mirror of
https://github.com/gsi-upm/soil
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2869b1e1e6
* Removed old/unnecessary models
* Added a `simulation.{iter_}from_py` method to load simulations from python
files
* Changed tests of examples to run programmatic simulations
* Fixed programmatic examples
58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
"""
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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
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from networkx import Graph
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import logging
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def mygenerator():
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# Add only a node
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G = Graph()
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G.add_node(1)
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G.add_node(2)
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return G
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class MyAgent(agents.FSM):
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times_run = 0
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@agents.default_state
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@agents.state
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def neutral(self):
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self.debug("I am running")
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if self.prob(0.2):
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self.times_run += 1
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self.info("This runs 2/10 times on average")
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simulation = Simulation(
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name="Programmatic",
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model_params={
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'topology': {
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'params': {
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'generator': mygenerator
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},
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},
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'agents': {
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'distribution': [{
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'agent_class': MyAgent,
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'topology': True,
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}]
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}
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},
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seed='Program',
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agent_reporters={'times_run': 'times_run'},
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num_trials=1,
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max_time=100,
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dry_run=True,
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)
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if __name__ == "__main__":
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# By default, logging will only print WARNING logs (and above).
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# You need to choose a lower logging level to get INFO/DEBUG traces
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logging.basicConfig(level=logging.INFO)
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envs = simulation.run()
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for agent in envs[0].agents:
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print(agent.times_run)
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