Shortest Path to Get All Keys
<p>You are given an <code>m x n</code> grid <code>grid</code> where:</p>

<ul>
	<li><code>&#39;.&#39;</code> is an empty cell.</li>
	<li><code>&#39;#&#39;</code> is a wall.</li>
	<li><code>&#39;@&#39;</code> is the starting point.</li>
	<li>Lowercase letters represent keys.</li>
	<li>Uppercase letters represent locks.</li>
</ul>

<p>You start at the starting point and one move consists of walking one space in one of the four cardinal directions. You cannot walk outside the grid, or walk into a wall.</p>

<p>If you walk over a key, you can pick it up and you cannot walk over a lock unless you have its corresponding key.</p>

<p>For some <code><font face="monospace">1 &lt;= k &lt;= 6</font></code>, there is exactly one lowercase and one uppercase letter of the first <code>k</code> letters of the English alphabet in the grid. This means that there is exactly one key for each lock, and one lock for each key; and also that the letters used to represent the keys and locks were chosen in the same order as the English alphabet.</p>

<p>Return <em>the lowest number of moves to acquire all keys</em>. If it is impossible, return <code>-1</code>.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0800-0899/0864.Shortest%20Path%20to%20Get%20All%20Keys/images/lc-keys2.jpg" style="width: 404px; height: 245px;" />
<pre>
<strong>Input:</strong> grid = [&quot;@.a..&quot;,&quot;###.#&quot;,&quot;b.A.B&quot;]
<strong>Output:</strong> 8
<strong>Explanation:</strong> Note that the goal is to obtain all the keys not to open all the locks.
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0800-0899/0864.Shortest%20Path%20to%20Get%20All%20Keys/images/lc-key2.jpg" style="width: 404px; height: 245px;" />
<pre>
<strong>Input:</strong> grid = [&quot;@..aA&quot;,&quot;..B#.&quot;,&quot;....b&quot;]
<strong>Output:</strong> 6
</pre>

<p><strong class="example">Example 3:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0800-0899/0864.Shortest%20Path%20to%20Get%20All%20Keys/images/lc-keys3.jpg" style="width: 244px; height: 85px;" />
<pre>
<strong>Input:</strong> grid = [&quot;@Aa&quot;]
<strong>Output:</strong> -1
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>m == grid.length</code></li>
	<li><code>n == grid[i].length</code></li>
	<li><code>1 &lt;= m, n &lt;= 30</code></li>
	<li><code>grid[i][j]</code> is either an English letter, <code>&#39;.&#39;</code>, <code>&#39;#&#39;</code>, or <code>&#39;@&#39;</code>.&nbsp;</li>
	<li>There is exactly one&nbsp;<code>&#39;@&#39;</code>&nbsp;in the grid.</li>
	<li>The number of keys in the grid is in the range <code>[1, 6]</code>.</li>
	<li>Each key in the grid is <strong>unique</strong>.</li>
	<li>Each key in the grid has a matching lock.</li>
</ul>
Bit Manipulation; Breadth-First Search; Array; Matrix
class Solution:
    def shortestPathAllKeys(self, grid: List[str]) -> int:
        m, n = len(grid), len(grid[0])
        # 找起点 (si, sj)
        si, sj = next((i, j) for i in range(m) for j in range(n) if grid[i][j] == '@')
        # 统计钥匙数量
        k = sum(v.islower() for row in grid for v in row)
        dirs = (-1, 0, 1, 0, -1)
        q = deque([(si, sj, 0)])
        vis = {(si, sj, 0)}
        ans = 0
        while q:
            for _ in range(len(q)):
                i, j, state = q.popleft()
                # 找到所有钥匙，返回当前步数
                if state == (1 << k) - 1:
                    return ans

                # 往四个方向搜索
                for a, b in pairwise(dirs):
                    x, y = i + a, j + b
                    nxt = state
                    # 在边界范围内
                    if 0 <= x < m and 0 <= y < n:
                        c = grid[x][y]
                        # 是墙，或者是锁，但此时没有对应的钥匙，无法通过
                        if (
                            c == '#'
                            or c.isupper()
                            and (state & (1 << (ord(c) - ord('A')))) == 0
                        ):
                            continue
                        # 是钥匙
                        if c.islower():
                            # 更新状态
                            nxt |= 1 << (ord(c) - ord('a'))
                        # 此状态未访问过，入队
                        if (x, y, nxt) not in vis:
                            vis.add((x, y, nxt))
                            q.append((x, y, nxt))
            # 步数加一
            ans += 1
        return -1
