"""simple docstring"""






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     snake_case	(			__A				,   unittest.TestCase    ):




					"""simple docstring"""

					snake_case__       =			MPNetTokenizer
					snake_case__       =			MPNetTokenizerFast
					snake_case__       =			True
					snake_case__       =			True







					def 		__lowerCAmelCase						(    self       :     List[Any]      ):
									super().setUp()

									UpperCAmelCase__					=							[
									    "[UNK]",
									    "[CLS]",
									    "[SEP]",
									    "[PAD]",
									    "[MASK]",
									    "want",
									    "##want",
									    "##ed",
									    "wa",
									    "un",
									    "runn",
									    "##ing",
									    ",",
									    "low",
									    "lowest",
									]
									UpperCAmelCase__					=							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 		__lowerCAmelCase						(    self       :     Dict   ,lowerCamelCase__       :     List[Any]      ):
									UpperCAmelCase__					=							"UNwant\u00E9d,running"
									UpperCAmelCase__					=							"unwanted, running"
									return input_text, output_text







					def 		__lowerCAmelCase						(    self       :     int      ):
									UpperCAmelCase__					=							self.tokenizer_class(self.vocab_file      )

									UpperCAmelCase__					=							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 		__lowerCAmelCase						(    self       :     Optional[int]      ):
									UpperCAmelCase__					=							self.tokenizer_class.from_pretrained('microsoft/mpnet-base'      )

									UpperCAmelCase__					=							tokenizer.encode('sequence builders'   ,add_special_tokens=lowerCamelCase__      )
									UpperCAmelCase__					=							tokenizer.encode('multi-sequence build'   ,add_special_tokens=lowerCamelCase__      )

									UpperCAmelCase__					=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase__      )
									UpperCAmelCase__					=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase__   ,lowerCamelCase__      )

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




"""simple docstring"""






from __future__ import annotations
class     snake_case	:




					"""simple docstring"""

					def __init__(    self       :     Tuple   ,lowerCamelCase__       :     int      ):
									UpperCAmelCase__					=							vertices
									UpperCAmelCase__					=							[[0] * vertices for _ in range(lowerCamelCase__      )]







					def 		__lowerCAmelCase						(    self       :     Dict   ,lowerCamelCase__       :     list[int]      ):
									print('Vertex \t Distance from Source'      )
									for vertex in range(self.vertices      ):
													print(lowerCamelCase__   ,'\t\t'   ,distances_from_source[vertex]      )







					def 		__lowerCAmelCase						(    self       :     List[Any]   ,lowerCamelCase__       :     list[int]   ,lowerCamelCase__       :     list[bool]      ):
									UpperCAmelCase__					=							1e7
									UpperCAmelCase__					=							0

									# Search not nearest vertex not in the shortest path tree
									for vertex in range(self.vertices      ):
													if distances_from_source[vertex] < minimum and visited[vertex] is False:
																	UpperCAmelCase__					=							distances_from_source[vertex]
																	UpperCAmelCase__					=							vertex
									return min_index







					def 		__lowerCAmelCase						(    self       :     List[Any]   ,lowerCamelCase__       :     int      ):
									UpperCAmelCase__					=							[int(1e7      )] * self.vertices  # distances from the source
									UpperCAmelCase__					=							0
									UpperCAmelCase__					=							[False] * self.vertices

									for _ in range(self.vertices      ):
													UpperCAmelCase__					=							self.minimum_distance(lowerCamelCase__   ,lowerCamelCase__      )
													UpperCAmelCase__					=							True

													# Update dist value of the adjacent vertices
													# of the picked vertex only if the current
													# distance is greater than new distance and
													# the vertex in not in the shortest path tree
													for v in range(self.vertices      ):
																	if (
																	    self.graph[u][v] > 0
																	    and visited[v] is False
																	    and distances[v] > distances[u] + self.graph[u][v]
																	):
																					UpperCAmelCase__					=							distances[u] + self.graph[u][v]

									self.print_solution(lowerCamelCase__      )


if __name__ == "__main__":
						lowerCAmelCase__  :  List[str]											=     Graph(9)
						lowerCAmelCase__  :  Tuple											=     [
						    [0, 4, 0, 0, 0, 0, 0, 8, 0],
						    [4, 0, 8, 0, 0, 0, 0, 11, 0],
						    [0, 8, 0, 7, 0, 4, 0, 0, 2],
						    [0, 0, 7, 0, 9, 14, 0, 0, 0],
						    [0, 0, 0, 9, 0, 10, 0, 0, 0],
						    [0, 0, 4, 14, 10, 0, 2, 0, 0],
						    [0, 0, 0, 0, 0, 2, 0, 1, 6],
						    [8, 11, 0, 0, 0, 0, 1, 0, 7],
						    [0, 0, 2, 0, 0, 0, 6, 7, 0],
						]
						graph.dijkstra(0)



