
from __future__ import annotations






def    lowerCamelCase__				(				__lowerCAmelCase  :  dict    ,							__lowerCAmelCase  :  str				):




			"""simple docstring"""


			lowerCAmelCase_	,  lowerCAmelCase_						=	set(__lowerCAmelCase				), [start]

			while stack:
						lowerCAmelCase_						=	stack.pop()
						explored.add(__lowerCAmelCase				)
						# 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(__lowerCAmelCase				)
			return explored


_A   =     {
    "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"))





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


_A   =     {}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A   =     ["NllbTokenizer"]

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A   =     ["NllbTokenizerFast"]


if TYPE_CHECKING:
			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_nllb import NllbTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_nllb_fast import NllbTokenizerFast

else:
			import sys

			_A   =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



