

"""simple docstring"""


import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class lowerCamelCase__   (				SCREAMING_SNAKE_CASE     ,   unittest.TestCase    ):



    '''simple docstring'''




    _lowerCamelCase					=   TransfoXLTokenizer
    _lowerCamelCase					=   False
    _lowerCamelCase					=   False




    def UpperCamelCase__		( self    )    ->      List[Any]:
          super().setUp()

          A				  =		[
              """<unk>""",
              """[CLS]""",
              """[SEP]""",
              """want""",
              """unwanted""",
              """wa""",
              """un""",
              """running""",
              """,""",
              """low""",
              """l""",
          ]
          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 ,**lowerCamelCase_    )    ->      int:
          A				  =		True
          return TransfoXLTokenizer.from_pretrained(self.tmpdirname ,**lowerCamelCase_    )




    def UpperCamelCase__		( self ,lowerCamelCase_    )    ->      int:
          A				  =		"""<unk> UNwanted , running"""
          A				  =		"""<unk> unwanted, running"""
          return input_text, output_text




    def UpperCamelCase__		( self    )    ->      Any:
          A				  =		TransfoXLTokenizer(vocab_file=self.vocab_file ,lower_case=lowerCamelCase_    )

          A				  =		tokenizer.tokenize("""<unk> UNwanted , running"""    )
          self.assertListEqual(lowerCamelCase_ ,["""<unk>""", """unwanted""", """,""", """running"""]    )

          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_    ) ,[0, 4, 8, 7]    )




    def UpperCamelCase__		( self    )    ->      Optional[Any]:
          A				  =		TransfoXLTokenizer(lower_case=lowerCamelCase_    )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """    ) ,["""hello""", """!""", """how""", """are""", """you""", """?"""]    )




    def UpperCamelCase__		( self    )    ->      Any:
          A				  =		TransfoXLTokenizer(lower_case=lowerCamelCase_    )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """    ) ,["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]    )




    def UpperCamelCase__		( self    )    ->      Dict:
          A				  =		TransfoXLTokenizer(lower_case=lowerCamelCase_    )
          A				  =		"""Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
          A				  =		[
              """Hello""",
              """(""",
              """bracket""",
              """)""",
              """and""",
              """side""",
              """@-@""",
              """scrolled""",
              """[""",
              """and""",
              """]""",
              """Henry""",
              """'s""",
              """$""",
              """5""",
              """@,@""",
              """000""",
              """with""",
              """3""",
              """@.@""",
              """34""",
              """m""",
              """.""",
              """What""",
              """'s""",
              """up""",
              """!""",
              """?""",
          ]

          self.assertListEqual(tokenizer.tokenize(lowerCamelCase_    ) ,lowerCamelCase_    )

          self.assertEqual(tokenizer.convert_tokens_to_string(lowerCamelCase_    ) ,lowerCamelCase_    )




    def UpperCamelCase__		( self    )    ->      Optional[int]:
          A				  =		self.get_tokenizer()
          A				  =		len(lowerCamelCase_    )

          tokenizer.add_tokens(["""new1""", """new2"""]    )
          tokenizer.move_added_token("""new1""" ,1    )

          # Check that moved token is not copied (duplicate)
          self.assertEqual(len(lowerCamelCase_    ) ,original_len + 2    )
          # Check that token is moved to specified id
          self.assertEqual(tokenizer.encode("""new1"""    ) ,[1]    )
          self.assertEqual(tokenizer.decode([1]    ) ,"""new1"""    )







"""simple docstring"""


UpperCAmelCase													=[
    [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   _A					(	_a	:						Dict     ,   _a	:						int     ,   _a	:						Dict     ,   _a	:						List[Any]				):



      """simple docstring"""






      A				  =		[False] * len(_a				)
      A				  =		[s]
      A				  =		True

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

      return visited[t]



def   _A					(	_a	:						str     ,   _a	:						Optional[Any]     ,   _a	:						Optional[int]				):



      """simple docstring"""






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

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

            max_flow += path_flow
            A				  =		sink

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

      for i in range(len(_a				)				):
            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))




