

'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__      		=			logging.get_logger(__name__)

lowerCAmelCase__      		=			{
    'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/config.json',
    'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/config.json',
    'xlm-roberta-large-finetuned-conll02-dutch': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll02-spanish': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-english': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-german': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'
    ),
}






class     lowercase_			(lowerCamelCase__   ):




		"""simple docstring"""




		SCREAMING_SNAKE_CASE					:						Tuple           =    '''xlm-roberta'''






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

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






class     lowercase_			(lowerCamelCase__   ):




		"""simple docstring"""




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




'''simple docstring'''






def 	_A  (					A__   ):






 """simple docstring"""



 if not nums:  # Makes sure that the list is not empty
  raise ValueError('''List is empty'''   )

 __lowercase													=				sum(A__   ) / len(A__   )  # Calculate the average
 return sum(abs(x - average   ) for x in nums   ) / len(A__   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

