Problem
Given two strings s and t, your goal is to convert s into t in k moves or less.
During the ith (1 <= i <= k) move you can:
Choose any index
j(1-indexed) froms, such that1 <= j <= s.lengthandjhas not been chosen in any previous move, and shift the character at that indexitimes.Do nothing.
Shifting a character means replacing it by the next letter in the alphabet (wrapping around so that 'z' becomes 'a'). Shifting a character by i means applying the shift operations i times.
Remember that any index j can be picked at most once.
Return true if it's possible to convert s into t in no more than k moves, otherwise return false.
Example 1:
Input: s = "input", t = "ouput", k = 9
Output: true
Explanation: In the 6th move, we shift 'i' 6 times to get 'o'. And in the 7th move we shift 'n' to get 'u'.
Example 2:
Input: s = "abc", t = "bcd", k = 10
Output: false
Explanation: We need to shift each character in s one time to convert it into t. We can shift 'a' to 'b' during the 1st move. However, there is no way to shift the other characters in the remaining moves to obtain t from s.
Example 3:
Input: s = "aab", t = "bbb", k = 27
Output: true
Explanation: In the 1st move, we shift the first 'a' 1 time to get 'b'. In the 27th move, we shift the second 'a' 27 times to get 'b'.
Constraints:
1 <= s.length, t.length <= 10^50 <= k <= 10^9s,tcontain only lowercase English letters.
Solution (Java)
class Solution {
public boolean canConvertString(String s, String t, int k) {
int len1 = s.length();
int len2 = t.length();
if (len1 != len2) {
return false;
}
if (s.equals(t)) {
return true;
}
int[] freq = new int[26];
int multiple = k / 26;
for (int i = 0; i < 26; i++) {
freq[i] = multiple;
}
int rem = k % 26;
for (int i = 1; i <= rem; i++) {
freq[i]++;
}
int movesRemaining = k;
for (int i = 0; i < len1; i++) {
char ch1 = s.charAt(i);
char ch2 = t.charAt(i);
if (ch1 == ch2) {
movesRemaining--;
continue;
}
int diff = (ch2 - ch1 + 26) % 26;
if (freq[diff] > 0) {
freq[diff]--;
movesRemaining--;
} else {
return false;
}
}
return movesRemaining >= 0;
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).