

'''simple docstring'''

import numpy as np

A_       						=							[
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]





class 							_snake_case :
   def __init__( self			:      Optional[Any]							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					np.array(SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      List[str]     ,SCREAMING_SNAKE_CASE__			:      str							):
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					np.where(letter == self.SQUARE							)
     SCREAMING_SNAKE_CASE:str						      =					np.concatenate([indexa + 1, indexa + 1]							)
     return indexes
   def     __UpperCamelCase						( self			:      Union[str, Any]     ,SCREAMING_SNAKE_CASE__			:      int     ,SCREAMING_SNAKE_CASE__			:      int							):
     SCREAMING_SNAKE_CASE:List[Any]						      =					self.SQUARE[indexa - 1, indexa - 1]
     return letter
   def     __UpperCamelCase						( self			:      Optional[Any]     ,SCREAMING_SNAKE_CASE__			:      str							):
     SCREAMING_SNAKE_CASE:str						      =					message.lower()
     SCREAMING_SNAKE_CASE:List[str]						      =					message.replace(" "     ,""							)
     SCREAMING_SNAKE_CASE:int						      =					message.replace("j"     ,"i"							)

     SCREAMING_SNAKE_CASE:Optional[Any]						      =					np.empty((2, len(SCREAMING_SNAKE_CASE__							))							)
     for letter_index in range(len(SCREAMING_SNAKE_CASE__							)							):
       SCREAMING_SNAKE_CASE:Optional[Any]						      =					self.letter_to_numbers(message[letter_index]							)

       SCREAMING_SNAKE_CASE:List[str]						      =					numbers[0]
       SCREAMING_SNAKE_CASE:Tuple						      =					numbers[1]

     SCREAMING_SNAKE_CASE:Tuple						      =					first_step.reshape(2 * len(SCREAMING_SNAKE_CASE__							)							)
     SCREAMING_SNAKE_CASE:Optional[int]						      =					""
     for numbers_index in range(len(SCREAMING_SNAKE_CASE__							)							):
       SCREAMING_SNAKE_CASE:Tuple						      =					int(second_step[numbers_index * 2]							)
       SCREAMING_SNAKE_CASE:Optional[Any]						      =					int(second_step[(numbers_index * 2) + 1]							)
       SCREAMING_SNAKE_CASE:Dict						      =					self.numbers_to_letter(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
       SCREAMING_SNAKE_CASE:str						      =					encoded_message + letter

     return encoded_message







   def     __UpperCamelCase						( self			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      str							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					message.lower()
     message.replace(" "     ,""							)
     SCREAMING_SNAKE_CASE:List[str]						      =					np.empty(2 * len(SCREAMING_SNAKE_CASE__							)							)
     for letter_index in range(len(SCREAMING_SNAKE_CASE__							)							):
       SCREAMING_SNAKE_CASE:Any						      =					self.letter_to_numbers(message[letter_index]							)
       SCREAMING_SNAKE_CASE:str						      =					numbers[0]
       SCREAMING_SNAKE_CASE:int						      =					numbers[1]

     SCREAMING_SNAKE_CASE:Any						      =					first_step.reshape((2, len(SCREAMING_SNAKE_CASE__							))							)
     SCREAMING_SNAKE_CASE:List[str]						      =					""
     for numbers_index in range(len(SCREAMING_SNAKE_CASE__							)							):
       SCREAMING_SNAKE_CASE:Optional[int]						      =					int(second_step[0, numbers_index]							)
       SCREAMING_SNAKE_CASE:List[Any]						      =					int(second_step[1, numbers_index]							)
       SCREAMING_SNAKE_CASE:Dict						      =					self.numbers_to_letter(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
       SCREAMING_SNAKE_CASE:List[Any]						      =					decoded_message + letter

     return decoded_message





'''simple docstring'''

import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
    A_       						=							{
        "linear": PIL.Image.Resampling.BILINEAR,
        "bilinear": PIL.Image.Resampling.BILINEAR,
        "bicubic": PIL.Image.Resampling.BICUBIC,
        "lanczos": PIL.Image.Resampling.LANCZOS,
        "nearest": PIL.Image.Resampling.NEAREST,
    }
else:
    A_       						=							{
        "linear": PIL.Image.LINEAR,
        "bilinear": PIL.Image.BILINEAR,
        "bicubic": PIL.Image.BICUBIC,
        "lanczos": PIL.Image.LANCZOS,
        "nearest": PIL.Image.NEAREST,
    }





def    A_  ( snake_case ):
  SCREAMING_SNAKE_CASE:Any						      =					(images / 2 + 0.5).clamp(0      ,       1 )
  SCREAMING_SNAKE_CASE:Optional[Any]						      =					images.cpu().permute(0      ,       2      ,       3      ,       1 ).float().numpy()
  SCREAMING_SNAKE_CASE:str						      =					numpy_to_pil(snake_case )
  return images





def    A_  ( snake_case ):
  if images.ndim == 3:
    SCREAMING_SNAKE_CASE:List[str]						      =					images[None, ...]
  SCREAMING_SNAKE_CASE:List[Any]						      =					(images * 255).round().astype("uint8" )
  if images.shape[-1] == 1:
    # special case for grayscale (single channel) images
    SCREAMING_SNAKE_CASE:Any						      =					[Image.fromarray(image.squeeze()      ,       mode="L" ) for image in images]
  else:
    SCREAMING_SNAKE_CASE:int						      =					[Image.fromarray(snake_case ) for image in images]

  return pil_images






