<filename>subdomain_visit_count.py
'''
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.
'''



class Solution:
    def subdomainVisits(self, cpdomains: List[str]) -> List[str]:
        d = dict()
        
        for domain in cpdomains:
            count, domain = domain.split(' ')
            count = int(count)
            domain = domain.split('.')

            for i in range(len(domain)):
                subd = '.'.join(domain[i:])
                if subd not in d:
                    d[subd] = count

                else:
                    d[subd] += count
                    
        res = []     
        for item in d.keys():
            res.append( str(d[item]) + ' ' + item)
        return res

<filename>subdomain_visit_count.py
'''
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.
'''



class Solution:
    def subdomainVisits(self, cpdomains: List[str]) -> List[str]:
        d = dict()
        
        for domain in cpdomains:
            count, domain = domain.split(' ')
            count = int(count)
            domain = domain.split('.')

            for i in range(len(domain)):
                subd = '.'.join(domain[i:])
                if subd not in d:
                    d[subd] = count

                else:
                    d[subd] += count
                    
        res = []     
        for item in d.keys():
            res.append( str(d[item]) + ' ' + item)
        return res

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.