├── README.md
├── ipynb-viewer
    ├── .gitignore
    ├── README.md
    ├── package.json
    ├── public
    │   ├── favicon.ico
    │   ├── index.html
    │   ├── logo192.png
    │   ├── logo512.png
    │   ├── manifest.json
    │   └── robots.txt
    ├── src
    │   ├── App.css
    │   ├── App.js
    │   ├── App.test.js
    │   ├── BenchmarkNotebook.ipynb
    │   ├── BenchmarkNotebook.json
    │   ├── JupViewer.js
    │   ├── index.css
    │   ├── index.js
    │   ├── logo.svg
    │   └── serviceWorker.js
    └── yarn.lock
└── static
    ├── JupAsBlogDesk.png
    ├── JupDarkMobile.png
    ├── LightThemeMobile.png
    ├── SupportCoverImages.png
    ├── desktop_notebook.png
    ├── markdown_notebook.png
    └── notebook_mobile.png


/README.md:
--------------------------------------------------------------------------------
  1 | # React-Jupyter-Viewer
  2 | 
  3 | ## IMPORTANT!!!!
  4 | I'm looking for contributors. I noticed that quite a lot of developers find this tool useful and at the same time I feel guilty that I cannot devote enough time to this project due to personal committments. Please reachout in case anyone wants to contribute!
  5 | 
  6 | Join the following Slack Workspace for any queries:
  7 | 
  8 | https://join.slack.com/t/reactjupytern-0nc7370/shared_invite/zt-140lhgtlg-HaVJNl5OTEdeK1ZomArVZA
  9 | 
 10 | 
 11 | 
 12 | ### Use jupyter notebooks as a blog
 13 | The only reason why I am creating this component is to be able to publish my .ipynb notebooks on my GitHub pages as blog post. I have too many notebooks lying around with my programming notes.  I'm too lazy to boot a ipython kernel to view one of my notebooks. Hence, this component.
 14 | 
 15 | I like the default notebook viewer provided by github but there are a few features that would make it more usable for me, which are mostly these: **downloading it as a PDF, dark mode, mobile-enabled view and ability to publish my notebooks as blogs**
 16 | 
 17 | Drop me a message if anyone wanna contribute.
 18 | 
 19 | ![alt text](/static/SupportCoverImages.png "Desktop")
 20 | 
 21 | (cover image src: https://notionpress.com/blog/wp-content/uploads/2018/06/Cover-design.png)
 22 | 
 23 | ### Feature Roadmap
 24 | 
 25 | * [X] Load from local file
 26 | * [X] Load from URL
 27 | * [X] Code blocks
 28 | * [X] Render markdown blocks
 29 | * [X] Render image blocks
 30 | * [X] Render Error blocks
 31 | * [X] Add tags to distinguish outputs
 32 | * [X] Cell block numbering
 33 | * [X] Header Tab (Showing name of notebook and date etc.)
 34 | * [X] Hide code execution number (toggle)
 35 | * [X] Theme Toggle
 36 | * [X] Markdown Dark Theme
 37 | * [X] Resolve Relative Markdown sources for images
 38 | * [ ] Split as A4 size pages
 39 | * [ ] Side-by-side view
 40 | * [ ] Download notebook as pdf (will have to enable wordwrap while downloading it as pdf)
 41 | * [ ] text/html code block parser
 42 | * [ ] Markdown based index
 43 | 
 44 | ----
 45 | 
 46 | #### Desirable Props
 47 | 
 48 | prop     | priority | description
 49 | ---------|----------|-------------
 50 | file     | Critical | Load a file from storage  
 51 | url      | Critical | Load a file from storage
 52 | theme    | good to have| Change from dark to light
 53 | blog title| Critical | Title for the blog.
 54 | blog cover|good to have| An option to put in cover pic for your blog
 55 | 
 56 | ---
 57 | 
 58 | ### Usage
 59 | Note that the notebook URL must be the raw_notebook url on github. Click on the 'raw' button in github notebook preview to get the raw source.
 60 | 
 61 | ```javascript
 62 | import React from 'react';
 63 | import './App.css';
 64 | import JupViewer from './JupViewer'
 65 | 
 66 | const ipynb = require('./BenchmarkNotebook.ipynb')
 67 | 
 68 | class App extends React.Component {
 69 |   render() {
 70 |     return (
 71 |       <div className="App">
 72 |         <JupViewer
 73 |           title="Jupyter as a Blog!"
 74 |           subtitle="I've always wanted to publish my jupyter notebooks as blogs. Finally I can."
 75 |           coverImg="https://notionpress.com/blog/wp-content/uploads/2018/06/Cover-design.png"
 76 |           // file={ipynb} 
 77 |           file="https://raw.githubusercontent.com/jakevdp/PythonDataScienceHandbook/master/notebooks/00.00-Preface.ipynb"
 78 |         />
 79 |       </div>
 80 |     )
 81 |   }
 82 | }
 83 | 
 84 | export default App;
 85 | 
 86 | ```
 87 | ---
 88 | 
 89 | ### Desktop Preview
 90 | ![alt text](/static/JupAsBlogDesk.png "Desktop")
 91 | 
 92 | 
 93 | 
 94 | ### Mobile Preview with theme toggle
 95 | Dark|Light
 96 | ----|----
 97 | ![alt text](/static/../static/JupDarkMobile.png "Mobile")|![alt text](/static/../static/LightThemeMobile.png "Mobile")
 98 | 
 99 | 
100 | ---
101 | 
102 | ### Dependencies
103 | * react-ace
104 | * react-markdown
105 | * antd (UI lib cuz I'm too lazy)
106 | 


--------------------------------------------------------------------------------
/ipynb-viewer/.gitignore:
--------------------------------------------------------------------------------
 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
 2 | 
 3 | # dependencies
 4 | /node_modules
 5 | /.pnp
 6 | .pnp.js
 7 | 
 8 | # testing
 9 | /coverage
10 | 
11 | # production
12 | /build
13 | 
14 | # misc
15 | .DS_Store
16 | .env.local
17 | .env.development.local
18 | .env.test.local
19 | .env.production.local
20 | 
21 | npm-debug.log*
22 | yarn-debug.log*
23 | yarn-error.log*
24 | 


--------------------------------------------------------------------------------
/ipynb-viewer/README.md:
--------------------------------------------------------------------------------
 1 | This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
 2 | 
 3 | ## Available Scripts
 4 | 
 5 | In the project directory, you can run:
 6 | 
 7 | ### `yarn start`
 8 | 
 9 | Runs the app in the development mode.<br />
10 | Open [http://localhost:3000](http://localhost:3000) to view it in the browser.
11 | 
12 | The page will reload if you make edits.<br />
13 | You will also see any lint errors in the console.
14 | 
15 | ### `yarn test`
16 | 
17 | Launches the test runner in the interactive watch mode.<br />
18 | See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
19 | 
20 | ### `yarn build`
21 | 
22 | Builds the app for production to the `build` folder.<br />
23 | It correctly bundles React in production mode and optimizes the build for the best performance.
24 | 
25 | The build is minified and the filenames include the hashes.<br />
26 | Your app is ready to be deployed!
27 | 
28 | See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
29 | 
30 | ### `yarn eject`
31 | 
32 | **Note: this is a one-way operation. Once you `eject`, you can’t go back!**
33 | 
34 | If you aren’t satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
35 | 
36 | Instead, it will copy all the configuration files and the transitive dependencies (Webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
37 | 
38 | You don’t have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
39 | 
40 | ## Learn More
41 | 
42 | You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
43 | 
44 | To learn React, check out the [React documentation](https://reactjs.org/).
45 | 
46 | ### Code Splitting
47 | 
48 | This section has moved here: https://facebook.github.io/create-react-app/docs/code-splitting
49 | 
50 | ### Analyzing the Bundle Size
51 | 
52 | This section has moved here: https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
53 | 
54 | ### Making a Progressive Web App
55 | 
56 | This section has moved here: https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
57 | 
58 | ### Advanced Configuration
59 | 
60 | This section has moved here: https://facebook.github.io/create-react-app/docs/advanced-configuration
61 | 
62 | ### Deployment
63 | 
64 | This section has moved here: https://facebook.github.io/create-react-app/docs/deployment
65 | 
66 | ### `yarn build` fails to minify
67 | 
68 | This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
69 | 


--------------------------------------------------------------------------------
/ipynb-viewer/package.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "name": "ipynb-viewer",
 3 |   "version": "0.1.0",
 4 |   "private": true,
 5 |   "dependencies": {
 6 |     "antd": "^3.24.2",
 7 |     "markdown-it": "^10.0.0",
 8 |     "react": "^16.11.0",
 9 |     "react-ace": "^8.0.0",
10 |     "react-dom": "^16.11.0",
11 |     "react-markdown": "^4.2.2",
12 |     "react-scripts": "3.2.0"
13 |   },
14 |   "scripts": {
15 |     "start": "react-scripts start",
16 |     "build": "react-scripts build",
17 |     "test": "react-scripts test",
18 |     "eject": "react-scripts eject"
19 |   },
20 |   "eslintConfig": {
21 |     "extends": "react-app"
22 |   },
23 |   "browserslist": {
24 |     "production": [
25 |       ">0.2%",
26 |       "not dead",
27 |       "not op_mini all"
28 |     ],
29 |     "development": [
30 |       "last 1 chrome version",
31 |       "last 1 firefox version",
32 |       "last 1 safari version"
33 |     ]
34 |   }
35 | }
36 | 


