%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