
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				=get_tests_dir('''fixtures/test_sentencepiece_bpe.model''')




class     _SCREAMING_SNAKE_CASE     (      snake_case_			,       unittest.TestCase						):
	lowerCAmelCase__         = BartphoTokenizer
	lowerCAmelCase__         = False
	lowerCAmelCase__         = True



	def     SCREAMING_SNAKE_CASE_(    self )				->       Optional[Any]:
					super().setUp()

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

					lowerCamelCase_						=			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' )

					lowerCamelCase_						=			BartphoTokenizer(lowercase						,  self.monolingual_vocab_file						,  **self.special_tokens_map )
					tokenizer.save_pretrained(self.tmpdirname )



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



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       Optional[int]:
					lowerCamelCase_						=			"This is a là test"
					lowerCamelCase_						=			"This is a<unk><unk> test"
					return input_text, output_text



	def     SCREAMING_SNAKE_CASE_(    self )				->       Any:
					lowerCamelCase_						=			BartphoTokenizer(lowercase						,  self.monolingual_vocab_file						,  **self.special_tokens_map )
					lowerCamelCase_						=			"This is a là test"
					lowerCamelCase_						=			"▁This ▁is ▁a ▁l à ▁t est".split()
					lowerCamelCase_						=			tokenizer.tokenize(lowercase )
					self.assertListEqual(lowercase						,  lowercase )

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




# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

__A				='''2.13.1'''

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse('''3.7'''):
			raise ImportWarning(
			    '''To use `datasets`, Python>=3.7 is required, and the current version of Python doesn\'t match this condition.'''
			)

if version.parse(pyarrow.__version__).major < 8:
			raise ImportWarning(
			    '''To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn\'t match this condition.\n'''
			    '''If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`.'''
			)

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

__A				=concatenate_datasets
__A				=DownloadConfig
__A				=DownloadManager
__A				=DownloadMode
__A				=DownloadConfig
__A				=DownloadMode
__A				=DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager


