結果
問題 | No.5019 Hakai Project |
ユーザー | Kiri8128 |
提出日時 | 2023-11-19 15:47:34 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 2,355 ms / 3,000 ms |
コード長 | 21,546 bytes |
コンパイル時間 | 475 ms |
コンパイル使用メモリ | 81,700 KB |
実行使用メモリ | 271,676 KB |
スコア | 2,858,939,011 |
最終ジャッジ日時 | 2023-11-19 15:50:02 |
合計ジャッジ時間 | 110,599 ms |
ジャッジサーバーID (参考情報) |
judge13 / judge15 |
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 | 2,063 ms
268,648 KB |
testcase_01 | AC | 2,100 ms
262,660 KB |
testcase_02 | AC | 2,264 ms
271,676 KB |
testcase_03 | AC | 1,911 ms
242,348 KB |
testcase_04 | AC | 1,930 ms
257,172 KB |
testcase_05 | AC | 2,178 ms
271,364 KB |
testcase_06 | AC | 2,049 ms
263,340 KB |
testcase_07 | AC | 2,107 ms
267,732 KB |
testcase_08 | AC | 2,048 ms
261,464 KB |
testcase_09 | AC | 2,355 ms
271,184 KB |
testcase_10 | AC | 1,837 ms
247,476 KB |
testcase_11 | AC | 2,163 ms
268,372 KB |
testcase_12 | AC | 2,044 ms
257,220 KB |
testcase_13 | AC | 2,190 ms
270,692 KB |
testcase_14 | AC | 1,965 ms
260,804 KB |
testcase_15 | AC | 2,020 ms
261,032 KB |
testcase_16 | AC | 1,937 ms
235,800 KB |
testcase_17 | AC | 1,900 ms
256,924 KB |
testcase_18 | AC | 2,050 ms
271,644 KB |
testcase_19 | AC | 2,249 ms
269,584 KB |
testcase_20 | AC | 1,908 ms
222,780 KB |
testcase_21 | AC | 2,053 ms
244,220 KB |
testcase_22 | AC | 2,006 ms
265,804 KB |
testcase_23 | AC | 2,220 ms
269,888 KB |
testcase_24 | AC | 2,308 ms
269,192 KB |
testcase_25 | AC | 2,134 ms
266,352 KB |
testcase_26 | AC | 2,128 ms
266,652 KB |
testcase_27 | AC | 2,088 ms
268,616 KB |
testcase_28 | AC | 2,015 ms
259,480 KB |
testcase_29 | AC | 2,100 ms
271,488 KB |
testcase_30 | AC | 2,008 ms
235,252 KB |
testcase_31 | AC | 2,211 ms
253,168 KB |
testcase_32 | AC | 2,071 ms
260,796 KB |
testcase_33 | AC | 2,017 ms
262,252 KB |
testcase_34 | AC | 2,055 ms
235,000 KB |
testcase_35 | AC | 2,003 ms
247,160 KB |
testcase_36 | AC | 1,855 ms
224,716 KB |
testcase_37 | AC | 2,165 ms
270,640 KB |
testcase_38 | AC | 1,748 ms
196,344 KB |
testcase_39 | AC | 2,170 ms
269,832 KB |
testcase_40 | AC | 2,120 ms
246,376 KB |
testcase_41 | AC | 2,144 ms
271,256 KB |
testcase_42 | AC | 1,989 ms
260,932 KB |
testcase_43 | AC | 2,018 ms
263,356 KB |
testcase_44 | AC | 1,973 ms
228,528 KB |
testcase_45 | AC | 1,916 ms
242,184 KB |
testcase_46 | AC | 1,989 ms
253,788 KB |
testcase_47 | AC | 1,935 ms
221,268 KB |
testcase_48 | AC | 2,217 ms
254,076 KB |
testcase_49 | AC | 1,958 ms
226,368 KB |
ソースコード
from time import time from heapq import heapify, heappush as hpush, heappop as hpop def dijkstra(i0, j0, target_i = None, target_j = None): ij0 = i0 * N + j0 if target_i is None: if DEBUG: print("Dijkstra", i0, j0) else: target_ij = target_i * N + target_j if DEBUG: print("Dijkstra", i0, j0, target_i, target_j) n = N * N kk = 18 mm = (1 << kk) - 1 h = [ij0] D = [-1] * n done = [0] * n D[ij0] = 0 while h: x = hpop(h) d, ij = x >> kk, x & mm if done[ij]: continue done[ij] = 1 i, j = ij // N, ij % N # for nij, w in E[ij]: for ni, nj in ((i, j + 1), (i, j - 1), (i + 1, j), (i - 1, j)): if 0 <= ni < N and 0 <= nj < N: nij = ni * N + nj w = 1 if A[ni][nj] in (".", "X") else 2 nd = d + w if D[nij] < 0 or D[nij] > nd: if done[nij] == 0: hpush(h, (nd << kk) + nij) D[nij] = nd if 0 and DEBUG: print("Dijkstra") print("D =", D) if target_i is None: return D ij = target_ij L = [] while 1: i, j = ij // N, ij % N L.append((i, j)) if not D[ij]: break for pi, pj in ((i, j + 1), (i, j - 1), (i + 1, j), (i - 1, j)): if 0 <= pi < N and 0 <= pj < N: pij = pi * N + pj w = 1 if A[i][j] in (".", "X") else 2 if D[pij] == D[ij] - w: ij = pij break return L[::-1] def move(target_i, target_j): global cost global ANS global current_i, current_j if DEBUG: print("DIJK ->", dijkstra(current_i, current_j, target_i, target_j)) b = sum(B) path = dijkstra(current_i, current_j, target_i, target_j) for (i, j), (ni, nj) in zip(path, path[1:]): if ni > i: ANS.append((1, "D")) elif ni < i: ANS.append((1, "U")) elif nj > j: ANS.append((1, "R")) elif nj < j: ANS.append((1, "L")) else: assert 0 cost += (1 if A[ni][nj] in (".", "X") else 2) * (b + 1) ** 2 current_i = target_i current_j = target_j if 0: while (current_i, current_j) != (target_i, target_j): if current_i < target_i: ANS.append((1, "D")) current_i += 1 elif current_i > target_i: ANS.append((1, "U")) current_i -= 1 elif current_j < target_j: ANS.append((1, "R")) current_j += 1 elif current_j > target_j: ANS.append((1, "L")) current_j -= 1 cost += (1 if A[current_i][current_j] in (".", "X") else 2) * (b + 1) ** 2 if DEBUG: print("Move to", (target_i, target_j), "cost =", cost) def buy(k): global cost assert A[current_i][current_j] == "@" cost += price[k] B[k] += 1 ANS.append((2, k + 1)) if DEBUG: print("buy", k, "@", (current_i, current_j), "cost =", cost) def bomb_check(k, ii, jj): s = 0 t = 0 for i, j in Z[k][1]: ni = ii + i nj = jj + j if 0 <= ni < N and 0 <= nj < N and A[ni][nj] != ".": if A[ni][nj] == "@": s += 1 else: t += 1 def bomb(k): assert B[k] > 0 global shop_list B[k] -= 1 ANS.append((3, k + 1)) for i, j in Z[k][1]: ni = current_i + i nj = current_j + j if 0 <= ni < N and 0 <= nj < N and A[ni][nj] != ".": if A[ni][nj] == "@": pass # shop_list.destroyed A[ni][nj] = "X" if DEBUG: print("bomb", k, "@", (current_i, current_j), "cost =", cost) def answer(): if not LOCAL: print(len(ANS)) for a, b in ANS: print(a, b) if DEBUG: print("cost =", cost) writetext_output(ANS) def disp(): if DEBUG: print("") print("-" * 20) print("price =", price) print("inv =", price_inv) print("power =", power) building_cnt = sum(a.count("#") for a in A) shop_cnt = sum(a.count("@") for a in A) score = 1 if building_cnt else comma(10 ** 12 // (10 ** 4 + cost)) print("building cnt =", building_cnt) print("shop cnt =", shop_cnt) print("shop_list =", len(shop_list), shop_list) print("cost =", cost) print("score =", score) print("A =") for a in A: