


def       _lowerCAmelCase    (				lowerCAmelCase_				:list[int]		,    lowerCAmelCase_				:list[int]		,    lowerCAmelCase_				:int				)->bool:
   '''simple docstring'''






   return not any(
       neighbour == 1 and colored_vertices[i] == color
       for i, neighbour in enumerate(lowerCAmelCase_				)				)



def       _lowerCAmelCase    (				lowerCAmelCase_				:list[list[int]]		,    lowerCAmelCase_				:int		,    lowerCAmelCase_				:list[int]		,    lowerCAmelCase_				:int				)->bool:
   '''simple docstring'''






   if index == len(lowerCAmelCase_				):
      return True

   # Recursive Step
   for i in range(lowerCAmelCase_				):
      if valid_coloring(graph[index]		,    lowerCAmelCase_		,    lowerCAmelCase_				):
         # Color current vertex
         snake_case_            =       i
         # Validate coloring
         if util_color(lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_		,    index + 1				):
            return True
         # Backtrack
         snake_case_            =       -1
   return False



def       _lowerCAmelCase    (				lowerCAmelCase_				:list[list[int]]		,    lowerCAmelCase_				:int				)->list[int]:
   '''simple docstring'''






   snake_case_            =       [-1] * len(lowerCAmelCase_				)

   if util_color(lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_		,    0				):
      return colored_vertices

   return []








from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							DistilBertTokenizer
  _SCREAMING_SNAKE_CASE		     =							DistilBertTokenizerFast
  _SCREAMING_SNAKE_CASE		     =							True



  @slow
  def        lowerCAmelCase__	(  self							:							Tuple	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       DistilBertTokenizer.from_pretrained("distilbert-base-uncased"	)

     snake_case_            =       tokenizer.encode("sequence builders"     ,					add_special_tokens=_lowerCAmelCase	)
     snake_case_            =       tokenizer.encode("multi-sequence build"     ,					add_special_tokens=_lowerCAmelCase	)

     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase	)
     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase     ,					_lowerCAmelCase	)

     assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
     assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
         tokenizer.sep_token_id
     ]




