import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin





class       lowercase__		(     UpperCamelCase_			,							unittest.TestCase):
						UpperCamelCase_  =	PhobertTokenizer
						UpperCamelCase_  =	False


						def  __A ( self			:       Optional[Any]		):





												'''simple docstring'''





												super().setUp()

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

												SCREAMING_SNAKE_CASE							:					str           =							os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES['''vocab_file''']		)
												SCREAMING_SNAKE_CASE							:					List[str]           =							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(UpperCamelCase__		)		)


						def  __A ( self			:       List[Any]					,	**UpperCamelCase__			:       str		):





												'''simple docstring'''





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


						def  __A ( self			:       Optional[int]					,	UpperCamelCase__			:       Optional[int]		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							'''Tôi là VinAI Research'''
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							'''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			:       Dict		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Any           =							PhobertTokenizer(self.vocab_file					,	self.merges_file					,	**self.special_tokens_map		)
												SCREAMING_SNAKE_CASE							:					str           =							'''Tôi là VinAI Research'''
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							'''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
												SCREAMING_SNAKE_CASE							:					int           =							tokenizer.tokenize(UpperCamelCase__		)
												print(UpperCamelCase__		)
												self.assertListEqual(UpperCamelCase__					,	UpperCamelCase__		)

												SCREAMING_SNAKE_CASE							:					Any           =							tokens + [tokenizer.unk_token]

												SCREAMING_SNAKE_CASE							:					List[str]           =							[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(UpperCamelCase__		)					,	UpperCamelCase__		)






import random
def    A			(					_lowercase	,						_lowercase		):
						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					Tuple           =							[], [], []
						for element in data:
												if element < pivot:
																		less.append(_lowercase		)
												elif element > pivot:
																		greater.append(_lowercase		)
												else:
																		equal.append(_lowercase		)
						return less, equal, greater



def    A			(					_lowercase	,						_lowercase		):
						# index = len(items) // 2 when trying to find the median
						#   (value of index when items is sorted)

						# invalid input
						if index >= len(_lowercase		) or index < 0:
												return None

						SCREAMING_SNAKE_CASE							:					Dict           =							items[random.randint(0	,						len(_lowercase		) - 1		)]
						SCREAMING_SNAKE_CASE							:					int           =							0
						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE       ,						SCREAMING_SNAKE_CASE							:					List[str]           =							_partition(_lowercase	,						_lowercase		)
						SCREAMING_SNAKE_CASE							:					List[Any]           =							len(_lowercase		)
						SCREAMING_SNAKE_CASE							:					Optional[Any]           =							len(_lowercase		)

						# index is the pivot
						if m <= index < m + count:
												return pivot
						# must be in smaller
						elif m > index:
												return quick_select(_lowercase	,						_lowercase		)
						# must be in larger
						else:
												return quick_select(_lowercase	,						index - (m + count)		)





