<pre style='margin:0'>
Leo Singer (lpsinger) pushed a commit to branch master
in repository macports-ports.
</pre>
<p><a href="https://github.com/macports/macports-ports/commit/f1eb7dd93e9759a5a2cbb3ee212ebed6fd8571c9">https://github.com/macports/macports-ports/commit/f1eb7dd93e9759a5a2cbb3ee212ebed6fd8571c9</a></p>
<pre style="white-space: pre; background: #F8F8F8">The following commit(s) were added to refs/heads/master by this push:
<span style='display:block; white-space:pre;color:#404040;'> new f1eb7dd py-pymc3: update to version 3.3
</span>f1eb7dd is described below
<span style='display:block; white-space:pre;color:#808000;'>commit f1eb7dd93e9759a5a2cbb3ee212ebed6fd8571c9
</span>Author: Leo Singer <leo.singer@ligo.org>
AuthorDate: Fri Mar 23 22:51:48 2018 -0700
<span style='display:block; white-space:pre;color:#404040;'> py-pymc3: update to version 3.3
</span>---
python/py-pymc3/Portfile | 7 ++++---
1 file changed, 4 insertions(+), 3 deletions(-)
<span style='display:block; white-space:pre;color:#808080;'>diff --git a/python/py-pymc3/Portfile b/python/py-pymc3/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 26ebf9f..c3a3fc0 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/python/py-pymc3/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/python/py-pymc3/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -4,11 +4,12 @@ PortSystem 1.0
</span> PortGroup python 1.0
PortGroup github 1.0
<span style='display:block; white-space:pre;background:#ffe0e0;'>-github.setup pymc-devs pymc3 3.1 v
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+github.setup pymc-devs pymc3 3.3 v
</span> name py-pymc3
platforms darwin
maintainers nomaintainer
license Apache-2
<span style='display:block; white-space:pre;background:#e0ffe0;'>+supported_archs noarch
</span>
description Bayesian statistical models and fitting algorithms for python
long_description PyMC is a python module that implements Bayesian statistical models \
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -21,8 +22,8 @@ long_description PyMC is a python module that implements Bayesian statistical
</span> python.versions 27 34 35 36
if {${name} ne ${subport}} {
<span style='display:block; white-space:pre;background:#ffe0e0;'>- checksums rmd160 44579893fe1d646470bfbbe3001ab91d69392359 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sha256 e8e60e7c95b08af5470c2cf3e1b7a058c918672ad1ecf7d84e5b9969d34c74ba
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ checksums rmd160 f78fbfd4f89c453573dd75bb45a1daad00921a7d \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ sha256 2b1223e024203f50b3286716b90d57722653abe33b80269745f4fa1767925522
</span>
depends_lib-append port:py${python.version}-numpy \
port:py${python.version}-scipy \
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