


"""simple docstring"""







from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase_  :  Union[str, Any]     		=    logging.get_logger(__name__)






class  __A							(			lowerCamelCase__     ):






 """simple docstring"""




 __lowerCAmelCase					   =    ["input_ids", "attention_mask"]


 def __init__(						self					,       __A="[PAD]"					,       __A="[BOS]"					,       __A="[EOS]"					,       __A="[MASK]"					,       __A="[CLS]"					,       __A="[SEP]"					,       __A=2048					,       **__A					,       )   ->	Tuple:
     a											=AddedToken(_snake_case					,       lstrip=_snake_case					,       rstrip=_snake_case		) if isinstance(_snake_case					,       _snake_case		) else pad_token
     a											=AddedToken(_snake_case					,       lstrip=_snake_case					,       rstrip=_snake_case		) if isinstance(_snake_case					,       _snake_case		) else bos_token
     a											=AddedToken(_snake_case					,       lstrip=_snake_case					,       rstrip=_snake_case		) if isinstance(_snake_case					,       _snake_case		) else eos_token
     a											=AddedToken(_snake_case					,       lstrip=_snake_case					,       rstrip=_snake_case		) if isinstance(_snake_case					,       _snake_case		) else mask_token
     a											=AddedToken(_snake_case					,       lstrip=_snake_case					,       rstrip=_snake_case		) if isinstance(_snake_case					,       _snake_case		) else cls_token
     a											=AddedToken(_snake_case					,       lstrip=_snake_case					,       rstrip=_snake_case		) if isinstance(_snake_case					,       _snake_case		) else sep_token

     super().__init__(
         pad_token=_snake_case					,       bos_token=_snake_case					,       eos_token=_snake_case					,       mask_token=_snake_case					,       cls_token=_snake_case					,       sep_token=_snake_case					,       model_max_length=_snake_case					,       **_snake_case					,       )

     a											=2**8  # utf is 8 bits

     # define special tokens dict
     a											={
         self.pad_token: 0,
         self.bos_token: 1,
         self.eos_token: 2,
         self.mask_token: 3,
         self.cls_token: 4,
         self.sep_token: 5,
     }
     a											=len(self.special_tokens_encoder		)
     a											={v: k for k, v in self.special_tokens_encoder.items()}


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	Optional[Any]:
     a											=self.special_tokens_encoder.copy()
     vocab.update(self.added_tokens_encoder		)
     for i in range(self._utf_vocab_size		):
         a											=chr(_snake_case		)
         a											=i + len(self.special_tokens_encoder		)
     return vocab


 @property
 def  SCREAMING_SNAKE_CASE				(						self		)   ->	int:
     return self._utf_vocab_size + self._num_special_tokens


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A = None					,       __A = False		)   ->	Tuple:





     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=_snake_case					,       token_ids_a=_snake_case					,       already_has_special_tokens=_snake_case		)

     # normal case: some special tokens
     if token_ids_a is None:
         return [1] + [0] * len(_snake_case		) + [1]
     return [1] + ([0] * len(_snake_case		)) + [1] + ([0] * len(_snake_case		)) + [1]


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A = None		)   ->	List[str]:





     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     else:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]


 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	int:
     a											=[chr(_snake_case		) for i in text.encode('''utf-8'''		)]
     return tokens


 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	Optional[int]:





     if token in self.special_tokens_encoder:
         a											=self.special_tokens_encoder[token]
     elif token in self.added_tokens_encoder:
         a											=self.added_tokens_encoder[token]
     elif len(_snake_case		) != 1:
         a											=self.unk_token_id
     else:
         a											=ord(_snake_case		) + self._num_special_tokens
     return token_id


 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	str:





     if index in self.special_tokens_decoder:
         a											=self.special_tokens_decoder[index]
     elif index in self.added_tokens_decoder:
         a											=self.added_tokens_decoder[index]
     else:
         a											=chr(index - self._num_special_tokens		)
     return token


 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	Optional[Any]:
     a											=b''''''
     for token in tokens:
         if token in self.special_tokens_decoder:
             a											=self.special_tokens_decoder[token].encode('''utf-8'''		)
         elif token in self.added_tokens_decoder:
             a											=self.special_tokens_decoder[token].encode('''utf-8'''		)
         elif token in self.special_tokens_encoder:
             a											=token.encode('''utf-8'''		)
         elif token in self.added_tokens_encoder:
             a											=token.encode('''utf-8'''		)
         else:
             a											=bytes([ord(_snake_case		)]		)
         bstring += tok_string
     a											=bstring.decode('''utf-8'''					,       errors='''replace'''		)
     return string





 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A = None		)   ->	Tuple:
     return ()




# 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 						_UpperCAmelCase							( snake_case     ):





					"""simple docstring"""

					_lowerCAmelCase         =       Queue()
					_lowerCAmelCase         =       [False] * len(snake_case     )
					_lowerCAmelCase         =       [-1] * len(snake_case     )

					def bfs():
										while not queue.empty():
															_lowerCAmelCase         =       queue.get()
															_lowerCAmelCase         =       True

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

																				if color[neighbour] == -1:
																									_lowerCAmelCase         =       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         =       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]}))



