
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      A__							(     _a	):
				lowercase			    =  """xlm-roberta"""






				def __init__(						self					:      Any    ,     a					:      List[str]=30_522    ,     a					:      Optional[int]=768    ,     a					:      Optional[int]=12    ,     a					:      int=12    ,     a					:      str=3_072    ,     a					:      List[str]="gelu"    ,     a					:      Dict=0.1    ,     a					:      int=0.1    ,     a					:      str=512    ,     a					:      Optional[int]=2    ,     a					:      str=0.0_2    ,     a					:      Union[str, Any]=1E-12    ,     a					:      Optional[int]=1    ,     a					:      Tuple=0    ,     a					:      Union[str, Any]=2    ,     a					:      Tuple="absolute"    ,     a					:      str=True    ,     a					:      Tuple=None    ,     **a					:      Optional[int]    ,     ):






							'''simple docstring'''







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

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







class      A__							(     _a	):






				@property
				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







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



import random
from typing import Any



def 				UpperCamelCase_(      lowerCamelCase_ )    ->						list[Any]:
    for _ in range(len(lowerCamelCase_ ) ):
        _lowercase       :							Optional[int]      		=		random.randint(0							, len(lowerCamelCase_ ) - 1 )
        _lowercase       :							str      		=		random.randint(0							, len(lowerCamelCase_ ) - 1 )
        _lowercase		,				_lowercase       :							Optional[int]      		=		data[b], data[a]
    return data


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE       :      str												= [0, 1, 2, 3, 4, 5, 6, 7]
 SCREAMING_SNAKE_CASE       :      int												= ["python", "says", "hello", "!"]
 print("Fisher-Yates Shuffle:")
 print("List", integers, strings)
 print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))


