Rename class agent_selector -> AgentSelector

docs/api/utils.md

@@ -165,7 +165,7 @@ Base class which is used by [CaptureStdoutWrapper](https://pettingzoo.farama.org
 
 The agent selector utility allows for easy cycling of agents in an AEC environment. At any time it can be reset or reinitialized with a new order, allowing for changes in turn order or handling a dynamic number of agents (see [Knights-Archers-Zombies](https://pettingzoo.farama.org/environments/butterfly/knights_archers_zombies/) for an example of spawning/killing agents)
 
-Note: while many PettingZoo environments use agent_selector to manage agent cycling internally, it is not intended to be used externally when interacting with an environment. Instead, use `for agent in env.agent_iter()` (see [AEC API Usage](https://pettingzoo.farama.org/api/aec/#usage)).
+Note: while many PettingZoo environments use AgentSelector to manage agent cycling internally, it is not intended to be used externally when interacting with an environment. Instead, use `for agent in env.agent_iter()` (see [AEC API Usage](https://pettingzoo.farama.org/api/aec/#usage)).
 
 ```{eval-rst}
 .. currentmodule:: pettingzoo.utils

docs/code_examples/aec_rps.py

@@ -5,7 +5,7 @@
 from gymnasium.spaces import Discrete
 
 from pettingzoo import AECEnv
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 
 ROCK = 0
 PAPER = 1
@@ -156,9 +156,9 @@ def reset(self, seed=None, options=None):
         self.observations = {agent: NONE for agent in self.agents}
         self.num_moves = 0
         """
-        Our agent_selector utility allows easy cyclic stepping through the agents list.
+        Our AgentSelector utility allows easy cyclic stepping through the agents list.
         """
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.next()
 
     def step(self, action):

docs/content/environment_creation.md

@@ -62,14 +62,14 @@ The utils directory also contain some classes which are only helpful for develop
 
 ### Agent selector
 
-The `agent_selector` class steps through agents in a cycle
+The `AgentSelector` class steps through agents in a cycle
 
 It can be used as follows to cycle through the list of agents:
 
 ```python
-from pettingzoo.utils import agent_selector
+from pettingzoo.utils import AgentSelector
 agents = ["agent_1", "agent_2", "agent_3"]
-selector = agent_selector(agents)
+selector = AgentSelector(agents)
 agent_selection = selector.reset()
 # agent_selection will be "agent_1"
 for i in range(100):

pettingzoo/butterfly/cooperative_pong/cooperative_pong.py

@@ -79,7 +79,7 @@
 from pettingzoo.butterfly.cooperative_pong.manual_policy import ManualPolicy
 from pettingzoo.butterfly.cooperative_pong.paddle import Paddle
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 FPS = 15
@@ -370,7 +370,7 @@ def __init__(self, **kwargs):
 
         self.agents = self.env.agents[:]
         self.possible_agents = self.agents[:]
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
         # spaces
         self.action_spaces = dict(zip(self.agents, self.env.action_space))

pettingzoo/butterfly/knights_archers_zombies/knights_archers_zombies.py

@@ -194,7 +194,7 @@
 from pettingzoo.butterfly.knights_archers_zombies.src.players import Archer, Knight
 from pettingzoo.butterfly.knights_archers_zombies.src.weapons import Arrow, Sword
 from pettingzoo.butterfly.knights_archers_zombies.src.zombie import Zombie
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 sys.dont_write_bytecode = True
@@ -370,7 +370,7 @@ def __init__(
         self.floor_patch3 = get_image(os.path.join("img", "patch3.png"))
         self.floor_patch4 = get_image(os.path.join("img", "patch4.png"))
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.reinit()
 
     def observation_space(self, agent):

