





'''simple docstring'''


import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin






class     lowerCAmelCase__ (				UpperCAmelCase_      , unittest.TestCase    ):

       '''simple docstring'''
       _lowerCamelCase								=CTRLTokenizer
       _lowerCamelCase								=False
       _lowerCamelCase								=False

       def 			__snake_case      ( self					:				List[str]						):
              super().setUp()

              # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
              UpperCAmelCase  =						['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
              UpperCAmelCase  =						dict(zip(a__       ,     range(len(a__						)						)						)						)
              UpperCAmelCase  =						['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
              UpperCAmelCase  =						{'''unk_token''': '''<unk>'''}

              UpperCAmelCase  =						os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''vocab_file''']						)
              UpperCAmelCase  =						os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''merges_file''']						)
              with open(self.vocab_file       ,     '''w'''       ,     encoding='''utf-8'''						) as fp:
                     fp.write(json.dumps(a__						) + '''\n'''						)
              with open(self.merges_file       ,     '''w'''       ,     encoding='''utf-8'''						) as fp:
                     fp.write('''\n'''.join(a__						)						)

       def 			__snake_case      ( self					:				Union[str, Any]       ,     **a__					:				int						):
              kwargs.update(self.special_tokens_map						)
              return CTRLTokenizer.from_pretrained(self.tmpdirname       ,     **a__						)

       def 			__snake_case      ( self					:				List[str]       ,     a__					:				List[Any]						):
              UpperCAmelCase  =						'''adapt react readapt apt'''
              UpperCAmelCase  =						'''adapt react readapt apt'''
              return input_text, output_text



       def 			__snake_case      ( self					:				int						):
              UpperCAmelCase  =						CTRLTokenizer(self.vocab_file       ,     self.merges_file       ,     **self.special_tokens_map						)
              UpperCAmelCase  =						'''adapt react readapt apt'''
              UpperCAmelCase  =						'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
              UpperCAmelCase  =						tokenizer.tokenize(a__						)
              self.assertListEqual(a__       ,     a__						)

              UpperCAmelCase  =						tokens + [tokenizer.unk_token]

              UpperCAmelCase  =						[0, 1, 2, 4, 5, 1, 0, 3, 6]
              self.assertListEqual(tokenizer.convert_tokens_to_ids(a__						)       ,     a__						)



'''simple docstring'''




# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.






def 							snake_case__				(     _A:   Dict					)       ->      str:

		'''simple docstring'''


		lowerCAmelCase     =    [False] * len(_A					)
		lowerCAmelCase     =    [-1] * len(_A					)

		def dfs(_A:   Dict ,  _A:   Tuple					):
				lowerCAmelCase     =    True
				lowerCAmelCase     =    c
				for u in graph[v]:
						if not visited[u]:
								dfs(_A ,  1 - c					)

		for i in range(len(_A					)					):
				if not visited[i]:
						dfs(_A ,  0					)

		for i in range(len(_A					)					):
				for j in graph[i]:
						if color[i] == color[j]:
								return False

		return True


# Adjacency list of graph
__lowercase        =    {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}




print(check_bipartite_dfs(graph))




