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Daily Coding Challenge #46

wingkwong profile image Wing-Kam ・4 min read

Daily Coding Challenge (88 Part Series)

1) Daily Coding Challenge #1 2) Daily Coding Challenge #2 3 ... 86 3) Daily Coding Challenge #3 4) Daily Coding Challenge #4 5) Daily Coding Challenge #5 6) Daily Coding Challenge #6 7) Daily Coding Challenge #7 8) Daily Coding Challenge #8 9) Daily Coding Challenge #9 10) Daily Coding Challenge #10 11) Daily Coding Challenge #11 12) Daily Coding Challenge #12 13) Daily Coding Challenge #13 14) Daily Coding Challenge #14 15) Daily Coding Challenge #15 16) Daily Coding Challenge #16 17) Daily Coding Challenge #17 18) Daily Coding Challenge #18 19) Daily Coding Challenge #19 20) Daily Coding Challenge #20 21) Daily Coding Challenge #21 22) Daily Coding Challenge #22 23) Daily Coding Challenge #23 24) Daily Coding Challenge #24 25) Daily Coding Challenge #25 26) Daily Coding Challenge #26 27) Daily Coding Challenge #27 28) Daily Coding Challenge #28 29) Daily Coding Challenge #29 30) Daily Coding Challenge #30 31) Daily Coding Challenge #31 32) Daily Coding Challenge #32 33) Daily Coding Challenge #33 34) Daily Coding Challenge #34 35) Daily Coding Challenge #35 36) Daily Coding Challenge #36 37) Daily Coding Challenge #37 38) Daily Coding Challenge #38 39) Daily Coding Challenge #39 40) Daily Coding Challenge #40 41) Daily Coding Challenge #41 42) Daily Coding Challenge #42 43) Daily Coding Challenge #43 44) Daily Coding Challenge #44 45) Daily Coding Challenge #45 46) Daily Coding Challenge #46 47) Daily Coding Challenge #47 48) Daily Coding Challenge #48 49) Daily Coding Challenge #49 50) Daily Coding Challenge #50 51) Daily Coding Challenge #51 52) Daily Coding Challenge #52 53) Daily Coding Challenge #53 54) Daily Coding Challenge #54 55) Daily Coding Challenge #55 56) Daily Coding Challenge #56 57) Daily Coding Challenge #57 58) Daily Coding Challenge #58 59) Daily Coding Challenge #59 60) Daily Coding Challenge #60 61) Daily Coding Challenge #61 62) Daily Coding Challenge #62 63) Daily Coding Challenge #63 64) Daily Coding Challenge #64 65) Daily Coding Challenge #65 66) Daily Coding Challenge #66 67) Daily Coding Challenge #67 68) Daily Coding Challenge #68 69) Daily Coding Challenge #69 70) Daily Coding Challenge #70 71) Daily Coding Challenge #71 72) Daily Coding Challenge #72 73) Daily Coding Challenge #73 74) Daily Coding Challenge #74 75) Daily Coding Challenge #75 76) Daily Coding Challenge #76 77) Daily Coding Challenge #77 78) Daily Coding Challenge #78 79) Daily Coding Challenge #79 80) Daily Coding Challenge #80 81) Daily Coding Challenge #81 82) Daily Coding Challenge #82 83) Daily Coding Challenge #83 84) Daily Coding Challenge #84 85) Daily Coding Challenge #85 86) Daily Coding Challenge #86 87) Daily Coding Challenge #87 88) Daily Coding Challenge #88

About

This is a series of Daily Coding Challenge. Each day I show a few solutions written in C++. The questions are from coding practice/contest sites such as HackerRank, LeetCode, Codeforces, Atcoder and etc.


/*
LeetCode - Average Salary Excluding the Minimum and Maximum Salary

Given an array of unique integers salary where salary[i] is the salary of the employee i.

Return the average salary of employees excluding the minimum and maximum salary.

