




"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


a								=							{
    'configuration_camembert': ['CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CamembertConfig', 'CamembertOnnxConfig'],
}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a								=							['CamembertTokenizer']

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a								=							['CamembertTokenizerFast']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a								=							[
		    'CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'CamembertForCausalLM',
		    'CamembertForMaskedLM',
		    'CamembertForMultipleChoice',
		    'CamembertForQuestionAnswering',
		    'CamembertForSequenceClassification',
		    'CamembertForTokenClassification',
		    'CamembertModel',
		    'CamembertPreTrainedModel',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a								=							[
		    'TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TFCamembertForCausalLM',
		    'TFCamembertForMaskedLM',
		    'TFCamembertForMultipleChoice',
		    'TFCamembertForQuestionAnswering',
		    'TFCamembertForSequenceClassification',
		    'TFCamembertForTokenClassification',
		    'TFCamembertModel',
		    'TFCamembertPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig, CamembertOnnxConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_camembert import CamembertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_camembert_fast import CamembertTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_camembert import (
				    CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    CamembertForCausalLM,
				    CamembertForMaskedLM,
				    CamembertForMultipleChoice,
				    CamembertForQuestionAnswering,
				    CamembertForSequenceClassification,
				    CamembertForTokenClassification,
				    CamembertModel,
				    CamembertPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_camembert import (
				    TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFCamembertForCausalLM,
				    TFCamembertForMaskedLM,
				    TFCamembertForMultipleChoice,
				    TFCamembertForQuestionAnswering,
				    TFCamembertForSequenceClassification,
				    TFCamembertForTokenClassification,
				    TFCamembertModel,
				    TFCamembertPreTrainedModel,
				)

else:
		import sys

		a								=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)











"""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.""")





