code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  def _A		(		lowercase ,					lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
      a					=len(lowercase	)
      # Create a stack and push index of fist element to it
      a					=[]
      st.append(0	)
  
      # Span value of first element is always 1
      a					=1
  
      # Calculate span values for rest of the elements
      for i in range(1 ,					lowercase	):
          # Pop elements from stack while stack is not
          # empty and top of stack is smaller than price[i]
          while len(lowercase	) > 0 and price[st[0]] <= price[i]:
              st.pop()
  
          # If stack becomes empty, then price[i] is greater
          # than all elements on left of it, i.e. price[0],
          # price[1], ..price[i-1]. Else the price[i]  is
          # greater than elements after top of stack
          a					=i + 1 if len(lowercase	) <= 0 else (i - st[0])
  
          # Push this element to stack
          st.append(lowercase	)
  def _A		(		lowercase ,					lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
      for i in range(0 ,					lowercase	):
          print(arr[i] ,					end=''' '''	)
  
  
  # Driver program to test above function
  lowerCamelCase_     :     Any    		=						[1_0, 4, 5, 9_0, 1_2_0, 8_0]
  lowerCamelCase_     :     Tuple    		=						[0 for i in range(len(price) + 1)]
  
  # Fill the span values in array S[]
  calculation_span(price, S)
  
  
  
  
  
  print_array(S, len(price))
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCamelCase_     :     int    		=						logging.get_logger(__name__)
  
  lowerCamelCase_     :     Optional[Any]    		=						{
      """dandelin/vilt-b32-mlm""": """https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"""
  }
  
  
  
  
  
  
  class    __A       ( _SCREAMING_SNAKE_CASE    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   __lowerCAmelCase				      =						"vilt"
  
  
   def __init__(	self				,					__A=3_0522				,					__A=2				,					__A=2				,					__A=40				,					__A=768				,					__A=12				,					__A=12				,					__A=3072				,					__A="gelu"				,					__A=0.0				,					__A=0.0				,					__A=0.02				,					__A=1E-1_2				,					__A=384				,					__A=32				,					__A=3				,					__A=True				,					__A=-1				,					__A=False				,					__A=-1				,					**__A				,					)      ->  Dict:
       super().__init__(tie_word_embeddings=__A				,					**__A		)
  
       a					=vocab_size
       a					=type_vocab_size
       a					=modality_type_vocab_size
       a					=max_position_embeddings
  
       a					=hidden_size
       a					=num_hidden_layers
       a					=num_attention_heads
       a					=intermediate_size
       a					=hidden_act
       a					=hidden_dropout_prob
       a					=attention_probs_dropout_prob
       a					=initializer_range
       a					=layer_norm_eps
  
       a					=image_size
       a					=patch_size
       a					=num_channels
       a					=qkv_bias
       a					=max_image_length
       a					=num_images