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Efficient subststring match


Replace match inside tagsString Matching and ClusteringMore efficient way of removing line indices?Autocomplete Trie OptimizationEfficient dictionary printingExcel Data Manipulation - parse, match and createFinding longest common prefixMatch values between 2 sheets on excel, if match found, update cellefficient django model for resume













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$begingroup$


I have a list of unique strings (approx, 25,00,000) of different lengths and I am trying to find if there is any string which occurs as a substring of previous strings.



def index_containing_substring(the_list, substring):
for i, s in enumerate(the_list):
if substring in s:
return i
return -1

def string_match():
test_list=['foo bar abc xml','fdff gdnfgf gdkgf','foo bar','abc','xml','xyz']
max_len=4 # I am storing the maximum length of sentence
# the list starts with reverse order
# i.e sentence with highest length are at the top
safe_to_add=[]
for s in test_list:
if len(s)==max_len:
safe_to_add.append(s)
else:
idx=index_containing_substring(safe_to_add,s)
if idx==-1:
safe_to_add.append(s)
else:
# process the substring
print('match found {} for {}'.format(test_list[idx],s))


This method works fine but I think it is pretty slow. Is there a better way to solve this problem using a better data structure (trie or suffix tree)?



Output





match found foo bar abc xml for foo bar
match found foo bar abc xml for abc
match found foo bar abc xml for xml








share









$endgroup$

















    0












    $begingroup$


    I have a list of unique strings (approx, 25,00,000) of different lengths and I am trying to find if there is any string which occurs as a substring of previous strings.



    def index_containing_substring(the_list, substring):
    for i, s in enumerate(the_list):
    if substring in s:
    return i
    return -1

    def string_match():
    test_list=['foo bar abc xml','fdff gdnfgf gdkgf','foo bar','abc','xml','xyz']
    max_len=4 # I am storing the maximum length of sentence
    # the list starts with reverse order
    # i.e sentence with highest length are at the top
    safe_to_add=[]
    for s in test_list:
    if len(s)==max_len:
    safe_to_add.append(s)
    else:
    idx=index_containing_substring(safe_to_add,s)
    if idx==-1:
    safe_to_add.append(s)
    else:
    # process the substring
    print('match found {} for {}'.format(test_list[idx],s))


    This method works fine but I think it is pretty slow. Is there a better way to solve this problem using a better data structure (trie or suffix tree)?



    Output





    match found foo bar abc xml for foo bar
    match found foo bar abc xml for abc
    match found foo bar abc xml for xml








    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I have a list of unique strings (approx, 25,00,000) of different lengths and I am trying to find if there is any string which occurs as a substring of previous strings.



      def index_containing_substring(the_list, substring):
      for i, s in enumerate(the_list):
      if substring in s:
      return i
      return -1

      def string_match():
      test_list=['foo bar abc xml','fdff gdnfgf gdkgf','foo bar','abc','xml','xyz']
      max_len=4 # I am storing the maximum length of sentence
      # the list starts with reverse order
      # i.e sentence with highest length are at the top
      safe_to_add=[]
      for s in test_list:
      if len(s)==max_len:
      safe_to_add.append(s)
      else:
      idx=index_containing_substring(safe_to_add,s)
      if idx==-1:
      safe_to_add.append(s)
      else:
      # process the substring
      print('match found {} for {}'.format(test_list[idx],s))


      This method works fine but I think it is pretty slow. Is there a better way to solve this problem using a better data structure (trie or suffix tree)?



      Output





      match found foo bar abc xml for foo bar
      match found foo bar abc xml for abc
      match found foo bar abc xml for xml








      share









      $endgroup$




      I have a list of unique strings (approx, 25,00,000) of different lengths and I am trying to find if there is any string which occurs as a substring of previous strings.



      def index_containing_substring(the_list, substring):
      for i, s in enumerate(the_list):
      if substring in s:
      return i
      return -1

      def string_match():
      test_list=['foo bar abc xml','fdff gdnfgf gdkgf','foo bar','abc','xml','xyz']
      max_len=4 # I am storing the maximum length of sentence
      # the list starts with reverse order
      # i.e sentence with highest length are at the top
      safe_to_add=[]
      for s in test_list:
      if len(s)==max_len:
      safe_to_add.append(s)
      else:
      idx=index_containing_substring(safe_to_add,s)
      if idx==-1:
      safe_to_add.append(s)
      else:
      # process the substring
      print('match found {} for {}'.format(test_list[idx],s))


      This method works fine but I think it is pretty slow. Is there a better way to solve this problem using a better data structure (trie or suffix tree)?



      Output





      match found foo bar abc xml for foo bar
      match found foo bar abc xml for abc
      match found foo bar abc xml for xml






      python python-3.x





      share












      share










      share



      share










      asked 4 mins ago









      RohitRohit

      54331020




      54331020






















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