'''simple docstring'''




import random




def 							lowerCamelCase			(   UpperCAmelCase__ :      int   ,   UpperCAmelCase__ :      float   ,   UpperCAmelCase__ :      bool = False				)    ->   dict:
							lowercase_      :    dict       		= {i: [] for i in range(UpperCAmelCase__				)}

							# if probability is greater or equal than 1, then generate a complete graph
							if probability >= 1:
														return complete_graph(UpperCAmelCase__				)
							# if probability is lower or equal than 0, then return a graph without edges
							if probability <= 0:
														return graph

							# for each couple of nodes, add an edge from u to v
							# if the number randomly generated is greater than probability probability
							for i in range(UpperCAmelCase__				):
														for j in range(i + 1   ,   UpperCAmelCase__				):
																					if random.random() < probability:
																												graph[i].append(UpperCAmelCase__				)
																												if not directed:
																																			# if the graph is undirected, add an edge in from j to i, either
																																			graph[j].append(UpperCAmelCase__				)
							return graph




def 							lowerCamelCase			(   UpperCAmelCase__ :      int				)    ->   dict:
							return {
							    i: [j for j in range(UpperCAmelCase__				) if i != j] for i in range(UpperCAmelCase__				)
							}


if __name__ == "__main__":
						import doctest

						doctest.testmod()






'''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=_UpperCAmelCase)
class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = field(default='''image-classification''',  metadata={'''include_in_asdict_even_if_is_default''': True})
			UpperCamelCase__       = Features({'''image''': Image()})
			UpperCamelCase__       = Features({'''labels''': ClassLabel})
			UpperCamelCase__       = "image"
			UpperCamelCase__       = "labels"







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Tuple       ,    lowercase_       :						str					):
										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]       ,    lowercase_					):
																	raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''					)
										lowercase_      :    List[str]       		= copy.deepcopy(self					)
										lowercase_      :    List[str]       		= self.label_schema.copy()
										lowercase_      :    List[Any]       		= features[self.label_column]
										lowercase_      :    Optional[Any]       		= label_schema
										return task_template







			@property
			def 			SCREAMING_SNAKE_CASE_  (			self       :						int					):
										return {
										    self.image_column: "image",
										    self.label_column: "labels",
										}





