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39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
import os
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from soil import simulation
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NUM_AGENTS = int(os.environ.get('NUM_AGENTS', 100))
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NUM_ITERS = int(os.environ.get('NUM_ITERS', 10))
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MAX_STEPS = int(os.environ.get('MAX_STEPS', 500))
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def run_sim(model, **kwargs):
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from soil import Simulation
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opts = dict(model=model,
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dump=False,
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num_processes=1,
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parameters={'num_nodes': NUM_AGENTS,
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"avg_node_degree": 3,
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"initial_outbreak_size": 5,
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"virus_spread_chance": 0.25,
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"virus_check_frequency": 0.25,
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"recovery_chance": 0.3,
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"gain_resistance_chance": 0.1,
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},
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max_steps=MAX_STEPS,
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iterations=NUM_ITERS)
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opts.update(kwargs)
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its = Simulation(**opts).run()
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assert len(its) == NUM_ITERS
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if not simulation._AVOID_RUNNING:
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ratios = list(it.resistant_susceptible_ratio for it in its)
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print("Max - Avg - Min ratio:", max(ratios), sum(ratios)/len(ratios), min(ratios))
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infected = list(it.number_infected for it in its)
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print("Max - Avg - Min infected:", max(infected), sum(infected)/len(infected), min(infected))
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assert all((it.schedule.steps == MAX_STEPS or it.number_infected == 0) for it in its)
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assert all(sum([it.number_susceptible,
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it.number_infected,
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it.number_resistant]) == NUM_AGENTS for it in its)
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return its
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