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 03:00:08 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 143 ms / 400 ms |
コード長 | 7,768 bytes |
コンパイル時間 | 511 ms |
コンパイル使用メモリ | 87,152 KB |
実行使用メモリ | 93,160 KB |
スコア | 168,084 |
平均クエリ数 | 52.00 |
最終ジャッジ日時 | 2023-10-02 03:00:30 |
合計ジャッジ時間 | 16,153 ms |
ジャッジサーバーID (参考情報) |
judge13 / judge11 |
純コード判定しない問題か言語 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
---|---|---|
testcase_00 | AC | 141 ms
92,848 KB |
testcase_01 | AC | 103 ms
93,012 KB |
testcase_02 | AC | 102 ms
92,464 KB |
testcase_03 | AC | 104 ms
92,532 KB |
testcase_04 | AC | 105 ms
92,492 KB |
testcase_05 | AC | 104 ms
92,300 KB |
testcase_06 | AC | 129 ms
92,464 KB |
testcase_07 | AC | 103 ms
92,280 KB |
testcase_08 | AC | 103 ms
92,824 KB |
testcase_09 | AC | 105 ms
92,960 KB |
testcase_10 | AC | 103 ms
92,128 KB |
testcase_11 | AC | 104 ms
92,244 KB |
testcase_12 | AC | 108 ms
92,144 KB |
testcase_13 | AC | 106 ms
92,400 KB |
testcase_14 | AC | 103 ms
92,408 KB |
testcase_15 | AC | 126 ms
92,996 KB |
testcase_16 | AC | 104 ms
92,464 KB |
testcase_17 | AC | 104 ms
92,408 KB |
testcase_18 | AC | 107 ms
93,004 KB |
testcase_19 | AC | 110 ms
92,376 KB |
testcase_20 | AC | 104 ms
92,488 KB |
testcase_21 | AC | 103 ms
92,704 KB |
testcase_22 | AC | 106 ms
92,872 KB |
testcase_23 | AC | 108 ms
92,392 KB |
testcase_24 | AC | 103 ms
92,672 KB |
testcase_25 | AC | 104 ms
92,376 KB |
testcase_26 | AC | 111 ms
92,756 KB |
testcase_27 | AC | 104 ms
92,580 KB |
testcase_28 | AC | 105 ms
92,536 KB |
testcase_29 | AC | 103 ms
92,548 KB |
testcase_30 | AC | 103 ms
92,532 KB |
testcase_31 | AC | 105 ms
92,368 KB |
testcase_32 | AC | 143 ms
92,344 KB |
testcase_33 | AC | 110 ms
92,576 KB |
testcase_34 | AC | 104 ms
92,256 KB |
testcase_35 | AC | 104 ms
92,160 KB |
testcase_36 | AC | 104 ms
92,672 KB |
testcase_37 | AC | 104 ms
92,616 KB |
testcase_38 | AC | 104 ms
92,804 KB |
testcase_39 | AC | 105 ms
93,036 KB |
testcase_40 | AC | 104 ms
92,416 KB |
testcase_41 | AC | 111 ms
92,428 KB |
testcase_42 | AC | 104 ms
92,468 KB |
testcase_43 | AC | 103 ms
92,484 KB |
testcase_44 | AC | 105 ms
92,956 KB |
testcase_45 | AC | 104 ms
92,572 KB |
testcase_46 | AC | 103 ms
92,356 KB |
testcase_47 | AC | 105 ms
92,952 KB |
testcase_48 | AC | 107 ms
93,060 KB |
testcase_49 | AC | 126 ms
91,964 KB |
testcase_50 | AC | 105 ms
92,980 KB |
testcase_51 | AC | 104 ms
92,848 KB |
testcase_52 | AC | 104 ms
92,080 KB |
testcase_53 | AC | 104 ms
92,404 KB |
testcase_54 | AC | 105 ms
93,160 KB |
testcase_55 | AC | 103 ms
93,032 KB |
testcase_56 | AC | 106 ms
92,200 KB |
testcase_57 | AC | 105 ms
92,672 KB |
testcase_58 | AC | 125 ms
92,828 KB |
testcase_59 | AC | 104 ms
92,652 KB |
testcase_60 | AC | 104 ms
92,544 KB |
testcase_61 | AC | 105 ms
92,408 KB |
testcase_62 | AC | 104 ms
92,296 KB |
testcase_63 | AC | 105 ms
92,344 KB |
testcase_64 | AC | 104 ms
92,880 KB |
testcase_65 | AC | 105 ms
92,956 KB |
testcase_66 | AC | 104 ms
92,672 KB |
testcase_67 | AC | 105 ms
92,952 KB |
testcase_68 | AC | 112 ms
92,392 KB |
testcase_69 | AC | 104 ms
93,036 KB |
testcase_70 | AC | 105 ms
92,372 KB |
testcase_71 | AC | 104 ms
92,744 KB |
testcase_72 | AC | 104 ms
92,544 KB |
