Source: dspam
Section: mail
Priority: optional
Maintainer: Debian DSPAM Maintainers <pkg-dspam-misc@lists.alioth.debian.org>
Uploaders: Julien Valroff <julien@debian.org>,
           Thomas Preud'homme <robotux@debian.org>
Build-Depends: debhelper (>= 9.0.0), dh-autoreconf, libtool, automake,
               zlib1g-dev, libmysqlclient-dev, libpq-dev, libsqlite3-dev,
               libldap2-dev
Standards-Version: 3.9.5
Homepage: http://dspam.sourceforge.net
Vcs-Git: git://anonscm.debian.org/pkg-dspam/dspam.git
Vcs-Browser: http://anonscm.debian.org/gitweb/?p=pkg-dspam/dspam.git;a=summary

Package: dspam
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${perl:Depends},
         lsb-base (>= 3.0-6), libdspam7-drv-hash (= ${binary:Version})
         | libdspam7-drv-mysql (= ${binary:Version})
         | libdspam7-drv-pgsql (= ${binary:Version})
         | libdspam7-drv-sqlite3 (= ${binary:Version})
Recommends: procmail | maildrop | courier-maildrop | sensible-mda, dspam-doc
Suggests: clamav-daemon, dspam-webfrontend
Description: Scalable, fast and statistical anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package includes the DSPAM agent which provides.

Package: dspam-webfrontend
Priority: extra
Architecture: all
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${perl:Depends}, dspam (>= ${source:Version}),
         ucf (>= 0.28), libgd-gd2-perl | libgd-gd2-noxpm-perl,
         libgd-graph3d-perl, libhtml-parser-perl
Suggests: apache2, apache2-suexec (>= 2.2.9-3), libapache2-mod-perl2,
          libapache2-mod-auth-pam | libapache2-mod-auth-mysql
          | libapache2-mod-auth-pgsql | libapache2-mod-auth-openid
          | libapache2-mod-auth-kerb | libapache2-mod-auth-plain
          | libapache2-mod-auth-radius | libapache2-mod-auth-sys-group,
          ttf-dejavu-core | ttf-bitstream-vera | ttf-freefont
Description: Webfrontend for DSPAM anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package includes the webfrontend for DSPAM. This can be used together
 with several database backends including PostgreSQL, MySQL, and sqlite3.

Package: libdspam7
Section: libs
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}, adduser
Suggests: libdspam7-drv-hash (= ${binary:Version})
          | libdspam7-drv-pgsql (= ${binary:Version})
          | libdspam7-drv-mysql (= ${binary:Version})
          | libdspam7-drv-sqlite3 (= ${binary:Version})
Description: Core message processing and classification functionality for DSPAM
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the library where people can link to.

Package: libdspam7-dev
Section: libdevel
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, libdspam7 (= ${binary:Version})
Description: Development headers for libdspam
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the development headers for libdspam.

Package: libdspam7-drv-hash
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}, libdspam7 (= ${binary:Version})
Description: Hash backend for DSPAM anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the hash backend.

Package: libdspam7-drv-pgsql
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}, libdspam7 (= ${binary:Version}),
         dbconfig-common, ucf (>= 0.28), postgresql-client
Recommends: postgresql
Description: PostgreSQL backend for DSPAM anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the PostgreSQL backend.

Package: libdspam7-drv-mysql
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}, libdspam7 (= ${binary:Version}),
         dbconfig-common, ucf (>= 0.28), mysql-client
Recommends: mysql-server
Description: MySQL backend for DSPAM anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the MySQL backend.

Package: libdspam7-drv-sqlite3
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}, sqlite3,
         libdspam7 (= ${binary:Version})
Description: sqlite3 backend for DSPAM anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the sqlite3 backend.

Package: dspam-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}
Description: Documentation for DSPAM anti-spam filter
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package contains the documentation for DSPAM.

Package: dspam-dbg
Section: debug
Architecture: any
Depends: ${misc:Depends}, dspam (= ${binary:Version})
Priority: extra
Description: debugging symbols for dspam
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package includes the debugging symbols for the dspam package.

Package: libdspam7-dbg
Section: debug
Architecture: any
Depends: ${misc:Depends}, libdspam7 (= ${binary:Version})
Recommends: libdspam7-drv-hash (= ${binary:Version}),
            libdspam7-drv-mysql (= ${binary:Version}),
            libdspam7-drv-pgsql (= ${binary:Version}),
            libdspam7-drv-sqlite3 (= ${binary:Version})
Suggests: libc-dbg
Priority: extra
Description: debugging symbols for DSPAM related libraries
 DSPAM is a dedicated statistical filter with minimal resources. It includes
 many new algorithms to fight against spam including:
  * Concept Identification
  * Message Inoculation
  * Advanced de-obfuscation techniques
  * Bayesian Noise Reduction
 .
 This package includes the debugging symbols for DSPAM related libraries.
