How to Install and Uninstall libghc-vector-algorithms-dev Package on Debian 12 (Bookworm)

Last updated: November 26,2024

You can also install and uninstall the libghc-vector-algorithms-dev on the following distributions in the same way, as they are all based on the Debian system

MX Linux 23
SparkyLinux

1. Install "libghc-vector-algorithms-dev" package

In this section, we are going to explain the necessary steps to install libghc-vector-algorithms-dev on Debian 12 (Bookworm)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libghc-vector-algorithms-dev
            
                    
    
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2. Uninstall "libghc-vector-algorithms-dev" package

In this section, we are going to explain the necessary steps to uninstall libghc-vector-algorithms-dev on Debian 12 (Bookworm):


    
        
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                sudo apt remove
            
                        
                libghc-vector-algorithms-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libghc-vector-algorithms-dev package on Debian 12 (Bookworm)

Package: libghc-vector-algorithms-dev
Source: haskell-vector-algorithms (0.8.0.4-1)
Version: 0.8.0.4-1+b1
Installed-Size: 5013
Maintainer: Debian Haskell Group
Architecture: amd64
Provides: libghc-vector-algorithms-dev-0.8.0.4-682f9
Depends: libghc-base-dev-4.15.1.0-6a406, libghc-bytestring-dev-0.10.12.1-ced9a, libghc-primitive-dev-0.7.3.0-1f691, libghc-vector-dev-0.12.3.1-f377c, libc6 (>= 2.2.5), libgmp10 (>= 2:6.2.1+dfsg1)
Description: efficient algorithms for vector arrays
Description-md5: 03f0bd20e5bcef792f4cb758885d401d
Homepage: https://github.com/erikd/vector-algorithms/
Ghc-Package: vector-algorithms-0.8.0.4-4RhlwFDECJXGo0DpH2Dmoe
Section: haskell
Priority: optional
Filename: pool/main/h/haskell-vector-algorithms/libghc-vector-algorithms-dev_0.8.0.4-1+b1_amd64.deb
Size: 317820
MD5sum: 4df4ba357752e102c9d514c69f14e02a
SHA256: ed94d664f0505e470db8728213450688d2569bb4373dac1c69e4806cd3690a31