--------------------------------------------------------------------------------
/ipynb-viewer/public/favicon.ico:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/ipynb-viewer/public/favicon.ico


--------------------------------------------------------------------------------
/ipynb-viewer/public/index.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 |   <head>
 4 |     <meta charset="utf-8" />
 5 |     <link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
 6 |     <meta name="viewport" content="width=device-width, initial-scale=1" />
 7 |     <meta name="theme-color" content="#000000" />
 8 |     <meta
 9 |       name="description"
10 |       content="Web site created using create-react-app"
11 |     />
12 |     <link rel="apple-touch-icon" href="logo192.png" />
13 |     <!--
14 |       manifest.json provides metadata used when your web app is installed on a
15 |       user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
16 |     -->
17 |     <link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
18 |     <!--
19 |       Notice the use of %PUBLIC_URL% in the tags above.
20 |       It will be replaced with the URL of the `public` folder during the build.
21 |       Only files inside the `public` folder can be referenced from the HTML.
22 | 
23 |       Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
24 |       work correctly both with client-side routing and a non-root public URL.
25 |       Learn how to configure a non-root public URL by running `npm run build`.
26 |     -->
27 |     <title>React App</title>
28 |   </head>
29 |   <body>
30 |     <noscript>You need to enable JavaScript to run this app.</noscript>
31 |     <div id="root"></div>
32 |     <!--
33 |       This HTML file is a template.
34 |       If you open it directly in the browser, you will see an empty page.
35 | 
36 |       You can add webfonts, meta tags, or analytics to this file.
37 |       The build step will place the bundled scripts into the <body> tag.
38 | 
39 |       To begin the development, run `npm start` or `yarn start`.
40 |       To create a production bundle, use `npm run build` or `yarn build`.
41 |     -->
42 |   </body>
43 | </html>
44 | 


--------------------------------------------------------------------------------
/ipynb-viewer/public/logo192.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/ipynb-viewer/public/logo192.png


--------------------------------------------------------------------------------
/ipynb-viewer/public/logo512.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/ipynb-viewer/public/logo512.png


--------------------------------------------------------------------------------
/ipynb-viewer/public/manifest.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "short_name": "React App",
 3 |   "name": "Create React App Sample",
 4 |   "icons": [
 5 |     {
 6 |       "src": "favicon.ico",
 7 |       "sizes": "64x64 32x32 24x24 16x16",
 8 |       "type": "image/x-icon"
 9 |     },
10 |     {
11 |       "src": "logo192.png",
12 |       "type": "image/png",
13 |       "sizes": "192x192"
14 |     },
15 |     {
16 |       "src": "logo512.png",
17 |       "type": "image/png",
18 |       "sizes": "512x512"
19 |     }
20 |   ],
21 |   "start_url": ".",
22 |   "display": "standalone",
23 |   "theme_color": "#000000",
24 |   "background_color": "#ffffff"
25 | }
26 | 


