Skip to content
Snippets Groups Projects
__init__.py 2.06 KiB
Newer Older
Tiago Peixoto's avatar
Tiago Peixoto committed
#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2020-2024 Tiago de Paula Peixoto <tiago@skewed.de>
Tiago Peixoto's avatar
Tiago Peixoto committed
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
Tiago Peixoto's avatar
Tiago Peixoto committed
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE.  See the GNU Affero General Public License for more
# details.
Tiago Peixoto's avatar
Tiago Peixoto committed
#
# You should have received a copy of the GNU Affero General Public License along
# with this program.  If not, see <http://www.gnu.org/licenses/>.
Tiago Peixoto's avatar
Tiago Peixoto committed

from .. import *

title = "Skitter IP graph (2005)"
description = """An aggregate snapshot of the Internet Protocol (IP) graph, as measured by the traceroute tool on CAIDA's skitter infrastructure, in 2005.[^icon]
[^icon]: Description obtained from the [ICON](https://icon.colorado.edu) project."""
Tiago Peixoto's avatar
Tiago Peixoto committed
tags = ['Technological', 'Communication', 'Unweighted']
url = 'http://snap.stanford.edu/data/as-skitter.html'
citation = [('"The CAIDA UCSD Macroscopic Skitter Topology Dataset"', 'https://www.caida.org/tools/measurement/skitter/')]
Tiago Peixoto's avatar
Tiago Peixoto committed
icon_hash = '57212e0e461efe0c7a6753b8'
ustream_license = None
upstream_prefix = 'https://snap.stanford.edu/data'
files = [('as-skitter.txt.gz', None, 'snap')]

def fetch_upstream(force=False):
    return fetch_upstream_files(__name__.split(".")[-1], upstream_prefix, files,
                                force)

@cache_network()
@coerce_props()
@annotate()
def parse(alts=None):
    global files
    name = __name__.split(".")[-1]
    for fnames, alt, fmt in files:
        if alts is not None and alt not in alts:
            continue
        if isinstance(fnames, str):
            fnames = [fnames]
        with ExitStack() as stack:
            fs = [stack.enter_context(open_upstream_file(name, fn, "rb")) for fn in fnames]
            g = parse_graph(fs, fmt, directed=False)
        yield alt, g