Run PR check for guided notebooks

.github/resources/minio_remote_config_cell.json

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+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@ray.remote\n",
+    "def get_minio_run_config():\n",
+    "    import s3fs\n",
+    "    import pyarrow\n",
+    "    s3_fs = s3fs.S3FileSystem(\n",
+    "        key = \"minio\",\n",
+    "        secret = \"minio123\",\n",
+    "        endpoint_url = \"http://minio-service.default.svc.cluster.local:9000\"\n",
+    "    )\n",
+    "    custom_fs = pyarrow.fs.PyFileSystem(pyarrow.fs.FSSpecHandler(s3_fs))\n",
+    "    run_config = ray.train.RunConfig(storage_path='training', storage_filesystem=custom_fs)\n",
+    "    return run_config"
+   ]
+  }

.github/resources/wait_for_job_cell.json

@@ -0,0 +1,20 @@
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from time import sleep\n",
+    "\n",
+    "finished = False\n",
+    "while not finished:\n",
+    "    sleep(5)\n",
+    "    status = client.get_job_status(submission_id)\n",
+    "    finished = (status == \"SUCCEEDED\" or status == \"FAILED\" or status == \"STOPPED\")\n",
+    "    print(status)\n",
+    "print(\"Job status \" + status)\n",
+    "print(\"Logs: \")\n",
+    "print(client.get_job_logs(submission_id))\n",
+    "assert status == \"SUCCEEDED\", \"Job failed or was stopped!\""
+   ]
+  }