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16 changes: 16 additions & 0 deletions contains-duplicate/hyejjun.js
Original file line number Diff line number Diff line change
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/**
* @param {number[]} nums
* @return {boolean}
*/
var containsDuplicate = function (nums) {

const set = new Set(nums);

return nums.length !== set.size ? true : false;
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오 간결한 풀이네요!
매우 사소한 의견이지만, 삼항 연산자를 사용하지 않아도 될 것 같습니다!

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return nums.length !== set.size;

넵! 이해했습니다. 의견 감사합니다!


};


console.log(containsDuplicate([1, 2, 3, 1])); // true
console.log(containsDuplicate([1, 2, 3, 4])); // false
console.log(containsDuplicate([1, 1, 1, 3, 3, 4, 3, 2, 4, 2])); // true
20 changes: 20 additions & 0 deletions number-of-1-bits/hyejjun.js
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/**
* @param {number} n
* @return {number}
*/
var hammingWeight = function (n) {

let val = n.toString(2);

let res = 0;
[...val].forEach((val) => res += parseInt(val))
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@HC-kang HC-kang Aug 17, 2024

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안녕하세요 @hyejjun 님!
해당 코드에서는 사용자가 직접 toString(2)로 2진수로 변환한 안전한 문자열이므로 parseInt(val)�은 굳이 사용하지 않아도 좋을 것 같습니다!

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네! 피드백 감사합니다!


return res;

};

// O(LogN)

console.log(hammingWeight(11));
console.log(hammingWeight(128));
console.log(hammingWeight(2147483645));
32 changes: 32 additions & 0 deletions palindromic-substrings/hyejjun.js
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/**
* @param {string} s
* @return {number}
*/
var countSubstrings = function (s) {
let count = 0;

function checkPalindromic(left, right) {
while (left >= 0 && right < s.length && s[left] === s[right]) {
count++;
left--;
right++;
}

}

for (let i = 0; i < s.length; i++) {
checkPalindromic(i, i);
checkPalindromic(i, i + 1);
}

return count;
};

console.log(countSubstrings("abc"));
console.log(countSubstrings("aaa"));


/*
Time Complexity : O(n^2)
Space Complexity: O(1)
*/
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파일 마지막에 line break 추가 부탁드립니다!
사용하시는 에디터를 잘 모르지만, 에디터 설정에서 자동 적용 기능이 있는지 찾아보시면 좋을 것 같습니다!

25 changes: 25 additions & 0 deletions top-k-frequent-elements/hyejjun.js
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/**
* @param {number[]} nums
* @param {number} k
* @return {number[]}
*/
var topKFrequent = function (nums, k) {
const count = {};

nums.forEach((num) => {
count[num] = (count[num] || 0) + 1;
});

const filtered = Object.keys(count).sort((a, b) => count[b] - count[a]);

return filtered.slice(0, k).map(Number);

};

console.log(topKFrequent([1, 1, 1, 2, 2, 3], 2)); // [1, 2]
console.log(topKFrequent([1], 1)); // [1]

/*
Time Complexity : O(NLogN)
Space Complexity: O(N)
*/