关于Python环境的
使用Anaconda2管理Python环境
创建Python环境
localhost:template mac$ conda create --name python36 python=3.6
Solving environment: done
## Package Plan ##
environment location: /anaconda2/envs/python36
added / updated specs:
- python=3.6
.........查看Python环境 conda info -e
localhost:template mac$ conda info -e
# conda environments:
#
face_recognition /Users/mac/.conda/envs/face_recognition
test2 /Users/mac/.conda/envs/test2
base * /anaconda2
python27 /anaconda2/envs/python27
python36 /anaconda2/envs/python36激活Python环境
activate python34 # for Windows
source activate python34 # for Linux & Mac效果如下：
localhost:template mac$ source activate python36
(python36) localhost:template mac$查看当前环境安装的库 conda list
在当前环境安装库 conda install lib_name
(python36) localhost:template mac$ conda install requests
Solving environment: done
## Package Plan ##
environment location: /anaconda2/envs/python36
added / updated specs:
- requests
The following packages will be downloaded:
package | build
---------------------------|-----------------
requests-2.14.2 | py36_0 720 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
The following NEW packages will be INSTALLED:
requests: 2.14.2-py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
Proceed ([y]/n)? y
Downloading and Extracting Packages
requests-2.14.2 | 720 KB | ############################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
退出当前环境
deactivate python34 # for Windows
source deactivate python34 # for Linux & Mac关于docker
安装不提了，直接写怎么使用官方complete
下载环境 git clone
部署环境
举例，终端进入deploy文件夹，输入docker-compose up -d
localhost:ciscn2018-template mac$ cd CISCN-2018-web-for-players/
localhost:CISCN-2018-web-for-players mac$ ls
README.md checker template
localhost:CISCN-2018-web-for-players mac$ cd template/
localhost:template mac$ ls
README.md deploy writeup.md
localhost:template mac$ cd deploy/
localhost:deploy mac$ ls
Dockerfile requirement.pip www
docker-compose.yml start_sshop.sh
localhost:deploy mac$ docker-compose up -d
Starting deploy_sshop_1 ... done
查看容器状态 docker ps
localhost:deploy mac$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
036006fd2513 deploy_sshop "/sbin/my_init" 7 hours ago Up 9 minutes 0.0.0.0:22->22/tcp, 0.0.0.0:80->8233/tcp deploy_sshop_1打开容器bash
docker run -t -i deploy_sshop /bin/bash
//docker run 运行
// -t -i 后台，打开读写
//deploy_sshop 容器名称或者ID
///bin/bash 应用bash文件传输
docker cp <containerId>:/file/path/within/container /host/path/target 退出容器 exit
直接用。
checker.py 使用
运行环境Python2*，输入参数四个
python ./checker.py 0.0.0.0 80 _xrsf