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from pathlib import Path
import gym
import multi_agent_ale_py
import numpy as np
from gym import spaces
from gym.utils import EzPickle, seeding
from pettingzoo import AECEnv
from pettingzoo.utils import agent_selector, wrappers
from pettingzoo.utils.conversions import parallel_to_aec_wrapper, parallel_wrapper_fn
from pettingzoo.utils.env import ParallelEnv
def base_env_wrapper_fn(raw_env_fn):
def env_fn(**kwargs):
env = raw_env_fn(**kwargs)
env = wrappers.AssertOutOfBoundsWrapper(env)
env = wrappers.OrderEnforcingWrapper(env)
return env
return env_fn
def BaseAtariEnv(**kwargs):
return parallel_to_aec_wrapper(ParallelAtariEnv(**kwargs))
class ParallelAtariEnv(ParallelEnv, EzPickle):
def __init__(
self,
game,
num_players,
mode_num=None,
seed=None,
obs_type='rgb_image',
full_action_space=True,
env_name=None,
max_cycles=100000,
auto_rom_install_path=None):
"""Frameskip should be either a tuple (indicating a random range to
choose from, with the top value exclude), or an int."""
EzPickle.__init__(
self,
game,
num_players,
mode_num,
seed,
obs_type,
full_action_space,
env_name,
max_cycles,
auto_rom_install_path,
)
assert obs_type in ('ram', 'rgb_image', "grayscale_image"), "obs_type must either be 'ram' or 'rgb_image' or 'grayscale_image'"
self.obs_type = obs_type
self.full_action_space = full_action_space
self.num_players = num_players
self.max_cycles = max_cycles
if env_name is None:
env_name = "custom_" + game
self.metadata = {'render.modes': ['human', 'rgb_array'],
'name': env_name,
'video.frames_per_second': 60}
multi_agent_ale_py.ALEInterface.setLoggerMode("error")
self.ale = multi_agent_ale_py.ALEInterface()
self.ale.setFloat(b'repeat_action_probability', 0.)
if auto_rom_install_path is None:
start = Path(multi_agent_ale_py.__file__).parent
else:
start = Path(auto_rom_install_path).resolve()
# start looking in local directory
final = start / f"{game}.bin"
if not final.exists():
# if that doesn't work, look in 'roms'
final = start / "roms" / f"{game}.bin"
if not final.exists():
# use old AutoROM install path as backup
final = start / "ROM" / game / f"{game}.bin"
if not final.exists():
raise OSError(f"rom {game} is not installed. Please install roms using AutoROM tool (https://github.com/Farama-Foundation/AutoROM) "
"or specify and double-check the path to your Atari rom using the `rom_path` argument.")
self.rom_path = str(final)
self.ale.loadROM(self.rom_path)
all_modes = self.ale.getAvailableModes(num_players)
if mode_num is None:
mode = all_modes[0]
else:
mode = mode_num
assert mode in all_modes, f"mode_num parameter is wrong. Mode {mode_num} selected, only {list(all_modes)} modes are supported"
self.mode = mode
self.ale.setMode(self.mode)
assert num_players == self.ale.numPlayersActive()
if full_action_space:
action_size = 18
action_mapping = np.arange(action_size)
else:
action_mapping = self.ale.getMinimalActionSet()
action_size = len(action_mapping)
self.action_mapping = action_mapping
if obs_type == 'ram':
observation_space = gym.spaces.Box(low=0, high=255, dtype=np.uint8, shape=(128,))
else:
(screen_width, screen_height) = self.ale.getScreenDims()
if obs_type == 'rgb_image':
num_channels = 3
elif obs_type == 'grayscale_image':
num_channels = 1
observation_space = spaces.Box(low=0, high=255, shape=(screen_height, screen_width, num_channels), dtype=np.uint8)
player_names = ["first", "second", "third", "fourth"]
self.agents = [f"{player_names[n]}_0" for n in range(num_players)]
self.possible_agents = self.agents[:]
self.action_spaces = {agent: gym.spaces.Discrete(action_size) for agent in self.possible_agents}
