



from collections import OrderedDict
from typing import Mapping

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


a__    =	logging.get_logger(__name__)

a__    =	{
    """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 		snake_case						(	SCREAMING_SNAKE_CASE_  ):



			'''simple docstring'''






			snake_case_					: List[Any]          =		"""xlm-roberta-xl"""

			def __init__(					self							:			Any				,		lowerCAmelCase							:			Optional[int]=25_0880				,		lowerCAmelCase							:			int=2560				,		lowerCAmelCase							:			Optional[Any]=36				,		lowerCAmelCase							:			List[Any]=32				,		lowerCAmelCase							:			Optional[int]=1_0240				,		lowerCAmelCase							:			Optional[Any]="gelu"				,		lowerCAmelCase							:			Tuple=0.1				,		lowerCAmelCase							:			Dict=0.1				,		lowerCAmelCase							:			str=514				,		lowerCAmelCase							:			List[Any]=1				,		lowerCAmelCase							:			Dict=0.02				,		lowerCAmelCase							:			Tuple=1E-05				,		lowerCAmelCase							:			Union[str, Any]=1				,		lowerCAmelCase							:			Union[str, Any]=0				,		lowerCAmelCase							:			int=2				,		lowerCAmelCase							:			Optional[int]="absolute"				,		lowerCAmelCase							:			str=True				,		lowerCAmelCase							:			Optional[Any]=None				,		**lowerCAmelCase							:			Tuple				,		)				->				Any:

				"""simple docstring"""







				super().__init__(pad_token_id=_UpperCAmelCase				,		bos_token_id=_UpperCAmelCase				,		eos_token_id=_UpperCAmelCase				,		**_UpperCAmelCase)
				_snake_case    :  Tuple					=					vocab_size
				_snake_case    :  Optional[Any]					=					hidden_size
				_snake_case    :  Optional[int]					=					num_hidden_layers
				_snake_case    :  List[str]					=					num_attention_heads
				_snake_case    :  Union[str, Any]					=					hidden_act
				_snake_case    :  str					=					intermediate_size
				_snake_case    :  Union[str, Any]					=					hidden_dropout_prob
				_snake_case    :  Union[str, Any]					=					attention_probs_dropout_prob
				_snake_case    :  str					=					max_position_embeddings
				_snake_case    :  List[Any]					=					type_vocab_size
				_snake_case    :  Optional[int]					=					initializer_range
				_snake_case    :  Dict					=					layer_norm_eps
				_snake_case    :  Optional[int]					=					position_embedding_type
				_snake_case    :  str					=					use_cache
				_snake_case    :  Union[str, Any]					=					classifier_dropout







class 		snake_case						(	SCREAMING_SNAKE_CASE_  ):



			'''simple docstring'''






			@property
			def      UpperCamelCase_  (					self							:			Any)				->				Mapping[str, Mapping[int, str]]:

				"""simple docstring"""







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





from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
a__    =	1.0_54_57_18_17E-34  # unit of ℏ : J * s

a__    =	3E8  # unit of c : m * s^-1



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float				)  ->     dict[str, float]:

 if (force, area, distance).count(0				) != 1:
  raise ValueError("""One and only one argument must be 0"""				)
 if force < 0:
  raise ValueError("""Magnitude of force can not be negative"""				)
 if distance < 0:
  raise ValueError("""Distance can not be negative"""				)
 if area < 0:
  raise ValueError("""Area can not be negative"""				)
 if force == 0:
  _snake_case    :  Union[str, Any]					=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
      240 * (distance) ** 4
  )
  return {"force": force}
 elif area == 0:
  _snake_case    :  Optional[Any]					=					(240 * force * (distance) ** 4) / (
      REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
  )
  return {"area": area}
 elif distance == 0:
  _snake_case    :  str					=					(
      (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
  ) ** (1 / 4)
  return {"distance": distance}
 raise ValueError("""One and only one argument must be 0"""				)


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()
