<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/2ec5038982ebaa5e7740d34cba65c56d7ce03591">https://github.com/macports/macports-ports/commit/2ec5038982ebaa5e7740d34cba65c56d7ce03591</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit 2ec5038982ebaa5e7740d34cba65c56d7ce03591
</span>Author: Steven Thomas Smith <s.t.smith@ieee.org>
AuthorDate: Thu Oct 22 15:45:43 2020 -0400
<span style='display:block; white-space:pre;color:#404040;'> sentencepiece: Update to version 0.1.93
</span>---
textproc/sentencepiece/Portfile | 28 ++++++++++++++--------------
1 file changed, 14 insertions(+), 14 deletions(-)
<span style='display:block; white-space:pre;color:#808080;'>diff --git a/textproc/sentencepiece/Portfile b/textproc/sentencepiece/Portfile
</span><span style='display:block; white-space:pre;color:#808080;'>index 8a994fce065..8ff46d0e456 100644
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>--- a/textproc/sentencepiece/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/textproc/sentencepiece/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -4,7 +4,7 @@ PortSystem 1.0
</span> PortGroup cmake 1.1
PortGroup github 1.0
<span style='display:block; white-space:pre;background:#ffe0e0;'>-github.setup google sentencepiece 0.1.84 v
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+github.setup google sentencepiece 0.1.93 v
</span> revision 0
categories textproc
<span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -15,21 +15,21 @@ platforms darwin
</span> description Unsupervised text tokenizer for Neural Network-based\
text generation.
<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 91bc4a0a23d9a4daf98abbb9ec83aed2241fdc42 \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- sha256 dacab5fe63875b94538e06f4995ffb8cf35400708f3c333263f7b72e2e5b43de \
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>- size 11828855
</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>
compiler.cxx_standard 2011
compiler.thread_local_storage yes
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