else:
# Refresh the experiment
logger.debug("Found manager for experiment %s" % experiment.id)
managers[experiment.id].experiment = experiment
# Check every one of them
logger.debug("Checking experiment managers. There are %d of them. pid: %d" % (len(managers), os.getpid()))
managers_to_delete = []
for exp_id, manager in managers.items():
# Refresh the experiment first
manager.refresh_experiment()
# Manager experiment is gone, we dont need it anymore
if not manager.experiment:
managers_to_delete.append(exp_id)
elif manager.finished():
logger.debug('Manager for experiment id: %s is done' % exp_id)
managers_to_delete.append(exp_id)
else:
logger.debug('Commission simulations as needed for experiment id: %s' % exp_id)
n_commissioned_sims = manager.commission_simulations()
logger.debug('Experiment done (re)commissioning %d simulation(s)' % n_commissioned_sims)
# Delete the managers that needs to be deleted
for exp_id in managers_to_delete:
del managers[exp_id]
# No more active managers -> Exit if our analyzer threads are done
# Do not use len() to not block anything
if not managers: break
'''Signal the run() to shutdown before joining'''
self.alive.clear()
super(MD5Cracker, self).join(timeout)
# Graceful clean up
def cleanup():
for worker in workers:
worker.join()
atexit.register(cleanup)
# init vars
workers = []
work_queue = Manager().Queue()
global_namespace = Manager().Namespace()
global_namespace.finished = False
global_namespace.count = 0
# Set up Processes
number_of_processes = 16
for i in range(number_of_processes):
worker = MD5Cracker(work_queue, global_namespace)
worker.start()
workers.append(worker)
print "Target Hash: {}".format(hash)
maxChars = 13
while_count = 1
for baseWidth in range(1, maxChars + 1):
