






'''simple docstring'''







from typing import Optional, Tuple

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


__A      :       int      =	logging.get_logger(__name__)

__A      :       List[Any]      =	{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

__A      :       Optional[Any]      =	{
    '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'},
}

__A      :       Any      =	{
    'openai-gpt': 5_1_2,
}






class 					a__    (			lowerCamelCase						):
     '''simple docstring'''







     _snake_case             =  VOCAB_FILES_NAMES
     _snake_case             =  PRETRAINED_VOCAB_FILES_MAP
     _snake_case             =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _snake_case             =  ['input_ids', 'attention_mask']
     _snake_case             =  OpenAIGPTTokenizer






     def __init__(self    :	int				,				lowercase__    :	Optional[Any]=None				,				lowercase__    :	Optional[Any]=None				,				lowercase__    :	Optional[int]=None				,				lowercase__    :	Tuple="<unk>"				,				**lowercase__    :	Optional[Any]					)  ->       Dict:
           super().__init__(lowercase__				,				lowercase__				,				tokenizer_file=lowercase__				,				unk_token=lowercase__				,				**lowercase__					)






     @property
     def     _UpperCamelCase   (self    :	Dict					)  ->       Optional[int]:
           return True






     def     _UpperCamelCase   (self    :	Tuple				,				lowercase__    :	str				,				lowercase__    :	Optional[str] = None					)  ->       Tuple[str]:
           __A		   =      self._tokenizer.model.save(lowercase__				,				name=lowercase__					)
           return tuple(lowercase__					)










'''simple docstring'''







from __future__ import annotations

from queue import Queue






class 					a__    :
     '''simple docstring'''







     def __init__(self    :	Any					)  ->       None:
           __A		   =      {}






     def     _UpperCamelCase   (self    :	Optional[int]					)  ->       None:
           for i in self.vertices:
                 print(lowercase__				,				" : "				,				" -> ".join([str(lowercase__					) for j in self.vertices[i]]					)					)






     def     _UpperCamelCase   (self    :	Union[str, Any]				,				lowercase__    :	int				,				lowercase__    :	int					)  ->       None:
           if from_vertex in self.vertices:
                 self.vertices[from_vertex].append(lowercase__					)
           else:
                 __A		   =      [to_vertex]






     def     _UpperCamelCase   (self    :	Optional[int]				,				lowercase__    :	int					)  ->       set[int]:
           __A		   =      set()

           # create a first in first out queue to store all the vertices for BFS
           __A		   =      Queue()

           # mark the source node as visited and enqueue it
           visited.add(lowercase__					)
           queue.put(lowercase__					)

           while not queue.empty():
                 __A		   =      queue.get()

                 # loop through all adjacent vertex and enqueue it if not yet visited
                 for adjacent_vertex in self.vertices[vertex]:
                       if adjacent_vertex not in visited:
                             queue.put(lowercase__					)
                             visited.add(lowercase__					)
           return visited


if __name__ == "__main__":
       from doctest import testmod

       testmod(verbose=True)

       __A      :       Dict      =	Graph()
       g.add_edge(0, 1)
       g.add_edge(0, 2)
       g.add_edge(1, 2)
       g.add_edge(2, 0)
       g.add_edge(2, 3)
       g.add_edge(3, 3)

       g.print_graph()
       # 0  :  1 -> 2
       # 1  :  2
       # 2  :  0 -> 3
       # 3  :  3

       assert sorted(g.bfs(2)) == [0, 1, 2, 3]


