


'''simple docstring'''







import math





class 	SCREAMING_SNAKE_CASE					:






			def __init__( self      :			Dict  ,						__SCREAMING_SNAKE_CASE      :			Optional[int]=0					)			->			int:  # a graph with Node 0,1,...,N-1
							a_		:  Union[str, Any]											=      n
							a_		:  List[Any]											=      [
							    [math.inf for j in range(0  ,						__SCREAMING_SNAKE_CASE					)] for i in range(0  ,						__SCREAMING_SNAKE_CASE					)
							]  # adjacency matrix for weight
							a_		:  List[str]											=      [
							    [math.inf for j in range(0  ,						__SCREAMING_SNAKE_CASE					)] for i in range(0  ,						__SCREAMING_SNAKE_CASE					)
							]  # dp[i][j] stores minimum distance from i to j






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[Any]  ,						__SCREAMING_SNAKE_CASE      :			str  ,						__SCREAMING_SNAKE_CASE      :			Dict  ,						__SCREAMING_SNAKE_CASE      :			Tuple					)			->			Optional[int]:
							a_		:  str											=      w






			def 			SCREAMING_SNAKE_CASE      ( self      :			int					)			->			Tuple:
							for k in range(0  ,						self.n					):
											for i in range(0  ,						self.n					):
															for j in range(0  ,						self.n					):
																			a_		:  str											=      min(self.dp[i][j]  ,						self.dp[i][k] + self.dp[k][j]					)







			def 			SCREAMING_SNAKE_CASE      ( self      :			Optional[int]  ,						__SCREAMING_SNAKE_CASE      :			Optional[Any]  ,						__SCREAMING_SNAKE_CASE      :			List[Any]					)			->			Optional[int]:
							return self.dp[u][v]


if __name__ == "__main__":
		__lowerCAmelCase       		=      Graph(5)
		graph.add_edge(0, 2, 9)
		graph.add_edge(0, 4, 10)
		graph.add_edge(1, 3, 5)
		graph.add_edge(2, 3, 7)
		graph.add_edge(3, 0, 10)
		graph.add_edge(3, 1, 2)
		graph.add_edge(3, 2, 1)
		graph.add_edge(3, 4, 6)
		graph.add_edge(4, 1, 3)
		graph.add_edge(4, 2, 4)
		graph.add_edge(4, 3, 9)
		graph.floyd_warshall()
		graph.show_min(1, 4)
		graph.show_min(0, 3)












'''simple docstring'''







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

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





@dataclass(frozen=SCREAMING_SNAKE_CASE_       )
class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				field(default="image-classification"	,   metadata={"include_in_asdict_even_if_is_default": True}       )
			snake_case__  =				Features({"image": Image()}       )
			snake_case__  =				Features({"labels": ClassLabel}       )
			snake_case__  =				"image"
			snake_case__  =				"labels"






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			List[Any]					)			->			Any:
							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.'					)
							a_		:  Optional[int]											=      copy.deepcopy(self					)
							a_		:  int											=      self.label_schema.copy()
							a_		:  Tuple											=      features[self.label_column]
							a_		:  str											=      label_schema
							return task_template







			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			Tuple					)			->			Dict[str, str]:
							return {
							    self.image_column: "image",
							    self.label_column: "labels",
							}




