





"""simple docstring"""




import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class        __UpperCamelCase				(						a__		,       unittest.TestCase						):
							lowerCamelCase   :					str      					=PhobertTokenizer
							lowerCamelCase   :					Any      					=False






							def     __a   (   self      )	-> Dict:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								a      :		Union[str, Any]	=				["T@@", "i", "I", "R@@", "r", "e@@"]
								a      :		str	=				dict(zip(lowerCAmelCase__      ,					range(len(lowerCAmelCase__      )      )      )      )
								a      :		str	=				["#version: 0.2", "l à</w>"]
								a      :		Dict	=				{"unk_token": "<unk>"}

								a      :		int	=				os.path.join(self.tmpdirname      ,					VOCAB_FILES_NAMES["vocab_file"]      )
								a      :		Optional[int]	=				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(lowerCAmelCase__      )      )






							def     __a   (   self      ,					**lowerCAmelCase__      )	-> List[Any]:
								kwargs.update(self.special_tokens_map      )
								return PhobertTokenizer.from_pretrained(self.tmpdirname      ,					**lowerCAmelCase__      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> str:
								a      :		Union[str, Any]	=				"Tôi là VinAI Research"
								a      :		Union[str, Any]	=				"T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
								return input_text, output_text






							def     __a   (   self      )	-> Union[str, Any]:
								a      :		str	=				PhobertTokenizer(self.vocab_file      ,					self.merges_file      ,					**self.special_tokens_map      )
								a      :		List[Any]	=				"Tôi là VinAI Research"
								a      :		int	=				"T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
								a      :		Union[str, Any]	=				tokenizer.tokenize(lowerCAmelCase__      )
								print(lowerCAmelCase__      )
								self.assertListEqual(lowerCAmelCase__      ,					lowerCAmelCase__      )

								a      :		Optional[int]	=				tokens + [tokenizer.unk_token]

								a      :		int	=				[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__      )      ,					lowerCAmelCase__      )









"""simple docstring"""




import heapq as hq
import math
from collections.abc import Iterator


class        __UpperCamelCase				:






							def __init__(   self      ,					lowerCAmelCase__      )	-> Optional[int]:
								a      :		List[str]	=				str(id_      )
								a      :		Optional[Any]	=				None
								a      :		Tuple	=				None
								a      :		str	=				[]
								a      :		Any	=				{}  # {vertex:distance}






							def __lt__(   self      ,					lowerCAmelCase__      )	-> Any:
								return self.key < other.key






							def __repr__(   self      )	-> Optional[Any]:
								return self.id






							def     __a   (   self      ,					lowerCAmelCase__      )	-> Any:
								self.neighbors.append(lowerCAmelCase__      )






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )	-> Tuple:
								a      :		Optional[Any]	=				weight






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int    ,       _lowercase						:    int    ,       _lowercase						:    int    ,       _lowercase						:    Union[str, Any]					) ->str:






	'''simple docstring'''






	graph[a - 1].add_neighbor(graph[b - 1]					)
	graph[b - 1].add_neighbor(graph[a - 1]					)
	# add the edges:
	graph[a - 1].add_edge(graph[b - 1]    ,       _lowercase					)
	graph[b - 1].add_edge(graph[a - 1]    ,       _lowercase					)






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    list    ,       _lowercase						:    Vertex					) ->list:






	'''simple docstring'''






	a      :		int	=				[]
	for u in graph:
		a      :		List[str]	=				math.inf
		a      :		int	=				None
	a      :		str	=				0
	a      :		Union[str, Any]	=				graph[:]
	while q:
		a      :		List[Any]	=				min(_lowercase					)
		q.remove(_lowercase					)
		for v in u.neighbors:
			if (v in q) and (u.edges[v.id] < v.key):
				a      :		List[Any]	=				u
				a      :		Optional[int]	=				u.edges[v.id]
	for i in range(1    ,       len(_lowercase					)					):
		a.append((int(graph[i].id					) + 1, int(graph[i].pi.id					) + 1)					)
	return a






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    list    ,       _lowercase						:    Vertex					) ->Iterator[tuple]:






	'''simple docstring'''






	for u in graph:
		a      :		str	=				math.inf
		a      :		Dict	=				None
	a      :		Dict	=				0

	a      :		List[Any]	=				list(_lowercase					)
	hq.heapify(_lowercase					)

	while h:
		a      :		Dict	=				hq.heappop(_lowercase					)
		for v in u.neighbors:
			if (v in h) and (u.edges[v.id] < v.key):
				a      :		Dict	=				u
				a      :		Optional[Any]	=				u.edges[v.id]
				hq.heapify(_lowercase					)

	for i in range(1    ,       len(_lowercase					)					):
		yield (int(graph[i].id					) + 1, int(graph[i].pi.id					) + 1)






def       _SCREAMING_SNAKE_CASE		(	) ->None:






	'''simple docstring'''








if __name__ == "__main__":
		import doctest

		doctest.testmod()


