



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


lowerCAmelCase__					  =  logging.get_logger(__name__)

lowerCAmelCase__					  =  {
    '''SCUT-DLVCLab/lilt-roberta-en-base''': (
        '''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'''
    ),
}

class 				snake_case__(_UpperCamelCase      ):

					"""simple docstring"""






					lowercase_								=		"""lilt"""







					def __init__(							self :     List[Any]				,       SCREAMING_SNAKE_CASE :     Dict=30_522				,       SCREAMING_SNAKE_CASE :     int=768				,       SCREAMING_SNAKE_CASE :     Optional[int]=12				,       SCREAMING_SNAKE_CASE :     List[Any]=12				,       SCREAMING_SNAKE_CASE :     Tuple=3_072				,       SCREAMING_SNAKE_CASE :     List[Any]="gelu"				,       SCREAMING_SNAKE_CASE :     Dict=0.1				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=0.1				,       SCREAMING_SNAKE_CASE :     str=512				,       SCREAMING_SNAKE_CASE :     Optional[int]=2				,       SCREAMING_SNAKE_CASE :     str=0.02				,       SCREAMING_SNAKE_CASE :     List[str]=1E-1_2				,       SCREAMING_SNAKE_CASE :     List[str]=0				,       SCREAMING_SNAKE_CASE :     List[Any]="absolute"				,       SCREAMING_SNAKE_CASE :     Optional[Any]=None				,       SCREAMING_SNAKE_CASE :     str=4				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=1_024				,       **SCREAMING_SNAKE_CASE :     Any				,       ):
									super().__init__(pad_token_id=SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)

									lowercase__					:   Union[str, Any]													=					vocab_size
									lowercase__					:   Union[str, Any]													=					hidden_size
									lowercase__					:   Optional[Any]													=					num_hidden_layers
									lowercase__					:   Any													=					num_attention_heads
									lowercase__					:   Union[str, Any]													=					hidden_act
									lowercase__					:   Dict													=					intermediate_size
									lowercase__					:   List[str]													=					hidden_dropout_prob
									lowercase__					:   List[str]													=					attention_probs_dropout_prob
									lowercase__					:   List[str]													=					max_position_embeddings
									lowercase__					:   List[Any]													=					type_vocab_size
									lowercase__					:   List[Any]													=					initializer_range
									lowercase__					:   str													=					layer_norm_eps
									lowercase__					:   List[Any]													=					position_embedding_type
									lowercase__					:   int													=					classifier_dropout
									lowercase__					:   Union[str, Any]													=					channel_shrink_ratio
									lowercase__					:   Tuple													=					max_ad_position_embeddings









from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase__					  =  1.054571817e-34  # unit of ℏ : J * s

lowerCAmelCase__					  =  3e8  # unit of c : m * s^-1


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				if (force, area, distance).count(0						) != 1:
								raise ValueError("One and only one argument must be 0"						)
				if force < 0:
								raise ValueError("Magnitude of force can not be negative"						)
				if distance < 0:
								raise ValueError("Distance can not be negative"						)
				if area < 0:
								raise ValueError("Area can not be negative"						)
				if force == 0:
								lowercase__					:   Optional[Any]													=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
								    240 * (distance) ** 4
								)
								return {"force": force}
				elif area == 0:
								lowercase__					:   str													=					(240 * force * (distance) ** 4) / (
								    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
								)
								return {"area": area}
				elif distance == 0:
								lowercase__					:   Tuple													=					(
								    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
								) ** (1 / 4)
								return {"distance": distance}
				raise ValueError("One and only one argument must be 0"						)


# Run doctest
if __name__ == "__main__":
				import doctest

				doctest.testmod()




