
class 					lowercase__:



	"""simple docstring"""




	def __init__(			self    :     Union[str, Any]			)			->	int:
					lowercase_	    =   {}
	def 		_lowercase    (			self    :     Union[str, Any]			)			->	None:
					print(self.vertex			)
					for i in self.vertex:
									print(SCREAMING_SNAKE_CASE_			,				''' -> '''			,				''' -> '''.join([str(SCREAMING_SNAKE_CASE_			) for j in self.vertex[i]]			)			)
	def 		_lowercase    (			self    :     Dict			,				SCREAMING_SNAKE_CASE_    :     int			,				SCREAMING_SNAKE_CASE_    :     int			)			->	None:
					# check if vertex is already present,
					if from_vertex in self.vertex:
									self.vertex[from_vertex].append(SCREAMING_SNAKE_CASE_			)
					else:
									# else make a new vertex
									lowercase_	    =   [to_vertex]
	def 		_lowercase    (			self    :     str			)			->	None:
					# visited array for storing already visited nodes
					lowercase_	    =   [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 		_lowercase    (			self    :     Union[str, Any]			,				SCREAMING_SNAKE_CASE_    :     int			,				SCREAMING_SNAKE_CASE_    :     list			)			->	None:
					# mark start vertex as visited
					lowercase_	    =   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__":
						__a         =   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 unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
	from transformers import AutoModelForSeqaSeqLM, AutoTokenizer




@require_torch
@require_sentencepiece
@require_tokenizers
class       lowercase_					(unittest.TestCase   ):





				@slow
				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											a__      =AutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'       ,  return_dict=lowercase_).to(lowercase_)
											a__      =AutoTokenizer.from_pretrained('google/mt5-small')

											a__      =tokenizer('Hello there'       ,  return_tensors='pt').input_ids
											a__      =tokenizer('Hi I am'       ,  return_tensors='pt').input_ids

											a__      =model(input_ids.to(lowercase_)       ,  labels=labels.to(lowercase_)).loss
											a__      =-(labels.shape[-1] * loss.item())

											a__      =-84.91_27
											self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)

