
class        SCREAMING_SNAKE_CASE__    :

							"""simple docstring"""






							def __init__(  self			)->   str:





													'''simple docstring'''






													__UpperCamelCase       =			{}



							def     A__		(  self			)->   None:





													'''simple docstring'''






													print(self.vertex			)
													for i in self.vertex:
																			print(SCREAMING_SNAKE_CASE_     ,	''' -> '''     ,	''' -> '''.join([str(SCREAMING_SNAKE_CASE_			) for j in self.vertex[i]]			)			)



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)->   None:





													'''simple docstring'''






													if from_vertex in self.vertex:
																			self.vertex[from_vertex].append(SCREAMING_SNAKE_CASE_			)
													else:
																			# else make a new vertex
																			__UpperCamelCase       =			[to_vertex]



							def     A__		(  self			)->   None:





													'''simple docstring'''






													__UpperCamelCase       =			[False] * len(self.vertex			)

													# call the recursive helper function
													for i in range(len(self.vertex			)			):
																			if not visited[i]:
																									self.dfs_recursive(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)->   None:





													'''simple docstring'''






													__UpperCamelCase       =			True

													print(SCREAMING_SNAKE_CASE_     ,	end=''' '''			)

													# Recur for all the vertices that are adjacent to this node
													for i in self.vertex:
																			if not visited[i]:
																									self.dfs_recursive(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
				lowercase__							:							Optional[int]									=			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()
				print("DFS:")
				g.dfs()

				# OUTPUT:
				# 0  ->  1 -> 2
				# 1  ->  2
				# 2  ->  0 -> 3
				# 3  ->  3
				# DFS:
				#  0 1 2 3






import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def 	A_ (							snake_case							:   str ,      snake_case							:   str ,      **snake_case							:   List[str] )      ->    Dict:



						'''simple docstring'''

						__UpperCamelCase       =			AutoConfig.from_pretrained(snake_case ,      **snake_case )
						__UpperCamelCase       =			AutoModelForSeqaSeqLM.from_config(snake_case )
						model.save_pretrained(snake_case )
						AutoTokenizer.from_pretrained(snake_case ).save_pretrained(snake_case )
						return model


if __name__ == "__main__":
				fire.Fire(save_randomly_initialized_version)




