Using Cython !

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Jean Sirmai 2021-04-09 16:16:44 +02:00
parent 912d818c4e
commit 0153fc300c
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GPG Key ID: FB3115C340E057E3
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import threading
import time
import random
class CurrentlyComputing(Exception):
pass
class SuccessfulOperation(Exception):
pass
class FailedOperation(Exception):
pass
class LocalThread(threading.Thread):
def __init__(self, id, address, orientation, transitions):
threading.Thread.__init__(self)
self.id = id
self.address = address
self.orientation = orientation
self.transitions = transitions
self.returncode = CurrentlyComputing()
def run(self):
print("Thread local n°{} parle depuis {} !".format(self.id, self.address))
self.returncode = SuccessfulOperation()
time.sleep(random.randint(0,3))
pass
"""
a = LocalThread()
Si je lance a.run()
0) a est un LocalThread. Python charge donc la liste des fonctions de LocalThread
1) on demande la fonction run() de LocalThread
2) L'instance concernée est a, on lance donc run(a)
"""
class User:
stop = False
class GreatScheduler(threading.Thread):
def __init__(self, preemption_space, arrow_list, n_thread):
threading.Thread.__init__(self)
self.preemption_space = preemption_space
self.arrow_list = arrow_list
self.n_thread = n_thread
self.cur_id = -1
def run(self):
thread_list = []
while not User.stop:
#print("--- Mesures et écoute ---")
#print("Espace global de préemption :\t {}".format(self.preemption_space))
#print("Liste des flèches :\t {}".format(self.arrow_list))
## Tirer une flêche au hasard
n = int(random.random()*len(self.arrow_list))
elected_arrow = self.arrow_list[n]
## Vérification de l'espace global de préemption autour de la flêche
if not(len(thread_list) >= self.n_thread) and self.preemption_space[elected_arrow[0]]:
print("Espace local libre à {}".format(elected_arrow[0]))
self.preemption_space[elected_arrow[0]] = False
## Création du thread local
self.cur_id += 1
thread_list.append(
LocalThread(self.cur_id,
elected_arrow[0],
elected_arrow[1],
TRANSITIONS_TREE
)
)
## Lancer le thread local
thread_list[-1].start()
for thread in thread_list:
if not thread.is_alive():
if not thread.returncode.__class__ is SuccessfulOperation:
if thread.returncode.__class__ is FailedOperation:
print("A optimiser : créer une règle")
else:
raise thread.returncode
print("Thread local n°{} est terminé".format(thread.id))
self.preemption_space[thread.address] = True
thread_list.pop(thread_list.index(thread))
## Sortie du scheduler
print("Attente de la fin des thread locaux")
for thread in thread_list:
thread.join()
if not thread.returncode.__class__ is SuccessfulOperation:
if thread.returncode.__class__ is FailedOperation:
print("A optimiser : créer une règle")
else:
raise thread.returncode
print("Thread local n°{} est terminé".format(thread.id))
ARROW_NUMBER = 150
SPACE_SIZE = 100
PREEMPTION_GLOBAL_SPACE = [True] * SPACE_SIZE
ARROW_LIST = [(random.randint(0,SPACE_SIZE - 1),0) for x in range(ARROW_NUMBER)]
TRANSITIONS_TREE = None
MAX_THREAD = 50
scheduler = GreatScheduler(PREEMPTION_GLOBAL_SPACE, ARROW_LIST, MAX_THREAD)
def test():
scheduler.start()
time.sleep(10)
User.stop = True