Suppose we abstract our file system by a string in the following manner:
The string"dir\n\tsubdir1\n\tsubdir2\n\t\tfile.ext"
represents:
dir
subdir1
subdir2
file.ext
The directorydir
contains an empty sub-directorysubdir1
and a sub-directorysubdir2
containing a filefile.ext
.
The string"dir\n\tsubdir1\n\t\tfile1.ext\n\t\tsubsubdir1\n\tsubdir2\n\t\tsubsubdir2\n\t\t\tfile2.ext"
represents:
dir
subdir1
file1.ext
subsubdir1
subdir2
subsubdir2
file2.ext
The directorydir
contains two sub-directoriessubdir1
andsubdir2
.subdir1
contains a filefile1.ext
and an empty second-level sub-directorysubsubdir1
.subdir2
contains a second-level sub-directorysubsubdir2
containing a filefile2.ext
.
We are interested in finding the longest (number of characters) absolute path to a file within our file system. For example, in the second example above, the longest absolute path is"dir/subdir2/subsubdir2/file2.ext"
, and its length is32
(not including the double quotes).
Given a string representing the file system in the above format, return the length of the longest absolute path to file in the abstracted file system. If there is no file in the system, return0
.
Note:
- The name of a file contains at least a
.
and an extension. - The name of a directory or sub-directory will not contain a
.
.
Time complexity required:O(n)
wheren
is the size of the input string.
Notice thata/aa/aaa/file1.txt
is not the longest file path, if there is another pathaaaaaaaaaaaaaaaaaaaaa/sth.png
.
public class Solution {
public int lengthLongestPath(String input) {
if(input.length() == 0) return 0;
String[] items = input.split("\n");
List<Integer> path = new ArrayList<Integer>();
int max = 0;
for(int i = 0; i < items.length; i++) {
int level = 0;
int nameStart = 0;
while(nameStart < items[i].length() && items[i].charAt(nameStart) == '\t') {
level ++;
nameStart += 1;
}
while(path.size() > level) {
path.remove(path.size() - 1);
}
path.add(items[i].length() - nameStart);
if(items[i].indexOf('.') != -1) {
int sum = 0;
for(Integer len: path) sum += len;
sum += path.size() - 1;
max = Integer.max(sum, max);
}
}
return max;
}
}