結果

問題 No.5018 Let's Make a Best-seller Book
ユーザー Kiri8128
提出日時 2023-10-02 03:40:27
言語 PyPy3
(7.3.15)
結果
AC  
実行時間 143 ms / 400 ms
コード長 8,898 bytes
コンパイル時間 1,300 ms
コンパイル使用メモリ 87,256 KB
実行使用メモリ 93,072 KB
スコア 163,196
平均クエリ数 52.00
最終ジャッジ日時 2023-10-02 03:40:49
合計ジャッジ時間 21,687 ms
ジャッジサーバーID
(参考情報)
judge12 / judge11
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ファイルパターン 結果
other AC * 100
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ソースコード

diff #
プレゼンテーションモードにする

from random import gauss, random, randrange
try:
LOCAL
except NameError:
LOCAL = 0
if LOCAL:
import optuna
DEBUG = 1
print("LOOP ?")
LOOP = int(input())
else:
DEBUG = 0
LOOP = 1
def receive():
global P
global R
global money
global MI, MA
global sell_count
if DEBUG:
sell_count = [min(R[i], int(R[i] ** 0.5 * 1.05 ** P[i] * D[i] * (0.75 + random() * 0.5))) for i in range(N)]
money += 1000 * sum(sell_count)
else:
money = int(input())
sell_count = [int(a) for a in input().split()]
for i in range(N):
if R[i]:
ma = (sell_count[i] + 1) / (R[i] ** 0.5 * 0.75 * 1.05 ** P[i])
mi = sell_count[i] / (R[i] ** 0.5 * 1.25 * 1.05 ** P[i])
MI[i] = max(mi, MI[i])
if sell_count[i] < R[i]:
MA[i] = min(ma, MA[i])
for i in range(N):
if R[i]:
if sell_count[i] * 10 >= 3 * R[i]:
P[i] = min(P[i] + 1, 60)
elif sell_count[i] * 10 < R[i]:
P[i] = max(P[i] - 1, -60)
if DEBUG:
for i in range(N):
R[i] -= sell_count[i]
else:
for i, a in enumerate(input().split()):
P[i] = int(a)
for i, a in enumerate(input().split()):
R[i] = int(a)
for i in range(N):
total_sell_count[i] += sell_count[i]
def adj(n):
if n < 4:
return 3
if n % 10 < 3:
return n // 10 * 10
if n % 10 < 6:
return n // 10 * 10 + 3
return n // 10 * 10 + 6
def Order(f1, f2, f3, f4, f5, f6, f7, g1):
global P
global R
global money
global best_allocation_flg
target = 10
buy_count = [0] * N
best_allocation = [((MA[i] + MI[i]) / 2 * 1.05 ** P[i]) ** 2 for i in range(N)]
su = sum(best_allocation)
for i in range(N):
best_allocation[i] *= 10 ** 8
best_allocation[i] = adj(int(best_allocation[i]))
best_allocation_flg = [0] * N
for i in range(N):
if t == 0:
target = 3
elif t < 5:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.0 + MI[i] * 1.0)) ** 2 * f1))
elif t < 12:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f2))
elif t < 20:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f3))
elif t < 30 and P[i] < g1:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f4))
elif t < 40 and P[i] < g1:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f5))
elif t < 45 and P[i] < g1:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f6))
elif t < 49 and P[i] < g1:
target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f7))
elif t < 100:
target = best_allocation[i]
best_allocation_flg[i] = 1
else:
assert 0
buy_count[i] = max(0, target - R[i])
if 1:
su_best = sum([a for a, f in zip(best_allocation, best_allocation_flg) if f])
su_R = sum([r for r, f in zip(R, best_allocation_flg) if f])
used = sum([max(t - r, 0) for t, r, f in zip(buy_count, R, best_allocation_flg) if not f])
avail = max(0, money // 500 - used + su_R)
for i in range(N):
if best_allocation_flg[i]:
buy_count[i] = adj(int(best_allocation[i] / su_best * avail - R[i]))
# buy_count[i] = adj(int(best_allocation[i] / su_best * avail))
while 1:
r = sum(buy_count) * 500 / money
if r <= 1:
break
for i in range(N):
buy_count[i] = adj(int(buy_count[i] / r))
money -= sum(buy_count) * 500
if money < 0:
while 1:
pass
assert money >= 0
for i in range(N):
R[i] += buy_count[i]
if not DEBUG:
print(1, *buy_count)
def Advertise(x):
global money
money -= 500000 << x - 1
if money < 0:
while 1:
pass
assert money >= 0
for i in range(N):
P[i] = min(P[i] + x, 60)
if not DEBUG:
print(2, x)
def main_loop(adv_l2, adv_r2, adv_m2, adv_l3, adv_r3, adv_m3, f1, f2, f3, f4, f5, f6, f7, g1):
global T, N, money
