%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