pettingzoo/butterfly/pistonball/pistonball.py

@@ -89,7 +89,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.butterfly.pistonball.manual_policy import ManualPolicy
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 _image_library = {}
@@ -180,7 +180,7 @@ def __init__(
         self.agents = ["piston_" + str(r) for r in range(self.n_pistons)]
         self.possible_agents = self.agents[:]
         self.agent_name_mapping = dict(zip(self.agents, list(range(self.n_pistons))))
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
 
         self.observation_spaces = dict(
             zip(

pettingzoo/classic/chess/chess.py

@@ -116,7 +116,7 @@
 from pettingzoo import AECEnv
 from pettingzoo.classic.chess import chess_utils
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def env(**kwargs):
@@ -144,7 +144,7 @@ def __init__(self, render_mode: str | None = None, screen_height: int | None = 8
         self.agents = [f"player_{i}" for i in range(2)]
         self.possible_agents = self.agents[:]
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
 
         self.action_spaces = {name: spaces.Discrete(8 * 8 * 73) for name in self.agents}
         self.observation_spaces = {
@@ -238,7 +238,7 @@ def reset(self, seed=None, options=None):
 
         self.board = chess.Board()
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
         self.rewards = {name: 0 for name in self.agents}

pettingzoo/classic/connect_four/connect_four.py

@@ -69,7 +69,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def get_image(path):
@@ -220,7 +220,7 @@ def reset(self, seed=None, options=None):
         self.truncations = {i: False for i in self.agents}
         self.infos = {i: {} for i in self.agents}
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
 
         self.agent_selection = self._agent_selector.reset()
 

pettingzoo/classic/go/go.py

@@ -119,7 +119,7 @@
 from pettingzoo import AECEnv
 from pettingzoo.classic.go import coords, go_base
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def get_image(path):
@@ -191,7 +191,7 @@ def __init__(
             [spaces.Discrete(self._N * self._N + 1) for _ in range(self.num_agents)]
         )
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
 
         self.board_history = np.zeros((self._N, self._N, 16), dtype=bool)
 

pettingzoo/classic/hanabi/hanabi.py

@@ -171,7 +171,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def env(**kwargs):
@@ -441,7 +441,7 @@ def reset(self, seed=None, options=None):
         self.truncations = self.hanabi_env.truncations
         self.infos = self.hanabi_env.infos
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
     def step(

pettingzoo/classic/rps/rps.py

@@ -121,7 +121,7 @@
 from gymnasium.utils import EzPickle
 
 from pettingzoo import AECEnv
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 
@@ -419,7 +419,7 @@ def close(self):
 
     def reset(self, seed=None, options=None):
         self.agents = self.possible_agents[:]
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.next()
         self.rewards = {agent: 0 for agent in self.agents}
         self._cumulative_rewards = {agent: 0 for agent in self.agents}

pettingzoo/classic/tictactoe/tictactoe.py

@@ -80,7 +80,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.classic.tictactoe.board import Board
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 
 
 def get_image(path):
@@ -143,7 +143,7 @@ def __init__(
         self.truncations = {i: False for i in self.agents}
         self.infos = {i: {"legal_moves": list(range(0, 9))} for i in self.agents}
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
         self.render_mode = render_mode

pettingzoo/mpe/_mpe_utils/simple_env.py

@@ -9,7 +9,7 @@
 from pettingzoo import AECEnv
 from pettingzoo.mpe._mpe_utils.core import Agent
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
 
@@ -75,7 +75,7 @@ def __init__(
             agent.name: idx for idx, agent in enumerate(self.world.agents)
         }
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
 
