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| -rw-r--r-- | python-embeddings.spec | 104 | ||||
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@@ -0,0 +1 @@ +/embeddings-0.0.8.tar.gz diff --git a/python-embeddings.spec b/python-embeddings.spec new file mode 100644 index 0000000..40b7d7b --- /dev/null +++ b/python-embeddings.spec @@ -0,0 +1,104 @@ +%global _empty_manifest_terminate_build 0 +Name: python-embeddings +Version: 0.0.8 +Release: 1 +Summary: Pretrained word embeddings in Python. +License: MIT +URL: https://github.com/vzhong/embeddings +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b1/1f/2c6597fc0ecf694a0a6f9dd795935d85d9810c44da7ad0a506a7d021d746/embeddings-0.0.8.tar.gz +BuildArch: noarch + +Requires: python3-tqdm +Requires: python3-requests +Requires: python3-numpy +Requires: python3-check-manifest +Requires: python3-sphinx +Requires: python3-sphinx-rtd-theme +Requires: python3-coverage +Requires: python3-nose + +%description +Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. +Instead of loading a large file to query for embeddings, ``embeddings`` is backed by a database and fast to load and query: + >>> %timeit GloveEmbedding('common_crawl_840', d_emb=300) + 100 loops, best of 3: 12.7 ms per loop + >>> %timeit GloveEmbedding('common_crawl_840', d_emb=300).emb('canada') + 100 loops, best of 3: 12.9 ms per loop + >>> g = GloveEmbedding('common_crawl_840', d_emb=300) + >>> %timeit -n1 g.emb('canada') + 1 loop, best of 3: 38.2 µs per loop + +%package -n python3-embeddings +Summary: Pretrained word embeddings in Python. +Provides: python-embeddings +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-embeddings +Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. +Instead of loading a large file to query for embeddings, ``embeddings`` is backed by a database and fast to load and query: + >>> %timeit GloveEmbedding('common_crawl_840', d_emb=300) + 100 loops, best of 3: 12.7 ms per loop + >>> %timeit GloveEmbedding('common_crawl_840', d_emb=300).emb('canada') + 100 loops, best of 3: 12.9 ms per loop + >>> g = GloveEmbedding('common_crawl_840', d_emb=300) + >>> %timeit -n1 g.emb('canada') + 1 loop, best of 3: 38.2 µs per loop + +%package help +Summary: Development documents and examples for embeddings +Provides: python3-embeddings-doc +%description help +Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. +Instead of loading a large file to query for embeddings, ``embeddings`` is backed by a database and fast to load and query: + >>> %timeit GloveEmbedding('common_crawl_840', d_emb=300) + 100 loops, best of 3: 12.7 ms per loop + >>> %timeit GloveEmbedding('common_crawl_840', d_emb=300).emb('canada') + 100 loops, best of 3: 12.9 ms per loop + >>> g = GloveEmbedding('common_crawl_840', d_emb=300) + >>> %timeit -n1 g.emb('canada') + 1 loop, best of 3: 38.2 µs per loop + +%prep +%autosetup -n embeddings-0.0.8 + +%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-embeddings -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.8-1 +- Package Spec generated @@ -0,0 +1 @@ +be4bb4444f5fbdc7e2d2d7fb5d19fc7a embeddings-0.0.8.tar.gz |