




import math




def      __magic_name__							(					A						:   List[Any]  ):






			'''simple docstring'''







			a       =     math.log(2,    10  ) * number
			a       =     round((log_number - int(A  )),    15  )

			return difference




def      __magic_name__							(					A						:   List[Any] = 678910  ):






			'''simple docstring'''







			a       =     90
			a       =     0

			a       =     math.log(1.23,    10  )
			a       =     math.log(1.24,    10  )
			a       =     0

			while position < number:
						a       =     log_difference(A  )

						if difference >= upper_limit:
									power_iterator += 93

						elif difference < lower_limit:
									power_iterator += 196

						else:
									a       =     power_iterator
									power_iterator += 196
									position += 1

			return previous_power


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		print(F'''{solution() = }''')








from __future__ import annotations

from queue import Queue


class 	UpperCamelCase__       :

						'''simple docstring'''



						def __init__(  self	)  ->None:
									UpperCAmelCase__		:dict[int, list[int]] 		=    {}


						def    A__       (  self	)  ->None:
									for i in self.vertices:
												print(A  , ' : '  , ' -> '.join([str(A	) for j in self.vertices[i]]	)	)


						def    A__       (  self  , A  , A	)  ->None:
									if from_vertex in self.vertices:
												self.vertices[from_vertex].append(A	)
									else:
												UpperCAmelCase__		:Union[str, Any] 		=    [to_vertex]


						def    A__       (  self  , A	)  ->set[int]:
									UpperCAmelCase__		:str 		=    set()

									# create a first in first out queue to store all the vertices for BFS
									UpperCAmelCase__		:Queue 		=    Queue()

									# mark the source node as visited and enqueue it
									visited.add(A	)
									queue.put(A	)

									while not queue.empty():
												UpperCAmelCase__		:List[str] 		=    queue.get()

												# loop through all adjacent vertex and enqueue it if not yet visited
												for adjacent_vertex in self.vertices[vertex]:
															if adjacent_vertex not in visited:
																		queue.put(A	)
																		visited.add(A	)
									return visited


if __name__ == "__main__":
						from doctest import testmod

						testmod(verbose=True)

						__snake_case					:							Any           =							Graph()
						g.add_edge(0, 1)
						g.add_edge(0, 2)
						g.add_edge(1, 2)
						g.add_edge(2, 0)
						g.add_edge(2, 3)
						g.add_edge(3, 3)

						g.print_graph()
						# 0  :  1 -> 2
						# 1  :  2
						# 2  :  0 -> 3
						# 3  :  3

						assert sorted(g.bfs(2)) == [0, 1, 2, 3]





