


"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


A	:  List[Any]            =     logging.get_logger(__name__)

A	:  Union[str, Any]            =     {
    "facebook/xlm-roberta-xl": "https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json",
    "facebook/xlm-roberta-xxl": "https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}
class     _UpperCamelCase    (  lowerCAmelCase__						):
							'''simple docstring'''







							__UpperCAmelCase		:       List[str]							 ="""xlm-roberta-xl"""

							def __init__(	self       ,  __a=25_08_80       ,  __a=25_60       ,  __a=36       ,  __a=32       ,  __a=1_02_40       ,  __a="gelu"       ,  __a=0.1       ,  __a=0.1       ,  __a=5_14       ,  __a=1       ,  __a=0.0_2       ,  __a=1e-0_5       ,  __a=1       ,  __a=0       ,  __a=2       ,  __a="absolute"       ,  __a=True       ,  __a=None       ,  **__a       ,  ):
										super().__init__(pad_token_id=__a       ,  bos_token_id=__a       ,  eos_token_id=__a       ,  **__a      )
										__lowerCAmelCase							       =     vocab_size
										__lowerCAmelCase							       =     hidden_size
										__lowerCAmelCase							       =     num_hidden_layers
										__lowerCAmelCase							       =     num_attention_heads
										__lowerCAmelCase							       =     hidden_act
										__lowerCAmelCase							       =     intermediate_size
										__lowerCAmelCase							       =     hidden_dropout_prob
										__lowerCAmelCase							       =     attention_probs_dropout_prob
										__lowerCAmelCase							       =     max_position_embeddings
										__lowerCAmelCase							       =     type_vocab_size
										__lowerCAmelCase							       =     initializer_range
										__lowerCAmelCase							       =     layer_norm_eps
										__lowerCAmelCase							       =     position_embedding_type
										__lowerCAmelCase							       =     use_cache
										__lowerCAmelCase							       =     classifier_dropout
class     _UpperCamelCase    (  lowerCAmelCase__						):
							'''simple docstring'''







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








"""simple docstring"""


import baseaa


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			return baseaa.baaencode(string.encode("utf-8" ) )


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			return baseaa.baadecode(_UpperCamelCase ).decode("utf-8" )


if __name__ == "__main__":
	A	:  List[str]            =     "Hello World!"
	A	:  Any            =     baseaa_encode(test)
	print(encoded)

	A	:  List[Any]            =     baseaa_decode(encoded)
	print(decoded)




