安装cpp内核

1. 安装前的准备

由于该内核编译时需要Python的import模块，而此模块在Python3中被移除，使用importlib.import替代，所以新建conda环境，设置Python=2.7

1 2	conda create -n lab python=2.7 conda activate lab

安装Python-devel gcc cmake gcc-c++

1	yum install gcc gcc-c++ cmake python-devel

安装distro

1	conda install distro

下载源代码并编译c++库

1	python cpt.py --create-dev-env Release --with-workdir=./cling-build/

//此处软件作者使用Debug方式进行编译，但我发现此方式会出现memory exhausted错误

解决办法参考自stackoverflow.com Memory exhausted solution

2. 修改环境变量

1	export PATH=/cling-install-prefix/bin:$PATH

3. 安装cling内核

cd /cling-install-prefix/share/cling/Jupyter/kernel //此处cling-install-prefix文件夹修改为你安装cling准备工具时的src文件夹
conda activate jupyter
pip3 install -e.
jupyter kernelspec install --user cling-cpp11
jupyter kernelspec install --user cling-cpp14
jupyter kernelspec install --user cling-cpp17
jupyter kernelspec install --user cling-cpp1z
jupyter kernelspec list //显示已安装的内核

（非必须）Nginx反向代理设置：

server {
    server\_name DOMAIN IP\_ADDRESS; # 服务器域名和 IP 地址
    listen 80;
    location / {
        proxy\_pass http://127.0.0.1:JUPYTER\_PORT/; # JUPYTER\_PORT 为 Jupyter 运行端口
        proxy\_set\_header X-Real-IP $remote\_addr;
        proxy\_set\_header Host $host;
        proxy\_set\_header X-Forwarded-For $proxy\_add\_x\_forwarded\_for;
        proxy\_http\_version 1.1;
        proxy\_set\_header Upgrade $http\_upgrade;
        proxy\_set\_header Connection "upgrade";
        proxy\_redirect off;
    }
}