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- ##%define __python python%(python -c 'import sys;print(sys.version[0:3])')
- ##%define python_sitelib %(python -c 'from distutils.sysconfig import get_python_lib; print get_python_lib(0)')
- ##%define python_sitearch %(python -c 'from distutils.sysconfig import get_python_lib; print get_python_lib(1)')
- Summary: Spam classification system
- Summary(ja): スパムフィルタ・システム
- Name: spambayes
- Group: Applications/Internet
- Version: 1.0.4
- Release: 4%{?_dist_release}
- URL: http://spambayes.sourceforge.net/
- License: PSF (Python Software Foundation) - see LICENSE
- BuildArch: noarch
- Source0: spambayes-%{version}.tar.gz
- Source1: SplitterForU.py
- Patch0: spambayes-1.0.4.ProxyUI-iso2022jp.patch
- Patch1: spambayes-1.0.4.PyMeldLite-iso2022jp.patch
- Patch2: spambayes-1.0.4.tokenizer-iso2022jp.patch
- Patch3: spambayes-1.0.4.Dibbler-iso2022jp.patch
- Patch4: spambayes-1.0.4.ImapUI-RFC2060.patch
- Patch5: spambayes-1.0.4.classifier.patch
- #Prereq: python
- Requires: python >= 2.2
- BuildRequires: python-devel
- Packager: <owa>
- Vendor: Project Vine
- Distribution: Vine Linux
- BuildRoot: %{_tmppath}/%{name}-%{version}-root
- %description
- SpamBayes is a tool used to segregate unwanted mail (spam) from the mail you
- want (ham). Before SpamBayes can be your spam filter of choice you need to
- train it on representative samples of email you receive. After it's been
- trained, you use SpamBayes to classify new mail according to its spamminess
- and hamminess qualities.
- %description -l ja
- SpamBayes は迷惑メール(spam)を、必要なメール(ham)から区別するための道具です。
- SpamBayes をスパムフィルタとして使うには、過去に受け取ったメールを使ってトレ
- ーニングする必要があります。一旦、教え込んでしまえば、新しいメールをスパム度
- や、優良度をもとに分類するために使用できます。
- %prep
- %setup -q
- %patch0 -p1 -b .ProxyUI-iso2022jp
- %patch1 -p1 -b .PyMeldLite-iso2022jp
- %patch2 -p1 -b .tokenizer-iso2022jp
- %patch3 -p1 -b .Dibbler-iso2022jp
- %patch4 -p1 -b .ImapUI-RFC2060
- %patch5 -p1 -b .classifier
- %build
- python setup.py build
- %install
- rm -rf $RPM_BUILD_ROOT
- mkdir -p $RPM_BUILD_ROOT/%{python_sitelib}/spambayes
- python setup.py install --prefix=$RPM_BUILD_ROOT/usr
- install -m 644 %{SOURCE1} $RPM_BUILD_ROOT/%{python_sitelib}/spambayes
- %clean
- rm -rf $RPM_BUILD_ROOT
- %files
- %defattr(-, root, root)
- %{python_sitelib}/spambayes
- %{python_sitelib}/spambayes-%{version}-py%{pyver}.egg-info
- %{_bindir}/*
- %defattr(-, root, root, 755)
- %doc *.txt PKG-INFO
- %changelog
- * Wed Feb 03 2010 Shu KONNO <owa@bg.wakwak.com> 1.0.4-4
- - rebuilt with python-2.6.4
- * Fri Aug 07 2009 Shu KONNO <owa@bg.wakwak.com> - 1.0.4-3
- - added BR: python-devel
- - dropt local macros
- * Sun Jul 20 2008 Shu KONNO <owa@bg.wakwak.com> 1.0.4-2vl5
- - rebuilt with python-2.5.2
- * Sat Jun 14 2008 Shu KONNO <owa@bg.wakwak.com> 1.0.4-1vl5
- - applied new versioning policy and spec in utf-8
- - added python_sitelib macro
- * Tue Oct 31 2006 Shu KONNO <owa@bg.wakwak.com> 1.0.4-0vl4
- - updated Patch2: spambayes-1.0.4.tokenizer-iso2022jp.patch
- - added Patch5: spambayes-1.0.4.classifier.patch
- * Sat May 20 2006 Ryoichi INAGAKI <ryo1@bc.wakwak.com> 1.0.4-0vl3
- - changed Group to Applications/Internet
- * Sun Sep 11 2005 Shu KONNO <owa@bg.wakwak.com> 1.0.4-0vl2
- - released new spambayes package
- - added Source1: SplitterForU.py
- - added Patch0: spambayes-1.0.4.ProxyUI-iso2022jp.patch
- - added Patch1: spambayes-1.0.4.PyMeldLite-iso2022jp.patch
- - added Patch2: spambayes-1.0.4.tokenizer-iso2022jp.patch
- - added Patch3: spambayes-1.0.4.Dibbler-iso2022jp.patch
- - added Patch4: spambayes-1.0.4.ImapUI-RFC2060.patch
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