--------------------------------------------------------------------------------
/ipynb-viewer/public/robots.txt:
--------------------------------------------------------------------------------
1 | # https://www.robotstxt.org/robotstxt.html
2 | User-agent: *
3 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/App.css:
--------------------------------------------------------------------------------
 1 | .App {
 2 |   text-align: center;
 3 | }
 4 | 
 5 | .App-logo {
 6 |   height: 40vmin;
 7 | }
 8 | 
 9 | .App-header {
10 |   background-color: #282c34;
11 |   min-height: 100vh;
12 |   display: flex;
13 |   flex-direction: column;
14 |   align-items: center;
15 |   justify-content: center;
16 |   font-size: calc(10px + 2vmin);
17 |   color: white;
18 | }
19 | 
20 | .App-link {
21 |   color: #09d3ac;
22 | }
23 | 
24 | .darkTheme > * {
25 |   background-color: #2F3129;
26 |   color: white;
27 | }
28 | 
29 | .MDImg img {
30 |   max-width: 100%;
31 | }
32 | 
33 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/App.js:
--------------------------------------------------------------------------------
 1 | import React from 'react';
 2 | import logo from './logo.svg';
 3 | import './App.css';
 4 | import JupViewer from './JupViewer'
 5 | 
 6 | const ipynb = require('./BenchmarkNotebook.ipynb')
 7 | 
 8 | class App extends React.Component {
 9 |   render() {
10 |     return (
11 |       <div className="App">
12 |         <JupViewer
13 |           title="Jupyter as a Blog!"
14 |           subtitle="I've always wanted to publish my jupyter notebooks as blogs. Finally I can."
15 |           // coverImg="https://notionpress.com/blog/wp-content/uploads/2018/06/Cover-design.png"
16 |           // file={ipynb}
17 |           file="https://raw.githubusercontent.com/jakevdp/PythonDataScienceHandbook/master/notebooks/00.00-Preface.ipynb"
18 |           // file="https://raw.githubusercontent.com/fastai/course-v3/master/nbs/dl1/00_notebook_tutorial.ipynb"
19 |         />
20 |       </div>
21 |     )
22 |   }
23 | }
24 | 
25 | 
26 | export default App;
27 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/App.test.js:
--------------------------------------------------------------------------------
 1 | import React from 'react';
 2 | import ReactDOM from 'react-dom';
 3 | import App from './App';
 4 | 
 5 | it('renders without crashing', () => {
 6 |   const div = document.createElement('div');
 7 |   ReactDOM.render(<App />, div);
 8 |   ReactDOM.unmountComponentAtNode(div);
 9 | });
10 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/BenchmarkNotebook.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "metadata": {},
  7 |    "outputs": [],
  8 |    "source": [
  9 |     "class Node:\n",
 10 |     "    def __init__(self, node_id, obj=None):\n",
 11 |     "        self.par = []\n",
 12 |     "        self.chids = []\n",
 13 |     "        self.name = node_id\n",
 14 |     "    \n",
 15 |     "def get_root(node):\n",
 16 |     "    if not node.par:\n",
 17 |     "        return [node]\n",
 18 |     "    all_parents = []\n",
 19 |     "    for par in node.par:\n",
 20 |     "        all_parents.extend(get_root(par))\n",
 21 |     "    return all_parents"
 22 |    ]
 23 |   },
 24 |   {
 25 |    "cell_type": "code",
 26 |    "execution_count": 2,
 27 |    "metadata": {},
 28 |    "outputs": [],
 29 |    "source": [
 30 |     "root = Node('Root', obj=\"Hi this is root\")"
 31 |    ]
 32 |   },
 33 |   {
 34 |    "cell_type": "code",
 35 |    "execution_count": 3,
 36 |    "metadata": {},
 37 |    "outputs": [],
 38 |    "source": [
 39 |     "n1 = Node('node1', obj=\"Node 1\")\n",
 40 |     "n1.par.append(root)"
 41 |    ]
 42 |   },
 43 |   {
 44 |    "cell_type": "code",
 45 |    "execution_count": 4,
 46 |    "metadata": {},
 47 |    "outputs": [],
 48 |    "source": [
 49 |     "n2 = Node('node2', obj=\"Node 2\")\n",
 50 |     "n2.par.append(root)"
 51 |    ]
 52 |   },
 53 |   {
 54 |    "cell_type": "code",
 55 |    "execution_count": 5,
 56 |    "metadata": {},
 57 |    "outputs": [],
 58 |    "source": [
 59 |     "n2_2 = Node('node2_2', obj=\"Node 2 ka baccha\")\n",
 60 |     "n2_2.par.append(n2)"
 61 |    ]
 62 |   },
 63 |   {
 64 |    "cell_type": "markdown",
 65 |    "metadata": {},
 66 |    "source": [
 67 |     "### Another disjoint tree\n",
 68 |     "![alt text](https://github.com/adam-p/markdown-here/raw/master/src/common/images/icon48.png \"Logo Title Text 1\")\n",
 69 |     "\n"
 70 |    ]
 71 |   },
 72 |   {
 73 |    "cell_type": "markdown",
 74 |    "metadata": {},
 75 |    "source": [
 76 |     "### Traversal"
 77 |    ]
 78 |   },
 79 |   {
 80 |    "cell_type": "code",
 81 |    "execution_count": 129,
 82 |    "metadata": {},
 83 |    "outputs": [
 84 |     {
 85 |      "data": {
 86 |       "text/plain": [
 87 |        "['Root']"
 88 |       ]
 89 |      },
 90 |      "execution_count": 129,
 91 |      "metadata": {},
 92 |      "output_type": "execute_result"
 93 |     }
 94 |    ],
 95 |    "source": [
 96 |     "rts_list = get_root(n1)\n",
 97 |     "[r.name for r in rts_list]"
 98 |    ]
 99 |   },
100 |   {
101 |    "cell_type": "code",
102 |    "execution_count": 132,
103 |    "metadata": {},
104 |    "outputs": [
105 |     {
106 |      "data": {
107 |       "text/plain": [
108 |        "['Root', 'Root of Tree 2']"
109 |       ]
110 |      },
111 |      "execution_count": 132,
112 |      "metadata": {},
113 |      "output_type": "execute_result"
114 |     }
115 |    ],
116 |    "source": [
117 |     "[r.name for r in get_root(n2_2)]"
118 |    ]
119 |   },
120 |   {
121 |    "cell_type": "code",
122 |    "execution_count": null,
123 |    "metadata": {},
124 |    "outputs": [],
125 |    "source": [
126 |     "# root          T2\n",
127 |     "#  /  \\        /\n",
128 |     "# n1   n2     t1\n",
129 |     "# |     \\    /\n",
130 |     "# []    n2_2\n",
131 |     "#         |\n",
132 |     "#         []"
133 |    ]
134 |   },
135 |   {
136 |    "cell_type": "code",
137 |    "execution_count": 5,
138 |    "metadata": {},
139 |    "outputs": [
140 |     {
141 |      "name": "stdout",
142 |      "output_type": "stream",
143 |      "text": [
144 |       "(720, 1280)\n"
145 |      ]
146 |     },
147 |     {
148 |      "data": {
149 |       "image/png": "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\n",
150 |       "text/plain": [
151 |        "<Figure size 432x288 with 1 Axes>"
152 |       ]
153 |      },
154 |      "metadata": {},
155 |      "output_type": "display_data"
156 |     }
157 |    ],
158 |    "source": [
159 |     "import cv2\n",
160 |     "import matplotlib.pyplot as plt\n",
161 |     "import numpy as np\n",
162 |     "import sys\n",
163 |     "%matplotlib inline\n",
164 |     "\n",
165 |     "im = cv2.imread('/home/shiv/Pictures/pcikleee.jpg',0)\n",
166 |     "h,w = im.shape[:2]\n",
167 |     "print(im.shape)\n",
168 |     "plt.imshow(im,cmap='gray')\n",
169 |     "plt.show()"
170 |    ]
171 |   },
172 |   {
173 |    "cell_type": "markdown",
174 |    "metadata": {},
175 |    "source": [
176 |     "### Loop traversal and multiline output"
177 |    ]
178 |   },
179 |   {
180 |    "cell_type": "code",
181 |    "execution_count": 9,
182 |    "metadata": {},
183 |    "outputs": [
184 |     {
185 |      "name": "stdout",
186 |      "output_type": "stream",
187 |      "text": [
188 |       "0\n",
189 |       "1\n",
190 |       "2\n",
191 |       "3\n",
192 |       "4\n",
193 |       "5\n",
194 |       "6\n",
195 |       "7\n",
196 |       "8\n",
197 |       "9\n"
198 |      ]
199 |     }
200 |    ],
201 |    "source": [
202 |     "for i in range(10):\n",
203 |     "    print(i)"
204 |    ]
205 |   },
206 |   {
207 |    "cell_type": "code",
208 |    "execution_count": 10,
209 |    "metadata": {},
210 |    "outputs": [
211 |     {
212 |      "data": {
213 |       "text/plain": [
214 |        "{1: 2, 4: 'hello', 'test_jey': ['anotherobject']}"
215 |       ]
216 |      },
217 |      "execution_count": 10,
218 |      "metadata": {},
219 |      "output_type": "execute_result"
220 |     }
221 |    ],
222 |    "source": [
223 |     "# TEST for an object print\n",
224 |     "obj = {1:2, 4:'hello', 'test_jey':['anotherobject']}\n",
225 |     "obj"
226 |    ]
227 |   },
228 |   {
229 |    "cell_type": "code",
230 |    "execution_count": 11,
231 |    "metadata": {},
232 |    "outputs": [
233 |     {
234 |      "name": "stdout",
235 |      "output_type": "stream",
236 |      "text": [
237 |       "{1: 2, 4: 'hello', 'test_jey': ['anotherobject']}\n"
238 |      ]
239 |     }
240 |    ],
241 |    "source": [
242 |     "print(obj)"
243 |    ]
244 |   },
245 |   {
246 |    "cell_type": "code",
247 |    "execution_count": 12,
248 |    "metadata": {},
249 |    "outputs": [
250 |     {
251 |      "data": {
252 |       "text/plain": [
253 |        "35"
254 |       ]
255 |      },
256 |      "execution_count": 12,
257 |      "metadata": {},
258 |      "output_type": "execute_result"
259 |     }
260 |    ],
261 |    "source": [
262 |     "a = 35\n",
263 |     "a\n"
264 |    ]
265 |   },
266 |   {
267 |    "cell_type": "code",
268 |    "execution_count": 13,
269 |    "metadata": {},
270 |    "outputs": [
271 |     {
272 |      "name": "stdout",
273 |      "output_type": "stream",
274 |      "text": [
275 |       "35\n"
276 |      ]
277 |     }
278 |    ],
279 |    "source": [
280 |     "print(a)"
281 |    ]
282 |   },
283 |   {
284 |    "cell_type": "code",
285 |    "execution_count": 1,
286 |    "metadata": {},
287 |    "outputs": [
288 |     {
289 |      "ename": "ZeroDivisionError",
290 |      "evalue": "division by zero",
291 |      "output_type": "error",
292 |      "traceback": [
293 |       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
294 |       "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
295 |       "\u001b[0;32m<ipython-input-1-9e1622b385b6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;36m1\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
296 |       "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
297 |      ]
298 |     }
299 |    ],
300 |    "source": [
301 |     "1/0"
302 |    ]
303 |   },
304 |   {
305 |    "cell_type": "markdown",
306 |    "metadata": {},
307 |    "source": [
308 |     "### Complex markdown\n",
309 |     "\n",
310 |     "#### Tables?\n",
311 |     "\n",
312 |     "col 1 | col 2\n",
313 |     "------|------\n",
314 |     "A|B\n",
315 |     "C|D"
316 |    ]
317 |   },
318 |   {
319 |    "cell_type": "code",
320 |    "execution_count": null,
321 |    "metadata": {},
322 |    "outputs": [],
323 |    "source": []
324 |   }
325 |  ],
326 |  "metadata": {
327 |   "kernelspec": {
328 |    "display_name": "Python 3",
329 |    "language": "python",
330 |    "name": "python3"
331 |   },
332 |   "language_info": {
333 |    "codemirror_mode": {
334 |     "name": "ipython",
335 |     "version": 3
336 |    },
337 |    "file_extension": ".py",
338 |    "mimetype": "text/x-python",
339 |    "name": "python",
340 |    "nbconvert_exporter": "python",
341 |    "pygments_lexer": "ipython3",
342 |    "version": "3.6.8"
343 |   }
344 |  },
345 |  "nbformat": 4,
346 |  "nbformat_minor": 2
347 | }
348 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/BenchmarkNotebook.json:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "metadata": {},
  7 |    "outputs": [],
  8 |    "source": [
  9 |     "class Node:\n",
 10 |     "    def __init__(self, node_id, obj=None):\n",
 11 |     "        self.par = []\n",
 12 |     "        self.chids = []\n",
 13 |     "        self.name = node_id\n",
 14 |     "    \n",
 15 |     "def get_root(node):\n",
 16 |     "    if not node.par:\n",
 17 |     "        return [node]\n",
 18 |     "    all_parents = []\n",
