

import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class        lowerCAmelCase__  (					__magic_name__				,							unittest.TestCase			):



       '''simple docstring'''







       lowercase_						=    LayoutLMTokenizer
       lowercase_						=    LayoutLMTokenizerFast
       lowercase_						=    True
       lowercase_						=    True

       def     __UpperCamelCase     (							self     ):







             '''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 ,   **lowercase__     ):







             '''simple docstring'''



             return LayoutLMTokenizer.from_pretrained(self.tmpdirname ,   **lowercase__     )

       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



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

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =self.tokenizer_class(self.vocab_file     )

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


       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             pass





from collections import deque





def      A__					(			__A  :						Optional[Any]			)					->Tuple:
      __A    =len(__A			)
      __A    =deque()
      __A    =[False for _ in range(__A			)]
      __A    =[-1 for _ in range(__A			)]
      __A    =index_of[:]

      def strong_connect(__A  :						Union[str, Any]     ,				__A  :						int     ,				__A  :						Optional[int]			):
            __A    =index  # the number when this node is seen
            __A    =index  # lowest rank node reachable from here
            index += 1
            stack.append(__A			)
            __A    =True

            for w in g[v]:
                  if index_of[w] == -1:
                        __A    =strong_connect(__A     ,				__A     ,				__A			)
                        __A    =(
                            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                        )
                  elif on_stack[w]:
                        __A    =(
                            lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                        )

            if lowlink_of[v] == index_of[v]:
                  __A    =[]
                  __A    =stack.pop()
                  __A    =False
                  component.append(__A			)
                  while w != v:
                        __A    =stack.pop()
                        __A    =False
                        component.append(__A			)
                  components.append(__A			)
            return index

      __A    =[]
      for v in range(__A			):
            if index_of[v] == -1:
                  strong_connect(__A     ,				0     ,				__A			)

      return components





def      A__					(			__A  :						List[Any]     ,				__A  :						Optional[int]			)					->Tuple:
      __A    =[[] for _ in range(__A			)]
      for u, v in edges:
            g[u].append(__A			)
      return g


if __name__ == "__main__":
   # Test
   _lowerCamelCase      :					int					    =      7
   _lowerCamelCase      :					Tuple					    =      [0, 0, 1, 2, 3, 3, 4, 4, 6]
   _lowerCamelCase      :					Dict					    =      [1, 3, 2, 0, 1, 4, 5, 6, 5]
   _lowerCamelCase      :					Optional[Any]					    =      [(u, v) for u, v in zip(source, target)]
   _lowerCamelCase      :					Dict					    =      create_graph(n_vertices, edges)

   assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)


