





_a						=   "Alexander Joslin"

import operator as op

from .stack import Stack





def lowerCAmelCase__(__snake_case							)       ->   str:







	'''simple docstring'''







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

	lowerCamelCase__              =	Stack()
	lowerCamelCase__              =	Stack()

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

			lowerCamelCase__              =	operators[opr](snake_case_ ,snake_case_							)
			operand_stack.push(snake_case_							)

    # RULE 5
	return operand_stack.peek()


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










import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD





def lowerCAmelCase__(__snake_case							)       ->   Union[str, Any]:







	'''simple docstring'''







	def wrapper(*__snake_case ,**__snake_case							):
		lowerCamelCase__              =	timeit.default_timer()
		lowerCamelCase__              =	func(*__snake_case ,**__snake_case							)
		lowerCamelCase__              =	timeit.default_timer() - starttime
		return delta

	lowerCamelCase__              =	func.__name__

	return wrapper





def lowerCAmelCase__(__snake_case ,__snake_case=100 ,__snake_case=None							)       ->   Optional[Any]:







	'''simple docstring'''







	lowerCamelCase__              =	[]
	lowerCamelCase__              =	seq_shapes or {}
	for i in range(__snake_case							):
		lowerCamelCase__              =	{}
		for col_id, (k, v) in enumerate(features.items()							):
			if isinstance(__snake_case ,_ArrayXD							):
				lowerCamelCase__              =	np.random.rand(*v.shape							).astype(v.dtype							)
			elif isinstance(__snake_case ,datasets.Value							):
				if v.dtype == "string":
					lowerCamelCase__              =	'''The small grey turtle was surprisingly fast when challenged.'''
				else:
					lowerCamelCase__              =	np.random.randint(10 ,size=1							).astype(v.dtype							).item()
			elif isinstance(__snake_case ,datasets.Sequence							):
				while isinstance(__snake_case ,datasets.Sequence							):
					lowerCamelCase__              =	v.feature
				lowerCamelCase__              =	seq_shapes[k]
				lowerCamelCase__              =	np.random.rand(*__snake_case							).astype(v.dtype							)
			lowerCamelCase__              =	data

		dummy_data.append((i, example)							)

	return dummy_data





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case=100 ,__snake_case=None							)       ->   str:







	'''simple docstring'''







	lowerCamelCase__              =	generate_examples(__snake_case ,num_examples=__snake_case ,seq_shapes=__snake_case							)

	with ArrowWriter(features=__snake_case ,path=__snake_case							) as writer:
		for key, record in dummy_data:
			lowerCamelCase__              =	features.encode_example(__snake_case							)
			writer.write(__snake_case							)

		lowerCamelCase__       ,			lowerCamelCase__              =	writer.finalize()

	if not num_final_examples == num_examples:
		raise ValueError(
		    F'Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'							)

	lowerCamelCase__              =	datasets.Dataset.from_file(filename=__snake_case ,info=datasets.DatasetInfo(features=__snake_case							)							)

	return dataset



