
from collections import OrderedDict
from typing import Mapping

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


A     :	Union[str, Any]    = logging.get_logger(__name__)

A     :	Union[str, Any]    = {
    '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 			__A( a			):
				snake_case_						   =    '''xlm-roberta'''




				def __init__(     self		,     _snake_case=30_522		,     _snake_case=768		,     _snake_case=12		,     _snake_case=12		,     _snake_case=3_072		,     _snake_case="gelu"		,     _snake_case=0.1		,     _snake_case=0.1		,     _snake_case=512		,     _snake_case=2		,     _snake_case=0.02		,     _snake_case=1E-12		,     _snake_case=1		,     _snake_case=0		,     _snake_case=2		,     _snake_case="absolute"		,     _snake_case=True		,     _snake_case=None		,     **_snake_case		,     )    ->      Dict:


								'''simple docstring'''




								super().__init__(pad_token_id=_snake_case		,     bos_token_id=_snake_case		,     eos_token_id=_snake_case		,     **_snake_case				)

								__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 			__A( a			):




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Mapping[str, Mapping[int, str]]:


								'''simple docstring'''




								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),
								    ]				)




from __future__ import annotations

class 		UpperCAmelCase__			:




			'''simple docstring'''






			def __init__(   self							: Optional[Any]       ,       a_							: Optional[int]=None ):
					'''simple docstring'''





					__UpperCAmelCase    :     Optional[Any]													=	data
					__UpperCAmelCase    :     Any													=	None




			def __repr__(   self							: Tuple ):
					'''simple docstring'''





					__UpperCAmelCase    :     Dict													=	[]
					__UpperCAmelCase    :     Any													=	self
					while temp:
							string_rep.append(F'{temp.data}' )
							__UpperCAmelCase    :     Dict													=	temp.next
					return "->".join(a_ )

def        a						(      _UpperCAmelCase							:					list						):







		'''simple docstring'''





		if not elements_list:
				raise Exception('''The Elements List is empty'''						)

		__UpperCAmelCase    :     int													=	Node(elements_list[0]						)
		for i in range(1 ,   len(_UpperCAmelCase						)						):
				__UpperCAmelCase    :     Any													=	Node(elements_list[i]						)
				__UpperCAmelCase    :     Optional[int]													=	current.next
		return head

def        a						(      _UpperCAmelCase							:					Node						):







		'''simple docstring'''





		if head_node is not None and isinstance(_UpperCAmelCase ,   _UpperCAmelCase						):
				print_reverse(head_node.next						)
				print(head_node.data						)

def        a						(      ):







		'''simple docstring'''





		from doctest import testmod

		testmod()

		__UpperCAmelCase    :     Tuple													=	make_linked_list([14, 52, 14, 12, 43]						)
		print('''Linked List:'''						)
		print(_UpperCAmelCase						)
		print('''Elements in Reverse:'''						)
		print_reverse(_UpperCAmelCase						)


if __name__ == "__main__":
				main()





