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


snake_case__						      =			logging.get_logger(__name__)

snake_case__						      =			{
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}



class 			UpperCamelCase					(			_A			):

     '''simple docstring'''

     A_					    =	'mpnet'



     def __init__(       self					,					A_=3_05_27					,					A_=7_68					,					A_=12					,					A_=12					,					A_=30_72					,					A_="gelu"					,					A_=0.1					,					A_=0.1					,					A_=5_12					,					A_=0.02					,					A_=1E-1_2					,					A_=32					,					A_=1					,					A_=0					,					A_=2					,					**A_					,					)			->					List[str]:






           """simple docstring"""
           super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE					,					bos_token_id=__SCREAMING_SNAKE_CASE					,					eos_token_id=__SCREAMING_SNAKE_CASE					,					**__SCREAMING_SNAKE_CASE    )

           _lowerCamelCase           =					vocab_size
           _lowerCamelCase           =					hidden_size
           _lowerCamelCase           =					num_hidden_layers
           _lowerCamelCase           =					num_attention_heads
           _lowerCamelCase           =					hidden_act
           _lowerCamelCase           =					intermediate_size
           _lowerCamelCase           =					hidden_dropout_prob
           _lowerCamelCase           =					attention_probs_dropout_prob
           _lowerCamelCase           =					max_position_embeddings
           _lowerCamelCase           =					initializer_range
           _lowerCamelCase           =					layer_norm_eps
           _lowerCamelCase           =					relative_attention_num_buckets


"""simple docstring"""




def   __SCREAMING_SNAKE_CASE		(		lowercase__ = 30 ):
					"""simple docstring"""
					A     =   exponent + 2
					A     =   (1 + 5**0.5) / 2
					A     =   (phi**fibonacci_index - (phi - 1) ** fibonacci_index) / 5**0.5

					return int(lowercase__ )


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





