added floodfill network visualization script

scripts/floodfill-network-visualizer.py

@@ -0,0 +1,33 @@
+import networkx as nx
+import matplotlib.pyplot as plt
+import sys
+import os
+import subprocess
+import base64
+if not os.path.exists('onionr.sh'):
+    os.chdir('../')
+sys.path.append("src/")
+from streamfill import identify_neighbors
+
+G = nx.Graph()
+size = 20
+
+onions = []
+p = subprocess.Popen(["scripts/generate-onions.py", str(size)],
+                        stdout=subprocess.PIPE,
+                        stderr=subprocess.PIPE)
+for line in iter(p.stdout.readline, b''):
+    line = line.decode().strip()
+    onions.append(line)
+    G.add_node(line[:4])
+
+for onion in onions:
+    neighbors = identify_neighbors(onion, onions, 0.25 * size)
+    for neighbor in neighbors:
+        G.add_edge(onion[:4], neighbor[:4])
+
+#nx.draw(G, with_labels=True, font_weight='bold')
+#nx.draw_shell(G, with_labels=True)
+#nx.draw_random(G, with_labels=True)
+nx.draw_kamada_kawai(G, with_labels=True)
+plt.savefig("graph.png")