
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( a  ,   unittest.TestCase			):
				snake_case_						   =    CTRLTokenizer
				snake_case_						   =    False
				snake_case_						   =    False




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      List[str]:


								'''simple docstring'''




								super().setUp()

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

								__a										=    os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''vocab_file''']				)
								__a										=    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(_snake_case				) + '''\n'''				)
								with open(self.merges_file		,     '''w'''		,     encoding='''utf-8'''				) as fp:
												fp.write('''\n'''.join(_snake_case				)				)




				def 				SCREAMING_SNAKE_CASE_		(     self		,     **_snake_case				)    ->      List[Any]:


								'''simple docstring'''




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




				def 				SCREAMING_SNAKE_CASE_		(     self		,     _snake_case				)    ->      List[str]:


								'''simple docstring'''




								__a										=    '''adapt react readapt apt'''
								__a										=    '''adapt react readapt apt'''
								return input_text, output_text




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


								'''simple docstring'''




								__a										=    CTRLTokenizer(self.vocab_file		,     self.merges_file		,     **self.special_tokens_map				)
								__a										=    '''adapt react readapt apt'''
								__a										=    '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
								__a										=    tokenizer.tokenize(_snake_case				)
								self.assertListEqual(_snake_case		,     _snake_case				)

								__a										=    tokens + [tokenizer.unk_token]

								__a										=    [0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case				)		,     _snake_case				)

# flake8: noqa
# Lint as: python3
A     :	Optional[Any]    = [
    'VerificationMode',
    'Version',
    'disable_progress_bar',
    'enable_progress_bar',
    'is_progress_bar_enabled',
    'experimental',
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental