LeetCode 705: Design HashSet Solution
Master LeetCode problem 705 (Design HashSet), a easy challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
705. Design HashSet
Problem Explanation
Explanation:
To design a HashSet without using any built-in hash table libraries, we can implement a basic hash set using an array of booleans. We will use the key as the index in the array, and the value at that index will indicate whether the key exists in the set or not.
Algorithm:
- Initialize an array of booleans of size 10^6 + 1 to represent the HashSet.
- Implement the
add(key)method by setting the value at indexkeytotrue. - Implement the
contains(key)method by checking the value at indexkeyand returningtrueif it istrue,falseotherwise. - Implement the
remove(key)method by setting the value at indexkeytofalse.
Time Complexity:
- The time complexity for all operations (add, remove, contains) is O(1) on average.
Space Complexity:
- The space complexity is O(1) as we are using a fixed-size array.
:
Solution Code
class MyHashSet {
boolean[] set;
public MyHashSet() {
set = new boolean[1000001];
}
public void add(int key) {
set[key] = true;
}
public void remove(int key) {
set[key] = false;
}
public boolean contains(int key) {
return set[key];
}
}Try It Yourself
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