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 :		List[str]      							=    logging.get_logger(__name__)
  
  __A :		Tuple      							=    {
      '''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		( _UpperCAmelCase				):
     lowercase       :  Union[str, Any]      =				'mobilevit'
  
  
  
  
  
  
  
     def __init__(							self    ,      SCREAMING_SNAKE_CASE_=3    ,      SCREAMING_SNAKE_CASE_=256    ,      SCREAMING_SNAKE_CASE_=2    ,      SCREAMING_SNAKE_CASE_=[144, 192, 240]    ,      SCREAMING_SNAKE_CASE_=[16, 32, 64, 96, 128, 160, 640]    ,      SCREAMING_SNAKE_CASE_=4    ,      SCREAMING_SNAKE_CASE_=2.0    ,      SCREAMING_SNAKE_CASE_=4.0    ,      SCREAMING_SNAKE_CASE_="silu"    ,      SCREAMING_SNAKE_CASE_=3    ,      SCREAMING_SNAKE_CASE_=32    ,      SCREAMING_SNAKE_CASE_=0.1    ,      SCREAMING_SNAKE_CASE_=0.0    ,      SCREAMING_SNAKE_CASE_=0.1    ,      SCREAMING_SNAKE_CASE_=0.02    ,      SCREAMING_SNAKE_CASE_=1e-5    ,      SCREAMING_SNAKE_CASE_=True    ,      SCREAMING_SNAKE_CASE_=256    ,      SCREAMING_SNAKE_CASE_=[6, 12, 18]    ,      SCREAMING_SNAKE_CASE_=0.1    ,      SCREAMING_SNAKE_CASE_=255    ,      **SCREAMING_SNAKE_CASE_    ,      ):
         super().__init__(**SCREAMING_SNAKE_CASE_ )
  
         UpperCamelCase				:   Union[str, Any]          =							num_channels
         UpperCamelCase				:   List[str]          =							image_size
         UpperCamelCase				:   Optional[Any]          =							patch_size
         UpperCamelCase				:   Dict          =							hidden_sizes
         UpperCamelCase				:   Optional[int]          =							neck_hidden_sizes
         UpperCamelCase				:   Dict          =							num_attention_heads
         UpperCamelCase				:   Any          =							mlp_ratio
         UpperCamelCase				:   Optional[int]          =							expand_ratio
         UpperCamelCase				:   Union[str, Any]          =							hidden_act
         UpperCamelCase				:   Tuple          =							conv_kernel_size
         UpperCamelCase				:   Tuple          =							output_stride
         UpperCamelCase				:   List[str]          =							hidden_dropout_prob
         UpperCamelCase				:   Optional[int]          =							attention_probs_dropout_prob
         UpperCamelCase				:   Optional[Any]          =							classifier_dropout_prob
         UpperCamelCase				:   Dict          =							initializer_range
         UpperCamelCase				:   Optional[Any]          =							layer_norm_eps
         UpperCamelCase				:   Any          =							qkv_bias
  
         # decode head attributes for semantic segmentation
         UpperCamelCase				:   int          =							aspp_out_channels
         UpperCamelCase				:   Optional[Any]          =							atrous_rates
         UpperCamelCase				:   Dict          =							aspp_dropout_prob
         UpperCamelCase				:   Any          =							semantic_loss_ignore_index
  
  
  
  
  
  
  
  class 							lowerCamelCase		( _UpperCAmelCase				):
     lowercase       :  Optional[int]      =				version.parse('1.11'				)
  
  
  
  
  
  
  
     @property
     def       a_							(							self ):
         return OrderedDict([("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""})] )
  
  
  
  
  
  
  
     @property
     def       a_							(							self ):
         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 ):
         return 1e-4
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  class 							lowerCamelCase		:
  
  
  
  
  
  
  
     def __init__(							self    ,      SCREAMING_SNAKE_CASE_=None ):
         UpperCamelCase				:   Optional[Any]          =							data
         UpperCamelCase				:   str          =							None
  
  
  
  
  
  
  
     def __repr__(							self ):
         UpperCamelCase				:   str          =							""""""
         UpperCamelCase				:   Any          =							self
         while temp:
             string_rep += f'<{temp.data}> ---> '
             UpperCamelCase				:   Optional[int]          =							temp.next
         string_rep += "<END>"
         return string_rep
  
  
  
  
  
  
  
  def 					A_			(		snake_case_     :       Tuple    ):
  
  
  
  
  
  
  
      '''simple docstring'''
  
      # if elements_list is empty
      if not elements_list:
          raise Exception("""The Elements List is empty"""    )
  
      # Set first element as Head
      UpperCamelCase				:   List[Any]          =							Node(elements_list[0]    )
      UpperCamelCase				:   str          =							head
      # Loop through elements from position 1
      for data in elements_list[1:]:
          UpperCamelCase				:   Optional[int]          =							Node(snake_case_    )
          UpperCamelCase				:   Optional[Any]          =							current.next
      return head
  
  
  __A :		List[Any]      							=    [1, 3, 5, 32, 44, 12, 43]
  print(F'''List: {list_data}''')
  print('''Creating Linked List from List.''')
  __A :		int      							=    make_linked_list(list_data)
  print('''Linked List:''')
  
  
  print(linked_list)
  
  
  
  
  