33 lines
902 B
Python
33 lines
902 B
Python
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import networkx as nx
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import matplotlib.pyplot as plt
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import sys
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import os
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import subprocess
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import base64
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if not os.path.exists('onionr.sh'):
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os.chdir('../')
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sys.path.append("src/")
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from streamfill import identify_neighbors
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G = nx.Graph()
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size = 20
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onions = []
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p = subprocess.Popen(["scripts/generate-onions.py", str(size)],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE)
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for line in iter(p.stdout.readline, b''):
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line = line.decode().strip()
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onions.append(line)
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G.add_node(line[:4])
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for onion in onions:
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neighbors = identify_neighbors(onion, onions, 0.25 * size)
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for neighbor in neighbors:
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G.add_edge(onion[:4], neighbor[:4])
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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_random(G, with_labels=True)
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nx.draw_kamada_kawai(G, with_labels=True)
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plt.savefig("graph.png")
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