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%global _empty_manifest_terminate_build 0
Name: python-yoga
Version: 1.2.2
Release: 1
Summary: Yummy Optimizer for Gorgeous Assets
License: BSD-3-Clause
URL: https://github.com/wanadev/yoga
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5b/1a/8cff7cade42f669afaab14625e12b9093fdb27bff253b346166c8512e625/yoga-1.2.2.tar.gz
Requires: python3-cffi
Requires: python3-imagequant
Requires: python3-mozjpeg-lossless-optimization
Requires: python3-pillow
Requires: python3-pyguetzli
Requires: python3-unidecode
Requires: python3-zopflipy
Requires: python3-nox
Requires: python3-flake8
Requires: python3-black
Requires: python3-pytest
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-codespell
%description
|Github| |Discord| |PYPI Version| |Build Status| |Black| |License|
**YOGA** is a command-line tool and a library that can:
* convert and optimize images from various format to JPEG, PNG and WEBP,
* convert and optimize 3D models from various formats to `glTF and GLB`_.
**Images** are opened using Pillow_ and optimized using Guetzli_ (for JPEGs),
Zopflipng_ (for PNGs) and libwebp_ (for WEBPs).
**3D Models** are converted and optimized using assimp_. If models contain or
reference images, they are processed by YOGA's image optimizer.
EXAMPLE: Converting and optimizing an image from CLI::
yoga image input.png output.png
yoga image --output-format=jpeg --jpeg-quality=84 input.png output.jpg
yoga image --help
EXAMPLE: Converting and optimizing a 3D model from CLI::
yoga model input.fbx output.glb
yoga model --no-graph-optimization --no-meshes-optimization --image-output-format=jpeg --image-jpeg-quality=84 input.fbx output.glb
yoga model --help
%package -n python3-yoga
Summary: Yummy Optimizer for Gorgeous Assets
Provides: python-yoga
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-yoga
|Github| |Discord| |PYPI Version| |Build Status| |Black| |License|
**YOGA** is a command-line tool and a library that can:
* convert and optimize images from various format to JPEG, PNG and WEBP,
* convert and optimize 3D models from various formats to `glTF and GLB`_.
**Images** are opened using Pillow_ and optimized using Guetzli_ (for JPEGs),
Zopflipng_ (for PNGs) and libwebp_ (for WEBPs).
**3D Models** are converted and optimized using assimp_. If models contain or
reference images, they are processed by YOGA's image optimizer.
EXAMPLE: Converting and optimizing an image from CLI::
yoga image input.png output.png
yoga image --output-format=jpeg --jpeg-quality=84 input.png output.jpg
yoga image --help
EXAMPLE: Converting and optimizing a 3D model from CLI::
yoga model input.fbx output.glb
yoga model --no-graph-optimization --no-meshes-optimization --image-output-format=jpeg --image-jpeg-quality=84 input.fbx output.glb
yoga model --help
%package help
Summary: Development documents and examples for yoga
Provides: python3-yoga-doc
%description help
|Github| |Discord| |PYPI Version| |Build Status| |Black| |License|
**YOGA** is a command-line tool and a library that can:
* convert and optimize images from various format to JPEG, PNG and WEBP,
* convert and optimize 3D models from various formats to `glTF and GLB`_.
**Images** are opened using Pillow_ and optimized using Guetzli_ (for JPEGs),
Zopflipng_ (for PNGs) and libwebp_ (for WEBPs).
**3D Models** are converted and optimized using assimp_. If models contain or
reference images, they are processed by YOGA's image optimizer.
EXAMPLE: Converting and optimizing an image from CLI::
yoga image input.png output.png
yoga image --output-format=jpeg --jpeg-quality=84 input.png output.jpg
yoga image --help
EXAMPLE: Converting and optimizing a 3D model from CLI::
yoga model input.fbx output.glb
yoga model --no-graph-optimization --no-meshes-optimization --image-output-format=jpeg --image-jpeg-quality=84 input.fbx output.glb
yoga model --help
%prep
%autosetup -n yoga-1.2.2
%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-yoga -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.2-1
- Package Spec generated
|
