


'''simple docstring'''






from __future__ import annotations






def 						_A					(lowerCAmelCase__	:int					,    lowerCAmelCase__	:list[int]					,    lowerCAmelCase__	:list[int]					,    lowerCAmelCase__	:int		) ->	int:




     '''simple docstring'''



     if counter == 0 or capacity == 0:
          return 0

     # If weight of the nth item is more than Knapsack of capacity,
     #   then this item cannot be included in the optimal solution,
     # else return the maximum of two cases:
     #   (1) nth item included
     #   (2) not included
     if weights[counter - 1] > capacity:
          return knapsack(lowerCAmelCase__					,    lowerCAmelCase__					,    lowerCAmelCase__					,    counter - 1		)
     else:
          _a         =				capacity - weights[counter - 1]
          _a         =				values[counter - 1] + knapsack(
              lowerCAmelCase__					,    lowerCAmelCase__					,    lowerCAmelCase__					,    counter - 1		)
          _a         =				knapsack(lowerCAmelCase__					,    lowerCAmelCase__					,    lowerCAmelCase__					,    counter - 1		)
          return max(lowerCAmelCase__					,    lowerCAmelCase__		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()





'''simple docstring'''






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
 from .image_encoder import PaintByExampleImageEncoder
 from .pipeline_paint_by_example import PaintByExamplePipeline

