
from graphs.minimum_spanning_tree_kruskal import kruskal







def        A__					(						)  ->	Dict:
				UpperCamelCase_:							Optional[Any]	=						9
				UpperCamelCase_:							Dict	=						[
				    [0, 1, 4],
				    [0, 7, 8],
				    [1, 2, 8],
				    [7, 8, 7],
				    [7, 6, 1],
				    [2, 8, 2],
				    [8, 6, 6],
				    [2, 3, 7],
				    [2, 5, 4],
				    [6, 5, 2],
				    [3, 5, 14],
				    [3, 4, 9],
				    [5, 4, 10],
				    [1, 7, 11],
				]

				UpperCamelCase_:							Union[str, Any]	=						kruskal(lowerCamelCase     ,    lowerCamelCase						)

				UpperCamelCase_:							Optional[Any]	=						[
				    [7, 6, 1],
				    [2, 8, 2],
				    [6, 5, 2],
				    [0, 1, 4],
				    [2, 5, 4],
				    [2, 3, 7],
				    [0, 7, 8],
				    [3, 4, 9],
				]

				assert sorted(lowerCamelCase						) == sorted(lowerCamelCase						)








import warnings

from ..trainer import Trainer
from ..utils import logging


lowerCamelCase_						: Dict         =  logging.get_logger(__name__)

class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

			def __init__(       self :       List[str]						,	snake_case_ :       Tuple=None						,	**snake_case_ :       List[str]      ):
							warnings.warn(
							    """`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` """
							    """instead."""						,	snake_case_						,	)
							super().__init__(args=snake_case_						,	**snake_case_      )






