code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  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
  
  
  a__				: Dict									=    logging.get_logger(__name__)
  
  a__				: Tuple									=    {
      '''apple/mobilevitv2-1.0''': '''https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json''',
  }
  
  
  class 							__snake_case    (				__magic_name__       ):
  	__lowerCAmelCase						=     '''mobilevitv2'''
  
  
  
  
  
  	def __init__(		self			,					UpperCamelCase_=3			,					UpperCamelCase_=256			,					UpperCamelCase_=2			,					UpperCamelCase_=2.0			,					UpperCamelCase_="swish"			,					UpperCamelCase_=3			,					UpperCamelCase_=32			,					UpperCamelCase_=0.1			,					UpperCamelCase_=0.0_2			,					UpperCamelCase_=1E-5			,					UpperCamelCase_=512			,					UpperCamelCase_=[6, 12, 18]			,					UpperCamelCase_=0.1			,					UpperCamelCase_=255			,					UpperCamelCase_=[2, 4, 3]			,					UpperCamelCase_=[128, 192, 256]			,					UpperCamelCase_=1.0			,					UpperCamelCase_=2			,					UpperCamelCase_=0.0			,					UpperCamelCase_=0.0			,					**UpperCamelCase_			,					)			->		Union[str, Any]:
  		super().__init__(**UpperCamelCase_		)
  
  		snake_case__  					=      num_channels
  		snake_case__  					=      image_size
  		snake_case__  					=      patch_size
  		snake_case__  					=      expand_ratio
  		snake_case__  					=      hidden_act
  		snake_case__  					=      conv_kernel_size
  		snake_case__  					=      output_stride
  		snake_case__  					=      initializer_range
  		snake_case__  					=      layer_norm_eps
  		snake_case__  					=      n_attn_blocks
  		snake_case__  					=      base_attn_unit_dims
  		snake_case__  					=      width_multiplier
  		snake_case__  					=      ffn_multiplier
  		snake_case__  					=      ffn_dropout
  		snake_case__  					=      attn_dropout
  		snake_case__  					=      classifier_dropout_prob
  
  		# decode head attributes for semantic segmentation
  		snake_case__  					=      aspp_out_channels
  		snake_case__  					=      atrous_rates
  		snake_case__  					=      aspp_dropout_prob
  		snake_case__  					=      semantic_loss_ignore_index
  
  
  
  
  
  class 							__snake_case    (				__magic_name__       ):
  	__lowerCAmelCase						=     version.parse('''1.11'''       )
  
  
  
  
  
  	@property
  	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
  		return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]		)
  
  
  
  
  
  	@property
  	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
  		if self.task == "image-classification":
  			return OrderedDict([('logits', {0: 'batch'})]		)
  		else:
  			return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]		)
  
  
  
  
  
  	@property
  	def      _snake_case      (		self		)			->		float:
  		return 1E-4
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  
  
  def 	__lowerCamelCase (  UpperCAmelCase_       )      ->int:
  	return 1 if input_a == 0 else 0
  
  
  
  
  def 	__lowerCamelCase (  )      ->None:
  	assert not_gate(0       ) == 1
  	assert not_gate(1       ) == 0
  
  
  if __name__ == "__main__":
  			print(not_gate(0))
  			print(not_gate(1))
  
  
  
  