How to Install and Uninstall libdatrie-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: September 20,2024

1. Install "libdatrie-dev" package

This is a short guide on how to install libdatrie-dev on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install libdatrie-dev

2. Uninstall "libdatrie-dev" package

Please follow the instructions below to uninstall libdatrie-dev on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove libdatrie-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libdatrie-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libdatrie-dev
Priority: optional
Section: libdevel
Installed-Size: 81
Maintainer: Ubuntu Developers
Original-Maintainer: Theppitak Karoonboonyanan
Architecture: amd64
Source: libdatrie
Version: 0.2.10-2
Depends: libdatrie1 (= 0.2.10-2)
Pre-Depends: dpkg (>= 1.17.13)
Suggests: libdatrie-doc (= 0.2.10-2)
Filename: pool/main/libd/libdatrie/libdatrie-dev_0.2.10-2_amd64.deb
Size: 17386
MD5sum: 4a5974a5be7c7e9a80bd25ca486e62cf
SHA1: 11d97a59aea99063c90769af6049c2e197cf7c73
SHA256: 8d0654a4d30a86a227d3a27283353f9461644d6bcf45e5504b8ac28c7b0a518b
Description-en: Development files for double-array trie library
Trie is a kind of digital search tree, an efficient indexing method with
O(1) time complexity for searching. Comparably as efficient as hashing,
trie also provides flexibility on incremental matching and key spelling
manipulation. This makes it ideal for lexical analyzers, as well as
spelling dictionaries.
.
This library is an implementation of double-array structure for representing
trie, as proposed by Junichi Aoe. The details of the implementation can be
found at http://linux.thai.net/~thep/datrie/datrie.html
.
This package contains the development libraries, header files and manpages
you need to develop your programs using the datrie library.
Description-md5: aba60c2eb6bbe73331e039cccc12d3da
Multi-Arch: same
Homepage: http://linux.thai.net/projects/libthai
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 9m