


'''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 					_A						(						__UpperCamelCase    ,  __UpperCamelCase							):



   '''simple docstring'''






   def __init__(	self	:					Optional[int]						)->	Tuple:
          super().__init__()

          self.register_buffer("""watermark_image"""					, torch.zeros((62, 62, 4)						)						)
          snake_case__					:	int          =					None




   def   __lowerCAmelCase						(	self	:					Any					, lowerCamelCase	:					Optional[Any]					, lowerCamelCase	:					str=None						)->	Optional[int]:
          snake_case__					:	int          =					images[0].height
          snake_case__					:	int          =					images[0].width

          snake_case__					:	List[Any]          =					sample_size or h

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

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

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

          snake_case__					:	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








from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime





class     __a     (       __UpperCamelCase ):
 def __init__(  self							,					*lowerCAmelCase__							,					**lowerCAmelCase__					)   ->							Any:




        '''simple docstring'''
        super().__init__(*lowerCAmelCase__							,					**lowerCAmelCase__					)
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__							,					lowerCAmelCase__					)   ->							Union[str, Any]:




        '''simple docstring'''
        lowercase__:  str         =  (
            next_prime(value % self.size_table					)
            if not is_prime(value % self.size_table					)
            else value % self.size_table
        )  # gt = bigger than
        return next_prime_gt - (data % next_prime_gt)
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__							,					lowerCAmelCase__							,					lowerCAmelCase__					)   ->							Union[str, Any]:




        '''simple docstring'''
        return (increment * self.__hash_function_a(lowerCAmelCase__							,					lowerCAmelCase__					)) % self.size_table
 def 						SCREAMING_SNAKE_CASE__  (  self							,					lowerCAmelCase__							,					lowerCAmelCase__=None					)   ->							str:




        '''simple docstring'''
        lowercase__:  Dict         =  1
        lowercase__:  str         =  self.hash_function(lowerCAmelCase__					)

        while self.values[new_key] is not None and self.values[new_key] != key:
               lowercase__:  List[Any]         =  (
                   self.__hash_double_function(lowerCAmelCase__							,					lowerCAmelCase__							,					lowerCAmelCase__					)
                   if self.balanced_factor() >= self.lim_charge
                   else None
               )
               if new_key is None:
                      break
               else:
                      i += 1

        return new_key


