




'''simple docstring'''






from collections import Counter
from functools import total_ordering

from data_structures.heap.heap import Heap

@total_ordering
class 	SCREAMING_SNAKE_CASE_		:



 def __init__(	self ,		A ,		A			):






        '''simple docstring'''




        lowercase	:		List[Any]    =   word
        lowercase	:		Any    =   count



 def __eq__(	self ,		A			):






        '''simple docstring'''




        if not isinstance(A ,		A			):
               return NotImplemented
        return self.count == other.count





 def __lt__(	self ,		A			):






        '''simple docstring'''




        if not isinstance(A ,		A			):
               return NotImplemented
        return self.count < other.count






def 		a_(			lowerCamelCase ,					lowerCamelCase   )					->list[str]:






       '''simple docstring'''




       lowercase	:		Heap[WordCount]    =   Heap()
       lowercase	:		Optional[int]    =   Counter(lowerCamelCase   )
       heap.build_max_heap(
           [WordCount(lowerCamelCase ,					lowerCamelCase   ) for word, count in count_by_word.items()]   )
       return [heap.extract_max().word for _ in range(min(lowerCamelCase ,					len(lowerCamelCase   )   )   )]


if __name__ == "__main__":
      import doctest

      doctest.testmod()










'''simple docstring'''






def 		a_(			lowerCamelCase ,					lowerCamelCase   )					->int:






       '''simple docstring'''




       if len(lowerCamelCase   ) < len(lowerCamelCase   ):
              return levenshtein_distance(lowerCamelCase ,					lowerCamelCase   )

       if len(lowerCamelCase   ) == 0:
              return len(lowerCamelCase   )

       lowercase	:		List[Any]    =   list(range(len(lowerCamelCase   ) + 1   )   )

       for i, ca in enumerate(lowerCamelCase   ):
              lowercase	:		Any    =   [i + 1]

              for j, ca in enumerate(lowerCamelCase   ):
                     # Calculate insertions, deletions and substitutions
                     lowercase	:		List[Any]    =   previous_row[j + 1] + 1
                     lowercase	:		str    =   current_row[j] + 1
                     lowercase	:		List[Any]    =   previous_row[j] + (ca != ca)

                     # Get the minimum to append to the current row
                     current_row.append(min(lowerCamelCase ,					lowerCamelCase ,					lowerCamelCase   )   )

              # Store the previous row
              lowercase	:		List[str]    =   current_row

       # Returns the last element (distance)
       return previous_row[-1]


if __name__ == "__main__":
      lowercase						:   Dict      						=							input('''Enter the first word:\n''').strip()
      lowercase						:   Tuple      						=							input('''Enter the second word:\n''').strip()

      lowercase						:   Tuple      						=							levenshtein_distance(first_word, second_word)
      print(f'Levenshtein distance between {first_word} and {second_word} is {result}')