global MI, MA, P, R, t, D, total_sell_count, LOOP
global total_total
ret = 0
main_loop_loop = 1000
for _ in range(main_loop_loop):
ret += main(adv_l2, adv_r2, adv_m2, adv_l3, adv_r3, adv_m3, f1, f2, f3, f4, f5, f6, f7, g1)
return ret / main_loop_loop
def main(adv_l2, adv_r2, adv_m2, adv_l3, adv_r3, adv_m3, f1, f2, f3, f4, f5, f6, f7, g1):
global T, N, money
global MI, MA, P, R, t, D, total_sell_count, LOOP
global total_total
if DEBUG:
T, N, money = 52, 10, 2 * 10 ** 6
D = [random() + 0.5 for _ in range(N)]
# D = [random() / 2 + 1.0 for _ in range(N)]
else:
T, N, money = map(int, input().split())
D = [random() + 0.5 for _ in range(N)]
total_sell_count = [0] * N
sell_count = [0] * N
best_allocation_flg = [0] * N
MA = [1.5] * N
MI = [0.5] * N
P = [0] * N
R = [0] * N
for t in range(T):
if (adv_l3 < t < adv_r3 and money >= adv_m3) and sorted(P)[-1] < 58:
Advertise(3)
elif (adv_l2 < t < adv_r2 and money >= adv_m2) and sorted(P)[-1] < 59:
Advertise(2)
elif (0 < t < 0 and money >= 1200000) and sorted(P)[-1] < 59:
Advertise(2)
elif t < 4 and money >= 6000000:
Advertise(4)
elif t < 4 and money >= 3000000:
Advertise(3)
else:
Order(f1, f2, f3, f4, f5, f6, f7, g1)
if DEBUG:
if LOOP == 1:
print("-" * 20)
print("t =", t)
print("Money =", money)
receive()
if DEBUG:
if LOOP == 1:
print("Money =", money)
print("P =", P)
print("R =", R)
print("sell_count =", sell_count)
print("MI =", ["{:.2f}".format(a) for a in MI])
print("MA =", ["{:.2f}".format(a) for a in MA])
print("D =", ["{:.2f}".format(a) for a in D])
print("Flg =", best_allocation_flg)
print("Total =", sum(total_sell_count), total_sell_count)
if LOCAL:
total_total += sum(total_sell_count)
if LOCAL and 4 >= LOOP > 1:
print("loop =", loop, total_sell_count, sum(total_sell_count), round(total_total / (loop + 1)))
return sum(total_sell_count)
def objective(trial):
adv_l2 = trial.suggest_int('adv_l2', 1, 10)
adv_r2 = trial.suggest_int('adv_r2', 25, 45)
adv_m2 = trial.suggest_float('adv_m2', 105 * 10 ** 4, 150 * 10 ** 4)
adv_l3 = trial.suggest_int('adv_l3', 10, 20)
adv_r3 = trial.suggest_int('adv_r3', 30, 50)
adv_m3 = trial.suggest_float('adv_m3', 220 * 10 ** 4, 300 * 10 ** 4)
f1 = trial.suggest_float('f1', 0.55, 0.90)
f2 = trial.suggest_float('f2', 0.35, 0.70)
f3 = trial.suggest_float('f3', 0.20, 0.60)
f4 = trial.suggest_float('f4', 0.10, 0.60)
f5 = trial.suggest_float('f5', 0.10, 0.50)
f6 = trial.suggest_float('f6', 0.05, 0.50)
f7 = trial.suggest_float('f7', 0.05, 0.50)
g1 = trial.suggest_int('g1', 40, 60)
score = main_loop(adv_l2, adv_r2, adv_m2, adv_l3, adv_r3, adv_m3, f1, f2, f3, f4, f5, f6, f7, g1)
return -score
OP = 0
if OP:
T, N, money = None, None, None
MI, MA, D = None, None, None
P, R, t, total_sell_count = None, None, None, None
study = optuna.create_study()
study.optimize(objective, n_trials=200)
print("Best Params =", study.best_params)
print("Best Score =", study.best_value)
else:
total_total = 0
_t = 0
for loop in range(LOOP):
_t += main(1, 34, 1070000, 18, 39, 2510000, 0.753, 0.578, 0.400, 0.529, 0.490, 0.393,
0.216, 50)
if LOCAL:
print("LOOP =", LOOP, round(total_total / LOOP), round(_t / LOOP))
_ = '''
Best Params = {
'adv_l2': 1, 'adv_r2': 34, 'adv_m2': 1071996.048402824,
'adv_l3': 18, 'adv_r3': 39, 'adv_m3': 2506057.429736735,
'f1': 0.7530461775247944, 'f2': 0.5784067161547253, 'f3': 0.3998962794048304,
'f4': 0.5294730042963244, 'f5': 0.4904776465015429, 'f6': 0.3933636958636354,
'f7': 0.2161664699683005, 'g1': 50}
Best Score = -174102.633
Best Params = {'adv_l3': 12.316204575888603, 'adv_r3': 47.71022165578954,
'adv_m': 2942277.919106235, 'f1': 0.7837350220521555, 'f2': 0.5465937999426904,
'f3': 0.46522777277350125, 'f4': 0.4715163081906667, 'f5': 0.5818274160156429,
'f6': 0.1329005755644884, 'f7': 0.453691378873825, 'g1': 44}
Best Score = -176159.62
'''
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