結果
| 問題 | 
                            No.9 モンスターのレベル上げ
                             | 
                    
| コンテスト | |
| ユーザー | 
                             La
                         | 
                    
| 提出日時 | 2021-01-06 13:57:39 | 
| 言語 | Ruby  (3.4.1)  | 
                    
| 結果 | 
                             
                                TLE
                                 
                             
                            
                         | 
                    
| 実行時間 | - | 
| コード長 | 2,574 bytes | 
| コンパイル時間 | 206 ms | 
| コンパイル使用メモリ | 7,552 KB | 
| 実行使用メモリ | 13,632 KB | 
| 最終ジャッジ日時 | 2024-11-06 23:35:27 | 
| 合計ジャッジ時間 | 7,039 ms | 
| 
                            ジャッジサーバーID (参考情報)  | 
                        judge2 / judge1 | 
(要ログイン)
| ファイルパターン | 結果 | 
|---|---|
| other | AC * 2 TLE * 1 -- * 17 | 
コンパイルメッセージ
Syntax OK
ソースコード
# Priority Queue
# Reference: https://github.com/python/cpython/blob/master/Lib/heapq.py
class PriorityQueue
  # By default, the priority queue returns the maximum element first.
  # If a block is given, the priority between the elements is determined with it.
  # For example, the following block is given, the priority queue returns the minimum element first.
  # `PriorityQueue.new { |x, y| x < y }`
  #
  # A heap is an array for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for all k, counting elements from 0.
  def initialize(array = [], &comp)
    @heap = array
    @comp = comp || proc { |x, y| x > y }
    heapify
  end
  attr_reader :heap
  # Push new element to the heap.
  def push(item)
    shift_down(0, @heap.push(item).size - 1)
  end
  alias << push
  alias append push
  # Pop the element with the highest priority.
  def pop
    latest = @heap.pop
    return latest if empty?
    ret_item = heap[0]
    heap[0] = latest
    shift_up(0)
    ret_item
  end
  # Get the element with the highest priority.
  def get
    @heap[0]
  end
  alias top get
  # Returns true if the heap is empty.
  def empty?
    @heap.empty?
  end
  private
  def heapify
    (@heap.size / 2 - 1).downto(0) { |i| shift_up(i) }
  end
  def shift_up(pos)
    end_pos = @heap.size
    start_pos = pos
    new_item = @heap[pos]
    left_child_pos = 2 * pos + 1
    while left_child_pos < end_pos
      right_child_pos = left_child_pos + 1
      if right_child_pos < end_pos && @comp.call(@heap[right_child_pos], @heap[left_child_pos])
        left_child_pos = right_child_pos
      end
      # Move the higher priority child up.
      @heap[pos] = @heap[left_child_pos]
      pos = left_child_pos
      left_child_pos = 2 * pos + 1
    end
    @heap[pos] = new_item
    shift_down(start_pos, pos)
  end
  def shift_down(star_pos, pos)
    new_item = @heap[pos]
    while pos > star_pos
      parent_pos = (pos - 1) >> 1
      parent = @heap[parent_pos]
      break if @comp.call(parent, new_item)
      @heap[pos] = parent
      pos = parent_pos
    end
    @heap[pos] = new_item
  end
end
N=gets.to_i
A=gets.split.map(&:to_i)
B=gets.split.map(&:to_i)
MOD=2000
ans=1500
for i in 0...N do
    A[i]=-A[i]*MOD
    B[i]=B[i]/2*MOD
end
for i in 0...N do
    pq=PriorityQueue.new
    
    for j in 0...N do
        pq.push(A[j])
    end
    
    for j in 0...N do
        l=pq.pop();
        l-=B[(i+j)%N]+1
        pq.push(l)
    end
    
    cnt=0
    for j in 0...N do
        l=pq.pop();
        cnt=-l%MOD if cnt<-l%MOD
    end
    
    ans=cnt if ans>cnt
end
puts ans
            
            
            
        
            
La