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dev-libs/libdatrie: Double-Array Trie Library
Package-Manager: Portage-3.0.20, Repoman-3.0.3 Signed-off-by: Huang Rui <vowstar@gmail.com>
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dev-libs/libdatrie/Manifest
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dev-libs/libdatrie/Manifest
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DIST libdatrie-0.2.13.tar.gz 109963 BLAKE2B e4314a8ba78067963fdc3dc948238fda2ef4b1692fb4c5213ad4f1d082d0393bccc2c15d686e7e06d2d264c56e93048461e481e0807c4996d5d395e2ed6f58d4 SHA512 38f5a3ee1f3ca0f0601a5fcfeec3892cb34857d4b4720b8e018ca1beb6520c4c10af3bd2f0e4d64367cb256e8e2bca4d0a59b1c81fb36782613d2c258b64df59
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dev-libs/libdatrie/libdatrie-0.2.13.ebuild
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dev-libs/libdatrie/libdatrie-0.2.13.ebuild
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# Copyright 1999-2021 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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inherit autotools
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DESCRIPTION="Double-Array Trie Library"
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HOMEPAGE="https://github.com/tlwg/libdatrie"
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if [[ ${PV} == "9999" ]] ; then
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inherit git-r3
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EGIT_REPO_URI="https://github.com/tlwg/${PN}.git"
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else
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SRC_URI="https://github.com/tlwg/${PN}/archive/v${PV}.tar.gz -> ${P}.tar.gz"
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KEYWORDS="~amd64 ~arm ~arm64 ~riscv ~x86"
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fi
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LICENSE="LGPL-2.1"
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SLOT="0"
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RDEPEND=""
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DEPEND="${RDEPEND}"
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BDEPEND="dev-vcs/git"
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src_prepare() {
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default
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# Fixed version if in non git project
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echo ${PV} > VERSION
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# From upstreams autogen.sh, to make it utilize the autotools eclass
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# Here translate the autogen.sh, equivalent to the following code
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# > sh autogen.sh
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eautoheader
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_elibtoolize --force
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eaclocal
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eautomake --add-missing
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# Not allow git-version-gen does refresh
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eautoconf
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}
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dev-libs/libdatrie/metadata.xml
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dev-libs/libdatrie/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="person">
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<email>vowstar@gmail.com</email>
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<name>Huang Rui</name>
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</maintainer>
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<upstream>
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<remote-id type="github">tlwg/libdatrie</remote-id>
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</upstream>
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<longdescription lang="en">
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This is an implementation of double-array structure for representing trie,
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as proposed by Junichi Aoe.
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Trie is a kind of digital search tree, an efficient indexing method in which
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search time is independent of database size. It only takes O(m) search time,
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where m is the length of the search string. Comparably as efficient as hashing,
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trie also provides flexibility on incremental matching and key spelling
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manipulation. This makes it ideal for lexical analyzers, as well as spelling
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dictionaries.
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</longdescription>
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</pkgmetadata>
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