added floodfill network visualization script
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@ -10,7 +10,7 @@ sys.path.append("src/")
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from streamfill import identify_neighbors
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from streamfill import identify_neighbors
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G = nx.Graph()
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G = nx.Graph()
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size = 20
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size = 1000
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onions = []
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onions = []
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p = subprocess.Popen(["scripts/generate-onions.py", str(size)],
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p = subprocess.Popen(["scripts/generate-onions.py", str(size)],
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@ -19,15 +19,15 @@ p = subprocess.Popen(["scripts/generate-onions.py", str(size)],
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for line in iter(p.stdout.readline, b''):
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for line in iter(p.stdout.readline, b''):
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line = line.decode().strip()
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line = line.decode().strip()
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onions.append(line)
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onions.append(line)
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G.add_node(line[:4])
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G.add_node(line[:6])
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for onion in onions:
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for onion in onions:
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neighbors = identify_neighbors(onion, onions, 0.25 * size)
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neighbors = identify_neighbors(onion, onions, 0.15 * size)
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for neighbor in neighbors:
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for neighbor in neighbors:
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G.add_edge(onion[:4], neighbor[:4])
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G.add_edge(onion[:6], neighbor[:6])
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#nx.draw(G, with_labels=True, font_weight='bold')
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#nx.draw(G, with_labels=True, font_weight='bold')
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#nx.draw_shell(G, with_labels=True)
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#nx.draw_shell(G, with_labels=True)
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#nx.draw_random(G, with_labels=True)
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#nx.draw_random(G, with_labels=True)
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nx.draw_kamada_kawai(G, with_labels=True)
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nx.draw_kamada_kawai(G)
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plt.savefig("graph.png")
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plt.savefig("graph.png")
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@ -82,6 +82,7 @@ HashedControlPassword """ + str(password) + """
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HiddenServiceNumIntroductionPoints 20
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HiddenServiceNumIntroductionPoints 20
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HiddenServiceMaxStreams 500
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HiddenServiceMaxStreams 500
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HiddenServiceMaxStreamsCloseCircuit 1
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HiddenServiceMaxStreamsCloseCircuit 1
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DisableNetwork 1
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HiddenServicePort 80 """ + api_server_ip + """:""" + str(hs_port)
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HiddenServicePort 80 """ + api_server_ip + """:""" + str(hs_port)
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torrc_data = add_bridges(torrc_data)
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torrc_data = add_bridges(torrc_data)
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