


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     __a     (       __UpperCamelCase			,			__UpperCamelCase ):
 def __init__(  self					)   ->							Tuple:




        '''simple docstring'''
        super().__init__()

        self.register_buffer('watermark_image'							,					torch.zeros((62, 62, 4)					)					)
        lowercase__:  int         =  None
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__							,					lowerCAmelCase__=None					)   ->							Optional[int]:




        '''simple docstring'''
        # copied from https://github.com/deep-floyd/IF/blob/b77482e36ca2031cb94dbca1001fc1e6400bf4ab/deepfloyd_if/modules/base.py#L287

        lowercase__:  int         =  images[0].height
        lowercase__:  int         =  images[0].width

        lowercase__:  List[Any]         =  sample_size or h

        lowercase__:  Optional[Any]         =  min(h / sample_size							,					w / sample_size					)
        lowercase__     ,		lowercase__:  Union[str, Any]         =  (int(h / coef					), int(w / coef					)) if coef < 1 else (h, w)

        lowercase__     ,		lowercase__:  Union[str, Any]         =  1_024**2, img_w * img_h
        lowercase__:  Union[str, Any]         =  (Sa / Sa) ** 0.5
        lowercase__     ,		lowercase__     ,		lowercase__:  Tuple         =  int(K * 62					), img_w - int(14 * K					), img_h - int(14 * K					)

        if self.watermark_image_as_pil is None:
               lowercase__:  str         =  self.watermark_image.to(torch.uinta					).cpu().numpy()
               lowercase__:  Tuple         =  Image.fromarray(lowerCAmelCase__							,					mode='RGBA'					)
               lowercase__:  int         =  watermark_image

        lowercase__:  Dict         =  self.watermark_image_as_pil.resize(
            (wm_size, wm_size)							,					PIL_INTERPOLATION['bicubic']							,					reducing_gap=lowerCAmelCase__					)

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

        return images






def   snake_case_	(    snake_case	)    ->							str:
       lowercase__:  Optional[Any]         =  1
       lowercase__:  Optional[Any]         =  0
       lowercase__:  int         =  1
       lowercase__:  Any         =  1
       lowercase__:  Optional[Any]         =  3
       lowercase__:  List[str]         =  3
       lowercase__:  Optional[Any]         =  limit
       lowercase__:  List[Any]         =  0

       lowercase__:  int         =  ''
       while counter != decimal + 1:
              if 4 * q + r - t < n * t:
                     result += str(snake_case	)
                     if counter == 0:
                            result += "."

                     if decimal == counter:
                            break

                     counter += 1
                     lowercase__:  List[Any]         =  10 * (r - n * t)
                     lowercase__:  int         =  ((10 * (3 * q + r)) // t) - 10 * n
                     q *= 10
                     lowercase__:  Any         =  nr
              else:
                     lowercase__:  List[str]         =  (2 * q + r) * l
                     lowercase__:  Tuple         =  (q * (7 * k) + 2 + (r * l)) // (t * l)
                     q *= k
                     t *= l
                     l += 2
                     k += 1
                     lowercase__:  Dict         =  nn
                     lowercase__:  Optional[int]         =  nr
       return result




def   snake_case_	(    )    ->							None:
       print(f'{calculate_pi(50	) = }'	)
       import doctest

       doctest.testmod()


if __name__ == "__main__":
 main()


