






'''simple docstring'''







from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


_A			:    Optional[int]					  =logging.get_logger(__name__)

_A			:    Tuple					  ={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_A			:    Any					  ={
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

_A			:    List[str]					  ={'''allegro/herbert-base-cased''': 514}
_A			:    Tuple					  ={}

class _lowercase			(       _lowercase	):
							a          = VOCAB_FILES_NAMES
							a          = PRETRAINED_VOCAB_FILES_MAP
							a          = PRETRAINED_INIT_CONFIGURATION
							a          = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							a          = HerbertTokenizer




							def __init__(							self:       Tuple    ,							UpperCamelCase__:       Dict=None    ,							UpperCamelCase__:       Any=None    ,							UpperCamelCase__:       Optional[Any]=None    ,							UpperCamelCase__:       List[Any]="<s>"    ,							UpperCamelCase__:       Any="<unk>"    ,							UpperCamelCase__:       Any="<pad>"    ,							UpperCamelCase__:       Dict="<mask>"    ,							UpperCamelCase__:       Any="</s>"    ,							**UpperCamelCase__:       int    ,							):
														super().__init__(
														    UpperCamelCase__    ,							UpperCamelCase__    ,							tokenizer_file=UpperCamelCase__    ,							cls_token=UpperCamelCase__    ,							unk_token=UpperCamelCase__    ,							pad_token=UpperCamelCase__    ,							mask_token=UpperCamelCase__    ,							sep_token=UpperCamelCase__    ,							**UpperCamelCase__    ,							)




							def 	lowerCamelCase_       (							self:       int    ,							UpperCamelCase__:       List[int]    ,							UpperCamelCase__:       Optional[List[int]] = None  ):
														lowerCamelCase__      :			List[Any] 						= [self.cls_token_id]
														lowerCamelCase__      :			str 						= [self.sep_token_id]
														if token_ids_a is None:
																					return cls + token_ids_a + sep

														return cls + token_ids_a + sep + token_ids_a + sep




							def 	lowerCamelCase_       (							self:       str    ,							UpperCamelCase__:       List[int]    ,							UpperCamelCase__:       Optional[List[int]] = None    ,							UpperCamelCase__:       bool = False  ):
														if already_has_special_tokens:
																					return super().get_special_tokens_mask(
																					    token_ids_a=UpperCamelCase__    ,							token_ids_a=UpperCamelCase__    ,							already_has_special_tokens=UpperCamelCase__  )

														if token_ids_a is None:
																					return [1] + ([0] * len(UpperCamelCase__  )) + [1]
														return [1] + ([0] * len(UpperCamelCase__  )) + [1] + ([0] * len(UpperCamelCase__  )) + [1]




							def 	lowerCamelCase_       (							self:       List[str]    ,							UpperCamelCase__:       List[int]    ,							UpperCamelCase__:       Optional[List[int]] = None  ):
														lowerCamelCase__      :			str 						= [self.sep_token_id]
														lowerCamelCase__      :			Any 						= [self.cls_token_id]

														if token_ids_a is None:
																					return len(cls + token_ids_a + sep  ) * [0]
														return len(cls + token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1]




							def 	lowerCamelCase_       (							self:       Tuple    ,							UpperCamelCase__:       str    ,							UpperCamelCase__:       Optional[str] = None  ):
														lowerCamelCase__      :			Tuple 						= self._tokenizer.model.save(UpperCamelCase__    ,							name=UpperCamelCase__  )
														return tuple(UpperCamelCase__  )









'''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 				SCREAMING_SNAKE_CASE_ (UpperCamelCase   )   -> Optional[Any]:
							lowerCamelCase__      :			str 						= [False] * len(UpperCamelCase   )
							lowerCamelCase__      :			str 						= [-1] * len(UpperCamelCase   )

							def dfs(UpperCamelCase       ,    UpperCamelCase   ):
														lowerCamelCase__      :			Optional[int] 						= True
														lowerCamelCase__      :			Union[str, Any] 						= c
														for u in graph[v]:
																					if not visited[u]:
																												dfs(UpperCamelCase       ,    1 - c   )

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

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

							return True


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



print(check_bipartite_dfs(graph))

