



def        a( A			:       Tuple					,	A			:       str			)						->			Dict:
					"""simple docstring"""





					a   	=  len(lowerCAmelCase_			)
					# 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					,	lowerCAmelCase_			):
										# Pop elements from stack while stack is not
										# empty and top of stack is smaller than price[i]
										while len(lowerCAmelCase_			) > 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(lowerCAmelCase_			) <= 0 else (i - st[0])

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






def        a( A			:       Any					,	A			:       List[Any]			)						->			Any:
					"""simple docstring"""





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


# Driver program to test above function
_lowercase:					int      =						[10, 4, 5, 90, 120, 80]
_lowercase:					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))

from typing import List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


UpperCAmelCase				 =   datasets.utils.logging.get_logger(__name__)






class 				_SCREAMING_SNAKE_CASE( folder_based_builder.FolderBasedBuilderConfig						):
   UpperCamelCase_					:    bool			      = None
   UpperCamelCase_					:    bool			      = None






class 				_SCREAMING_SNAKE_CASE( folder_based_builder.FolderBasedBuilder						):
   UpperCamelCase_					:    List[str]			      = datasets.Image()
   UpperCamelCase_					:    Any			      = 'image'
   UpperCamelCase_					:    str			      = ImageFolderConfig
   UpperCamelCase_					:    List[str]  # definition at the bottom of the script
   UpperCamelCase_					:    Union[str, Any]			      = ImageClassification(image_column='image'							,   label_column='label'						)

UpperCAmelCase				 =   [
    """.blp""",
    """.bmp""",
    """.dib""",
    """.bufr""",
    """.cur""",
    """.pcx""",
    """.dcx""",
    """.dds""",
    """.ps""",
    """.eps""",
    """.fit""",
    """.fits""",
    """.fli""",
    """.flc""",
    """.ftc""",
    """.ftu""",
    """.gbr""",
    """.gif""",
    """.grib""",
    """.h5""",
    """.hdf""",
    """.png""",
    """.apng""",
    """.jp2""",
    """.j2k""",
    """.jpc""",
    """.jpf""",
    """.jpx""",
    """.j2c""",
    """.icns""",
    """.ico""",
    """.im""",
    """.iim""",
    """.tif""",
    """.tiff""",
    """.jfif""",
    """.jpe""",
    """.jpg""",
    """.jpeg""",
    """.mpg""",
    """.mpeg""",
    """.msp""",
    """.pcd""",
    """.pxr""",
    """.pbm""",
    """.pgm""",
    """.ppm""",
    """.pnm""",
    """.psd""",
    """.bw""",
    """.rgb""",
    """.rgba""",
    """.sgi""",
    """.ras""",
    """.tga""",
    """.icb""",
    """.vda""",
    """.vst""",
    """.webp""",
    """.wmf""",
    """.emf""",
    """.xbm""",
    """.xpm""",
]
UpperCAmelCase				 =   IMAGE_EXTENSIONS