head 1.7; access; symbols pkgsrc-2023Q4:1.6.0.8 pkgsrc-2023Q4-base:1.6 pkgsrc-2023Q3:1.6.0.6 pkgsrc-2023Q3-base:1.6 pkgsrc-2023Q2:1.6.0.4 pkgsrc-2023Q2-base:1.6 pkgsrc-2023Q1:1.6.0.2 pkgsrc-2023Q1-base:1.6 pkgsrc-2022Q4:1.5.0.4 pkgsrc-2022Q4-base:1.5 pkgsrc-2022Q3:1.5.0.2 pkgsrc-2022Q3-base:1.5 pkgsrc-2022Q2:1.4.0.6 pkgsrc-2022Q2-base:1.4 pkgsrc-2022Q1:1.4.0.4 pkgsrc-2022Q1-base:1.4 pkgsrc-2021Q4:1.4.0.2 pkgsrc-2021Q4-base:1.4 pkgsrc-2021Q3:1.2.0.4 pkgsrc-2021Q3-base:1.2 pkgsrc-2021Q2:1.2.0.2 pkgsrc-2021Q2-base:1.2 pkgsrc-2021Q1:1.1.0.12 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.10 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.8 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.6 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.2 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.4 pkgsrc-2019Q4-base:1.1; locks; strict; comment @# @; 1.7 date 2024.01.28.17.27.38; author adam; state Exp; branches; next 1.6; commitid Ue16HWrkzXGxXeWE; 1.6 date 2023.03.08.10.37.47; author wiz; state Exp; branches; next 1.5; commitid x3Wad4KoDkrEajgE; 1.5 date 2022.09.14.11.46.03; author adam; state Exp; branches; next 1.4; commitid mzQwfFaoW17PaPTD; 1.4 date 2021.10.26.10.46.47; author nia; state Exp; branches; next 1.3; commitid 6mU28GyqPd3PdjeD; 1.3 date 2021.10.07.14.12.48; author nia; state Exp; branches; next 1.2; commitid 7mrgNTa8lk0sYSbD; 1.2 date 2021.05.10.09.29.14; author adam; state Exp; branches; next 1.1; commitid f32vn6oaw9xneASC; 1.1 date 2019.11.26.21.08.26; author minskim; state Exp; branches; next ; commitid CCjf223TTgVyapMB; desc @@ 1.7 log @py-matplotlib-venn: updated to 0.11.10 Version 0.11.10 - Updated tests to work with Matplotlib 3.6+ @ text @$NetBSD: distinfo,v 1.6 2023/03/08 10:37:47 wiz Exp $ BLAKE2s (matplotlib-venn-0.11.10.tar.gz) = a896ae5e17c31809b823ec7afe7efc7c80a5d20ddc21c8351519362c483aa817 SHA512 (matplotlib-venn-0.11.10.tar.gz) = af206fd1dd7af4ae8671eb512d1c9b25d0859294f5b2341b95fceb5442884c41fd0b659f8b7d0e43c4e972c31cc8336474f3bcdeace825a0bfa169a0c8b8b412 Size (matplotlib-venn-0.11.10.tar.gz) = 30509 bytes @ 1.6 log @py-matplotlib-venn: update distinfo for Makefile update @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.5 2022/09/14 11:46:03 adam Exp $ d3 3 a5 3 BLAKE2s (matplotlib-venn-0.11.9.tar.gz) = 864e717dfbd336cc56c3258ba58e368df702a45928b442792f9dff6f3c023998 SHA512 (matplotlib-venn-0.11.9.tar.gz) = 929918fe41ffc1b917f2dd1595ad06483b5cda88993cf432d9ad00369a9adcb47815f9a544e8028c1d5e27879e3e557057aa0ce1ffbdea9ea7086df232571b74 Size (matplotlib-venn-0.11.9.tar.gz) = 30572 bytes @ 1.5 log @py-matplotlib-venn: updated to 0.11.7 Version 0.11.7 - Fixed Travis-CI-related error messages. @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.4 2021/10/26 10:46:47 nia Exp $ d3 3 a5 3 BLAKE2s (matplotlib-venn-0.11.7.tar.gz) = 697b5627e06254cc00b7ecafa756e11907e6def1dbfd62105058ad2d7d39ed8c SHA512 (matplotlib-venn-0.11.7.tar.gz) = f08d1d481755ab1879a2ea47f9aa4d203ae546d75c8c24309e697fd30456eefa5b933b996696bb47f87299008a324861d4532045833296960e0c10bb9b037231 Size (matplotlib-venn-0.11.7.tar.gz) = 29714 bytes @ 1.4 log @graphics: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.3 2021/10/07 14:12:48 nia Exp $ d3 3 a5 3 BLAKE2s (matplotlib-venn-0.11.6.tar.gz) = 77610c7e13a3a865f0f3cdb33d66d84fc187efad697f1cfcc095f0ac97979677 SHA512 (matplotlib-venn-0.11.6.tar.gz) = 1a38d8e5ca171710a6a017eb21e5273f1ad580f8146b953c550610399df4d105ddb2423fdd62e710eafcecbe37f50af16aa9181670a14a3ff46d539bc1abdef1 Size (matplotlib-venn-0.11.6.tar.gz) = 29610 bytes @ 1.3 log @graphics: Remove SHA1 hashes for distfiles @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.2 2021/05/10 09:29:14 adam Exp $ d3 1 a3 1 RMD160 (matplotlib-venn-0.11.6.tar.gz) = e998918a52bb8b3f715a8f1890ea2a7cdc14f94c @ 1.2 log @py-matplotlib-venn: updated to 0.11.6 Version 0.11.6 - Added matplotlib_venn.__version__ field @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.1 2019/11/26 21:08:26 minskim Exp $ a2 1 SHA1 (matplotlib-venn-0.11.6.tar.gz) = c34312bc3e28fea1916936870f5b06075fdafb07 @ 1.1 log @graphics/py-matplotlib-venn: Import version 0.11.5 matplotlib-venn provides functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib. @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.33 2019/07/03 18:18:44 adam Exp $ d3 4 a6 4 SHA1 (matplotlib-venn-0.11.5.zip) = 0694608f96ec4960daf5f517d911074bdb94a8d3 RMD160 (matplotlib-venn-0.11.5.zip) = c9f0e705e5f4919444bc59294950d8fe77b659ae SHA512 (matplotlib-venn-0.11.5.zip) = 3a4acfceaf9be21861686979afc14f9785b7dced3616a9bb7a15fbad346804e802a970f9698baa8269e0fb7db8fb06e95fab3fd501652f25755f454557a62f90 Size (matplotlib-venn-0.11.5.zip) = 40403 bytes @