pkgsrc/math/py-abcpmc/distinfo

$NetBSD: distinfo,v 1.3 2021/10/26 10:55:59 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
math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes 2021-10-26 12:55:21 +02:00			$NetBSD: distinfo,v 1.3 2021/10/26 10:55:59 nia Exp $
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. 2016-10-12 02:27:00 +02:00
math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes 2021-10-26 12:55:21 +02:00			`BLAKE2s (abcpmc-0.1.2.tar.gz) = 0b65622ddf023176260c5d8d3009157a82613cb93a295124978dde7606b7099c`
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. 2016-10-12 02:27:00 +02:00			`SHA512 (abcpmc-0.1.2.tar.gz) = 5f94af7be91dc6d07438a641b60da84678ba1d033b03986c03300227ea0337d0dc90a22d85d86b1965c9175af489d9acafcfd3c52aad4130d6a994114cc1e09a`
			`Size (abcpmc-0.1.2.tar.gz) = 872276 bytes`