<pre style='margin:0'>
Andrew Stromnov (stromnov) pushed a commit to branch master
in repository macports-ports.
</pre>
<p><a href="https://github.com/macports/macports-ports/commit/16f169bb6a16ee9cfd6ada908d0ce3d926457a96">https://github.com/macports/macports-ports/commit/16f169bb6a16ee9cfd6ada908d0ce3d926457a96</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit 16f169bb6a16ee9cfd6ada908d0ce3d926457a96
</span>Author: Andrew Stromnov <stromnov@macports.org>
AuthorDate: Mon Jun 10 11:46:55 2019 +0300
<span style='display:block; white-space:pre;color:#404040;'> py-tpot: update to 0.10.1
</span>---
python/py-tpot/Portfile | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
<span style='display:block; white-space:pre;color:#808080;'>diff --git a/python/py-tpot/Portfile b/python/py-tpot/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index c92d4c6..6a40bd8 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/python/py-tpot/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/python/py-tpot/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -4,11 +4,11 @@ PortSystem 1.0
</span> PortGroup python 1.0
name py-tpot
<span style='display:block; white-space:pre;background:#ffe0e0;'>-version 0.9.6
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+version 0.10.1
</span> revision 0
categories-append devel math science
platforms darwin
<span style='display:block; white-space:pre;background:#ffe0e0;'>-license GPL-3
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+license LGPL
</span> supported_archs noarch
python.versions 27 35 36 37
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -20,14 +20,14 @@ description Tree-based Pipeline Optimization Tool
</span> long_description A Python tool that automatically creates and optimizes \
Machine Learning pipelines using genetic programming.
<span style='display:block; white-space:pre;background:#ffe0e0;'>-homepage https://github.com/rhiever/tpot
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+homepage https://github.com/EpistasisLab/tpot
</span> master_sites pypi:T/TPOT
distname TPOT-${version}
<span style='display:block; white-space:pre;background:#ffe0e0;'>-checksums rmd160 7e5ff5c1afe63d407028ccf70f02971eba7ade5f \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sha256 38fda283fd0e08b8dc1977a6ecc4f0ec8c5131c31f39911a7fc1f7c57ccf3aed \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- size 892165
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums rmd160 0bbc582a54cc8595c1280b7bad5b560d332a50b2 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ sha256 22a3c380421ef6330802a52a764f0fa6ac0253cbb4b2879c950525d7c4309966 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ size 895881
</span>
if {${name} ne ${subport}} {
depends_lib-append port:py${python.version}-setuptools \
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