 19 |     "    for par in node.par:\n",
 20 |     "        all_parents.extend(get_root(par))\n",
 21 |     "    return all_parents"
 22 |    ]
 23 |   },
 24 |   {
 25 |    "cell_type": "code",
 26 |    "execution_count": 2,
 27 |    "metadata": {},
 28 |    "outputs": [],
 29 |    "source": [
 30 |     "root = Node('Root', obj=\"Hi this is root\")"
 31 |    ]
 32 |   },
 33 |   {
 34 |    "cell_type": "code",
 35 |    "execution_count": 3,
 36 |    "metadata": {},
 37 |    "outputs": [],
 38 |    "source": [
 39 |     "n1 = Node('node1', obj=\"Node 1\")\n",
 40 |     "n1.par.append(root)"
 41 |    ]
 42 |   },
 43 |   {
 44 |    "cell_type": "code",
 45 |    "execution_count": 4,
 46 |    "metadata": {},
 47 |    "outputs": [],
 48 |    "source": [
 49 |     "n2 = Node('node2', obj=\"Node 2\")\n",
 50 |     "n2.par.append(root)"
 51 |    ]
 52 |   },
 53 |   {
 54 |    "cell_type": "code",
 55 |    "execution_count": 124,
 56 |    "metadata": {},
 57 |    "outputs": [],
 58 |    "source": [
 59 |     "n2_2 = Node('node2_2', obj=\"Node 2 ka baccha\")\n",
 60 |     "n2_2.par.append(n2)"
 61 |    ]
 62 |   },
 63 |   {
 64 |    "cell_type": "markdown",
 65 |    "metadata": {},
 66 |    "source": [
 67 |     "### Another disjoint tree\n",
 68 |     "![alt text](https://github.com/adam-p/markdown-here/raw/master/src/common/images/icon48.png \"Logo Title Text 1\")"
 69 |    ]
 70 |   },
 71 |   {
 72 |    "cell_type": "code",
 73 |    "execution_count": 125,
 74 |    "metadata": {},
 75 |    "outputs": [],
 76 |    "source": [
 77 |     "T2 = Node('Root of Tree 2', obj=\"Tree 2\")"
 78 |    ]
 79 |   },
 80 |   {
 81 |    "cell_type": "code",
 82 |    "execution_count": 126,
 83 |    "metadata": {},
 84 |    "outputs": [],
 85 |    "source": [
 86 |     "t1 = Node('node1 T2', obj=\"Node 1\")\n",
 87 |     "t1.par.append(T2)"
 88 |    ]
 89 |   },
 90 |   {
 91 |    "cell_type": "code",
 92 |    "execution_count": 131,
 93 |    "metadata": {},
 94 |    "outputs": [],
 95 |    "source": [
 96 |     "n2_2.par.append(t1)"
 97 |    ]
 98 |   },
 99 |   {
100 |    "cell_type": "markdown",
101 |    "metadata": {},
102 |    "source": [
103 |     "### Traversal"
104 |    ]
105 |   },
106 |   {
107 |    "cell_type": "code",
108 |    "execution_count": 129,
109 |    "metadata": {},
110 |    "outputs": [
111 |     {
112 |      "data": {
113 |       "text/plain": [
114 |        "['Root']"
115 |       ]
116 |      },
117 |      "execution_count": 129,
118 |      "metadata": {},
119 |      "output_type": "execute_result"
120 |     }
121 |    ],
122 |    "source": [
123 |     "rts_list = get_root(n1)\n",
124 |     "[r.name for r in rts_list]"
125 |    ]
126 |   },
127 |   {
128 |    "cell_type": "code",
129 |    "execution_count": 132,
130 |    "metadata": {},
131 |    "outputs": [
132 |     {
133 |      "data": {
134 |       "text/plain": [
135 |        "['Root', 'Root of Tree 2']"
136 |       ]
137 |      },
138 |      "execution_count": 132,
139 |      "metadata": {},
140 |      "output_type": "execute_result"
141 |     }
142 |    ],
143 |    "source": [
144 |     "[r.name for r in get_root(n2_2)]"
145 |    ]
146 |   },
147 |   {
148 |    "cell_type": "code",
149 |    "execution_count": null,
150 |    "metadata": {},
151 |    "outputs": [],
152 |    "source": [
153 |     "# root          T2\n",
154 |     "#  /  \\        /\n",
155 |     "# n1   n2     t1\n",
156 |     "# |     \\    /\n",
157 |     "# []    n2_2\n",
158 |     "#         |\n",
159 |     "#         []"
160 |    ]
161 |   },
162 |   {
163 |    "cell_type": "code",
164 |    "execution_count": 5,
165 |    "metadata": {},
166 |    "outputs": [
167 |     {
168 |      "name": "stdout",
169 |      "output_type": "stream",
170 |      "text": [
171 |       "(720, 1280)\n"
172 |      ]
173 |     },
174 |     {
175 |      "data": {
176 |       "image/png": "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\n",
177 |       "text/plain": [
178 |        "<Figure size 432x288 with 1 Axes>"
179 |       ]
180 |      },
181 |      "metadata": {},
182 |      "output_type": "display_data"
183 |     }
184 |    ],
185 |    "source": [
186 |     "import cv2\n",
187 |     "import matplotlib.pyplot as plt\n",
188 |     "import numpy as np\n",
189 |     "import sys\n",
190 |     "%matplotlib inline\n",
191 |     "\n",
192 |     "im = cv2.imread('/home/shiv/Pictures/pcikleee.jpg',0)\n",
193 |     "h,w = im.shape[:2]\n",
194 |     "print(im.shape)\n",
195 |     "plt.imshow(im,cmap='gray')\n",
196 |     "plt.show()"
197 |    ]
198 |   },
199 |   {
200 |    "cell_type": "code",
201 |    "execution_count": null,
202 |    "metadata": {},
203 |    "outputs": [],
204 |    "source": []
205 |   }
206 |  ],
207 |  "metadata": {
208 |   "kernelspec": {
209 |    "display_name": "Python 3",
210 |    "language": "python",
211 |    "name": "python3"
212 |   },
213 |   "language_info": {
214 |    "codemirror_mode": {
215 |     "name": "ipython",
216 |     "version": 3
217 |    },
218 |    "file_extension": ".py",
219 |    "mimetype": "text/x-python",
220 |    "name": "python",
221 |    "nbconvert_exporter": "python",
222 |    "pygments_lexer": "ipython3",
223 |    "version": "3.6.8"
224 |   }
225 |  },
226 |  "nbformat": 4,
227 |  "nbformat_minor": 2
228 | }
229 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/JupViewer.js:
--------------------------------------------------------------------------------
  1 | import React from 'react';
  2 | import {
  3 |     Card, Spin,
  4 |     Tag, Col, Row, Typography,
  5 |     Switch
  6 | } from 'antd';
  7 | import { render } from "react-dom";
  8 | import AceEditor from "react-ace";
  9 | import "ace-builds/src-noconflict/mode-python";
 10 | import "ace-builds/src-noconflict/theme-monokai";
 11 | import "ace-builds/src-noconflict/theme-kuroir";
 12 | import "ace-builds/src-noconflict/theme-terminal";
 13 | import './App.css';
 14 | 
 15 | const ReactMarkdown = require('react-markdown')
 16 | const { Meta } = Card;
 17 | 
 18 | class JupViewer extends React.Component {
 19 |     state = {
 20 |         //file_path
 21 |         fpath: "",
 22 |         fbase_path: "",
 23 |         // Editor Theme
 24 |         ed_theme: 'darkTheme',
 25 |         text_ed_theme: 'monokai',
 26 |         //themes:
 27 |         background_theme: "black",
 28 |         background_text_theme: 'white',
 29 |         // background_input_theme: '#2F3129',
 30 |         background_input_theme: '#272822',
 31 |         background_output_theme: '#2F3129',
 32 |         loading: true,
 33 |         notebook_json: null,
 34 |         placeholder_component: "Loading....",
 35 | 
 36 |         // Gutter
 37 |         gutterVisible: false
 38 |     }
 39 | 
 40 |     validURL(str) {
 41 |         var pattern = new RegExp('^(https?:\\/\\/)?' + // protocol
 42 |             '((([a-z\\d]([a-z\\d-]*[a-z\\d])*)\\.)+[a-z]{2,}|' + // domain name
 43 |             '((\\d{1,3}\\.){3}\\d{1,3}))' + // OR ip (v4) address
 44 |             '(\\:\\d+)?(\\/[-a-z\\d%_.~+]*)*' + // port and path
 45 |             '(\\?[;&a-z\\d%_.~+=-]*)?' + // query string
 46 |             '(\\#[-a-z\\d_]*)?$', 'i'); // fragment locator
 47 |         return !!pattern.test(str);
 48 |     }
 49 | 
 50 |     async componentDidMount() {
 51 |         if (!!this.props.file) {
 52 |             var fbase = this.props.file.split('/');
 53 |             fbase.pop();
 54 |             this.setState({
 55 |                 fpath: this.props.file,
 56 |                 fbase_path: fbase.join('/') + '/'
 57 |             })
 58 |             await fetch(this.props.file)
 59 |                 .then((r) => r.text())
 60 |                 .then(async (text) => {
 61 |                     try {
 62 |                         var notebook_json = JSON.parse(text)
 63 |                         this.setState({
 64 |                             notebook_json: notebook_json,
 65 |                             loading: false,
 66 |                             placeholder_component: 'Notebook loaded'
 67 |                         })
 68 |                         console.log(this.state.notebook_json)
 69 |                     } catch (error) {
 70 |                         alert('OOps! Unable to load json')
 71 |                         this.setState({
 72 |                             notebook_json: { "message": "Unable to parse .ipynb file" },
 73 |                             loading: false,
 74 |                             placeholder_component: 'Oops! We have problem opening the notebook'
 75 |                         })
 76 |                     }
 77 |                 })
 78 |         }
 79 |     }
 80 | 
 81 |     praseSource(source) {
 82 |         var cell_content = ``
 83 |         for (var code in source) {
 84 |             cell_content += source[code]
 85 |         }
 86 |         return cell_content
 87 |     }
 88 | 
 89 |     parseMD(source) {
 90 |         var cell_content = ``
 91 |         for (var code in source) {
 92 |             var rgx = new RegExp(/src="(.*?)"/)
 93 |             var new_source = source[code]
 94 |             var old_source = source[code].match(rgx)
 95 |             if (!!old_source && !this.validURL(old_source[1])) {
 96 |                 new_source = source[code].replace(/src="(.*?)"/, 'src="' + this.state.fbase_path + old_source[1] + '"')
 97 |                 // console.log(new_source)
 98 |             } else {
 99 |                 var rgx2 = new RegExp(/\!\[(.*?)\]\((.*?)[\s|\)]/)
100 |                 var s2 = source[code].match(rgx2)
101 |                 if (!!s2 && !this.validURL(s2[2])) {
102 |                     // console.log(s2[2])
103 |                     // console.log(this.validURL(s2[2]))
104 |                     // console.log(new_source.replace(s2[2], this.state.fbase_path + s2[2]))
105 |                     new_source = new_source.replace(s2[2], this.state.fbase_path + s2[2])
106 |                 }
107 |             }
108 |             // 
109 |             cell_content += new_source
110 |         }
111 |         return cell_content
112 |     }
113 | 
114 |     praseOutputs(outputs) {
115 |         if (outputs.length == 0) {
116 |             return ""
117 |         }
118 |         // Handle "data" type cells
119 |         var text_plain = ``
120 |         var stdout = ``
121 |         var errors = ``
122 |         var img_data = `data:image/png;base64,`
123 | 
124 |         //booleans
125 |         var stdout_found = false
126 |         var text_found = false
127 |         var error_found = false
128 |         var img_found = false
129 | 
130 |         //maxlines for each output type
131 |         var lines_stdout = 3
132 |         var lines_text_plain = 3
133 |         var lines_error_trace = 3
134 |         for (var outs in outputs) {
135 |             if ("data" in outputs[outs]) {
136 | 
137 |                 if ("text/plain" in outputs[outs]["data"]) {
138 |                     for (var text in outputs[outs]['data']['text/plain']) {
139 |                         text_plain += outputs[outs]['data']['text/plain'][text]
140 |                     }
141 |                     text_found = true
142 |                     lines_text_plain = outputs[outs]["data"]["text/plain"].length
143 |                 }
144 |                 if ("image/png" in outputs[outs]["data"]) {
145 |                     img_data += outputs[outs]["data"]["image/png"]
146 |                     img_found = true
147 |                 }
148 |             }
149 |             if ("name" in outputs[outs]) {
150 |                 for (var text in outputs[outs]["text"]) {
151 |                     stdout += outputs[outs]["text"][text]
152 |                 }
153 |                 stdout_found = true
