commit | 81703252207003b93c33113015e94d4a2aef4523 | [log] [tgz] |
---|---|---|
author | android-build-team Robot <android-build-team-robot@google.com> | Thu Jan 14 00:00:53 2021 +0000 |
committer | android-build-team Robot <android-build-team-robot@google.com> | Thu Jan 14 00:00:53 2021 +0000 |
tree | 28c1d5a3e90a16a7f5377dff7b7e627daa32d389 | |
parent | a20471031e4694bfa083482d0465f9e28c93e454 [diff] | |
parent | ae3315be4a1907aa56366e42538f37256c7eaaa2 [diff] |
Snap for 7080740 from ae3315be4a1907aa56366e42538f37256c7eaaa2 to mainline-captiveportallogin-release Change-Id: I23ecd46d38b67aeecad813ebd9e728f224e5bfb5
marisa-trie
MARISA: Matching Algorithm with Recursively Implemented StorAge
0.2.6
Matching Algorithm with Recursively Implemented StorAge (MARISA) is a static and space-efficient trie data structure. And libmarisa is a C++ library to provide an implementation of MARISA. Also, the package of libmarisa contains a set of command line tools for building and operating a MARISA-based dictionary.
A MARISA-based dictionary supports not only lookup but also reverse lookup, common prefix search and predictive search.
The biggest advantage of libmarisa is that its dictionary size is considerably more compact than others. See below for the dictionary size of other implementations.
Implementation | Size (bytes) | Remarks |
---|---|---|
darts-clone | 376,613,888 | Compacted double-array trie |
tx-trie | 127,727,058 | LOUDS-based trie |
marisa-trie | 50,753,560 | MARISA trie |
You can get the latest version via git clone
. Then, you can generate a configure
script via autoreconf -i
. After that, you can build and install libmarisa and its command line tools via configure
and make
. For details, see also documentation in docs
.
$ git clone https://github.com/s-yata/marisa-trie.git $ cd marisa-trie $ autoreconf -i $ ./configure --enable-native-code $ make $ make install