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小墨
2022-05-02 23:44:12 +08:00
parent 7ea03594b3
commit 2a71c78585
4790 changed files with 11696 additions and 10944 deletions
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leetcode/originData/word-search-ii.json
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@@ -11,10 +11,10 @@
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"difficulty": "Hard",
"likes": 5739,
"dislikes": 205,
"likes": 5858,
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"isLiked": null,
"similarQuestions": "[{\"title\": \"Word Search\", \"titleSlug\": \"word-search\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Unique Paths III\", \"titleSlug\": \"unique-paths-iii\", \"difficulty\": \"Hard\", \"translatedTitle\": null}]",
"similarQuestions": "[{\"title\": \"Word Search\", \"titleSlug\": \"word-search\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"Unique Paths III\", \"titleSlug\": \"unique-paths-iii\", \"difficulty\": \"Hard\", \"translatedTitle\": null}, {\"title\": \"Encrypt and Decrypt Strings\", \"titleSlug\": \"encrypt-and-decrypt-strings\", \"difficulty\": \"Hard\", \"translatedTitle\": null}]",
"exampleTestcases": "[[\"o\",\"a\",\"a\",\"n\"],[\"e\",\"t\",\"a\",\"e\"],[\"i\",\"h\",\"k\",\"r\"],[\"i\",\"f\",\"l\",\"v\"]]\n[\"oath\",\"pea\",\"eat\",\"rain\"]\n[[\"a\",\"b\"],[\"c\",\"d\"]]\n[\"abcb\"]",
"categoryTitle": "Algorithms",
"contributors": [],
@@ -161,7 +161,7 @@
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"419.9K\", \"totalSubmission\": \"1.1M\", \"totalAcceptedRaw\": 419859, \"totalSubmissionRaw\": 1101007, \"acRate\": \"38.1%\"}",
"stats": "{\"totalAccepted\": \"429K\", \"totalSubmission\": \"1.1M\", \"totalAcceptedRaw\": 428972, \"totalSubmissionRaw\": 1128343, \"acRate\": \"38.0%\"}",
"hints": [
"You would need to optimize your backtracking to pass the larger test. Could you stop backtracking earlier?",
"If the current candidate does not exist in all words&#39; prefix, you could stop backtracking immediately. What kind of data structure could answer such query efficiently? Does a hash table work? Why or why not? How about a Trie? If you would like to learn how to implement a basic trie, please work on this problem: <a href=\"https://leetcode.com/problems/implement-trie-prefix-tree/\">Implement Trie (Prefix Tree)</a> first."