


'''simple docstring'''
from __future__ import annotations


def 			a      (			__a ,					__a   )  ->	set[str]:



					'''simple docstring'''






					UpperCamelCase__					,				UpperCamelCase__   :Union[str, Any]												= set(__a   ), [start]

					while stack:
										UpperCamelCase__   :Union[str, Any]												= stack.pop()
										explored.add(__a   )
										# Differences from BFS:
										# 1) pop last element instead of first one
										# 2) add adjacent elements to stack without exploring them
										for adj in reversed(graph[v]   ):
															if adj not in explored:
																				stack.append(__a   )
					return explored


__snake_case							      =     {
    '''A''': ['''B''', '''C''', '''D'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F'''],
    '''D''': ['''B''', '''D'''],
    '''E''': ['''B''', '''F'''],
    '''F''': ['''C''', '''E''', '''G'''],
    '''G''': ['''F'''],
}

if __name__ == "__main__":
		import doctest

		doctest.testmod()
		print(depth_first_search(G, '''A'''))



'''simple docstring'''
from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


__snake_case							      =     logging.get_logger(__name__)

__snake_case							      =     {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

__snake_case							      =     {
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

__snake_case							      =     {
    '''facebook/blenderbot_small-90M''': 512,
}
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				VOCAB_FILES_NAMES
		_a     =				PRETRAINED_VOCAB_FILES_MAP
		_a     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_a     =				BlenderbotSmallTokenizer




		def __init__(		self    ,   UpperCamelCase_=None    ,   UpperCamelCase_=None    ,   UpperCamelCase_="<|endoftext|>"    ,   UpperCamelCase_="<|endoftext|>"    ,   UpperCamelCase_="<|endoftext|>"    ,   UpperCamelCase_=False    ,   UpperCamelCase_=True    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							super().__init__(
							    ByteLevelBPETokenizer(
							        vocab=UpperCamelCase_    ,   merges=UpperCamelCase_    ,   add_prefix_space=UpperCamelCase_    ,   trim_offsets=UpperCamelCase_    ,   )    ,   bos_token=UpperCamelCase_    ,   eos_token=UpperCamelCase_    ,   unk_token=UpperCamelCase_    ,   **UpperCamelCase_    ,   )
							UpperCamelCase__   :Union[str, Any]												= add_prefix_space




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_=None							):

							'''simple docstring'''


							UpperCamelCase__   :List[Any]												= [self.bos_token_id] + token_ids_a + [self.eos_token_id]
							if token_ids_a is None:
												return output

							return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




		def     lowerCAmelCase__				(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = None							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[int]												= [self.sep_token_id]
							UpperCamelCase__   :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 + sep + token_ids_a + sep							) * [0]