<pre style='margin:0'>
Renee Otten (reneeotten) pushed a commit to branch master
in repository macports-ports.

</pre>
<p><a href="https://github.com/macports/macports-ports/commit/2ad32d210392bf9071606cfe61c6fc4a6eefb7ec">https://github.com/macports/macports-ports/commit/2ad32d210392bf9071606cfe61c6fc4a6eefb7ec</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 2ad32d2  py-sentence-transformers: submission, version 0.2.4
</span>2ad32d2 is described below

<span style='display:block; white-space:pre;color:#808000;'>commit 2ad32d210392bf9071606cfe61c6fc4a6eefb7ec
</span>Author: Steve Smith <essandess@users.noreply.github.com>
AuthorDate: Mon Dec 9 22:54:18 2019 -0500

<span style='display:block; white-space:pre;color:#404040;'>    py-sentence-transformers: submission, version 0.2.4
</span>---
 python/py-sentence-transformers/Portfile | 70 ++++++++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/python/py-sentence-transformers/Portfile b/python/py-sentence-transformers/Portfile
</span>new file mode 100644
<span style='display:block; white-space:pre;color:#808080;'>index 0000000..8e18cef
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>--- /dev/null
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/python/py-sentence-transformers/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -0,0 +1,70 @@
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortSystem          1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortGroup           github 1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortGroup           python 1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+github.setup        UKPLab sentence-transformers 0.2.4 v
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+revision            0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+name                py-${github.project}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+categories-append   textproc
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+license             Apache-2
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+maintainers         nomaintainer
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+platforms           darwin
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+description         Sentence Embeddings with BERT & XLNet
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+long_description    BERT/XLNet produces out-of-the-box rather bad\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sentence embeddings. This repository fine-tunes\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    BERT/XLNet with a siamese or triplet network\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    structure to produce semantically meaningful\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sentence embeddings that can be used in\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    unsupervised scenarios: Semantic textual\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    similarity via cosine-similarity, clustering,\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    semantic search. We provide an increasing number\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    of state-of-the-art pretrained models that can be\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    used to derive sentence embeddings. See Pretrained\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    Models. Details of the implemented approaches can\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    be found in our publication: Sentence-BERT:\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    Sentence Embeddings using Siamese BERT-Networks\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    (published at EMNLP 2019). You can use this code\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    to easily train your own sentence embeddings, that\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    are tuned for your specific task. We provide\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    various dataset readers and you can tune sentence\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    embeddings with different loss function, depending\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    on the structure of your dataset. For further\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    details, see Train your own Sentence Embeddings.
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  00d5fb33f40ae1ad4f3fb1fda8f6cf3a4c28f92f \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  4bbeca502b8b62f9011518135d958129735ab34b1c5576e922d84cb5abf469d4 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    48748
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+python.versions     37
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+if {${name} ne ${subport}} {
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_build-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-setuptools
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_run-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-nltk \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-numpy \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-pytorch \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-scikit-learn \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-scipy \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-tqdm \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-transformers
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    post-destroot {
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        set docdir ${prefix}/share/doc/${subport}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        set sharedir ${prefix}/share/${subport}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        xinstall -d \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+            ${destroot}${docdir}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        xinstall -m 0644 -W ${worksrcpath} LICENSE NOTICE.txt README.md \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+            ${destroot}${docdir}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        copy ${worksrcpath}/docs/pretrained-models ${destroot}${docdir}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        copy ${worksrcpath}/examples ${destroot}${sharedir}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    }
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    livecheck.type  none
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+}
</span></pre><pre style='margin:0'>

</pre>