code: 
  
  
  # Lint as: python3
  
  import hashlib
  from typing import Union
  
  
  
  
  
  def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: Union[str, int, bytes]      ):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  							if isinstance(SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_      ):
  														# Data already in bytes, returns as it as
  														return hash_data
  							elif isinstance(SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_      ):
  														# We keep the data as it as for it ot be later encoded to UTF-8
  														# However replace `\\` with `/` for Windows compatibility
  														a_       :   Optional[int]			=	hash_data.replace("""\\"""	,	"""/"""      )
  							elif isinstance(SCREAMING_SNAKE_CASE_	,	SCREAMING_SNAKE_CASE_      ):
  														a_       :   Any			=	str(SCREAMING_SNAKE_CASE_      )
  							else:
  														# If data is not of the required type, raise error
  														raise InvalidKeyError(SCREAMING_SNAKE_CASE_      )
  
  							return hash_data.encode("""utf-8"""      )
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_							)		->			Union[str, Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   List[str]			=	"""\nFAILURE TO GENERATE DATASET: Invalid key type detected"""
  								a_       :   Dict			=	f"""\nFound Key {hash_data} of type {type(UpperCamelCase_							)}"""
  								a_       :   str			=	"""\nKeys should be either str, int or bytes type"""
  								super().__init__(f"""{self.prefix}{self.err_msg}{self.suffix}"""							)
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_				,    UpperCamelCase_				,    UpperCamelCase_=""							)		->			Union[str, Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   Optional[Any]			=	key
  								a_       :   str			=	duplicate_key_indices
  								a_       :   Union[str, Any]			=	fix_msg
  								a_       :   Optional[int]			=	"""Found multiple examples generated with the same key"""
  								if len(UpperCamelCase_							) <= 20:
  															a_       :   Union[str, Any]			=	f"""\nThe examples at index {', '.join(UpperCamelCase_							)} have the key {key}"""
  								else:
  															a_       :   List[str]			=	f"""\nThe examples at index {', '.join(duplicate_key_indices[:20]							)}... ({len(UpperCamelCase_							) - 20} more) have the key {key}"""
  								a_       :   List[Any]			=	"""\n""" + fix_msg if fix_msg else """"""
  								super().__init__(f"""{self.prefix}{self.err_msg}{self.suffix}"""							)
  
  
  
  
  
  class 					snake_case__  :
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_							)		->			List[Any]:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   Dict			=	hashlib.mda(_as_bytes(UpperCamelCase_							)							)
  
  
  
  
  
  	def     A				(  self				,    UpperCamelCase_							)		->			int:
  								"""simple docstring"""
  
  
  
  
  
  
  								a_       :   str			=	self._split_mda.copy()
  								a_       :   Union[str, Any]			=	_as_bytes(UpperCamelCase_							)
  								mda.update(UpperCamelCase_							)
  								# Convert to integer with hexadecimal conversion
  								return int(mda.hexdigest()				,    16							)
  
  
  
style_context: 
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from packaging import version
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE : Dict          =    logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE : str          =    {
      "apple/mobilevit-small": "https://huggingface.co/apple/mobilevit-small/resolve/main/config.json",
      "apple/mobilevit-x-small": "https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json",
      "apple/mobilevit-xx-small": "https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json",
      "apple/deeplabv3-mobilevit-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"
      ),
      "apple/deeplabv3-mobilevit-x-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"
      ),
      "apple/deeplabv3-mobilevit-xx-small": (
          "https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"
      ),
      # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
  }
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							List[str]         = """mobilevit"""
  
  
  
  
  
  	def __init__(  self				,    UpperCamelCase_=3				,    UpperCamelCase_=256				,    UpperCamelCase_=2				,    UpperCamelCase_=[144, 192, 240]				,    UpperCamelCase_=[16, 32, 64, 96, 128, 160, 640]				,    UpperCamelCase_=4				,    UpperCamelCase_=2.0				,    UpperCamelCase_=4.0				,    UpperCamelCase_="silu"				,    UpperCamelCase_=3				,    UpperCamelCase_=32				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.0				,    UpperCamelCase_=0.1				,    UpperCamelCase_=0.02				,    UpperCamelCase_=1e-5				,    UpperCamelCase_=True				,    UpperCamelCase_=256				,    UpperCamelCase_=[6, 12, 18]				,    UpperCamelCase_=0.1				,    UpperCamelCase_=255				,    **UpperCamelCase_				,    )		->			str:
  								"""simple docstring"""
  
  
  
  
  
  
  								super().__init__(**UpperCamelCase_							)
  
  								a_       :   Optional[int]			=	num_channels
  								a_       :   Optional[Any]			=	image_size
  								a_       :   int			=	patch_size
  								a_       :   List[str]			=	hidden_sizes
  								a_       :   Optional[int]			=	neck_hidden_sizes
  								a_       :   List[Any]			=	num_attention_heads
  								a_       :   Union[str, Any]			=	mlp_ratio
  								a_       :   List[str]			=	expand_ratio
  								a_       :   str			=	hidden_act
  								a_       :   Union[str, Any]			=	conv_kernel_size
  								a_       :   Optional[Any]			=	output_stride
  								a_       :   Union[str, Any]			=	hidden_dropout_prob
  								a_       :   List[Any]			=	attention_probs_dropout_prob
  								a_       :   List[Any]			=	classifier_dropout_prob
  								a_       :   Union[str, Any]			=	initializer_range
  								a_       :   List[Any]			=	layer_norm_eps
  								a_       :   str			=	qkv_bias
  
  								# decode head attributes for semantic segmentation
  								a_       :   Optional[Any]			=	aspp_out_channels
  								a_       :   Any			=	atrous_rates
  								a_       :   Union[str, Any]			=	aspp_dropout_prob
  								a_       :   Any			=	semantic_loss_ignore_index
  
  
  
  
  
  class 					snake_case__  ( __A       ):
  	UpperCAmelCase   :							Optional[int]         = version.parse("""1.11"""       )
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})]							)
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			Mapping[str, Mapping[int, str]]:
  								"""simple docstring"""
  
  
  
  
  
  
  								if self.task == "image-classification":
  															return OrderedDict([("""logits""", {0: """batch"""})]							)
  								else:
  															return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]							)
  
  
  
  
  
  	@property
  	def     A				(  self							)		->			float:
  								"""simple docstring"""
  
  
  
  
  
  
  								return 1e-4
  
  
  