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 		lowercase						(			snake_case__):






	"""simple docstring"""


	a__				: Any		       =							"biogpt"




	def __init__(     self     :						List[Any]						,  __UpperCAmelCase     :						Optional[int]=42_384						,  __UpperCAmelCase     :						List[str]=1_024						,  __UpperCAmelCase     :						List[Any]=24						,  __UpperCAmelCase     :						str=16						,  __UpperCAmelCase     :						Any=4_096						,  __UpperCAmelCase     :						List[Any]="gelu"						,  __UpperCAmelCase     :						Optional[int]=0.1						,  __UpperCAmelCase     :						Optional[int]=0.1						,  __UpperCAmelCase     :						Optional[Any]=1_024						,  __UpperCAmelCase     :						Optional[int]=0.02						,  __UpperCAmelCase     :						int=1E-12						,  __UpperCAmelCase     :						Tuple=True						,  __UpperCAmelCase     :						Tuple=True						,  __UpperCAmelCase     :						Optional[int]=0.0						,  __UpperCAmelCase     :						Any=0.0						,  __UpperCAmelCase     :						Any=1						,  __UpperCAmelCase     :						Any=0						,  __UpperCAmelCase     :						str=2						,  **__UpperCAmelCase     :						List[str]						,  )      ->			Tuple:
							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=__UpperCAmelCase						,  bos_token_id=__UpperCAmelCase						,  eos_token_id=__UpperCAmelCase						,  **__UpperCAmelCase					)









__A       =						6_5521



def 	__a					(   lowerCAmelCase_       : str    )				->			int:






						'''simple docstring'''



						UpperCAmelCase_=       1
						UpperCAmelCase_=       0
						for plain_chr in plain_text:
												UpperCAmelCase_=       (a + ord(lowerCAmelCase_    )) % MOD_ADLER
												UpperCAmelCase_=       (b + a) % MOD_ADLER
						return (b << 16) | a




