Removed some dead scripts

scripts/closeness-calculator.py

@@ -1,21 +0,0 @@
-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
-
-onions = []
-p = subprocess.Popen(["scripts/generate-onions.py", '5'],
-                        stdout=subprocess.PIPE,
-                        stderr=subprocess.PIPE)
-for line in iter(p.stdout.readline, b''):
-    line = line.decode()
-    onions.append(line.strip())
-
-
-for onion in onions:
-    print(onion, identify_neighbors(onion, onions, 3))
-

scripts/floodfill-network-visualizer.py

@@ -1,33 +0,0 @@
-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 = 1000
-
-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[:6])
-
-for onion in onions:
-    neighbors = identify_neighbors(onion, onions, 0.15 * size)
-    for neighbor in neighbors:
-        G.add_edge(onion[:6], neighbor[:6])
-
-#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)
-plt.savefig("graph.png")