

'''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=A_  )
class 							_snake_case       (				A_  ):
   _A				:   Optional[Any]			      =    field(default='''image-classification'''		,     metadata={'''include_in_asdict_even_if_is_default''': True}  )
   _A				:   List[Any]			      =    Features({'''image''': Image()}  )
   _A				:   Any			      =    Features({'''labels''': ClassLabel}  )
   _A				:   Optional[int]			      =    '''image'''
   _A				:   int			      =    '''labels'''
   def 			__UpperCamelCase  (       self	:					Optional[int]   ,SCREAMING_SNAKE_CASE__	:					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]   ,_lowerCamelCase							):
       raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''							)
     SCREAMING_SNAKE_CASE:List[Any]  					=    copy.deepcopy(self							)
     SCREAMING_SNAKE_CASE:str  					=    self.label_schema.copy()
     SCREAMING_SNAKE_CASE:Dict  					=    features[self.label_column]
     SCREAMING_SNAKE_CASE:Tuple  					=    label_schema
     return task_template







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








"""simple docstring"""



from math import sqrt
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int = 1_00_00_00		)     ->					int:
  _snake_case					     =       0
  _snake_case					     =       0
  _snake_case					     =       42

  while num_cuboids <= limit:
    max_cuboid_size += 1
    for sum_shortest_sides in range(2 ,					2 * max_cuboid_size + 1		):
      if sqrt(sum_shortest_sides**2 + max_cuboid_size**2		).is_integer():
        num_cuboids += (
            min(__lowerCamelCase ,					sum_shortest_sides // 2		)
            - max(1 ,					sum_shortest_sides - max_cuboid_size		)
            + 1
        )

  return max_cuboid_size


if __name__ == "__main__":
 print(F"{solution() = }")