self.observation_spaces = {agent: observation_space for agent in self.possible_agents}
self._screen = None
self.seed(seed)
def seed(self, seed=None):
if seed is None:
seed = seeding.create_seed(seed, max_bytes=4)
self.ale.setInt(b"random_seed", seed)
self.ale.loadROM(self.rom_path)
self.ale.setMode(self.mode)
def reset(self):
self.ale.reset_game()
self.agents = self.possible_agents[:]
self.dones = {agent: False for agent in self.possible_agents}
self.frame = 0
obs = self._observe()
return {agent: obs for agent in self.agents}
def observation_space(self, agent):
return self.observation_spaces[agent]
def action_space(self, agent):
return self.action_spaces[agent]
def _observe(self):
if self.obs_type == 'ram':
bytes = self.ale.getRAM()
return bytes
elif self.obs_type == 'rgb_image':
return self.ale.getScreenRGB()
elif self.obs_type == 'grayscale_image':
return self.ale.getScreenGrayscale()
def step(self, action_dict):
actions = np.zeros(self.max_num_agents, dtype=np.int32)
for i, agent in enumerate(self.possible_agents):
if agent in action_dict:
actions[i] = action_dict[agent]
actions = self.action_mapping[actions]
rewards = self.ale.act(actions)
self.frame += 1
if self.ale.game_over() or self.frame >= self.max_cycles:
dones = {agent: True for agent in self.agents}
else:
lives = self.ale.allLives()
# an inactive agent in ale gets a -1 life.
dones = {agent: int(life) < 0 for agent, life in zip(self.possible_agents, lives) if agent in self.agents}
obs = self._observe()
observations = {agent: obs for agent in self.agents}
rewards = {agent: rew for agent, rew in zip(self.possible_agents, rewards) if agent in self.agents}
infos = {agent: {} for agent in self.possible_agents if agent in self.agents}
self.agents = [agent for agent in self.agents if not dones[agent]]
return observations, rewards, dones, infos
def render(self, mode="human"):
(screen_width, screen_height) = self.ale.getScreenDims()
image = self.ale.getScreenRGB()
if mode == "human":
import os
import pygame
zoom_factor = 4
if self._screen is None:
pygame.init()
self._screen = pygame.display.set_mode((screen_width * zoom_factor, screen_height * zoom_factor))
myImage = pygame.image.fromstring(image.tobytes(), image.shape[:2][::-1], "RGB")
myImage = pygame.transform.scale(myImage, (screen_width * zoom_factor, screen_height * zoom_factor))
self._screen.blit(myImage, (0, 0))
pygame.display.flip()
elif mode == "rgb_array":
return image
else:
raise ValueError("bad value for render mode")
def close(self):
if self._screen is not None:
import pygame
pygame.quit()
self._screen = None
def clone_state(self):
"""Clone emulator state w/o system state. Restoring this state will
*not* give an identical environment. For complete cloning and restoring
of the full state, see `{clone,restore}_full_state()`."""
state_ref = self.ale.cloneState()
state = self.ale.encodeState(state_ref)
self.ale.deleteState(state_ref)
return state
def restore_state(self, state):
"""Restore emulator state w/o system state."""
state_ref = self.ale.decodeState(state)
self.ale.restoreState(state_ref)
self.ale.deleteState(state_ref)
def clone_full_state(self):
"""Clone emulator state w/ system state including pseudorandomness.
Restoring this state will give an identical environment."""
state_ref = self.ale.cloneSystemState()
state = self.ale.encodeState(state_ref)
self.ale.deleteState(state_ref)
return state
def restore_full_state(self, state):
"""Restore emulator state w/ system state including pseudorandomness."""
state_ref = self.ale.decodeState(state)
self.ale.restoreSystemState(state_ref)
self.ale.deleteState(state_ref)
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