How to Install and Uninstall stp.x86_64 Package on Fedora 34

Last updated: November 23,2024

1. Install "stp.x86_64" package

This tutorial shows how to install stp.x86_64 on Fedora 34


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                stp.x86_64
            
                    
    
    Copied

2. Uninstall "stp.x86_64" package

Please follow the instructions below to uninstall stp.x86_64 on Fedora 34:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                stp.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the stp.x86_64 package on Fedora 34

Last metadata expiration check: 0:13:49 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : stp
Version : 2.3.3
Release : 16.fc34
Architecture : x86_64
Size : 2.0 M
Source : stp-2.3.3-16.fc34.src.rpm
Repository : updates
Summary : Constraint solver/decision procedure
URL : http://stp.github.io/
License : MIT
Description : STP (Simple Theorem Prover) is a constraint solver (also referred to as
: a decision procedure or automated prover) aimed at solving constraints
: generated by program analysis tools, theorem provers, automated bug
: finders, intelligent fuzzers and model checkers. STP has been used in
: many research projects at Stanford, Berkeley, MIT, CMU and other
: universities, as well as companies and government agencies.
:
: The input to STP are formulas over the theory of bit-vectors and arrays
: (this theory captures most expressions from languages like C/C++/Java
: and Verilog), and the output of STP is a single bit of information that
: indicates whether the formula is satisfiable or not. If the input is
: satisfiable, then it also generates a variable assignment to satisfy the
: input formula.
:
: Additional information can be found at:
: http://people.csail.mit.edu/vganesh/STP_files/stp.html