<gh_stars>0
"""
Q811
subdomain visit count
Easy

Hash table

A website domain like "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.

Now, call a "count-paired domain" to be a count (representing the number
of visits this domain received), followed by a space, followed by the
address. An example of a count-paired domain might be "9001 discuss.leetcode.com".

We are given a list cpdomains of count-paired domains. We would like a
list of count-paired domains, (in the same format as the input, and in
any order), that explicitly counts the number of visits to each subdomain.
"""

from typing import List


class Solution:
    def subdomainVisits(self, cpdomains: List[str]) -> List[str]:

        domains = {}
        subdomains = {}
        for d in cpdomains:
            num, domain = d.split()
            num = int(num)
            if domain not in domains:
                domains[domain] = num
            else:
                domains[domain] += num

        for key in domains:
            s = key.split(".")
            for i in range(len(s)):
                temp = ".".join(s[i:])
                if temp not in subdomains:
                    subdomains[temp] = domains[key]
                else:
                    subdomains[temp] += domains[key]

        res = []
        for key in subdomains:
            res.append(" ".join([str(subdomains[key]), str(key)]))

        return res

sol = Solution()
cpdomains = ["900 google.mail.com", "50 yahoo.com", "1 intel.mail.com", "5 wiki.org"]
print(sol.subdomainVisits(cpdomains))








"""
Q811
subdomain visit count
Easy

Hash table

A website domain like "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.

Now, call a "count-paired domain" to be a count (representing the number
of visits this domain received), followed by a space, followed by the
address. An example of a count-paired domain might be "9001 discuss.leetcode.com".

We are given a list cpdomains of count-paired domains. We would like a
list of count-paired domains, (in the same format as the input, and in
any order), that explicitly counts the number of visits to each subdomain.
"""

from typing import List


class Solution:
    def subdomainVisits(self, cpdomains: List[str]) -> List[str]:

        domains = {}
        subdomains = {}
        for d in cpdomains:
            num, domain = d.split()
            num = int(num)
            if domain not in domains:
                domains[domain] = num
            else:
                domains[domain] += num

        for key in domains:
            s = key.split(".")
            for i in range(len(s)):
                temp = ".".join(s[i:])
                if temp not in subdomains:
                    subdomains[temp] = domains[key]
                else:
                    subdomains[temp] += domains[key]

        res = []
        for key in subdomains:
            res.append(" ".join([str(subdomains[key]), str(key)]))

        return res

sol = Solution()
cpdomains = ["900 google.mail.com", "50 yahoo.com", "1 intel.mail.com", "5 wiki.org"]
print(sol.subdomainVisits(cpdomains))
Q811 subdomain visit count Easy  Hash table  A website domain like "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.  Now, call a "count-paired domain" to be a count (representing the number of visits this domain received), followed by a space, followed by the address. An example of a count-paired domain might be "9001 discuss.leetcode.com".  We are given a list cpdomains of count-paired domains. We would like a list of count-paired domains, (in the same format as the input, and in any order), that explicitly counts the number of visits to each subdomain.