added weight computation for edges

datasets/raw/processRawWeight.py

@@ -0,0 +1,48 @@
+import sys
+
+if __name__ == "__main__":
+
+    #python processRawWeight.py Graph_1.txt Graph_2.txt Graph_3.txt Graph_4.txt Graph_5.txt Graph_6.txt Graph_7.txt Graph_8.txt
+
+    arg = 0
+    labels = dict()
+    i = 0
+    nodes = dict()
+    edges = []
+    taken = dict()
+    toplabelval = [550, 500, 450, 400, 350, 300, 250, 200]
+    while arg < len(sys.argv) - 1:
+        fname = sys.argv[arg+1]
+        lfile = open(fname, "r")
+        for line in lfile.readlines():
+            tokens = line.strip().split("--")
+            x = tokens[0].strip().replace("\"", "")
+            y = tokens[1].strip().replace("\"", "")
+            if x not in labels:
+                i += 1
+                labels[x] = i
+                nodes[i] = x
+            if y not in labels:
+                i += 1
+                labels[y] = i
+                nodes[i] = y
+
+            if labels[x] > labels[y]:
+                x, y = y, x
+
+            if (x,y) not in taken:
+                edges.append([labels[x], labels[y], toplabelval[arg]])
+                taken[(x,y)] = toplabelval[arg]
+        lfile.close()
+        arg += 1
+
+    ofile = open(fname+".weighted.mtx", "w")
+    nfile = open(fname+".labels", "w")
+    ofile.write("%%MatrixMarket matrix coordinate pattern symmetric\n")
+    ofile.write(str(len(labels)) + " " + str(len(labels)) + " " + str(len(edges)) + "\n")
+    for [a, b, w] in edges:
+        ofile.write(str(a) + " " + str(b) + " " + str(w) + "\n")
+    for v in sorted(labels.values()):
+        nfile.write(str(nodes[v][:16]) + "\n")
+    ofile.close()
+    nfile.close()