code: 
  
  """simple docstring"""
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  __A  :					str												=	{
      'configuration_bart': ['BART_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BartConfig', 'BartOnnxConfig'],
      'tokenization_bart': ['BartTokenizer'],
  }
  
  try:
  	if not is_tokenizers_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__A  :					Tuple												=	['BartTokenizerFast']
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__A  :					Union[str, Any]												=	[
  	    'BART_PRETRAINED_MODEL_ARCHIVE_LIST',
  	    'BartForCausalLM',
  	    'BartForConditionalGeneration',
  	    'BartForQuestionAnswering',
  	    'BartForSequenceClassification',
  	    'BartModel',
  	    'BartPretrainedModel',
  	    'PretrainedBartModel',
  	]
  
  try:
  	if not is_tf_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__A  :					Optional[Any]												=	[
  	    'TFBartForConditionalGeneration',
  	    'TFBartForSequenceClassification',
  	    'TFBartModel',
  	    'TFBartPretrainedModel',
  	]
  
  try:
  	if not is_flax_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	__A  :					str												=	[
  	    'FlaxBartDecoderPreTrainedModel',
  	    'FlaxBartForCausalLM',
  	    'FlaxBartForConditionalGeneration',
  	    'FlaxBartForQuestionAnswering',
  	    'FlaxBartForSequenceClassification',
  	    'FlaxBartModel',
  	    'FlaxBartPreTrainedModel',
  	]
  
  if TYPE_CHECKING:
  	from .configuration_bart import BART_PRETRAINED_CONFIG_ARCHIVE_MAP, BartConfig, BartOnnxConfig
  	from .tokenization_bart import BartTokenizer
  
  	try:
  		if not is_tokenizers_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .tokenization_bart_fast import BartTokenizerFast
  
  	try:
  		if not is_torch_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_bart import (
  		    BART_PRETRAINED_MODEL_ARCHIVE_LIST,
  		    BartForCausalLM,
  		    BartForConditionalGeneration,
  		    BartForQuestionAnswering,
  		    BartForSequenceClassification,
  		    BartModel,
  		    BartPretrainedModel,
  		    PretrainedBartModel,
  		)
  
  	try:
  		if not is_tf_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_tf_bart import (
  		    TFBartForConditionalGeneration,
  		    TFBartForSequenceClassification,
  		    TFBartModel,
  		    TFBartPretrainedModel,
  		)
  
  	try:
  		if not is_flax_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_flax_bart import (
  		    FlaxBartDecoderPreTrainedModel,
  		    FlaxBartForCausalLM,
  		    FlaxBartForConditionalGeneration,
  		    FlaxBartForQuestionAnswering,
  		    FlaxBartForSequenceClassification,
  		    FlaxBartModel,
  		    FlaxBartPreTrainedModel,
  		)
  
  else:
  	import sys
  
  	__A  :					Tuple												=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
style_context: 
  
  """simple docstring"""
  
  
  
  
  def      __SCREAMING_SNAKE_CASE		(		lowercase__    ,							lowercase__   ):
  					"""simple docstring"""
  					A    =      1
  					while b > 0:
  										if b & 1:
  															res *= a
  
  										a *= a
  										b >>= 1
  
  					return res
  def      __SCREAMING_SNAKE_CASE		(		lowercase__    ,							lowercase__    ,							lowercase__   ):
  					"""simple docstring"""
  					A    =      1
  					while b > 0:
  										if b & 1:
  															A    =      ((res % c) * (a % c)) % c
  
  										a *= a
  										b >>= 1
  
  					return res
  
  
  
  
  
  