"""simple docstring"""
import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class        __snake_case	(					__lowerCAmelCase	,				unittest.TestCase    ):
      a__				=		MgpstrTokenizer
      a__				=		False
      a__				=		{}
      a__				=		False



      def   lowerCamelCase_       (						self)     ->      Optional[int]:





        '''simple docstring'''





        super().setUp()

        # fmt: off
        a__:					Optional[Any]      							=     ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
        # fmt: on
        a__:					Optional[Any]      							=     dict(zip(lowercase   ,      range(len(lowercase))))

        a__:					Union[str, Any]      							=     os.path.join(self.tmpdirname   ,      VOCAB_FILES_NAMES['vocab_file'])
        with open(self.vocab_file   ,      'w'   ,      encoding='utf-8') as fp:
          fp.write(json.dumps(lowercase) + '\n')



      def   lowerCamelCase_       (						self   ,      **lowercase)     ->      int:





        '''simple docstring'''





        return MgpstrTokenizer.from_pretrained(self.tmpdirname   ,      **lowercase)



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      int:





        '''simple docstring'''





        a__:					Optional[Any]      							=     'tester'
        a__:					str      							=     'tester'
        return input_text, output_text



      @unittest.skip('MGP-STR always lower cases letters.')
      def   lowerCamelCase_       (						self)     ->      Optional[int]:





        '''simple docstring'''





        pass



      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        a__:					Optional[int]      							=     self.get_tokenizers(do_lower_case=lowercase)
        for tokenizer in tokenizers:
          with self.subTest(f'{tokenizer.__class__.__name__}'):
            a__:					Any      							=     '[SPECIAL_TOKEN]'

            tokenizer.add_special_tokens({'cls_token': special_token})
            a__:					Dict      							=     tokenizer.encode([special_token]   ,      add_special_tokens=lowercase)
            self.assertEqual(len(lowercase)   ,      1)

            a__:					int      							=     tokenizer.decode(lowercase   ,      skip_special_tokens=lowercase)
            self.assertTrue(special_token not in decoded)



      def   lowerCamelCase_       (						self)     ->      List[Any]:





        '''simple docstring'''





        a__:					str      							=     self.get_tokenizers()
        for tokenizer in tokenizers:
          with self.subTest(f'{tokenizer.__class__.__name__}'):
            a__							,   a__:					Any      							=     self.get_input_output_texts(lowercase)

            a__:					int      							=     tokenizer.tokenize(lowercase)
            a__:					int      							=     tokenizer.convert_tokens_to_ids(lowercase)
            a__:					Dict      							=     tokenizer.encode(lowercase   ,      add_special_tokens=lowercase)
            self.assertListEqual(lowercase   ,      lowercase)

            a__:					List[Any]      							=     tokenizer.convert_ids_to_tokens(lowercase)
            self.assertNotEqual(len(lowercase)   ,      0)
            a__:					Dict      							=     tokenizer.decode(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)

            self.assertEqual(text_a.replace(' '   ,      '')   ,      lowercase)



      @unittest.skip('MGP-STR tokenizer only handles one sequence.')
      def   lowerCamelCase_       (						self)     ->      Dict:





        '''simple docstring'''





        pass



      @unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer')
      def   lowerCamelCase_       (						self)     ->      Dict:





        '''simple docstring'''





        pass



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

lowercase__ 	=     '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

lowercase__ 	=     concatenate_datasets
lowercase__ 	=     DownloadConfig
lowercase__ 	=     DownloadManager
lowercase__ 	=     DownloadMode
lowercase__ 	=     DownloadConfig
lowercase__ 	=     DownloadMode
lowercase__ 	=     DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager


