Easy
You are given a 0-indexed circular string array words
and a string target
. A circular array means that the array’s end connects to the array’s beginning.
words[i]
is words[(i + 1) % n]
and the previous element of words[i]
is words[(i - 1 + n) % n]
, where n
is the length of words
.Starting from startIndex
, you can move to either the next word or the previous word with 1
step at a time.
Return the shortest distance needed to reach the string target
. If the string target
does not exist in words
, return -1
.
Example 1:
Input: words = [“hello”,”i”,”am”,”leetcode”,”hello”], target = “hello”, startIndex = 1
Output: 1
Explanation: We start from index 1 and can reach “hello” by
moving 3 units to the right to reach index 4.
moving 2 units to the left to reach index 4.
moving 4 units to the right to reach index 0.
moving 1 unit to the left to reach index 0. The shortest distance to reach “hello” is 1.
Example 2:
Input: words = [“a”,”b”,”leetcode”], target = “leetcode”, startIndex = 0
Output: 1
Explanation: We start from index 0 and can reach “leetcode” by
moving 2 units to the right to reach index 3.
moving 1 unit to the left to reach index 3.
The shortest distance to reach “leetcode” is 1.
Example 3:
Input: words = [“i”,”eat”,”leetcode”], target = “ate”, startIndex = 0
Output: -1
Explanation: Since “ate” does not exist in words
, we return -1.
Constraints:
1 <= words.length <= 100
1 <= words[i].length <= 100
words[i]
and target
consist of only lowercase English letters.0 <= startIndex < words.length
public class Solution {
public int closetTarget(String[] words, String target, int startIndex) {
int n = words.length;
if (words[startIndex].equals(target)) {
return 0;
}
int ld = -1;
int rd;
int ans = Integer.MAX_VALUE;
for (int i = (startIndex + 1) % n; i != startIndex; i = (i + 1) % n) {
if (words[i].equals(target)) {
ld = i > startIndex ? startIndex + (n - i) : startIndex - i;
rd = i > startIndex ? i - startIndex : n - startIndex + i;
ans = Math.min(ans, Math.min(ld, rd));
}
}
if (ld == -1) {
return -1;
}
return ans;
}
}