




import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class   A(						UpperCamelCase							,				unittest.TestCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						FunnelTokenizer
 UpperCamelCase						       =						FunnelTokenizerFast
 UpperCamelCase						       =						True
 UpperCamelCase						       =						True

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

       """simple docstring"""






       super().setUp()

       lowerCamelCase_							=   [
           '<unk>',
           '<cls>',
           '<sep>',
           'want',
           '##want',
           '##ed',
           'wa',
           'un',
           'runn',
           '##ing',
           ',',
           'low',
           'lowest',
       ]
       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 :  int						,							**A_ :  List[str]  )       ->     Any:

       """simple docstring"""






       return FunnelTokenizer.from_pretrained(self.tmpdirname						,							**A_  )

 def     a__			(    self :  int						,							**A_ :  Dict  )       ->     str:

       """simple docstring"""






       return FunnelTokenizerFast.from_pretrained(self.tmpdirname						,							**A_  )

 def     a__			(    self :  str						,							A_ :  str  )       ->     Dict:

       """simple docstring"""






       lowerCamelCase_							=   'UNwant\u00E9d,running'
       lowerCamelCase_							=   'unwanted, running'
       return input_text, output_text

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

       """simple docstring"""






       lowerCamelCase_							=   self.tokenizer_class(self.vocab_file  )

       lowerCamelCase_							=   tokenizer.tokenize('UNwant\u00E9d,running'  )
       self.assertListEqual(A_						,							['un', '##want', '##ed', ',', 'runn', '##ing']  )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(A_  )						,							[7, 4, 5, 10, 8, 9]  )





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

       """simple docstring"""






       lowerCamelCase_							=   self.get_tokenizers(do_lower_case=A_  )
       for tokenizer in tokenizers:
             lowerCamelCase_							=   tokenizer('UNwant\u00E9d,running'  )
             lowerCamelCase_							=   len(inputs['input_ids']  ) - 1
             self.assertListEqual(inputs['token_type_ids']						,							[2] + [0] * sentence_len  )

             lowerCamelCase_							=   tokenizer('UNwant\u00E9d,running'						,							'UNwant\u00E9d,running'  )
             self.assertListEqual(inputs['token_type_ids']						,							[2] + [0] * sentence_len + [1] * sentence_len  )









from ..utils import DummyObject, requires_backends







class   A(						metaclass=UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						['''keras_nlp''']

 def __init__(    self :  Optional[int]						,							*A_ :  Any						,							**A_ :  Dict  )       ->     Optional[int]:

       """simple docstring"""






       requires_backends(self						,							['keras_nlp']  )



