





import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class  _UpperCAmelCase       (     _a					,							unittest.TestCase			):
					UpperCamelCase								=							BertweetTokenizer
					UpperCamelCase								=							False


					def      lowerCamelCase	( self      :Tuple		):
												super().setUp()

												# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
												A		=  ["I", "m", "V@@", "R@@", "r", "e@@"]
												A		=  dict(zip(SCREAMING_SNAKE_CASE__					,	range(len(SCREAMING_SNAKE_CASE__		)		)		)		)
												A		=  ["#version: 0.2", "a m</w>"]
												A		=  {"unk_token": "<unk>"}

												A		=  os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES["vocab_file"]		)
												A		=  os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES["merges_file"]		)
												with open(self.vocab_file					,	"w"					,	encoding="utf-8"		) as fp:
																			for token in vocab_tokens:
																										fp.write(f"{token} {vocab_tokens[token]}\n"		)
												with open(self.merges_file					,	"w"					,	encoding="utf-8"		) as fp:
																			fp.write("\n".join(SCREAMING_SNAKE_CASE__		)		)


					def      lowerCamelCase	( self      :str					,	**__UpperCamelCase      :Tuple		):
												kwargs.update(self.special_tokens_map		)
												return BertweetTokenizer.from_pretrained(self.tmpdirname					,	**SCREAMING_SNAKE_CASE__		)


					def      lowerCamelCase	( self      :Optional[Any]					,	__UpperCamelCase      :Dict		):
												A		=  "I am VinAI Research"
												A		=  "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
												return input_text, output_text


					def      lowerCamelCase	( self      :Tuple		):
												A		=  BertweetTokenizer(self.vocab_file					,	self.merges_file					,	**self.special_tokens_map		)
												A		=  "I am VinAI Research"
												A		=  "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
												A		=  tokenizer.tokenize(SCREAMING_SNAKE_CASE__		)
												self.assertListEqual(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__		)

												A		=  tokens + [tokenizer.unk_token]

												A		=  [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)					,	SCREAMING_SNAKE_CASE__		)









"""simple docstring"""
from __future__ import annotations






class  _UpperCAmelCase       :


					def __init__( self      :Optional[Any]					,	__UpperCamelCase      :int		):
												A		=  vertices
												A		=  [[0] * vertices for _ in range(__UpperCamelCase		)]


					def      lowerCamelCase	( self      :Optional[Any]					,	__UpperCamelCase      :list[int]		):
												print("Vertex \t Distance from Source"		)
												for vertex in range(self.vertices		):
																			print(__UpperCamelCase					,	"\t\t"					,	distances_from_source[vertex]		)


					def      lowerCamelCase	( self      :Union[str, Any]					,	__UpperCamelCase      :list[int]					,	__UpperCamelCase      :list[bool]		):
												A		=  1e7
												A		=  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:
																										A		=  distances_from_source[vertex]
																										A		=  vertex
												return min_index


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

												for _ in range(self.vertices		):
																			A		=  self.minimum_distance(__UpperCamelCase					,	__UpperCamelCase		)
																			A		=  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]
																										):
																																	A		=  distances[u] + self.graph[u][v]

												self.print_solution(__UpperCamelCase		)


if __name__ == "__main__":
		_snake_case					:		List[Any]							=			Graph(9)
		_snake_case					:		List[str]							=			[
		    [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)


