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 			__snake_case   (     __lowerCamelCase					,   __lowerCamelCase   ):
	def __init__(  self						)	->							List[Any]:
							'''simple docstring'''





							super().__init__()

							self.register_buffer('''watermark_image'''		,   torch.zeros((62, 62, 4)						)						)
							UpperCAmelCase    : Optional[Any]      =None






	def 	UpperCAmelCase__       (  self		,   snake_case__		,   snake_case__=None						)	->							Optional[int]:
							'''simple docstring'''





							UpperCAmelCase    : Dict      =images[0].height
							UpperCAmelCase    : Union[str, Any]      =images[0].width

							UpperCAmelCase    : List[str]      =sample_size or h

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

							UpperCAmelCase  ,						UpperCAmelCase    : int      =1024**2, img_w * img_h
							UpperCAmelCase    : str      =(Sa / Sa) ** 0.5
							UpperCAmelCase  ,						UpperCAmelCase  ,						UpperCAmelCase    : Any      =int(K * 62						), img_w - int(14 * K						), img_h - int(14 * K						)

							if self.watermark_image_as_pil is None:
													UpperCAmelCase    : Dict      =self.watermark_image.to(torch.uinta						).cpu().numpy()
													UpperCAmelCase    : int      =Image.fromarray(snake_case__		,   mode='''RGBA'''						)
													UpperCAmelCase    : int      =watermark_image

							UpperCAmelCase    : str      =self.watermark_image_as_pil.resize(
							    (wm_size, wm_size)		,   PIL_INTERPOLATION['''bicubic''']		,   reducing_gap=snake_case__						)

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

							return images

__snake_case			      =    [[0, 1, 1], [0, 0, 1], [1, 0, 0]]







class 			__snake_case   :
 def __init__(  self		,   snake_case__						)	->							Any:
       '''simple docstring'''





       UpperCAmelCase    : List[Any]      =name
       UpperCAmelCase    : Tuple      =[]
       UpperCAmelCase    : str      =[]
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							int:
       '''simple docstring'''





       self.inbound.append(snake_case__						)
 def 	UpperCAmelCase__       (  self		,   snake_case__						)	->							Dict:
       '''simple docstring'''





       self.outbound.append(snake_case__						)






 def __repr__(  self						)	->							Union[str, Any]:
       '''simple docstring'''





       return f'''<node={self.name} inbound={self.inbound} outbound={self.outbound}>'''





def   lowerCAmelCase_ (				__lowerCAmelCase		,					__lowerCAmelCase=3		,					__lowerCAmelCase=0.85						)->  Any:






      '''simple docstring'''





      UpperCAmelCase    : List[Any]      ={}
      for node in nodes:
            UpperCAmelCase    : str      =1

      UpperCAmelCase    : str      ={}
      for node in nodes:
            UpperCAmelCase    : int      =len(node.outbound						)

      for i in range(__lowerCAmelCase						):
            print(f'''======= Iteration {i + 1} ======='''						)
            for _, node in enumerate(__lowerCAmelCase						):
                  UpperCAmelCase    : Optional[int]      =(1 - d) + d * sum(
                      ranks[ib] / outbounds[ib] for ib in node.inbound						)
            print(__lowerCAmelCase						)





def   lowerCAmelCase_ (				)->  Union[str, Any]:






      '''simple docstring'''





      UpperCAmelCase    : Union[str, Any]      =list(input('''Enter Names of the Nodes: '''						).split()						)

      UpperCAmelCase    : str      =[Node(__lowerCAmelCase						) for name in names]

      for ri, row in enumerate(__lowerCAmelCase						):
            for ci, col in enumerate(__lowerCAmelCase						):
                  if col == 1:
                        nodes[ci].add_inbound(names[ri]						)
                        nodes[ri].add_outbound(names[ci]						)

      print('''======= Nodes ======='''						)
      for node in nodes:
            print(__lowerCAmelCase						)

      page_rank(__lowerCAmelCase						)


if __name__ == "__main__":
     main()
