'''simple docstring'''

import unittest

from knapsack import greedy_knapsack as kp







class 							_lowercase	(							unittest.TestCase     ):


 '''simple docstring'''






 def a   ( self  :      List[str]				)    ->       Tuple:
  __lowerCAmelCase											=		[10, 20, 30, 40, 50, 60]
  __lowerCAmelCase											=		[2, 4, 6, 8, 10, 12]
  __lowerCAmelCase											=		1_00
  self.assertEqual(kp.calc_profit(A_ ,			A_ ,			A_				) ,			2_10				)
 def a   ( self  :      str				)    ->       Optional[int]:
  self.assertRaisesRegex(A_ ,			"""max_weight must greater than zero."""				)
 def a   ( self  :      Union[str, Any]				)    ->       Optional[int]:
  self.assertRaisesRegex(A_ ,			"""Weight can not be negative."""				)
 def a   ( self  :      Optional[Any]				)    ->       List[str]:
  self.assertRaisesRegex(A_ ,			"""Profit can not be negative."""				)
 def a   ( self  :      List[str]				)    ->       int:
  self.assertRaisesRegex(A_ ,			"""max_weight must greater than zero."""				)





 def a   ( self  :      List[Any]				)    ->       Optional[Any]:
  self.assertRaisesRegex(
      A_ ,			"""The length of profit and weight must be same."""				)


if __name__ == "__main__":
 unittest.main()










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 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    field(default='''image-classification'''							,	metadata={'''include_in_asdict_even_if_is_default''': True}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''image''': Image()}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''labels''': ClassLabel}     )
     __SCREAMING_SNAKE_CASE     					=    "image"
     __SCREAMING_SNAKE_CASE     					=    "labels"


     def        __snake_case(  self							,					A_    ):
       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]							,					A_    ):
         raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''    )
       _UpperCAmelCase		:							Tuple							=     copy.deepcopy(self    )
       _UpperCAmelCase		:							str							=     self.label_schema.copy()
       _UpperCAmelCase		:							Optional[Any]							=     features[self.label_column]
       _UpperCAmelCase		:							int							=     label_schema
       return task_template




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





