結果

問題 No.3111 Toll Optimization
コンテスト
ユーザー tufusa
提出日時 2025-04-23 15:44:26
言語 Ruby
(3.4.1)
結果
WA  
実行時間 -
コード長 3,144 bytes
コンパイル時間 415 ms
コンパイル使用メモリ 8,064 KB
実行使用メモリ 150,216 KB
最終ジャッジ日時 2025-04-23 15:45:26
合計ジャッジ時間 51,047 ms
ジャッジサーバーID
（参考情報） 		judge5 / judge4
このコードへのチャレンジ
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ファイルパターン 結果
sample AC * 3
other AC * 41 WA * 29
権限があれば一括ダウンロードができます
コンパイルメッセージ
Syntax OK

ソースコード

diff # 

# Priority Queue
# Reference: https://github.com/python/cpython/blob/main/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

  def self.max(array)
    new(array)
  end

  def self.min(array)
    new(array) { |x, y| x < y }
  end

  def self.[](*array, &comp)
    new(array, &comp)
  end

  attr_reader :heap
  alias to_a heap

  # Push new element to the heap.
  def push(item)
    shift_down(0, @heap.push(item).size - 1)
    self
  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
  alias first get

  # Returns true if the heap is empty.
  def empty?
    @heap.empty?
  end

  def size
    @heap.size
  end

  def to_s
    "<#{self.class}: @heap:(#{heap.join(', ')}), @comp:<#{@comp.class} #{@comp.source_location.join(':')}>>"
  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, m, k = gets.split.map(&:to_i)
cs = gets.split.map(&:to_i)
g = Array.new(n) { Array.new(k + 1) { [] } }
m.times do |i|
  u, v = gets.split.map(&:to_i)
  u -= 1
  v -= 1
  (0..k).each do |coup|
    g[u][coup] << [v, cs[i], coup]
    g[v][coup] << [v, cs[i], coup]
    g[u][coup] << [v, 0, coup - 1] if coup >= 1
    g[v][coup] << [u, 0, coup - 1] if coup >= 1
  end
end

q = PriorityQueue.new { _1[1] < _2[1] }
dist = Array.new(n, nil)
q << [0, 0, k]

until q.empty?
  now, cos, coup = q.pop
  next unless dist[now].nil?

  dist[now] = cos
  g[now][coup].each do |nxt, nxcos, nxcoup|
    next unless dist[nxt].nil?

    q << [nxt, cos + nxcos, nxcoup]
  end
end

puts dist[-1] || -1
0