結果
問題 | No.5008 [Cherry Alpha] Discrete Pendulum with Air Resistance |
ユーザー | tomerun |
提出日時 | 2022-10-15 00:14:25 |
言語 | Crystal (1.11.2) |
結果 |
AC
|
実行時間 | 1,906 ms / 2,000 ms |
コード長 | 5,023 bytes |
コンパイル時間 | 16,287 ms |
実行使用メモリ | 6,952 KB |
スコア | 1,456,655,475,114,828 |
最終ジャッジ日時 | 2022-10-15 00:16:27 |
合計ジャッジ時間 | 121,512 ms |
ジャッジサーバーID (参考情報) |
judge10 / judge8 |
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 | 1,905 ms
5,604 KB |
testcase_01 | AC | 1,905 ms
5,540 KB |
testcase_02 | AC | 1,905 ms
6,948 KB |
testcase_03 | AC | 1,906 ms
5,748 KB |
testcase_04 | AC | 1,903 ms
5,572 KB |
testcase_05 | AC | 1,904 ms
6,952 KB |
testcase_06 | AC | 1,903 ms
6,948 KB |
testcase_07 | AC | 1,903 ms
5,424 KB |
testcase_08 | AC | 1,905 ms
5,816 KB |
testcase_09 | AC | 1,903 ms
5,588 KB |
testcase_10 | AC | 1,904 ms
6,952 KB |
testcase_11 | AC | 1,904 ms
5,496 KB |
testcase_12 | AC | 1,904 ms
5,296 KB |
testcase_13 | AC | 1,904 ms
5,508 KB |
testcase_14 | AC | 1,905 ms
6,948 KB |
testcase_15 | AC | 1,903 ms
6,952 KB |
testcase_16 | AC | 1,905 ms
5,504 KB |
testcase_17 | AC | 1,905 ms
6,948 KB |
testcase_18 | AC | 1,904 ms
5,652 KB |
testcase_19 | AC | 1,904 ms
5,456 KB |
testcase_20 | AC | 1,904 ms
5,528 KB |
testcase_21 | AC | 1,904 ms
5,500 KB |
testcase_22 | AC | 1,904 ms
5,764 KB |
testcase_23 | AC | 1,905 ms
5,744 KB |
testcase_24 | AC | 1,905 ms
6,948 KB |
testcase_25 | AC | 1,904 ms
5,692 KB |
testcase_26 | AC | 1,903 ms
5,764 KB |
testcase_27 | AC | 1,905 ms
6,948 KB |
testcase_28 | AC | 1,906 ms
5,576 KB |
testcase_29 | AC | 1,904 ms
5,644 KB |
testcase_30 | AC | 1,904 ms
5,396 KB |
testcase_31 | AC | 1,905 ms
5,452 KB |
testcase_32 | AC | 1,904 ms
5,712 KB |
testcase_33 | AC | 1,904 ms
5,568 KB |
testcase_34 | AC | 1,905 ms
6,952 KB |
testcase_35 | AC | 1,904 ms
6,948 KB |
testcase_36 | AC | 1,905 ms
5,772 KB |
testcase_37 | AC | 1,904 ms
6,948 KB |
testcase_38 | AC | 1,904 ms
5,776 KB |
testcase_39 | AC | 1,905 ms
6,952 KB |
testcase_40 | AC | 1,904 ms
6,948 KB |
testcase_41 | AC | 1,903 ms
6,952 KB |
testcase_42 | AC | 1,905 ms
5,644 KB |
testcase_43 | AC | 1,904 ms
5,580 KB |
testcase_44 | AC | 1,904 ms
6,952 KB |
testcase_45 | AC | 1,904 ms
5,508 KB |
testcase_46 | AC | 1,903 ms
5,680 KB |
testcase_47 | AC | 1,903 ms
6,952 KB |
testcase_48 | AC | 1,904 ms
6,948 KB |
testcase_49 | AC | 1,903 ms
5,756 KB |
ソースコード
START_TIME = Time.utc.to_unix_ms TL = 1900 N = 50 K = 50 RND = Random.new(3) macro debug(msg) {% if flag?(:local) %} STDERR.puts({{msg}}) {% end %} end class Result getter :score, :b, :m, :e def initialize(@score : Float64, @b : Array(Int32), @m : Array(Int32), @e : Array(Int32)) end end class Solver @ts : Array(Int32) @us : Array(Int32) def initialize read_line @ts = read_line.split.map(&.to_i) @us = read_line.split.map(&.to_i) @b = Array(Int32).new(N) { RND.rand(1) + 1 } @m = Array(Int32).new(N) { |i| {RND.rand(2) + 1, @b[i]}.min } @e = Array(Int32).new(N) { RND.rand(2) + 1 } @pos_200 = Array(Int32).new(N, 0) @dir_200 = Array(Int32).new(N, 1) N.times do |i| @pos_200[i], @dir_200[i] = sim_200(@b[i], @m[i], @e[i]) end @pos_ts = Array(Array(Int32)).new(N) { Array.new(K, 0) } @pos_us = Array(Array(Int32)).new(N) { Array.new(K, 