Example 1:

Input: salary = [4000,3000,1000,2000]
Output: 2500.00000
Explanation: Minimum salary and maximum salary are 1000 and 4000 respectively.
Average salary excluding minimum and maximum salary is (2000+3000)/2= 2500
Example 2:

Input: salary = [1000,2000,3000]
Output: 2000.00000
Explanation: Minimum salary and maximum salary are 1000 and 3000 respectively.
Average salary excluding minimum and maximum salary is (2000)/1= 2000
Example 3:

Input: salary = [6000,5000,4000,3000,2000,1000]
Output: 3500.00000
Example 4:

Input: salary = [8000,9000,2000,3000,6000,1000]
Output: 4750.00000


Constraints:

3 <= salary.length <= 100
10^3 <= salary[i] <= 10^6
salary[i] is unique.
Answers within 10^-5 of the actual value will be accepted as correct.
*/

class Solution {
public:
    double average(vector<int>& salary) {
        int i=0, ans=0, mx=0, mn=1e9, n=(int)salary.size();
        for(int i=0;i<n;i++){
            // find the min, max, and total value
            mx=max(mx,salary[i]);
            mn=min(mn,salary[i]);
            ans+=salary[i];
        }
        // find the avg excluding min & max value
        return (double)(ans-mn-mx)/(n-2);
    }
};

/*
LeetCode - The kth Factor of n

Given two positive integers n and k.

A factor of an integer n is defined as an integer i where n % i == 0.

Consider a list of all factors of n sorted in ascending order, return the kth factor in this list or return -1 if n has less than k factors.

Example 1:

Input: n = 12, k = 3
Output: 3
Explanation: Factors list is [1, 2, 3, 4, 6, 12], the 3rd factor is 3.
Example 2:

Input: n = 7, k = 2
Output: 7
Explanation: Factors list is [1, 7], the 2nd factor is 7.
Example 3:

Input: n = 4, k = 4
Output: -1
Explanation: Factors list is [1, 2, 4], there is only 3 factors. We should return -1.
Example 4:

Input: n = 1, k = 1
Output: 1
Explanation: Factors list is [1], the 1st factor is 1.
Example 5:

Input: n = 1000, k = 3
Output: 4
Explanation: Factors list is [1, 2, 4, 5, 8, 10, 20, 25, 40, 50, 100, 125, 200, 250, 500, 1000].


Constraints:

1 <= k <= n <= 1000
*/

class Solution {
public:
    int kthFactor(int n, int k) {
    // since the constraints are quite low so this solution would work
        for(int i=1;i<=n/2;i++){
            if(n%i==0){
                // found a factor 
                k--;
                // found the k-th one
                if(k==0) return i;
            }
        }
        // if k is 1, the last divisor is n itself
        return k==1?n:-1;
    }
};

/*
LeetCode - Longest Subarray of 1's After Deleting One Element

Given a binary array nums, you should delete one element from it.

Return the size of the longest non-empty subarray containing only 1's in the resulting array.

Return 0 if there is no such subarray.

Example 1:

Input: nums = [1,1,0,1]
Output: 3
Explanation: After deleting the number in position 2, [1,1,1] contains 3 numbers with value of 1's.
Example 2:

Input: nums = [0,1,1,1,0,1,1,0,1]
Output: 5
Explanation: After deleting the number in position 4, [0,1,1,1,1,1,0,1] longest subarray with value of 1's is [1,1,1,1,1].
Example 3:

Input: nums = [1,1,1]
Output: 2
Explanation: You must delete one element.
Example 4:

Input: nums = [1,1,0,0,1,1,1,0,1]
Output: 4
Example 5:

Input: nums = [0,0,0]
Output: 0


Constraints:

1 <= nums.length <= 10^5
nums[i] is either 0 or 1.
*/

class Solution {
public:
    int longestSubarray(vector<int>& arr) {
        // approach: 
        // count contiguous 1s before every index from the left & right side
        // find the max of the sum of l[i] & r[i] 
        int n=arr.size();
        int l[n],r[n]; 
        int one=0,res=0; 
        for (int i=0; i<n; i++){ 
            l[i]=one; 
            if (arr[i]==1) one++; 
            else one = 0; 
        } 
        one = 0; 
        for (int i=n-1; i>=0; i--) { 
            r[i] = one; 
            if (arr[i]==1) one++; 
            else one = 0; 
        } 
        for (int i=0;i<n;i++)  
            res = max(res,l[i]+r[i]);

        return res; 
    }
};

//     0 1 1 1 0 1 1 0 1
// l   0 0 1 2 3 0 1 2 0 
// r   3 2 1 0 2 1 0 1 0 
// --------------------------
//     3 3 3 3 5 2 2 3 1

The source code is available in corresponding repo below. Star and watch for timely updates!

