
"""simple docstring"""




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate



@dataclass(frozen=a__  )
class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						str					       =   field(default='''audio-classification''' ,					metadata={'''include_in_asdict_even_if_is_default''': True}  )
				__UpperCamelCase      :						ClassVar[Features]					       =   Features({'''audio''': Audio()}  )
				__UpperCamelCase      :						ClassVar[Features]					       =   Features({'''labels''': ClassLabel}  )
				__UpperCamelCase      :						str					       =   "audio"
				__UpperCamelCase      :						str					       =   "labels"



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		int:



											"""simple docstring"""




											if self.label_column not in features:
																		raise ValueError(F'''Column {self.label_column} is not present in features.'''    )
											if not isinstance(features[self.label_column]   ,       SCREAMING_SNAKE_CASE__    ):
																		raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''    )
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   copy.deepcopy(self    )
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   self.label_schema.copy()
											SCREAMING_SNAKE_CASE__						:       Dict           =   features[self.label_column]
											SCREAMING_SNAKE_CASE__						:       Any           =   label_schema
											return task_template



				@property
				def 	__magic_name__    (self    )					->		Dict[str, str]:



											"""simple docstring"""




											return {
											    self.audio_column: "audio",
											    self.label_column: "labels",
											}









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





