comments | difficulty | edit_url | rating | source | tags | ||
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true |
Medium |
1494 |
Biweekly Contest 92 Q3 |
|
You are given the customer visit log of a shop represented by a 0-indexed string customers
consisting only of characters 'N'
and 'Y'
:
- if the
ith
character is'Y'
, it means that customers come at theith
hour - whereas
'N'
indicates that no customers come at theith
hour.
If the shop closes at the jth
hour (0 <= j <= n
), the penalty is calculated as follows:
- For every hour when the shop is open and no customers come, the penalty increases by
1
. - For every hour when the shop is closed and customers come, the penalty increases by
1
.
Return the earliest hour at which the shop must be closed to incur a minimum penalty.
Note that if a shop closes at the jth
hour, it means the shop is closed at the hour j
.
Example 1:
Input: customers = "YYNY" Output: 2 Explanation: - Closing the shop at the 0th hour incurs in 1+1+0+1 = 3 penalty. - Closing the shop at the 1st hour incurs in 0+1+0+1 = 2 penalty. - Closing the shop at the 2nd hour incurs in 0+0+0+1 = 1 penalty. - Closing the shop at the 3rd hour incurs in 0+0+1+1 = 2 penalty. - Closing the shop at the 4th hour incurs in 0+0+1+0 = 1 penalty. Closing the shop at 2nd or 4th hour gives a minimum penalty. Since 2 is earlier, the optimal closing time is 2.
Example 2:
Input: customers = "NNNNN" Output: 0 Explanation: It is best to close the shop at the 0th hour as no customers arrive.
Example 3:
Input: customers = "YYYY" Output: 4 Explanation: It is best to close the shop at the 4th hour as customers arrive at each hour.
Constraints:
1 <= customers.length <= 105
customers
consists only of characters'Y'
and'N'
.
First, we calculate how many customers arrive in the first
Then we enumerate the closing time
The time complexity is
class Solution:
def bestClosingTime(self, customers: str) -> int:
n = len(customers)
s = [0] * (n + 1)
for i, c in enumerate(customers):
s[i + 1] = s[i] + int(c == 'Y')
ans, cost = 0, inf
for j in range(n + 1):
t = j - s[j] + s[-1] - s[j]
if cost > t:
ans, cost = j, t
return ans
class Solution {
public int bestClosingTime(String customers) {
int n = customers.length();
int[] s = new int[n + 1];
for (int i = 0; i < n; ++i) {
s[i + 1] = s[i] + (customers.charAt(i) == 'Y' ? 1 : 0);
}
int ans = 0, cost = 1 << 30;
for (int j = 0; j <= n; ++j) {
int t = j - s[j] + s[n] - s[j];
if (cost > t) {
ans = j;
cost = t;
}
}
return ans;
}
}
class Solution {
public:
int bestClosingTime(string customers) {
int n = customers.size();
vector<int> s(n + 1);
for (int i = 0; i < n; ++i) {
s[i + 1] = s[i] + (customers[i] == 'Y');
}
int ans = 0, cost = 1 << 30;
for (int j = 0; j <= n; ++j) {
int t = j - s[j] + s[n] - s[j];
if (cost > t) {
ans = j;
cost = t;
}
}
return ans;
}
};
func bestClosingTime(customers string) (ans int) {
n := len(customers)
s := make([]int, n+1)
for i, c := range customers {
s[i+1] = s[i]
if c == 'Y' {
s[i+1]++
}
}
cost := 1 << 30
for j := 0; j <= n; j++ {
t := j - s[j] + s[n] - s[j]
if cost > t {
ans, cost = j, t
}
}
return
}
impl Solution {
#[allow(dead_code)]
pub fn best_closing_time(customers: String) -> i32 {
let n = customers.len();
let mut penalty = i32::MAX;
let mut ret = -1;
let mut prefix_sum = vec![0; n + 1];
// Initialize the vector
for (i, c) in customers.chars().enumerate() {
prefix_sum[i + 1] = prefix_sum[i] + (if c == 'Y' { 1 } else { 0 });
}
// Calculate the answer
for i in 0..=n {
if penalty > ((prefix_sum[n] - prefix_sum[i]) as i32) + ((i - prefix_sum[i]) as i32) {
penalty = ((prefix_sum[n] - prefix_sum[i]) as i32) + ((i - prefix_sum[i]) as i32);
ret = i as i32;
}
}
ret
}
}