


"""simple docstring"""







from string import ascii_uppercase

lowerCamelCase_       :       Dict      						=  {str(ord(c) - 5_5): c for c in ascii_uppercase}
def _A						(						lowercase	,   lowercase		):







    """simple docstring"""
    if isinstance(lowercase	,   lowercase		):
        raise TypeError('''int() can\'t convert non-string with explicit base'''		)
    if num < 0:
        raise ValueError('''parameter must be positive int'''		)
    if isinstance(lowercase	,   lowercase		):
        raise TypeError('''\'str\' object cannot be interpreted as an integer'''		)
    if isinstance(lowercase	,   lowercase		):
        raise TypeError('''\'float\' object cannot be interpreted as an integer'''		)
    if base in (0, 1):
        raise ValueError('''base must be >= 2'''		)
    if base > 36:
        raise ValueError('''base must be <= 36'''		)
    a					=''''''
    a					=0
    a					=0
    while div != 1:
        a		,				a					=divmod(lowercase	,   lowercase		)
        if base >= 11 and 9 < mod < 36:
            a					=ALPHABET_VALUES[str(lowercase		)]
        else:
            a					=str(lowercase		)
        new_value += actual_value
        a					=num // base
        a					=div
        if div == 0:
            return str(new_value[::-1]		)
        elif div == 1:
            new_value += str(lowercase		)
            return str(new_value[::-1]		)

    return new_value[::-1]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       for base in range(2, 3_7):
              for num in range(1_0_0_0):
                     assert int(decimal_to_any(num, base), base) == num, (
                         num,
                         base,
                         decimal_to_any(num, base),
                         int(decimal_to_any(num, base), base),
                     )



"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase_       :       str      						=  logging.get_logger(__name__)

lowerCamelCase_       :       Optional[int]      						=  {
    """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    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 __lowerCAmelCase			 =  "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-1_2			,   __A=1			,   __A=0			,   __A=2			,   __A="absolute"			,   __A=True			,   __A=None			,   **__A			,   ) ->					str:
     super().__init__(pad_token_id=__A			,   bos_token_id=__A			,   eos_token_id=__A			,   **__A						)

     a					=vocab_size
     a					=hidden_size
     a					=num_hidden_layers
     a					=num_attention_heads
     a					=hidden_act
     a					=intermediate_size
     a					=hidden_dropout_prob
     a					=attention_probs_dropout_prob
     a					=max_position_embeddings
     a					=type_vocab_size
     a					=initializer_range
     a					=layer_norm_eps
     a					=position_embedding_type
     a					=use_cache
     a					=classifier_dropout






class 				__A    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 @property
 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         a					={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
     else:
         a					={0: '''batch''', 1: '''sequence'''}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
         ]						)