




"""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


a								=							logging.get_logger(__name__)

a								=							{
    '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  SCREAMING_SNAKE_CASE__   (   _a   ):
						_a        =  'deberta'


						def __init__(							self			:     Optional[int]  ,  lowerCAmelCase			:     Union[str, Any]=5_0265  ,  lowerCAmelCase			:     Dict=768  ,  lowerCAmelCase			:     Any=12  ,  lowerCAmelCase			:     Tuple=12  ,  lowerCAmelCase			:     str=3072  ,  lowerCAmelCase			:     List[str]="gelu"  ,  lowerCAmelCase			:     int=0.1  ,  lowerCAmelCase			:     List[str]=0.1  ,  lowerCAmelCase			:     List[str]=512  ,  lowerCAmelCase			:     int=0  ,  lowerCAmelCase			:     Optional[Any]=0.02  ,  lowerCAmelCase			:     Any=1e-7  ,  lowerCAmelCase			:     List[str]=False  ,  lowerCAmelCase			:     int=-1  ,  lowerCAmelCase			:     Dict=0  ,  lowerCAmelCase			:     List[Any]=True  ,  lowerCAmelCase			:     List[Any]=None  ,  lowerCAmelCase			:     List[str]=0  ,  lowerCAmelCase			:     Any="gelu"  ,  **lowerCAmelCase			:     List[Any]  ,  ):
										super().__init__(**lowerCAmelCase   )

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

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

										lowerCAmelCase		=			pos_att_type
										lowerCAmelCase		=			vocab_size
										lowerCAmelCase		=			layer_norm_eps

										lowerCAmelCase		=			kwargs.get("""pooler_hidden_size"""  ,  lowerCAmelCase   )
										lowerCAmelCase		=			pooler_dropout
										lowerCAmelCase		=			pooler_hidden_act






class  SCREAMING_SNAKE_CASE__   (   _a   ):


						@property
						def 					__lowercase	(							self			:     Tuple   ):
										if self.task == "multiple-choice":
														lowerCAmelCase		=			{0: """batch""", 1: """choice""", 2: """sequence"""}
										else:
														lowerCAmelCase		=			{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			:     str   ):
										return 12




						def 					__lowercase	(							self			:     List[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  ,  ):
										lowerCAmelCase		=			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"""







def 							lowercase   (snake_case__				:	int	)       ->					int:


				'''simple docstring'''






				barcode //= 10  # exclude the last digit
				lowerCAmelCase		=			False
				lowerCAmelCase		=			0

				# extract and check each digit
				while barcode != 0:
								lowerCAmelCase		=			1 if checker else 3
								s += mult * (barcode % 10)
								barcode //= 10
								lowerCAmelCase		=			not checker

				return (10 - (s % 10)) % 10





def 							lowercase   (snake_case__				:	int	)       ->					bool:


				'''simple docstring'''






				return len(str(snake_case__	)	) == 13 and get_check_digit(snake_case__	) == barcode % 10





def 							lowercase   (snake_case__				:	str	)       ->					int:


				'''simple docstring'''






				if str(snake_case__	).isalpha():
								lowerCAmelCase		=			f'''Barcode \'{barcode}\' has alphabetic characters.'''
								raise ValueError(snake_case__	)
				elif int(snake_case__	) < 0:
								raise ValueError("""The entered barcode has a negative value. Try again."""	)
				else:
								return int(snake_case__	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		a								=							get_barcode(input('Barcode: ').strip())

		if is_valid(barcode):
				print(f"""'{barcode}' is a valid barcode.""")
		else:
				print(f"""'{barcode}' is NOT a valid barcode.""")





