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
  
  
  __magic_name__		       =				logging.get_logger(__name__)
  
  __magic_name__		       =				{
      '''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    _lowerCAmelCase						(						lowerCAmelCase_						):
  							lowercase_     :     int       =							'mobilevit'
  
  
  
  							def __init__(      self ,						a_=3 ,						a_=256 ,						a_=2 ,						a_=[144, 192, 240] ,						a_=[16, 32, 64, 96, 128, 160, 640] ,						a_=4 ,						a_=2.0 ,						a_=4.0 ,						a_="silu" ,						a_=3 ,						a_=32 ,						a_=0.1 ,						a_=0.0 ,						a_=0.1 ,						a_=0.02 ,						a_=1e-5 ,						a_=True ,						a_=256 ,						a_=[6, 12, 18] ,						a_=0.1 ,						a_=255 ,						**a_ ,						)							->							str:
  								super().__init__(**lowerCamelCase_   )
  
  								_UpperCAmelCase =						num_channels
  								_UpperCAmelCase =						image_size
  								_UpperCAmelCase =						patch_size
  								_UpperCAmelCase =						hidden_sizes
  								_UpperCAmelCase =						neck_hidden_sizes
  								_UpperCAmelCase =						num_attention_heads
  								_UpperCAmelCase =						mlp_ratio
  								_UpperCAmelCase =						expand_ratio
  								_UpperCAmelCase =						hidden_act
  								_UpperCAmelCase =						conv_kernel_size
  								_UpperCAmelCase =						output_stride
  								_UpperCAmelCase =						hidden_dropout_prob
  								_UpperCAmelCase =						attention_probs_dropout_prob
  								_UpperCAmelCase =						classifier_dropout_prob
  								_UpperCAmelCase =						initializer_range
  								_UpperCAmelCase =						layer_norm_eps
  								_UpperCAmelCase =						qkv_bias
  
  								# decode head attributes for semantic segmentation
  								_UpperCAmelCase =						aspp_out_channels
  								_UpperCAmelCase =						atrous_rates
  								_UpperCAmelCase =						aspp_dropout_prob
  								_UpperCAmelCase =						semantic_loss_ignore_index
  
  
  
  
  
  class    _lowerCAmelCase						(						lowerCAmelCase_						):
  							lowercase_     :     List[str]       =							version.parse('''1.11'''						)
  
  
  
  							@property
  							def       _a   (      self   )							->							Optional[int]:
  								return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})]   )
  
  
  
  							@property
  							def       _a   (      self   )							->							Optional[int]:
  
  								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   )							->							Union[str, Any]:
  								return 1e-4
  
  
  
  
  
style_context: 
  """simple docstring"""
  from .stack import Stack
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	_UpperCAmelCase =						Stack()
  	_UpperCAmelCase =						{"(": ")", "[": "]", "{": "}"}
  	for bracket in parentheses:
  		if bracket in bracket_pairs:
  			stack.push(UpperCamelCase__      )
  		elif bracket in (")", "]", "}"):
  			if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
  				return False
  	return stack.is_empty()
  
  
  if __name__ == "__main__":
  			from doctest import testmod
  
  			testmod()
  
  			__magic_name__		       =				['''((()))''', '''((())''', '''(()))''']
  			print('''Balanced parentheses demonstration:\n''')
  			for example in examples:
  						__magic_name__		       =				'''''' if balanced_parentheses(example) else '''not '''
  						print(f'''{example} is {not_str}balanced''')
  
  
  
  
  