#================================================================
# Set the seed for the random generator. This will make
# the results reproducible and therefore easier to debug.
#
random.seed(19671111)
node = Node()
# Read the problem from file
node.read_problem(problem_file)
print(str(node))
# Create a initial solution we can optimize from
node.initial_solution()
# Plot the problem
node.plot(id=1, assignment=False)
# Plot the initial solution
node.plot(id=2)
# Use simulated annealing to optimize the initial solution
sa(node)
# Report the solution
with open("report.txt", "w") as report_file:
node.print_solution(report_file)
# Create a visualization in svg
node.plot(id=3)
#print(node)
