'''simple docstring'''

# limitations under the License.


from typing import Optional, Tuple, Union

import torch

from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class 							lowercase_    (     _A						):







    def __init__(	self       ,     UpperCamelCase__       ,     UpperCamelCase__				)				->       str:





     """simple docstring"""

     super().__init__()
     self.register_modules(unet=UpperCamelCase__       ,     scheduler=UpperCamelCase__				)







    @torch.no_grad()
    def __call__(	self       ,     UpperCamelCase__ = 1       ,     UpperCamelCase__ = None       ,     UpperCamelCase__ = 5_0       ,     UpperCamelCase__ = "pil"       ,     UpperCamelCase__ = True       ,     **UpperCamelCase__       ,     )				->       Union[ImagePipelineOutput, Tuple]:





     """simple docstring"""

     UpperCAmelCase_				       =					torch.randn(
         (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)       ,     generator=UpperCamelCase__       ,     )
     UpperCAmelCase_				       =					image.to(self.device				)

     # set step values
     self.scheduler.set_timesteps(UpperCamelCase__				)

     for t in self.progress_bar(self.scheduler.timesteps				):
      # 1. predict noise model_output
      UpperCAmelCase_				       =					self.unet(UpperCamelCase__       ,     UpperCamelCase__				).sample

      # 2. predict previous mean of image x_t-1 and add variance depending on eta
      # eta corresponds to η in paper and should be between [0, 1]
      # do x_t -> x_t-1
      UpperCAmelCase_				       =					self.scheduler.step(UpperCamelCase__       ,     UpperCamelCase__       ,     UpperCamelCase__				).prev_sample

     UpperCAmelCase_				       =					(image / 2 + 0.5).clamp(0       ,     1				)
     UpperCAmelCase_				       =					image.cpu().permute(0       ,     2       ,     3       ,     1				).numpy()
     if output_type == "pil":
      UpperCAmelCase_				       =					self.numpy_to_pil(UpperCamelCase__				)

     if not return_dict:
      return (image,), "This is a local test"

     return ImagePipelineOutput(images=UpperCamelCase__				), "This is a local test"

'''simple docstring'''

import random
import sys

__snake_case       :   str  		=    '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''



def lowerCamelCase__						(       ):
 UpperCAmelCase_				       =					input("Enter message: "       )
 UpperCAmelCase_				       =					"LFWOAYUISVKMNXPBDCRJTQEGHZ"
 UpperCAmelCase_				       =					input("Encrypt/Decrypt [e/d]: "       )

 check_valid_key(A_       )

 if resp.lower().startswith("e"       ):
  UpperCAmelCase_				       =					"encrypt"
  UpperCAmelCase_				       =					encrypt_message(A_       ,			A_       )
 elif resp.lower().startswith("d"       ):
  UpperCAmelCase_				       =					"decrypt"
  UpperCAmelCase_				       =					decrypt_message(A_       ,			A_       )

 print(F"""\n{mode.title()}ion: \n{translated}"""       )



def lowerCamelCase__						(       A_       ):
 UpperCAmelCase_				       =					list(A_       )
 UpperCAmelCase_				       =					list(A_       )
 key_list.sort()
 letters_list.sort()

 if key_list != letters_list:
  sys.exit("Error in the key or symbol set."       )



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



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



def lowerCamelCase__						(       A_       ,			A_       ,			A_       ):
 UpperCAmelCase_				       =					""
 UpperCAmelCase_				       =					LETTERS
 UpperCAmelCase_				       =					key

 if mode == "decrypt":
  UpperCAmelCase_       ,       UpperCAmelCase_				       =					chars_b, chars_a

 for symbol in message:
  if symbol.upper() in chars_a:
   UpperCAmelCase_				       =					chars_a.find(symbol.upper()       )
   if symbol.isupper():
    translated += chars_b[sym_index].upper()
   else:
    translated += chars_b[sym_index].lower()
  else:
   translated += symbol

 return translated



def lowerCamelCase__						(       ):
 UpperCAmelCase_				       =					list(A_       )
 random.shuffle(A_       )
 return "".join(A_       )


if __name__ == "__main__":
      main()