154 |                 lines_stdout = outputs[outs]["text"].length
155 |             }
156 |             // Check for errors
157 |             if ("ename" in outputs[outs]) {
158 |                 errors += outputs[outs]['ename'] + "\n" + outputs[outs]["evalue"] + "\n"
159 |                 // for (var trace in outputs[outs]["traceback"]) {
160 |                 //     errors += outputs[outs]["traceback"][trace]
161 |                 // }
162 |                 error_found = true
163 |                 lines_error_trace = outputs[outs]["traceback"].length
164 |             }
165 |         }
166 | 
167 |         var return_template = (
168 |             <div>
169 |                 <div style={{
170 |                     padding: '5px 3px',
171 |                     display: stdout_found ? '' : 'none'
172 |                 }}>
173 |                     <Tag color="#2db7f5"
174 |                     >stdout</Tag><br></br>
175 |                     <AceEditor
176 |                         readOnly
177 |                         placeholder="--"
178 |                         mode="markdown"
179 |                         theme={this.state.text_ed_theme}
180 |                         name="stdout"
181 |                         style={{
182 |                             maxWidth: '700px',
183 |                             padding: '10px',
184 |                             margin: '10px 0px'
185 |                         }}
186 |                         width="100%"
187 |                         maxLines={lines_stdout + 1}
188 |                         fontSize={14}
189 |                         showPrintMargin={false}
190 |                         showGutter={false}
191 |                         highlightActiveLine={false}
192 |                         value={stdout}
193 |                         setOptions={{
194 |                             enableBasicAutocompletion: false,
195 |                             enableLiveAutocompletion: false,
196 |                             enableSnippets: false,
197 |                             showLineNumbers: false,
198 |                             tabSize: 2,
199 |                         }} /></div>
200 |                 <div style={{ padding: '5px 3px', display: text_found ? '' : 'none' }}>
201 |                     <Tag color="#87d068"
202 |                     >data:text/plain</Tag><br></br>
203 |                     <AceEditor
204 |                         readOnly
205 |                         placeholder="--"
206 |                         mode="markdown"
207 |                         theme={this.state.text_ed_theme}
208 |                         name="text"
209 |                         style={{
210 |                             maxWidth: '700px',
211 |                             padding: '10px',
212 |                             margin: '10px 0px'
213 |                         }}
214 |                         width="100%"
215 |                         maxLines={lines_text_plain}
216 |                         fontSize={14}
217 |                         showPrintMargin={false}
218 |                         showGutter={false}
219 |                         highlightActiveLine={false}
220 |                         value={text_plain}
221 |                         setOptions={{
222 |                             enableBasicAutocompletion: false,
223 |                             enableLiveAutocompletion: false,
224 |                             enableSnippets: false,
225 |                             showLineNumbers: false,
226 |                             tabSize: 2,
227 |                         }} /></div>
228 |                 <div style={{ display: img_found ? '' : 'none' }}>
229 |                     <Tag color="#87d068"
230 |                     >data:image/png</Tag><br></br>
231 |                     <img
232 |                         src={img_data}
233 |                         style={{
234 |                             display: img_found ? '' : 'none',
235 |                             width: '100%',
236 |                             backgroundColor: 'white'
237 |                         }} />
238 |                 </div>
239 |                 <div style={{ padding: '5px 3px', display: error_found ? '' : 'none' }}>
240 |                     <Tag color="#f50"
241 |                     >error</Tag><br></br>
242 |                     <AceEditor
243 |                         readOnly
244 |                         placeholder="--"
245 |                         mode="markdown"
246 |                         theme={this.state.text_ed_theme}
247 |                         name="error"
248 |                         style={{
249 |                             maxWidth: '700px',
250 |                             padding: '10px',
251 |                             margin: '10px 0px'
252 |                         }}
253 |                         width="100%"
254 |                         maxLines={lines_error_trace}
255 |                         fontSize={14}
256 |                         showPrintMargin={false}
257 |                         showGutter={false}
258 |                         highlightActiveLine={false}
259 |                         value={errors}
260 |                         setOptions={{
261 |                             enableBasicAutocompletion: false,
262 |                             enableLiveAutocompletion: false,
263 |                             enableSnippets: false,
264 |                             showLineNumbers: false,
265 |                             tabSize: 2,
266 |                         }} /></div>
267 |             </div>
268 |         )
269 | 
270 | 
271 |         return return_template
272 |     }
273 | 
274 | 
275 |     themeChanger(ev) {
276 |         if (ev) {
277 |             this.setState({
278 |                 // Editor Theme
279 |                 ed_theme: 'darkTheme',
280 |                 text_ed_theme: 'monokai',
281 |                 //themes:
282 |                 background_theme: "black",
283 |                 background_text_theme: 'white',
284 |                 // background_input_theme: '#2F3129',
285 |                 background_input_theme: '#272822',
286 |                 background_output_theme: '#2F3129',
287 |             })
288 |         }
289 |         else {
290 |             this.setState({
291 |                 // Editor Theme
292 |                 ed_theme: 'lightTheme',
293 |                 text_ed_theme: 'kuroir',
294 |                 //themes:
295 |                 background_theme: "white",
296 |                 background_text_theme: 'black',
297 |                 // background_input_theme: '#2F3129',
298 |                 background_input_theme: '#E8E9E8',
299 |                 background_output_theme: '#F1F1F2',
300 |             })
301 |         }
302 |         console.log(`switch to ${ev}`);
303 |     }
304 | 
305 |     gutterChanger(ev) {
306 |         if (ev) {
307 |             this.setState({
308 |                 gutterVisible: true
309 |             })
310 |         }
311 |         else {
312 |             this.setState({
313 |                 gutterVisible: false
314 |             })
315 |         }
316 |     }
317 | 
318 |     render() {
319 |         console.log(this.props.file)
320 |         return (
321 |             <div>
322 |                 <br></br>
323 |                 <Spin spinning={this.state.loading} >
324 |                     <center>
325 |                         {/* This is where the blog metadata and the cover will go */}
326 |                         <div class={this.state.ed_theme}>
327 |                             <Card
328 |                                 bodyStyle={{
329 |                                     padding: '30px 10px',
330 |                                     backgroundColor: this.state.background_output_theme,
331 |                                 }}
332 |                                 style={{
333 |                                     width: '100%',
334 |                                     maxWidth: '800px',
335 |                                     border: 'none'
336 |                                 }}
337 |                             >
338 |                                 <Row>
339 |                                     <Col span={1}></Col>
340 |                                     <Col span={22}>
341 |                                         <Typography.Title strong style={{
342 |                                             color: this.state.background_text_theme,
343 |                                             // fontSize: '50px',
344 |                                             wordWrap: 'break-word',
345 |                                             width: '100%',
346 |                                         }}>{this.props.title}</Typography.Title>
347 |                                         <Typography.Title
348 |                                             level={4} style={{
349 |                                                 color: this.state.background_text_theme,
350 |                                                 wordWrap: 'break-word',
351 |                                                 width: '100%',
352 |                                                 display: !!this.props.subtitle ? '' : 'none'
353 |                                             }}>{this.props.subtitle}</Typography.Title>
354 |                                     </Col>
355 |                                     <Col span={1}></Col>
356 |                                 </Row>
357 | 
358 |                                 <Row>
359 |                                     <Col span={1}></Col>
360 |                                     <Col span={22}>
361 |                                         <img
362 |                                             alt="No Cover Image Found"
363 |                                             style={{
364 |                                                 display: !!this.props.coverImg ? '' : 'none',
365 |                                                 width: '100%'
366 |                                             }}
367 |                                             src={!!this.props.coverImg ? this.props.coverImg : "http://eskipaper.com/images/simple-silver-wallpaper-1.jpg"} />
368 |                                     </Col>
369 |                                     <Col span={1}>
370 | 
371 |                                     </Col>
372 |                                 </Row>
373 | 
374 |                                 <br></br>
375 |                                 <br></br>
376 |                                 <Row>
377 |                                     <Col span={1}></Col>
378 |                                     <Col span={20}>
379 |                                         <Tag color="blue" style={{ float: 'left' }}>{this.state.loading ? "Unknown" : this.state.notebook_json['metadata']['kernelspec']['display_name']}</Tag>
380 |                                         <Switch
381 |                                             style={{
382 |                                                 margin: '0px 5px'
383 |                                             }}
384 |                                             defaultChecked checkedChildren="dark theme" unCheckedChildren="light theme"
385 |                                             onChange={this.themeChanger.bind(this)}
386 |                                         />
387 |                                         <Switch
388 |                                             style={{
389 |                                                 margin: '0px 5px'
390 |                                             }}
391 |                                             checkedChildren="gutter visilbe" unCheckedChildren="gutter hidden"