         # set spaces
         self.action_spaces = dict()

pettingzoo/sisl/multiwalker/multiwalker.py

@@ -125,7 +125,7 @@
 from pettingzoo import AECEnv
 from pettingzoo.sisl.multiwalker.multiwalker_base import FPS
 from pettingzoo.sisl.multiwalker.multiwalker_base import MultiWalkerEnv as _env
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 
@@ -156,7 +156,7 @@ def __init__(self, *args, **kwargs):
         self.agent_name_mapping = dict(
             zip(self.agents, list(range(self.env.n_walkers)))
         )
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         # spaces
         self.action_spaces = dict(zip(self.agents, self.env.action_space))
         self.observation_spaces = dict(zip(self.agents, self.env.observation_space))

pettingzoo/sisl/pursuit/pursuit.py

@@ -85,7 +85,7 @@
 from pettingzoo import AECEnv
 from pettingzoo.sisl.pursuit.manual_policy import ManualPolicy
 from pettingzoo.sisl.pursuit.pursuit_base import Pursuit as _env
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 __all__ = ["ManualPolicy", "env", "parallel_env", "raw_env"]
@@ -118,7 +118,7 @@ def __init__(self, *args, **kwargs):
         self.agents = ["pursuer_" + str(a) for a in range(self.env.num_agents)]
         self.possible_agents = self.agents[:]
         self.agent_name_mapping = dict(zip(self.agents, list(range(self.num_agents))))
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         # spaces
         self.n_act_agents = self.env.act_dims[0]
         self.action_spaces = dict(zip(self.agents, self.env.action_space))

pettingzoo/sisl/waterworld/waterworld.py

@@ -141,7 +141,7 @@
 from pettingzoo import AECEnv
 from pettingzoo.sisl.waterworld.waterworld_base import FPS
 from pettingzoo.sisl.waterworld.waterworld_base import WaterworldBase as _env
-from pettingzoo.utils import agent_selector, wrappers
+from pettingzoo.utils import AgentSelector, wrappers
 from pettingzoo.utils.conversions import parallel_wrapper_fn
 
 
@@ -171,7 +171,7 @@ def __init__(self, *args, **kwargs):
         self.agents = ["pursuer_" + str(r) for r in range(self.env.num_agents)]
         self.possible_agents = self.agents[:]
         self.agent_name_mapping = dict(zip(self.agents, list(range(self.num_agents))))
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
 
         # spaces
         self.action_spaces = dict(zip(self.agents, self.env.action_space))

pettingzoo/test/example_envs/generated_agents_env_action_mask_info_v0.py

@@ -5,7 +5,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def env():
@@ -105,7 +105,7 @@ def reset(self, seed=None, options=None):
         for i in range(5):
             self.add_agent(self.np_random.choice(self.types))
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
         # seed observation and action spaces

pettingzoo/test/example_envs/generated_agents_env_action_mask_obs_v0.py

@@ -5,7 +5,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def env():
@@ -107,7 +107,7 @@ def reset(self, seed=None, options=None):
         for i in range(5):
             self.add_agent(self.np_random.choice(self.types))
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
         # seed observation and action spaces

pettingzoo/test/example_envs/generated_agents_env_cust_agentid_v0.py

@@ -5,7 +5,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def env():
@@ -99,7 +99,7 @@ def reset(self, seed=None, options=None):
         for i in range(5):
             self.add_agent(self.np_random.choice(self.types))
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
         # seed observation and action spaces

pettingzoo/test/example_envs/generated_agents_env_v0.py

@@ -5,7 +5,7 @@
 
 from pettingzoo import AECEnv
 from pettingzoo.utils import wrappers
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 
 
 def env():
@@ -99,7 +99,7 @@ def reset(self, seed=None, options=None):
         for i in range(5):
             self.add_agent(self.np_random.choice(self.types))
 
-        self._agent_selector = agent_selector(self.agents)
+        self._agent_selector = AgentSelector(self.agents)
         self.agent_selection = self._agent_selector.reset()
 
         # seed observation and action spaces

pettingzoo/utils/__init__.py

@@ -1,4 +1,4 @@
-from pettingzoo.utils.agent_selector import agent_selector
+from pettingzoo.utils.agent_selector import AgentSelector
 from pettingzoo.utils.average_total_reward import average_total_reward
 from pettingzoo.utils.conversions import (
     aec_to_parallel,