Skip to main content

MAY-27 2020 Challenge

Possible Bipartition


Given a set of N people (numbered 1, 2, ..., N), we would like to split everyone into two groups of any size.

Each person may dislike some other people, and they should not go into the same group.

Formally, if dislikes[i] = [a, b], it means it is not allowed to put the people numbered a and b into the same group.

Return true if and only if it is possible to split everyone into two groups in this way.

 Example 1:
Input: N = 4, dislikes = [[1,2],[1,3],[2,4]]
Output: true
Explanation: group1 [1,4], group2 [2,3]
Example 2:
Input: N = 3, dislikes = [[1,2],[1,3],[2,3]]
Output: false
Example 3:
Input: N = 5, dislikes = [[1,2],[2,3],[3,4],[4,5],[1,5]]
Output: false

Note:
  1. 1 <= N <= 2000
  2. 0 <= dislikes.length <= 10000
  3. 1 <= dislikes[i][j] <= N
  4. dislikes[i][0] < dislikes[i][1]
  5. There does not exist i != j for which dislikes[i] == dislikes[j].


Solution in C++:

class Solution {
public:
    bool possibleBipartition(int N, vector<vector<int>>& dislikes) {
      g_ = vector<vector<int>>(N);
      for (const auto& d : dislikes) {
        g_[d[0] - 1].push_back(d[1] - 1);
        g_[d[1] - 1].push_back(d[0] - 1);
      }
      colors_ = vector<int>(N, 0);  // 0: unknown, 1: red, -1: blue
      for (int i = 0; i < N; ++i)
        if (colors_[i] == 0 && !dfs(i, 1)) return false;
      return true;      
    }
private:
  vector<vector<int>> g_;
  vector<int> colors_;
  bool dfs(int cur, int color) {
    colors_[cur] = color;
    for (int nxt : g_[cur]) {
      if (colors_[nxt] == color) return false;      
      if (colors_[nxt] == 0 && !dfs(nxt, -color)) return false;
    }
    return true;
  }
};
  

MAY-27 2020 Challenge
  

Comments

Popular posts from this blog

Leetcode 371. Sum of Two Integers. C++ / Java

371 .  Sum of Two Integers   Given two integers  a  and  b , return  the sum of the two integers without using the operators   +   and   - .   Example 1: Input: a = 1, b = 2 Output: 3 Example 2: Input: a = 2, b = 3 Output: 5   Constraints: -1000 <= a, b <= 1000 Solution :  C++ : class Solution { public: int getSum(int a, int b) { if (b==0) return a; int sum = a ^ b; int cr = (unsigned int) (a & b) << 1; return getSum(sum, cr); } }; Java :  class Solution { public int getSum(int a, int b) { while(b != 0){ int tmp = (a & b) << 1; a = a ^ b; b = tmp; } return a; } } Explaination :

Leetcode 338. Counting Bits. Python (Bubble Sort)

Given an integer  n , return  an array  ans  of length  n + 1  such that for each  i   ( 0 <= i <= n ) ,  ans[i]  is the  number of  1 's  in the binary representation of  i .   Example 1: Input: n = 2 Output: [0,1,1] Explanation: 0 --> 0 1 --> 1 2 --> 10 Example 2: Input: n = 5 Output: [0,1,1,2,1,2] Explanation: 0 --> 0 1 --> 1 2 --> 10 3 --> 11 4 --> 100 5 --> 101   Constraints: 0 <= n <= 10 5   Follow up: It is very easy to come up with a solution with a runtime of  O(n log n) . Can you do it in linear time  O(n)  and possibly in a single pass? Can you do it without using any built-in function (i.e., like  __builtin_popcount  in C++)?   Solution : class Solution:     def countBits(self, n: int) -> List[int]:         dp = [0] * (n+1)         c = 1        ...

Leetcode 347. Top K Frequent Elements. Python (Bubble Sort)

Top K Frequent Elements Given an integer array  nums  and an integer  k , return  the   k   most frequent elements . You may return the answer in  any order .   Example 1: Input: nums = [1,1,1,2,2,3], k = 2 Output: [1,2] Example 2: Input: nums = [1], k = 1 Output: [1]   Constraints: 1 <= nums.length <= 10 5 -10 4  <= nums[i] <= 10 4 k  is in the range  [1, the number of unique elements in the array] . It is  guaranteed  that the answer is  unique .   Follow up:  Your algorithm's time complexity must be better than  O(n log n) , where n is the array's size. Solution : class Solution:     def topKFrequent(self, n: List[int], k: int) -> List[int]:                  # [1,1,1,2,2,3] &  k = 2                  f = [[] for i in range(len(n) + 1)]         # f = [...