392 |                                             onChange={this.gutterChanger.bind(this)} />
393 |                                     </Col>
394 |                                     <Col span={1}></Col>
395 |                                 </Row>
396 |                             </Card>
397 |                         </div>
398 |                         {
399 |                             this.state.loading ? <div></div> : (this.state.notebook_json['cells'].map(item => (
400 |                                 <Card
401 |                                     bodyStyle={{
402 |                                         padding: '0px 10px',
403 |                                         backgroundColor: this.state.background_output_theme
404 |                                     }}
405 |                                     style={{
406 |                                         width: '100%',
407 |                                         maxWidth: '800px',
408 |                                         border: 'none'
409 |                                     }}
410 |                                 >
411 | 
412 |                                     <Row
413 |                                         style={{
414 |                                             backgroundColor: this.state.background_output_theme
415 |                                         }}
416 |                                     >
417 |                                         <Col span={this.state.gutterVisible ? 3 : 1}>
418 |                                             <div
419 |                                                 style={{
420 |                                                     display: this.state.gutterVisible ? '' : 'none'
421 |                                                 }}
422 |                                             >
423 |                                                 <Typography.Text
424 |                                                     style={{
425 |                                                         color: this.state.background_text_theme,
426 |                                                         float: 'left',
427 |                                                         padding: '5px',
428 |                                                         color: '#56ACBC',
429 |                                                         display: item['cell_type'] == "code" ? '' : 'none',
430 |                                                     }}>
431 |                                                     I [ {item['execution_count']} ]:
432 |                                             </Typography.Text>
433 | 
434 |                                             </div>
435 |                                         </Col>
436 | 
437 |                                         <Col span={this.state.gutterVisible ? 20 : 22}
438 |                                             style={{
439 |                                                 textAlign: 'left'
440 |                                             }}
441 |                                         >
442 | 
443 |                                             {item['cell_type'] == "code" ? (
444 |                                                 <div
445 |                                                     style={{
446 |                                                         padding: '5px 0px',
447 |                                                         borderStyle: 'solid',
448 |                                                         borderWidth: '1px',
449 |                                                         backgroundColor: this.state.background_input_theme
450 |                                                     }}>
451 |                                                     <AceEditor
452 |                                                         readOnly
453 |                                                         placeholder="---"
454 |                                                         mode="python"
455 |                                                         theme={this.state.text_ed_theme}
456 |                                                         name="code"
457 |                                                         style={{
458 |                                                             maxWidth: '700px',
459 |                                                             padding: '10px',
460 |                                                             margin: '10px 0px'
461 |                                                         }}
462 |                                                         width="100%"
463 |                                                         maxLines={item['source'].length == 0 ? 1 : item['source'].length + 1}
464 |                                                         onLoad={this.onLoad}
465 |                                                         onChange={this.onChange}
466 |                                                         fontSize={14}
467 |                                                         showGutter={true}
468 |                                                         highlightActiveLine={true}
469 |                                                         value={this.praseSource(item['source'])}
470 |                                                         setOptions={{
471 |                                                             enableBasicAutocompletion: false,
472 |                                                             enableLiveAutocompletion: false,
473 |                                                             enableSnippets: false,
474 |                                                             showLineNumbers: true,
475 |                                                             tabSize: 2,
476 |                                                         }} />
477 |                                                 </div>
478 |                                             ) :
479 | 
480 |                                                 <div class="MDImg">
481 |                                                     <div
482 |                                                         class={this.state.ed_theme}
483 |                                                         style={{
484 |                                                             margin: '0px 0px',
485 |                                                             padding: '10px',
486 |                                                             // border:'solid',
487 |                                                             // borderWidth:'1px'
488 |                                                         }}
489 |                                                     >
490 |                                                         <ReactMarkdown
491 |                                                             style={{
492 |                                                                 float: 'left'
493 |                                                             }}
494 |                                                             source={this.parseMD(item['source'])}
495 |                                                             escapeHtml={false}
496 |                                                         />
497 |                                                     </div>
498 |                                                 </div>}
499 |                                         </Col>
500 |                                         <Col span={1}></Col>
501 |                                     </Row>
502 | 
503 |                                     {
504 |                                         item['cell_type'] == 'markdown' ? <div></div> :
505 |                                             (
506 |                                                 <Row
507 |                                                     style={{
508 |                                                         display: !!item['outputs'].length == 0 ? 'none' : 'visible',
509 |                                                         backgroundColor: this.state.background_output_theme
510 |                                                     }}>
511 | 
512 |                                                     <Col span={this.state.gutterVisible ? 3 : 1}>
513 |                                                         <Typography.Text
514 |                                                             style={{
515 |                                                                 display: this.state.gutterVisible ? '' : 'none',
516 |                                                                 color: this.state.background_text_theme,
517 |                                                                 float: 'left',
518 |                                                                 padding: '5px',
519 |                                                                 color: '#E5496A'
520 |                                                             }}>
521 |                                                             O [ {item['execution_count']} ]:
522 |                                                         </Typography.Text>
523 |                                                     </Col>
524 |                                                     <Col span={this.state.gutterVisible ? 20 : 22}
525 |                                                         style={{
526 |                                                             textAlign: 'left',
527 |                                                             color: 'white'
528 |                                                         }}>
529 |                                                         {this.praseOutputs(item['outputs'])}
530 |                                                     </Col>
531 |                                                     <Col span={1}></Col>
532 |                                                 </Row>
533 |                                             )
534 |                                     }
535 |                                 </Card>
536 |                             )))
537 |                         }
538 |                     </center>
539 |                 </Spin>
540 |                 <br></br>
541 |             </div>
542 |         )
543 |     }
544 | }
545 | 
546 | 
547 | export default JupViewer;
548 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/index.css:
--------------------------------------------------------------------------------
 1 | body {
 2 |   margin: 0;
 3 |   font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen",
 4 |     "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue",
 5 |     sans-serif;
 6 |   -webkit-font-smoothing: antialiased;
 7 |   -moz-osx-font-smoothing: grayscale;
 8 | }
 9 | 
10 | code {
11 |   font-family: source-code-pro, Menlo, Monaco, Consolas, "Courier New",
12 |     monospace;
13 | }
14 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/index.js:
--------------------------------------------------------------------------------
 1 | import "antd/dist/antd.css";
 2 | import React from 'react';
 3 | import ReactDOM from 'react-dom';
 4 | import './index.css';
 5 | import App from './App';
 6 | import * as serviceWorker from './serviceWorker';
 7 | 
 8 | ReactDOM.render(<App />, document.getElementById('root'));
 9 | 
10 | // If you want your app to work offline and load faster, you can change
11 | // unregister() to register() below. Note this comes with some pitfalls.
12 | // Learn more about service workers: https://bit.ly/CRA-PWA
13 | serviceWorker.unregister();
14 | 


