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发布于 2024-06-17 01:04:03 字数 9376 浏览 0 评论 0 收藏 0

212. 单词搜索 II

English Version

题目描述

给定一个 m x n 二维字符网格 board 和一个单词(字符串)列表 words, _返回所有二维网格上的单词_ 。

单词必须按照字母顺序,通过 相邻的单元格 内的字母构成,其中“相邻”单元格是那些水平相邻或垂直相邻的单元格。同一个单元格内的字母在一个单词中不允许被重复使用。

 

示例 1:

输入:board = [["o","a","a","n"],["e","t","a","e"],["i","h","k","r"],["i","f","l","v"]], words = ["oath","pea","eat","rain"]
输出:["eat","oath"]

示例 2:

输入:board = [["a","b"],["c","d"]], words = ["abcb"]
输出:[]

 

提示:

  • m == board.length
  • n == board[i].length
  • 1 <= m, n <= 12
  • board[i][j] 是一个小写英文字母
  • 1 <= words.length <= 3 * 104
  • 1 <= words[i].length <= 10
  • words[i] 由小写英文字母组成
  • words 中的所有字符串互不相同

解法

方法一:前缀树 + DFS

我们首先将 words 中的单词构建成前缀树,前缀树的每个节点包含一个长度为 $26$ 的数组 children,表示该节点的子节点,数组的下标表示子节点对应的字符,数组的值表示子节点的引用。同时,每个节点还包含一个整数 ref,表示该节点对应的单词在 words 中的引用,如果该节点不是单词的结尾,则 ref 的值为 $-1$。

接下来,我们对于 board 中的每个单元格,从该单元格出发,进行深度优先搜索,搜索过程中,如果当前单词不是前缀树中的单词,则剪枝,如果当前单词是前缀树中的单词,则将该单词加入答案,并将该单词在前缀树中的引用置为 $-1$,表示该单词已经被找到,不需要再次搜索。

最后,我们将答案返回即可。

时间复杂度 $(m \times n \times 3^{l-1})$,空间复杂度 $(k \times l)$。其中 $m$ 和 $n$ 分别是 board 的行数和列数。而 $l$ 和 $k$ 分别是 words 中的单词的平均长度和单词的个数。

class Trie:
  def __init__(self):
    self.children: List[Trie | None] = [None] * 26
    self.ref: int = -1

  def insert(self, w: str, ref: int):
    node = self
    for c in w:
      idx = ord(c) - ord('a')
      if node.children[idx] is None:
        node.children[idx] = Trie()
      node = node.children[idx]
    node.ref = ref


class Solution:
  def findWords(self, board: List[List[str]], words: List[str]) -> List[str]:
    def dfs(node: Trie, i: int, j: int):
      idx = ord(board[i][j]) - ord('a')
      if node.children[idx] is None:
        return
      node = node.children[idx]
      if node.ref >= 0:
        ans.append(words[node.ref])
        node.ref = -1
      c = board[i][j]
      board[i][j] = '#'
      for a, b in pairwise((-1, 0, 1, 0, -1)):
        x, y = i + a, j + b
        if 0 <= x < m and 0 <= y < n and board[x][y] != '#':
          dfs(node, x, y)
      board[i][j] = c

    tree = Trie()
    for i, w in enumerate(words):
      tree.insert(w, i)
    m, n = len(board), len(board[0])
    ans = []
    for i in range(m):
      for j in range(n):
        dfs(tree, i, j)
    return ans
class Trie {
  Trie[] children = new Trie[26];
  int ref = -1;

  public void insert(String w, int ref) {
    Trie node = this;
    for (int i = 0; i < w.length(); ++i) {
      int j = w.charAt(i) - 'a';
      if (node.children[j] == null) {
        node.children[j] = new Trie();
      }
      node = node.children[j];
    }
    node.ref = ref;
  }
}

class Solution {
  private char[][] board;
  private String[] words;
  private List<String> ans = new ArrayList<>();

  public List<String> findWords(char[][] board, String[] words) {
    this.board = board;
    this.words = words;
    Trie tree = new Trie();
    for (int i = 0; i < words.length; ++i) {
      tree.insert(words[i], i);
    }
    int m = board.length, n = board[0].length;
    for (int i = 0; i < m; ++i) {
      for (int j = 0; j < n; ++j) {
        dfs(tree, i, j);
      }
    }
    return ans;
  }

  private void dfs(Trie node, int i, int j) {
    int idx = board[i][j] - 'a';
    if (node.children[idx] == null) {
      return;
    }
    node = node.children[idx];
    if (node.ref != -1) {
      ans.add(words[node.ref]);
      node.ref = -1;
    }
    char c = board[i][j];
    board[i][j] = '#';
    int[] dirs = {-1, 0, 1, 0, -1};
    for (int k = 0; k < 4; ++k) {
      int x = i + dirs[k], y = j + dirs[k + 1];
      if (x >= 0 && x < board.length && y >= 0 && y < board[0].length && board[x][y] != '#') {
        dfs(node, x, y);
      }
    }
    board[i][j] = c;
  }
}
class Trie {
public:
  vector<Trie*> children;
  int ref;

