



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__A             ={"configuration_vilt": ["VILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViltConfig"]}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A             =["ViltFeatureExtractor"]
				__A             =["ViltImageProcessor"]
				__A             =["ViltProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A             =[
				    "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "ViltForImageAndTextRetrieval",
				    "ViltForImagesAndTextClassification",
				    "ViltForTokenClassification",
				    "ViltForMaskedLM",
				    "ViltForQuestionAnswering",
				    "ViltLayer",
				    "ViltModel",
				    "ViltPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_vilt import ViltFeatureExtractor
								from .image_processing_vilt import ViltImageProcessor
								from .processing_vilt import ViltProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_vilt import (
								    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    ViltForImageAndTextRetrieval,
								    ViltForImagesAndTextClassification,
								    ViltForMaskedLM,
								    ViltForQuestionAnswering,
								    ViltForTokenClassification,
								    ViltLayer,
								    ViltModel,
								    ViltPreTrainedModel,
								)


else:
				import sys

				__A             =_LazyModule(__name__, globals()["__file__"], _import_structure)










def 	a						(				_UpperCAmelCase							: Optional[int]			,       _UpperCAmelCase							: List[Any]						):







		'''simple docstring'''





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

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

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

def 	a						(				_UpperCAmelCase							: Dict			,       _UpperCAmelCase							: List[str]						):







		'''simple docstring'''





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


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

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





