


'''simple docstring'''






import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin




class  a     (     _SCREAMING_SNAKE_CASE  ,				unittest.TestCase       ):
	_lowerCAmelCase 					=	XLMTokenizer
	_lowerCAmelCase 					=	False
	def 							__UpperCAmelCase		( self						)					->							Optional[int]:
						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						_a			      =							[
						    'l',
						    'o',
						    'w',
						    'e',
						    'r',
						    's',
						    't',
						    'i',
						    'd',
						    'n',
						    'w</w>',
						    'r</w>',
						    't</w>',
						    'lo',
						    'low',
						    'er</w>',
						    'low</w>',
						    'lowest</w>',
						    'newer</w>',
						    'wider</w>',
						    '<unk>',
						]
						_a			      =							dict(zip(__magic_name__      ,				range(len(__magic_name__						)						)						)						)
						_a			      =							['l o 123', 'lo w 1456', 'e r</w> 1789', '']

						_a			      =							os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES['vocab_file']						)
						_a			      =							os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES['merges_file']						)
						with open(self.vocab_file      ,				'w'						) as fp:
											fp.write(json.dumps(__magic_name__						)						)
						with open(self.merges_file      ,				'w'						) as fp:
											fp.write('\n'.join(__magic_name__						)						)
	def 							__UpperCAmelCase		( self      ,				__magic_name__						)					->							List[Any]:
						_a			      =							'lower newer'
						_a			      =							'lower newer'
						return input_text, output_text
	def 							__UpperCAmelCase		( self						)					->							int:
						_a			      =							XLMTokenizer(self.vocab_file      ,				self.merges_file						)

						_a			      =							'lower'
						_a			      =							['low', 'er</w>']
						_a			      =							tokenizer.tokenize(__magic_name__						)
						self.assertListEqual(__magic_name__      ,				__magic_name__						)

						_a			      =							tokens + ['<unk>']
						_a			      =							[14, 15, 20]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__						)      ,				__magic_name__						)




	@slow
	def 							__UpperCAmelCase		( self						)					->							Dict:
						_a			      =							XLMTokenizer.from_pretrained('xlm-mlm-en-2048'						)

						_a			      =							tokenizer.encode('sequence builders'      ,				add_special_tokens=__magic_name__						)
						_a			      =							tokenizer.encode('multi-sequence build'      ,				add_special_tokens=__magic_name__						)

						_a			      =							tokenizer.build_inputs_with_special_tokens(__magic_name__						)
						_a			      =							tokenizer.build_inputs_with_special_tokens(__magic_name__      ,				__magic_name__						)

						assert encoded_sentence == [0] + text + [1]
						assert encoded_pair == [0] + text + [1] + text_a + [1]





'''simple docstring'''






def 	_A				(lowerCAmelCase__  :Union[str, Any]		)   ->  List[str]:




     '''simple docstring'''



     return [
         {
             0: [1, 2],
             1: [0, 2],
             2: [0, 1, 3, 5],
             3: [2, 4],
             4: [3],
             5: [2, 6, 8],
             6: [5, 7],
             7: [6, 8],
             8: [5, 7],
         },
         {
             0: [6],
             1: [9],
             2: [4, 5],
             3: [4],
             4: [2, 3],
             5: [2],
             6: [0, 7],
             7: [6],
             8: [],
             9: [1],
         },
         {
             0: [4],
             1: [6],
             2: [],
             3: [5, 6, 7],
             4: [0, 6],
             5: [3, 8, 9],
             6: [1, 3, 4, 7],
             7: [3, 6, 8, 9],
             8: [5, 7],
             9: [5, 7],
         },
         {
             0: [1, 3],
             1: [0, 2, 4],
             2: [1, 3, 4],
             3: [0, 2, 4],
             4: [1, 2, 3],
         },
     ][index]






def 	_A				(lowerCAmelCase__  :dict[int, list[int]]		)   ->  list[tuple[int, int]]:




     '''simple docstring'''



     _a			      =							0
     _a			      =							len(lowerCAmelCase__		)  # No of vertices in graph
     _a			      =							[0] * n
     _a			      =							[False] * n

     def dfs(lowerCAmelCase__  :Dict				,						lowerCAmelCase__  :str				,						lowerCAmelCase__  :Dict				,						lowerCAmelCase__  :Union[str, Any]		):
          _a			      =							True
          _a			      =							id_
          id_ += 1
          for to in graph[at]:
               if to == parent:
                    pass
               elif not visited[to]:
                    dfs(lowerCAmelCase__				,						lowerCAmelCase__				,						lowerCAmelCase__				,						id_		)
                    _a			      =							min(low[at]				,						low[to]		)
                    if id_ <= low[to]:
                         bridges.append((at, to) if at < to else (to, at)		)
               else:
                    # This edge is a back edge and cannot be a bridge
                    _a			      =							min(low[at]				,						low[to]		)

     _a			      =							[]
     for i in range(lowerCAmelCase__		):
          if not visited[i]:
               dfs(lowerCAmelCase__				,						-1				,						lowerCAmelCase__				,						id_		)
     return bridges


if __name__ == "__main__":
 import doctest

 doctest.testmod()

