code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  lowercase_								=    {
      "configuration_bart": ["BART_PRETRAINED_CONFIG_ARCHIVE_MAP", "BartConfig", "BartOnnxConfig"],
      "tokenization_bart": ["BartTokenizer"],
  }
  
  try:
  		if not is_tokenizers_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    ["BartTokenizerFast"]
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    [
  		    "BART_PRETRAINED_MODEL_ARCHIVE_LIST",
  		    "BartForCausalLM",
  		    "BartForConditionalGeneration",
  		    "BartForQuestionAnswering",
  		    "BartForSequenceClassification",
  		    "BartModel",
  		    "BartPretrainedModel",
  		    "PretrainedBartModel",
  		]
  
  try:
  		if not is_tf_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    [
  		    "TFBartForConditionalGeneration",
  		    "TFBartForSequenceClassification",
  		    "TFBartModel",
  		    "TFBartPretrainedModel",
  		]
  
  try:
  		if not is_flax_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		lowercase_								=    [
  		    "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
  
  		lowercase_								=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  
  
style_context: 
  
  
  lowercase_								=    [0.485, 0.456, 0.406]
  lowercase_								=    [0.229, 0.224, 0.225]
  lowercase_								=    [0.5, 0.5, 0.5]
  lowercase_								=    [0.5, 0.5, 0.5]
  lowercase_								=    [0.48145466, 0.4578275, 0.40821073]
  lowercase_								=    [0.26862954, 0.26130258, 0.27577711]
  
  
  