


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     ):
      UpperCamelCase__							:  Optional[int]      =FunnelTokenizer
      UpperCamelCase__							:  int      =FunnelTokenizerFast
      UpperCamelCase__							:  Any      =True
      UpperCamelCase__							:  Union[str, Any]      =True






      def        lowerCamelCase       (					self						:     Dict )					->						Optional[Any]:
             """simple docstring"""




             super().setUp()

             _lowerCamelCase       :		Dict		=[
                 '<unk>',
                 '<cls>',
                 '<sep>',
                 'want',
                 '##want',
                 '##ed',
                 'wa',
                 'un',
                 'runn',
                 '##ing',
                 ',',
                 'low',
                 'lowest',
             ]
             _lowerCamelCase       :		Dict		=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        lowerCamelCase       (					self						:     str			,   **lowercase_						:     Any )					->						Any:
             """simple docstring"""




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






      def        lowerCamelCase       (					self						:     List[str]			,   **lowercase_						:     str )					->						Optional[int]:
             """simple docstring"""




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






      def        lowerCamelCase       (					self						:     int			,   lowercase_						:     int )					->						List[Any]:
             """simple docstring"""




             _lowerCamelCase       :		Union[str, Any]		='UNwant\u00E9d,running'
             _lowerCamelCase       :		Tuple		='unwanted, running'
             return input_text, output_text






      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						Optional[int]:
             """simple docstring"""




             _lowerCamelCase       :		str		=self.tokenizer_class(self.vocab_file )

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






      def        lowerCamelCase       (					self						:     Dict )					->						Any:
             """simple docstring"""




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

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






def 	a_      (    SCREAMING_SNAKE_CASE__					:      str		,			SCREAMING_SNAKE_CASE__					:      str     ):
       '''simple docstring'''





       assert x is not None
       assert y is not None

       _lowerCamelCase       :		Dict		=len(SCREAMING_SNAKE_CASE__     )
       _lowerCamelCase       :		Optional[Any]		=len(SCREAMING_SNAKE_CASE__     )

       # declaring the array for storing the dp values
       _lowerCamelCase       :		Optional[int]		=[[0] * (n + 1) for _ in range(m + 1     )]  # noqa: E741

       for i in range(1		,			m + 1     ):
              for j in range(1		,			n + 1     ):
                     _lowerCamelCase       :		int		=1 if x[i - 1] == y[j - 1] else 0

                     _lowerCamelCase       :		Union[str, Any]		=max(l[i - 1][j]		,			l[i][j - 1]		,			l[i - 1][j - 1] + match     )

       _lowerCamelCase       :		Optional[int]		=''
       _lowerCamelCase	,     _lowerCamelCase       :		Dict		=m, n
       while i > 0 and j > 0:
              _lowerCamelCase       :		int		=1 if x[i - 1] == y[j - 1] else 0

              if l[i][j] == l[i - 1][j - 1] + match:
                     if match == 1:
                            _lowerCamelCase       :		Union[str, Any]		=x[i - 1] + seq
                     i -= 1
                     j -= 1
              elif l[i][j] == l[i - 1][j]:
                     i -= 1
              else:
                     j -= 1

       return l[m][n], seq


if __name__ == "__main__":
 lowerCamelCase											=       'AGGTAB'
 lowerCamelCase											=       'GXTXAYB'
 lowerCamelCase											=       4
 lowerCamelCase											=       'GTAB'

 lowerCamelCase					,				lowerCamelCase											=       longest_common_subsequence(a, b)
 print('len =', ln, ', sub-sequence =', subseq)
 import doctest

 doctest.testmod()


