{ "data": { "question": { "questionId": "3376", "questionFrontendId": "3093", "boundTopicId": null, "title": "Longest Common Suffix Queries", "titleSlug": "longest-common-suffix-queries", "content": "
You are given two arrays of strings wordsContainer
and wordsQuery
.
For each wordsQuery[i]
, you need to find a string from wordsContainer
that has the longest common suffix with wordsQuery[i]
. If there are two or more strings in wordsContainer
that share the longest common suffix, find the string that is the smallest in length. If there are two or more such strings that have the same smallest length, find the one that occurred earlier in wordsContainer
.
Return an array of integers ans
, where ans[i]
is the index of the string in wordsContainer
that has the longest common suffix with wordsQuery[i]
.
\n
Example 1:
\n\nInput: wordsContainer = ["abcd","bcd","xbcd"], wordsQuery = ["cd","bcd","xyz"]
\n\nOutput: [1,1,1]
\n\nExplanation:
\n\nLet's look at each wordsQuery[i]
separately:
wordsQuery[0] = "cd"
, strings from wordsContainer
that share the longest common suffix "cd"
are at indices 0, 1, and 2. Among these, the answer is the string at index 1 because it has the shortest length of 3.wordsQuery[1] = "bcd"
, strings from wordsContainer
that share the longest common suffix "bcd"
are at indices 0, 1, and 2. Among these, the answer is the string at index 1 because it has the shortest length of 3.wordsQuery[2] = "xyz"
, there is no string from wordsContainer
that shares a common suffix. Hence the longest common suffix is ""
, that is shared with strings at index 0, 1, and 2. Among these, the answer is the string at index 1 because it has the shortest length of 3.Example 2:
\n\nInput: wordsContainer = ["abcdefgh","poiuygh","ghghgh"], wordsQuery = ["gh","acbfgh","acbfegh"]
\n\nOutput: [2,0,2]
\n\nExplanation:
\n\nLet's look at each wordsQuery[i]
separately:
wordsQuery[0] = "gh"
, strings from wordsContainer
that share the longest common suffix "gh"
are at indices 0, 1, and 2. Among these, the answer is the string at index 2 because it has the shortest length of 6.wordsQuery[1] = "acbfgh"
, only the string at index 0 shares the longest common suffix "fgh"
. Hence it is the answer, even though the string at index 2 is shorter.wordsQuery[2] = "acbfegh"
, strings from wordsContainer
that share the longest common suffix "gh"
are at indices 0, 1, and 2. Among these, the answer is the string at index 2 because it has the shortest length of 6.\n
Constraints:
\n\n1 <= wordsContainer.length, wordsQuery.length <= 104
1 <= wordsContainer[i].length <= 5 * 103
1 <= wordsQuery[i].length <= 5 * 103
wordsContainer[i]
consists only of lowercase English letters.wordsQuery[i]
consists only of lowercase English letters.wordsContainer[i].length
is at most 5 * 105
.wordsQuery[i].length
is at most 5 * 105
.Compiled with clang 17
using the latest C++ 20 standard, and libstdc++
provided by GCC 11.
Your code is compiled with level two optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
\"], \"java\": [\"Java\", \"OpenJDK 21
. Using compile arguments: --enable-preview --release 21
Most standard library headers are already included automatically for your convenience.
\\r\\nIncludes Pair
class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.
Python 2.7.12
.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
\"], \"c\": [\"C\", \"Compiled with gcc 11
using the gnu11 standard.
Your code is compiled with level one optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
\\r\\n\\r\\nFor hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:
\\r\\n\\r\\n1. Adding an item to a hash.\\r\\n
\\r\\nstruct hash_entry {\\r\\n int id; /* we'll use this field as the key */\\r\\n char name[10];\\r\\n UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n
2. Looking up an item in a hash:\\r\\n
\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n struct hash_entry *s;\\r\\n HASH_FIND_INT(users, &user_id, s);\\r\\n return s;\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n
3. Deleting an item in a hash:\\r\\n
\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n\\r\\n\"], \"csharp\": [\"C#\", \"
C# 12 with .NET 8 runtime
\"], \"javascript\": [\"JavaScript\", \"Node.js 20.10.0
.
Your code is run with --harmony
flag, enabling new ES6 features.
lodash.js library is included by default.
\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use 5.4.0 version of datastructures-js/priority-queue and 4.2.3 version of datastructures-js/queue.
\"], \"ruby\": [\"Ruby\", \"Ruby 3.2
Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
\"], \"swift\": [\"Swift\", \"Swift 5.9
.
You may use swift-algorithms 1.2.0 and swift-collections 1.0.6.
\"], \"golang\": [\"Go\", \"Go 1.21
Support https://pkg.go.dev/github.com/emirpasic/gods@v1.18.1 and https://pkg.go.dev/github.com/emirpasic/gods/v2@v2.0.0-alpha library.
\"], \"python3\": [\"Python3\", \"Python 3.11
.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\"], \"scala\": [\"Scala\", \"Scala 3.3.1
.
Kotlin 1.9.0
.
We are using an experimental compiler provided by JetBrains.
\"], \"rust\": [\"Rust\", \"Rust 1.74.1
Supports rand v0.6\\u00a0from crates.io
\"], \"php\": [\"PHP\", \"PHP 8.2
.
With bcmath module
\"], \"typescript\": [\"Typescript\", \"TypeScript 5.1.6, Node.js 20.10.0
.
Compile Options: --alwaysStrict --strictBindCallApply --strictFunctionTypes --target ES2022
Your code is run with --harmony
flag, enabling new ES2022 features.
lodash.js library is included by default.
\"], \"racket\": [\"Racket\", \"Racket CS v8.11
\\r\\n\\r\\nUsing #lang racket
Required data/gvector data/queue data/order data/heap
automatically for your convenience
Dart 3.2
\\r\\n\\r\\nYour code will be run directly without compiling
\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }