





'''simple docstring'''


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


def 		__a(SCREAMING_SNAKE_CASE_					:   Optional[int]						,    SCREAMING_SNAKE_CASE_					:   Dict=256      ):



    '''simple docstring'''





    _lowerCAmelCase		     = min(img.size      )

    if s < target_image_size:
        raise ValueError(F'''min dim for image {s} < {target_image_size}'''      )

    _lowerCAmelCase		     = target_image_size / s
    _lowerCAmelCase		     = (round(r * img.size[1]      ), round(r * img.size[0]      ))
    _lowerCAmelCase		     = TF.resize(SCREAMING_SNAKE_CASE_						,    SCREAMING_SNAKE_CASE_						,    interpolation=PIL.Image.LANCZOS      )
    _lowerCAmelCase		     = TF.center_crop(SCREAMING_SNAKE_CASE_						,    output_size=2 * [target_image_size]      )
    _lowerCAmelCase		     = torch.unsqueeze(T.ToTensor()(SCREAMING_SNAKE_CASE_      )						,    0      )
    return img


def 		__a(SCREAMING_SNAKE_CASE_					:   List[Any]      ):



    '''simple docstring'''





    _lowerCAmelCase		     = 2.0 * x - 1.0
    return x


def 		__a(SCREAMING_SNAKE_CASE_					:   int						,    SCREAMING_SNAKE_CASE_					:   Optional[int]=True						,    SCREAMING_SNAKE_CASE_					:   Any="RGB"      ):



    '''simple docstring'''





    _lowerCAmelCase		     = x.detach().cpu()
    if process:
        _lowerCAmelCase		     = post_process_tensor(SCREAMING_SNAKE_CASE_      )
    _lowerCAmelCase		     = x.numpy()
    if process:
        _lowerCAmelCase		     = (255 * x).astype(np.uinta      )
    _lowerCAmelCase		     = Image.fromarray(SCREAMING_SNAKE_CASE_      )
    if not x.mode == mode:
        _lowerCAmelCase		     = x.convert(SCREAMING_SNAKE_CASE_      )
    return x


def 		__a(SCREAMING_SNAKE_CASE_					:   Dict      ):



    '''simple docstring'''





    _lowerCAmelCase		     = torch.clamp(SCREAMING_SNAKE_CASE_						,    -1.0						,    1.0      )
    _lowerCAmelCase		     = (x + 1.0) / 2.0
    _lowerCAmelCase		     = x.permute(1						,    2						,    0      )
    return x





def 		__a(SCREAMING_SNAKE_CASE_					:   Optional[Any]      ):



    '''simple docstring'''





    _lowerCAmelCase		     = post_process_tensor(x.squeeze()      )
    return x.permute(2						,    0						,    1      ).unsqueeze(0      )






'''simple docstring'''


_SCREAMING_SNAKE_CASE			=							{
    "A": ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
    "B": ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
    "C": ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
    "D": ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
    "E": ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
    "F": ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
    "G": ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
    "H": ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
    "I": ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
    "J": ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
    "K": ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
    "L": ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
    "M": ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
    "N": ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
    "O": ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
    "P": ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
    "Q": ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
    "R": ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
    "S": ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
    "T": ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
    "U": ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
    "V": ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
    "W": ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
    "X": ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
    "Y": ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
    "Z": ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
}


def 		__a(SCREAMING_SNAKE_CASE_					:   str      ):



    '''simple docstring'''





    return [alphabet[char] for char in key.upper()]


def 		__a(SCREAMING_SNAKE_CASE_					:   str						,    SCREAMING_SNAKE_CASE_					:   str      ):



    '''simple docstring'''





    _lowerCAmelCase		     = ""
    _lowerCAmelCase		     = 0
    _lowerCAmelCase		     = generate_table(SCREAMING_SNAKE_CASE_      )
    for char in words.upper():
        cipher += get_opponent(table[count]						,    SCREAMING_SNAKE_CASE_      )
        _lowerCAmelCase		     = (count + 1) % len(SCREAMING_SNAKE_CASE_      )
    return cipher


def 		__a(SCREAMING_SNAKE_CASE_					:   str						,    SCREAMING_SNAKE_CASE_					:   str      ):



    '''simple docstring'''





    return encrypt(SCREAMING_SNAKE_CASE_						,    SCREAMING_SNAKE_CASE_      )


def 		__a(SCREAMING_SNAKE_CASE_					:   tuple[str, str]						,    SCREAMING_SNAKE_CASE_					:   str      ):



    '''simple docstring'''





    _lowerCAmelCase		     = 0 if char in table[0] else 1
    _lowerCAmelCase		     = table[row].index(SCREAMING_SNAKE_CASE_      )
    return row, col


def 		__a(SCREAMING_SNAKE_CASE_					:   tuple[str, str]						,    SCREAMING_SNAKE_CASE_					:   str      ):



    '''simple docstring'''





    _lowerCAmelCase     ,     _lowerCAmelCase		     = get_position(SCREAMING_SNAKE_CASE_						,    char.upper()      )
    if row == 1:
        return table[0][col]
    else:
        return table[1][col] if row == 0 else char


if __name__ == "__main__":
       import doctest

       doctest.testmod()  # Fist ensure that all our tests are passing...
       _SCREAMING_SNAKE_CASE			=							input("Enter key: ").strip()
       _SCREAMING_SNAKE_CASE			=							input("Enter text to encrypt: ").strip()
       _SCREAMING_SNAKE_CASE			=							encrypt(key, text)

       print(f'''Encrypted: {cipher_text}''')
       print(f'''Decrypted with key: {decrypt(key, cipher_text)}''')


