

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    _lowercase				(					__lowerCamelCase,unittest.TestCase			):
   _lowercase     :       List[Any]  					=    FunnelTokenizer
   _lowercase     :       Optional[int]  					=    FunnelTokenizerFast
   _lowercase     :       Dict  					=    True
   _lowercase     :       Optional[Any]  					=    True

   def     UpperCamelCase					(				self	:    List[str]       ) ->			Any:
         """simple docstring"""





         super().setUp()

         A_							       =		[
             '''<unk>''',
             '''<cls>''',
             '''<sep>''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         A_							       =		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     UpperCamelCase					(				self	:    List[Any]			,						**lowerCamelCase__	:    Dict       ) ->			int:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    Optional[int]			,						**lowerCamelCase__	:    List[str]       ) ->			Dict:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    List[Any]			,						lowerCamelCase__	:    int       ) ->			Union[str, Any]:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    Union[str, Any]       ) ->			List[Any]:
         """simple docstring"""





         A_							       =		self.tokenizer_class(self.vocab_file       )

         A_							       =		tokenizer.tokenize('''UNwant\u00E9d,running'''       )
         self.assertListEqual(lowerCamelCase__			,						['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']       )
         self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__       )			,						[7, 4, 5, 1_0, 8, 9]       )





   def     UpperCamelCase					(				self	:    Optional[int]       ) ->			str:
         """simple docstring"""





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

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








from __future__ import annotations







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE = None		,				SCREAMING_SNAKE_CASE = None   ):
      '''simple docstring'''







      if start is None:
            A_							       =		0

      if end is None:
            A_							       =		len(SCREAMING_SNAKE_CASE   ) - 1

      if start >= end:
            return

      A_							       =		(start + end) // 2

      slowsort(SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   )
      slowsort(SCREAMING_SNAKE_CASE		,				mid + 1		,				SCREAMING_SNAKE_CASE   )

      if sequence[end] < sequence[mid]:
            A_       ,A_							       =		sequence[mid], sequence[end]

      slowsort(SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				end - 1   )


if __name__ == "__main__":
      from doctest import testmod

      testmod()





