
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 		lowercase_       (       __SCREAMING_SNAKE_CASE							,	__SCREAMING_SNAKE_CASE				):

 def __init__(      self     ):




        """simple docstring"""


        super().__init__()

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

 def lowerCamelCase_				(      self     ,	__UpperCamelCase     ,	__UpperCamelCase=None     ):




        """simple docstring"""


        UpperCamelCase_							       =       images[0].height
        UpperCamelCase_							       =       images[0].width

        UpperCamelCase_							       =       sample_size or h

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

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

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

        UpperCamelCase_							       =       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





def 				lowerCamelCase__				(						a__  :  float	,      a__  :  float	,      a__  :  float     )		->	float:
       if mass < 0:
              raise ValueError("""The mass of the body cannot be negative"""     )
       if radius <= 0:
              raise ValueError("""The radius is always a positive non zero integer"""     )
       return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



