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"data": {
"question": {
"questionId": "1000047",
"questionFrontendId": "面试题 16.20",
"categoryTitle": "LCCI",
"boundTopicId": 101200,
"title": "T9 LCCI",
"titleSlug": "t9-lcci",
"content": "<p>On old cell phones, users typed on a numeric keypad and the phone would provide a list of words that matched these numbers. Each digit mapped to a set of 0&nbsp;- 4 letters. Implement an algo&shy;rithm to return a list of matching words, given a sequence of digits. You are provided a list of valid words. The mapping is shown in the diagram below:</p>\r\n\r\n<p><img src=\"https://assets.leetcode-cn.com/aliyun-lc-upload/original_images/17_telephone_keypad.png\" style=\"width: 200px;\" /></p>\r\n\r\n<p><strong>Example 1:</strong></p>\r\n\r\n<pre>\r\n<strong>Input:</strong> num = &quot;8733&quot;, words = [&quot;tree&quot;, &quot;used&quot;]\r\n<strong>Output:</strong> [&quot;tree&quot;, &quot;used&quot;]\r\n</pre>\r\n\r\n<p><strong>Example 2:</strong></p>\r\n\r\n<pre>\r\n<strong>Input:</strong> num = &quot;2&quot;, words = [&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;]\r\n<strong>Output:</strong> [&quot;a&quot;, &quot;b&quot;, &quot;c&quot;]</pre>\r\n\r\n<p>Note:</p>\r\n\r\n<ul>\r\n\t<li><code>num.length &lt;= 1000</code></li>\r\n\t<li><code>words.length &lt;= 500</code></li>\r\n\t<li><code>words[i].length == num.length</code></li>\r\n\t<li><code>There are no number 0 and 1 in num</code>.</li>\r\n</ul>\r\n",
"translatedTitle": "T9键盘",
"translatedContent": "<p>在老式手机上用户通过数字键盘输入手机将提供与这些数字相匹配的单词列表。每个数字映射到0至4个字母。给定一个数字序列实现一个算法来返回匹配单词的列表。你会得到一张含有有效单词的列表。映射如下图所示</p>\n\n<p><img src=\"https://assets.leetcode-cn.com/aliyun-lc-upload/original_images/17_telephone_keypad.png\" style=\"width: 200px;\"></p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre><strong>输入:</strong> num = &quot;8733&quot;, words = [&quot;tree&quot;, &quot;used&quot;]\n<strong>输出:</strong> [&quot;tree&quot;, &quot;used&quot;]\n</pre>\n\n<p><strong>示例 2:</strong></p>\n\n<pre><strong>输入:</strong> num = &quot;2&quot;, words = [&quot;a&quot;, &quot;b&quot;, &quot;c&quot;, &quot;d&quot;]\n<strong>输出:</strong> [&quot;a&quot;, &quot;b&quot;, &quot;c&quot;]</pre>\n\n<p>提示:</p>\n\n<ul>\n\t<li><code>num.length &lt;= 1000</code></li>\n\t<li><code>words.length &lt;= 500</code></li>\n\t<li><code>words[i].length == num.length</code></li>\n\t<li><code>num</code>中不会出现 0, 1 这两个数字</li>\n</ul>\n",
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"slug": "array",
"translatedName": "数组",
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"code": "class Solution {\npublic:\n vector<string> getValidT9Words(string num, vector<string>& words) {\n\n }\n};",
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"code": "class Solution(object):\n def getValidT9Words(self, num, words):\n \"\"\"\n :type num: str\n :type words: List[str]\n :rtype: List[str]\n \"\"\"",
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"code": "defmodule Solution do\n @spec get_valid_t9_words(num :: String.t, words :: [String.t]) :: [String.t]\n def get_valid_t9_words(num, words) do\n\n end\nend",
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"hints": [
"想想递归。",
"你能递归地尝试所有的可能性吗?",
"在现实世界中,我们应该知道一些前缀/子字符串是行不通的。例如考虑数字33835676368。虽然3383确实对应于fftf但是没有以fftf开头的单词。有没有什么办法对于这样的情况做特殊处理",
"trie可以帮助我们。如果将整个单词列表存储在trie中会怎样",
"我们可能会多次运行这个算法。如果做更多的预处理,这里有办法优化吗?",
"通过预处理实际上可以将查找时间降低到O(1)。"
],
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"sampleTestCase": "\"8733\"\n[\"tree\", \"used\"]",
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