
lowerCamelCase__	=							"Alexander Joslin"

import operator as op

from .stack import Stack


def 							__A(lowerCAmelCase )		->				int:

		"""simple docstring"""






		_UpperCamelCase						    =	{"""*""": op.mul, """/""": op.truediv, """+""": op.add, """-""": op.sub}

		_UpperCamelCase						    =	Stack()
		_UpperCamelCase						    =	Stack()

		for i in equation:
				if i.isdigit():
						# RULE 1
						operand_stack.push(int(lowerCAmelCase ) )
				elif i in operators:
						# RULE 2
						operator_stack.push(lowerCAmelCase )
				elif i == ")":
						# RULE 4
						_UpperCamelCase						    =	operator_stack.peek()
						operator_stack.pop()
						_UpperCamelCase						    =	operand_stack.peek()
						operand_stack.pop()
						_UpperCamelCase						    =	operand_stack.peek()
						operand_stack.pop()

						_UpperCamelCase						    =	operators[opr](lowerCAmelCase						,  lowerCAmelCase )
						operand_stack.push(lowerCAmelCase )

    # RULE 5
		return operand_stack.peek()


if __name__ == "__main__":
		lowerCamelCase__	=							"(5 + ((4 * 2) * (2 + 3)))"
		# answer = 45
		print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")





from typing import TYPE_CHECKING

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


lowerCamelCase__	=							{"configuration_yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig", "YolosOnnxConfig"]}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase__	=							["YolosFeatureExtractor"]
		lowerCamelCase__	=							["YolosImageProcessor"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCamelCase__	=							[
		    "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "YolosForObjectDetection",
		    "YolosModel",
		    "YolosPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_yolos import YolosFeatureExtractor
				from .image_processing_yolos import YolosImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_yolos import (
				    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    YolosForObjectDetection,
				    YolosModel,
				    YolosPreTrainedModel,
				)


else:
		import sys

		lowerCamelCase__	=							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



