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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).
39 lines
1004 B
Python
39 lines
1004 B
Python
from networkx import Graph
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import random
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import networkx as nx
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from soil import Simulation, Environment, CounterModel, parameters
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def mygenerator(n=5, n_edges=5):
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"""
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Just a simple generator that creates a network with n nodes and
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n_edges edges. Edges are assigned randomly, only avoiding self loops.
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"""
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G = nx.Graph()
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for i in range(n):
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G.add_node(i)
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for i in range(n_edges):
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nodes = list(G.nodes)
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n_in = random.choice(nodes)
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nodes.remove(n_in) # Avoid loops
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n_out = random.choice(nodes)
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G.add_edge(n_in, n_out)
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return G
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class GeneratorEnv(Environment):
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"""Using a custom generator for the network"""
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generator: parameters.function = staticmethod(mygenerator)
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def init(self):
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self.create_network(generator=self.generator, n=10, n_edges=5)
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self.add_agents(CounterModel)
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sim = Simulation(model=GeneratorEnv, max_steps=10, interval=1)
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if __name__ == '__main__':
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sim.run(dump=False) |