




import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class     A(		UpperCamelCase				, unittest.TestCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		TransfoXLTokenizer
 UpperCamelCase		  =		False
 UpperCamelCase		  =		False

 def 							a__					(							self   :    Optional[Any]    )  ->      int:

       """simple docstring"""






       super().setUp()

       lowerCamelCase_							=       [
           '<unk>',
           '[CLS]',
           '[SEP]',
           'want',
           'unwanted',
           'wa',
           'un',
           'running',
           ',',
           'low',
           'l',
       ]
       lowerCamelCase_							=       os.path.join(self.tmpdirname		,				VOCAB_FILES_NAMES['vocab_file']    )
       with open(self.vocab_file		,				'w'		,				encoding='utf-8'    ) as vocab_writer:
             vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]    )    )

 def 							a__					(							self   :    Optional[Any]		,				**A_   :    Tuple    )  ->      Any:

       """simple docstring"""






       lowerCamelCase_							=       True
       return TransfoXLTokenizer.from_pretrained(self.tmpdirname		,				**A_    )

 def 							a__					(							self   :    List[str]		,				A_   :    Dict    )  ->      Any:

       """simple docstring"""






       lowerCamelCase_							=       '<unk> UNwanted , running'
       lowerCamelCase_							=       '<unk> unwanted, running'
       return input_text, output_text

 def 							a__					(							self   :    List[Any]    )  ->      Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_							=       TransfoXLTokenizer(vocab_file=self.vocab_file		,				lower_case=A_    )

       lowerCamelCase_							=       tokenizer.tokenize('<unk> UNwanted , running'    )
       self.assertListEqual(A_		,				['<unk>', 'unwanted', ',', 'running']    )

       self.assertListEqual(tokenizer.convert_tokens_to_ids(A_    )		,				[0, 4, 8, 7]    )

 def 							a__					(							self   :    Any    )  ->      str:

       """simple docstring"""






       lowerCamelCase_							=       TransfoXLTokenizer(lower_case=A_    )

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  '    )		,				['hello', '!', 'how', 'are', 'you', '?']    )

 def 							a__					(							self   :    int    )  ->      Dict:

       """simple docstring"""






       lowerCamelCase_							=       TransfoXLTokenizer(lower_case=A_    )

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  '    )		,				['HeLLo', '!', 'how', 'Are', 'yoU', '?']    )

 def 							a__					(							self   :    List[Any]    )  ->      Tuple:

       """simple docstring"""






       lowerCamelCase_							=       TransfoXLTokenizer(lower_case=A_    )
       lowerCamelCase_							=       'Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'
       lowerCamelCase_							=       [
           'Hello',
           '(',
           'bracket',
           ')',
           'and',
           'side',
           '@-@',
           'scrolled',
           '[',
           'and',
           ']',
           'Henry',
           '\'s',
           '$',
           '5',
           '@,@',
           '000',
           'with',
           '3',
           '@.@',
           '34',
           'm',
           '.',
           'What',
           '\'s',
           'up',
           '!',
           '?',
       ]

       self.assertListEqual(tokenizer.tokenize(A_    )		,				A_    )

       self.assertEqual(tokenizer.convert_tokens_to_string(A_    )		,				A_    )





 def 							a__					(							self   :    Optional[int]    )  ->      Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_							=       self.get_tokenizer()
       lowerCamelCase_							=       len(A_    )

       tokenizer.add_tokens(['new1', 'new2']    )
       tokenizer.move_added_token('new1'		,				1    )

       # Check that moved token is not copied (duplicate)
       self.assertEqual(len(A_    )		,				original_len + 2    )
       # Check that token is moved to specified id
       self.assertEqual(tokenizer.encode('new1'    )		,				[1]    )
       self.assertEqual(tokenizer.decode([1]    )		,				'new1'    )





import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




