






'''simple docstring'''


import copy

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


lowerCamelCase_					:			List[Any]     						=				logging.get_logger(__name__)
class  _SCREAMING_SNAKE_CASE				(		SCREAMING_SNAKE_CASE						):


			'''simple docstring'''





			__a				:				Union[str, Any]         =       "speech-encoder-decoder"
			__a				:				Dict         =       True






			def __init__( self				:    Tuple			,   **lowercase				:    Any      )				->     Any:

									'''simple docstring'''







									super().__init__(**lowercase      )
									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}"      )

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

									UpperCamelCase__       =			AutoConfig.for_model(lowercase			,   **lowercase      )
									UpperCamelCase__       =			AutoConfig.for_model(lowercase			,   **lowercase      )
									UpperCamelCase__       =			True






			@classmethod
			def 					A   ( cls				:    List[Any]			,   lowercase				:    PretrainedConfig			,   lowercase				:    PretrainedConfig			,   **lowercase				:    Dict      )				->     PretrainedConfig:

									'''simple docstring'''







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

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







			def 					A   ( self				:    int      )				->     Dict:

									'''simple docstring'''







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








'''simple docstring'''


from itertools import combinations_with_replacement







def 						__magic_name__(			_A = 100       ):
						'''simple docstring'''





						UpperCamelCase__       =			[*list(range(1    ,   21       )       ), 25]
						UpperCamelCase__       =			[2 * x for x in range(1    ,   21       )] + [50]
						UpperCamelCase__       =			[3 * x for x in range(1    ,   21       )]
						UpperCamelCase__       =			singles + doubles + triples + [0]

						UpperCamelCase__       =			0
						UpperCamelCase__       =			42
						UpperCamelCase__       =			42
						UpperCamelCase__       =			42
						UpperCamelCase__       =			42

						for double in doubles:
												for throwa, throwa in combinations_with_replacement(_A    ,   2       ):
																		UpperCamelCase__       =			double + throwa + throwa
																		if checkout_total < limit:
																								num_checkouts += 1

						return num_checkouts


if __name__ == "__main__":
					print(f"""{solution() = }""")
