



def   lowercase_	(   lowerCAmelCase__	:  Any			,							lowerCAmelCase__	:  Optional[int] ):

			"""simple docstring"""





			__UpperCAmelCase   :      int										=     len(UpperCAmelCase_ )
			# Create a stack and push index of fist element to it
			__UpperCAmelCase   :      int										=     []
			st.append(0 )

			# Span value of first element is always 1
			__UpperCAmelCase   :      str										=     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
						__UpperCAmelCase   :      Optional[int]										=     i + 1 if len(UpperCAmelCase_ ) <= 0 else (i - st[0])

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


def   lowercase_	(   lowerCAmelCase__	:  Dict			,							lowerCAmelCase__	:  Any ):

			"""simple docstring"""





			for i in range(0			,							UpperCAmelCase_ ):
						print(arr[i]			,							end=""" """ )


# Driver program to test above function
_UpperCamelCase											=			[10, 4, 5, 90, 120, 80]
_UpperCamelCase											=			[0 for i in range(len(price) + 1)]

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






print_array(S, len(price))









'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


_UpperCamelCase											=			logging.get_logger(__name__)



class _A  (    __SCREAMING_SNAKE_CASE    ):





		def __init__(     self ,       *__UpperCAmelCase ,       **__UpperCAmelCase				)       ->     None:

					'''simple docstring'''
					warnings.warn(
					    """The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
					    """ Please use MobileNetV2ImageProcessor instead.""" ,       __UpperCAmelCase ,       )
					super().__init__(*__UpperCAmelCase ,       **__UpperCAmelCase				)




