head 1.2; access; symbols pkgsrc-2023Q4:1.2.0.58 pkgsrc-2023Q4-base:1.2 pkgsrc-2023Q3:1.2.0.56 pkgsrc-2023Q3-base:1.2 pkgsrc-2023Q2:1.2.0.54 pkgsrc-2023Q2-base:1.2 pkgsrc-2023Q1:1.2.0.52 pkgsrc-2023Q1-base:1.2 pkgsrc-2022Q4:1.2.0.50 pkgsrc-2022Q4-base:1.2 pkgsrc-2022Q3:1.2.0.48 pkgsrc-2022Q3-base:1.2 pkgsrc-2022Q2:1.2.0.46 pkgsrc-2022Q2-base:1.2 pkgsrc-2022Q1:1.2.0.44 pkgsrc-2022Q1-base:1.2 pkgsrc-2021Q4:1.2.0.42 pkgsrc-2021Q4-base:1.2 pkgsrc-2021Q3:1.2.0.40 pkgsrc-2021Q3-base:1.2 pkgsrc-2021Q2:1.2.0.38 pkgsrc-2021Q2-base:1.2 pkgsrc-2021Q1:1.2.0.36 pkgsrc-2021Q1-base:1.2 pkgsrc-2020Q4:1.2.0.34 pkgsrc-2020Q4-base:1.2 pkgsrc-2020Q3:1.2.0.32 pkgsrc-2020Q3-base:1.2 pkgsrc-2020Q2:1.2.0.28 pkgsrc-2020Q2-base:1.2 pkgsrc-2020Q1:1.2.0.8 pkgsrc-2020Q1-base:1.2 pkgsrc-2019Q4:1.2.0.30 pkgsrc-2019Q4-base:1.2 pkgsrc-2019Q3:1.2.0.26 pkgsrc-2019Q3-base:1.2 pkgsrc-2019Q2:1.2.0.24 pkgsrc-2019Q2-base:1.2 pkgsrc-2019Q1:1.2.0.22 pkgsrc-2019Q1-base:1.2 pkgsrc-2018Q4:1.2.0.20 pkgsrc-2018Q4-base:1.2 pkgsrc-2018Q3:1.2.0.18 pkgsrc-2018Q3-base:1.2 pkgsrc-2018Q2:1.2.0.16 pkgsrc-2018Q2-base:1.2 pkgsrc-2018Q1:1.2.0.14 pkgsrc-2018Q1-base:1.2 pkgsrc-2017Q4:1.2.0.12 pkgsrc-2017Q4-base:1.2 pkgsrc-2017Q3:1.2.0.10 pkgsrc-2017Q3-base:1.2 pkgsrc-2017Q2:1.2.0.6 pkgsrc-2017Q2-base:1.2 pkgsrc-2017Q1:1.2.0.4 pkgsrc-2017Q1-base:1.2 pkgsrc-2016Q4:1.2.0.2 pkgsrc-2016Q4-base:1.2; locks; strict; comment @# @; 1.2 date 2016.10.12.19.51.45; author kamil; state Exp; branches; next 1.1; commitid zQ4dofTnqa3FnTpz; 1.1 date 2016.10.12.00.27.01; author kamil; state Exp; branches; next ; commitid usNrywZCYPUzWMpz; desc @@ 1.2 log @Don't include py-funcsig for Python older than 3.3. This feature is now part of Python 3.3 and newer: https://www.python.org/dev/peps/pep-0362/ @ text @@@comment $NetBSD$ ${PYSITELIB}/${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 @ 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 @@