2
2

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?

More than 3 years have passed since last update.

PythonでAtCoderの深さ優先探索(DFS)を解いてみた(結果:TLE...)

Last updated at Posted at 2020-05-02

####目的
・Pythonの勉強がてら、最近競技プログラミングをよくやってます。過去問を解いて行く際に、深さ優先探索でつまづいたので解法をまとめました。
挑戦した問題は、Typical Contest 001のA問題の深さ優先探索です。
https://atcoder.jp/contests/atc001/tasks/dfs_a

解答


class Dfs():
    def dfs(self, h, w, maze, init):
        search_stack = [init] # 初期座標を探索スタックに格納
        fin = [] # 完了スタックを定義
        while search_stack:
            latest = search_stack.pop() # 探索スタックから現在地を抽出
            if maze[latest[0]][latest[1]] == "g": # 現在地がGoalならYesを出力
                print("Yes")
                exit()
            else:
                fin.append(latest) # 探索済の座標を完了スタックに格納
                candi = [(latest[0]-1, latest[1]), (latest[0]+1, latest[1]), (latest[0], latest[1]-1), (latest[0], latest[1]+1)] # 座標候補を定義
                for (ny, nx) in candi:
                    if self.check_range(h, w, ny, nx): # 座標候補が範囲外に出ていないか判定
                        if self.check_wall(maze, ny, nx): # 座標候補が壁ではないか判定
                            if not (ny, nx)  in search_stack and not (ny, nx) in fin: # 検索スタック、完了スタックに座標候補が含まれていないか判定
                                search_stack.append((ny, nx)) # 探索スタックに格納
                                continue
        print("No")                    
        
    def check_range(self, h, w, y, x):
        if x > w-1 or x < 0:
            return False
        elif y > h-1 or y < 0:
            return False
        else:
            return True
    
    def check_wall(self, maze, y, x):
        if maze[y][x] == "#":
            return False
        else: 
            return True

if __name__ == "__main__":
    h,w = map(int,input().split())
    maze = [list(input()) for i in range(h)]
    for y, row in enumerate(maze):
        try:
            init = (y, row.index("s")) # スタート地点を探索
            d = Dfs()
            d.dfs(h, w, maze, init)
            break
        except ValueError:
            pass
2
2
0

Register as a new user and use Qiita more conveniently

  1. You get articles that match your needs
  2. You can efficiently read back useful information
  3. You can use dark theme
What you can do with signing up
2
2

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?