



from collections import OrderedDict
from typing import Mapping

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


a_   :int        =      logging.get_logger(__name__)

a_   :int        =      {
    "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 					snake_case__						(       lowerCAmelCase_     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	"""camembert"""






     def __init__(       self  :  Union[str, Any], _snake_case  :  Union[str, Any]=3_0_5_2_2, _snake_case  :  Tuple=7_6_8, _snake_case  :  Union[str, Any]=1_2, _snake_case  :  List[str]=1_2, _snake_case  :  List[Any]=3_0_7_2, _snake_case  :  List[Any]="gelu", _snake_case  :  Optional[Any]=0.1, _snake_case  :  Dict=0.1, _snake_case  :  Optional[int]=5_1_2, _snake_case  :  int=2, _snake_case  :  List[str]=0.0_2, _snake_case  :  List[str]=1e-12, _snake_case  :  Optional[Any]=1, _snake_case  :  Union[str, Any]=0, _snake_case  :  int=2, _snake_case  :  Optional[int]="absolute", _snake_case  :  List[str]=True, _snake_case  :  str=None, **_snake_case  :  str, )   ->str:
            super().__init__(pad_token_id=__lowerCAmelCase, bos_token_id=__lowerCAmelCase, eos_token_id=__lowerCAmelCase, **__lowerCAmelCase					)

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




class 					snake_case__						(       lowerCAmelCase_     ):






     """simple docstring"""


     @property
     def    lowercase_   (       self  :  Optional[Any]					)   ->Any:







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













def lowerCAmelCase__(__snake_case							)				->      list:







	'''simple docstring'''







	lowerCamelCase__								=		len(__snake_case							)
	for _ in range(__snake_case							):
		for i in range(_ % 2       ,arr_size - 1       ,2							):
			if arr[i + 1] < arr[i]:
				lowerCamelCase__				,	lowerCamelCase__								=		arr[i + 1], arr[i]

	return arr


if __name__ == "__main__":
			_a 						=      list(range(10, 0, -1))
			print(f"""Original: {arr}. Sorted: {odd_even_transposition(arr)}""")



