code: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  _lowercase		:     Union[str, Any] 					={"""configuration_qdqbert""": ["""QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """QDQBertConfig"""]}
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=[
  		    """QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
  		    """QDQBertForMaskedLM""",
  		    """QDQBertForMultipleChoice""",
  		    """QDQBertForNextSentencePrediction""",
  		    """QDQBertForQuestionAnswering""",
  		    """QDQBertForSequenceClassification""",
  		    """QDQBertForTokenClassification""",
  		    """QDQBertLayer""",
  		    """QDQBertLMHeadModel""",
  		    """QDQBertModel""",
  		    """QDQBertPreTrainedModel""",
  		    """load_tf_weights_in_qdqbert""",
  		]
  
  
  if TYPE_CHECKING:
  		from .configuration_qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_qdqbert import (
  				    QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    QDQBertForMaskedLM,
  				    QDQBertForMultipleChoice,
  				    QDQBertForNextSentencePrediction,
  				    QDQBertForQuestionAnswering,
  				    QDQBertForSequenceClassification,
  				    QDQBertForTokenClassification,
  				    QDQBertLayer,
  				    QDQBertLMHeadModel,
  				    QDQBertModel,
  				    QDQBertPreTrainedModel,
  				    load_tf_weights_in_qdqbert,
  				)
  
  
  else:
  		import sys
  
  		_lowercase		:     Dict 					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
style_context: 
  
  
  
  
  
  from __future__ import annotations
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		lowerCamelCase_  :    int
  		lowerCamelCase_  :    list[str]   	=			list(lowerCAmelCase__	)
  		lowerCamelCase_	,			lowerCamelCase_  :    List[str]   	=			_vector[:-1], int(_vector[-1]	)
  		lowerCamelCase_  :    list[int]   	=			[int(lowerCAmelCase__	) for digit in __vector]
  
  		vector.reverse()
  		for i, digit in enumerate(lowerCAmelCase__	):
  				if i & 1 == 0:
  						lowerCamelCase_  :    int   	=			digit * 2
  						if doubled > 9:
  								doubled -= 9
  						check_digit += doubled
  				else:
  						check_digit += digit
  
  		return check_digit % 10 == 0
  
  
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  		assert is_luhn("""79927398713""")
  		assert not is_luhn("""79927398714""")
  