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from csv import DictReader
import sys
from cPickle import dump
from os.path import splitext
def build_network(filename):
victims = {}
non_victims = {}
age = 0
with open(filename) as fh:
reader = DictReader(fh)
for row in reader:
from_, to = int(float(row["from"])), int(float(row["to"]))
dist = int(row["dist"])
w1, w2, w3 = float(row["w1"]), float(row["w2"]), float(row["w3"])
# if int(float(row["dist"])) > 1:
# continue
# 'to' is a victim
if row["t2"] != "NA":
dt = int(row["t2"]) - int(row["t1"])
parent = (from_, dist, dt, w1, w2, w3)
if to not in victims:
age += int(row["t2"]) - int(row["spawn2"])
victims[to] = []
victims[to].append(parent)
if from_ not in victims:
age += int(row["t1"]) - int(row["spawn1"])
victims[from_] = []
# 'to' is not a victim
else:
dt = 1000 - int(row["t1"])
parent = (from_, dist, dt, w1, w2, w3)
if to not in non_victims:
# age += 3012 - int(row["spawn2"])
non_victims[to] = []
non_victims[to].append(parent)
if from_ not in victims:
age += int(row["t1"]) - int(row["spawn1"])
victims[from_] = []
root_victims = {}
print sorted(victims.keys())
# print victims
for victim in victims.keys():
if not victims[victim]:
del victims[victim]
root_victims[victim] = []
print sorted(root_victims.keys())
print len(root_victims), len(victims), len(non_victims)
return root_victims, victims, non_victims, age
if __name__ == "__main__":
if len(sys.argv) < 2:
sys.exit("usage: {0} <file>".format(sys.argv[0]))
filename = sys.argv[1]
root, _ = splitext(filename)
root_victims, victims, non_victims, age = build_network(filename)
dump((root_victims, victims, non_victims, age), open(root + ".pickle", "w"))
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