"""simple docstring"""







from pathlib import Path

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



def     lowercase__( __SCREAMING_SNAKE_CASE							:  np.ndarray  ,    __SCREAMING_SNAKE_CASE							:  np.ndarray  ,    __SCREAMING_SNAKE_CASE							:  np.ndarray  ,    __SCREAMING_SNAKE_CASE							:  int  ,    __SCREAMING_SNAKE_CASE							:  int   ):
     lowercase_			:       Optional[int]									=			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
       __SCREAMING_SNAKE_CASE								=cva.imread(
           str(Path(__file__).resolve().parent.parent / "image_data" / "lena.jpg")
       )
       # turn image in gray scale value
       __SCREAMING_SNAKE_CASE								=cva.cvtColor(image, cva.COLOR_BGR2GRAY)
       # get image shape
       __SCREAMING_SNAKE_CASE			, __SCREAMING_SNAKE_CASE								=gray_img.shape

       # set different points to rotate image
       __SCREAMING_SNAKE_CASE								=np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
       __SCREAMING_SNAKE_CASE								=np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
       __SCREAMING_SNAKE_CASE								=np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
       __SCREAMING_SNAKE_CASE								=np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

       # add all rotated images in a list
       __SCREAMING_SNAKE_CASE								=[
           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
       __SCREAMING_SNAKE_CASE								=plt.figure(1)
       __SCREAMING_SNAKE_CASE								=["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=0.05, right=1.0, top=0.95)
       plt.show()


"""simple docstring"""







from argparse import ArgumentParser

from .env import EnvironmentCommand



def     lowercase__( ):
     lowercase_			:       List[Any]									=			ArgumentParser('Diffusers CLI tool'  ,    usage='diffusers-cli <command> [<args>]'   )
     lowercase_			:       int									=			parser.add_subparsers(help='diffusers-cli command helpers'   )

     # Register commands
     EnvironmentCommand.register_subcommand(__SCREAMING_SNAKE_CASE   )

     # Let's go
     lowercase_			:       str									=			parser.parse_args()

     if not hasattr(__SCREAMING_SNAKE_CASE  ,    'func'   ):
          parser.print_help()
          exit(1   )

     # Run
     lowercase_			:       Optional[Any]									=			args.func(__SCREAMING_SNAKE_CASE   )
     service.run()


if __name__ == "__main__":
       main()

