head 1.1; access; symbols pkgsrc-2023Q4:1.1.0.64 pkgsrc-2023Q4-base:1.1 pkgsrc-2023Q3:1.1.0.62 pkgsrc-2023Q3-base:1.1 pkgsrc-2023Q2:1.1.0.60 pkgsrc-2023Q2-base:1.1 pkgsrc-2023Q1:1.1.0.58 pkgsrc-2023Q1-base:1.1 pkgsrc-2022Q4:1.1.0.56 pkgsrc-2022Q4-base:1.1 pkgsrc-2022Q3:1.1.0.54 pkgsrc-2022Q3-base:1.1 pkgsrc-2022Q2:1.1.0.52 pkgsrc-2022Q2-base:1.1 pkgsrc-2022Q1:1.1.0.50 pkgsrc-2022Q1-base:1.1 pkgsrc-2021Q4:1.1.0.48 pkgsrc-2021Q4-base:1.1 pkgsrc-2021Q3:1.1.0.46 pkgsrc-2021Q3-base:1.1 pkgsrc-2021Q2:1.1.0.44 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.42 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.40 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.38 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.34 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.14 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.36 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.32 pkgsrc-2019Q3-base:1.1 pkgsrc-2019Q2:1.1.0.30 pkgsrc-2019Q2-base:1.1 pkgsrc-2019Q1:1.1.0.28 pkgsrc-2019Q1-base:1.1 pkgsrc-2018Q4:1.1.0.26 pkgsrc-2018Q4-base:1.1 pkgsrc-2018Q3:1.1.0.24 pkgsrc-2018Q3-base:1.1 pkgsrc-2018Q2:1.1.0.22 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.20 pkgsrc-2018Q1-base:1.1 pkgsrc-2017Q4:1.1.0.18 pkgsrc-2017Q4-base:1.1 pkgsrc-2017Q3:1.1.0.16 pkgsrc-2017Q3-base:1.1 pkgsrc-2017Q2:1.1.0.12 pkgsrc-2017Q2-base:1.1 pkgsrc-2017Q1:1.1.0.10 pkgsrc-2017Q1-base:1.1 pkgsrc-2016Q4:1.1.0.8 pkgsrc-2016Q4-base:1.1 pkgsrc-2016Q3:1.1.0.6 pkgsrc-2016Q3-base:1.1 pkgsrc-2016Q2:1.1.0.4 pkgsrc-2016Q2-base:1.1 pkgsrc-2016Q1:1.1.0.2 pkgsrc-2016Q1-base:1.1; locks; strict; comment @# @; 1.1 date 2015.12.29.02.04.08; author agc; state Exp; branches; next ; commitid f5heEkGe0r4BJMOy; desc @@ 1.1 log @Add pcg version 0.94 to the packages collection The PCG family of Random Number Generators combines properties not previously seen together in the same generation scheme: + It's really easy to use, and yet its very flexible and offers powerful features (including some that allow you to perform silly party tricks). + It's very fast, and can occupy very little space. + It has small code size. + It's performance in statistical tests is excellent (see the PCG paper for full details). + It's much less predictable and thus more secure than most generators. + It's open source software, with a permissive license (the Apache license). @ text @# $NetBSD: Makefile,v 1.4 2012/09/11 23:04:18 asau Exp $ DISTNAME= pcg-c-0.94 PKGNAME= ${DISTNAME:S/-c//} CATEGORIES= math MASTER_SITES= http://www.pcg-random.org/downloads/ EXTRACT_SUFX= .zip MAINTAINER= agc@@NetBSD.org HOMEPAGE= http://www.pcg-random.org/ COMMENT= Random number generator LICENSE= apache-2.0 USE_TOOLS+= gmake AUTO_MKDIRS= yes do-test: for t in check-pcg128i check-pcg128si check-pcg16i check-pcg16si \ check-pcg32 check-pcg32f check-pcg32i check-pcg32s \ check-pcg32si check-pcg32u check-pcg64 check-pcg64f \ check-pcg64i check-pcg64s check-pcg64si check-pcg64u \ check-pcg8i check-pcg8si check-pcg32-global \ check-pcg64-global; do \ (cd ${WRKSRC}/test-high && ./$$t); \ done for t in pcg32-demo pcg32-global-demo pcg32x2-demo pcg64-demo; do \ (cd ${WRKSRC}/sample && ./$$t); \ done .include "../../mk/bsd.pkg.mk" @