0) } N.times do |i| sim_k(i, @m[i]) end end def sim_200(b, m, e) p = 0 d = 1 a = b 200.times do p += d if p == a * d d *= -1 a = {m, a - e}.max end end return p, d end def sim_k(i, m) K.times do |j| t = (@ts[j] - 200) % (m * 4) p = @pos_200[i] d = @dir_200[i] t.times do p += d if p == m * d d *= -1 end end @pos_ts[i][j] = p t = (@us[j] - 200) % (m * 4) p = @pos_200[i] d = @dir_200[i] t.times do p += d if p == m * d d *= -1 end end @pos_us[i][j] = p end end def solve cur_score, ts_ss = calc_score() best_res = Result.new(cur_score, @b.dup, @m.dup, @e.dup) buf_pos_ts = Array.new(K, 0) buf_pos_us = Array.new(K, 0) initial_cooler = 5e-4 final_cooler = 8e-3 cooler = initial_cooler turn = 0 begin_time = Time.utc.to_unix_ms total_time = TL - (begin_time - START_TIME) while true turn += 1 if (turn & 0x3F) == 0 elapsed = Time.utc.to_unix_ms - begin_time if elapsed > total_time debug("total_turn:#{turn} score:#{best_res.score} norm_score:#{best_res.score * 20_000_000 / (N * (N - 1)) * 10_000_000 / 50}") break end ratio = elapsed / total_time cooler = Math.exp(Math.log(initial_cooler) * (1.0 - ratio) + Math.log(final_cooler) * ratio) end ch_i = RND.rand(N) nb = RND.rand(12) + 1 if nb == @b[ch_i] nb += 1 end nm = nb == 1 ? 1 : RND.rand(2) + nb - 1 ne = 1 # RND.rand(2) + 1 old = {@pos_200[ch_i], @dir_200[ch_i]} @pos_200[ch_i], @dir_200[ch_i] = sim_200(nb, nm, ne) K.times do |i| buf_pos_ts[i] = @pos_ts[ch_i][i] buf_pos_us[i] = @pos_us[ch_i][i] end sim_k(ch_i, nm) score, new_ts_ss = calc_score_diff(ch_i, buf_pos_ts, @b[ch_i], nb, ts_ss) if accept(score - cur_score, cooler) debug("score:#{score} at turn #{turn}") cur_score = score ts_ss = new_ts_ss @b[ch_i] = nb @m[ch_i] = nm @e[ch_i] = ne if best_res.score < score best_res = Result.new(score, @b.dup, @m.dup, @e.dup) end else @pos_200[ch_i] = old[0] @dir_200[ch_i] = old[1] K.times do |i| @pos_ts[ch_i][i] = buf_pos_ts[i] @pos_us[ch_i][i] = buf_pos_us[i] end end end return best_res end def accept(diff, cooler) return true if diff >= 0 v = cooler * diff return false if v < -8 return RND.rand < Math.exp(v) end def calc_score sum0 = 0.0 sum1 = 0.0 ts_ss = Array.new(K, 0.0) K.times do |i| sum = 0.0 N.times do |j| j.times do |k| sum += (@pos_ts[j][i] - @pos_ts[k][i]).abs / (@b[j] + @b[k]) end end ts_ss[i] = sum sum0 += sum min = 1 << 20 max = -(1 << 20) N.times do |j| min = {min, @pos_us[j][i]}.min max = {max, @pos_us[j][i]}.max end sum1 += 1.0 / (((max - min) * 0.05) ** 0.5 + 1) end # debug([sum0, sum1, sum0 * sum1]) return sum0 * sum1, ts_ss end def calc_score_diff(ch_i, old_pos, old_b, new_b, ts_ss) sum0 = 0.0 sum1 = 0.0 new_ts_ss = Array.new(K, 0.0) K.times do |i| sum = ts_ss[i] min = 1 << 20 max = -(1 << 20) N.times do |j| min = {min, @pos_us[j][i]}.min max = {max, @pos_us[j][i]}.max next if j == ch_i sum += (@pos_ts[j][i] - @pos_ts[ch_i][i]).abs / (@b[j] + new_b) sum -= (@pos_ts[j][i] - old_pos[i]).abs / (@b[j] + old_b) end new_ts_ss[i] = sum sum0 += sum sum1 += 1.0 / (((max - min) * 0.05) ** 0.5 + 1) end # debug([sum0, sum1, sum0 * sum1]) return sum0 * sum1, new_ts_ss end end solver = Solver.new res = solver.solve N.times do |i| puts "#{res.b[i]} #{{res.b[i], res.m[i]}.min} #{res.e[i]}" end