Medium
There is a bookstore owner that has a store open for n
minutes. Every minute, some number of customers enter the store. You are given an integer array customers
of length n
where customers[i]
is the number of the customer that enters the store at the start of the ith
minute and all those customers leave after the end of that minute.
On some minutes, the bookstore owner is grumpy. You are given a binary array grumpy where grumpy[i]
is 1
if the bookstore owner is grumpy during the ith
minute, and is 0
otherwise.
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 minutes
consecutive minutes, 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], minutes = 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.
Example 2:
Input: customers = [1], grumpy = [0], minutes = 1
Output: 1
Constraints:
n == customers.length == grumpy.length
1 <= minutes <= n <= 2 * 104
0 <= customers[i] <= 1000
grumpy[i]
is either 0
or 1
.class Solution {
fun maxSatisfied(customers: IntArray, grumpy: IntArray, minutes: Int): Int {
// storing numbers of customers who faced grumpy owner till ith minute.
val grumpySum = IntArray(grumpy.size)
var ans = 0
if (grumpy[0] == 1) {
grumpySum[0] = customers[0]
} else {
ans += customers[0]
}
for (i in 1 until grumpy.size) {
if (grumpy[i] == 1) {
grumpySum[i] = grumpySum[i - 1] + customers[i]
} else {
grumpySum[i] = grumpySum[i - 1]
ans += customers[i]
}
}
// calculating max number of customers who faced grumpy owner in a window of size 'minutes'.
var max = 0
for (i in 0..customers.size - minutes) {
max = if (i == 0) {
max.coerceAtLeast(grumpySum[i + minutes - 1])
} else {
max.coerceAtLeast(grumpySum[i + minutes - 1] - grumpySum[i - 1])
}
}
// making the owner non-grumpy in that max window and adding the number of customers who do
// not face the grumpy customers.
ans += max
return ans
}
}