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


__a         =   logging.get_logger(__name__)

__a         =   {
    'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/config.json',
    # See all XGLM models at https://huggingface.co/models?filter=xglm
}
class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




	a     :Optional[int]       	=      'xglm'
	a     :int       	=      ['past_key_values']

	a     :Union[str, Any]       	=      {
	    'num_attention_heads': 'attention_heads',
	    'hidden_size': 'd_model',
	    'num_hidden_layers': 'num_layers',
	}
	def __init__(			self    :     Optional[int]			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]=2_5_6_0_0_8			,				SCREAMING_SNAKE_CASE_    :     List[str]=2_0_4_8			,				SCREAMING_SNAKE_CASE_    :     List[str]=1_0_2_4			,				SCREAMING_SNAKE_CASE_    :     str=4_0_9_6			,				SCREAMING_SNAKE_CASE_    :     int=2_4			,				SCREAMING_SNAKE_CASE_    :     Tuple=1_6			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]="gelu"			,				SCREAMING_SNAKE_CASE_    :     Tuple=0.1			,				SCREAMING_SNAKE_CASE_    :     Dict=0.1			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]=0.0			,				SCREAMING_SNAKE_CASE_    :     Any=0.0			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]=0.02			,				SCREAMING_SNAKE_CASE_    :     str=True			,				SCREAMING_SNAKE_CASE_    :     List[str]=True			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]=2			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]=1			,				SCREAMING_SNAKE_CASE_    :     Union[str, Any]=0			,				SCREAMING_SNAKE_CASE_    :     Any=2			,				**SCREAMING_SNAKE_CASE_    :     str			,				)			->	str:
					lowercase_	    =   vocab_size
					lowercase_	    =   max_position_embeddings
					lowercase_	    =   d_model
					lowercase_	    =   ffn_dim
					lowercase_	    =   num_layers
					lowercase_	    =   attention_heads
					lowercase_	    =   activation_function
					lowercase_	    =   dropout
					lowercase_	    =   attention_dropout
					lowercase_	    =   activation_dropout
					lowercase_	    =   layerdrop
					lowercase_	    =   init_std
					lowercase_	    =   scale_embedding  # scale factor will be sqrt(d_model) if True
					lowercase_	    =   use_cache

					super().__init__(
					    pad_token_id=SCREAMING_SNAKE_CASE_			,				bos_token_id=SCREAMING_SNAKE_CASE_			,				eos_token_id=SCREAMING_SNAKE_CASE_			,				decoder_start_token_id=SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			,				)






from __future__ import annotations

from math import pi, sqrt




def 							a		(				snake_case__:   float		,  snake_case__:   float   ):


				'''simple docstring'''

				if inductance <= 0:
								raise ValueError('''Inductance cannot be 0 or negative'''   )

				elif capacitance <= 0:
								raise ValueError('''Capacitance cannot be 0 or negative'''   )

				else:
								return (
								    "Resonant frequency",
								    float(1 / (2 * pi * (sqrt(inductance * capacitance   )))   ),
								)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




