


"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase						:				Tuple             =      logging.get_logger(__name__)

UpperCamelCase						:				List[str]             =      {
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}



class 			lowerCamelCase__						(   UpperCAmelCase_			):
						lowerCAmelCase       =     """camembert"""







						def __init__(							self   :    List[Any]			,			_lowercase   :    Tuple=30_522			,			_lowercase   :    int=768			,			_lowercase   :    List[str]=12			,			_lowercase   :    Optional[int]=12			,			_lowercase   :    Any=3_072			,			_lowercase   :    Dict="gelu"			,			_lowercase   :    Dict=0.1			,			_lowercase   :    Tuple=0.1			,			_lowercase   :    Tuple=512			,			_lowercase   :    Any=2			,			_lowercase   :    Optional[int]=0.0_2			,			_lowercase   :    Dict=1e-12			,			_lowercase   :    List[str]=1			,			_lowercase   :    List[Any]=0			,			_lowercase   :    Dict=2			,			_lowercase   :    Dict="absolute"			,			_lowercase   :    Tuple=True			,			_lowercase   :    List[Any]=None			,			**_lowercase   :    Any			,			):
								super().__init__(pad_token_id=_lowercase			,			bos_token_id=_lowercase			,			eos_token_id=_lowercase			,			**_lowercase		)

								A					       = vocab_size
								A					       = hidden_size
								A					       = num_hidden_layers
								A					       = num_attention_heads
								A					       = hidden_act
								A					       = intermediate_size
								A					       = hidden_dropout_prob
								A					       = attention_probs_dropout_prob
								A					       = max_position_embeddings
								A					       = type_vocab_size
								A					       = initializer_range
								A					       = layer_norm_eps
								A					       = position_embedding_type
								A					       = use_cache
								A					       = classifier_dropout



class 			lowerCamelCase__						(   UpperCAmelCase_			):







						@property
						def __a						(							self   :    List[Any]		):
								if self.task == "multiple-choice":
										A					       = {0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
										A					       = {0: 'batch', 1: 'sequence'}
								return OrderedDict(
								    [
								        ('input_ids', dynamic_axis),
								        ('attention_mask', dynamic_axis),
								    ]		)









"""simple docstring"""


def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		int:







		"""simple docstring"""





		while b:
				A       , A					       = b, a % b
		return a







def  __snake_case       (   UpperCamelCase__ ,			UpperCamelCase__	)      ->		int:







		"""simple docstring"""





		return a if b == 0 else euclidean_gcd_recursive(UpperCamelCase__ ,			a % b	)







def  __snake_case       (   )      ->		List[Any]:







		"""simple docstring"""





		print(f'euclidean_gcd(3, 5) = {euclidean_gcd(3 ,			5	)}'	)
		print(f'euclidean_gcd(5, 3) = {euclidean_gcd(5 ,			3	)}'	)
		print(f'euclidean_gcd(1, 3) = {euclidean_gcd(1 ,			3	)}'	)
		print(f'euclidean_gcd(3, 6) = {euclidean_gcd(3 ,			6	)}'	)
		print(f'euclidean_gcd(6, 3) = {euclidean_gcd(6 ,			3	)}'	)

		print(f'euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3 ,			5	)}'	)
		print(f'euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5 ,			3	)}'	)
		print(f'euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1 ,			3	)}'	)
		print(f'euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3 ,			6	)}'	)
		print(f'euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6 ,			3	)}'	)


if __name__ == "__main__":
	main()





