





import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin






class       __A					(					lowerCAmelCase    ,       unittest.TestCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		PhobertTokenizer
			lowerCAmelCase_							  =		False





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				lowerCamelCase__              =	['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
				lowerCamelCase__              =	dict(zip(__lowerCAmelCase ,						range(len(__lowerCAmelCase							)							)							)							)
				lowerCamelCase__              =	['''#version: 0.2''', '''l à</w>''']
				lowerCamelCase__              =	{'''unk_token''': '''<unk>'''}

				lowerCamelCase__              =	os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''vocab_file''']							)
				lowerCamelCase__              =	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 	__lowerCamelCase       (					self ,						**__lowerCAmelCase							):



				'''simple docstring'''







				kwargs.update(self.special_tokens_map							)
				return PhobertTokenizer.from_pretrained(self.tmpdirname ,						**__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	'''Tôi là VinAI Research'''
				lowerCamelCase__              =	'''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
				return input_text, output_text





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	PhobertTokenizer(self.vocab_file ,						self.merges_file ,						**self.special_tokens_map							)
				lowerCamelCase__              =	'''Tôi là VinAI Research'''
				lowerCamelCase__              =	'''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
				lowerCamelCase__              =	tokenizer.tokenize(__lowerCAmelCase							)
				print(__lowerCAmelCase							)
				self.assertListEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

				lowerCamelCase__              =	tokens + [tokenizer.unk_token]

				lowerCamelCase__              =	[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							)










from queue import PriorityQueue
from typing import Any

import numpy as np





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)       ->   float | int:







	'''simple docstring'''







	for nxt, d in graph[v]:
		if nxt in visited_forward:
			continue
		lowerCamelCase__              =	cst_fwd.get(__snake_case ,np.inf							)
		lowerCamelCase__              =	cst_fwd[v] + d
		if new_cost_f < old_cost_f:
			queue.put((new_cost_f, nxt)							)
			lowerCamelCase__              =	new_cost_f
			lowerCamelCase__              =	v
		if nxt in visited_backward:
			if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
				lowerCamelCase__              =	cst_fwd[v] + d + cst_bwd[nxt]
	return shortest_distance





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case							)       ->   int:







	'''simple docstring'''







	lowerCamelCase__              =	-1

	lowerCamelCase__              =	set()
	lowerCamelCase__              =	set()
	lowerCamelCase__              =	{source: 0}
	lowerCamelCase__              =	{destination: 0}
	lowerCamelCase__              =	{source: None}
	lowerCamelCase__              =	{destination: None}
	lowerCamelCase__              =	PriorityQueue()
	lowerCamelCase__              =	PriorityQueue()

	lowerCamelCase__              =	np.inf

	queue_forward.put((0, source)							)
	queue_backward.put((0, destination)							)

	if source == destination:
		return 0

	while not queue_forward.empty() and not queue_backward.empty():
		lowerCamelCase__       ,			lowerCamelCase__              =	queue_forward.get()
		visited_forward.add(__snake_case							)

		lowerCamelCase__       ,			lowerCamelCase__              =	queue_backward.get()
		visited_backward.add(__snake_case							)

		lowerCamelCase__              =	pass_and_relaxation(
		    __snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)

		lowerCamelCase__              =	pass_and_relaxation(
		    __snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,)

		if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
			break

	if shortest_distance != np.inf:
		lowerCamelCase__              =	shortest_distance
	return shortest_path_distance


_a						=   {
    "B": [["C", 1]],
    "C": [["D", 1]],
    "D": [["F", 1]],
    "E": [["B", 1], ["G", 2]],
    "F": [],
    "G": [["F", 1]],
}
_a						=   {
    "B": [["E", 1]],
    "C": [["B", 1]],
    "D": [["C", 1]],
    "F": [["D", 1], ["G", 1]],
    "E": [[None, np.inf]],
    "G": [["E", 2]],
}

if __name__ == "__main__":
			import doctest

			doctest.testmod()



