In a string S of lowercase letters, these letters form consecutive groups of the same character.
For example, a string like S = “abbxxxxzyy” has the groups “a”, “bb”, “xxxx”, “z” and “yy”.
Call a group large if it has 3 or more characters. We would like the starting and ending positions of every large group.
The final answer should be in lexicographic order.
Example 1:
Input: “abbxxxxzzy”
Output: [[3,6]]
Explanation: “xxxx” is the single large group with starting 3 and ending positions 6.Example 2:
Input: “abc”
Output: []
Explanation: We have “a”,”b” and “c” but no large group.Example 3:
Input: “abcdddeeeeaabbbcd”
Output: [[3,5],[6,9],[12,14]]Note: 1 <= S.length <= 1000
Two Pointer Algorithm using Java
This problem is similar to the run-length compression coding, which we need to find the continuous group of characters. We use two pointers, i and j, where i is the beginning of the group and j is the end of the group until we reach the end of the string.
The following Java implementation uses Arrays.asList to convert a Integer array to a List of Integer.
The complexity is O(N) in both space and time. The first pointer i will jump to the end of the group i.e. second pointer j at the end of each group.
class Solution {
public List<List<Integer>> largeGroupPositions(String S) {
List<List<Integer>> res = new ArrayList();
int i = 0, len = S.length();
while (i < len) {
int j = i + 1;
while (j < len && S.charAt(j) == S.charAt(i)) {
j ++; // until the group ends
}
if (j - i + 1 > 3) {
res.add( Arrays.asList(new Integer[]{i, j - 1}) );
}
i = j;
}
return res;
}
}
Two Pointer Algorithm using C++
C++ implementation will be slightly more concise as we can directly use {} to denote a vector.
class Solution {
public:
vector<vector<int>> largeGroupPositions(string S) {
vector<vector<int>> res;
int i = 0, len = S.size();
while (i < len) {
int j = i + 1;
while (j < len && S[j] == S[i]) {
j ++; // find end of the group
}
if (j - i + 1 > 3) {
res.push_back( {i, j - 1} );
}
i = j;
}
return res;
}
};
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