How to Install and Uninstall golang-github-retailnext-hllpp-dev Package on Kali Linux
Last updated: January 11,2025
1. Install "golang-github-retailnext-hllpp-dev" package
Please follow the step by step instructions below to install golang-github-retailnext-hllpp-dev on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
golang-github-retailnext-hllpp-dev
Copied
2. Uninstall "golang-github-retailnext-hllpp-dev" package
Please follow the guidelines below to uninstall golang-github-retailnext-hllpp-dev on Kali Linux:
$
sudo apt remove
golang-github-retailnext-hllpp-dev
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the golang-github-retailnext-hllpp-dev package on Kali Linux
Package: golang-github-retailnext-hllpp-dev
Source: golang-github-retailnext-hllpp
Version: 1.0.0+git20170901.6e8b6d3-3
Installed-Size: 133
Maintainer: Debian Go Packaging Team
Architecture: all
Size: 35928
SHA256: 184082514cf762476c8e1424d46a3623a169a668307614dd0dfcb00cb28a987e
SHA1: cfcbf5209700dcc52dd387816c560a727948107b
MD5sum: bbc23eadd3f9cd7b7642dee6fa583fec
Description: HyperLogLog++ cardinality estimation algorithm
hllpp is an implementation of the HyperLogLog++ cardinality estimation
algorithm in go. It optimizes for memory usage over CPU usage. It
implements all the HyperLogLog optimizations introduced in the
HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include:
.
* Marshaling so you can serialize to your datastore,
* Extra space savings by only using 5 bits per register when possible,
* Built-in non-streaming murmur3 implementation for fast hashing of input
data.
.
This is the dev package.
Description-md5:
Homepage: https://github.com/retailnext/hllpp
Section: database
Priority: optional
Filename: pool/main/g/golang-github-retailnext-hllpp/golang-github-retailnext-hllpp-dev_1.0.0+git20170901.6e8b6d3-3_all.deb
Source: golang-github-retailnext-hllpp
Version: 1.0.0+git20170901.6e8b6d3-3
Installed-Size: 133
Maintainer: Debian Go Packaging Team
Architecture: all
Size: 35928
SHA256: 184082514cf762476c8e1424d46a3623a169a668307614dd0dfcb00cb28a987e
SHA1: cfcbf5209700dcc52dd387816c560a727948107b
MD5sum: bbc23eadd3f9cd7b7642dee6fa583fec
Description: HyperLogLog++ cardinality estimation algorithm
hllpp is an implementation of the HyperLogLog++ cardinality estimation
algorithm in go. It optimizes for memory usage over CPU usage. It
implements all the HyperLogLog optimizations introduced in the
HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include:
.
* Marshaling so you can serialize to your datastore,
* Extra space savings by only using 5 bits per register when possible,
* Built-in non-streaming murmur3 implementation for fast hashing of input
data.
.
This is the dev package.
Description-md5:
Homepage: https://github.com/retailnext/hllpp
Section: database
Priority: optional
Filename: pool/main/g/golang-github-retailnext-hllpp/golang-github-retailnext-hllpp-dev_1.0.0+git20170901.6e8b6d3-3_all.deb