



"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor


__A      :							Tuple   =      logging.get_logger(__name__)
class 	_a       (    __UpperCAmelCase):
			"""simple docstring"""



			def __init__(						self   :			Optional[int] ,      *__UpperCamelCase   :			Union[str, Any] ,      **__UpperCamelCase   :			List[Any]      )->Optional[Any]:
							warnings.warn(
							    '''The class MobileViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use MobileViTImageProcessor instead.''' ,      __SCREAMING_SNAKE_CASE ,      )
							super().__init__(*__SCREAMING_SNAKE_CASE ,      **__SCREAMING_SNAKE_CASE      )








from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst





def      __snake_case	(			):
    __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





