head 1.3; access; symbols pkgsrc-2023Q4:1.3.0.42 pkgsrc-2023Q4-base:1.3 pkgsrc-2023Q3:1.3.0.40 pkgsrc-2023Q3-base:1.3 pkgsrc-2023Q2:1.3.0.38 pkgsrc-2023Q2-base:1.3 pkgsrc-2023Q1:1.3.0.36 pkgsrc-2023Q1-base:1.3 pkgsrc-2022Q4:1.3.0.34 pkgsrc-2022Q4-base:1.3 pkgsrc-2022Q3:1.3.0.32 pkgsrc-2022Q3-base:1.3 pkgsrc-2022Q2:1.3.0.30 pkgsrc-2022Q2-base:1.3 pkgsrc-2022Q1:1.3.0.28 pkgsrc-2022Q1-base:1.3 pkgsrc-2021Q4:1.3.0.26 pkgsrc-2021Q4-base:1.3 pkgsrc-2021Q3:1.3.0.24 pkgsrc-2021Q3-base:1.3 pkgsrc-2021Q2:1.3.0.22 pkgsrc-2021Q2-base:1.3 pkgsrc-2021Q1:1.3.0.20 pkgsrc-2021Q1-base:1.3 pkgsrc-2020Q4:1.3.0.18 pkgsrc-2020Q4-base:1.3 pkgsrc-2020Q3:1.3.0.16 pkgsrc-2020Q3-base:1.3 pkgsrc-2020Q2:1.3.0.14 pkgsrc-2020Q2-base:1.3 pkgsrc-2020Q1:1.3.0.10 pkgsrc-2020Q1-base:1.3 pkgsrc-2019Q4:1.3.0.12 pkgsrc-2019Q4-base:1.3 pkgsrc-2019Q3:1.3.0.8 pkgsrc-2019Q3-base:1.3 pkgsrc-2019Q2:1.3.0.6 pkgsrc-2019Q2-base:1.3 pkgsrc-2019Q1:1.3.0.4 pkgsrc-2019Q1-base:1.3 pkgsrc-2018Q4:1.3.0.2 pkgsrc-2018Q4-base:1.3 pkgsrc-2018Q3:1.2.0.2 pkgsrc-2018Q3-base:1.2 pkgsrc-2018Q2:1.1.0.4 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.2 pkgsrc-2018Q1-base:1.1; locks; strict; comment @# @; 1.3 date 2018.10.07.07.02.39; author adam; state Exp; branches; next 1.2; commitid u4NQLwZLcOlpPZUA; 1.2 date 2018.08.30.11.14.05; author adam; state Exp; branches; next 1.1; commitid 60ki4nCS2Lznr8QA; 1.1 date 2018.01.24.00.45.21; author minskim; state Exp; branches; next ; commitid TtIOBQY1Bhk7Y3oA; desc @@ 1.3 log @py-powerlaw: updated to 1.4.5 1.4.5: Unknown changes @ text @@@comment $NetBSD: PLIST,v 1.2 2018/08/30 11:14:05 adam Exp $ ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt ${PYSITELIB}/${EGG_INFODIR}/requires.txt ${PYSITELIB}/${EGG_INFODIR}/top_level.txt ${PYSITELIB}/powerlaw.py ${PYSITELIB}/powerlaw.pyc ${PYSITELIB}/powerlaw.pyo @ 1.2 log @py-powerlaw: updated to 1.4.4 1.4.4: Unknown changes @ text @d1 6 a6 2 @@comment $NetBSD: PLIST,v 1.1 2018/01/24 00:45:21 minskim Exp $ ${PYSITELIB}/${EGG_FILE} @ 1.1 log @math/py-powerlaw: Import version 1.4.3 powerlaw is a toolbox using the statistical methods to determine if a probability distribution fits a power law. @ text @d1 2 a2 1 @@comment $NetBSD$ @