
"""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


UpperCamelCase_       :    Tuple						      =			logging.get_logger(__name__)

UpperCamelCase_       :    Any						      =			{
    """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					(       snake_case__   ):




			"""simple docstring"""







			snake_case						   =					'deberta-v2'




			def __init__(					self    :       Any							, _snake_case    :       Dict=128_100							, _snake_case    :       List[Any]=1_536							, _snake_case    :       Union[str, Any]=24							, _snake_case    :       Union[str, Any]=24							, _snake_case    :       Optional[int]=6_144							, _snake_case    :       Any="gelu"							, _snake_case    :       int=0.1							, _snake_case    :       str=0.1							, _snake_case    :       Optional[int]=512							, _snake_case    :       str=0							, _snake_case    :       Union[str, Any]=0.0_2							, _snake_case    :       List[str]=1e-7							, _snake_case    :       Dict=False							, _snake_case    :       List[Any]=-1							, _snake_case    :       Union[str, Any]=0							, _snake_case    :       Optional[int]=True							, _snake_case    :       Optional[int]=None							, _snake_case    :       Tuple=0							, _snake_case    :       Tuple="gelu"							, **_snake_case    :       Optional[int]							, )   ->			List[Any]:







								"""simple docstring"""
								super().__init__(**_snake_case						)

								A_								=    hidden_size
								A_								=    num_hidden_layers
								A_								=    num_attention_heads
								A_								=    intermediate_size
								A_								=    hidden_act
								A_								=    hidden_dropout_prob
								A_								=    attention_probs_dropout_prob
								A_								=    max_position_embeddings
								A_								=    type_vocab_size
								A_								=    initializer_range
								A_								=    relative_attention
								A_								=    max_relative_positions
								A_								=    pad_token_id
								A_								=    position_biased_input

								# Backwards compatibility
								if type(_snake_case						) == str:
													A_								=    [x.strip() for x in pos_att_type.lower().split("|"						)]

								A_								=    pos_att_type
								A_								=    vocab_size
								A_								=    layer_norm_eps

								A_								=    kwargs.get("pooler_hidden_size"							, _snake_case						)
								A_								=    pooler_dropout
								A_								=    pooler_hidden_act





class __lowerCAmelCase					(       snake_case__   ):




			"""simple docstring"""







			@property
			def   lowerCamelCase__  (					self    :       Optional[int]						)   ->			Any:







								"""simple docstring"""
								if self.task == "multiple-choice":
													A_								=    {0: 'batch', 1: 'choice', 2: 'sequence'}
								else:
													A_								=    {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   lowerCamelCase__  (					self    :       List[Any]						)   ->			Optional[Any]:







								"""simple docstring"""
								return 12






			def   lowerCamelCase__  (					self    :       Tuple							, _snake_case    :       Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]							, _snake_case    :       int = -1							, _snake_case    :       int = -1							, _snake_case    :       int = -1							, _snake_case    :       bool = False							, _snake_case    :       Optional["TensorType"] = None							, _snake_case    :       int = 3							, _snake_case    :       int = 40							, _snake_case    :       int = 40							, _snake_case    :       "PreTrainedTokenizerBase" = None							, )   ->			Tuple:







								"""simple docstring"""
								A_								=    super().generate_dummy_inputs(preprocessor=_snake_case							, framework=_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











def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):
		if number < 0 or shift_amount < 0:
				raise ValueError('both inputs must be positive integers'						)

		lowerCamelCase_	:     int 						=      str(bin(lowerCAmelCase__						)						)
		binary_number += "0" * shift_amount
		return binary_number


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):
		if number < 0 or shift_amount < 0:
				raise ValueError('both inputs must be positive integers'						)

		lowerCamelCase_	:     Union[str, Any] 						=      str(bin(lowerCAmelCase__						)						)[2:]
		if shift_amount >= len(lowerCAmelCase__						):
				return "0b0"
		lowerCamelCase_	:     List[str] 						=      binary_number[: len(lowerCAmelCase__						) - shift_amount]
		return "0b" + shifted_binary_number


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):
		if number >= 0:  # Get binary representation of positive number
				lowerCamelCase_	:     List[Any] 						=      '0' + str(bin(lowerCAmelCase__						)						).strip('-'						)[2:]
		else:  # Get binary (2's complement) representation of negative number
				lowerCamelCase_	:     Any 						=      len(bin(lowerCAmelCase__						)[3:]						)  # Find 2's complement of number
				lowerCamelCase_	:     List[str] 						=      bin(abs(lowerCAmelCase__						) - (1 << binary_number_length)						)[3:]
				lowerCamelCase_	:     List[str] 						=      (
				    '1' + '0' * (binary_number_length - len(lowerCAmelCase__						)) + binary_number
				)

		if shift_amount >= len(lowerCAmelCase__						):
				return "0b" + binary_number[0] * len(lowerCAmelCase__						)
		return (
		    "0b"
		    + binary_number[0] * shift_amount
		    + binary_number[: len(lowerCAmelCase__						) - shift_amount]
		)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
