code: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  from collections import Counter
  from functools import total_ordering
  
  from data_structures.heap.heap import Heap
  @total_ordering
  class 							lowerCamelCase		:
  
  
  
  
  
  
  
     def __init__(							self    ,      SCREAMING_SNAKE_CASE_    ,      SCREAMING_SNAKE_CASE_ ):
         UpperCamelCase				:   Union[str, Any]          =							word
         UpperCamelCase				:   Optional[Any]          =							count
  
  
  
  
  
  
  
     def __eq__(							self    ,      SCREAMING_SNAKE_CASE_ ):
  
  
  
  
  
  
  
         if not isinstance(UpperCamelCase__    ,      UpperCamelCase__ ):
             return NotImplemented
         return self.count == other.count
  
  
  
  
  
  
  
     def __lt__(							self    ,      SCREAMING_SNAKE_CASE_ ):
  
  
  
  
  
  
  
         if not isinstance(UpperCamelCase__    ,      UpperCamelCase__ ):
             return NotImplemented
         return self.count < other.count
  
  
  def 					A_			(		snake_case_     :       List[Any]						,snake_case_     :       Any    ):
  
  
  
  
  
  
  
      '''simple docstring'''
      UpperCamelCase				:   Heap[WordCount]          =							Heap()
      UpperCamelCase				:   int          =							Counter(SCREAMING_SNAKE_CASE__    )
      heap.build_max_heap(
          [WordCount(SCREAMING_SNAKE_CASE__						,SCREAMING_SNAKE_CASE__    ) for word, count in count_by_word.items()]    )
      return [heap.extract_max().word for _ in range(min(SCREAMING_SNAKE_CASE__						,len(SCREAMING_SNAKE_CASE__    )    )    )]
  
  
  if __name__ == "__main__":
    import doctest
  
    doctest.testmod()
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  from ...utils import is_transformers_available
  from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline
  
  
  if is_transformers_available():
    from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline
  
  
  
  
  