From 6f4773dd47e4eef9751e8781b84b25db567b31e5 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Mon, 10 Apr 2023 10:31:04 +0000
Subject: automatic import of python-embeddings

---
 python-embeddings.spec | 104 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 104 insertions(+)
 create mode 100644 python-embeddings.spec

(limited to 'python-embeddings.spec')

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
-- 
cgit v1.2.3