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diff --git a/python-ppdeep.spec b/python-ppdeep.spec new file mode 100644 index 0000000..18c8851 --- /dev/null +++ b/python-ppdeep.spec @@ -0,0 +1,87 @@ +%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 |