How to Install and Uninstall mmmulti Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 11,2024

1. Install "mmmulti" package

This tutorial shows how to install mmmulti on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install mmmulti

2. Uninstall "mmmulti" package

Please follow the guidance below to uninstall mmmulti on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove mmmulti $ sudo apt autoclean && sudo apt autoremove

3. Information about the mmmulti package on Ubuntu 21.10 (Impish Indri)

Package: mmmulti
Architecture: amd64
Version: 0.1-2
Multi-Arch: foreign
Priority: optional
Section: universe/science
Source: libmmmulti
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 664
Depends: libatomic1 (>= 4.8), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libsdsl3 (>= 2.1.1+dfsg), libstdc++6 (>= 9)
Filename: pool/universe/libm/libmmmulti/mmmulti_0.1-2_amd64.deb
Size: 181688
MD5sum: 0235bf7199eddf60f81fe7a9165eb3e0
SHA1: 3608a4d5f77ad47139bbca800c2d7ea7a432bdd2
SHA256: 188885b0ae69f0867000d3f97bae0953426c9ee5c44a425733ed12d9f3fbf197
SHA512: 9d33fd15d5bf0c4c977f545d1d48be4b9969e7ec71d05977833fb82fe29d432ba7bf361c49d3e09d9e2bd9374d36f2d81883fd278851dd0382310ad943c3e913
Homepage: https://github.com/ekg/mmmulti
Description-en: memory backed multimap
This implements a memory backed multimap intended for use where:
* your keys are integers, or can be mapped to dense range of integers,
* the memory mapped file is on fast storage, like an SSD (although
this is not a requirement),
* you have arbitrary values of fixed size (e.g. structs, other POD
types) that can be sorted,
* you don't need dynamic updates of the table,
* and you are likely to run out of memory of you use a traditional
map or hash table,
* but you can handle approximately 1 bit per record in RAM.
.
These may seem to be very specific, but many problems can be mapped into
a dense integer set. mmmulti::map developed first as a data structure
to support seqwish, which uses it to generate precise variation graphs
from pairwise alignments between collections of sequences. As this
multimap forms a key data processing kernel in the algorithm, it can
scale to extremely large problem sizes, limited only by available disk
space. Although performance is much slower than an in-memory structure,
it is virtually guaranteed to be able to complete the compute.
Description-md5: 87b635d3c6d432c9a15b1b2c8469889f