automatic import of python-lazybox

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+%global _empty_manifest_terminate_build 0
+Name:		python-lazybox
+Version:	0.0.2.5
+Release:	1
+Summary:	A description of your project
+License:	MIT License
+URL:		https://github.com/limiteinductive/Databox/tree/main/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/6d/9c/05b589abb45da148071dcbe8f6cbf72c914923cc3d0d8af7ad8810a28ecc/lazybox-0.0.2.5.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pip
+Requires:	python3-packaging
+Requires:	python3-fastai
+Requires:	python3-plum-dispatch
+Requires:	python3-Levenshtein
+Requires:	python3-fuzzywuzzy
+
+%description
+# LazyBox
+> A user friendly API to jump-start your Deep Learning project based on Fastai. 
+
+
+The library is still in early development, but a lot of new features will be added in future
+
+    [ ] Support for non-image Datasets
+    [ ] Import NN architecture from the timm library
+    [ ] Make it better
+
+## Install
+
+`pip install lazybox`
+
+## How to use
+
+Let's go through a typical workflow for a DeepLearning task. Let's download this Dataset on Kaggle: https://www.kaggle.com/tongpython/cat-and-dog which are images of cat and dogs.
+
+```
+# we lazy folks only use wild imports
+from lazybox.all import *
+
+path = Path('test_dataset')
+
+path.find('archive')
+```
+
+
+
+
+    'test_dataset/archive.zip'
+
+
+
+Let's decompress this archive
+
+
+
+
+%package -n python3-lazybox
+Summary:	A description of your project
+Provides:	python-lazybox
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-lazybox
+# LazyBox
+> A user friendly API to jump-start your Deep Learning project based on Fastai. 
+
+
+The library is still in early development, but a lot of new features will be added in future
+
+    [ ] Support for non-image Datasets
+    [ ] Import NN architecture from the timm library
+    [ ] Make it better
+
+## Install
+
+`pip install lazybox`
+
+## How to use
+
+Let's go through a typical workflow for a DeepLearning task. Let's download this Dataset on Kaggle: https://www.kaggle.com/tongpython/cat-and-dog which are images of cat and dogs.
+
+```
+# we lazy folks only use wild imports
+from lazybox.all import *
+
+path = Path('test_dataset')
+
+path.find('archive')
+```
+
+
+
+
+    'test_dataset/archive.zip'
+
+
+
+Let's decompress this archive
+
+
+
+
+%package help
+Summary:	Development documents and examples for lazybox
+Provides:	python3-lazybox-doc
+%description help
+# LazyBox
+> A user friendly API to jump-start your Deep Learning project based on Fastai. 
+
+
+The library is still in early development, but a lot of new features will be added in future
+
+    [ ] Support for non-image Datasets
+    [ ] Import NN architecture from the timm library
+    [ ] Make it better
+
+## Install
+
+`pip install lazybox`
+
+## How to use
+
+Let's go through a typical workflow for a DeepLearning task. Let's download this Dataset on Kaggle: https://www.kaggle.com/tongpython/cat-and-dog which are images of cat and dogs.
+
+```
+# we lazy folks only use wild imports
+from lazybox.all import *
+
+path = Path('test_dataset')
+
+path.find('archive')
+```
+
+
+
+
+    'test_dataset/archive.zip'
+
+
+
+Let's decompress this archive
+
+
+
+
+%prep
+%autosetup -n lazybox-0.0.2.5
+
+%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-lazybox -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.2.5-1
+- Package Spec generated