How to Install and Uninstall ocaml-ocp-indent.x86_64 Package on Fedora 38

Last updated: September 26,2024

1. Install "ocaml-ocp-indent.x86_64" package

Here is a brief guide to show you how to install ocaml-ocp-indent.x86_64 on Fedora 38


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                ocaml-ocp-indent.x86_64
            
                    
    
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2. Uninstall "ocaml-ocp-indent.x86_64" package

Here is a brief guide to show you how to uninstall ocaml-ocp-indent.x86_64 on Fedora 38:


    
        
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                sudo dnf remove
            
                        
                ocaml-ocp-indent.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
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3. Information about the ocaml-ocp-indent.x86_64 package on Fedora 38

Last metadata expiration check: 3:05:12 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : ocaml-ocp-indent
Version : 1.8.2
Release : 17.fc38
Architecture : x86_64
Size : 1.4 M
Source : ocaml-ocp-indent-1.8.2-17.fc38.src.rpm
Repository : fedora
Summary : A simple tool to indent OCaml programs
URL : https://www.typerex.org/ocp-indent.html
License : LGPL-2.1-only WITH OCaml-LGPL-linking-exception AND QPL-1.0
Description : Ocp-indent is a simple tool and library to indent OCaml code. It is
: based on an approximate, tolerant OCaml parser and a simple stack
: machine; this is much faster and more reliable than using regexps.
: Presets and configuration options are available, with the possibility to
: set them project-wide. Ocp-indent supports most common syntax
: extensions, and is extensible for others.
:
: Includes:
:
: - An indentor program, callable from the command-line or from within
: editors
: - Bindings for popular editors
: - A library that can be directly used by editor writers, or just for
: fault-tolerant/approximate parsing.