{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from glob import glob\n",
"from os.path import join as pjoin\n",
"\n",
"import gym\n",
"import textworld.gym\n",
"from textworld import EnvInfos\n",
"\n",
"GAMES_PATH = \"sample_games\" # This assumes `sample_games.zip` was first unzipped.\n",
"gamefiles = glob(pjoin(GAMES_PATH, \"*.ulx\"))\n",
"print(\"Found {} games.\".format(len(gamefiles)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Playing a game "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"gamefile = gamefiles[0] # Pick a game.\n",
"\n",
"requested_infos = EnvInfos(description=True, inventory=True, extras=[\"recipe\", \"walkthrough\"])\n",
"env_id = textworld.gym.register_games([gamefile], requested_infos)\n",
"\n",
"agent = textworld.agents.HumanAgent()\n",
"\n",
"env = gym.make(env_id)\n",
"obs, infos = env.reset()\n",
"\n",
"# Since we asked for more infos, let's print them.\n",
"print(\"Walkthrough:\", \". \".join(infos[\"extra.walkthrough\"]))\n",
"print(infos[\"extra.recipe\"])\n",
"\n",
"env.render() # Print the initial observation.\n",
"\n",
"score = 0\n",
"done = False\n",
"while not done:\n",
" command = input('> ')\n",
" ob, score, done, infos = env.step(command)\n",
" env.render()\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Visualizing a `TextWorld.Game` object"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import textworld\n",
"gamefile = gamefiles[0] # Pick a game.\n",
"game = textworld.Game.load(gamefile.replace(\".ulx\", \".json\"))\n",
"textworld.render.visualize(game)"
]
}
],
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"file_extension": ".py",
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