%global _empty_manifest_terminate_build 0 Name: python-hanlp-common Version: 0.0.19 Release: 1 Summary: HanLP: Han Language Processing License: Apache License 2.0 URL: https://github.com/hankcs/HanLP Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5e/2e/fce8bc00e68c563aebca4bf845cb15807e50440c0a62fe79ad875e9e21bc/hanlp_common-0.0.19.tar.gz BuildArch: noarch %description # Common utilities and structures for HanLP [中文](https://github.com/hankcs/HanLP/tree/doc-zh) | [1.x](https://github.com/hankcs/HanLP/tree/1.x) | [forum](https://bbs.hankcs.com/) | [docker](https://github.com/WalterInSH/hanlp-jupyter-docker) The multilingual NLP library for researchers and companies, built on PyTorch and TensorFlow 2.x, for advancing state-of-the-art deep learning techniques in both academia and industry. HanLP was designed from day one to be efficient, user friendly and extendable. It comes with pretrained models for various human languages including English, Chinese and many others. Currently, HanLP 2.0 is in alpha stage with more killer features on the roadmap. Discussions are welcomed on our [forum](https://bbs.hankcs.com/), while bug reports and feature requests are reserved for GitHub issues. For Java users, please checkout the [1.x](https://github.com/hankcs/HanLP/tree/1.x) branch. ## Installation ```bash pip install hanlp ``` ## License HanLP is licensed under **Apache License 2.0**. You can use HanLP in your commercial products for free. We would appreciate it if you add a link to HanLP on your website. %package -n python3-hanlp-common Summary: HanLP: Han Language Processing Provides: python-hanlp-common BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-hanlp-common # Common utilities and structures for HanLP [中文](https://github.com/hankcs/HanLP/tree/doc-zh) | [1.x](https://github.com/hankcs/HanLP/tree/1.x) | [forum](https://bbs.hankcs.com/) | [docker](https://github.com/WalterInSH/hanlp-jupyter-docker) The multilingual NLP library for researchers and companies, built on PyTorch and TensorFlow 2.x, for advancing state-of-the-art deep learning techniques in both academia and industry. HanLP was designed from day one to be efficient, user friendly and extendable. It comes with pretrained models for various human languages including English, Chinese and many others. Currently, HanLP 2.0 is in alpha stage with more killer features on the roadmap. Discussions are welcomed on our [forum](https://bbs.hankcs.com/), while bug reports and feature requests are reserved for GitHub issues. For Java users, please checkout the [1.x](https://github.com/hankcs/HanLP/tree/1.x) branch. ## Installation ```bash pip install hanlp ``` ## License HanLP is licensed under **Apache License 2.0**. You can use HanLP in your commercial products for free. We would appreciate it if you add a link to HanLP on your website. %package help Summary: Development documents and examples for hanlp-common Provides: python3-hanlp-common-doc %description help # Common utilities and structures for HanLP [中文](https://github.com/hankcs/HanLP/tree/doc-zh) | [1.x](https://github.com/hankcs/HanLP/tree/1.x) | [forum](https://bbs.hankcs.com/) | [docker](https://github.com/WalterInSH/hanlp-jupyter-docker) The multilingual NLP library for researchers and companies, built on PyTorch and TensorFlow 2.x, for advancing state-of-the-art deep learning techniques in both academia and industry. HanLP was designed from day one to be efficient, user friendly and extendable. It comes with pretrained models for various human languages including English, Chinese and many others. Currently, HanLP 2.0 is in alpha stage with more killer features on the roadmap. Discussions are welcomed on our [forum](https://bbs.hankcs.com/), while bug reports and feature requests are reserved for GitHub issues. For Java users, please checkout the [1.x](https://github.com/hankcs/HanLP/tree/1.x) branch. ## Installation ```bash pip install hanlp ``` ## License HanLP is licensed under **Apache License 2.0**. You can use HanLP in your commercial products for free. We would appreciate it if you add a link to HanLP on your website. %prep %autosetup -n hanlp-common-0.0.19 %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-hanlp-common -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 0.0.19-1 - Package Spec generated