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@@ -0,0 +1 @@ +/argument_esa_model-3.11.112.linux-x86_64.tar.gz diff --git a/python-argument-esa-model.spec b/python-argument-esa-model.spec new file mode 100644 index 0000000..6bdfa06 --- /dev/null +++ b/python-argument-esa-model.spec @@ -0,0 +1,171 @@ +%global _empty_manifest_terminate_build 0 +Name: python-argument-esa-model +Version: 3.11.112 +Release: 1 +Summary: An ESA implementation in python. +License: MIT License +URL: https://git.webis.de/args/args-topic-modeling/tree/master/src/python/esa +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/c8/4fc090bc1b235a0b08e8e7c5f61ede22688f374d875f24e75f639f776b2d/argument_esa_model-3.11.112.linux-x86_64.tar.gz +BuildArch: noarch + + +%description +# Get the required resources +<code> scp -r webis@webislab40.medien.uni-weimar.de:/home/weci2587/projects/args-topic-modeling/resources . </code> + +# To run the ESA-script with all terms run: +## For normal ESA: + + ./esa-all-terms.py --similarity cos + --matrix-path <path_to_resources>/resources/esa-plain/<debatepedia|strategic-intelligence|wikipedia>.mat + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +## For word2vec-ESA: + + ./esa-all-terms.py --similarity max + --matrix-path <path_to_resources>/resources/esa-w2v/<debatepedia|strategic-intelligence|wikipedia>.mat + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +# To run the word2vec-ESA with reduced terms run: + + ./esa-top-n-terms.py -n <number_of_terms> + --corpus-path <path_to_resources>/resources/corpora/<debatepedia|strategic-intelligence|wikipedia>.csv + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +The input document must be a csv file with "|" as the separator and must contain the column "document", which is used as the input text for the ESA. + + + +%package -n python3-argument-esa-model +Summary: An ESA implementation in python. +Provides: python-argument-esa-model +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-argument-esa-model +# Get the required resources +<code> scp -r webis@webislab40.medien.uni-weimar.de:/home/weci2587/projects/args-topic-modeling/resources . </code> + +# To run the ESA-script with all terms run: +## For normal ESA: + + ./esa-all-terms.py --similarity cos + --matrix-path <path_to_resources>/resources/esa-plain/<debatepedia|strategic-intelligence|wikipedia>.mat + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +## For word2vec-ESA: + + ./esa-all-terms.py --similarity max + --matrix-path <path_to_resources>/resources/esa-w2v/<debatepedia|strategic-intelligence|wikipedia>.mat + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +# To run the word2vec-ESA with reduced terms run: + + ./esa-top-n-terms.py -n <number_of_terms> + --corpus-path <path_to_resources>/resources/corpora/<debatepedia|strategic-intelligence|wikipedia>.csv + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +The input document must be a csv file with "|" as the separator and must contain the column "document", which is used as the input text for the ESA. + + + +%package help +Summary: Development documents and examples for argument-esa-model +Provides: python3-argument-esa-model-doc +%description help +# Get the required resources +<code> scp -r webis@webislab40.medien.uni-weimar.de:/home/weci2587/projects/args-topic-modeling/resources . </code> + +# To run the ESA-script with all terms run: +## For normal ESA: + + ./esa-all-terms.py --similarity cos + --matrix-path <path_to_resources>/resources/esa-plain/<debatepedia|strategic-intelligence|wikipedia>.mat + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +## For word2vec-ESA: + + ./esa-all-terms.py --similarity max + --matrix-path <path_to_resources>/resources/esa-w2v/<debatepedia|strategic-intelligence|wikipedia>.mat + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +# To run the word2vec-ESA with reduced terms run: + + ./esa-top-n-terms.py -n <number_of_terms> + --corpus-path <path_to_resources>/resources/corpora/<debatepedia|strategic-intelligence|wikipedia>.csv + --model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin + --model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p + --input-path <path_to_input_file> + --output-path <path_to_output_file> + +The input document must be a csv file with "|" as the separator and must contain the column "document", which is used as the input text for the ESA. + + + +%prep +%autosetup -n argument-esa-model-3.11.112 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-argument-esa-model -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 3.11.112-1 +- Package Spec generated @@ -0,0 +1 @@ +6c1e56c8c1495f3e0a1718c9601843e0 argument_esa_model-3.11.112.linux-x86_64.tar.gz |