How to Install and Uninstall golang-github-seiflotfy-cuckoofilter-dev Package on Kali Linux

Last updated: May 08,2024

1. Install "golang-github-seiflotfy-cuckoofilter-dev" package

Please follow the guidelines below to install golang-github-seiflotfy-cuckoofilter-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                golang-github-seiflotfy-cuckoofilter-dev
            
                    
    
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2. Uninstall "golang-github-seiflotfy-cuckoofilter-dev" package

Here is a brief guide to show you how to uninstall golang-github-seiflotfy-cuckoofilter-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                golang-github-seiflotfy-cuckoofilter-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the golang-github-seiflotfy-cuckoofilter-dev package on Kali Linux

Package: golang-github-seiflotfy-cuckoofilter-dev
Source: golang-github-seiflotfy-cuckoofilter
Version: 0.0~git20201222.bc60055-2
Installed-Size: 41
Maintainer: Debian Go Packaging Team
Architecture: all
Depends: golang-github-dgryski-go-metro-dev, golang-github-leemcloughlin-gofarmhash-dev
Size: 8960
SHA256: 69152fd34fd07bb49cd9e1fdbae677bf0d3e1648ff284a03561948c2d3045485
SHA1: ffc19118893f3ca766be0072f4589e217b4ecb9e
MD5sum: 8d8569dfbaaa01b1bc67822f8afb9911
Description: Bloom filter replacement using cuckoo hashing
Cuckoo filter is a Bloom filter replacement for approximated
set-membership queries. While Bloom filters are well-known space-efficient
data structures to serve queries like "if item x is in a set?", they do
not support deletion. Their variances to enable deletion (like counting
Bloom filters) usually require much more space.
.
Cuckoo ﬁlters provide the ﬂexibility to add and remove items
dynamically. A cuckoo filter is based on cuckoo hashing (and therefore
named as cuckoo filter). It is essentially a cuckoo hash table storing
each key's fingerprint. Cuckoo hash tables can be highly compact, thus
a cuckoo filter could use less space than conventional Bloom ﬁlters,
for applications that require low false positive rates (< 3%).
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/seiflotfy/cuckoofilter
Section: golang
Priority: optional
Filename: pool/main/g/golang-github-seiflotfy-cuckoofilter/golang-github-seiflotfy-cuckoofilter-dev_0.0~git20201222.bc60055-2_all.deb