Boltzmann wealth model: Use the new model.agents API

examples/boltzmann_wealth_model_experimental/model.py

@@ -2,7 +2,7 @@
 
 
 def compute_gini(model):
-    agent_wealths = [agent.wealth for agent in model.schedule.agents]
+    agent_wealths = model.agents.get("wealth")
     x = sorted(agent_wealths)
     N = model.num_agents
     B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x))
@@ -20,14 +20,12 @@ class BoltzmannWealthModel(mesa.Model):
     def __init__(self, N=100, width=10, height=10):
         self.num_agents = N
         self.grid = mesa.space.MultiGrid(width, height, True)
-        self.schedule = mesa.time.RandomActivation(self)
         self.datacollector = mesa.DataCollector(
             model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"}
         )
         # Create agents
         for i in range(self.num_agents):
             a = MoneyAgent(i, self)
-            self.schedule.add(a)
             # Add the agent to a random grid cell
             x = self.random.randrange(self.grid.width)
             y = self.random.randrange(self.grid.height)
@@ -37,7 +35,7 @@ def __init__(self, N=100, width=10, height=10):
         self.datacollector.collect(self)
 
     def step(self):
-        self.schedule.step()
+        self.agents.shuffle().do("step")
         # collect data
         self.datacollector.collect(self)