

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    logging.get_logger(__name__)






class  UpperCAmelCase__	( __lowerCAmelCase ):






		"""simple docstring"""


		a     =      "encoder-decoder"
		a     =      True






		def __init__(							self		:	Any			,     **__lowerCamelCase		:	Optional[int]      )	->							Dict:
							super().__init__(**lowerCamelCase__      )
							assert (
							    "encoder" in kwargs and "decoder" in kwargs
							), "Config has to be initialized with encoder and decoder config"
							SCREAMING_SNAKE_CASE__					=					kwargs.pop('''encoder'''      )
							SCREAMING_SNAKE_CASE__					=					encoder_config.pop('''model_type'''      )
							SCREAMING_SNAKE_CASE__					=					kwargs.pop('''decoder'''      )
							SCREAMING_SNAKE_CASE__					=					decoder_config.pop('''model_type'''      )

							from ..auto.configuration_auto import AutoConfig

							SCREAMING_SNAKE_CASE__					=					AutoConfig.for_model(lowerCamelCase__			,     **lowerCamelCase__      )
							SCREAMING_SNAKE_CASE__					=					AutoConfig.for_model(lowerCamelCase__			,     **lowerCamelCase__      )
							SCREAMING_SNAKE_CASE__					=					True






		@classmethod
		def    lowercase_	(							cls		:	Optional[int]			,     __lowerCamelCase		:	PretrainedConfig			,     __lowerCamelCase		:	PretrainedConfig			,     **__lowerCamelCase		:	Union[str, Any]      )	->							PretrainedConfig:
							logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''      )
							SCREAMING_SNAKE_CASE__					=					True
							SCREAMING_SNAKE_CASE__					=					True

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







		def    lowercase_	(							self		:	List[Any]      )	->							Any:
							SCREAMING_SNAKE_CASE__					=					copy.deepcopy(self.__dict__      )
							SCREAMING_SNAKE_CASE__					=					self.encoder.to_dict()
							SCREAMING_SNAKE_CASE__					=					self.decoder.to_dict()
							SCREAMING_SNAKE_CASE__					=					self.__class__.model_type
							return output





import random
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					a[left_index]
     SCREAMING_SNAKE_CASE__					=					left_index + 1
     for j in range(left_index + 1   ,	_A       ):
          if a[j] < pivot:
               SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					a[i], a[j]
               i += 1
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					a[i - 1], a[left_index]
     return i - 1
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     if left < right:
          SCREAMING_SNAKE_CASE__					=					random.randint(_A   ,	right - 1       )
          SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					(
              a[left],
              a[pivot],
          )  # switches the pivot with the left most bound
          SCREAMING_SNAKE_CASE__					=					partition(_A   ,	_A   ,	_A       )
          quick_sort_random(
              _A   ,	_A   ,	_A       )  # recursive quicksort to the left of the pivot point
          quick_sort_random(
              _A   ,	pivot_index + 1   ,	_A       )  # recursive quicksort to the right of the pivot point
def        UpperCAmelCase_     (		):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					input('''Enter numbers separated by a comma:\n'''       ).strip()
     SCREAMING_SNAKE_CASE__					=					[int(_A       ) for item in user_input.split(''','''       )]

     quick_sort_random(_A   ,	0   ,	len(_A       )       )

     print(_A       )


if __name__ == "__main__":
       main()


