





from collections import OrderedDict
from typing import Mapping

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


__lowerCamelCase			:	Dict					    =	logging.get_logger(__name__)

__lowerCamelCase			:	List[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__  (			__snake_case     ):
      _UpperCAmelCase      :str		       =  'xlm-roberta'





      def __init__(					self			,				A_=3_0522			,				A_=768			,				A_=12			,				A_=12			,				A_=3072			,				A_="gelu"			,				A_=0.1			,				A_=0.1			,				A_=512			,				A_=2			,				A_=0.02			,				A_=1e-12			,				A_=1			,				A_=0			,				A_=2			,				A_="absolute"			,				A_=True			,				A_=None			,				**A_			,				):
       '''simple docstring'''




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

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



class    A__  (			__snake_case     ):





      @property
      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




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







__lowerCamelCase			:	str					    =	6_5521



def 						A_							(	_lowerCAmelCase	)		->					int:
 UpperCamelCase      :   Any			      =  1
 UpperCamelCase      :   str			      =  0
 for plain_chr in plain_text:
  UpperCamelCase      :   List[Any]			      =  (a + ord(_lowerCAmelCase	)) % MOD_ADLER
  UpperCamelCase      :   List[Any]			      =  (b + a) % MOD_ADLER
 return (b << 16) | a
