from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst
def 							lowerCAmelCase(     ):
					__a ,				__a		 =       9, 14  # noqa: F841
					__a		 =       [
					    [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],
					]

					__a		 =       defaultdict(__UpperCAmelCase						)
					for nodea, nodea, cost in edges:
										adjancency[nodea].append([nodea, cost]						)
										adjancency[nodea].append([nodea, cost]						)

					__a		 =       mst(__UpperCAmelCase						)

					__a		 =       [
					    [7, 6, 1],
					    [2, 8, 2],
					    [6, 5, 2],
					    [0, 1, 4],
					    [2, 5, 4],
					    [2, 3, 7],
					    [0, 7, 8],
					    [3, 4, 9],
					]

					for answer in expected:
										__a		 =       tuple(answer[:2]						)
										__a		 =       tuple(edge[::-1]						)
										assert edge in result or reverse in result





import warnings

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


lowerCamelCase_    :		Union[str, Any]							=	logging.get_logger(__name__)


class 						a__							(       __snake_case		):



			def __init__(						self				,						UpperCAmelCase=None				,						**UpperCAmelCase   )			->   Any:
								warnings.warn(
								    '`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '
								    'instead.'				,						UpperCAmelCase				,						)
								super().__init__(args=UpperCAmelCase				,						**UpperCAmelCase   )




