Python what means to parse an array of strings and extract the most used mask?

Question

Python

I need to parse an array of urls, and somehow extract a frequently used link mask. For example, I have the following URLs:
" lenta.ru/articles/2014/10/08/mosclassicgp "
" lenta.ru/photo/2014/10/07/longway "
" lenta.ru/photo/2014/ 10/03/misstuning "
" lenta.ru/photo/2014/08/27/nivajpg "
" lenta.ru/photo/2014/02/18/dynamic "
" lenta.ru/news/2014/10/08/nsxprice "
" lenta.ru/autosport "
Visual analysis shows that the most frequently used mask will be lenta.ru/photo <
I would like something similar by automated means, maybe there are some libraries for this, or, in extreme cases, some kind of algorithm.

Answer 1

You are unlikely to find specific libraries, but the algorithm is extremely simple:

# Критерии
def isdigits(str):
   for i in str:
      if not i.isdigit()
         return False
   return True

def istext(str):
# какая-то логика

token = ("type_of_token", "value_of_token", len("value_of_token"))

def process_link(link):
   tokenlist = []
   for i in link.split('/'):
      if isdigit(i):
         tokenlist.append(("digit", i, len(i))
      if istext():
         tokenlist.append(("text", i, len(i))
   return tokenlist

It remains only to get a list of tokens for each link and count similar options)