我正尝试在Python中运行一种学习算法，该算法将确定竞技Fortnite锦标赛的最佳格式。
我现在遇到的问题是我的程序在比赛期间偶而停顿，看似随机。我尝试定位问题，但没有成功。我认为问题可能出在我算法中的球员具有给定的打法，如果太低，球员将不会与任何人打架，这可能导致比赛中没人攻击任何人，但是我没有知道解决方法。
这些是play_match()方法，Player类，以及我如何创建球员和比赛的方法。
all_sorted_players = []
player_amt = random.randint(75000,90000) # I make this lower when coding and higher when leaving it to run overnight
for i in range(player_amt - len(all_players)): # Used so I can manually add players above
skill_bias = 1 # between .8 and 1.2 (lower = lower skill tourney,higher = higher skill tourney)
p_skill = random.randint(0,100) + random.random() # The only true random variable
name = ''.join((random.choice(Syntax) for x in range(random.randint(3,20))))
min_skill = 0
max_skill = int(p_skill*10)
skill = random.randint(min_skill,max_skill)*skill_bias
play_style = ((p_skill / 100) * 10 + random.random()) / 10
drop_spot = -1
rotation = random.randint(int(p_skill/2*10),int(p_skill*30))
while drop_spot == -1:
b1 = int((max_skill/10 + random.randint(1,5) - skill/10) / 5)
b2 = 1 - play_style
drop_spot = int(b1 * b2)
if drop_spot > 30:
drop_spot /= 2
drop_spot += random.randint(1,3) - random.randint(1,3)
elif drop_spot < 1:
drop_spot = 1
all_players.append(Player(skill,rotation,drop_spot,play_style,name))
player_pool.append(Player(skill,name))
# I cut out all `print()`s and
class Player:
points = 0
points_match = 0
kills = 0
t_kills = 0
matches = 0
placement_match = 0
avg_placement = 0
total_placement = 0
wins = 0
match_report = []
def __init__(self,mech,name):
self._skill = mech
self._rotate = rotation
self._drop_spot = drop_spot # unused for Now
self._play_style = play_style
self._name = name
self._match_report = self.match_report
# I cut out all getters and setters
def play_match(players_in_match,style_bias):
players_alive = len(players_in_match)
pool = players_in_match
while players_alive > 1:
# Simulate the match
if not len(pool) == 2:
for pl in range(len(pool)):
if pl >= len(pool):
break
nums = []
for all_p in range(len(pool)):
if not all_p == pl:
if pool[all_p].get_rotation()/1000 < random.random()/1.02:
nums.append(all_p)
if pool[pl].get_play_style() + style_bias > random.random():
p2 = -1
if len(nums) > 0:
nump = random.randint(0,len(nums) - 1)
p2 = nums[nump]
if p2 != -1:
if (pool[pl].get_skill() + random.random() * 20 + 20) >= (
pool[p2].get_skill() + random.random() * 20):
pool[pl].add_kills(1)
pool[p2].set_placement_match(players_alive)
del (pool[p2])
players_alive -= 1
else:
pool[p2].add_kills(1)
pool[pl].set_placement_match(players_alive)
del (pool[pl])
players_alive -= 1
elif len(pool) == 2:
if (pool[0].get_skill() + random.random() * 20 + 20) >= (
pool[1].get_skill() + random.random() * 20):
pool[0].add_kills(1)
pool[1].set_placement_match(2)
del (pool[1])
players_alive -= 1
else:
pool[1].add_kills(1)
pool[0].set_placement_match(2)
del (pool[0])
players_alive -= 1
if players_alive == 1:
pool[0].set_placement_match(1)
players_alive = len(pool)
Player类和play_match()方法都放在一个文件中（method_storage.py），而代码本身在一个单独的文件中（placement.py）
此问题的一个简单解决方案是使所有玩家变量完全随机，而不是基于skill，但是，这并不是玩家技能的实际表现，因此这不是长期解决方案。这确实表明该问题与Player变量有关，并且可能与匹配的模拟方式有关。
如果您需要其他代码段，请在注释中提问。
