
"""simple docstring"""


from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


lowerCAmelCase			=		logging.get_logger(__name__)

lowerCAmelCase			=		{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase			=		{
    """vocab_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/vocab.json"""},
    """merges_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/merges.txt"""},
    """tokenizer_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/tokenizer.json"""},
}

lowerCAmelCase			=		{
    """openai-gpt""": 5_12,
}

class 					A_			(  A__     ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_			   =     VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE_			   =     PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE_			   =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE_			   =     ["""input_ids""", """attention_mask"""]
							SCREAMING_SNAKE_CASE_			   =     OpenAIGPTTokenizer





							def __init__(						self						:Tuple  ,							lowerCamelCase_						:Dict=None  ,							lowerCamelCase_						:int=None  ,							lowerCamelCase_						:Optional[Any]=None  ,							lowerCamelCase_						:str="<unk>"  ,							**lowerCamelCase_						:Optional[Any] ):





										"""simple docstring"""

										super().__init__(lowerCamelCase_  ,							lowerCamelCase_  ,							tokenizer_file=lowerCamelCase_  ,							unk_token=lowerCamelCase_  ,							**lowerCamelCase_ )





							@property
							def    UpperCAmelCase__							(						self						:List[Any] ):





										"""simple docstring"""

										return True





							def    UpperCAmelCase__							(						self						:Optional[Any]  ,							lowerCamelCase_						:str  ,							lowerCamelCase_						:Optional[str] = None ):





										"""simple docstring"""

										lowerCamelCase__			:  str  =self._tokenizer.model.save(lowerCamelCase_  ,							name=lowerCamelCase_ )
										return tuple(lowerCamelCase_ )

"""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]}))