from collections import OrderedDict
from typing import Mapping

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


__lowercase										= logging.get_logger(__name__)

__lowercase										= {
    '''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      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






    a__     :						Dict      =				"""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-1_2			,			__lowercase=1			,			__lowercase=0			,			__lowercase=2			,			__lowercase="absolute"			,			__lowercase=True			,			__lowercase=None			,			**__lowercase			,			)	->     Tuple:
        super().__init__(pad_token_id=__lowercase			,			bos_token_id=__lowercase			,			eos_token_id=__lowercase			,			**__lowercase)

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


class      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






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






from __future__ import annotations



def lowerCamelCase  (       SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE  ,      SCREAMING_SNAKE_CASE  ,      ):
    '''simple docstring'''







    if (stress, tangential_force, area).count(0     ) != 1:
        raise ValueError('''You cannot supply more or less than 2 values'''     )
    elif stress < 0:
        raise ValueError('''Stress cannot be negative'''     )
    elif tangential_force < 0:
        raise ValueError('''Tangential Force cannot be negative'''     )
    elif area < 0:
        raise ValueError('''Area cannot be negative'''     )
    elif stress == 0:
        return (
            "stress",
            tangential_force / area,
        )
    elif tangential_force == 0:
        return (
            "tangential_force",
            stress * area,
        )
    else:
        return (
            "area",
            tangential_force / stress,
        )


if __name__ == "__main__":
    import doctest

    doctest.testmod()





