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81 lines
1.9 KiB
Plaintext
81 lines
1.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "7e37429a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import ale_py\n",
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"import gymnasium as gym\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "85ff0eb4",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"A.L.E: Arcade Learning Environment (version 0.11.2+ecc1138)\n",
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"[Powered by Stella]\n"
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]
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},
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{
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"ename": "",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31mLe noyau s’est bloqué lors de l’exécution du code dans une cellule active ou une cellule précédente. \n",
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"\u001b[1;31mVeuillez vérifier le code dans la ou les cellules pour identifier une cause possible de l’échec. \n",
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"\u001b[1;31mCliquez <a href='https://aka.ms/vscodeJupyterKernelCrash'>ici</a> pour plus d’informations. \n",
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"\u001b[1;31mPour plus d’informations, consultez Jupyter <a href='command:jupyter.viewOutput'>log</a>."
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]
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}
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],
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"source": [
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"gym.register_envs(ale_py)\n",
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"\n",
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"env = gym.make(\"ALE/Tennis-v5\", render_mode=\"human\")\n",
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"obs, info = env.reset()\n",
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"obs, reward, terminated, truncated, info = env.step(env.action_space.sample())\n",
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"env.close()\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "89633751",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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