{ "data": { "question": { "questionId": "381", "questionFrontendId": "381", "categoryTitle": "Algorithms", "boundTopicId": 1653, "title": "Insert Delete GetRandom O(1) - Duplicates allowed", "titleSlug": "insert-delete-getrandom-o1-duplicates-allowed", "content": "
RandomizedCollection
is a data structure that contains a collection of numbers, possibly duplicates (i.e., a multiset). It should support inserting and removing specific elements and also removing a random element.
Implement the RandomizedCollection
class:
RandomizedCollection()
Initializes the empty RandomizedCollection
object.bool insert(int val)
Inserts an item val
into the multiset, even if the item is already present. Returns true
if the item is not present, false
otherwise.bool remove(int val)
Removes an item val
from the multiset if present. Returns true
if the item is present, false
otherwise. Note that if val
has multiple occurrences in the multiset, we only remove one of them.int getRandom()
Returns a random element from the current multiset of elements. The probability of each element being returned is linearly related to the number of same values the multiset contains.You must implement the functions of the class such that each function works on average O(1)
time complexity.
Note: The test cases are generated such that getRandom
will only be called if there is at least one item in the RandomizedCollection
.
\n
Example 1:
\n\n\nInput\n["RandomizedCollection", "insert", "insert", "insert", "getRandom", "remove", "getRandom"]\n[[], [1], [1], [2], [], [1], []]\nOutput\n[null, true, false, true, 2, true, 1]\n\nExplanation\nRandomizedCollection randomizedCollection = new RandomizedCollection();\nrandomizedCollection.insert(1); // return true since the collection does not contain 1.\n // Inserts 1 into the collection.\nrandomizedCollection.insert(1); // return false since the collection contains 1.\n // Inserts another 1 into the collection. Collection now contains [1,1].\nrandomizedCollection.insert(2); // return true since the collection does not contain 2.\n // Inserts 2 into the collection. Collection now contains [1,1,2].\nrandomizedCollection.getRandom(); // getRandom should:\n // - return 1 with probability 2/3, or\n // - return 2 with probability 1/3.\nrandomizedCollection.remove(1); // return true since the collection contains 1.\n // Removes 1 from the collection. Collection now contains [1,2].\nrandomizedCollection.getRandom(); // getRandom should return 1 or 2, both equally likely.\n\n\n
\n
Constraints:
\n\n-231 <= val <= 231 - 1
2 * 105
calls in total will be made to insert
, remove
, and getRandom
.getRandom
is called.RandomizedCollection
是一种包含数字集合(可能是重复的)的数据结构。它应该支持插入和删除特定元素,以及删除随机元素。
实现 RandomizedCollection
类:
RandomizedCollection()
初始化空的 RandomizedCollection
对象。bool insert(int val)
将一个 val
项插入到集合中,即使该项已经存在。如果该项不存在,则返回 true
,否则返回 false
。bool remove(int val)
如果存在,从集合中移除一个 val
项。如果该项存在,则返回 true
,否则返回 false
。注意,如果 val
在集合中出现多次,我们只删除其中一个。int getRandom()
从当前的多个元素集合中返回一个随机元素。每个元素被返回的概率与集合中包含的相同值的数量 线性相关 。您必须实现类的函数,使每个函数的 平均 时间复杂度为 O(1)
。
注意:生成测试用例时,只有在 RandomizedCollection
中 至少有一项 时,才会调用 getRandom
。
\n\n
示例 1:
\n\n\n输入\n[\"RandomizedCollection\", \"insert\", \"insert\", \"insert\", \"getRandom\", \"remove\", \"getRandom\"]\n[[], [1], [1], [2], [], [1], []]\n输出\n[null, true, false, true, 2, true, 1]\n\n解释\nRandomizedCollection collection = new RandomizedCollection();// 初始化一个空的集合。\ncollection.insert(1);// 向集合中插入 1 。返回 true 表示集合不包含 1 。\ncollection.insert(1);// 向集合中插入另一个 1 。返回 false 表示集合包含 1 。集合现在包含 [1,1] 。\ncollection.insert(2);// 向集合中插入 2 ,返回 true 。集合现在包含 [1,1,2] 。\ncollection.getRandom();// getRandom 应当有 2/3 的概率返回 1 ,1/3 的概率返回 2 。\ncollection.remove(1);// 从集合中删除 1 ,返回 true 。集合现在包含 [1,2] 。\ncollection.getRandom();// getRandom 应有相同概率返回 1 和 2 。\n\n\n
\n\n
提示:
\n\n-231 <= val <= 231 - 1
insert
, remove
和 getRandom
最多 总共 被调用 2 * 105
次getRandom
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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\\u7528GNU99\\u6807\\u51c6\\u3002<\\/p>\\r\\n\\r\\n
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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
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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
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rust 1.58.1<\\/code><\\/p>\\r\\n\\r\\n
PHP 8.1<\\/code>.<\\/p>\\r\\n\\r\\n