




import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_rjieba
@require_tokenizers
class   A(						UpperCamelCase							,      unittest.TestCase   ):



 '''simple docstring'''


 UpperCamelCase						   =						RoFormerTokenizer
 UpperCamelCase						   =						RoFormerTokenizerFast
 UpperCamelCase						   =						True
 UpperCamelCase						   =						True

 def 				a__ (				self					:  Dict  )   ->	List[Any]:

       """simple docstring"""






       super().setUp()

 def 				a__ (				self					:  Union[str, Any]						,							**A_					:  int  )   ->	Union[str, Any]:

       """simple docstring"""






       return self.tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'						,							**A_  )

 def 				a__ (				self					:  List[str]						,							**A_					:  List[Any]  )   ->	Union[str, Any]:

       """simple docstring"""






       return self.rust_tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'						,							**A_  )

 def 				a__ (				self					:  Tuple  )   ->	Tuple:

       """simple docstring"""






       lowerCamelCase_		     =    '永和服装饰品有限公司,今天天气非常好'
       lowerCamelCase_		     =    '永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'
       return input_text, output_text

 def 				a__ (				self					:  Optional[int]  )   ->	Union[str, Any]:

       """simple docstring"""






       lowerCamelCase_		     =    self.get_tokenizer()
       lowerCamelCase_     ,				lowerCamelCase_		     =    self.get_chinese_input_output_texts()
       lowerCamelCase_		     =    tokenizer.tokenize(A_  )

       self.assertListEqual(A_						,							output_text.split()  )

       lowerCamelCase_		     =    tokens + [tokenizer.unk_token]
       lowerCamelCase_		     =    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(A_  )						,							A_  )

 def 				a__ (				self					:  List[Any]  )   ->	List[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    self.get_rust_tokenizer()
       lowerCamelCase_     ,				lowerCamelCase_		     =    self.get_chinese_input_output_texts()
       lowerCamelCase_		     =    tokenizer.tokenize(A_  )
       self.assertListEqual(A_						,							output_text.split()  )
       lowerCamelCase_		     =    tokens + [tokenizer.unk_token]
       lowerCamelCase_		     =    [22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(A_  )						,							A_  )

 def 				a__ (				self					:  Optional[Any]  )   ->	List[Any]:

       """simple docstring"""






       pass

 def 				a__ (				self					:  Dict  )   ->	Optional[int]:

       """simple docstring"""






       pass





 def 				a__ (				self					:  Tuple  )   ->	Tuple:

       """simple docstring"""






       pass









lowerCamelCase				:		Tuple     =   [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[Any]	,							lowercase	:       int	,							lowercase	:       Optional[Any]	,							lowercase	:       List[Any]     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [False] * len(lowercase     )
      lowerCamelCase_		     =    [s]
      lowerCamelCase_		     =    True

      while queue:
            lowerCamelCase_		     =    queue.pop(0     )
            for ind in range(len(graph[u]     )     ):
                  if visited[ind] is False and graph[u][ind] > 0:
                        queue.append(lowercase     )
                        lowerCamelCase_		     =    True
                        lowerCamelCase_		     =    u

      return visited[t]

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       List[str]	,							lowercase	:       Tuple	,							lowercase	:       Tuple     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [-1] * (len(lowercase     ))
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    []
      lowerCamelCase_		     =    [i[:] for i in graph]  # Record original cut, copy.
      while bfs(lowercase	,							lowercase	,							lowercase	,							lowercase     ):
            lowerCamelCase_		     =    float('Inf'     )
            lowerCamelCase_		     =    sink

            while s != source:
                  # Find the minimum value in select path
                  lowerCamelCase_		     =    min(lowercase	,							graph[parent[s]][s]     )
                  lowerCamelCase_		     =    parent[s]

            max_flow += path_flow
            lowerCamelCase_		     =    sink

            while v != source:
                  lowerCamelCase_		     =    parent[v]
                  graph[u][v] -= path_flow
                  graph[v][u] += path_flow
                  lowerCamelCase_		     =    parent[v]

      for i in range(len(lowercase     )     ):
            for j in range(len(graph[0]     )     ):
                  if graph[i][j] == 0 and temp[i][j] > 0:
                        res.append((i, j)     )

      return res


if __name__ == "__main__":
 print(mincut(test_graph, source=0, sink=5))



