{ "data": { "question": { "questionId": "1058", "questionFrontendId": "1061", "categoryTitle": "Algorithms", "boundTopicId": 3302, "title": "Lexicographically Smallest Equivalent String", "titleSlug": "lexicographically-smallest-equivalent-string", "content": "

You are given two strings of the same length s1 and s2 and a string baseStr.

\n\n

We say s1[i] and s2[i] are equivalent characters.

\n\n\n\n

Equivalent characters follow the usual rules of any equivalence relation:

\n\n\n\n

For example, given the equivalency information from s1 = "abc" and s2 = "cde", "acd" and "aab" are equivalent strings of baseStr = "eed", and "aab" is the lexicographically smallest equivalent string of baseStr.

\n\n

Return the lexicographically smallest equivalent string of baseStr by using the equivalency information from s1 and s2.

\n\n

 

\n

Example 1:

\n\n
\nInput: s1 = "parker", s2 = "morris", baseStr = "parser"\nOutput: "makkek"\nExplanation: Based on the equivalency information in s1 and s2, we can group their characters as [m,p], [a,o], [k,r,s], [e,i].\nThe characters in each group are equivalent and sorted in lexicographical order.\nSo the answer is "makkek".\n
\n\n

Example 2:

\n\n
\nInput: s1 = "hello", s2 = "world", baseStr = "hold"\nOutput: "hdld"\nExplanation: Based on the equivalency information in s1 and s2, we can group their characters as [h,w], [d,e,o], [l,r].\nSo only the second letter 'o' in baseStr is changed to 'd', the answer is "hdld".\n
\n\n

Example 3:

\n\n
\nInput: s1 = "leetcode", s2 = "programs", baseStr = "sourcecode"\nOutput: "aauaaaaada"\nExplanation: We group the equivalent characters in s1 and s2 as [a,o,e,r,s,c], [l,p], [g,t] and [d,m], thus all letters in baseStr except 'u' and 'd' are transformed to 'a', the answer is "aauaaaaada".\n
\n\n

 

\n

Constraints:

\n\n\n", "translatedTitle": "按字典序排列最小的等效字符串", "translatedContent": "

给出长度相同的两个字符串s1 和 s2 ,还有一个字符串 baseStr 。

\n\n

其中  s1[i] 和 s2[i]  是一组等价字符。

\n\n\n\n

等价字符遵循任何等价关系的一般规则:

\n\n\n\n

例如, s1 = \"abc\" 和 s2 = \"cde\" 的等价信息和之前的例子一样,那么 baseStr = \"eed\" , \"acd\" 或 \"aab\",这三个字符串都是等价的,而 \"aab\" 是 baseStr 的按字典序最小的等价字符串

\n\n

利用 s1 和 s2 的等价信息,找出并返回 baseStr 的按字典序排列最小的等价字符串。

\n\n

 

\n\n

示例 1:

\n\n
\n输入:s1 = \"parker\", s2 = \"morris\", baseStr = \"parser\"\n输出:\"makkek\"\n解释:根据 AB 中的等价信息,我们可以将这些字符分为 [m,p], [a,o], [k,r,s], [e,i] 共 4 组。每组中的字符都是等价的,并按字典序排列。所以答案是 \"makkek\"。\n
\n\n

示例 2:

\n\n
\n输入:s1 = \"hello\", s2 = \"world\", baseStr = \"hold\"\n输出:\"hdld\"\n解释:根据 AB 中的等价信息,我们可以将这些字符分为 [h,w], [d,e,o], [l,r] 共 3 组。所以只有 S 中的第二个字符 'o' 变成 'd',最后答案为 \"hdld\"。\n
\n\n

示例 3:

\n\n
\n输入:s1 = \"leetcode\", s2 = \"programs\", baseStr = \"sourcecode\"\n输出:\"aauaaaaada\"\n解释:我们可以把 A 和 B 中的等价字符分为 [a,o,e,r,s,c], [l,p], [g,t][d,m] 共 4 组,因此 S 中除了 'u''d' 之外的所有字母都转化成了 'a',最后答案为 \"aauaaaaada\"。\n
\n\n

 

\n\n

提示:

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string? string? string?)\n )", "__typename": "CodeSnippetNode" }, { "lang": "Erlang", "langSlug": "erlang", "code": "-spec smallest_equivalent_string(S1 :: unicode:unicode_binary(), S2 :: unicode:unicode_binary(), BaseStr :: unicode:unicode_binary()) -> unicode:unicode_binary().\nsmallest_equivalent_string(S1, S2, BaseStr) ->\n .", "__typename": "CodeSnippetNode" }, { "lang": "Elixir", "langSlug": "elixir", "code": "defmodule Solution do\n @spec smallest_equivalent_string(s1 :: String.t, s2 :: String.t, base_str :: String.t) :: String.t\n def smallest_equivalent_string(s1, s2, base_str) do\n \n end\nend", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"6.2K\", \"totalSubmission\": \"9.5K\", \"totalAcceptedRaw\": 6164, \"totalSubmissionRaw\": 9463, \"acRate\": \"65.1%\"}", "hints": [ "Model these equalities as edges of a graph.", "Group each connected component of the graph and assign each node of this component to the node with the lowest lexicographically character.", "Finally convert the string with the precalculated information." ], "solution": null, "status": null, "sampleTestCase": "\"parker\"\n\"morris\"\n\"parser\"", "metaData": "{\n \"name\": \"smallestEquivalentString\",\n \"params\": [\n {\n \"name\": \"s1\",\n \"type\": \"string\"\n },\n {\n \"name\": \"s2\",\n \"type\": \"string\"\n },\n {\n \"name\": \"baseStr\",\n \"type\": \"string\"\n }\n ],\n \"return\": {\n \"type\": \"string\"\n }\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "envInfo": "{\"cpp\":[\"C++\",\"

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