



import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 			_lowercase							(     lowerCAmelCase,   unittest.TestCase			):





	"""simple docstring"""
	__A					=							MPNetTokenizer
	__A					=							MPNetTokenizerFast
	__A					=							True
	__A					=							True




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						super().setUp()

						a        =     [
						    "[UNK]",
						    "[CLS]",
						    "[SEP]",
						    "[PAD]",
						    "[MASK]",
						    "want",
						    "##want",
						    "##ed",
						    "wa",
						    "un",
						    "runn",
						    "##ing",
						    ",",
						    "low",
						    "lowest",
						]
						a        =     os.path.join(self.tmpdirname	, VOCAB_FILES_NAMES["vocab_file"]	)
						with open(self.vocab_file	, "w"	, encoding="utf-8"	) as vocab_writer:
											vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)




	def   UpperCamelCase_ (self	, lowerCamelCase_	):
						"""simple docstring"""

						a        =     "UNwant\u00E9d,running"
						a        =     "unwanted, running"
						return input_text, output_text




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     self.tokenizer_class(self.vocab_file	)

						a        =     tokenizer.tokenize("UNwant\u00E9d,running"	)
						self.assertListEqual(lowerCamelCase_	, ["un", "##want", "##ed", ",", "runn", "##ing"]	)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_	)	, [9, 6, 7, 12, 10, 11]	)




	@slow
	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     self.tokenizer_class.from_pretrained("microsoft/mpnet-base"	)

						a        =     tokenizer.encode("sequence builders"	, add_special_tokens=lowerCamelCase_	)
						a        =     tokenizer.encode("multi-sequence build"	, add_special_tokens=lowerCamelCase_	)

						a        =     tokenizer.build_inputs_with_special_tokens(lowerCamelCase_	)
						a        =     tokenizer.build_inputs_with_special_tokens(lowerCamelCase_	, lowerCamelCase_	)

						assert encoded_sentence == [0] + text + [2]
						assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]





def 					a(   A :					Optional[Any]				,  A :					List[str] )	-> List[Any]:
					"""simple docstring"""





					print("\nVertex Distance" )
					for i in range(A ):
										if dist[i] != float("inf" ):
															print(A				,  "\t"				,  int(dist[i] )				,  end="\t" )
										else:
															print(A				,  "\t"				,  "INF"				,  end="\t" )
										print()






def 					a(   A :					str				,  A :					int				,  A :					int )	-> Optional[int]:
					"""simple docstring"""





					a        =     float("inf" )
					a        =     -1
					for i in range(A ):
										if (not vset[i]) and mdist[i] < min_val:
															a        =     i
															a        =     mdist[i]
					return min_ind






def 					a(   A :					List[str]				,  A :					Union[str, Any]				,  A :					Dict )	-> Tuple:
					"""simple docstring"""





					a        =     [float("inf" ) for _ in range(A )]
					a        =     [False for _ in range(A )]
					a        =     0.0

					for _ in range(v - 1 ):
										a        =     min_dist(A				,  A				,  A )
										a        =     True

										for i in range(A ):
															if (
															    (not vset[i])
															    and graph[u][i] != float("inf" )
															    and mdist[u] + graph[u][i] < mdist[i]
															):
																				a        =     mdist[u] + graph[u][i]

					print_dist(A				,  A )


if __name__ == "__main__":
				_lowercase:				Any       =	int(input("Enter number of vertices: ").strip())
				_lowercase:				Optional[Any]       =	int(input("Enter number of edges: ").strip())

				_lowercase:				List[str]       =	[[float("inf") for i in range(V)] for j in range(V)]

				for i in range(V):
								_lowercase:				List[Any]       =	0.0

				for i in range(E):
								print("\nEdge ", i + 1)
								_lowercase:				Tuple       =	int(input("Enter source:").strip())
								_lowercase:				Tuple       =	int(input("Enter destination:").strip())
								_lowercase:				int       =	float(input("Enter weight:").strip())
								_lowercase:				str       =	weight

				_lowercase:				Union[str, Any]       =	int(input("\nEnter shortest path source:").strip())
				dijkstra(graph, V, gsrc)
