blob: 46a55047e3aeaf59365776995545e7ac699ec982 [file] [log] [blame]
Source: ndn-tools
Priority: extra
Maintainer: Alexander Afanasyev <alexander.afanasyev@ucla.edu>
Build-Depends: debhelper (>= 8.0.0),
dh-systemd (>= 1.5),
python (>= 2.7.0),
pkg-config (>= 0.26),
libpcap-dev,
python-sphinx,
libndn-cxx-dev (>= 0.7.0),
git
Standards-Version: 3.9.2
Section: net
Homepage: http://github.com/named-data/ndn-tools
Vcs-Git: git://github.com/named-data/ndn-tools.git
Vcs-Browser: http://github.com/named-data/ndn-tools
Package: ndn-tools
Architecture: i386 amd64 arm64 armel armhf ppc64el
Depends: ndndump, ndnping, ndnpeek, ndn-dissect, ndnchunks
Description: A collection of essential tools for Named Data Networking
Package: ndndump
Architecture: i386 amd64 arm64 armel armhf ppc64el
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: A traffic analysis tool that captures Interest and Data packets
on the wire, and displays brief information about captured packets.
Package: ndnping
Architecture: i386 amd64 arm64 armel armhf ppc64el
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: Reachability testing tools for Named Data Networking.
Package: ndnpeek
Architecture: i386 amd64 arm64 armel armhf ppc64el
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: ndnpeek and ndnpoke are a pair of programs to respectively request and serve
a single Data packet.
Package: ndn-dissect
Architecture: i386 amd64 arm64 armel armhf ppc64el
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: An NDN packet format inspector. It reads zero or more NDN packets from either
an input file or the standard input, and displays the Type-Length-Value (TLV) structure
of those packets on the standard output.
Package: ndn-dissect-wireshark
Architecture: i386 amd64 arm64 armel armhf ppc64el
Description: Wireshark extension to inspect TLV structure of NDN packets
Package: ndnchunks
Architecture: i386 amd64 arm64 armel armhf ppc64el
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: ndncatchunks and ndnputchunks for for publishing and retrieving segmented content