%global _empty_manifest_terminate_build 0
Name:		python-ann_visualizer
Version:	2.5
Release:	1
Summary:	A python library for visualizing Neural Networks
License:	MIT
URL:		https://github.com/Prodicode/ann-visualizer
Source0:	https://mirrors.aliyun.com/pypi/web/packages/db/51/157be500337fba347e32711aaf9f11c1ba9e1162f486a1d708b4ae594ea4/ann_visualizer-2.5.tar.gz
BuildArch:	noarch


%description
ANN Visualizer is a great visualization python library used to work with Keras. It uses python's graphviz library to create a presentable graph of the neural network you are building.

    Usage:


from ann_visualizer.visualize import ann_viz;
#Build your model here
ann_viz(model)



Documentation:

ann_viz(model, view=True, filename="network.gv")

 model - The Keras Sequential model
 view - If True, it opens the graph preview after executed
 filename - Where to save the graph. (.gv file format)

%package -n python3-ann_visualizer
Summary:	A python library for visualizing Neural Networks
Provides:	python-ann_visualizer
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-ann_visualizer
ANN Visualizer is a great visualization python library used to work with Keras. It uses python's graphviz library to create a presentable graph of the neural network you are building.

    Usage:


from ann_visualizer.visualize import ann_viz;
#Build your model here
ann_viz(model)



Documentation:

ann_viz(model, view=True, filename="network.gv")

 model - The Keras Sequential model
 view - If True, it opens the graph preview after executed
 filename - Where to save the graph. (.gv file format)

%package help
Summary:	Development documents and examples for ann_visualizer
Provides:	python3-ann_visualizer-doc
%description help
ANN Visualizer is a great visualization python library used to work with Keras. It uses python's graphviz library to create a presentable graph of the neural network you are building.

    Usage:


from ann_visualizer.visualize import ann_viz;
#Build your model here
ann_viz(model)



Documentation:

ann_viz(model, view=True, filename="network.gv")

 model - The Keras Sequential model
 view - If True, it opens the graph preview after executed
 filename - Where to save the graph. (.gv file format)

%prep
%autosetup -n ann_visualizer-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-ann_visualizer -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.5-1
- Package Spec generated