{ "data": { "question": { "questionId": "816", "questionFrontendId": "705", "categoryTitle": "Algorithms", "boundTopicId": 1155, "title": "Design HashSet", "titleSlug": "design-hashset", "content": "
Design a HashSet without using any built-in hash table libraries.
\n\nImplement MyHashSet
class:
void add(key)
Inserts the value key
into the HashSet.bool contains(key)
Returns whether the value key
exists in the HashSet or not.void remove(key)
Removes the value key
in the HashSet. If key
does not exist in the HashSet, do nothing.\n
Example 1:
\n\n\nInput\n["MyHashSet", "add", "add", "contains", "contains", "add", "contains", "remove", "contains"]\n[[], [1], [2], [1], [3], [2], [2], [2], [2]]\nOutput\n[null, null, null, true, false, null, true, null, false]\n\nExplanation\nMyHashSet myHashSet = new MyHashSet();\nmyHashSet.add(1); // set = [1]\nmyHashSet.add(2); // set = [1, 2]\nmyHashSet.contains(1); // return True\nmyHashSet.contains(3); // return False, (not found)\nmyHashSet.add(2); // set = [1, 2]\nmyHashSet.contains(2); // return True\nmyHashSet.remove(2); // set = [1]\nmyHashSet.contains(2); // return False, (already removed)\n\n
\n
Constraints:
\n\n0 <= key <= 106
104
calls will be made to add
, remove
, and contains
.不使用任何内建的哈希表库设计一个哈希集合(HashSet)。
\n\n实现 MyHashSet
类:
void add(key)
向哈希集合中插入值 key
。bool contains(key)
返回哈希集合中是否存在这个值 key
。void remove(key)
将给定值 key
从哈希集合中删除。如果哈希集合中没有这个值,什么也不做。示例:
\n\n\n输入:\n[\"MyHashSet\", \"add\", \"add\", \"contains\", \"contains\", \"add\", \"contains\", \"remove\", \"contains\"]\n[[], [1], [2], [1], [3], [2], [2], [2], [2]]\n输出:\n[null, null, null, true, false, null, true, null, false]\n\n解释:\nMyHashSet myHashSet = new MyHashSet();\nmyHashSet.add(1); // set = [1]\nmyHashSet.add(2); // set = [1, 2]\nmyHashSet.contains(1); // 返回 True\nmyHashSet.contains(3); // 返回 False ,(未找到)\nmyHashSet.add(2); // set = [1, 2]\nmyHashSet.contains(2); // 返回 True\nmyHashSet.remove(2); // set = [1]\nmyHashSet.contains(2); // 返回 False ,(已移除)\n\n
\n\n
提示:
\n\n0 <= key <= 106
104
次 add
、remove
和 contains
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-O2<\\/code>\\u7ea7\\u4f18\\u5316\\u3002AddressSanitizer<\\/a> \\u4e5f\\u88ab\\u5f00\\u542f\\u6765\\u68c0\\u6d4b
out-of-bounds<\\/code>\\u548c
use-after-free<\\/code>\\u9519\\u8bef\\u3002<\\/p>\\r\\n\\r\\n
OpenJDK 17<\\/code>\\u3002\\u53ef\\u4ee5\\u4f7f\\u7528Java 8\\u7684\\u7279\\u6027\\u4f8b\\u5982\\uff0clambda expressions \\u548c stream API\\u3002<\\/p>\\r\\n\\r\\n
Python 2.7.12<\\/code><\\/p>\\r\\n\\r\\n
GCC 8.2<\\/code>\\uff0c\\u91c7\\u7528GNU11\\u6807\\u51c6\\u3002<\\/p>\\r\\n\\r\\n
-O1<\\/code>\\u7ea7\\u4f18\\u5316\\u3002 AddressSanitizer<\\/a>\\u4e5f\\u88ab\\u5f00\\u542f\\u6765\\u68c0\\u6d4b
out-of-bounds<\\/code>\\u548c
use-after-free<\\/code>\\u9519\\u8bef\\u3002<\\/p>\\r\\n\\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<\\/pre>\\r\\n<\\/p>\\r\\n\\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<\\/pre>\\r\\n<\\/p>\\r\\n\\r\\n
\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n<\\/pre>\\r\\n<\\/p>\"],\"csharp\":[\"C#\",\"
Node.js 16.13.2<\\/code><\\/p>\\r\\n\\r\\n
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Ruby 3.1<\\/code>\\u6267\\u884c<\\/p>\\r\\n\\r\\n
Swift 5.5.2<\\/code><\\/p>\\r\\n\\r\\n
Go 1.21<\\/code><\\/p>\\r\\n\\r\\n
Python 3.10<\\/code><\\/p>\\r\\n\\r\\n
Scala 2.13<\\/code><\\/p>\"],\"kotlin\":[\"Kotlin\",\"
Kotlin 1.9.0<\\/code><\\/p>\\r\\n\\r\\n
rust 1.58.1<\\/code><\\/p>\\r\\n\\r\\n
PHP 8.1<\\/code>.<\\/p>\\r\\n\\r\\n