code: 
  
  
  from typing import List
  
  import datasets
  from datasets.tasks import ImageClassification
  
  from ..folder_based_builder import folder_based_builder
  
  
  lowercase_								=    datasets.utils.logging.get_logger(__name__)
  
  
  
  
  class 					_UpperCamelCase (      folder_based_builder.FolderBasedBuilderConfig	):
  
  
  
  
  
  
  
  							'''simple docstring'''
  							_A  				=  None
  							_A  				=  None
  
  
  
  
  class 					_UpperCamelCase (      folder_based_builder.FolderBasedBuilder	):
  
  
  
  
  
  
  
  							'''simple docstring'''
  							_A  				=  datasets.Image()
  							_A  				=  "image"
  							_A  				=  ImageFolderConfig
  							_A  				=  4_2  # definition at the bottom of the script
  							_A  				=  ImageClassification(image_column="image"			,							label_column="label"	)
  
  
  
  
  lowercase_								=    [
      """.blp""",
      """.bmp""",
      """.dib""",
      """.bufr""",
      """.cur""",
      """.pcx""",
      """.dcx""",
      """.dds""",
      """.ps""",
      """.eps""",
      """.fit""",
      """.fits""",
      """.fli""",
      """.flc""",
      """.ftc""",
      """.ftu""",
      """.gbr""",
      """.gif""",
      """.grib""",
      """.h5""",
      """.hdf""",
      """.png""",
      """.apng""",
      """.jp2""",
      """.j2k""",
      """.jpc""",
      """.jpf""",
      """.jpx""",
      """.j2c""",
      """.icns""",
      """.ico""",
      """.im""",
      """.iim""",
      """.tif""",
      """.tiff""",
      """.jfif""",
      """.jpe""",
      """.jpg""",
      """.jpeg""",
      """.mpg""",
      """.mpeg""",
      """.msp""",
      """.pcd""",
      """.pxr""",
      """.pbm""",
      """.pgm""",
      """.ppm""",
      """.pnm""",
      """.psd""",
      """.bw""",
      """.rgb""",
      """.rgba""",
      """.sgi""",
      """.ras""",
      """.tga""",
      """.icb""",
      """.vda""",
      """.vst""",
      """.webp""",
      """.wmf""",
      """.emf""",
      """.xbm""",
      """.xpm""",
  ]
  lowercase_								=    IMAGE_EXTENSIONS
  
  
  
style_context: 
  
  
  from typing import List, Union
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowercase_								=    logging.get_logger(__name__)
  
  lowercase_								=    {
      'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/config.json',
      # See all LED models at https://huggingface.co/models?filter=led
  }
  
  
  
  
  class 					_UpperCamelCase (      lowerCamelCase__	):
  
  
  
  
  
  
  
  							'''simple docstring'''
  							_A  				=  "led"
  							_A  				=  {
  							    "num_attention_heads": "encoder_attention_heads",
  							    "hidden_size": "d_model",
  							    "attention_probs_dropout_prob": "attention_dropout",
  							    "initializer_range": "init_std",
  							}
  
  
  
  
  
  
  
  							def __init__(		self  :				List[str]		,				SCREAMING_SNAKE_CASE_  :				List[str]=5_0_2_6_5		,				SCREAMING_SNAKE_CASE_  :				str=1_6_3_8_4		,				SCREAMING_SNAKE_CASE_  :				List[Any]=1_0_2_4		,				SCREAMING_SNAKE_CASE_  :				List[str]=1_2		,				SCREAMING_SNAKE_CASE_  :				Any=4_0_9_6		,				SCREAMING_SNAKE_CASE_  :				Optional[Any]=1_6		,				SCREAMING_SNAKE_CASE_  :				str=1_2		,				SCREAMING_SNAKE_CASE_  :				List[Any]=4_0_9_6		,				SCREAMING_SNAKE_CASE_  :				List[str]=1_6		,				SCREAMING_SNAKE_CASE_  :				Optional[int]=0.0		,				SCREAMING_SNAKE_CASE_  :				Union[str, Any]=0.0		,				SCREAMING_SNAKE_CASE_  :				List[Any]=True		,				SCREAMING_SNAKE_CASE_  :				str=True		,				SCREAMING_SNAKE_CASE_  :				List[str]="gelu"		,				SCREAMING_SNAKE_CASE_  :				List[Any]=1_0_2_4		,				SCREAMING_SNAKE_CASE_  :				Tuple=0.1		,				SCREAMING_SNAKE_CASE_  :				Dict=0.0		,				SCREAMING_SNAKE_CASE_  :				Optional[Any]=0.0		,				SCREAMING_SNAKE_CASE_  :				Tuple=0.02		,				SCREAMING_SNAKE_CASE_  :				str=2		,				SCREAMING_SNAKE_CASE_  :				Tuple=0.0		,				SCREAMING_SNAKE_CASE_  :				Optional[int]=1		,				SCREAMING_SNAKE_CASE_  :				str=0		,				SCREAMING_SNAKE_CASE_  :				Union[str, Any]=2		,				SCREAMING_SNAKE_CASE_  :				Union[List[int], int] = 5_1_2		,				**SCREAMING_SNAKE_CASE_  :				Dict		,				):
  													_a     =			vocab_size
  													_a     =			max_encoder_position_embeddings
  													_a     =			max_decoder_position_embeddings
  													_a     =			d_model
  													_a     =			encoder_ffn_dim
  													_a     =			encoder_layers
  													_a     =			encoder_attention_heads
  													_a     =			decoder_ffn_dim
  													_a     =			decoder_layers
  													_a     =			decoder_attention_heads
  													_a     =			dropout
  													_a     =			attention_dropout
  													_a     =			activation_dropout
  													_a     =			activation_function
  													_a     =			init_std
  													_a     =			encoder_layerdrop
  													_a     =			decoder_layerdrop
  													_a     =			classifier_dropout
  													_a     =			use_cache
  													_a     =			encoder_layers
  													_a     =			attention_window
  
  													super().__init__(
  													    pad_token_id=SCREAMING_SNAKE_CASE_		,				bos_token_id=SCREAMING_SNAKE_CASE_		,				eos_token_id=SCREAMING_SNAKE_CASE_		,				is_encoder_decoder=SCREAMING_SNAKE_CASE_		,				decoder_start_token_id=SCREAMING_SNAKE_CASE_		,				**SCREAMING_SNAKE_CASE_		,				)
  
  
  