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Saataa andagii !

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Lukian 2024-12-17 10:55:50 +01:00
parent d39467f070
commit 10bfdd3fde
4 changed files with 87 additions and 37 deletions
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70
lib/ultra_mastermind_pp_imp.py
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@ -21,8 +21,7 @@ def max_i(array: list[int]) -> int:
max_i = i
return max_i
def new_population(pm, ng, n, ts, tm, alpha, fm): # -> set(list(set(str)), str, int, int, int, float, float, float, int)
def new_population(pm, ng, n, ts, tm, alpha, fm):
"""
fonction qui renvoie une nouvelle population
"""
@ -43,7 +42,7 @@ def new_population(pm, ng, n, ts, tm, alpha, fm): # -> set(list(set(str)), str,
return population
def new_individual(): # -> set(str)
def new_individual():
"""
fonction qui renvoie un nouvel individu
"""
@ -66,7 +65,8 @@ def fitness1(individual, pm) -> int:
"""
sum = 0
for i in range(len(individual["chromozome"])):
sum += abs(ord(individual["chromozome"][i]) - ord(pm[i]))
if i < len(pm) and i < len(individual["chromozome"]):
sum += abs(ord(individual["chromozome"][i]) - ord(pm[i]))
return -sum
def fitness2(individual, pm, alpha) -> int:
@ -76,7 +76,7 @@ def fitness2(individual, pm, alpha) -> int:
match = 0
missed_placed = 0
for i in range(len(individual["chromozome"])):
if i > len(pm):
if i >= len(pm):
missed_placed += len(individual["chromozome"]) - len(pm)
break
elif individual["chromozome"][i] == pm[i]:
@ -104,13 +104,17 @@ def get_fitness(population, individual) -> int:
case _:
return fitness1(individual, population["pm"])
def get_fitness_list(population):
fitness_list = []
for individual in population["individuals"]:
fitness_list.append(get_fitness(population, individual))
return fitness_list
def get_best(population):
"""
Methode qui renvoie le meilleur individu de la population
"""
fitness_list = []
for individual in population["individuals"]:
fitness_list.append(get_fitness(population, individual))
fitness_list = get_fitness_list(population)
return population["individuals"][max_i(fitness_list)]
def print_best(population) -> None:
@ -119,49 +123,57 @@ def print_best(population) -> None:
"""
print(get_best(population)["chromozome"])
def mutate(individual) -> None:
"""
Methode qui change un des caractères du chromozome
"""
new = list(individual["chromozome"])
if random.randint(1, 2) == 1: new.insert(random.randint(0, len(new) - 1), chr(random.randint(0, 255)))
else : new[random.randint(0, len(new) - 1)] = chr(random.randint(0, 255))
individual["chromozome"] = "".join(new)
def select(population) -> None:
"""
Methode qui sélectionne les meilleurs individus
"""
fitness_list = []
for individual in population["individuals"]:
fitness_list.append(get_fitness(population, individual))
fitness_list = get_fitness_list(population)
for i in range(int((1 - population["ts"]) * population["n"])):
least = min_i(fitness_list)
fitness_list.pop(least)
population["individuals"].pop(least)
def get_two_random_individuals(population):
i = random.randint(0, len(population["individuals"]) - 1)
j = random.randint(0, len(population["individuals"]) - 1)
while i == j:
j = random.randint(0, len(population["individuals"]) - 1)
return (population["individuals"][i], population['individuals'][j])
def reproduct(population) -> None:
"""
Methode qui reproduit les individus entre eux jusqu'à obtenir une population de taille N
"""
new = []
while len(population["individuals"]) + len(new) != population["n"]:
i = random.randint(0, len(population["individuals"]) - 1)
j = random.randint(0, len(population["individuals"]) - 1)
while i == j:
j = random.randint(0, len(population["individuals"]) - 1)
indivi_1 = population["individuals"][i]
indivi_2 = population['individuals'][j]
indivi_1, indivi_2 = get_two_random_individuals(population)
avg = (len(indivi_1) + len(indivi_2)) // 2
cut = random.randint(avg // 3, 2 * avg // 3)
while cut > len(indivi_1) or cut > len(indivi_2): cut = random.randint(avg // 3, 2 * avg // 3)
new_chromozome = indivi_1["chromozome"][:cut] + indivi_2["chromozome"][-cut:]
while cut > len(indivi_1) or cut > len(indivi_2):
cut = random.randint(avg // 3, 2 * avg // 3)
new_chromozome = indivi_1["chromozome"][:cut] + indivi_2["chromozome"][cut:]
child = new_individual()
child["chromozome"] = new_chromozome
new.append(child)
population["individuals"] += new
def mutate(individual) -> None:
"""
Methode qui change un des caractères du chromozome
"""
new = list(individual["chromozome"])
dice = random.randint(1,3)
if dice == 1 and len(new) < 30:
new.insert(random.randint(0, len(new) - 1), chr(random.randint(0, 255)))
elif dice == 2 and len(new) > 4:
new.pop(random.randint(0, len(new) - 1))
else :
new[random.randint(0, len(new) - 1)] = chr(random.randint(0, 255))
individual["chromozome"] = "".join(new)
def mutate_pop(population) -> None:
"""
Methode qui mute une partie de la population selon le taut de mutation