
"""simple docstring"""


import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property

class 					A_			(  unittest.TestCase     ):



							"""simple docstring"""






							@cached_property
							def    UpperCAmelCase__							(						self						:Tuple ):





										"""simple docstring"""

										return BlenderbotTokenizer.from_pretrained('facebook/blenderbot-3B' )





							@cached_property
							def    UpperCAmelCase__							(						self						:Optional[int] ):





										"""simple docstring"""

										return BlenderbotTokenizerFast.from_pretrained('facebook/blenderbot-3B' )





							def    UpperCAmelCase__							(						self						:str ):





										"""simple docstring"""

										lowerCamelCase__			:  Dict  =self.tokenizer_ab
										lowerCamelCase__			:  Optional[Any]  =' I am a small frog.'
										lowerCamelCase__			:  Tuple  =tok([src_text]  ,							padding=lowerCamelCase_  ,							truncation=lowerCamelCase_ )['input_ids']
										lowerCamelCase__			:  Any  =tok.batch_decode(lowerCamelCase_  ,							skip_special_tokens=lowerCamelCase_  ,							clean_up_tokenization_spaces=lowerCamelCase_ )[0]
										assert src_text == decoded





							def    UpperCAmelCase__							(						self						:Dict ):





										"""simple docstring"""

										lowerCamelCase__			:  Optional[Any]  =self.rust_tokenizer_ab
										lowerCamelCase__			:  str  =' I am a small frog.'
										lowerCamelCase__			:  Any  =tok([src_text]  ,							padding=lowerCamelCase_  ,							truncation=lowerCamelCase_ )['input_ids']
										lowerCamelCase__			:  Optional[Any]  =tok.batch_decode(lowerCamelCase_  ,							skip_special_tokens=lowerCamelCase_  ,							clean_up_tokenization_spaces=lowerCamelCase_ )[0]
										assert src_text == decoded





							def    UpperCAmelCase__							(						self						:int ):





										"""simple docstring"""

										assert self.tokenizer_ab.add_prefix_space
										assert self.tokenizer_ab([' Sam', 'Sam'] ).input_ids == [[5_502, 2], [5_502, 2]]





							def    UpperCAmelCase__							(						self						:List[str] ):





										"""simple docstring"""

										assert self.rust_tokenizer_ab.add_prefix_space
										assert self.rust_tokenizer_ab([' Sam', 'Sam'] ).input_ids == [[5_502, 2], [5_502, 2]]

"""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.
from queue import Queue






def      lowerCAmelCase_     (	snake_case_	:    List[Any]    )     ->Optional[int]:
			lowerCamelCase__			:  Optional[int]  =Queue()
			lowerCamelCase__			:  Any  =[False] * len(snake_case_    )
			lowerCamelCase__			:  Optional[Any]  =[-1] * len(snake_case_    )

			def bfs():
						while not queue.empty():
									lowerCamelCase__			:  List[Any]  =queue.get()
									lowerCamelCase__			:  int  =True

									for neighbour in graph[u]:
												if neighbour == u:
															return False

												if color[neighbour] == -1:
															lowerCamelCase__			:  Union[str, Any]  =1 - color[u]
															queue.put(snake_case_    )

												elif color[neighbour] == color[u]:
															return False

						return True

			for i in range(len(snake_case_    )    ):
						if not visited[i]:
									queue.put(snake_case_    )
									lowerCamelCase__			:  Tuple  =0
									if bfs() is False:
												return False

			return True


if __name__ == "__main__":
							# Adjacency List of graph
							print(check_bipartite({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2]}))