def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       try:
              lowerCAmelCase__					     = float(lowerCAmelCase__     )
       except ValueError:
              raise ValueError('Please enter a valid number'     )
       lowerCAmelCase__					     = decimal - int(lowerCAmelCase__     )
       if fractional_part == 0:
              return int(lowerCAmelCase__     ), 1
       else:
              lowerCAmelCase__					     = len(str(lowerCAmelCase__     ).split('.'     )[1]     )
              lowerCAmelCase__					     = int(decimal * (1_0**number_of_frac_digits)     )
              lowerCAmelCase__					     = 1_0**number_of_frac_digits
              lowerCAmelCase__     , lowerCAmelCase__					     = denominator, numerator
              while True:
                     lowerCAmelCase__					     = dividend % divisor
                     if remainder == 0:
                            break
                     lowerCAmelCase__     , lowerCAmelCase__					     = divisor, remainder
              lowerCAmelCase__     , lowerCAmelCase__					     = numerator / divisor, denominator / divisor
              return int(lowerCAmelCase__     ), int(lowerCAmelCase__     )


if __name__ == "__main__":
    print(F'{decimal_to_fraction(2) = }')
    print(F'{decimal_to_fraction(89.0) = }')
    print(F'{decimal_to_fraction("67") = }')
    print(F'{decimal_to_fraction("45.0") = }')
    print(F'{decimal_to_fraction(1.5) = }')
    print(F'{decimal_to_fraction("6.25") = }')
    print(F'{decimal_to_fraction("78td") = }')

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__     						=			{
    '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     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_     			= 'xlm-roberta-xl'




 def __init__(      self :  int      ,   lowercase__ :  Optional[int]=250_880      ,   lowercase__ :  Union[str, Any]=2_560      ,   lowercase__ :  int=36      ,   lowercase__ :  int=32      ,   lowercase__ :  List[Any]=10_240      ,   lowercase__ :  Union[str, Any]="gelu"      ,   lowercase__ :  Dict=0.1      ,   lowercase__ :  Any=0.1      ,   lowercase__ :  Any=514      ,   lowercase__ :  Optional[int]=1      ,   lowercase__ :  Any=0.02      ,   lowercase__ :  List[str]=1e-05      ,   lowercase__ :  Dict=1      ,   lowercase__ :  Union[str, Any]=0      ,   lowercase__ :  Dict=2      ,   lowercase__ :  str="absolute"      ,   lowercase__ :  Dict=True      ,   lowercase__ :  List[Any]=None      ,   **lowercase__ :  Optional[Any]      ,   ):







        '''simple docstring'''



        super().__init__(pad_token_id=lowercase__      ,   bos_token_id=lowercase__      ,   eos_token_id=lowercase__      ,   **lowercase__)
        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     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 @property
 def 		__snake_case						(      self :  int):







        '''simple docstring'''



        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),
            ])