print("".join(a)) print("-" * 20) print("cost =", cost) print("score =", score) print("") def moving_cost_factor(): return 6 def best_shop(i, j): best_i = -1 best_j = -1 best = 1000 for ti, tj in shop_list: d = abs(ti - i) + abs(tj - j) if 0: d += (max(10 - ti, 0) + max(ti - 39, 0) + max(10 - tj, 0) + max(tj - 39, 0)) * moving_cost_factor() if 21 <= ti < 29: d += 15 if 21 <= tj < 29: d += 15 if d < best: best = d best_i = ti best_j = tj return best_i, best_j def calc_favorite_shops(): L = [] # for ti, tj in ((9, 9), (9, 40), (40, 40), (40, 9)): # for ti, tj in ((9, 9), (9, 24), (9, 40), (24, 40), (40, 40), (40, 24), (40, 9)): for ti, tj in ((9, 9), (9, 24), (9, 40), (24, 40), (40, 40), (40, 24), (40, 9), (24, 9)): # for ti, tj in ((7, 7), (7, 24), (7, 42), (24, 42), (42, 42), (42, 24), (42, 7), (24, 7)): # for ti, tj in ((10, 10), (10, 24), (10, 41), (24, 41), (41, 41), (41, 24), (41, 10), (24, 10)): # for ti, tj in ((9, 9), (9, 24), (9, 40), (24, 40), (40, 40), (40, 24), (40, 9), (24, 9), (24, 24)): # for ti, tj in ((9, 9), (7, 24), (9, 40), (24, 42), (40, 40), (42, 24), (40, 9), (24, 7)): # for ti, tj in ((9, 9), (9, 20), (9, 30), (9, 40), (20, 40), (30, 40), (40, 40), (40, 30), (40, 20), (40, 9), (30, 9), (20, 9)): best = 10 ** 10 best_k = -1 for k, (i, j) in enumerate(shop_list): d = (ti - i) ** 2 + (tj - j) ** 2 if d < best: best = d best_k = k if best_k not in L: L.append(best_k) return L def calc_weight(shops): W = [[1.0] * N for _ in range(N)] for i in range(N): for j in range(N): for k in shops: si, sj = shop_list[k] d = max(abs(i - si), abs(j - sj)) if d <= 20: for ss in (0.2, 0.6, 1.0): w = 1 / (1 + d * ss) W[i][j] *= (1 - w) for i in range(N): for j in range(N): W[i][j] = int(10 ** 4 * W[i][j]) + 1 return W def find_best_cand_stay(): best = 0 best_cand = None for b, i, j, v in candidates_stay: k = favorite_shops[v] ev = 0 si, sj = shop_list[k] for bi, bj in position[b]: ni = si + bi nj = sj + bj if 0 <= ni < N and 0 <= nj < N: if cover_count_stay[ni][nj] == 0: ev += weight[ni][nj] ev *= price_inv[b] if ev > best: best = ev best_cand = (b, i, j, v, ev) if DEBUG: if best_cand is not None: print("Best Cand Stay =", best_cand, int(best / 10 ** 6 + 0.5)) return best_cand def calc_candidates_stay(): # 基地からの攻撃候補 candidates_stay = [] for v, k in enumerate(favorite_shops): si, sj = shop_list[k] for b in range(M): for bi, bj in position[b]: ni = si + bi nj = sj + bj if (bi or bj) and 0 <= ni < N and 0 <= nj < N and favorite_shops_flg[ni][nj] > v: break else: candidates_stay.append((b, si, sj, v)) return candidates_stay def calc_candidates_away(): candidates_away = [] candidates_efficiency = [] candidates_matrix = [[[] for _ in range(N)] for _ in range(N)] for i in range(N): for j in range(N): for b in range(M): mav = -1 for v, k in enumerate(favorite_shops): si, sj = shop_list[k] di, dj = si - i, sj - j if -20 <= di <= 20 and -20 <= dj <= 20 and position_matrix[b][di][dj]: if di or dj: # ぴったり動いていない場合は