Model: Replace get_agents_of_type method with agents_by_type property

benchmarks/WolfSheep/wolf_sheep.py

@@ -227,8 +227,8 @@ def __init__(
             patch.move_to(cell)
 
     def step(self):
-        self.get_agents_of_type(Sheep).shuffle(inplace=True).do("step")
-        self.get_agents_of_type(Wolf).shuffle(inplace=True).do("step")
+        self.agents_by_type[Sheep].shuffle(inplace=True).do("step")
+        self.agents_by_type[Wolf].shuffle(inplace=True).do("step")
 
 
 if __name__ == "__main__":

mesa/experimental/devs/examples/wolf_sheep.py

@@ -231,8 +231,8 @@ def __init__(
             self.grid.place_agent(patch, pos)
 
     def step(self):
-        self.get_agents_of_type(Sheep).shuffle(inplace=True).do("step")
-        self.get_agents_of_type(Wolf).shuffle(inplace=True).do("step")
+        self.agents_by_type[Sheep].shuffle(inplace=True).do("step")
+        self.agents_by_type[Wolf].shuffle(inplace=True).do("step")
 
 
 if __name__ == "__main__":

mesa/model.py

@@ -33,11 +33,13 @@
     Properties:
         agents: An AgentSet containing all agents in the model
         agent_types: A list of different agent types present in the model.
+        agents_by_type: A dictionary where the keys are agent types and the values are the corresponding AgentSets.
         steps: An integer representing the number of steps the model has taken.
                It increases automatically at the start of each step() call.
 
     Methods:
         get_agents_of_type: Returns an AgentSet of agents of the specified type.
+            Deprecated: Use agents_by_type[agenttype] instead.
         run_model: Runs the model's simulation until a defined end condition is reached.
         step: Executes a single step of the model's simulation process.
         next_id: Generates and returns the next unique identifier for an agent.
@@ -106,24 +108,26 @@
         """Return a list of all unique agent types registered with the model."""
         return list(self._agents_by_type.keys())
 
-    def get_agents_of_type(self, agenttype: type[Agent]) -> AgentSet:
-        """Retrieves an AgentSet containing all agents of the specified type.
-
-        Args:
-            agenttype: The type of agent to retrieve.
-
-        Raises:
-            KeyError: If agenttype does not exist
-
+    @property
+    def agents_by_type(self) -> dict[type[Agent], AgentSet]:
+        """A dictionary where the keys are agent types and the values are the corresponding AgentSets."""
+        return self._agents_by_type
 
-        """
-        return self._agents_by_type[agenttype]
+    def get_agents_of_type(self, agenttype: type[Agent]) -> AgentSet:
+        """Deprecated: Retrieves an AgentSet containing all agents of the specified type."""
+        warnings.warn(
+            f"Model.get_agents_of_type() is deprecated, please replace get_agents_of_type({agenttype})"
+            f"with the property agents_by_type[{agenttype}].",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        return self.agents_by_type[agenttype]
 
     def _setup_agent_registration(self):
         """helper method to initialize the agent registration datastructures"""
         self._agents = {}  # the hard references to all agents in the model
         self._agents_by_type: dict[
-            type, AgentSet
+            type[Agent], AgentSet
         ] = {}  # a dict with an agentset for each class of agents
         self._all_agents = AgentSet([], self)  # an agenset with all agents
 

tests/test_time.py

@@ -320,7 +320,7 @@ def test_random_activation_counts(self):
         agent_types = model.agent_types
         for agent_type in agent_types:
             assert model.schedule.get_type_count(agent_type) == len(
-                model.get_agents_of_type(agent_type)
+                model.agents_by_type[agent_type]
             )
 
     # def test_add_non_unique_ids(self):