
"""simple docstring"""





def 				lowerCamelCase__		(      __snake_case     )							->		bool:


					"""simple docstring"""





					return str(_SCREAMING_SNAKE_CASE     ) == str(_SCREAMING_SNAKE_CASE     )[::-1]



def 				lowerCamelCase__		(      __snake_case     )							->		int:


					"""simple docstring"""





					return int(_SCREAMING_SNAKE_CASE     ) + int(str(_SCREAMING_SNAKE_CASE     )[::-1]     )



def 				lowerCamelCase__		(      __snake_case = 1_00_00     )							->		int:


					"""simple docstring"""





					__UpperCamelCase										=  []
					for num in range(1,					_SCREAMING_SNAKE_CASE     ):
										__UpperCamelCase										=  0
										__UpperCamelCase										=  num
										while iterations < 50:
															__UpperCamelCase										=  sum_reverse(_SCREAMING_SNAKE_CASE     )
															iterations += 1
															if is_palindrome(_SCREAMING_SNAKE_CASE     ):
																				break
										else:
															lychrel_nums.append(_SCREAMING_SNAKE_CASE     )
					return len(_SCREAMING_SNAKE_CASE     )


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








"""simple docstring"""





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


_a														=		logging.get_logger(__name__)

_a														=		{
    """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/config.json""",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'biogpt'



		def __init__( self    ,		__a=4_23_84    ,		__a=10_24    ,		__a=24    ,		__a=16    ,		__a=40_96    ,		__a="gelu"    ,		__a=0.1    ,		__a=0.1    ,		__a=10_24    ,		__a=0.02    ,		__a=1e-12    ,		__a=True    ,		__a=True    ,		__a=0.0    ,		__a=0.0    ,		__a=1    ,		__a=0    ,		__a=2    ,		**__a    ,		)	->	Dict:






							'''simple docstring'''
							_UpperCamelCase										=  vocab_size
							_UpperCamelCase										=  max_position_embeddings
							_UpperCamelCase										=  hidden_size
							_UpperCamelCase										=  num_hidden_layers
							_UpperCamelCase										=  num_attention_heads
							_UpperCamelCase										=  intermediate_size
							_UpperCamelCase										=  hidden_act
							_UpperCamelCase										=  hidden_dropout_prob
							_UpperCamelCase										=  attention_probs_dropout_prob
							_UpperCamelCase										=  initializer_range
							_UpperCamelCase										=  layer_norm_eps
							_UpperCamelCase										=  scale_embedding
							_UpperCamelCase										=  use_cache
							_UpperCamelCase										=  layerdrop
							_UpperCamelCase										=  activation_dropout
							super().__init__(pad_token_id=__a    ,		bos_token_id=__a    ,		eos_token_id=__a    ,		**__a)






