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Copy path705.design-hashset.java
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85 lines (78 loc) · 2.1 KB
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/*
* @lc app=leetcode id=705 lang=java
*
* [705] Design HashSet
*
* https://leetcode.com/problems/design-hashset/description/
*
* algorithms
* Easy (54.98%)
* Total Accepted: 40.3K
* Total Submissions: 68.8K
* Testcase Example: '["MyHashSet","add","add","contains","contains","add","contains","remove","contains"]\n[[],[1],[2],[1],[3],[2],[2],[2],[2]]'
*
* Design a HashSet without using any built-in hash table libraries.
*
* To be specific, your design should include these functions:
*
*
* add(value): Insert a value into the HashSet.
* contains(value) : Return whether the value exists in the HashSet or not.
* remove(value): Remove a value in the HashSet. If the value does not exist in
* the HashSet, do nothing.
*
*
*
* Example:
*
*
* MyHashSet hashSet = new MyHashSet();
* hashSet.add(1);
* hashSet.add(2);
* hashSet.contains(1); // returns true
* hashSet.contains(3); // returns false (not found)
* hashSet.add(2);
* hashSet.contains(2); // returns true
* hashSet.remove(2);
* hashSet.contains(2); // returns false (already removed)
*
*
*
* Note:
*
*
* All values will be in the range of [0, 1000000].
* The number of operations will be in the range of [1, 10000].
* Please do not use the built-in HashSet library.
*
*
*/
class MyHashSet {
List<Integer> values;
/** Initialize your data structure here. */
public MyHashSet() {
values = new ArrayList<>();
}
public void add(int key) {
for (int num : values) {
if (num == key) {
return;
}
}
values.add(key);
}
public void remove(int key) {
values.remove(new Integer(key));
}
/** Returns true if this set contains the specified element */
public boolean contains(int key) {
return values.contains(key);
}
}
/**
* Your MyHashSet object will be instantiated and called as such:
* MyHashSet obj = new MyHashSet();
* obj.add(key);
* obj.remove(key);
* boolean param_3 = obj.contains(key);
*/