Address duplicate position warning

Author: rht

examples/boid_flockers/boid_flockers/model.py

@@ -28,7 +28,6 @@ def __init__(
         self,
         unique_id,
         model,
-        pos,
         speed,
         direction,
         vision,
@@ -42,7 +41,6 @@ def __init__(
 
         Args:
             unique_id: Unique agent identifier.
-            pos: Starting position
             speed: Distance to move per step.
             direction: numpy vector for the Boid's direction of movement.
             vision: Radius to look around for nearby Boids.
@@ -52,7 +50,6 @@ def __init__(
             match: the relative importance of matching neighbors' headings
         """
         super().__init__(unique_id, model)
-        self.pos = np.array(pos)
         self.speed = speed
         self.direction = direction
         self.vision = vision
@@ -140,7 +137,6 @@ def make_agents(self):
             boid = Boid(
                 unique_id=i,
                 model=self,
-                pos=pos,
                 speed=self.speed,
                 direction=direction,
                 vision=self.vision,

examples/boltzmann_wealth_model/app.py

@@ -71,9 +71,9 @@
             cell_content, (x, y) = cell
             agent_count = len(cell_content)
             selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)]
-            df_grid.loc[
-                selected_row.index, "agent_count"
-            ] = agent_count  # random.choice([1,2])
+            df_grid.loc[selected_row.index, "agent_count"] = (
+                agent_count  # random.choice([1,2])
+            )
 
         df_gini = pd.concat(
             [

examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/server.py

@@ -12,9 +12,11 @@ def network_portrayal(G):
             "id": node_id,
             "size": 3 if agents else 1,
             "color": "#CC0000" if not agents or agents[0].wealth == 0 else "#007959",
-            "label": None
-            if not agents
-            else f"Agent:{agents[0].unique_id} Wealth:{agents[0].wealth}",
+            "label": (
+                None
+                if not agents
+                else f"Agent:{agents[0].unique_id} Wealth:{agents[0].wealth}"
+            ),
         }
         for (node_id, agents) in G.nodes.data("agent")
     ]

examples/color_patches/color_patches/server.py

@@ -2,6 +2,7 @@
 handles the definition of the canvas parameters and
 the drawing of the model representation on the canvas
 """
+
 # import webbrowser
 
 import mesa

examples/conways_game_of_life/app.py

@@ -52,9 +52,9 @@
         for contents, (x, y) in model.grid.coord_iter():
             # print('x:',x,'y:',y, 'state:',contents)
             selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)]
-            df_grid.loc[
-                selected_row.index, "state"
-            ] = contents.state  # random.choice([1,2])
+            df_grid.loc[selected_row.index, "state"] = (
+                contents.state
+            )  # random.choice([1,2])
 
         heatmap = (
             alt.Chart(df_grid)

examples/forest_fire/forest_fire/agent.py

@@ -14,15 +14,14 @@ class TreeCell(mesa.Agent):
     practice to give one to each agent anyway.
     """
 
-    def __init__(self, pos, model):
+    def __init__(self, unique_id, model):
         """
         Create a new tree.
         Args:
-            pos: The tree's coordinates on the grid.
+            unique_id: Unique identifier for the agent.
             model: standard model reference for agent.
         """
-        super().__init__(pos, model)
-        self.pos = pos
+        super().__init__(unique_id, model)
         self.condition = "Fine"
 
     def step(self):

examples/forest_fire/forest_fire/model.py

@@ -33,7 +33,7 @@ def __init__(self, width=100, height=100, density=0.65):
         for contents, (x, y) in self.grid.coord_iter():
             if self.random.random() < density:
                 # Create a tree
-                new_tree = TreeCell((x, y), self)
+                new_tree = TreeCell(self.next_id(), self)
                 # Set all trees in the first column on fire.
                 if x == 0:
                     new_tree.condition = "On Fire"

examples/pd_grid/pd_grid/agent.py

@@ -4,18 +4,17 @@
 class PDAgent(mesa.Agent):
     """Agent member of the iterated, spatial prisoner's dilemma model."""
 
-    def __init__(self, pos, model, starting_move=None):
+    def __init__(self, unique_id, model, starting_move=None):
         """
         Create a new Prisoner's Dilemma agent.
 
         Args:
-            pos: (x, y) tuple of the agent's position.
+            unique_id: Unique identifier for the agent.
             model: model instance
             starting_move: If provided, determines the agent's initial state:
                            C(ooperating) or D(efecting). Otherwise, random.
         """
-        super().__init__(pos, model)
-        self.pos = pos
+        super().__init__(unique_id, model)
         self.score = 0
         if starting_move:
             self.move = starting_move

examples/pd_grid/pd_grid/model.py

@@ -37,7 +37,7 @@ def __init__(
         # Create agents
         for x in range(width):
             for y in range(height):
-                agent = PDAgent((x, y), self)
+                agent = PDAgent(self.next_id(), self)
                 self.grid.place_agent(agent, (x, y))
                 self.schedule.add(agent)
 

examples/schelling_experimental/model.py

@@ -6,17 +6,15 @@ class SchellingAgent(mesa.Agent):
     Schelling segregation agent
     """
 
-    def __init__(self, pos, model, agent_type):
+    def __init__(self, unique_id, model, agent_type):
         """
         Create a new Schelling agent.
 
         Args:
            unique_id: Unique identifier for the agent.
-           pos: Agent initial location.
            agent_type: Indicator for the agent's type (minority=1, majority=0)
         """
-        super().__init__(pos, model)
-        self.pos = pos
+        super().__init__(unique_id, model)
         self.type = agent_type
 
     def step(self):
@@ -57,7 +55,7 @@ def __init__(self, width=20, height=20, density=0.8, minority_pc=0.2, homophily=
         for _, pos in self.grid.coord_iter():
             if self.random.random() < density:
                 agent_type = 1 if self.random.random() < minority_pc else 0
-                agent = SchellingAgent(pos, self, agent_type)
+                agent = SchellingAgent(self.next_id(), self, agent_type)
                 self.grid.place_agent(agent, pos)
 
         self.datacollector.collect(self)