%global _empty_manifest_terminate_build 0
Name:		python-ppdeep
Version:	20200505
Release:	1
Summary:	Pure-Python library for computing fuzzy hashes (ssdeep)
License:	Apache Software License
URL:		https://github.com/elceef/ppdeep
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/64/ad/ca722788606970d227b1778c158d4a04ffd8190487fa80b3273e3fa587ac/ppdeep-20200505.tar.gz
BuildArch:	noarch


%description
This is a pure-Python library for computing context triggered piecewise hashes
(CTPH), also called fuzzy hashes, or often ssdeep after the name of a popular
tool. At a very high level, fuzzy hashing is a way to determine whether two
inputs are similar, rather than identical. Fuzzy hashes are widely adopted in
digital forensics and malware detection.
This implementation is based on SpamSum by Dr. Andrew Tridgell.

%package -n python3-ppdeep
Summary:	Pure-Python library for computing fuzzy hashes (ssdeep)
Provides:	python-ppdeep
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-ppdeep
This is a pure-Python library for computing context triggered piecewise hashes
(CTPH), also called fuzzy hashes, or often ssdeep after the name of a popular
tool. At a very high level, fuzzy hashing is a way to determine whether two
inputs are similar, rather than identical. Fuzzy hashes are widely adopted in
digital forensics and malware detection.
This implementation is based on SpamSum by Dr. Andrew Tridgell.

%package help
Summary:	Development documents and examples for ppdeep
Provides:	python3-ppdeep-doc
%description help
This is a pure-Python library for computing context triggered piecewise hashes
(CTPH), also called fuzzy hashes, or often ssdeep after the name of a popular
tool. At a very high level, fuzzy hashing is a way to determine whether two
inputs are similar, rather than identical. Fuzzy hashes are widely adopted in
digital forensics and malware detection.
This implementation is based on SpamSum by Dr. Andrew Tridgell.

%prep
%autosetup -n ppdeep-20200505

%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-ppdeep -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 20200505-1
- Package Spec generated