
"""simple docstring"""



import numpy as np
import torch
from imwatermark import WatermarkEncoder


# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L66
_snake_case          =						0b1_0_1_1_0_0_1_1_1_1_1_0_1_1_0_0_1_0_0_1_0_0_0_0_0_1_1_1_1_0_1_1_1_0_1_1_0_0_0_1_1_0_0_1_1_1_1_0
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
_snake_case          =						[int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]
class        _SCREAMING_SNAKE_CASE  :






    '''simple docstring'''



    def __init__(					self	:			Dict  )		->  List[str]:







           """simple docstring"""




           _lowerCAmelCase  	=			WATERMARK_BITS
           _lowerCAmelCase  	=			WatermarkEncoder()

           self.encoder.set_watermark('bits'				,     self.watermark  )







    def 				__lowerCamelCase	(					self	:			Optional[Any]				,     UpperCAmelCase_	:			torch.FloatTensor  )		->  List[Any]:







           """simple docstring"""




           if images.shape[-1] < 256:
                  return images

           _lowerCAmelCase  	=			(255 * (images / 2 + 0.5)).cpu().permute(0				,     2				,     3				,     1  ).float().numpy()

           _lowerCAmelCase  	=			[self.encoder.encode(UpperCAmelCase_				,     'dwtDct'  ) for image in images]

           _lowerCAmelCase  	=			torch.from_numpy(np.array(UpperCAmelCase_  )  ).permute(0				,     3				,     1				,     2  )

           _lowerCAmelCase  	=			torch.clamp(2 * (images / 255 - 0.5)				,     min=-1.0				,     max=1.0  )
           return images








"""simple docstring"""



def 	__snake_case  (    SCREAMING_SNAKE_CASE:					str						):






							"""simple docstring"""



							_lowerCAmelCase  	=			[int(SCREAMING_SNAKE_CASE						) for i in ip_va_address.split('.'						) if i.isdigit()]
							return len(SCREAMING_SNAKE_CASE						) == 4 and all(0 <= int(SCREAMING_SNAKE_CASE						) <= 254 for octet in octets						)


if __name__ == "__main__":
	_snake_case          =						input().strip()
	_snake_case          =						'''valid''' if is_ip_va_address_valid(ip) else '''invalid'''
	print(f'{ip} is a {valid_or_invalid} IP v4 address.')






