Problem
A website domain "discuss.leetcode.com"
consists of various subdomains. At the top level, we have "com"
, at the next level, we have "leetcode.com"
and at the lowest level, "discuss.leetcode.com"
. When we visit a domain like "discuss.leetcode.com"
, we will also visit the parent domains "leetcode.com"
and "com"
implicitly.
A count-paired domain is a domain that has one of the two formats "rep d1.d2.d3"
or "rep d1.d2"
where rep
is the number of visits to the domain and d1.d2.d3
is the domain itself.
- For example,
"9001 discuss.leetcode.com"
is a count-paired domain that indicates thatdiscuss.leetcode.com
was visited9001
times.
Given an array of count-paired domains cpdomains
, return **an array of the *count-paired domains* of each subdomain in the input**. You may return the answer in *any order*.
Example 1:
Input: cpdomains = ["9001 discuss.leetcode.com"]
Output: ["9001 leetcode.com","9001 discuss.leetcode.com","9001 com"]
Explanation: We only have one website domain: "discuss.leetcode.com".
As discussed above, the subdomain "leetcode.com" and "com" will also be visited. So they will all be visited 9001 times.
Example 2:
Input: cpdomains = ["900 google.mail.com", "50 yahoo.com", "1 intel.mail.com", "5 wiki.org"]
Output: ["901 mail.com","50 yahoo.com","900 google.mail.com","5 wiki.org","5 org","1 intel.mail.com","951 com"]
Explanation: We will visit "google.mail.com" 900 times, "yahoo.com" 50 times, "intel.mail.com" once and "wiki.org" 5 times.
For the subdomains, we will visit "mail.com" 900 + 1 = 901 times, "com" 900 + 50 + 1 = 951 times, and "org" 5 times.
Constraints:
1 <= cpdomain.length <= 100
1 <= cpdomain[i].length <= 100
cpdomain[i]
follows either the"repi d1i.d2i.d3i"
format or the"repi d1i.d2i"
format.repi
is an integer in the range[1, 10^4]
.d1i
,d2i
, andd3i
consist of lowercase English letters.
Solution (Java)
class Solution {
public List<String> subdomainVisits(String[] d) {
Map<String, Integer> fmap = new HashMap<>();
for (String s : d) {
int rep = 0;
int i;
for (i = 0; i < s.length(); i++) {
char c = s.charAt(i);
if (c >= '0' && c <= '9') {
rep = rep * 10 + (c - '0');
} else {
break;
}
}
String str = s.substring(i + 1);
seperate(rep, str, fmap);
}
List<String> res = new ArrayList<>();
for (Map.Entry<String, Integer> entry : fmap.entrySet()) {
String comp = "";
comp += entry.getValue();
comp += " ";
comp += entry.getKey();
res.add(comp);
}
return res;
}
private void seperate(int rep, String s, Map<String, Integer> fmap) {
int i = s.length() - 1;
while (i >= 0) {
String toHash;
while (i >= 0 && s.charAt(i) != '.') {
i--;
}
toHash = s.substring(i + 1);
fmap.put(toHash, fmap.getOrDefault(toHash, 0) + rep);
i--;
}
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).