<pre style='margin:0'>
Ryan Schmidt (ryandesign) pushed a commit to branch master
in repository macports-ports.
</pre>
<p><a href="https://github.com/macports/macports-ports/commit/ef531799b6ea5830a5fa40d3847a4907a1d61b2b">https://github.com/macports/macports-ports/commit/ef531799b6ea5830a5fa40d3847a4907a1d61b2b</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit ef531799b6ea5830a5fa40d3847a4907a1d61b2b
</span>Author: Steven Thomas Smith <s.t.smith@ieee.org>
AuthorDate: Thu Oct 22 15:49:00 2020 -0400
<span style='display:block; white-space:pre;color:#404040;'> py-sentencepiece: Update to version 0.1.93
</span>---
python/py-sentencepiece/Portfile | 29 +++++++++++++++--------------
1 file changed, 15 insertions(+), 14 deletions(-)
<span style='display:block; white-space:pre;color:#808080;'>diff --git a/python/py-sentencepiece/Portfile b/python/py-sentencepiece/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 1043f51c4d2..d63bb7b9f63 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/python/py-sentencepiece/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/python/py-sentencepiece/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -4,7 +4,7 @@ PortSystem 1.0
</span> PortGroup github 1.0
PortGroup python 1.0
<span style='display:block; white-space:pre;background:#ffe0e0;'>-github.setup google sentencepiece 0.1.85 v
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+github.setup google sentencepiece 0.1.93 v
</span> revision 0
name py-${github.project}
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -14,21 +14,21 @@ maintainers nomaintainer
</span> platforms darwin
description Python wrapper for ${github.project}
<span style='display:block; white-space:pre;background:#ffe0e0;'>-long_description SentencePiece is an unsupervised text tokenizer\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- and detokenizer mainly for Neural Network-based\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- text generation systems where the vocabulary size\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- is predetermined prior to the neural model\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- training. SentencePiece implements subword units\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- (e.g., byte-pair-encoding (BPE) \[Sennrich et al.\])\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- and unigram language model \[Kudo.\]) with the\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- extension of direct training from raw\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sentences. SentencePiece allows us to make a\
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- purely end-to-end system that does not depend on\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+long_description SentencePiece is an unsupervised text tokenizer \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ and detokenizer mainly for Neural Network-based \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ text generation systems where the vocabulary size \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ is predetermined prior to the neural model \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ training. SentencePiece implements subword units \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ (e.g., byte-pair-encoding (BPE) \[Sennrich et al.\]) \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ and unigram language model \[Kudo.\]) with the \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ extension of direct training from raw \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ sentences. SentencePiece allows us to make a \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ purely end-to-end system that does not depend on \
</span> language-specific pre/postprocessing.
<span style='display:block; white-space:pre;background:#ffe0e0;'>-checksums rmd160 dbece1fa604e79b36f13c51af7b7b478c846f73d \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sha256 c1c21e3b4a075014b128a1449f8d3311d91f3e0caabb09372105917f3410d39d \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- size 12167775
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums rmd160 76b1e1ae6e5b297ed07c749d7ff35f12e4852322 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ sha256 9a146e83dc6a403e431ae444dcc0c28203be81436566acc628edae42fc8901ec \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+ size 11684466
</span>
python.versions 37 38
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -45,6 +45,7 @@ if {${name} ne ${subport}} {
</span> compiler.cxx_standard 2011
test.run yes
<span style='display:block; white-space:pre;background:#e0ffe0;'>+ test.env PYTHONPATH=${worksrcpath}/build/lib
</span>
livecheck.type none
}
</pre><pre style='margin:0'>
</pre>