Use performance optimized shuffle_do() method

Replace shuffle().do() in 18 models with the performance optimized shuffle_do() method

examples/aco_tsp/aco_tsp/model.py

@@ -225,7 +225,7 @@ def step(self):
         """
         A model step. Used for activating the agents and collecting data.
         """
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         self.update_pheromone()
 
         # Check len of cities visited by an agent

examples/bank_reserves/bank_reserves/model.py

@@ -152,7 +152,7 @@ def __init__(
 
     def step(self):
         # tell all the agents in the model to run their step function
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/bank_reserves/batch_run.py

@@ -167,7 +167,7 @@ def step(self):
         # collect data
         self.datacollector.collect(self)
         # tell all the agents in the model to run their step function
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
 
     def run_model(self):
         for i in range(self.run_time):

examples/boid_flockers/boid_flockers/model.py

@@ -143,4 +143,4 @@ def make_agents(self):
             self.space.place_agent(boid, pos)
 
     def step(self):
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")

examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py

@@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10):
         self.datacollector.collect(self)
 
     def step(self):
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/boltzmann_wealth_model_experimental/model.py

@@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10):
         self.datacollector.collect(self)
 
     def step(self):
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py

@@ -38,7 +38,7 @@ def __init__(self, num_agents=7, num_nodes=10):
         self.datacollector.collect(self)
 
     def step(self):
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/caching_and_replay/model.py

@@ -93,7 +93,7 @@ def step(self):
         Run one step of the model.
         """
         self.happy = 0  # Reset counter of happy agents
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
 
         self.datacollector.collect(self)
 

examples/charts/charts/model.py

@@ -135,7 +135,7 @@ def __init__(
 
     def step(self):
         # tell all the agents in the model to run their step function
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/el_farol/el_farol/model.py

@@ -34,9 +34,9 @@ def __init__(
     def step(self):
         self.datacollector.collect(self)
         self.attendance = 0
-        self.agents.shuffle().do("update_attendance")
+        self.agents.shuffle_do("update_attendance")
         # We ensure that the length of history is constant
         # after each step.
         self.history.pop(0)
         self.history.append(self.attendance)
-        self.agents.shuffle().do("update_strategies")
+        self.agents.shuffle_do("update_strategies")

examples/epstein_civil_violence/epstein_civil_violence/model.py

@@ -105,7 +105,7 @@ def step(self):
         """
         Advance the model by one step and collect data.
         """
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
         self.iteration += 1

examples/forest_fire/Forest Fire Model.ipynb

@@ -149,7 +149,7 @@
     "        \"\"\"\n",
     "        Advance the model by one step.\n",
     "        \"\"\"\n",
-    "        self.agents.shuffle().do(\"step\")\n",
+    "        self.agents.shuffle_do(\"step\")\n",
     "        self.dc.collect(self)\n",
     "        # Halt if no more fire\n",
     "        if self.count_type(self, \"On Fire\") == 0:\n",

examples/forest_fire/forest_fire/model.py

@@ -46,7 +46,7 @@ def step(self):
         """
         Advance the model by one step.
         """
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/hotelling_law/hotelling_law/model.py

@@ -216,7 +216,7 @@ def step(self):
         # Collect data for the current step.
         self.datacollector.collect(self)
         # Activate all agents in random order
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # Update market dynamics based on the latest actions
         self.recalculate_market_share()
 

examples/schelling/model.py

@@ -91,7 +91,7 @@ def step(self):
         Run one step of the model.
         """
         self.happy = 0  # Reset counter of happy agents
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
 
         self.datacollector.collect(self)
 

examples/schelling_experimental/model.py

@@ -64,7 +64,7 @@ def step(self):
         Run one step of the model. If All agents are happy, halt the model.
         """
         self.happy = 0  # Reset counter of happy agents
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)
 

examples/shape_example/shape_example/model.py

@@ -36,4 +36,4 @@ def make_walker_agents(self):
                 unique_id += 1
 
     def step(self):
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")

examples/virus_on_network/virus_on_network/model.py

@@ -95,7 +95,7 @@ def resistant_susceptible_ratio(self):
             return math.inf
 
     def step(self):
-        self.agents.shuffle().do("step")
+        self.agents.shuffle_do("step")
         # collect data
         self.datacollector.collect(self)