pkgsrc/math/R-stringdist/distinfo

$NetBSD: distinfo,v 1.1 2020/02/10 14:21:00 mef Exp $

SHA1 (R/stringdist_0.9.5.5.tar.gz) = 014112bce2f49d915cecb5bf3156adb66cac62fb
RMD160 (R/stringdist_0.9.5.5.tar.gz) = 173983e049b7fe014d942dc9f127b215fbe92d08
SHA512 (R/stringdist_0.9.5.5.tar.gz) = c02c4846bea3e6de5bd67fbf0ed4cbd690b4def9b8684433b17e5140d1d18f36da82014c013f7533730ba2decf796112126343bd397ab4971014f713289ef0ca
Size (R/stringdist_0.9.5.5.tar.gz) = 831912 bytes
(math/R-stringdist) import R-stringdist-0.9.5.5 Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well. 2020-02-10 15:21:00 +01:00			$NetBSD: distinfo,v 1.1 2020/02/10 14:21:00 mef Exp $

			`SHA1 (R/stringdist_0.9.5.5.tar.gz) = 014112bce2f49d915cecb5bf3156adb66cac62fb`
			`RMD160 (R/stringdist_0.9.5.5.tar.gz) = 173983e049b7fe014d942dc9f127b215fbe92d08`
			`SHA512 (R/stringdist_0.9.5.5.tar.gz) = c02c4846bea3e6de5bd67fbf0ed4cbd690b4def9b8684433b17e5140d1d18f36da82014c013f7533730ba2decf796112126343bd397ab4971014f713289ef0ca`
			`Size (R/stringdist_0.9.5.5.tar.gz) = 831912 bytes`