Minimum Genetic Mutation
<p>A gene string can be represented by an 8-character long string, with choices from <code>&#39;A&#39;</code>, <code>&#39;C&#39;</code>, <code>&#39;G&#39;</code>, and <code>&#39;T&#39;</code>.</p>

<p>Suppose we need to investigate a mutation from a gene string <code>startGene</code> to a gene string <code>endGene</code> where one mutation is defined as one single character changed in the gene string.</p>

<ul>
	<li>For example, <code>&quot;AACCGGTT&quot; --&gt; &quot;AACCGGTA&quot;</code> is one mutation.</li>
</ul>

<p>There is also a gene bank <code>bank</code> that records all the valid gene mutations. A gene must be in <code>bank</code> to make it a valid gene string.</p>

<p>Given the two gene strings <code>startGene</code> and <code>endGene</code> and the gene bank <code>bank</code>, return <em>the minimum number of mutations needed to mutate from </em><code>startGene</code><em> to </em><code>endGene</code>. If there is no such a mutation, return <code>-1</code>.</p>

<p>Note that the starting point is assumed to be valid, so it might not be included in the bank.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong> startGene = &quot;AACCGGTT&quot;, endGene = &quot;AACCGGTA&quot;, bank = [&quot;AACCGGTA&quot;]
<strong>Output:</strong> 1
</pre>

<p><strong class="example">Example 2:</strong></p>

<pre>
<strong>Input:</strong> startGene = &quot;AACCGGTT&quot;, endGene = &quot;AAACGGTA&quot;, bank = [&quot;AACCGGTA&quot;,&quot;AACCGCTA&quot;,&quot;AAACGGTA&quot;]
<strong>Output:</strong> 2
</pre>

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

<ul>
	<li><code>0 &lt;= bank.length &lt;= 10</code></li>
	<li><code>startGene.length == endGene.length == bank[i].length == 8</code></li>
	<li><code>startGene</code>, <code>endGene</code>, and <code>bank[i]</code> consist of only the characters <code>[&#39;A&#39;, &#39;C&#39;, &#39;G&#39;, &#39;T&#39;]</code>.</li>
</ul>
Breadth-First Search; Hash Table; String
use std::collections::{HashSet, VecDeque};

impl Solution {
    pub fn min_mutation(start_gene: String, end_gene: String, bank: Vec<String>) -> i32 {
        let mut q = VecDeque::new();
        q.push_back((start_gene.clone(), 0));
        let mut vis = HashSet::new();
        vis.insert(start_gene);

        while let Some((gene, depth)) = q.pop_front() {
            if gene == end_gene {
                return depth;
            }
            for next in &bank {
                let mut c = 2;
                for k in 0..8 {
                    if gene.as_bytes()[k] != next.as_bytes()[k] {
                        c -= 1;
                    }
                    if c == 0 {
                        break;
                    }
                }
                if c > 0 && !vis.contains(next) {
                    vis.insert(next.clone());
                    q.push_back((next.clone(), depth + 1));
                }
            }
        }
        -1
    }
}
