How to Install and Uninstall libmmmulti-dev Package on Kali Linux

Last updated: May 15,2024

1. Install "libmmmulti-dev" package

This tutorial shows how to install libmmmulti-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libmmmulti-dev
            
                    
    
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2. Uninstall "libmmmulti-dev" package

Please follow the guidance below to uninstall libmmmulti-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libmmmulti-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libmmmulti-dev package on Kali Linux

Package: libmmmulti-dev
Source: libmmmulti
Version: 0.1-3
Installed-Size: 54
Maintainer: Debian Med Packaging Team
Architecture: all
Size: 10304
SHA256: e03b145bbd68a19dc2097972a23d7857cd1d15b29b52ed8d0f6822aacc47616f
SHA1: 7748fb7b466aab92865fce3c4fab9d55ce2af59e
MD5sum: 06896b4c5f07c57e884bbaea0c8da89a
Description: header only library for mmmulti
Sometimes you have a lot of plain-old data, but you need random access
to it. These header-only classes combine memory-mapped files with
high-performance parallel sorting and appropriate indexing strategies
to support very large (>memory but interval trees.
.
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:
Multi-Arch: foreign
Homepage: https://github.com/ekg/mmmulti
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/libm/libmmmulti/libmmmulti-dev_0.1-3_all.deb