

"""simple docstring"""




import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A_							:	Optional[Any]      =       get_tests_dir("fixtures/test_sentencepiece_bpe.model")





class       lowerCamelCase  (A__	,unittest.TestCase	):
			lowerCamelCase__      :						List[str]    						=							BartphoTokenizer
			lowerCamelCase__      :						Optional[int]    						=							False
			lowerCamelCase__      :						Optional[Any]    						=							True

			def     SCREAMING_SNAKE_CASE (    self :  Dict				)      ->			Any:
						super().setUp()

						SCREAMING_SNAKE_CASE__									=					["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
						SCREAMING_SNAKE_CASE__									=					dict(zip(__UpperCAmelCase			, range(len(__UpperCAmelCase				)				)				)				)
						SCREAMING_SNAKE_CASE__									=					{"""unk_token""": """<unk>"""}

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

						SCREAMING_SNAKE_CASE__									=					BartphoTokenizer(__UpperCAmelCase			, self.monolingual_vocab_file			, **self.special_tokens_map				)
						tokenizer.save_pretrained(self.tmpdirname				)

			def     SCREAMING_SNAKE_CASE (    self :  List[Any]			, **__UpperCAmelCase :  List[str]				)      ->			Union[str, Any]:
						kwargs.update(self.special_tokens_map				)
						return BartphoTokenizer.from_pretrained(self.tmpdirname			, **__UpperCAmelCase				)

			def     SCREAMING_SNAKE_CASE (    self :  Optional[Any]			, __UpperCAmelCase :  Dict				)      ->			List[Any]:
						SCREAMING_SNAKE_CASE__									=					"""This is a là test"""
						SCREAMING_SNAKE_CASE__									=					"""This is a<unk><unk> test"""
						return input_text, output_text





			def     SCREAMING_SNAKE_CASE (    self :  Any				)      ->			List[str]:
						SCREAMING_SNAKE_CASE__									=					BartphoTokenizer(__UpperCAmelCase			, self.monolingual_vocab_file			, **self.special_tokens_map				)
						SCREAMING_SNAKE_CASE__									=					"""This is a là test"""
						SCREAMING_SNAKE_CASE__									=					"""▁This ▁is ▁a ▁l à ▁t est""".split()
						SCREAMING_SNAKE_CASE__									=					tokenizer.tokenize(__UpperCAmelCase				)
						self.assertListEqual(__UpperCAmelCase			, __UpperCAmelCase				)

						SCREAMING_SNAKE_CASE__									=					tokens + [tokenizer.unk_token]
						SCREAMING_SNAKE_CASE__									=					[4, 5, 6, 3, 3, 7, 8, 3]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)			, __UpperCAmelCase				)







'''simple docstring'''




import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


a   :			List[Any]					  =    """__DUMMY_TRANSFORMERS_USER__"""
a   :			Tuple					  =    """Dummy User"""
a   :			Optional[Any]					  =    """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"""

a   :			Optional[Any]					  =    """https://hub-ci.huggingface.co"""
a   :			List[Any]					  =    CI_HUB_ENDPOINT + """/datasets/{repo_id}/resolve/{revision}/{path}"""
a   :			Tuple					  =    CI_HUB_ENDPOINT + """/{repo_id}/resolve/{revision}/{filename}"""
a   :			str					  =    Path("""~/.huggingface/hub_ci_token""").expanduser()



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			Optional[int]:
							monkeypatch.setattr(
							    """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""	,				_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			List[str]:
							monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""	,				_lowercase		)
							monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""	,				_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			Any:
							monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""	,				_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Optional[Any]:
							HfFolder.save_token(_lowercase		)
							yield
							HfFolder.delete_token()



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					)      ->			str:
							return HfApi(endpoint=_lowercase		)



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase		)      ->			Union[str, Any]:
							UpperCAmelCase     :		str							     =		HfFolder.get_token()
							HfFolder.save_token(_lowercase		)
							yield CI_HUB_USER_TOKEN
							if previous_token is not None:
														HfFolder.save_token(_lowercase		)



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			Any:
							def _cleanup_repo(_lowercase		):
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)

							return _cleanup_repo



@pytest.fixture
def       __lowerCamelCase  (					_lowercase		)      ->			List[str]:
							@contextmanager
							def _temporary_repo(_lowercase		):
														try:
																					yield repo_id
														finally:
																					cleanup_repo(_lowercase		)

							return _temporary_repo



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[str]:
							UpperCAmelCase     :		str							     =		F'''repo_txt_data-{int(time.time() * 10e3		)}'''
							UpperCAmelCase     :		List[Any]							     =		F'''{CI_HUB_USER}/{repo_name}'''
							hf_api.create_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""	,				private=_lowercase		)
							hf_api.upload_file(
							    token=_lowercase	,				path_or_fileobj=str(_lowercase		)	,				path_in_repo="""data/text_data.txt"""	,				repo_id=_lowercase	,				repo_type="""dataset"""	,				)
							yield repo_id
							try:
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)
							except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
														pass



@pytest.fixture()
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[Any]:
							return hf_private_dataset_repo_txt_data_



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			Optional[int]:
							UpperCAmelCase     :		Optional[int]							     =		F'''repo_zipped_txt_data-{int(time.time() * 10e3		)}'''
							UpperCAmelCase     :		Optional[int]							     =		F'''{CI_HUB_USER}/{repo_name}'''
							hf_api.create_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""	,				private=_lowercase		)
							hf_api.upload_file(
							    token=_lowercase	,				path_or_fileobj=str(_lowercase		)	,				path_in_repo="""data.zip"""	,				repo_id=_lowercase	,				repo_type="""dataset"""	,				)
							yield repo_id
							try:
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)
							except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
														pass



@pytest.fixture()
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[str]:
							return hf_private_dataset_repo_zipped_txt_data_



@pytest.fixture(scope="""session"""		)
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			Tuple:
							UpperCAmelCase     :		List[Any]							     =		F'''repo_zipped_img_data-{int(time.time() * 10e3		)}'''
							UpperCAmelCase     :		List[str]							     =		F'''{CI_HUB_USER}/{repo_name}'''
							hf_api.create_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""	,				private=_lowercase		)
							hf_api.upload_file(
							    token=_lowercase	,				path_or_fileobj=str(_lowercase		)	,				path_in_repo="""data.zip"""	,				repo_id=_lowercase	,				repo_type="""dataset"""	,				)
							yield repo_id
							try:
														hf_api.delete_repo(_lowercase	,				token=_lowercase	,				repo_type="""dataset"""		)
							except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
														pass



@pytest.fixture()
def       __lowerCamelCase  (					_lowercase	,				_lowercase	,				_lowercase		)      ->			List[Any]:
							return hf_private_dataset_repo_zipped_img_data_

