


"""simple docstring"""







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       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       a  :				Any   ="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__		,     ):






         """simple docstring"""





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

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


class       SCREAMING_SNAKE_CASE__				(		lowercase				):
       """simple docstring"""


       @property
       def        lowercase__							(						self						):






         """simple docstring"""





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







def 				a						(							snake_case__:					int = 100					):


				'''simple docstring'''
				lowercase_       =					(n * (n + 1) // 2) ** 2
				lowercase_       =					n * (n + 1) * (2 * n + 1) // 6
				return sum_cubes - sum_squares


if __name__ == "__main__":
						print(f"{solution() = }")




