def run(args, shared_blocked, shared_dropped, run_seed):
np.random.seed(run_seed) # scipy uses numpy seeds
args.seed = run_seed
simulator = Simulator(args) # init simulator
# capture stats
# step-wise statistics no longer required
# blocked_arr = []
# dropped_arr = []
num_inits = num_handover = num_terminate = 0
warmed_up = False
for step in range(args.steps):
if step > args.warmup and not warmed_up:
simulator.reset()
warmed_up = True
# print('Simulator reset')
# print(f'Total Calls: {simulator.total_calls}')
# print(f'Blocked Calls: {simulator.blocked_calls}')
# print(f'Dropped Calls: {simulator.dropped_calls}')
# print('Leaving simulator reset')
event = simulator.FEL.dequeue()
simulator.clock = event.time # advance clock to event
if isinstance(event, CallInit):
simulator.handle_call_init(event)
num_inits += 1
elif isinstance(event, CallHandover):
num_handover += 1
if args.num_reserve == 0:
simulator.handle_call_handover_no_res(event)
else:
simulator.handle_call_handover_res(event)
elif isinstance(event, CallTerminate):
num_terminate += 1
simulator.handle_call_termination(event)
else:
raise TypeError("Wrong event type in FEL")
# if warmed_up: # only start collecting when warmed up
# assert simulator.total_calls != 0
# percent_blocked = (simulator.blocked_calls / simulator.total_calls) * 100
# percent_dropped = (simulator.dropped_calls / simulator.total_calls) * 100
# blocked_arr.append(percent_blocked)
# dropped_arr.append(percent_dropped)
# compute final run statistics
# for debugging
# print(f'Total Calls: {simulator.total_calls}')
# print(f'Blocked Calls: {simulator.blocked_calls}')
# print(f'Dropped Calls: {simulator.dropped_calls}')
run_blocked = (simulator.blocked_calls / simulator.total_calls) * 100
run_dropped = (simulator.dropped_calls / simulator.total_calls) * 100
# store results in shared list
shared_blocked.append(run_blocked)
shared_dropped.append(run_dropped)
def main(args):
check_path = Path(f'./results/warmups/res_{args.num_reserve}_blocked.npy')
# capture stats
blocked_arr = []
dropped_arr = []
num_inits = num_handover = num_terminate = 0
if not check_path.exists():
# set the base seed
np.random.seed(args.seed)
simulator = Simulator(args) # init simulator
# for step in tqdm(range(args.steps), leave=False):
for step in tqdm(range(args.steps)):
event = simulator.FEL.dequeue()
simulator.clock = event.time # advance clock to event
# clock_times.append(simulator.clock)
if isinstance(event, CallInit):
simulator.handle_call_init(event)
num_inits += 1
elif isinstance(event, CallHandover):
num_handover += 1
if args.num_reserve == 0:
simulator.handle_call_handover_no_res(event)
else:
simulator.handle_call_handover_res(event)
elif isinstance(event, CallTerminate):
num_terminate += 1
simulator.handle_call_termination(event)
else:
raise TypeError("Wrong event type in FEL")
blocked_arr.append(
(simulator.blocked_calls / simulator.total_calls) * 100)
dropped_arr.append(
(simulator.dropped_calls / simulator.total_calls) * 100)
np.save(f'./results/warmups/res_{args.num_reserve}_blocked.npy',
blocked_arr)
np.save(f'./results/warmups/res_{args.num_reserve}_dropped.npy',
dropped_arr)
else:
blocked_arr = np.load(
f'./results/warmups/res_{args.num_reserve}_blocked.npy')
dropped_arr = np.load(
f'./results/warmups/res_{args.num_reserve}_dropped.npy')
fig, ax = plt.subplots()
############################ UNUSED ########################
# plt.plot(clock_times, blocked_percents, label='blocked')
# plt.plot(clock_times, dropped_percents, label="dropped")
# plt.xlabel('clock times')
############################################################
ax.plot(blocked_arr, label='blocked')
ax.plot(dropped_arr, label="dropped")
ax.vlines(x=args.plot_at,
ymin=-0.1,
ymax=args.ymax,
color='r',
linestyle='dashed')
ax.set_xlabel('Number of Events')
ax.set_ylabel('Percentages')
plt.legend()
ax.set_title('Percentages of Dropped and Blocked Calls')
fig.savefig(f'./images/warmups/res_{args.num_reserve}.png')
def main(args):
# set the base seed
np.random.seed(args.seed)
final_blocked_arr = []
final_dropped_arr = []
seeds = list(np.random.randint(1, 20381, size=args.reps))
print(f'Seeds: {seeds}')
for rep in tqdm(range(args.reps)):
np.random.seed(seeds[rep]) # scipy uses numpy seeds
# print('Simulator initialised')
args.seed = seeds[rep] # so simulator sets correct internal seed
simulator = Simulator(args) # init simulator
# capture stats
blocked_arr = []
dropped_arr = []
num_inits = num_handover = num_terminate = 0
warmed_up = False
# for step in tqdm(range(args.steps), leave=False):
for step in range(args.steps):
# if step % 10000 == 0:
# print(f'Currently in step {step}')
if step > args.warmup and not warmed_up:
# print('Simulator reset')
simulator.reset()
warmed_up = True
event = simulator.FEL.dequeue()
simulator.clock = event.time # advance clock to event
# clock_times.append(simulator.clock)
if isinstance(event, CallInit):
simulator.handle_call_init(event)
num_inits += 1
elif isinstance(event, CallHandover):
num_handover += 1
if args.num_reserve == 0:
simulator.handle_call_handover_no_res(event)
else:
simulator.handle_call_handover_res(event)
elif isinstance(event, CallTerminate):
num_terminate += 1
simulator.handle_call_termination(event)
else:
raise TypeError("Wrong event type in FEL")
if warmed_up: # only start collecting when warmed up
# print("total calls", simulator.total_calls)
#! BUG FOUND, not the fault of the pool!!!
# I had just reset and then entered this section where I attempt to divide by 0
assert simulator.total_calls != 0
percent_blocked = (simulator.blocked_calls / simulator.total_calls) * 100
percent_dropped = (simulator.dropped_calls / simulator.total_calls) * 100
blocked_arr.append(percent_blocked)
dropped_arr.append(percent_dropped)
final_blocked_arr.append(np.mean(blocked_arr))
final_dropped_arr.append(np.mean(dropped_arr))
np.save(f'./results/reps_{args.reps}_blocked.npy', final_blocked_arr)
np.save(f'./results/reps_{args.reps}_dropped.npy', final_dropped_arr)