



import copy

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


UpperCAmelCase__   =       logging.get_logger(__name__)







class 			__lowerCAmelCase    (			A						):
			UpperCamelCase   					=     '''encoder-decoder'''
			UpperCamelCase   					=     True



			def __init__(						self   :  Optional[Any] ,		**A   :  List[Any])   ->    str:



						"""simple docstring"""






						super().__init__(**_snake_case)
						assert (
						    "encoder" in kwargs and "decoder" in kwargs
						), "Config has to be initialized with encoder and decoder config"
						_UpperCAmelCase		       =   kwargs.pop('encoder')
						_UpperCAmelCase		       =   encoder_config.pop('model_type')
						_UpperCAmelCase		       =   kwargs.pop('decoder')
						_UpperCAmelCase		       =   decoder_config.pop('model_type')

						from ..auto.configuration_auto import AutoConfig

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



			@classmethod
			def     _lowerCamelCase       (						cls   :  int ,		A   :  Tuple ,		A   :  str ,		**A   :  Tuple)   ->    PretrainedConfig:



						"""simple docstring"""






						logger.info('Set `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() ,		**_snake_case)



			def     _lowerCamelCase       (						self   :  List[str])   ->    Optional[Any]:



						"""simple docstring"""






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


from __future__ import annotations

import typing
from collections import Counter


def     __lowerCAmelCase			(			a__  )       ->  typing.Counter[int]:
				__a										=    Counter()
				for base in range(1						,    max_perimeter + 1  ):
								for perpendicular in range(a__						,    max_perimeter + 1  ):
												__a										=    (base * base + perpendicular * perpendicular) ** 0.5
												if hypotenuse == int(a__  ):
																__a										=    int(base + perpendicular + hypotenuse  )
																if perimeter > max_perimeter:
																				continue
																triplets[perimeter] += 1
				return triplets


def     __lowerCAmelCase			(			a__ = 1000  )       ->  int:
				__a										=    pythagorean_triple(a__  )
				return triplets.most_common(1  )[0][0]


if __name__ == "__main__":
					print(F"Perimeter {solution()} has maximum solutions")