






'''simple docstring'''





import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin
class  lowerCAmelCase_       (				snake_case__     ,    unittest.TestCase					):
							UpperCamelCase_		:Optional[Any]		      =    PhobertTokenizer
							UpperCamelCase_		:str		      =    False




							def 						__snake_case					(   self     :   str	):
											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 						__snake_case					(   self     :   List[str] ,							**SCREAMING_SNAKE_CASE_     :   Optional[int]	):
											kwargs.update(self.special_tokens_map	)
											return PhobertTokenizer.from_pretrained(self.tmpdirname ,							**__lowerCAmelCase	)




							def 						__snake_case					(   self     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]	):
											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 						__snake_case					(   self     :   List[str]	):
											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	)













import pytest

import datasets


# Import fixture modules as plugins
_UpperCAmelCase			:		Tuple   				=    ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]     ,					lowercase__						:       int       )		->    Any:


				'''simple docstring'''




				for item in items:
								if any(marker in item.keywords for marker in ['''integration''', '''unit''']       ):
												continue
								item.add_marker(pytest.mark.unit       )





def 	lowerCAmelCase_		(lowercase__						:       str       )		->    List[str]:


				'''simple docstring'''




				config.addinivalue_line('''markers'''     ,					'''torchaudio_latest: mark test to run with torchaudio>=0.12'''       )





@pytest.fixture(autouse=lowercase__       )
def 	lowerCAmelCase_		(lowercase__						:       int     ,					lowercase__						:       Dict       )		->    Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						tmp_path_factory.getbasetemp() / '''cache'''
				lowerCAmelCase__      			=						test_hf_cache_home / '''datasets'''
				lowerCAmelCase__      			=						test_hf_cache_home / '''metrics'''
				lowerCAmelCase__      			=						test_hf_cache_home / '''modules'''
				monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''     ,					str(lowercase__       )       )
				monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''     ,					str(lowercase__       )       )
				monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''     ,					str(lowercase__       )       )
				lowerCAmelCase__      			=						test_hf_datasets_cache / '''downloads'''
				monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''     ,					str(lowercase__       )       )
				lowerCAmelCase__      			=						test_hf_datasets_cache / '''downloads''' / '''extracted'''
				monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''     ,					str(lowercase__       )       )





@pytest.fixture(autouse=lowercase__     ,					scope='''session'''       )
def 	lowerCAmelCase_		()		->    int:


				'''simple docstring'''




				datasets.disable_progress_bar()





@pytest.fixture(autouse=lowercase__       )
def 	lowerCAmelCase_		(lowercase__						:       Dict       )		->    List[str]:


				'''simple docstring'''




				monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''     ,					lowercase__       )





@pytest.fixture
def 	lowerCAmelCase_		(lowercase__						:       List[str]       )		->    List[Any]:


				'''simple docstring'''




				monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''     ,					lowercase__       )





