




"""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


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    'microsoft/deberta-v2-xlarge': 'https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json',
    'microsoft/deberta-v2-xxlarge': 'https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json',
    'microsoft/deberta-v2-xlarge-mnli': (
        'https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'
    ),
    'microsoft/deberta-v2-xxlarge-mnli': (
        'https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'
    ),
}






class lowerCAmelCase__			(  UpperCamelCase_		):






			'''simple docstring'''



			lowerCamelCase__   =    """deberta-v2"""
			def __init__(						self						,   lowercase=128100						,   lowercase=1536						,   lowercase=24						,   lowercase=24						,   lowercase=6144						,   lowercase="gelu"						,   lowercase=0.1						,   lowercase=0.1						,   lowercase=512						,   lowercase=0						,   lowercase=0.02						,   lowercase=1E-7						,   lowercase=False						,   lowercase=-1						,   lowercase=0						,   lowercase=True						,   lowercase=None						,   lowercase=0						,   lowercase="gelu"						,   **lowercase						,   ):
							super().__init__(**UpperCamelCase__						)

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

							# Backwards compatibility
							if type(UpperCamelCase__						) == str:
											_lowerCamelCase  :    Optional[int]					=					[x.strip() for x in pos_att_type.lower().split('|'						)]

							_lowerCamelCase  :    Any					=					pos_att_type
							_lowerCamelCase  :    int					=					vocab_size
							_lowerCamelCase  :    Dict					=					layer_norm_eps

							_lowerCamelCase  :    Tuple					=					kwargs.get('pooler_hidden_size'						,   UpperCamelCase__						)
							_lowerCamelCase  :    Any					=					pooler_dropout
							_lowerCamelCase  :    Union[str, Any]					=					pooler_hidden_act






class lowerCAmelCase__			(  UpperCamelCase_		):






			'''simple docstring'''



			@property
			def       A_					(						self						):





							if self.task == "multiple-choice":
											_lowerCamelCase  :    Optional[int]					=					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
							else:
											_lowerCamelCase  :    Optional[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       A_					(						self						):
							return 12






			def       A_					(						self						,   lowercase						,   lowercase = -1						,   lowercase = -1						,   lowercase = -1						,   lowercase = False						,   lowercase = None						,   lowercase = 3						,   lowercase = 40						,   lowercase = 40						,   lowercase = None						,   ):
							_lowerCamelCase  :    Optional[Any]					=					super().generate_dummy_inputs(preprocessor=UpperCamelCase__						,   framework=UpperCamelCase__						)
							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"""






def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    Optional[int]					=					int(lowercase__	)
				if decimal in (0, 1):  # Exit cases for the recursion
								return str(lowercase__	)
				_lowerCamelCase,				_lowerCamelCase  :    Dict					=					divmod(lowercase__							,					2	)
				return binary_recursive(lowercase__	) + str(lowercase__	)







def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    List[Any]					=					str(lowercase__	).strip()
				if not number:
								raise ValueError('No input value was provided'	)
				_lowerCamelCase  :    str					=					'-' if number.startswith('-'	) else ''
				_lowerCamelCase  :    Union[str, Any]					=					number.lstrip('-'	)
				if not number.isnumeric():
								raise ValueError('Input value is not an integer'	)
				return f'''{negative}0b{binary_recursive(int(lowercase__	)	)}'''


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

			testmod()