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test_env.py
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test_env.py
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#!/usr/bin/env python3
import time
import argparse
import numpy as np
import gym
import gym_minigrid
from gym_minigrid.wrappers import *
from gym_minigrid.window import Window
import envs
def redraw(img):
if not args.agent_view:
img = env.render('rgb_array', tile_size=args.tile_size)
window.show_img(img['image']*10)
def reset():
obs = env.reset()
if hasattr(env, 'mission'):
print('Mission: %s' % env.mission)
window.set_caption(env.mission)
redraw(obs)
def step(action):
obs, reward, done, info = env.step(action)
print('step=%s, reward=%.2f' % (env.step_count, reward))
if done:
print('done!')
reset()
else:
redraw(obs)
def key_handler(event):
print('pressed', event.key)
if event.key == 'escape':
window.close()
return
if event.key == 'backspace':
reset()
return
if event.key == 'left':
step(env.actions.left)
return
if event.key == 'right':
step(env.actions.right)
return
if event.key == 'up':
step(env.actions.forward)
return
# Spacebar
if event.key == ' ':
step(env.actions.toggle)
return
if event.key == 'pageup':
step(env.actions.pickup)
return
if event.key == 'pagedown':
step(env.actions.drop)
return
if event.key == 'enter':
step(env.actions.done)
return
parser = argparse.ArgumentParser()
parser.add_argument(
"--env",
help="gym environment to load",
default='MiniGrid-MultiRoom-N6-v0'
)
parser.add_argument(
"--seed",
type=int,
help="random seed to generate the environment with",
default=123
)
parser.add_argument(
"--tile_size",
type=int,
help="size at which to render tiles",
default=32
)
parser.add_argument(
'--agent_view',
default=True,
help="draw the agent sees (partially observable view)",
action='store_true'
)
args = parser.parse_args()
env = gym.make(args.env)
if args.seed != -1:
env.seed(args.seed)
# if args.agent_view:
# env = RGBImgPartialObsWrapper(env)
# env = ImgObsWrapper(env)
window = Window('gym_minigrid - ' + args.env)
window.reg_key_handler(key_handler)
reset()
# Blocking event loop
window.show(block=True)