--------------------------------------------------------------------------------
/ipynb-viewer/src/logo.svg:
--------------------------------------------------------------------------------
1 | <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 170.96 159.93"><defs><style>.cls-1{fill:#09d3ac;}</style></defs><path class="cls-1" d="M141.35,73.27c0-6.89-8.11-13-20.58-16.73,3-12.67,1.69-22.75-4.28-26.16a9.55,9.55,0,0,0-4.79-1.2c-5.57,0-12.61,3.89-19.72,10.62-7.11-6.68-14.13-10.55-19.69-10.55a9.46,9.46,0,0,0-4.86,1.22c-5.94,3.42-7.17,13.44-4.21,26.05-12.41,3.71-20.48,9.77-20.5,16.63s8.12,13,20.59,16.72c-3,12.68-1.7,22.75,4.28,26.16a9.41,9.41,0,0,0,4.78,1.2c5.58,0,12.62-3.89,19.73-10.62,7.1,6.68,14.12,10.55,19.69,10.55a9.59,9.59,0,0,0,4.86-1.22c5.94-3.42,7.16-13.44,4.21-26C133.27,86.18,141.34,80.12,141.35,73.27ZM96.56,42.06c8.19-7.33,13.31-8.12,15.13-8.12h0a4.71,4.71,0,0,1,2.42.58c2.86,1.63,4,7.38,3.09,15a56.73,56.73,0,0,1-1,5.79,97.7,97.7,0,0,0-12.58-2.07,98.47,98.47,0,0,0-8.24-10.08C95.75,42.79,96.15,42.42,96.56,42.06ZM71.77,78.94c.78,1.5,1.61,3,2.47,4.51S76,86.49,77,88c-2.71-.39-5.34-.88-7.84-1.46C69.86,84,70.75,81.5,71.77,78.94ZM69,59.9c2.53-.59,5.18-1.08,7.93-1.46-1,1.48-1.86,3-2.76,4.59s-1.69,3-2.46,4.52Q70.18,63.65,69,59.9Zm5.21,13.34q1.86-3.93,4.09-7.86c1.5-2.62,3.11-5.17,4.77-7.61,2.91-.22,5.91-.34,9-.33s6,.12,8.89.35c1.66,2.42,3.25,5,4.75,7.55s2.88,5.22,4.12,7.83c-1.23,2.62-2.6,5.25-4.08,7.85s-3.11,5.18-4.77,7.62c-2.91.23-5.91.34-9,.34s-6-.13-8.89-.36c-1.66-2.42-3.26-4.94-4.76-7.55S75.5,75.85,74.25,73.24Zm32.86-14.77c2.72.38,5.35.87,7.84,1.45-.74,2.47-1.62,5-2.64,7.55-.79-1.5-1.61-3-2.48-4.51S108,59.93,107.11,58.47Zm2.76,24.92q1.29-2.27,2.46-4.53c1,2.6,2,5.16,2.7,7.66-2.52.59-5.17,1.07-7.92,1.45Q108.52,85.75,109.87,83.39ZM92,46.56c1.8,1.92,3.57,4,5.3,6.23-1.71-.07-3.46-.12-5.23-.12s-3.58,0-5.33.12C88.45,50.57,90.2,48.48,92,46.56Zm-22.18-12A4.82,4.82,0,0,1,72.29,34a13.11,13.11,0,0,1,5.19,1.31,39.07,39.07,0,0,1,10,6.78l1.17,1.07a98.49,98.49,0,0,0-8.16,10,98.88,98.88,0,0,0-12.65,2.06c-.44-1.94-.8-3.84-1-5.67C65.8,42,67,36.24,69.81,34.6ZM64.53,85.26a58.75,58.75,0,0,1-5.54-2c-7.1-3-11.5-6.85-11.5-10.14S51.91,66,59,63.05a57.63,57.63,0,0,1,5.44-1.94A97.93,97.93,0,0,0,69,73.25,98.72,98.72,0,0,0,64.53,85.26Zm23,19.1c-8.19,7.33-13.31,8.11-15.14,8.11a4.69,4.69,0,0,1-2.42-.58c-2.86-1.63-4-7.38-3.09-15a56.07,56.07,0,0,1,1-5.78,99.51,99.51,0,0,0,12.58,2.06,97.17,97.17,0,0,0,8.24,10.08Zm4.57-4.51c-1.8-1.92-3.57-4-5.31-6.23,1.72.08,3.47.12,5.24.12s3.58,0,5.33-.11C95.63,95.85,93.87,97.93,92.09,99.85Zm22.18,12a4.82,4.82,0,0,1-2.48.59c-1.82,0-7-.8-15.16-8.1l-1.17-1.07a98.44,98.44,0,0,0,8.15-10,97,97,0,0,0,12.66-2.06c.44,1.94.79,3.84,1,5.67C118.27,104.42,117.12,110.18,114.27,111.81Zm10.8-28.44c-1.71.7-3.52,1.35-5.44,1.93a98.54,98.54,0,0,0-4.57-12.14,98.1,98.1,0,0,0,4.49-12,58.75,58.75,0,0,1,5.54,2c7.09,3,11.5,6.85,11.49,10.14S132.17,80.42,125.07,83.37ZM92,82.39a9.18,9.18,0,1,0-9.17-9.19A9.17,9.17,0,0,0,92,82.39ZM31,17.88V128.53H153.07V17.88ZM148.3,123.77H35.78V22.65H148.3Zm-85-33.9c-3,12.68-1.7,22.75,4.28,26.16a9.41,9.41,0,0,0,4.78,1.2c5.58,0,12.62-3.89,19.73-10.62,7.1,6.68,14.12,10.55,19.69,10.55a9.59,9.59,0,0,0,4.86-1.22c5.94-3.42,7.16-13.44,4.21-26,12.41-3.72,20.48-9.78,20.49-16.63s-8.11-13-20.58-16.73c3-12.67,1.69-22.75-4.28-26.16a9.55,9.55,0,0,0-4.79-1.2c-5.57,0-12.61,3.89-19.72,10.62-7.11-6.68-14.13-10.55-19.69-10.55a9.46,9.46,0,0,0-4.86,1.22c-5.94,3.42-7.17,13.44-4.21,26.05-12.41,3.71-20.48,9.77-20.5,16.63S50.84,86.13,63.31,89.87Zm24.21,14.49c-8.19,7.33-13.31,8.11-15.14,8.11a4.69,4.69,0,0,1-2.42-.58c-2.86-1.63-4-7.38-3.09-15a56.07,56.07,0,0,1,1-5.78,99.51,99.51,0,0,0,12.58,2.06,97.17,97.17,0,0,0,8.24,10.08Zm24.79-36.89c-.79-1.5-1.61-3-2.48-4.51s-1.8-3-2.72-4.49c2.72.38,5.35.87,7.84,1.45C114.21,62.39,113.33,64.92,112.31,67.47Zm2.72,19c-2.52.59-5.17,1.07-7.92,1.45q1.41-2.22,2.76-4.58t2.46-4.53C113.37,81.46,114.28,84,115,86.52Zm-5.21-13.35c-1.23,2.62-2.6,5.25-4.08,7.85s-3.11,5.18-4.77,7.62c-2.91.23-5.91.34-9,.34s-6-.13-8.89-.36c-1.66-2.42-3.26-4.94-4.76-7.55s-2.87-5.22-4.12-7.83q1.86-3.93,4.09-7.86c1.5-2.62,3.11-5.17,4.77-7.61,2.91-.22,5.91-.34,9-.33s6,.12,8.89.35c1.66,2.42,3.25,5,4.75,7.55S108.58,70.56,109.82,73.17ZM77,88c-2.71-.39-5.34-.88-7.84-1.46.74-2.46,1.63-5,2.65-7.55.78,1.5,1.61,3,2.47,4.51S76,86.49,77,88ZM74.21,63c-.87,1.5-1.69,3-2.46,4.52Q70.18,63.65,69,59.9c2.53-.59,5.18-1.08,7.93-1.46C76,59.92,75.11,61.45,74.21,63ZM92.09,99.85c-1.8-1.92-3.57-4-5.31-6.23,1.72.08,3.47.12,5.24.12s3.58,0,5.33-.11C95.63,95.85,93.87,97.93,92.09,99.85Zm22.18,12a4.82,4.82,0,0,1-2.48.59c-1.82,0-7-.8-15.16-8.1l-1.17-1.07a98.44,98.44,0,0,0,8.15-10,97,97,0,0,0,12.66-2.06c.44,1.94.79,3.84,1,5.67C118.27,104.42,117.12,110.18,114.27,111.81Zm5.28-50.66a58.75,58.75,0,0,1,5.54,2c7.09,3,11.5,6.85,11.49,10.14s-4.41,7.16-11.51,10.11c-1.71.7-3.52,1.35-5.44,1.93a98.54,98.54,0,0,0-4.57-12.14A98.1,98.1,0,0,0,119.55,61.15Zm-23-19.09c8.19-7.33,13.31-8.12,15.13-8.12h0a4.71,4.71,0,0,1,2.42.58c2.86,1.63,4,7.38,3.09,15a56.73,56.73,0,0,1-1,5.79,97.7,97.7,0,0,0-12.58-2.07,98.47,98.47,0,0,0-8.24-10.08C95.75,42.79,96.15,42.42,96.56,42.06ZM92,46.56c1.8,1.92,3.57,4,5.3,6.23-1.71-.07-3.46-.12-5.23-.12s-3.58,0-5.33.12C88.45,50.57,90.2,48.48,92,46.56Zm-22.18-12A4.82,4.82,0,0,1,72.29,34a13.11,13.11,0,0,1,5.19,1.31,39.07,39.07,0,0,1,10,6.78l1.17,1.07a98.49,98.49,0,0,0-8.16,10,98.88,98.88,0,0,0-12.65,2.06c-.44-1.94-.8-3.84-1-5.67C65.8,42,67,36.24,69.81,34.6ZM59,63.05a57.63,57.63,0,0,1,5.44-1.94A97.93,97.93,0,0,0,69,73.25a98.72,98.72,0,0,0-4.49,12,58.75,58.75,0,0,1-5.54-2c-7.1-3-11.5-6.85-11.5-10.14S51.91,66,59,63.05Zm33,1a9.18,9.18,0,1,0,9.17,9.19A9.17,9.17,0,0,0,92,64Zm0,0a9.18,9.18,0,1,0,9.17,9.19A9.17,9.17,0,0,0,92,64Zm0,0a9.18,9.18,0,1,0,9.17,9.19A9.17,9.17,0,0,0,92,64Zm49.35,9.24c0-6.89-8.11-13-20.58-16.73,3-12.67,1.69-22.75-4.28-26.16a9.55,9.55,0,0,0-4.79-1.2c-5.57,0-12.61,3.89-19.72,10.62-7.11-6.68-14.13-10.55-19.69-10.55a9.46,9.46,0,0,0-4.86,1.22c-5.94,3.42-7.17,13.44-4.21,26.05-12.41,3.71-20.48,9.77-20.5,16.63s8.12,13,20.59,16.72c-3,12.68-1.7,22.75,4.28,26.16a9.41,9.41,0,0,0,4.78,1.2c5.58,0,12.62-3.89,19.73-10.62,7.1,6.68,14.12,10.55,19.69,10.55a9.59,9.59,0,0,0,4.86-1.22c5.94-3.42,7.16-13.44,4.21-26C133.27,86.18,141.34,80.12,141.35,73.27ZM96.56,42.06c8.19-7.33,13.31-8.12,15.13-8.12h0a4.71,4.71,0,0,1,2.42.58c2.86,1.63,4,7.38,3.09,15a56.73,56.73,0,0,1-1,5.79,97.7,97.7,0,0,0-12.58-2.07,98.47,98.47,0,0,0-8.24-10.08C95.75,42.79,96.15,42.42,96.56,42.06ZM71.77,78.94c.78,1.5,1.61,3,2.47,4.51S76,86.49,77,88c-2.71-.39-5.34-.88-7.84-1.46C69.86,84,70.75,81.5,71.77,78.94ZM69,59.9c2.53-.59,5.18-1.08,7.93-1.46-1,1.48-1.86,3-2.76,4.59s-1.69,3-2.46,4.52Q70.18,63.65,69,59.9Zm5.21,13.34q1.86-3.93,4.09-7.86c1.5-2.62,3.11-5.17,4.77-7.61,2.91-.22,5.91-.34,9-.33s6,.12,8.89.35c1.66,2.42,3.25,5,4.75,7.55s2.88,5.22,4.12,7.83c-1.23,2.62-2.6,5.25-4.08,7.85s-3.11,5.18-4.77,7.62c-2.91.23-5.91.34-9,.34s-6-.13-8.89-.36c-1.66-2.42-3.26-4.94-4.76-7.55S75.5,75.85,74.25,73.24Zm32.86-14.77c2.72.38,5.35.87,7.84,1.45-.74,2.47-1.62,5-2.64,7.55-.79-1.5-1.61-3-2.48-4.51S108,59.93,107.11,58.47Zm2.76,24.92q1.29-2.27,2.46-4.53c1,2.6,2,5.16,2.7,7.66-2.52.59-5.17,1.07-7.92,1.45Q108.52,85.75,109.87,83.39ZM92,46.56c1.8,1.92,3.57,4,5.3,6.23-1.71-.07-3.46-.12-5.23-.12s-3.58,0-5.33.12C88.45,50.57,90.2,48.48,92,46.56Zm-22.18-12A4.82,4.82,0,0,1,72.29,34a13.11,13.11,0,0,1,5.19,1.31,39.07,39.07,0,0,1,10,6.78l1.17,1.07a98.49,98.49,0,0,0-8.16,10,98.88,98.88,0,0,0-12.65,2.06c-.44-1.94-.8-3.84-1-5.67C65.8,42,67,36.24,69.81,34.6ZM64.53,85.26a58.75,58.75,0,0,1-5.54-2c-7.1-3-11.5-6.85-11.5-10.14S51.91,66,59,63.05a57.63,57.63,0,0,1,5.44-1.94A97.93,97.93,0,0,0,69,73.25,98.72,98.72,0,0,0,64.53,85.26Zm23,19.1c-8.19,7.33-13.31,8.11-15.14,8.11a4.69,4.69,0,0,1-2.42-.58c-2.86-1.63-4-7.38-3.09-15a56.07,56.07,0,0,1,1-5.78,99.51,99.51,0,0,0,12.58,2.06,97.17,97.17,0,0,0,8.24,10.08Zm4.57-4.51c-1.8-1.92-3.57-4-5.31-6.23,1.72.08,3.47.12,5.24.12s3.58,0,5.33-.11C95.63,95.85,93.87,97.93,92.09,99.85Zm22.18,12a4.82,4.82,0,0,1-2.48.59c-1.82,0-7-.8-15.16-8.1l-1.17-1.07a98.44,98.44,0,0,0,8.15-10,97,97,0,0,0,12.66-2.06c.44,1.94.79,3.84,1,5.67C118.27,104.42,117.12,110.18,114.27,111.81Zm10.8-28.44c-1.71.7-3.52,1.35-5.44,1.93a98.54,98.54,0,0,0-4.57-12.14,98.1,98.1,0,0,0,4.49-12,58.75,58.75,0,0,1,5.54,2c7.09,3,11.5,6.85,11.49,10.14S132.17,80.42,125.07,83.37ZM92,82.39a9.18,9.18,0,1,0-9.17-9.19A9.17,9.17,0,0,0,92,82.39Zm-69.32,54.5V26.2L17.89,31V141.66H139.94l4.78-4.77Z"/></svg>


