

'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase				:   Optional[Any]      				=  logging.get_logger(__name__)

lowerCamelCase				:   Tuple      				=  {
    "dandelin/vilt-b32-mlm": "https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"
}







class 							A__					( A__						):
  A__					=       'vilt'





  def __init__(	self   :			Optional[Any]							,      _a   :			Union[str, Any]=3_0522							,      _a   :			int=2							,      _a   :			Any=2							,      _a   :			Any=40							,      _a   :			Optional[int]=768							,      _a   :			List[Any]=12							,      _a   :			Any=12							,      _a   :			Optional[int]=3072							,      _a   :			Union[str, Any]="gelu"							,      _a   :			Optional[int]=0.0							,      _a   :			Union[str, Any]=0.0							,      _a   :			str=0.02							,      _a   :			str=1e-12							,      _a   :			int=384							,      _a   :			Any=32							,      _a   :			str=3							,      _a   :			Optional[Any]=True							,      _a   :			List[Any]=-1							,      _a   :			List[Any]=False							,      _a   :			str=-1							,      **_a   :			Optional[Any]							,      )			->					List[str]:





       '''simple docstring'''






       super().__init__(tie_word_embeddings=_a							,      **_a				)

       _SCREAMING_SNAKE_CASE												=vocab_size
       _SCREAMING_SNAKE_CASE												=type_vocab_size
       _SCREAMING_SNAKE_CASE												=modality_type_vocab_size
       _SCREAMING_SNAKE_CASE												=max_position_embeddings

       _SCREAMING_SNAKE_CASE												=hidden_size
       _SCREAMING_SNAKE_CASE												=num_hidden_layers
       _SCREAMING_SNAKE_CASE												=num_attention_heads
       _SCREAMING_SNAKE_CASE												=intermediate_size
       _SCREAMING_SNAKE_CASE												=hidden_act
       _SCREAMING_SNAKE_CASE												=hidden_dropout_prob
       _SCREAMING_SNAKE_CASE												=attention_probs_dropout_prob
       _SCREAMING_SNAKE_CASE												=initializer_range
       _SCREAMING_SNAKE_CASE												=layer_norm_eps

       _SCREAMING_SNAKE_CASE												=image_size
       _SCREAMING_SNAKE_CASE												=patch_size
       _SCREAMING_SNAKE_CASE												=num_channels
       _SCREAMING_SNAKE_CASE												=qkv_bias
       _SCREAMING_SNAKE_CASE												=max_image_length
       _SCREAMING_SNAKE_CASE												=num_images



'''simple docstring'''
def  _lowerCAmelCase      (		_UpperCamelCase		:  Optional[int]							,				_UpperCamelCase		:  Optional[Any]       )   ->    Tuple:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE												=len(_UpperCamelCase       )
     # Create a stack and push index of fist element to it
     _SCREAMING_SNAKE_CASE												=[]
     st.append(0       )

     # Span value of first element is always 1
     _SCREAMING_SNAKE_CASE												=1

     # Calculate span values for rest of the elements
     for i in range(1							,				_UpperCamelCase       ):
          # Pop elements from stack while stack is not
          # empty and top of stack is smaller than price[i]
          while len(_UpperCamelCase       ) > 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
          _SCREAMING_SNAKE_CASE												=i + 1 if len(_UpperCamelCase       ) <= 0 else (i - st[0])

          # Push this element to stack
          st.append(_UpperCamelCase       )


def  _lowerCAmelCase      (		_UpperCamelCase		:  Any							,				_UpperCamelCase		:  str       )   ->    Any:
     """simple docstring"""




     for i in range(0							,				_UpperCamelCase       ):
          print(arr[i]							,				end=' '       )


# Driver program to test above function
lowerCamelCase				:   str      				=  [1_0, 4, 5, 9_0, 1_2_0, 8_0]
lowerCamelCase				:   str      				=  [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)







print_array(S, len(price))
