How To Install "ml-burg" Package on Ubuntu
Quick Install Instructions of ml-burg on Ubuntu Server. It’s Super Easy! simply click on Copy button to copy the command and paste into your command line terminal using built-in APT package manager.
See below for quick step by step instructions of SSH commands, Copy/Paste to avoid miss-spelling or accidently installing a different package.
See below for quick step by step instructions of SSH commands, Copy/Paste to avoid miss-spelling or accidently installing a different package.
Quick Install Steps:
Step 1
sudo apt-get update -y
Step 2
sudo apt-get install -y ml-burg
Step 3
Check the system logs to confirm that there are no related errors.
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Execute the commands above step by step.
You can simply hit the copy button to copy the command and paste into the command line interface.
Note: -y flag means to assume yes and silently install, without asking you questions in most cases.
Note: -y flag means to assume yes and silently install, without asking you questions in most cases.
Code generator generator for Standard ML
ml-burg generates a Standard ML program to perform bottom-up rewriting of an input tree. Cost information associated with each rewrite rule is used to derive the minimum rewrite cost for the entire tree. A successful reduction corresponds to rewriting the input tree to a special non-terminal symbol called the "start" non-terminal. Upon successful reduction, facilities are provided to walk the tree emitting semantic actions corresponding to the rules that matched. Code generator generator for Standard ML
ml-burg generates a Standard ML program to perform bottom-up rewriting of an input tree. Cost information associated with each rewrite rule is used to derive the minimum rewrite cost for the entire tree. A successful reduction corresponds to rewriting the input tree to a special non-terminal symbol called the "start" non-terminal. Upon successful reduction, facilities are provided to walk the tree emitting semantic actions corresponding to the rules that matched.
ml-burg generates a Standard ML program to perform bottom-up rewriting of an input tree. Cost information associated with each rewrite rule is used to derive the minimum rewrite cost for the entire tree. A successful reduction corresponds to rewriting the input tree to a special non-terminal symbol called the "start" non-terminal. Upon successful reduction, facilities are provided to walk the tree emitting semantic actions corresponding to the rules that matched. Code generator generator for Standard ML
ml-burg generates a Standard ML program to perform bottom-up rewriting of an input tree. Cost information associated with each rewrite rule is used to derive the minimum rewrite cost for the entire tree. A successful reduction corresponds to rewriting the input tree to a special non-terminal symbol called the "start" non-terminal. Upon successful reduction, facilities are provided to walk the tree emitting semantic actions corresponding to the rules that matched.
Detailed Instructions:
Step 1
Run update command to update package repositories and get latest package information.
sudo apt-get update -y
Step 2
Run the install command with -y flag to quickly install the packages and dependencies.
sudo apt-get install -y ml-burg
Step 3
Check the system logs to confirm that there are no related errors.
You can use
ZoomAdmin
to check the logs, manager servers, host multiple websites and apps on your servers and more. The apps run in docker containers, to learn more
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.