Problem
You have a bomb to defuse, and your time is running out! Your informer will provide you with a circular array code
of length of n
and a key k
.
To decrypt the code, you must replace every number. All the numbers are replaced simultaneously.
- If
k > 0
, replace theith
number with the sum of the nextk
numbers. - If
k < 0
, replace theith
number with the sum of the previousk
numbers. - If
k == 0
, replace theith
number with0
.
As code
is circular, the next element of code[n-1]
is code[0]
, and the previous element of code[0]
is code[n-1]
.
Given the circular array code
and an integer key k
, return the decrypted code to defuse the bomb!
Examples
Example 1:
Input: code = [5,7,1,4], k = 3
Output: [12,10,16,13]
Explanation: Each number is replaced by the sum of the next 3 numbers. The decrypted code is [7+1+4, 1+4+5, 4+5+7, 5+7+1]. Notice that the numbers wrap around.
Example 2:
Input: code = [1,2,3,4], k = 0
Output: [0,0,0,0]
Explanation: When k is zero, the numbers are replaced by 0.
Example 3:
Input: code = [2,4,9,3], k = -2
Output: [12,5,6,13]
Explanation: The decrypted code is [3+9, 2+3, 4+2, 9+4]. Notice that the numbers wrap around again. If k is negative, the sum is of the **previous** numbers.
Solution
Method 1 - Using Sliding window
Code
Java
class Solution {
public int[] decrypt(int[] code, int k) {
int n = code.length;
int[] ans = new int[n];
if (k == 0) {
return ans;
}
if (k > 0) {
for (int i = 0; i < n; i++) {
int sum = 0;
for (int j = 1; j <= k; j++) {
sum += code[(i + j) % n];
}
ans[i] = sum;
}
} else { // k < 0
k = -k;
for (int i = 0; i < n; i++) {
int sum = 0;
for (int j = 1; j <= k; j++) {
sum += code[(i - j + n) % n];
}
ans[i] = sum;
}
}
return ans;
}
}
Python
class Solution:
def decrypt(self, code: List[int], k: int) -> List[int]:
n = len(code)
ans = [0] * n
if k == 0:
return ans
if k > 0:
for i in range(n):
ans[i] = sum(code[(i + j) % n] for j in range(1, k + 1))
else: # k < 0
for i in range(n):
ans[i] = sum(code[(i + j) % n] for j in range(k, 0))
return ans
Complexity
- ⏰ Time complexity:
O(n * |k|)
wheren
is the length of the array and|k|
is the absolute value ofk
. - 🧺 Space complexity:
O(n)
for the resultant arrayans
.