shell脚本学习总结10--系统函数调用
1.打印出彩色的格式
[root@new sbin]# cat demo.sh
#/bin/bash
. /etc/init.d/functions
read -p "Pleas input your anwser[yes/no]: " an
if [[ $an = yes ]]
then
action "The answer is true" /bin/true
else
action "Then answer is false" /bin/false
fi
输出:
aaarticlea/png;base64,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" 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