code: 
  
  
  """simple docstring"""
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  UpperCAmelCase   =	logging.get_logger(__name__)
  
  UpperCAmelCase   =	{
      """dandelin/vilt-b32-mlm""": """https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"""
  }
  
  
  
  
  class   lowercase__							(				A_							):
     __UpperCAmelCase       					=				'''vilt'''
  
  
  
  
  
     def __init__(       self			,      SCREAMING_SNAKE_CASE=3_0522			,      SCREAMING_SNAKE_CASE=2			,      SCREAMING_SNAKE_CASE=2			,      SCREAMING_SNAKE_CASE=40			,      SCREAMING_SNAKE_CASE=768			,      SCREAMING_SNAKE_CASE=12			,      SCREAMING_SNAKE_CASE=12			,      SCREAMING_SNAKE_CASE=3072			,      SCREAMING_SNAKE_CASE="gelu"			,      SCREAMING_SNAKE_CASE=0.0			,      SCREAMING_SNAKE_CASE=0.0			,      SCREAMING_SNAKE_CASE=0.02			,      SCREAMING_SNAKE_CASE=1e-1_2			,      SCREAMING_SNAKE_CASE=384			,      SCREAMING_SNAKE_CASE=32			,      SCREAMING_SNAKE_CASE=3			,      SCREAMING_SNAKE_CASE=True			,      SCREAMING_SNAKE_CASE=-1			,      SCREAMING_SNAKE_CASE=False			,      SCREAMING_SNAKE_CASE=-1			,      **SCREAMING_SNAKE_CASE			,      )     ->     Any:
        super().__init__(tie_word_embeddings=SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE)
  
        _lowerCamelCase  :				Tuple      =		vocab_size
        _lowerCamelCase  :				Any      =		type_vocab_size
        _lowerCamelCase  :				List[str]      =		modality_type_vocab_size
        _lowerCamelCase  :				Tuple      =		max_position_embeddings
  
        _lowerCamelCase  :				List[str]      =		hidden_size
        _lowerCamelCase  :				str      =		num_hidden_layers
        _lowerCamelCase  :				Optional[Any]      =		num_attention_heads
        _lowerCamelCase  :				List[str]      =		intermediate_size
        _lowerCamelCase  :				Optional[int]      =		hidden_act
        _lowerCamelCase  :				int      =		hidden_dropout_prob
        _lowerCamelCase  :				Any      =		attention_probs_dropout_prob
        _lowerCamelCase  :				Any      =		initializer_range
        _lowerCamelCase  :				List[Any]      =		layer_norm_eps
  
        _lowerCamelCase  :				List[Any]      =		image_size
        _lowerCamelCase  :				Dict      =		patch_size
        _lowerCamelCase  :				Union[str, Any]      =		num_channels
        _lowerCamelCase  :				Optional[Any]      =		qkv_bias
        _lowerCamelCase  :				List[Any]      =		max_image_length
        _lowerCamelCase  :				int      =		num_images
  
  
style_context: 
  
  
  """simple docstring"""
  import os
  
  from apache_beam.io.filesystems import FileSystems
  from apache_beam.pipeline import Pipeline
  
  from .logging import get_logger
  
  
  UpperCAmelCase   =	2 << 20  # 2mb
  UpperCAmelCase   =	get_logger(__name__)
  
  
  
  
  class   lowercase__							(				A_							):
  
  
  
  
  
     def 		UpperCamelCase_     (       self)     ->     Dict:
        _lowerCamelCase  :				Tuple      =		self._options.get_all_options().get("""runner""")
        return runner in [None, "DirectRunner", "PortableRunner"]
  
  
  
  
  
  
  
  def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]	,   __snake_case       :			Any=False      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				Any      =		FileSystems
     if fs.exists(__snake_case      ):
        if force_upload:
           logger.info(F'Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'      )
        else:
           logger.info(F'Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'      )
           return
     with fs.create(__snake_case      ) as remote_file:
        with open(__snake_case	,   """rb"""      ) as local_file:
           _lowerCamelCase  :				Optional[Any]      =		local_file.read(__snake_case      )
           while chunk:
              remote_file.write(__snake_case      )
              _lowerCamelCase  :				Tuple      =		local_file.read(__snake_case      )
  
  
  
  
  
  def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]	,   __snake_case       :			Union[str, Any]=False      ):
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _lowerCamelCase  :				int      =		FileSystems
     if os.path.exists(__snake_case      ):
        if force_download:
           logger.info(F'Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'      )
        else:
           logger.info(F'Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'      )
           return
     with fs.open(__snake_case      ) as remote_file:
        with open(__snake_case	,   """wb"""      ) as local_file:
           _lowerCamelCase  :				str      =		remote_file.read(__snake_case      )
           while chunk:
              local_file.write(__snake_case      )
              _lowerCamelCase  :				Any      =		remote_file.read(__snake_case      )
  
  