gen_time_graph.py

import os
import sys
from time_helper import *

from random import seed
from random import randint

static_graph_file = open(static_graph,"r")
lines = static_graph_file.read().split("\n")
static_graph_file.close()

seed(1)

temporal_list = []
for line in lines:
	if "p" in line:
		nodes = line.split(" ")[2]
		continue
	parts = line.split(" ")
	if len(parts) != 4:
		break
	node = parts[1]
	weight = parts[3]
	for t in range(0,temporal_edges,time_step):
		weight = int(weight) * sample_from_distribution(int(node),int(t))
		temporal_edge = parts[0] + " " +  parts[1] + " "  + parts[2] + " " + str(int(round(weight))) + " " + str(t)
		if  randint(0, 100) > p:
			temporal_list = temporal_list + [temporal_edge]

temporal_graph_file = open(temporal_graph,"w")
temporal_graph_file.write("p sp " + nodes + " " + str(len(temporal_list)) + "\n")
for line in temporal_list:
	temporal_graph_file.write(line + "\n")
temporal_graph_file.close()