





import numpy as np
import PIL
import torch
import torchvision.transforms as T
import torchvision.transforms.functional as TF
from PIL import Image






def 			lowerCamelCase__	(__lowerCamelCase,				__lowerCamelCase=256		):
     _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							min(img.size		)

     if s < target_image_size:
          raise ValueError(f"""min dim for image {s} < {target_image_size}"""		)

     _SCREAMING_SNAKE_CASE				:		Any  			=							target_image_size / s
     _SCREAMING_SNAKE_CASE				:		Tuple  			=							(round(r * img.size[1]		), round(r * img.size[0]		))
     _SCREAMING_SNAKE_CASE				:		Dict  			=							TF.resize(__lowerCamelCase,				__lowerCamelCase,				interpolation=PIL.Image.LANCZOS		)
     _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							TF.center_crop(__lowerCamelCase,				output_size=2 * [target_image_size]		)
     _SCREAMING_SNAKE_CASE				:		List[Any]  			=							torch.unsqueeze(T.ToTensor()(__lowerCamelCase		),				0		)
     return img






def 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		int  			=							2.0 * x - 1.0
     return x






def 			lowerCamelCase__	(__lowerCamelCase,				__lowerCamelCase=True,				__lowerCamelCase="RGB"		):
     _SCREAMING_SNAKE_CASE				:		Dict  			=							x.detach().cpu()
     if process:
          _SCREAMING_SNAKE_CASE				:		int  			=							post_process_tensor(__lowerCamelCase		)
     _SCREAMING_SNAKE_CASE				:		List[str]  			=							x.numpy()
     if process:
          _SCREAMING_SNAKE_CASE				:		Dict  			=							(255 * x).astype(np.uinta		)
     _SCREAMING_SNAKE_CASE				:		str  			=							Image.fromarray(__lowerCamelCase		)
     if not x.mode == mode:
          _SCREAMING_SNAKE_CASE				:		int  			=							x.convert(__lowerCamelCase		)
     return x






def 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							torch.clamp(__lowerCamelCase,				-1.0,				1.0		)
     _SCREAMING_SNAKE_CASE				:		str  			=							(x + 1.0) / 2.0
     _SCREAMING_SNAKE_CASE				:		str  			=							x.permute(1,				2,				0		)
     return x






def 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							post_process_tensor(x.squeeze()		)
     return x.permute(2,				0,				1		).unsqueeze(0		)






from typing import Literal

UpperCamelCase__          ='ABCDEFGHIJKLMNOPQRSTUVWXYZ'






def 			lowerCamelCase__	(__lowerCamelCase,				__lowerCamelCase,				__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Tuple  			=							LETTERS if mode == "decrypt" else key
     _SCREAMING_SNAKE_CASE				:		Tuple  			=							key if mode == "decrypt" else LETTERS
     _SCREAMING_SNAKE_CASE				:		Dict  			=							""
     # loop through each symbol in the message
     for symbol in message:
          if symbol.upper() in chars_a:
               # encrypt/decrypt the symbol
               _SCREAMING_SNAKE_CASE				:		List[str]  			=							chars_a.find(symbol.upper()		)
               if symbol.isupper():
                    translated += chars_b[sym_index].upper()
               else:
                    translated += chars_b[sym_index].lower()
          else:
               # symbol is not in LETTERS, just add it
               translated += symbol
     return translated






def 			lowerCamelCase__	(__lowerCamelCase,				__lowerCamelCase		):
     return translate_message(__lowerCamelCase,				__lowerCamelCase,				"encrypt"		)






def 			lowerCamelCase__	(__lowerCamelCase,				__lowerCamelCase		):
     return translate_message(__lowerCamelCase,				__lowerCamelCase,				"decrypt"		)






def 			lowerCamelCase__	():
     _SCREAMING_SNAKE_CASE				:		str  			=							"Hello World"
     _SCREAMING_SNAKE_CASE				:		List[str]  			=							"QWERTYUIOPASDFGHJKLZXCVBNM"
     _SCREAMING_SNAKE_CASE				:		Any  			=							"decrypt"  # set to 'encrypt' or 'decrypt'

     if mode == "encrypt":
          _SCREAMING_SNAKE_CASE				:		int  			=							encrypt_message(__lowerCamelCase,				__lowerCamelCase		)
     elif mode == "decrypt":
          _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							decrypt_message(__lowerCamelCase,				__lowerCamelCase		)
     print(f"""Using the key {key}, the {mode}ed message is: {translated}"""		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()