{ "data": { "question": { "questionId": "2190", "questionFrontendId": "2085", "boundTopicId": null, "title": "Count Common Words With One Occurrence", "titleSlug": "count-common-words-with-one-occurrence", "content": "

Given two string arrays words1 and words2, return the number of strings that appear exactly once in each of the two arrays.

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Example 1:

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\nInput: words1 = ["leetcode","is","amazing","as","is"], words2 = ["amazing","leetcode","is"]\nOutput: 2\nExplanation:\n- "leetcode" appears exactly once in each of the two arrays. We count this string.\n- "amazing" appears exactly once in each of the two arrays. We count this string.\n- "is" appears in each of the two arrays, but there are 2 occurrences of it in words1. We do not count this string.\n- "as" appears once in words1, but does not appear in words2. We do not count this string.\nThus, there are 2 strings that appear exactly once in each of the two arrays.\n
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Example 2:

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\nInput: words1 = ["b","bb","bbb"], words2 = ["a","aa","aaa"]\nOutput: 0\nExplanation: There are no strings that appear in each of the two arrays.\n
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Example 3:

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\nInput: words1 = ["a","ab"], words2 = ["a","a","a","ab"]\nOutput: 1\nExplanation: The only string that appears exactly once in each of the two arrays is "ab".\n
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Constraints:

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Compiled with clang 11 using the latest C++ 20 standard.

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Your code is compiled with level two optimization (-O2). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

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Most standard library headers are already included automatically for your convenience.

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OpenJDK 17. Java 8 features such as lambda expressions and stream API can be used.

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Most standard library headers are already included automatically for your convenience.

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Includes Pair class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.

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Python 2.7.12.

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Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.

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For Map/TreeMap data structure, you may use sortedcontainers library.

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Note that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.

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Compiled with gcc 8.2 using the gnu11 standard.

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Your code is compiled with level one optimization (-O1). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.

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Most standard library headers are already included automatically for your convenience.

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For hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:

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1. Adding an item to a hash.\\r\\n

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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
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\"], \"csharp\": [\"C#\", \"

C# 10 with .NET 6 runtime

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Node.js 16.13.2.

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Your code is run with --harmony flag, enabling new ES6 features.

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lodash.js library is included by default.

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For Priority Queue / Queue data structures, you may use 5.3.0 version of datastructures-js/priority-queue and 4.2.1 version of datastructures-js/queue.

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Ruby 3.1

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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms

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Swift 5.5.2.

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Go 1.21

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Python 3.10.

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Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.

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For Map/TreeMap data structure, you may use sortedcontainers library.

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Scala 2.13.7.

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Kotlin 1.9.0.

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Rust 1.58.1

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Supports rand v0.6\\u00a0from crates.io

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PHP 8.1.

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With bcmath module

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TypeScript 5.1.6, Node.js 16.13.2.

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Run with Racket 8.3.

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Dart 2.17.3

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Your code will be run directly without compiling

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