Stay に入れれば良いので OK mav = max(mav, v) best = 10 ** 9 best_v = None for v in range(mav + 1, len(favorite_shops)): k = favorite_shops[v] si, sj = shop_list[k] d = abs(i - si) + abs(j - sj) if d <= best: best = d best_v = v if best_v is None: continue v = best_v k = favorite_shops[v] si, sj = shop_list[k] if v < len(favorite_shops): u = len(candidates_away) candidates_away.append((b, i, j, v)) benefit = 0 for bi, bj in position[b]: ni, nj = i + bi, j + bj if 0 <= ni < N and 0 <= nj < N: if cover_count_away[ni][nj] == 0: candidates_matrix[ni][nj].append(u) benefit += weight[ni][nj] moving_cost = (abs(i - si) + abs(j - sj)) * moving_cost_factor() efficiency = 10 ** 6 // (price[b] + moving_cost) * benefit candidates_efficiency.append(efficiency) return candidates_away, candidates_efficiency, candidates_matrix def find_best_cand_away(): best = 0 best_cand = None for u, (efficiency, cand) in enumerate(zip(candidates_efficiency, candidates_away)): if efficiency > best: best = efficiency best_cand = cand best_u = u if best_cand is None: return None b, i, j, v = best_cand if DEBUG: print("Best Cand Away =", (b, i, j, v), "Efficiency =", "{:.3f}".format(best / 10 ** 6)) return b, i, j, v, best_u def update_candidates_away(b, i, j, v): for bi, bj in position[b]: ni, nj = i + bi, j + bj if 0 <= ni < N and 0 <= nj < N and cover_count_away[ni][nj] >= 0: cover_count_away[ni][nj] += 1 if cover_count_away[ni][nj] == 1: for u in candidates_matrix[ni][nj]: _b, _i, _j, _v = candidates_away[u] k = favorite_shops[_v] si, sj = shop_list[k] moving_cost = (abs(_i - si) + abs(_j - sj)) * moving_cost_factor() candidates_efficiency[u] -= 10 ** 6 // (price[_b] + moving_cost) * weight[ni][nj] def find_worst_cand_away(): worst = 10 ** 18 worst_cand = None for v, k in enumerate(favorite_shops): si, sj = shop_list[k] for b, i, j, u in strategy_away[v]: benefit = 0 for bi, bj in position[b]: ni, nj = i + bi, j + bj if 0 <= ni < N and 0 <= nj < N: if cover_count_away[ni][nj] == 1: benefit += weight[ni][nj] moving_cost = (abs(i - si) + abs(j - sj)) * moving_cost_factor() efficiency = 10 ** 6 // (price[b] + moving_cost) * benefit if efficiency < worst: worst = efficiency worst_cand = (v, (b, i, j, u)) return worst_cand def remove_cand_away(v, b, i, j, u): if DEBUG: print("remove and away", (b, i, j, u)) strategy_away[v].remove((b, i, j, u)) for bi, bj in position[b]: ni, nj = i + bi, j + bj if 0 <= ni < N and 0 <= nj < N: cover_count_away[ni][nj] -= 1 if cover_count_away[ni][nj] == 0: for _u in candidates_matrix[ni][nj]: _b, _i, _j, _v = candidates_away[_u] k = favorite_shops[_v] si, sj = shop_list[k] moving_cost = (abs(_i - si) + abs(_j - sj)) * moving_cost_factor() candidates_efficiency[_u] += 10 ** 6 // (price[_b] + moving_cost) * weight[ni][nj] # 削除したやつの Efficiency を再計算 k = favorite_shops[v] si, sj = shop_list[k] benefit = 0 for bi, bj in position[b]: ni, nj = i + bi, j + bj if 0 <= ni < N and 0 <= nj < N: if cover_count_away[ni][nj] == 0: candidates_matrix[ni][nj].append(u) benefit += weight[ni][nj] moving_cost = (abs(i - si) + abs(j - sj)) * moving_cost_factor() efficiency = 10 ** 6 // (price[b] + moving_cost) * benefit candidates_efficiency[u] = efficiency try: LOCAL except NameError: LOCAL = 0 loop = 1 if LOCAL: DEBUG = 1 # N, M, A, Z = random_testcase() print("Seed ?") I = input() if int(I) < 0: loop = -int(I) DEBUG = 0 else: N, M, A, Z = preset_testcase(int(I)) else: DEBUG = 0 N, M = map(int, input().split()) A = [] for _ in range(N): A.append([a for a in input()]) Z = [] for _ in range(M): C, L = map(int, input().split()) pos = [] for _ in range(L): a, b = map(int, input().split()) pos.append((a, b)) Z.append((C, pos)) score_sum = 0 for lp in range(loop): sTime = time() target_time = 2.5 * (3 if LOCAL else 1) if loop > 1: N, M, A, Z = preset_testcase(lp) cover_count_stay = [[-1 if aa == "." else 0 for aa in a] for a in A] if DEBUG: writetext_input(N, M, A, Z) price = [] price_inv = [] power = [] position = [] position_matrix = [] B = [0] * M cost = 0 current_i = 0 current_j = 0 ANS = [] if DEBUG: print("N =", N) print("M =", M) shop_list = [] for i, a in enumerate(A): for j, aa in enumerate(a): if aa == "@": shop_list.append((i, j)) shop_list_destroyed = [0] * len(shop_list) disp() for C, pos in Z: if 0 and DEBUG: print("C, cnt =", C, len(pos), "{:.4f}".format(len(pos) / C)) print("pos =", pos) price.append(C) price_inv.append(10 ** 6 // C) power.append(len(pos)) position.append(pos) if 0: print("") print("C =", C) print("cnt =", len(pos)) z = [[0] * 41 for _ in range(41)] for i, j in pos: z[i][j] = 1 position_matrix.append(z) if 0: print("pos =") for zz in z: print("".join(zz)) original_building_cnt = sum(a.count("#") for a in A) original_shop_cnt = sum(a.count("@") for a in A) # 基地とする店(お気に入りショップ)を選ぶ favorite_shops = calc_favorite_shops() if DEBUG: if 0: print("position =") for b, _pos in enumerate(position): print(b, _pos) print("favorite_shops =", favorite_shops) weight = calc_weight(favorite_shops) if DEBUG and 0: print("weight =") for w in weight: print(w) favorite_shops_flg = [[-1] * N for _ in range(N)] for v, k in enumerate(favorite_shops): si, sj = shop_list[k] favorite_shops_flg[si][sj] = v # Stay(基地にいながら)攻撃の候補・戦略 # まずは上位から適当に使って破壊(ある程度破壊しておくと後半の計算時間を節約できる) candidates_stay = calc_candidates_stay() strategy_stay = [[] for _ in range(len(favorite_shops))] while 1: b, i, j, v, ev = find_best_cand_stay() if ev < 500 * 10 ** 6: break k = favorite_shops[v] strategy_stay[v].append((b, i, j, None)) si, sj = shop_list[k] for bi, bj in position[b]: ni = si + bi nj = sj + bj if 0 <= ni < N and 0 <= nj < N: if cover_count_stay[ni][nj] >= 0: cover_count_stay[ni][nj] += 1 if DEBUG and 0: print("candidates_stay =", candidates_stay) if DEBUG: print("strategy_stay =") for v in range(len(strategy_stay)): print(v, strategy_stay[v]) # Away(基地から離れて)攻撃の候補・戦略 # 実装の都合で、基地にいるものも含めている cover_count_away = [[0 if aa == 0 else -1 for aa in a] for a in cover_count_stay] candidates_away, candidates_efficiency, candidates_matrix = calc_candidates_away() strategy_away = [[] for _ in range(len(favorite_shops))] while 1: cand = find_best_cand_away() if cand is None: if 0 and time() - sTime < target_time: for _ in range(5): v, (b, i, j, u) = find_worst_cand_away() remove_cand_away(v, b, i, j, u) # strategy_away[v].remove((b, i, j, u)) if DEBUG: print("REMOVE Successful", (b, i, j, u)) continue break b, i, j, v, u = cand update_candidates_away(b, i, j, v) strategy_away[v].append((b, i, j, u)) if DEBUG: print("strategy_away") for v, s in enumerate(strategy_away): print(v, s) def cheapest(strategy): D0 = dijkstra(current_i, current_j) best = 10 ** 18 for b, i, j, u in strategy: D = dijkstra(i, j) for k, (si, sj) in enumerate(shop_list): if A[si][sj] == "@": sij = si * N + sj cost = D0[sij] + D[sij] * 4 if cost < best: best = cost best_strategy = (b, i, j, u) best_k = k b, i, j, u = best_strategy k = best_k return (b, i, j, u, k, best) # ソート用 def f(x, si, sj): b, i, j, u = x return (si - i) ** 2 + (sj - j) ** 2 # 戦略に基づいてシミュレーション for v, k in enumerate(favorite_shops): si, sj = shop_list[k] # Away に入れた Stay 分を戻す(一旦逆ソートしている) strategy_away[v].sort(key = lambda x: -f(x, si, sj)) while strategy_away[v]: b, i, j, u = strategy_away[v][-1] if (i, j) == (si, sj): strategy_stay[v].append(strategy_away[v].pop()) else: break after = None # 現在位置から近い方から順に使う while strategy_away[v]: (b, i, j, u, k, co) = cheapest(strategy_away[v]) si, sj = shop_list[k] if len(strategy_away[v]) == 1 and strategy_stay[v]: D1 = dijkstra(si, sj) if v + 1 < len(favorite_shops): nsi, nsj = shop_list[favorite_shops[v+1]] D2 = dijkstra(nsi, nsj) route1 = co + D2[si * N + sj] route2 = D1[current_i * N + current_j] + D2[i * N + j] else: route1 = co route2 = D1[current_i * N + current_j] if route2 < route1: after = (b, i, j, u) strategy_away[v].remove((b, i, j, u)) break move(si, sj) buy(b) move(i, j) bomb(b) strategy_away[v].remove((b, i, j, u)) if 0: # 基地から近い方から順に使う strategy_away[v].sort(key = lambda x: f(x, si, sj)) for b, i, j, u in strategy_away[v]: move(si, sj) buy(b) move(i, j) bomb(b) # Stay if strategy_stay[v]: for b, i, j, u in strategy_stay[v]: move(i, j) buy(b) if after is not None: _b, _i, _j, _u = after buy(_b) for b, i, j, u in strategy_stay[v]: bomb(b) if after is not None: _b, _i, _j, _u = after move(_i, _j) bomb(_b) if loop == 1: answer() disp() else: building_cnt = sum(a.count("#") for a in A) shop_cnt = sum(a.count("@") for a in A) score = 1 if building_cnt else 10 ** 12 // (10 ** 4 + cost) score_sum += score average_score = int(score_sum / (lp + 1) + 0.5) average_cost = int(10 ** 12 / average_score - 10000 + 0.5) print("lp =", lp, "cost =", cost, "score =", comma(score // 1000) + "K", (original_building_cnt, original_shop_cnt), "average =", average_cost, comma(int(average_score) // 1000) + "K") if loop > 1: print("END")