Wed Oct 12 00:27:01 2016 UTC ()
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.


(kamil)
diff -r0 -r1.1 pkgsrc/math/py-abcpmc/DESCR
diff -r0 -r1.1 pkgsrc/math/py-abcpmc/Makefile
diff -r0 -r1.1 pkgsrc/math/py-abcpmc/PLIST
diff -r0 -r1.1 pkgsrc/math/py-abcpmc/distinfo
File Added: pkgsrc/math/py-abcpmc/DESCR
A Python Approximate Bayesian Computing (ABC) Population Monte Carlo
(PMC) implementation based on Sequential Monte Carlo (SMC) with Particle
Filtering techniques.
File Added: pkgsrc/math/py-abcpmc/Makefile
# $NetBSD: Makefile,v 1.1 2016/10/12 00:27:00 kamil Exp $

DISTNAME=	abcpmc-0.1.2
PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
CATEGORIES=	math python
MASTER_SITES=	${MASTER_SITE_PYPI:=a/abcpmc/}

MAINTAINER=	jihbed.research@gmail.com
HOMEPAGE=	http://www.cosmology.ethz.ch/research/software-lab/abcpmc.html
COMMENT=	Approximate Bayesian Computation Population Monte Carlo
LICENSE=	gnu-gpl-v3

USE_LANGUAGES=	# none

# TEST_DEPENDS
BUILD_DEPENDS+=	${PYPKGPREFIX}-funcsigs-[0-9]*:../../devel/py-funcsigs
BUILD_DEPENDS+=	${PYPKGPREFIX}-mock-[0-9]*:../../devel/py-mock
BUILD_DEPENDS+=	${PYPKGPREFIX}-pbr-[0-9]*:../../devel/py-pbr
BUILD_DEPENDS+=	${PYPKGPREFIX}-test-[0-9]*:../../devel/py-test
BUILD_DEPENDS+=	${PYPKGPREFIX}-six-[0-9]*:../../lang/py-six
BUILD_DEPENDS+=	${PYPKGPREFIX}-scipy-[0-9]*:../../math/py-scipy

.include "../../lang/python/egg.mk"
.include "../../mk/bsd.pkg.mk"
File Added: pkgsrc/math/py-abcpmc/PLIST
@comment $NetBSD: PLIST,v 1.1 2016/10/12 00:27:01 kamil Exp $
${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
${PYSITELIB}/${EGG_INFODIR}/not-zip-safe
${PYSITELIB}/${EGG_INFODIR}/pbr.json
${PYSITELIB}/${EGG_INFODIR}/requires.txt
${PYSITELIB}/${EGG_INFODIR}/top_level.txt
${PYSITELIB}/abcpmc/__init__.py
${PYSITELIB}/abcpmc/__init__.pyc
${PYSITELIB}/abcpmc/__init__.pyo
${PYSITELIB}/abcpmc/mpi_util.py
${PYSITELIB}/abcpmc/mpi_util.pyc
${PYSITELIB}/abcpmc/mpi_util.pyo
${PYSITELIB}/abcpmc/sampler.py
${PYSITELIB}/abcpmc/sampler.pyc
${PYSITELIB}/abcpmc/sampler.pyo
${PYSITELIB}/abcpmc/threshold.py
${PYSITELIB}/abcpmc/threshold.pyc
${PYSITELIB}/abcpmc/threshold.pyo
${PYSITELIB}/test/__init__.py
${PYSITELIB}/test/__init__.pyc
${PYSITELIB}/test/__init__.pyo
${PYSITELIB}/test/test_MpiUtil.py
${PYSITELIB}/test/test_MpiUtil.pyc
${PYSITELIB}/test/test_MpiUtil.pyo
${PYSITELIB}/test/test_sampler.py
${PYSITELIB}/test/test_sampler.pyc
${PYSITELIB}/test/test_sampler.pyo
${PYSITELIB}/test/test_threshold.py
${PYSITELIB}/test/test_threshold.pyc
${PYSITELIB}/test/test_threshold.pyo
File Added: pkgsrc/math/py-abcpmc/distinfo
$NetBSD: distinfo,v 1.1 2016/10/12 00:27:01 kamil Exp $

SHA1 (abcpmc-0.1.2.tar.gz) = 087bcc8b38345065753715d88af3a1f155e770a6
RMD160 (abcpmc-0.1.2.tar.gz) = adbeb10078e6cf71ac868210afbbfb4698fb7275
SHA512 (abcpmc-0.1.2.tar.gz) = 5f94af7be91dc6d07438a641b60da84678ba1d033b03986c03300227ea0337d0dc90a22d85d86b1965c9175af489d9acafcfd3c52aad4130d6a994114cc1e09a
Size (abcpmc-0.1.2.tar.gz) = 872276 bytes