Weekly Contest 138

1051. Height Checker

Students are asked to stand in non-decreasing order of heights for an annual photo.

Return the minimum number of students not standing in the right positions.  (This is the number of students that must move in order for all students to be standing in non-decreasing order of height.)

 

Example 1:

Input: [1,1,4,2,1,3]
Output: 3
Explanation: 
Students with heights 4, 3 and the last 1 are not standing in the right positions.

 

Note:

1. 1 <= heights.length <= 100
2. 1 <= heights[i] <= 100

 

Approach #1: [Java]

class Solution {
    public int heightChecker(int[] heights) {
        int[] copy = new int[heights.length];
        for (int i = 0; i < heights.length; ++i) {
            copy[i] = heights[i];
        }
        Arrays.sort(heights);
        int ret = 0;
        for (int i = 0; i < heights.length; ++i) {
            if (copy[i] != heights[i])
                ret++;
        }
        
        return ret;
    }
}

　　

1052. Grumpy Bookstore Owner

Today, the bookstore owner has a store open for customers.length minutes.  Every minute, some number of customers (customers[i]) enter the store, and all those customers leave after the end of that minute.

On some minutes, the bookstore owner is grumpy.  If the bookstore owner is grumpy on the i-th minute, grumpy[i] = 1, otherwise grumpy[i] = 0.  When the bookstore owner is grumpy, the customers of that minute are not satisfied, otherwise they are satisfied.

The bookstore owner knows a secret technique to keep themselves not grumpy for X minutes straight, but can only use it once.

Return the maximum number of customers that can be satisfied throughout the day.

 

Example 1:

Input: customers = [1,0,1,2,1,1,7,5], grumpy = [0,1,0,1,0,1,0,1], X = 3
Output: 16
Explanation: The bookstore owner keeps themselves not grumpy for the last 3 minutes. 
The maximum number of customers that can be satisfied = 1 + 1 + 1 + 1 + 7 + 5 = 16.

 

Note:

• 1 <= X <= customers.length == grumpy.length <= 20000
• 0 <= customers[i] <= 1000
• 0 <= grumpy[i] <= 1

 

Approach #1: [Java]

class Solution {
    public int maxSatisfied(int[] customers, int[] grumpy, int X) {
        int s = 0, e = 0;
        int getFromX = 0;
        int res = 0;
        for (int i = 0; i <= grumpy.length - X; ++i) {
            int temp = 0;
            for (int j = i; j < i + X; ++j) {
                if (grumpy[j] == 1) {
                    temp += customers[j];
                }
            }
            if (temp > getFromX) {
                getFromX = temp;
                s = i;
                e = i + X;
            }
        }
        
        for (int i = 0; i < s; ++i) {
            if (grumpy[i] == 0)
                res += customers[i];
        }
        for (int i = s; i < e; ++i) {
            res += customers[i];
        }
        for (int i = e; i < grumpy.length; ++i) {
            if (grumpy[i] == 0)
                res += customers[i];
        }
        
        return res;
    }
}

　　

1053. Previous Permutation With One Swap

Given an array A of positive integers (not necessarily distinct), return the lexicographically largest permutation that is smaller than A, that can be made with one swap (A swap exchanges the positions of two numbers A[i] and A[j]).  If it cannot be done, then return the same array.

 

Example 1:

Input: [3,2,1]
Output: [3,1,2]
Explanation: Swapping 2 and 1.

Example 2:

Input: [1,1,5]
Output: [1,1,5]
Explanation: This is already the smallest permutation.

Example 3:

Input: [1,9,4,6,7]
Output: [1,7,4,6,9]
Explanation: Swapping 9 and 7.

Example 4:

Input: [3,1,1,3]
Output: [1,3,1,3]
Explanation: Swapping 1 and 3.

 

Note:

1. 1 <= A.length <= 10000
2. 1 <= A[i] <= 10000

 

Approach #1: [Java]

class Solution {
    public int[] prevPermOpt1(int[] A) {
        int len = A.length;
        int left = len - 2, right = len - 1, tmp;
        while (left >= 0 && A[left] <= A[left+1]) left--;
        if (left < 0) return A;
        while (A[left] <= A[right]) right--;
        while (A[right-1] == A[right]) right--;
        tmp = A[left];
        A[left] = A[right];
        A[right] = tmp;
        return A;
    }
}

　　

1054. Distant Barcodes

In a warehouse, there is a row of barcodes, where the i-th barcode is barcodes[i].

Rearrange the barcodes so that no two adjacent barcodes are equal.  You may return any answer, and it is guaranteed an answer exists.

 

Example 1:

Input: [1,1,1,2,2,2]
Output: [2,1,2,1,2,1]

Example 2:

Input: [1,1,1,1,2,2,3,3]
Output: [1,3,1,3,2,1,2,1]

 

Note:

1. 1 <= barcodes.length <= 10000
2. 1 <= barcodes[i] <= 10000

 

Approach #1: PriorityQueue [Java]

class Solution {
    public int[] rearrangeBarcodes(int[] barcodes) {
        Map<Integer, Integer> memo = new HashMap<>();
        for (int i : barcodes) {
            memo.put(i, memo.getOrDefault(i, 0) + 1);
        }
        Queue<Integer> pq = new PriorityQueue<>((a, b)->(memo.get(b) - memo.get(a)));
        for (int i : memo.keySet()) {
            pq.add(i);
        }
        int[] ans = new int[barcodes.length];
        int k = 0;
        int count = 0;
        Queue<Integer> wait = new LinkedList<>();
        while (!pq.isEmpty()) {
            while (!pq.isEmpty() && count < 2) {
                int first = pq.poll();
                ans[k++] = first;
                memo.put(first, memo.get(first) - 1);
                wait.add(first);
                count++;
            }
            while (!wait.isEmpty() && wait.size() != 1) {
                if (memo.get(wait.peek()) > 0) {
                    pq.add(wait.poll());
                } else {
                    wait.poll();
                }
            }
            count = 0;
        }
        return ans;
    }
}

　　

Reference:

https://docs.oracle.com/javase/9/docs/api/java/util/PriorityQueue.html

https://blog.csdn.net/top_code/article/details/8650729