




"""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()










"""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




