





'''simple docstring'''






import functools


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  if not isinstance(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ) or not all(isinstance(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ) for day in days   ):
    raise ValueError('''The parameter days should be a list of integers'''   )

  if len(__SCREAMING_SNAKE_CASE   ) != 3 or not all(isinstance(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ) for cost in costs   ):
    raise ValueError('''The parameter costs should be a list of three integers'''   )

  if len(__SCREAMING_SNAKE_CASE   ) == 0:
    return 0

  if min(__SCREAMING_SNAKE_CASE   ) <= 0:
    raise ValueError('''All days elements should be greater than 0'''   )

  if max(__SCREAMING_SNAKE_CASE   ) >= 366:
    raise ValueError('''All days elements should be less than 366'''   )

  _UpperCamelCase       			=set(__SCREAMING_SNAKE_CASE   )

  @functools.cache
  def dynamic_programming(__SCREAMING_SNAKE_CASE   ) -> int:
    if index > 365:
      return 0

    if index not in days_set:
      return dynamic_programming(index + 1   )

    return min(
        costs[0] + dynamic_programming(index + 1   )  ,      costs[1] + dynamic_programming(index + 7   )  ,      costs[2] + dynamic_programming(index + 30   )  ,      )

  return dynamic_programming(1   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()













'''simple docstring'''






from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=cva.getAffineTransform(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   )
  return cva.warpAffine(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      (rows, cols)   )


if __name__ == "__main__":
      # read original image
      __lowerCamelCase						: List[Any]		=   cva.imread(
          str(Path(__file__).resolve().parent.parent / 'image_data' / 'lena.jpg')
      )
      # turn image in gray scale value
      __lowerCamelCase						: List[Any]		=   cva.cvtColor(image, cva.COLOR_BGR2GRAY)
      # get image shape
      __lowerCamelCase		, __lowerCamelCase						: Any		=   gray_img.shape

      # set different points to rotate image
      __lowerCamelCase						: Optional[Any]		=   np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
      __lowerCamelCase						: Any		=   np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
      __lowerCamelCase						: int		=   np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
      __lowerCamelCase						: List[Any]		=   np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

      # add all rotated images in a list
      __lowerCamelCase						: int		=   [
          gray_img,
          get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
          get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
          get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
      ]

      # plot different image rotations
      __lowerCamelCase						: Optional[Any]		=   plt.figure(1)
      __lowerCamelCase						: Tuple		=   ['Original', 'Rotation 1', 'Rotation 2', 'Rotation 3']
      for i, image in enumerate(images):
            plt.subplot(2, 2, i + 1), plt.imshow(image, 'gray')
            plt.title(titles[i])
            plt.axis('off')
            plt.subplots_adjust(left=0.0, bottom=0.0_5, right=1.0, top=0.9_5)
      plt.show()






