

"""simple docstring"""




from typing import List

import PIL
import torch
from PIL import Image

from ...configuration_utils import ConfigMixin
from ...models.modeling_utils import ModelMixin
from ...utils import PIL_INTERPOLATION





class 				lowerCamelCase  (lowercase_     ,lowercase_     ):

			def __init__(   self			:  int    )				->      str:
						super().__init__()

						self.register_buffer("""watermark_image"""      ,			torch.zeros((6_2, 6_2, 4)    )    )
						SCREAMING_SNAKE_CASE__									= None





			def    SCREAMING_SNAKE_CASE			(   self			:  Optional[int]      ,			__UpperCAmelCase			:  List[PIL.Image.Image]      ,			__UpperCAmelCase			:  Optional[int]=None    )				->      Union[str, Any]:
						SCREAMING_SNAKE_CASE__									= images[0].height
						SCREAMING_SNAKE_CASE__									= images[0].width

						SCREAMING_SNAKE_CASE__									= sample_size or h

						SCREAMING_SNAKE_CASE__									= min(h / sample_size      ,			w / sample_size    )
						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__									= (int(h / coef    ), int(w / coef    )) if coef < 1 else (h, w)

						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__									= 1_0_2_4**2, img_w * img_h
						SCREAMING_SNAKE_CASE__									= (Sa / Sa) ** 0.5
						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__									= int(K * 6_2    ), img_w - int(1_4 * K    ), img_h - int(1_4 * K    )

						if self.watermark_image_as_pil is None:
									SCREAMING_SNAKE_CASE__									= self.watermark_image.to(torch.uinta    ).cpu().numpy()
									SCREAMING_SNAKE_CASE__									= Image.fromarray(__UpperCAmelCase      ,			mode="""RGBA"""    )
									SCREAMING_SNAKE_CASE__									= watermark_image

						SCREAMING_SNAKE_CASE__									= self.watermark_image_as_pil.resize(
						    (wm_size, wm_size)      ,			PIL_INTERPOLATION["""bicubic"""]      ,			reducing_gap=__UpperCAmelCase    )

						for pil_img in images:
									pil_img.paste(__UpperCAmelCase      ,			box=(wm_x - wm_size, wm_y - wm_size, wm_x, wm_y)      ,			mask=wm_img.split()[-1]    )

						return images





"""simple docstring"""




def 		A    (       snake_case__						,			snake_case__      ):




			'''simple docstring'''


			return a + b


if __name__ == "__main__":
						A_							:     List[str]     =	5
						A_							:     Optional[int]     =	6
						print(F'The sum of {a} + {b} is {add(a, b)}')