testcase_73 | AC | 105 ms
92,340 KB |
testcase_74 | AC | 106 ms
92,688 KB |
testcase_75 | AC | 131 ms
92,604 KB |
testcase_76 | AC | 105 ms
92,924 KB |
testcase_77 | AC | 104 ms
92,764 KB |
testcase_78 | AC | 105 ms
92,280 KB |
testcase_79 | AC | 105 ms
92,572 KB |
testcase_80 | AC | 104 ms
92,492 KB |
testcase_81 | AC | 104 ms
92,360 KB |
testcase_82 | AC | 113 ms
92,408 KB |
testcase_83 | AC | 105 ms
92,984 KB |
testcase_84 | AC | 105 ms
92,684 KB |
testcase_85 | AC | 105 ms
92,968 KB |
testcase_86 | AC | 118 ms
92,548 KB |
testcase_87 | AC | 101 ms
92,780 KB |
testcase_88 | AC | 105 ms
93,116 KB |
testcase_89 | AC | 122 ms
92,392 KB |
testcase_90 | AC | 107 ms
92,260 KB |
testcase_91 | AC | 106 ms
92,560 KB |
testcase_92 | AC | 104 ms
92,136 KB |
testcase_93 | AC | 102 ms
92,108 KB |
testcase_94 | AC | 104 ms
92,316 KB |
testcase_95 | AC | 103 ms
92,112 KB |
testcase_96 | AC | 109 ms
92,104 KB |
testcase_97 | AC | 105 ms
92,488 KB |
testcase_98 | AC | 104 ms
92,460 KB |
testcase_99 | AC | 104 ms
92,836 KB |
ソースコード
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 = 1.0, f2 = 1.0, f3 = 1.0, f4 = 1.0): 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 < 20: # target = adj(int(100 / 9 * 1.05 ** P[i] * (MA[i] * 0.0 + MI[i] * 1.0) * f1)) target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f2)) elif t < 30 and P[i] < 50: # target = adj(int(100 / 4 * 1.05 ** P[i] * (MA[i] + MI[i]) / 2)) target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f3)) elif t < 40 and P[i] < 50: # target = adj(int(100 / 1 * 1.05 ** P[i] * (MA[i] + MI[i]) / 2)) target = adj(int((10 / 3 * 1.05 ** P[i] * (MA[i] * 0.5 + MI[i] * 0.5)) ** 2 * f4)) 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_l3 = 20, adv_r3 = 40, adv_m = 2500000, f1 = 1.0, f2 = 1.0, f3 = 1.0, f4 = 1.0): global T, N, money global MI, MA, P, R, t, D, total_sell_count, LOOP global total_total ret = 0 for _ in range(1000): ret += main(adv_l3, adv_r3, adv_m, f1, f2, f3, f4) return ret / 1000 def main(adv_l3 = 20, adv_r3 = 40, adv_m = 2500000, f1 = 1.0, f2 = 1.0, f3 = 1.0, f4 = 1.0): 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_m) and sorted(P)[-1] < 58: Advertise(3) elif (0 < t < 20 and money >= 1100000) and sorted(P)[-1] < 59: Advertise(2) elif (0 < t < 35 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) 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_l3 = trial.suggest_float('adv_l3', 10, 30) adv_r3 = trial.suggest_float('adv_r3', 30, 50) adv_m = trial.suggest_float('adv_m', 220 * 10 ** 4, 300 * 10 ** 4) f1 = trial.suggest_float('f1', 0.6, 0.8) f2 = trial.suggest_float('f2', 0.4, 0.6) f3 = trial.suggest_float('f3', 0.2, 0.6) f4 = trial.suggest_float('f4', 0.1, 0.6) score = main_loop(adv_l3, adv_r3, adv_m, f1, f2, f3, f4) 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=50) 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(19, 45, 3000000, 0.670, 0.516, 0.561, 0.473) if LOCAL: print("LOOP =", LOOP, round(total_total / LOOP), round(_t / LOOP)) ''' Best Params = {'adv_l3': 19.37253008268183, 'adv_r3': 45.317372195983815, 'adv_m': 2996720.1222027894, 'f1': 0.6705334828220689, 'f2': 0.5165434545936766, 'f3': 0.5609350182215814, 'f4': 0.47319152557907895} Best Score = -176750.828 '''