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mirror of https://git.FreeBSD.org/ports.git synced 2024-11-24 00:45:52 +00:00

New port: textproc/py-acora

Acora is 'fgrep' for Python, a fast multi-keyword text search engine.
Based on a set of keywords, it generates a search automaton (DFA) and runs it
over string input, either unicode or bytes.  It is based on the Aho-Corasick
algorithm and an NFA-to-DFA powerset construction.  Acora comes with both a pure
Python implementation and a fast binary module written in Cython.  However, note
that the current construction algorithm is not suitable for really large sets of
keywords (i.e. more than a couple of thousand).

WWW: https://github.com/scoder/acora/
This commit is contained in:
Antoine Brodin 2014-08-23 08:16:57 +00:00
parent fd783fb630
commit 618563f0d3
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=365714
4 changed files with 31 additions and 0 deletions

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@ -1141,6 +1141,7 @@
SUBDIR += py-Chameleon
SUBDIR += py-MarkupSafe
SUBDIR += py-Tempita
SUBDIR += py-acora
SUBDIR += py-asciinema
SUBDIR += py-asv
SUBDIR += py-bugzillatools

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# Created by: antoine@FreeBSD.org
# $FreeBSD$
PORTNAME= acora
PORTVERSION= 1.8
CATEGORIES= textproc devel python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= antoine@FreeBSD.org
COMMENT= Fast multi-keyword search engine for text strings
LICENSE= BSD3CLAUSE
LICENSE_FILE= ${WRKSRC}/LICENSE.txt
USES= python
USE_PYTHON= distutils autoplist
.include <bsd.port.mk>

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SHA256 (acora-1.8.tar.gz) = cfabfbccc31762ae54d05119331051c99837e77e1204c38b9d142f0375c6725b
SIZE (acora-1.8.tar.gz) = 123811

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Acora is 'fgrep' for Python, a fast multi-keyword text search engine.
Based on a set of keywords, it generates a search automaton (DFA) and runs it
over string input, either unicode or bytes. It is based on the Aho-Corasick
algorithm and an NFA-to-DFA powerset construction. Acora comes with both a pure
Python implementation and a fast binary module written in Cython. However, note
that the current construction algorithm is not suitable for really large sets of
keywords (i.e. more than a couple of thousand).
WWW: https://github.com/scoder/acora/