM_ITERS * MAX_STEPS
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assert total_agents == NUM_AGENTS * NUM_AGENTS * NUM_ITERS
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