--------------------------------------------------------------------------------
/ipynb-viewer/src/serviceWorker.js:
--------------------------------------------------------------------------------
  1 | // This optional code is used to register a service worker.
  2 | // register() is not called by default.
  3 | 
  4 | // This lets the app load faster on subsequent visits in production, and gives
  5 | // it offline capabilities. However, it also means that developers (and users)
  6 | // will only see deployed updates on subsequent visits to a page, after all the
  7 | // existing tabs open on the page have been closed, since previously cached
  8 | // resources are updated in the background.
  9 | 
 10 | // To learn more about the benefits of this model and instructions on how to
 11 | // opt-in, read https://bit.ly/CRA-PWA
 12 | 
 13 | const isLocalhost = Boolean(
 14 |   window.location.hostname === 'localhost' ||
 15 |     // [::1] is the IPv6 localhost address.
 16 |     window.location.hostname === '[::1]' ||
 17 |     // 127.0.0.1/8 is considered localhost for IPv4.
 18 |     window.location.hostname.match(
 19 |       /^127(?:\.(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)){3}$/
 20 |     )
 21 | );
 22 | 
 23 | export function register(config) {
 24 |   if (process.env.NODE_ENV === 'production' && 'serviceWorker' in navigator) {
 25 |     // The URL constructor is available in all browsers that support SW.
 26 |     const publicUrl = new URL(process.env.PUBLIC_URL, window.location.href);
 27 |     if (publicUrl.origin !== window.location.origin) {
 28 |       // Our service worker won't work if PUBLIC_URL is on a different origin
 29 |       // from what our page is served on. This might happen if a CDN is used to
 30 |       // serve assets; see https://github.com/facebook/create-react-app/issues/2374
 31 |       return;
 32 |     }
 33 | 
 34 |     window.addEventListener('load', () => {
 35 |       const swUrl = `${process.env.PUBLIC_URL}/service-worker.js`;
 36 | 
 37 |       if (isLocalhost) {
 38 |         // This is running on localhost. Let's check if a service worker still exists or not.
 39 |         checkValidServiceWorker(swUrl, config);
 40 | 
 41 |         // Add some additional logging to localhost, pointing developers to the
 42 |         // service worker/PWA documentation.
 43 |         navigator.serviceWorker.ready.then(() => {
 44 |           console.log(
 45 |             'This web app is being served cache-first by a service ' +
 46 |               'worker. To learn more, visit https://bit.ly/CRA-PWA'
 47 |           );
 48 |         });
 49 |       } else {
 50 |         // Is not localhost. Just register service worker
 51 |         registerValidSW(swUrl, config);
 52 |       }
 53 |     });
 54 |   }
 55 | }
 56 | 
 57 | function registerValidSW(swUrl, config) {
 58 |   navigator.serviceWorker
 59 |     .register(swUrl)
 60 |     .then(registration => {
 61 |       registration.onupdatefound = () => {
 62 |         const installingWorker = registration.installing;
 63 |         if (installingWorker == null) {
 64 |           return;
 65 |         }
 66 |         installingWorker.onstatechange = () => {
 67 |           if (installingWorker.state === 'installed') {
 68 |             if (navigator.serviceWorker.controller) {
 69 |               // At this point, the updated precached content has been fetched,
 70 |               // but the previous service worker will still serve the older
 71 |               // content until all client tabs are closed.
 72 |               console.log(
 73 |                 'New content is available and will be used when all ' +
 74 |                   'tabs for this page are closed. See https://bit.ly/CRA-PWA.'
 75 |               );
 76 | 
 77 |               // Execute callback
 78 |               if (config && config.onUpdate) {
 79 |                 config.onUpdate(registration);
 80 |               }
 81 |             } else {
 82 |               // At this point, everything has been precached.
 83 |               // It's the perfect time to display a
 84 |               // "Content is cached for offline use." message.
 85 |               console.log('Content is cached for offline use.');
 86 | 
 87 |               // Execute callback
 88 |               if (config && config.onSuccess) {
 89 |                 config.onSuccess(registration);
 90 |               }
 91 |             }
 92 |           }
 93 |         };
 94 |       };
 95 |     })
 96 |     .catch(error => {
 97 |       console.error('Error during service worker registration:', error);
 98 |     });
 99 | }
100 | 
101 | function checkValidServiceWorker(swUrl, config) {
102 |   // Check if the service worker can be found. If it can't reload the page.
103 |   fetch(swUrl)
104 |     .then(response => {
105 |       // Ensure service worker exists, and that we really are getting a JS file.
106 |       const contentType = response.headers.get('content-type');
107 |       if (
108 |         response.status === 404 ||
109 |         (contentType != null && contentType.indexOf('javascript') === -1)
110 |       ) {
111 |         // No service worker found. Probably a different app. Reload the page.
112 |         navigator.serviceWorker.ready.then(registration => {
113 |           registration.unregister().then(() => {
114 |             window.location.reload();
115 |           });
116 |         });
117 |       } else {
118 |         // Service worker found. Proceed as normal.
119 |         registerValidSW(swUrl, config);
120 |       }
121 |     })
122 |     .catch(() => {
123 |       console.log(
124 |         'No internet connection found. App is running in offline mode.'
125 |       );
126 |     });
127 | }
128 | 
129 | export function unregister() {
130 |   if ('serviceWorker' in navigator) {
131 |     navigator.serviceWorker.ready.then(registration => {
132 |       registration.unregister();
133 |     });
134 |   }
135 | }
136 | 


--------------------------------------------------------------------------------
/static/JupAsBlogDesk.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/JupAsBlogDesk.png


--------------------------------------------------------------------------------
/static/JupDarkMobile.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/JupDarkMobile.png


--------------------------------------------------------------------------------
/static/LightThemeMobile.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/LightThemeMobile.png


--------------------------------------------------------------------------------
/static/SupportCoverImages.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/SupportCoverImages.png


--------------------------------------------------------------------------------
/static/desktop_notebook.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/desktop_notebook.png


--------------------------------------------------------------------------------
/static/markdown_notebook.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/markdown_notebook.png


--------------------------------------------------------------------------------
/static/notebook_mobile.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shvbsle/React-Jupyter-Viewer/048288c61a6670d6eaebe09d30fb32942a0ee965/static/notebook_mobile.png


--------------------------------------------------------------------------------