head 1.3; access; symbols pkgsrc-2023Q4:1.3.0.18 pkgsrc-2023Q4-base:1.3 pkgsrc-2023Q3:1.3.0.16 pkgsrc-2023Q3-base:1.3 pkgsrc-2023Q2:1.3.0.14 pkgsrc-2023Q2-base:1.3 pkgsrc-2023Q1:1.3.0.12 pkgsrc-2023Q1-base:1.3 pkgsrc-2022Q4:1.3.0.10 pkgsrc-2022Q4-base:1.3 pkgsrc-2022Q3:1.3.0.8 pkgsrc-2022Q3-base:1.3 pkgsrc-2022Q2:1.3.0.6 pkgsrc-2022Q2-base:1.3 pkgsrc-2022Q1:1.3.0.4 pkgsrc-2022Q1-base:1.3 pkgsrc-2021Q4:1.3.0.2 pkgsrc-2021Q4-base:1.3 pkgsrc-2021Q3:1.1.0.40 pkgsrc-2021Q3-base:1.1 pkgsrc-2021Q2:1.1.0.38 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.36 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.34 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.32 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.28 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.8 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.30 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.26 pkgsrc-2019Q3-base:1.1 pkgsrc-2019Q2:1.1.0.24 pkgsrc-2019Q2-base:1.1 pkgsrc-2019Q1:1.1.0.22 pkgsrc-2019Q1-base:1.1 pkgsrc-2018Q4:1.1.0.20 pkgsrc-2018Q4-base:1.1 pkgsrc-2018Q3:1.1.0.18 pkgsrc-2018Q3-base:1.1 pkgsrc-2018Q2:1.1.0.16 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.14 pkgsrc-2018Q1-base:1.1 pkgsrc-2017Q4:1.1.0.12 pkgsrc-2017Q4-base:1.1 pkgsrc-2017Q3:1.1.0.10 pkgsrc-2017Q3-base:1.1 pkgsrc-2017Q2:1.1.0.6 pkgsrc-2017Q2-base:1.1 pkgsrc-2017Q1:1.1.0.4 pkgsrc-2017Q1-base:1.1 pkgsrc-2016Q4:1.1.0.2 pkgsrc-2016Q4-base:1.1; locks; strict; comment @# @; 1.3 date 2021.10.26.10.55.59; author nia; state Exp; branches; next 1.2; commitid vzl6zVlmjiF3hjeD; 1.2 date 2021.10.07.14.28.21; author nia; state Exp; branches; next 1.1; commitid wLkpKfebF6VS3TbD; 1.1 date 2016.10.12.00.27.01; author kamil; state Exp; branches; next ; commitid usNrywZCYPUzWMpz; desc @@ 1.3 log @math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes @ text @$NetBSD: distinfo,v 1.2 2021/10/07 14:28:21 nia Exp $ BLAKE2s (abcpmc-0.1.2.tar.gz) = 0b65622ddf023176260c5d8d3009157a82613cb93a295124978dde7606b7099c SHA512 (abcpmc-0.1.2.tar.gz) = 5f94af7be91dc6d07438a641b60da84678ba1d033b03986c03300227ea0337d0dc90a22d85d86b1965c9175af489d9acafcfd3c52aad4130d6a994114cc1e09a Size (abcpmc-0.1.2.tar.gz) = 872276 bytes @ 1.2 log @math: Remove SHA1 hashes for distfiles @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.1 2016/10/12 00:27:01 kamil Exp $ d3 1 a3 1 RMD160 (abcpmc-0.1.2.tar.gz) = adbeb10078e6cf71ac868210afbbfb4698fb7275 @ 1.1 log @Import py27-abcpmc-0.1.2 as math/py-abcpmc. A Python Approximate Bayesian Computing (ABC) Population Monte Carlo (PMC) implementation based on Sequential Monte Carlo (SMC) with Particle Filtering techniques. @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.1 2015/08/05 20:31:24 jihbed Exp $ a2 1 SHA1 (abcpmc-0.1.2.tar.gz) = 087bcc8b38345065753715d88af3a1f155e770a6 @