


from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_					:   Dict 							=						logging.get_logger(__name__)

UpperCAmelCase_					:   Tuple 							=						{
    """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__    (							lowercase__  ):
  __UpperCamelCase	     =  'xlm-roberta'







  def __init__(	self    ,						_lowercase=30_522    ,						_lowercase=768    ,						_lowercase=12    ,						_lowercase=12    ,						_lowercase=3_072    ,						_lowercase="gelu"    ,						_lowercase=0.1    ,						_lowercase=0.1    ,						_lowercase=512    ,						_lowercase=2    ,						_lowercase=0.02    ,						_lowercase=1e-12    ,						_lowercase=1    ,						_lowercase=0    ,						_lowercase=2    ,						_lowercase="absolute"    ,						_lowercase=True    ,						_lowercase=None    ,						**_lowercase    ,						):
       super().__init__(pad_token_id=_lowercase    ,						bos_token_id=_lowercase    ,						eos_token_id=_lowercase    ,						**_lowercase						)

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





class      lowercase__    (							lowercase__  ):







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







from __future__ import annotations






def 							_lowerCAmelCase (  _a   :					list[int]			)	->			list[int]:  # This function is recursive
     lowerCAmelCase_					:       List[Any]    =		len(_a			)
     # If the array contains only one element, we return it (it's the stop condition of
     # recursion)
     if array_length <= 1:
          return array
          # Else
     lowerCAmelCase_					:       Union[str, Any]    =		array[0]
     lowerCAmelCase_					:       str    =		False
     lowerCAmelCase_					:       Optional[int]    =		1
     lowerCAmelCase_					:       list[int]    =		[]
     while not is_found and i < array_length:
          if array[i] < pivot:
               lowerCAmelCase_					:       Optional[Any]    =		True
               lowerCAmelCase_					:       Tuple    =		[element for element in array[i:] if element >= array[i]]
               lowerCAmelCase_					:       Any    =		longest_subsequence(_a			)
               if len(_a			) > len(_a			):
                    lowerCAmelCase_					:       List[Any]    =		temp_array
          else:
               i += 1

     lowerCAmelCase_					:       Tuple    =		[element for element in array[1:] if element >= pivot]
     lowerCAmelCase_					:       List[Any]    =		[pivot, *longest_subsequence(_a			)]
     if len(_a			) > len(_a			):
          return temp_array
     else:
          return longest_subseq


if __name__ == "__main__":
      import doctest

      doctest.testmod()
