From e3b647439a5ae42892849fe2457fd78f50680fe5 Mon Sep 17 00:00:00 2001 From: Benjamin Meyers Date: Wed, 14 Sep 2016 10:34:35 -0400 Subject: [PATCH] Trying to make PyPi copy the berkeley parser over. --- MANIFEST.in | 7 +++---- setup.py | 5 +++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index 4580299..c3680c0 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,6 +1,5 @@ - -# Include the license file include LICENSE.md -# Include the data files -recursive-include splat *.jar *.gr \ No newline at end of file +recursive-include splat/parse/ *.jar *.gr + +global-exclude *~ \ No newline at end of file diff --git a/setup.py b/setup.py index 1a78033..7c69592 100644 --- a/setup.py +++ b/setup.py @@ -2,7 +2,7 @@ setup( name='SPLAT-library', - version='0.1.8', + version='0.1.9', description='Speech Processing & Linguistic Analysis Tool', long_description="SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.\n\nSPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.", url='http://splat-library.org', @@ -11,6 +11,7 @@ license='MIT', scripts=['splat/base/splat-cli'], keywords=['nlp', 'natural language', 'natural language processing'], + include_package_data=True, packages=[ 'splat', 'splat.annotation', @@ -24,7 +25,7 @@ 'splat.tag', 'splat.tokenizers' ], - download_url='https://github.com/meyersbs/SPLAT/tarball/0.1.8', + download_url='https://github.com/meyersbs/SPLAT/tarball/0.1.9', requires=['matplotlib', 'nltk'], classifiers=[ 'Development Status :: 3 - Alpha',