How to Install and Uninstall libcpldfs26 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 24,2024

1. Install "libcpldfs26" package

Please follow the guidance below to install libcpldfs26 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcpldfs26
            
                    
    
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2. Uninstall "libcpldfs26" package

Please follow the step by step instructions below to uninstall libcpldfs26 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libcpldfs26
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcpldfs26 package on Ubuntu 20.10 (Groovy Gorilla)

Package: libcpldfs26
Architecture: amd64
Version: 7.1.2+dfsg-1build4
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: cpl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 113
Depends: libc6 (>= 2.14), libcext0 (>= 6.6), libcfitsio9 (>= 3.480~), libcplcore26 (>= 7.1.2), libcplui26 (>= 6.4)
Filename: pool/universe/c/cpl/libcpldfs26_7.1.2+dfsg-1build4_amd64.deb
Size: 34296
MD5sum: 98d7720ab9a7f3605fc542b525e22221
SHA1: a1b8ad821e9ee430a7681dd37932dbeee51cd027
SHA256: c45ca29ad4a8f1ffdbbd4fcf81774421e6e6ecb531e885da0fb7b6e5501c68ee
SHA512: ad5bef2abf2267aa83f3a4f0147f9925bc59f7e8a8b0011bbeb33beaeb2c58bc6ef5d0e52abeacd76dbe3d691066f8da68d2c739f8910dd192787c936c756475
Homepage: https://www.eso.org/sci/software/cpl/
Description-en: CPL functions for Data Flow System compatibility
The functions of this library ensure the compliance of pipeline
products with the Data Flow System (DFS) of the European Southern
Observatory (ESO).
.
The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that
provide a comprehensive, efficient and robust software toolkit. It forms a
basis for the creation of automated astronomical data-reduction tasks (known
as "pipelines").
Description-md5: e3e14547eb70163b7b85a00b2c81d272