


"""simple docstring"""






from __future__ import annotations

from collections import deque
from queue import Queue
from timeit import timeit

UpperCamelCase__							:Dict       =  {
    """A""": ["""B""", """C"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E"""],
}





def 							A_					(   snake_case__					,				snake_case__		)				->     list[str]:
			_UpperCamelCase				:Optional[int]				    =  {start}
			_UpperCamelCase				:Dict				    =  [start]
			_UpperCamelCase				:Queue				    =  Queue()
			queue.put(snake_case__		)
			while not queue.empty():
						_UpperCamelCase				:List[str]				    =  queue.get()
						for w in graph[v]:
									if w not in explored:
												explored.add(snake_case__		)
												result.append(snake_case__		)
												queue.put(snake_case__		)
			return result





def 							A_					(   snake_case__					,				snake_case__		)				->     list[str]:
			_UpperCamelCase				:Any				    =  {start}
			_UpperCamelCase				:Union[str, Any]				    =  [start]
			_UpperCamelCase				:Optional[int]				    =  deque([start]		)
			while queue:
						_UpperCamelCase				:Dict				    =  queue.popleft()
						for child in graph[v]:
									if child not in visited:
												visited.add(snake_case__		)
												result.append(snake_case__		)
												queue.append(snake_case__		)
			return result





def 							A_					(   snake_case__		)				->     None:
			_UpperCamelCase				:Union[str, Any]				    =  f"from __main__ import G, {name}"
			_UpperCamelCase				:Dict				    =  1_00_00
			_UpperCamelCase				:List[str]				    =  timeit(f"{name}(G, 'A')"					,				setup=snake_case__					,				number=snake_case__		)
			print(f"{name:<35} finished {number} runs in {res:.5f} seconds"		)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							benchmark_function("""breadth_first_search""")
							benchmark_function("""breadth_first_search_with_deque""")
							# breadth_first_search                finished 10000 runs in 0.20999 seconds
							# breadth_first_search_with_deque     finished 10000 runs in 0.01421 seconds





"""simple docstring"""






class     A:

		"""simple docstring"""





		def __init__(   self      )			->  List[str]:

					"""simple docstring"""



					_UpperCamelCase				:List[Any]				    =  []
					_UpperCamelCase				:Dict				    =  0
					_UpperCamelCase				:List[Any]				    =  0
		def __str__(   self      )			->  Optional[int]:

					"""simple docstring"""



					_UpperCamelCase				:Optional[Any]				    =  '''<''' + str(self.entries      )[1:-1] + '''>'''
					return printed
		def      _UpperCamelCase(   self				,							SCREAMING_SNAKE_CASE__      )			->  Tuple:

					"""simple docstring"""



					self.entries.append(SCREAMING_SNAKE_CASE__      )
					_UpperCamelCase				:Union[str, Any]				    =  self.length + 1
		def      _UpperCamelCase(   self      )			->  Dict:

					"""simple docstring"""



					_UpperCamelCase				:str				    =  self.length - 1
					_UpperCamelCase				:Optional[int]				    =  self.entries[self.front]
					# self.front-=1
					# self.entries = self.entries[self.front:]
					_UpperCamelCase				:Tuple				    =  self.entries[1:]
					return dequeued
		def      _UpperCamelCase(   self				,							SCREAMING_SNAKE_CASE__      )			->  str:

					"""simple docstring"""



					for _ in range(SCREAMING_SNAKE_CASE__      ):
								self.put(self.get()      )
		def      _UpperCamelCase(   self      )			->  str:

					"""simple docstring"""



					return self.entries[0]
		def      _UpperCamelCase(   self      )			->  Union[str, Any]:

					"""simple docstring"""



					return self.length

