

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

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

@dataclass(frozen=__lowerCamelCase			)
class    _lowercase				(					__lowerCamelCase			):
   _lowercase     :       str  					=    field(default='image-classification',metadata={'include_in_asdict_even_if_is_default': True}			)
   _lowercase     :       ClassVar[Features]  					=    Features({'image': Image()}			)
   _lowercase     :       ClassVar[Features]  					=    Features({'labels': ClassLabel}			)
   _lowercase     :       str  					=    "image"
   _lowercase     :       str  					=    "labels"

   def     UpperCamelCase					(				self	:    int			,						lowerCamelCase__	:    Any       ) ->			List[Any]:
         """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]			,						lowerCamelCase__       ):
               raise ValueError(F"Column {self.label_column} is not a ClassLabel."       )
         A_							       =		copy.deepcopy(self       )
         A_							       =		self.label_schema.copy()
         A_							       =		features[self.label_column]
         A_							       =		label_schema
         return task_template





   @property
   def     UpperCamelCase					(				self	:    Optional[Any]       ) ->			Dict[str, str]:
         """simple docstring"""





         return {
             self.image_column: "image",
             self.label_column: "labels",
         }








def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE = 1000   ):
      '''simple docstring'''







      return sum(2 * a * ((a - 1) // 2) for a in range(3		,				n + 1   )   )


if __name__ == "__main__":
      print(solution())





