



"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


__snake_case							:     Union[str, Any]   =					logging.get_logger(__name__)

__snake_case							:     Tuple   =					{
    'facebook/xmod-base': 'https://huggingface.co/facebook/xmod-base/resolve/main/config.json',
    'facebook/xmod-large-prenorm': 'https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json',
    'facebook/xmod-base-13-125k': 'https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json',
    'facebook/xmod-base-30-125k': 'https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json',
    'facebook/xmod-base-30-195k': 'https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json',
    'facebook/xmod-base-60-125k': 'https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json',
    'facebook/xmod-base-60-265k': 'https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json',
    'facebook/xmod-base-75-125k': 'https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json',
    'facebook/xmod-base-75-269k': 'https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json',
}



class     A__     (						_a							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE					   =			'xmod'

	def __init__(  self:	Union[str, Any] ,    _SCREAMING_SNAKE_CASE:	List[str]=3_0522 ,    _SCREAMING_SNAKE_CASE:	List[str]=768 ,    _SCREAMING_SNAKE_CASE:	Optional[int]=12 ,    _SCREAMING_SNAKE_CASE:	List[Any]=12 ,    _SCREAMING_SNAKE_CASE:	List[Any]=3072 ,    _SCREAMING_SNAKE_CASE:	Optional[Any]="gelu" ,    _SCREAMING_SNAKE_CASE:	Dict=0.1 ,    _SCREAMING_SNAKE_CASE:	Optional[Any]=0.1 ,    _SCREAMING_SNAKE_CASE:	Any=512 ,    _SCREAMING_SNAKE_CASE:	List[Any]=2 ,    _SCREAMING_SNAKE_CASE:	Dict=0.02 ,    _SCREAMING_SNAKE_CASE:	List[Any]=1e-12 ,    _SCREAMING_SNAKE_CASE:	Any=1 ,    _SCREAMING_SNAKE_CASE:	Optional[Any]=0 ,    _SCREAMING_SNAKE_CASE:	Optional[Any]=2 ,    _SCREAMING_SNAKE_CASE:	int="absolute" ,    _SCREAMING_SNAKE_CASE:	int=True ,    _SCREAMING_SNAKE_CASE:	List[str]=None ,    _SCREAMING_SNAKE_CASE:	Optional[int]=False ,    _SCREAMING_SNAKE_CASE:	Tuple=2 ,    _SCREAMING_SNAKE_CASE:	Union[str, Any]=False ,    _SCREAMING_SNAKE_CASE:	List[Any]=True ,    _SCREAMING_SNAKE_CASE:	Dict=True ,    _SCREAMING_SNAKE_CASE:	str=("en_XX",) ,    _SCREAMING_SNAKE_CASE:	int=None ,    **_SCREAMING_SNAKE_CASE:	Dict ,    )       -> Tuple:

				"""simple docstring"""

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

				__lowerCAmelCase   :						int				= vocab_size
				__lowerCAmelCase   :						Any				= hidden_size
				__lowerCAmelCase   :						List[str]				= num_hidden_layers
				__lowerCAmelCase   :						int				= num_attention_heads
				__lowerCAmelCase   :						List[Any]				= hidden_act
				__lowerCAmelCase   :						Optional[int]				= intermediate_size
				__lowerCAmelCase   :						int				= hidden_dropout_prob
				__lowerCAmelCase   :						Dict				= attention_probs_dropout_prob
				__lowerCAmelCase   :						Optional[int]				= max_position_embeddings
				__lowerCAmelCase   :						List[str]				= type_vocab_size
				__lowerCAmelCase   :						List[Any]				= initializer_range
				__lowerCAmelCase   :						Dict				= layer_norm_eps
				__lowerCAmelCase   :						str				= position_embedding_type
				__lowerCAmelCase   :						str				= use_cache
				__lowerCAmelCase   :						str				= classifier_dropout
				__lowerCAmelCase   :						List[Any]				= pre_norm
				__lowerCAmelCase   :						List[Any]				= adapter_reduction_factor
				__lowerCAmelCase   :						List[Any]				= adapter_layer_norm
				__lowerCAmelCase   :						List[str]				= adapter_reuse_layer_norm
				__lowerCAmelCase   :						List[Any]				= ln_before_adapter
				__lowerCAmelCase   :						Union[str, Any]				= list(_A)
				__lowerCAmelCase   :						List[Any]				= default_language






class     A__     (						_a							):




	'''simple docstring'''





	@property
	def 							_SCREAMING_SNAKE_CASE     (  self:	List[Any])       -> List[str]:

				"""simple docstring"""

				if self.task == "multiple-choice":
							__lowerCAmelCase   :						Union[str, 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),
				    ])




"""simple docstring"""






import math


def     _lowercase       (						__snake_case      ,__snake_case			)		->     float:
			return math.pow(__snake_case      ,2			) - a


def     _lowercase       (						__snake_case			)		->     float:
			return 2 * x


def     _lowercase       (						__snake_case			)		->     float:
			__lowerCAmelCase   :						List[str]				= 2.0

			while start <= a:
						__lowerCAmelCase   :						Union[str, Any]				= math.pow(__snake_case      ,2			)

			return start


def     _lowercase       (						__snake_case      ,__snake_case = 9_999      ,__snake_case = 0.00000000000001			)		->     float:

			if a < 0:
						raise ValueError("math domain error"			)

			__lowerCAmelCase   :						List[Any]				= get_initial_point(__snake_case			)

			for _ in range(__snake_case			):
						__lowerCAmelCase   :						Union[str, Any]				= value
						__lowerCAmelCase   :						List[str]				= value - fx(__snake_case      ,__snake_case			) / fx_derivative(__snake_case			)
						if abs(prev_value - value			) < tolerance:
									return value

			return value


if __name__ == "__main__":
	from doctest import testmod

	testmod()