The most reliable manner is to install this reposititory to a local Linux/Mac with conda based on environment.yml
provided. But if you do not have a Linux and/or Conda environment, you can
still use the cloud version below.
Install Docker-desktop, and start it on the back. Launched Windows PowerShell (The blue one) and have navigate to a folder where you want to do docking. Run:
docker pull qutesun/labodock_binder
docker run -p 8888:8888 -v ${PWD}:/home/jovyan/work qutesun/wemd
Your PowerShell terminal will output some crazy lines that you probably can't read properly, among which there will be a token pin, just copy it.
Now go to your default browser, and try
localhost:8888
your browser will start a Jupyter Notebook interface and ask for a token pin, which you have coped from the backend in the PowerShell interface.
After having entered the browser interface, double click wedock_win.ipynb
, and you are ready to do the docking just as if you using the Binder badge above.
登陆百度飞浆,在公开项目中搜索本仓库名称,复刻到本人名下,点击启动环境运行,在命令行内生成新环境后,开始在笔记本内完成对接。受制于百度平台的维护策略,在项目关闭后我们创建的环境将被清除,下次启动时请再次安装。
![image](https://private-user-images.githubusercontent.com/75652473/285466688-d0333255-36f2-46da-a105-5290bd91a063.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Mzg5NTc5NDIsIm5iZiI6MTczODk1NzY0MiwicGF0aCI6Ii83NTY1MjQ3My8yODU0NjY2ODgtZDAzMzMyNTUtMzZmMi00NmRhLWExMDUtNTI5MGJkOTFhMDYzLnBuZz9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNTAyMDclMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjUwMjA3VDE5NDcyMlomWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPWEzNTJjNWNjMmY5OTMzYTViNjQyMjc5MWVlYzA4MGQyMDY0Nzk5Zjg1MzcyYmJhNjk5ODhiODMwMzMxMzZmYWUmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0In0.U_GgkRpq77G4M0V7Vk-J-5aWHXTbM9MBjugeGmMebQs)