
'''simple docstring'''





A							     = 1_0**8
def 	snake_case_							(				_a  :				int      ):
      if n % 10 == 0:
            return False
      snake_case_    							=				str(_a      )
      return s == s[::-1]
def 	snake_case_							(				):
      snake_case_    							=				set()
      snake_case_    							=				1
      snake_case_    							=				5
      while sum_squares < LIMIT:
            snake_case_    							=				first_square + 1
            while sum_squares < LIMIT:
                  if is_palindrome(_a      ):
                        answer.add(_a      )
                  last_square += 1
                  sum_squares += last_square**2
            first_square += 1
            snake_case_    							=				first_square**2 + (first_square + 1) ** 2

      return sum(_a      )


if __name__ == "__main__":
     print(solution())



'''simple docstring'''





from collections import Counter
from functools import total_ordering

from data_structures.heap.heap import Heap



@total_ordering
class 			lowerCAmelCase__ :



  '''simple docstring'''






  def __init__(self	:			Tuple						,			lowerCAmelCase_	:			str						,			lowerCAmelCase_	:			int     ) ->							None:
        snake_case_    							=				word
        snake_case_    							=				count

  def __eq__(self	:			List[Any]						,			lowerCAmelCase_	:			object     ) ->							bool:
        if not isinstance(lowerCAmelCase_						,			lowerCAmelCase_     ):
              return NotImplemented
        return self.count == other.count


  def __lt__(self	:			Tuple						,			lowerCAmelCase_	:			object     ) ->							bool:
        if not isinstance(lowerCAmelCase_						,			lowerCAmelCase_     ):
              return NotImplemented
        return self.count < other.count

def 	snake_case_							(				_a  :				list[str]			,       _a  :				int      ):
      snake_case_    							=				Heap()
      snake_case_    							=				Counter(_a      )
      heap.build_max_heap(
          [WordCount(_a			,       _a      ) for word, count in count_by_word.items()]      )
      return [heap.extract_max().word for _ in range(min(_a			,       len(_a      )      )      )]


if __name__ == "__main__":
     import doctest

     doctest.testmod()

