30:串联所有单词的子串
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//给定一个字符串 s 和一些 长度相同 的单词 words 。找出 s 中恰好可以由 words 中所有单词串联形成的子串的起始位置。
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//
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// 注意子串要与 words 中的单词完全匹配,中间不能有其他字符 ,但不需要考虑 words 中单词串联的顺序。
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//
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//
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//
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// 示例 1:
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//
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//
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//输入:s = "barfoothefoobarman", words = ["foo","bar"]
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//输出:[0,9]
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//解释:
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//从索引 0 和 9 开始的子串分别是 "barfoo" 和 "foobar" 。
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//输出的顺序不重要, [9,0] 也是有效答案。
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//
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//
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// 示例 2:
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//
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//
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//输入:s = "wordgoodgoodgoodbestword", words = ["word","good","best","word"]
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//输出:[]
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//
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//
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// 示例 3:
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//
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//
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//输入:s = "barfoofoobarthefoobarman", words = ["bar","foo","the"]
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//输出:[6,9,12]
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//
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//
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//
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//
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// 提示:
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//
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//
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// 1 <= s.length <= 10⁴
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// s 由小写英文字母组成
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// 1 <= words.length <= 5000
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// 1 <= words[i].length <= 30
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// words[i] 由小写英文字母组成
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//
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// Related Topics 哈希表 字符串 滑动窗口 👍 615 👎 0
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package leetcode.editor.cn;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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//30:串联所有单词的子串
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public class SubstringWithConcatenationOfAllWords {
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public static void main(String[] args) {
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Solution solution = new SubstringWithConcatenationOfAllWords().new Solution();
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}
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//leetcode submit region begin(Prohibit modification and deletion)
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class Solution {
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public List<Integer> findSubstring(String s, String[] words) {
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Map<String, Integer> map = new HashMap<>();
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int count = words.length;
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for (String word : words) {
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map.put(word, map.getOrDefault(word, 0) + 1);
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}
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int size = words[0].length();
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List<Integer> list = new ArrayList<>();
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for (int i = 0; i < s.length() - count * size + 1; i++) {
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String tmp = s.substring(i, i + count * size);
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Map<String, Integer> tmpMap = new HashMap<>();
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for (int j = 0; j < count * size; j += size) {
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String word = tmp.substring(j, j + size);
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tmpMap.put(word, tmpMap.getOrDefault(word, 0) + 1);
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}
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if (map.equals(tmpMap)){
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list.add(i);
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}
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}
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return list;
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}
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}
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//leetcode submit region end(Prohibit modification and deletion)
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}
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<p>给定一个字符串 <code>s</code><strong> </strong>和一些 <strong>长度相同</strong> 的单词 <code>words</code><strong> 。</strong>找出 <code>s</code><strong> </strong>中恰好可以由 <code>words</code><strong> </strong>中所有单词串联形成的子串的起始位置。</p>
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<p>注意子串要与 <code>words</code><strong> </strong>中的单词完全匹配,<strong>中间不能有其他字符 </strong>,但不需要考虑 <code>words</code><strong> </strong>中单词串联的顺序。</p>
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<p> </p>
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<p><strong>示例 1:</strong></p>
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<pre>
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<strong>输入:</strong>s = "barfoothefoobarman", words = ["foo","bar"]
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<strong>输出:</strong><code>[0,9]</code>
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<strong>解释:</strong>
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从索引 0 和 9 开始的子串分别是 "barfoo" 和 "foobar" 。
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输出的顺序不重要, [9,0] 也是有效答案。
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</pre>
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<p><strong>示例 2:</strong></p>
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<pre>
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<strong>输入:</strong>s = "wordgoodgoodgoodbestword", words = ["word","good","best","word"]
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<code><strong>输出:</strong>[]</code>
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</pre>
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<p><strong>示例 3:</strong></p>
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<pre>
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<strong>输入:</strong>s = "barfoofoobarthefoobarman", words = ["bar","foo","the"]
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<strong>输出:</strong>[6,9,12]
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</pre>
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<p> </p>
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<p><strong>提示:</strong></p>
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<ul>
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<li><code>1 <= s.length <= 10<sup>4</sup></code></li>
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<li><code>s</code> 由小写英文字母组成</li>
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<li><code>1 <= words.length <= 5000</code></li>
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<li><code>1 <= words[i].length <= 30</code></li>
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<li><code>words[i]</code> 由小写英文字母组成</li>
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</ul>
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<div><div>Related Topics</div><div><li>哈希表</li><li>字符串</li><li>滑动窗口</li></div></div><br><div><li>👍 615</li><li>👎 0</li></div>
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