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- import os
- from pypdevs.simulator import Simulator
- from plot_template import make_plot_ships_script, make_plot_box_script
- # from system_solution import * # Teacher's solution
- from system import *
- ## Parameters ##
- gen_num = 500 # how many ships to generate
- # How often to generate a ship (on average)
- gen_rate = 1/60/4 # once every 4 minutes
- # Ship size will be sampled uniformly from the following list.
- gen_types = [1,1,2] # ship size '1' twice as likely to be generated as ship size '2'
- # Load balancer...
- priorities = {
- # you can outcomment one of these lines to reduce the number of experiments (useful for debugging):
- PRIORITIZE_BIGGER_SHIPS: "bigger",
- PRIORITIZE_SMALLER_SHIPS: "smaller",
- }
- strategies = {
- # you can outcomment one of these lines to reduce the number of experiments (useful for debugging):
- STRATEGY_ROUND_ROBIN: "roundrobin",
- STRATEGY_FILL_ER_UP: "fillerup",
- }
- # The number of locks and their capacities
- lock_capacities=[3,2] # two locks, of capacity 3 and 2
- # The different parameters to try for max_wait_duration
- max_wait_durations = [ 0.0+i*120.0 for i in range(5) ] # all these values will be attempted
- # max_wait_durations = [ 15.0 ] # <-- uncomment if you only want to run an experiment with this value (useful for debugging)
- # How long does it take for a ship to pass through a lock
- passthrough_duration = 60.0*15 # 15 minutes
- outdir = "assignment_output"
- plots_ships = []
- plots_box = []
- os.makedirs(outdir, exist_ok=True)
- # try all combinations of priorities and strategies (4 total)
- for priority in priorities:
- for strategy in strategies:
- values = []
- # and in each experiment, try a bunch of different values for the 'max_wait_duration' parameter:
- for max_wait_duration in max_wait_durations:
- print("Run simulation:", priorities[priority], strategies[strategy], "max_wait =",max_wait_duration)
- sys = LockQueueingSystem(
- # See system.py for explanation of these values:
- seed=0,
- gen_num=gen_num,
- gen_rate=gen_rate,
- gen_types=gen_types,
- load_balancer_strategy=strategy,
- lock_capacities=lock_capacities,
- priority=priority,
- max_wait_duration=max_wait_duration,
- passthrough_duration=passthrough_duration,
- )
- sim = Simulator(sys)
- sim.setClassicDEVS()
- # sim.setVerbose() # <-- uncomment to see what's going on
- sim.simulate()
- # all the ships that made it through
- ships = sys.sink.state.ships
- values.append([ship.queueing_duration for ship in ships])
- # Write out all the ship queueuing durations for every 'max_wait_duration' parameter
- # for every ship, we write a line:
- # <ship_num>, time_max_wait0, time_max_wait1, time_max_wait2, ... time_max_wait10
- filename = f'{outdir}/output_{strategies[strategy]}_{priorities[priority]}.csv'
- with open(filename, 'w') as f:
- try:
- for i in range(gen_num):
- f.write("%s" % i)
- for j in range(len(values)):
- f.write(", %5f" % (values[j][i]))
- f.write("\n")
- except IndexError as e:
- raise Exception("There was an IndexError, meaning that fewer ships have made it to the sink than expected.\nYour model is not (yet) correct.") from e
- # Generate gnuplot code:
- plots_ships.append(make_plot_ships_script(
- priority=priorities[priority],
- strategy=strategies[strategy],
- max_waits=max_wait_durations,
- gen_num=gen_num,
- ))
- plots_box.append(make_plot_box_script(
- priority=priorities[priority],
- strategy=strategies[strategy],
- max_waits=max_wait_durations,
- gen_num=gen_num,
- ))
- # Finally, write out a single gnuplot script that plots everything
- with open(f'{outdir}/plot.gnuplot', 'w') as f:
- # first plot the ships
- f.write('\n\n'.join(plots_ships))
- # then do the box plots
- f.write('\n\n'.join(plots_box))
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