Github Action: Lint Notebooks

reference_notebooks/start-gui-server.ipynb

@@ -2,11 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "4f80ce0b-c291-4d4a-aaa9-6a62f5cb61bd",
-   "metadata": {
-    "tags": []
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import subprocess\n",
@@ -28,11 +26,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "7280cecd-7c37-414a-9f36-78b2e7eeb967",
-   "metadata": {
-    "tags": []
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "url = \"http://metadata.google.internal/computeMetadata/v1/project/project-id\"\n",
@@ -43,14 +39,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "cb07eb82-122b-40ad-aa51-631d4650a8ee",
-   "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    },
-    "tags": []
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def wait_for_extended_operation(\n",
@@ -130,32 +121,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "id": "5bc64703-823c-4b51-9e40-a3c2ed09998d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "// Send data\n",
-       "\n",
-       "fetch( 'https://api64.ipify.org/')\n",
-       "  .then(\n",
-       "    response => response.text()\n",
-       "  ).then(\n",
-       "    text => element.append(\"ip='\"+text+\"'\")\n",
-       "  );\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Javascript object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "metadata": {},
+   "outputs": [],
    "source": [
     "%%javascript\n",
     "// Send data\n",
@@ -170,11 +139,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "2f528cb1-7c20-4daa-9dd6-726eccecf566",
-   "metadata": {
-    "tags": []
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "ip='128.231.234.47'"
@@ -208,55 +175,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "id": "7adfc414-112a-4d32-8fb2-4ff2c6fabd0d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "61e65e7e214047e8ad514008110a96c0",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Dropdown(description='GUI:', options=('bandage', 'pymol', 'molbobity'), value='bandage')"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7d0f5644e07b4ecfaf4ce51ad6528c1f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Button(description='Start Gui', style=ButtonStyle())"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "eae09f2d13cd41e9a04bd301d2b80435",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "metadata": {},
+   "outputs": [],
    "source": [
     "\n",
     "w = widgets.Dropdown(\n",
@@ -311,40 +233,14 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "23702d79-3dee-45e4-9401-c6614c66fce8",
-   "metadata": {
-    "tags": []
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "delete_instance(zone='us-east4-a',machine_name=server_name)"
    ]
   }
  ],
- "metadata": {
-  "environment": {
-   "kernel": "conda-base-py",
-   "name": "workbench-notebooks.m125",
-   "type": "gcloud",
-   "uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/workbench-notebooks:m125"
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel) (Local)",
-   "language": "python",
-   "name": "conda-base-py"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.15"
-  }
- },
+ "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 5
 }