
'''simple docstring'''


from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
	from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


__SCREAMING_SNAKE_CASE						=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE						=      {
    "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/config.json",
    "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/config.json",
    "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json",
    "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json",
    "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json",
    "microsoft/deberta-xlarge-mnli": "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json",
}




class     __snake_case			(    _a	):
		a_          =					"deberta"




		def __init__(  self					:Optional[int]			,    _SCREAMING_SNAKE_CASE					:Union[str, Any]=5_0_2_6_5			,    _SCREAMING_SNAKE_CASE					:List[Any]=7_6_8			,    _SCREAMING_SNAKE_CASE					:Optional[Any]=1_2			,    _SCREAMING_SNAKE_CASE					:Union[str, Any]=1_2			,    _SCREAMING_SNAKE_CASE					:Tuple=3_0_7_2			,    _SCREAMING_SNAKE_CASE					:Optional[int]="gelu"			,    _SCREAMING_SNAKE_CASE					:int=0.1			,    _SCREAMING_SNAKE_CASE					:Dict=0.1			,    _SCREAMING_SNAKE_CASE					:Tuple=5_1_2			,    _SCREAMING_SNAKE_CASE					:Any=0			,    _SCREAMING_SNAKE_CASE					:Optional[int]=0.02			,    _SCREAMING_SNAKE_CASE					:List[Any]=1E-7			,    _SCREAMING_SNAKE_CASE					:List[Any]=False			,    _SCREAMING_SNAKE_CASE					:Any=-1			,    _SCREAMING_SNAKE_CASE					:Optional[Any]=0			,    _SCREAMING_SNAKE_CASE					:Tuple=True			,    _SCREAMING_SNAKE_CASE					:List[Any]=None			,    _SCREAMING_SNAKE_CASE					:Optional[Any]=0			,    _SCREAMING_SNAKE_CASE					:Dict="gelu"			,    **_SCREAMING_SNAKE_CASE					:Any			,    )					->			Optional[Any]:






								'''simple docstring'''






								super().__init__(**_SCREAMING_SNAKE_CASE)

								UpperCamelCase_     :	Optional[Any]					     =     hidden_size
								UpperCamelCase_     :	Dict					     =     num_hidden_layers
								UpperCamelCase_     :	Optional[int]					     =     num_attention_heads
								UpperCamelCase_     :	List[Any]					     =     intermediate_size
								UpperCamelCase_     :	Tuple					     =     hidden_act
								UpperCamelCase_     :	List[Any]					     =     hidden_dropout_prob
								UpperCamelCase_     :	List[Any]					     =     attention_probs_dropout_prob
								UpperCamelCase_     :	List[str]					     =     max_position_embeddings
								UpperCamelCase_     :	Any					     =     type_vocab_size
								UpperCamelCase_     :	int					     =     initializer_range
								UpperCamelCase_     :	Tuple					     =     relative_attention
								UpperCamelCase_     :	List[str]					     =     max_relative_positions
								UpperCamelCase_     :	Optional[Any]					     =     pad_token_id
								UpperCamelCase_     :	List[Any]					     =     position_biased_input

								# Backwards compatibility
								if type(_SCREAMING_SNAKE_CASE) == str:
														UpperCamelCase_     :	Optional[Any]					     =     [x.strip() for x in pos_att_type.lower().split("""|""")]

								UpperCamelCase_     :	int					     =     pos_att_type
								UpperCamelCase_     :	Any					     =     vocab_size
								UpperCamelCase_     :	Optional[int]					     =     layer_norm_eps

								UpperCamelCase_     :	Any					     =     kwargs.get("""pooler_hidden_size"""			,    _SCREAMING_SNAKE_CASE)
								UpperCamelCase_     :	str					     =     pooler_dropout
								UpperCamelCase_     :	Dict					     =     pooler_hidden_act







class     __snake_case			(    _a	):




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






								'''simple docstring'''






								if self.task == "multiple-choice":
														UpperCamelCase_     :	Tuple					     =     {0: """batch""", 1: """choice""", 2: """sequence"""}
								else:
														UpperCamelCase_     :	Any					     =     {0: """batch""", 1: """sequence"""}
								if self._config.type_vocab_size > 0:
														return OrderedDict(
														    [("""input_ids""", dynamic_axis), ("""attention_mask""", dynamic_axis), ("""token_type_ids""", dynamic_axis)])
								else:
														return OrderedDict([("""input_ids""", dynamic_axis), ("""attention_mask""", dynamic_axis)])




		@property
		def 	_snake_case	(  self					:Dict)					->			int:






								'''simple docstring'''






								return 1_2





		def 	_snake_case	(  self					:Tuple			,    _SCREAMING_SNAKE_CASE					:Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]			,    _SCREAMING_SNAKE_CASE					:int = -1			,    _SCREAMING_SNAKE_CASE					:int = -1			,    _SCREAMING_SNAKE_CASE					:int = -1			,    _SCREAMING_SNAKE_CASE					:bool = False			,    _SCREAMING_SNAKE_CASE					:Optional["TensorType"] = None			,    _SCREAMING_SNAKE_CASE					:int = 3			,    _SCREAMING_SNAKE_CASE					:int = 4_0			,    _SCREAMING_SNAKE_CASE					:int = 4_0			,    _SCREAMING_SNAKE_CASE					:"PreTrainedTokenizerBase" = None			,    )					->			Mapping[str, Any]:






								'''simple docstring'''






								UpperCamelCase_     :	List[str]					     =     super().generate_dummy_inputs(preprocessor=_SCREAMING_SNAKE_CASE			,    framework=_SCREAMING_SNAKE_CASE)
								if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
														del dummy_inputs["token_type_ids"]
								return dummy_inputs






'''simple docstring'''


__SCREAMING_SNAKE_CASE						=      {hex(i)[2:]: i for i in range(16)}  # Use [:2] to strip off the leading '0x'
def 					__magic_name__(       UpperCAmelCase__ :       str	):
						UpperCamelCase_     :	str					     =     hex_string.strip().lower()
						if not hex_string:
												raise ValueError("""Empty string was passed to the function"""	)
						UpperCamelCase_     :	Dict					     =     hex_string[0] == """-"""
						if is_negative:
												UpperCamelCase_     :	List[str]					     =     hex_string[1:]
						if not all(char in hex_table for char in hex_string	):
												raise ValueError("""Non-hexadecimal value was passed to the function"""	)
						UpperCamelCase_     :	int					     =     0
						for char in hex_string:
												UpperCamelCase_     :	Any					     =     16 * decimal_number + hex_table[char]
						return -decimal_number if is_negative else decimal_number


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

	testmod()




