





from collections import Counter
from functools import total_ordering

from data_structures.heap.heap import Heap



@total_ordering
class 				_UpperCamelCase       :

       def __init__(		self:			Optional[int]       , _SCREAMING_SNAKE_CASE:			Optional[Any]       , _SCREAMING_SNAKE_CASE:			List[Any]		)							->			List[Any]:




              """simple docstring"""


              UpperCamelCase_ 							=	word
              UpperCamelCase_ 							=	count

       def __eq__(		self:			Any       , _SCREAMING_SNAKE_CASE:			str		)							->			str:




              """simple docstring"""


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



       def __lt__(		self:			List[Any]       , _SCREAMING_SNAKE_CASE:			str		)							->			Union[str, Any]:




              """simple docstring"""


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




def 			lowerCAmelCase_			(				UpperCamelCase_       ,		UpperCamelCase_	)  ->		Tuple:
       UpperCamelCase_ 							=	Heap()
       UpperCamelCase_ 							=	Counter(UpperCamelCase_	)
       heap.build_max_heap(
           [WordCount(UpperCamelCase_       ,		UpperCamelCase_	) for word, count in count_by_word.items()]	)
       return [heap.extract_max().word for _ in range(min(UpperCamelCase_       ,		len(UpperCamelCase_	)	)	)]


if __name__ == "__main__":
     import doctest

     doctest.testmod()


"""simple docstring"""


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


lowerCAmelCase_:       List[str]			     =       logging.get_logger(__name__)






class  a__     ( _a						):
   snake_case_				=   "speech-encoder-decoder"
   snake_case_				=   True


   def __init__(  self,					**_UpperCAmelCase	):
        '''simple docstring'''



        super().__init__(**_UpperCAmelCase	)
        if "encoder" not in kwargs or "decoder" not in kwargs:
             raise ValueError(
                 F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                 F''' `decoder` sub-configurations are passed, but only {kwargs}'''	)

        lowercase__								=				kwargs.pop("encoder"	)
        lowercase__								=				encoder_config.pop("model_type"	)
        lowercase__								=				kwargs.pop("decoder"	)
        lowercase__								=				decoder_config.pop("model_type"	)

        lowercase__								=				AutoConfig.for_model(_UpperCAmelCase,					**_UpperCAmelCase	)
        lowercase__								=				AutoConfig.for_model(_UpperCAmelCase,					**_UpperCAmelCase	)
        lowercase__								=				True


   @classmethod
   def 						snake_case__						(  cls,					_UpperCAmelCase,					_UpperCAmelCase,					**_UpperCAmelCase	):
        '''simple docstring'''



        logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"	)
        lowercase__								=				True
        lowercase__								=				True

        return cls(encoder=encoder_config.to_dict(),					decoder=decoder_config.to_dict(),					**_UpperCAmelCase	)


   def 						snake_case__						(  self	):
        '''simple docstring'''



        lowercase__								=				copy.deepcopy(self.__dict__	)
        lowercase__								=				self.encoder.to_dict()
        lowercase__								=				self.decoder.to_dict()
        lowercase__								=				self.__class__.model_type
        return output




