





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 			__A       (      lowerCamelCase__ ,unittest.TestCase  ):




      """simple docstring"""







      UpperCAmelCase__						=      CTRLTokenizer
      UpperCAmelCase__						=      False
      UpperCAmelCase__						=      False


      def 				__snake_case			(		self):



             """simple docstring"""





             super().setUp()

             # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
             _lowerCamelCase							:     Optional[int]	=		['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
             _lowerCamelCase							:     List[str]	=		dict(zip(a__      ,							range(len(a__))))
             _lowerCamelCase							:     int	=		['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
             _lowerCamelCase							:     List[Any]	=		{'''unk_token''': '''<unk>'''}

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


      def 				__snake_case			(		self      ,							**a__):



             """simple docstring"""





             kwargs.update(self.special_tokens_map)
             return CTRLTokenizer.from_pretrained(self.tmpdirname      ,							**a__)


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             _lowerCamelCase							:     str	=		'''adapt react readapt apt'''
             _lowerCamelCase							:     List[Any]	=		'''adapt react readapt apt'''
             return input_text, output_text



      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     Union[str, Any]	=		CTRLTokenizer(self.vocab_file      ,							self.merges_file      ,							**self.special_tokens_map)
             _lowerCamelCase							:     List[Any]	=		'''adapt react readapt apt'''
             _lowerCamelCase							:     Union[str, Any]	=		'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
             _lowerCamelCase							:     Union[str, Any]	=		tokenizer.tokenize(a__)
             self.assertListEqual(a__      ,							a__)

             _lowerCamelCase							:     List[Any]	=		tokens + [tokenizer.unk_token]

             _lowerCamelCase							:     Dict	=		[0, 1, 2, 4, 5, 1, 0, 3, 6]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(a__)      ,							a__)










import pytest

import datasets


# Import fixture modules as plugins
_lowerCamelCase			       =      ['tests.fixtures.files', 'tests.fixtures.hub', 'tests.fixtures.fsspec']




def    __UpperCAmelCase(      lowercase_ ,    lowercase_      ):
       # Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
       for item in items:
              if any(marker in item.keywords for marker in ['''integration''', '''unit''']      ):
                     continue
              item.add_marker(pytest.mark.unit      )




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




@pytest.fixture(autouse=lowercase_      )
def    __UpperCAmelCase(      lowercase_ ,    lowercase_      ):
       # test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
       _lowerCamelCase							:     Optional[Any]	=		tmp_path_factory.getbasetemp() / '''cache'''
       _lowerCamelCase							:     Optional[Any]	=		test_hf_cache_home / '''datasets'''
       _lowerCamelCase							:     Union[str, Any]	=		test_hf_cache_home / '''metrics'''
       _lowerCamelCase							:     Dict	=		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							:     str	=		test_hf_datasets_cache / '''downloads'''
       monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH''' ,    str(lowercase_      )      )
       _lowerCamelCase							:     Optional[int]	=		test_hf_datasets_cache / '''downloads''' / '''extracted'''
       monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH''' ,    str(lowercase_      )      )




@pytest.fixture(autouse=lowercase_ ,    scope='''session'''      )
def    __UpperCAmelCase(      ):
       datasets.disable_progress_bar()




@pytest.fixture(autouse=lowercase_      )
def    __UpperCAmelCase(      lowercase_      ):
       # don't take tests into account when counting downloads
       monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS''' ,    lowercase_      )




@pytest.fixture
def    __UpperCAmelCase(      lowercase_      ):
       # Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
       # To be removed once SQLAlchemy 2.0 supported
       monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING''' ,    lowercase_      )

