soil/examples/custom_generator/generator_sim.py

from networkx import Graph
import random
import networkx as nx
from soil import Simulation, Environment, CounterModel, parameters


def mygenerator(n=5, n_edges=5):
    """
    Just a simple generator that creates a network with n nodes and
    n_edges edges. Edges are assigned randomly, only avoiding self loops.
    """
    G = nx.Graph()

    for i in range(n):
        G.add_node(i)

    for i in range(n_edges):
        nodes = list(G.nodes)
        n_in = random.choice(nodes)
        nodes.remove(n_in)  # Avoid loops
        n_out = random.choice(nodes)
        G.add_edge(n_in, n_out)
    return G


class GeneratorEnv(Environment):
    """Using a custom generator for the network"""

    generator: parameters.function = mygenerator

    def init(self):
        self.create_network(network_generator=self.generator, n=10, n_edges=5)
        self.init_agents(CounterModel)


sim = Simulation(model=GeneratorEnv, max_steps=10, interval=1)

if __name__ == '__main__':
    sim.run(dry_run=True)