GitHub logo wingkwong / leetcode

🏆 A Collection of my LeetCode Solutions with Explanations 🏆

GitHub logo wingkwong / hackerrank

🏆 A Collection of my HackerRank Solutions with Explanations 🏆

GitHub logo wingkwong / codeforces

🏆 A Collection of my Codeforces Solutions with Explanations 🏆

GitHub logo wingkwong / atcoder

🏆 A Collection of my AtCoder Solutions with Explanations 🏆

Daily Coding Challenge (88 Part Series)

1) Daily Coding Challenge #1 2) Daily Coding Challenge #2 3 ... 86 3) Daily Coding Challenge #3 4) Daily Coding Challenge #4 5) Daily Coding Challenge #5 6) Daily Coding Challenge #6 7) Daily Coding Challenge #7 8) Daily Coding Challenge #8 9) Daily Coding Challenge #9 10) Daily Coding Challenge #10 11) Daily Coding Challenge #11 12) Daily Coding Challenge #12 13) Daily Coding Challenge #13 14) Daily Coding Challenge #14 15) Daily Coding Challenge #15 16) Daily Coding Challenge #16 17) Daily Coding Challenge #17 18) Daily Coding Challenge #18 19) Daily Coding Challenge #19 20) Daily Coding Challenge #20 21) Daily Coding Challenge #21 22) Daily Coding Challenge #22 23) Daily Coding Challenge #23 24) Daily Coding Challenge #24 25) Daily Coding Challenge #25 26) Daily Coding Challenge #26 27) Daily Coding Challenge #27 28) Daily Coding Challenge #28 29) Daily Coding Challenge #29 30) Daily Coding Challenge #30 31) Daily Coding Challenge #31 32) Daily Coding Challenge #32 33) Daily Coding Challenge #33 34) Daily Coding Challenge #34 35) Daily Coding Challenge #35 36) Daily Coding Challenge #36 37) Daily Coding Challenge #37 38) Daily Coding Challenge #38 39) Daily Coding Challenge #39 40) Daily Coding Challenge #40 41) Daily Coding Challenge #41 42) Daily Coding Challenge #42 43) Daily Coding Challenge #43 44) Daily Coding Challenge #44 45) Daily Coding Challenge #45 46) Daily Coding Challenge #46 47) Daily Coding Challenge #47 48) Daily Coding Challenge #48 49) Daily Coding Challenge #49 50) Daily Coding Challenge #50 51) Daily Coding Challenge #51 52) Daily Coding Challenge #52 53) Daily Coding Challenge #53 54) Daily Coding Challenge #54 55) Daily Coding Challenge #55 56) Daily Coding Challenge #56 57) Daily Coding Challenge #57 58) Daily Coding Challenge #58 59) Daily Coding Challenge #59 60) Daily Coding Challenge #60 61) Daily Coding Challenge #61 62) Daily Coding Challenge #62 63) Daily Coding Challenge #63 64) Daily Coding Challenge #64 65) Daily Coding Challenge #65 66) Daily Coding Challenge #66 67) Daily Coding Challenge #67 68) Daily Coding Challenge #68 69) Daily Coding Challenge #69 70) Daily Coding Challenge #70 71) Daily Coding Challenge #71 72) Daily Coding Challenge #72 73) Daily Coding Challenge #73 74) Daily Coding Challenge #74 75) Daily Coding Challenge #75 76) Daily Coding Challenge #76 77) Daily Coding Challenge #77 78) Daily Coding Challenge #78 79) Daily Coding Challenge #79 80) Daily Coding Challenge #80 81) Daily Coding Challenge #81 82) Daily Coding Challenge #82 83) Daily Coding Challenge #83 84) Daily Coding Challenge #84 85) Daily Coding Challenge #85 86) Daily Coding Challenge #86 87) Daily Coding Challenge #87 88) Daily Coding Challenge #88

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Wing-Kam

@wingkwong

Consultant by day. Developer by night. AWS certified. Exploring #CloudNative currently.

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