

'''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


__snake_case			:     Dict										=      logging.get_logger(__name__)

__snake_case			:     str										=      {
    '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			(  lowercase_						):



			'''simple docstring'''






			__snake_case        =	'deberta-v2'


			def __init__(				self	:						Any		,      lowerCAmelCase_	:						Tuple=12_81_00		,      lowerCAmelCase_	:						List[Any]=15_36		,      lowerCAmelCase_	:						Any=24		,      lowerCAmelCase_	:						List[str]=24		,      lowerCAmelCase_	:						List[Any]=61_44		,      lowerCAmelCase_	:						Tuple="gelu"		,      lowerCAmelCase_	:						Optional[Any]=0.1		,      lowerCAmelCase_	:						int=0.1		,      lowerCAmelCase_	:						Dict=5_12		,      lowerCAmelCase_	:						Dict=0		,      lowerCAmelCase_	:						str=0.02		,      lowerCAmelCase_	:						Union[str, Any]=1e-7		,      lowerCAmelCase_	:						List[Any]=False		,      lowerCAmelCase_	:						List[Any]=-1		,      lowerCAmelCase_	:						int=0		,      lowerCAmelCase_	:						List[Any]=True		,      lowerCAmelCase_	:						Dict=None		,      lowerCAmelCase_	:						Union[str, Any]=0		,      lowerCAmelCase_	:						Dict="gelu"		,      **lowerCAmelCase_	:						List[str]		,      )      ->		List[str]:





									'''simple docstring'''
									super().__init__(**lowerCAmelCase_			)

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

									# Backwards compatibility
									if type(lowerCAmelCase_			) == str:
															A__					:       Optional[int]     =[x.strip() for x in pos_att_type.lower().split("""|"""			)]

									A__					:       str     =pos_att_type
									A__					:       Optional[Any]     =vocab_size
									A__					:       Optional[Any]     =layer_norm_eps

									A__					:       int     =kwargs.get("""pooler_hidden_size"""		,      lowerCAmelCase_			)
									A__					:       Tuple     =pooler_dropout
									A__					:       Any     =pooler_hidden_act



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			@property
			def lowercase__						(				self	:						Optional[int]			)      ->		Mapping[str, Mapping[int, str]]:





									'''simple docstring'''
									if self.task == "multiple-choice":
															A__					:       Any     ={0: """batch""", 1: """choice""", 2: """sequence"""}
									else:
															A__					:       List[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 lowercase__						(				self	:						Tuple			)      ->		int:





									'''simple docstring'''
									return 12



			def lowercase__						(				self	:						Optional[Any]		,      lowerCAmelCase_	:						Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]		,      lowerCAmelCase_	:						int = -1		,      lowerCAmelCase_	:						int = -1		,      lowerCAmelCase_	:						int = -1		,      lowerCAmelCase_	:						bool = False		,      lowerCAmelCase_	:						Optional["TensorType"] = None		,      lowerCAmelCase_	:						int = 3		,      lowerCAmelCase_	:						int = 40		,      lowerCAmelCase_	:						int = 40		,      lowerCAmelCase_	:						"PreTrainedTokenizerBase" = None		,      )      ->		Mapping[str, Any]:





									'''simple docstring'''
									A__					:       List[Any]     =super().generate_dummy_inputs(preprocessor=lowerCAmelCase_		,      framework=lowerCAmelCase_			)
									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'''



from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def 						__lowerCamelCase	(       __snake_case					:		int	)	->							int:






						"""simple docstring"""





						A__					:       List[Any]     =prime_factors(__snake_case	)
						if is_square_free(__snake_case	):
												return -1 if len(__snake_case	) % 2 else 1
						return 0


if __name__ == "__main__":
		import doctest

		doctest.testmod()

