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https://github.com/gsi-upm/soil
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73282530fd
All test pass, except for the TestConfig suite, which is not too critical as the plan for this version onwards is to avoid configuration as much as possible.
112 lines
2.7 KiB
Python
112 lines
2.7 KiB
Python
from mesa.visualization.ModularVisualization import ModularServer
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from mesa.visualization.UserParam import Slider, Choice
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from mesa.visualization.modules import ChartModule, NetworkModule, CanvasGrid
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from social_wealth import MoneyEnv, graph_generator, SocialMoneyAgent
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import networkx as nx
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class MyNetwork(NetworkModule):
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def render(self, model):
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return self.portrayal_method(model)
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def network_portrayal(env):
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# The model ensures there is 0 or 1 agent per node
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portrayal = dict()
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wealths = {
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node_id: data["agent"].wealth for (node_id, data) in env.G.nodes(data=True)
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}
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portrayal["nodes"] = [
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{
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"id": node_id,
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"size": 2 * (wealth + 1),
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"color": "#CC0000" if wealth == 0 else "#007959",
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# "color": "#CC0000",
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"label": f"{node_id}: {wealth}",
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}
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for (node_id, wealth) in wealths.items()
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]
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portrayal["edges"] = [
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{"id": edge_id, "source": source, "target": target, "color": "#000000"}
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for edge_id, (source, target) in enumerate(env.G.edges)
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]
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return portrayal
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def gridPortrayal(agent):
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"""
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This function is registered with the visualization server to be called
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each tick to indicate how to draw the agent in its current state.
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:param agent: the agent in the simulation
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:return: the portrayal dictionary
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"""
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color = max(10, min(agent.wealth * 10, 100))
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return {
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"Shape": "rect",
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"w": 1,
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"h": 1,
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"Filled": "true",
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"Layer": 0,
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"Label": agent.unique_id,
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"Text": agent.unique_id,
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"x": agent.pos[0],
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"y": agent.pos[1],
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"Color": f"rgba(31, 10, 255, 0.{color})",
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}
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grid = MyNetwork(network_portrayal, 500, 500)
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chart = ChartModule(
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[{"Label": "Gini", "Color": "Black"}], data_collector_name="datacollector"
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)
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model_params = {
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"N": Slider(
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"N",
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5,
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1,
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10,
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1,
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description="Choose how many agents to include in the model",
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),
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"height": Slider(
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"height",
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5,
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5,
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10,
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1,
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description="Grid height",
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),
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"width": Slider(
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"width",
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5,
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5,
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10,
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1,
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description="Grid width",
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),
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"agent_class": Choice(
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"Agent class",
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value="MoneyAgent",
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choices=["MoneyAgent", "SocialMoneyAgent"],
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),
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"generator": graph_generator,
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}
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canvas_element = CanvasGrid(
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gridPortrayal, model_params["width"].value, model_params["height"].value, 500, 500
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)
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server = ModularServer(
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MoneyEnv, [grid, chart, canvas_element], "Money Model", model_params
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)
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server.port = 8521
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if __name__ == '__main__':
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server.launch(open_browser=False)
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