  Trie()
    : children(26, nullptr)
    , ref(-1) {}

  void insert(const string& w, int ref) {
    Trie* node = this;
    for (char c : w) {
      c -= 'a';
      if (!node->children[c]) {
        node->children[c] = new Trie();
      }
      node = node->children[c];
    }
    node->ref = ref;
  }
};

class Solution {
public:
  vector<string> findWords(vector<vector<char>>& board, vector<string>& words) {
    Trie* tree = new Trie();
    for (int i = 0; i < words.size(); ++i) {
      tree->insert(words[i], i);
    }
    vector<string> ans;
    int m = board.size(), n = board[0].size();

    function<void(Trie*, int, int)> dfs = [&](Trie* node, int i, int j) {
      int idx = board[i][j] - 'a';
      if (!node->children[idx]) {
        return;
      }
      node = node->children[idx];
      if (node->ref != -1) {
        ans.emplace_back(words[node->ref]);
        node->ref = -1;
      }
      int dirs[5] = {-1, 0, 1, 0, -1};
      char c = board[i][j];
      board[i][j] = '#';
      for (int k = 0; k < 4; ++k) {
        int x = i + dirs[k], y = j + dirs[k + 1];
        if (x >= 0 && x < m && y >= 0 && y < n && board[x][y] != '#') {
          dfs(node, x, y);
        }
      }
      board[i][j] = c;
    };

    for (int i = 0; i < m; ++i) {
      for (int j = 0; j < n; ++j) {
        dfs(tree, i, j);
      }
    }
    return ans;
  }
};
type Trie struct {
  children [26]*Trie
  ref    int
}

func newTrie() *Trie {
  return &Trie{ref: -1}
}
func (this *Trie) insert(w string, ref int) {
  node := this
  for _, c := range w {
    c -= 'a'
    if node.children[c] == nil {
      node.children[c] = newTrie()
    }
    node = node.children[c]
  }
  node.ref = ref
}

func findWords(board [][]byte, words []string) (ans []string) {
  trie := newTrie()
  for i, w := range words {
    trie.insert(w, i)
  }
  m, n := len(board), len(board[0])
  var dfs func(*Trie, int, int)
  dfs = func(node *Trie, i, j int) {
    idx := board[i][j] - 'a'
    if node.children[idx] == nil {
      return
    }
    node = node.children[idx]
    if node.ref != -1 {
      ans = append(ans, words[node.ref])
      node.ref = -1
    }
    c := board[i][j]
    board[i][j] = '#'
    dirs := [5]int{-1, 0, 1, 0, -1}
    for k := 0; k < 4; k++ {
      x, y := i+dirs[k], j+dirs[k+1]
      if x >= 0 && x < m && y >= 0 && y < n && board[x][y] != '#' {
        dfs(node, x, y)
      }
    }
    board[i][j] = c
  }
  for i := 0; i < m; i++ {
    for j := 0; j < n; j++ {
      dfs(trie, i, j)
    }
  }
  return
}
class Trie {
  children: Trie[];
  ref: number;

  constructor() {
    this.children = new Array(26);
    this.ref = -1;
  }

  insert(w: string, ref: number): void {
    let node: Trie = this;
    for (let i = 0; i < w.length; i++) {
      const c = w.charCodeAt(i) - 97;
      if (node.children[c] == null) {
        node.children[c] = new Trie();
      }
      node = node.children[c];
    }
    node.ref = ref;
  }
}

function findWords(board: string[][], words: string[]): string[] {
  const tree = new Trie();
  for (let i = 0; i < words.length; ++i) {
    tree.insert(words[i], i);
  }
  const m = board.length;
  const n = board[0].length;
  const ans: string[] = [];
  const dirs: number[] = [-1, 0, 1, 0, -1];
  const dfs = (node: Trie, i: number, j: number) => {
    const idx = board[i][j].charCodeAt(0) - 97;
    if (node.children[idx] == null) {
      return;
    }
    node = node.children[idx];
    if (node.ref != -1) {
      ans.push(words[node.ref]);
      node.ref = -1;
    }
    const c = board[i][j];
    board[i][j] = '#';
    for (let k = 0; k < 4; ++k) {
      const x = i + dirs[k];
      const y = j + dirs[k + 1];
      if (x >= 0 && x < m && y >= 0 && y < n && board[x][y] != '#') {
        dfs(node, x, y);
      }
    }
    board[i][j] = c;
  };
  for (let i = 0; i < m; ++i) {
    for (let j = 0; j < n; ++j) {
      dfs(tree, i, j);
    }
  }
  return ans;
}

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