'''simple docstring'''





from __future__ import annotations

SCREAMING_SNAKE_CASE_:					str  =tuple[int, int, int]
SCREAMING_SNAKE_CASE_:					Optional[int]  =tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
SCREAMING_SNAKE_CASE_:					List[str]  ='ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
SCREAMING_SNAKE_CASE_:					Tuple  ='EGZWVONAHDCLFQMSIPJBYUKXTR'
SCREAMING_SNAKE_CASE_:					str  ='FOBHMDKEXQNRAULPGSJVTYICZW'
SCREAMING_SNAKE_CASE_:					List[Any]  ='ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
SCREAMING_SNAKE_CASE_:					List[str]  ={
    'A': 'N',
    'N': 'A',
    'B': 'O',
    'O': 'B',
    'C': 'P',
    'P': 'C',
    'D': 'Q',
    'Q': 'D',
    'E': 'R',
    'R': 'E',
    'F': 'S',
    'S': 'F',
    'G': 'T',
    'T': 'G',
    'H': 'U',
    'U': 'H',
    'I': 'V',
    'V': 'I',
    'J': 'W',
    'W': 'J',
    'K': 'X',
    'X': 'K',
    'L': 'Y',
    'Y': 'L',
    'M': 'Z',
    'Z': 'M',
}

# -------------------------- extra rotors --------------------------
SCREAMING_SNAKE_CASE_:					Union[str, Any]  ='RMDJXFUWGISLHVTCQNKYPBEZOA'
SCREAMING_SNAKE_CASE_:					Optional[int]  ='SGLCPQWZHKXAREONTFBVIYJUDM'
SCREAMING_SNAKE_CASE_:					int  ='HVSICLTYKQUBXDWAJZOMFGPREN'
SCREAMING_SNAKE_CASE_:					Dict  ='RZWQHFMVDBKICJLNTUXAGYPSOE'
SCREAMING_SNAKE_CASE_:					Tuple  ='LFKIJODBEGAMQPXVUHYSTCZRWN'
SCREAMING_SNAKE_CASE_:					List[Any]  ='KOAEGVDHXPQZMLFTYWJNBRCIUS'





def      lowerCAmelCase_    ( snake_case_	:			RotorPositionT ,   snake_case_	:			RotorSelectionT ,   snake_case_	:			str      )   ->				tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:


     '''simple docstring'''




     if (unique_rotsel := len(set(snake_case_      )      )) < 3:
          UpperCAmelCase_	   =       f"""Please use 3 unique rotors (not {unique_rotsel})"""
          raise Exception(snake_case_      )

     # Checks if rotor positions are valid
     UpperCAmelCase_   ,			UpperCAmelCase_   ,			UpperCAmelCase_	   =       rotpos
     if not 0 < rotorposa <= len(snake_case_      ):
          UpperCAmelCase_	   =       f"""First rotor position is not within range of 1..26 ({rotorposa}"""
          raise ValueError(snake_case_      )
     if not 0 < rotorposa <= len(snake_case_      ):
          UpperCAmelCase_	   =       f"""Second rotor position is not within range of 1..26 ({rotorposa})"""
          raise ValueError(snake_case_      )
     if not 0 < rotorposa <= len(snake_case_      ):
          UpperCAmelCase_	   =       f"""Third rotor position is not within range of 1..26 ({rotorposa})"""
          raise ValueError(snake_case_      )

     # Validates string and returns dict
     UpperCAmelCase_	   =       _plugboard(snake_case_      )

     return rotpos, rotsel, pbdict





def      lowerCAmelCase_    ( snake_case_	:			str      )   ->				dict[str, str]:


     '''simple docstring'''




     if not isinstance(snake_case_ ,   snake_case_      ):
          UpperCAmelCase_	   =       f"""Plugboard setting isn't type string ({type(snake_case_      )})"""
          raise TypeError(snake_case_      )
     elif len(snake_case_      ) % 2 != 0:
          UpperCAmelCase_	   =       f"""Odd number of symbols ({len(snake_case_      )})"""
          raise Exception(snake_case_      )
     elif pbstring == "":
          return {}

     pbstring.replace(" " ,   ""      )

     # Checks if all characters are unique
     UpperCAmelCase_	   =       set()
     for i in pbstring:
          if i not in abc:
               UpperCAmelCase_	   =       f"""'{i}' not in list of symbols"""
               raise Exception(snake_case_      )
          elif i in tmppbl:
               UpperCAmelCase_	   =       f"""Duplicate symbol ({i})"""
               raise Exception(snake_case_      )
          else:
               tmppbl.add(snake_case_      )
     del tmppbl

     # Created the dictionary
     UpperCAmelCase_	   =       {}
     for j in range(0 ,   len(snake_case_      ) - 1 ,   2      ):
          UpperCAmelCase_	   =       pbstring[j + 1]
          UpperCAmelCase_	   =       pbstring[j]

     return pb





def      lowerCAmelCase_    ( snake_case_	:			str ,   snake_case_	:			RotorPositionT ,   snake_case_	:			RotorSelectionT = (rotora, rotora, rotora) ,   snake_case_	:			str = "" ,   )   ->				str:


     '''simple docstring'''




     UpperCAmelCase_	   =       text.upper()
     UpperCAmelCase_   ,			UpperCAmelCase_   ,			UpperCAmelCase_	   =       _validator(
         snake_case_ ,   snake_case_ ,   plugb.upper()      )

     UpperCAmelCase_   ,			UpperCAmelCase_   ,			UpperCAmelCase_	   =       rotor_position
     UpperCAmelCase_   ,			UpperCAmelCase_   ,			UpperCAmelCase_	   =       rotor_selection
     rotorposa -= 1
     rotorposa -= 1
     rotorposa -= 1

     UpperCAmelCase_	   =       []

     # encryption/decryption process --------------------------
     for symbol in text:
          if symbol in abc:
               # 1st plugboard --------------------------
               if symbol in plugboard:
                    UpperCAmelCase_	   =       plugboard[symbol]

               # rotor ra --------------------------
               UpperCAmelCase_	   =       abc.index(snake_case_      ) + rotorposa
               UpperCAmelCase_	   =       rotora[index % len(snake_case_      )]

               # rotor rb --------------------------
               UpperCAmelCase_	   =       abc.index(snake_case_      ) + rotorposa
               UpperCAmelCase_	   =       rotora[index % len(snake_case_      )]

               # rotor rc --------------------------
               UpperCAmelCase_	   =       abc.index(snake_case_      ) + rotorposa
               UpperCAmelCase_	   =       rotora[index % len(snake_case_      )]

               # reflector --------------------------
               # this is the reason you don't need another machine to decipher

               UpperCAmelCase_	   =       reflector[symbol]

               # 2nd rotors
               UpperCAmelCase_	   =       abc[rotora.index(snake_case_      ) - rotorposa]
               UpperCAmelCase_	   =       abc[rotora.index(snake_case_      ) - rotorposa]
               UpperCAmelCase_	   =       abc[rotora.index(snake_case_      ) - rotorposa]

               # 2nd plugboard
               if symbol in plugboard:
                    UpperCAmelCase_	   =       plugboard[symbol]

               # moves/resets rotor positions
               rotorposa += 1
               if rotorposa >= len(snake_case_      ):
                    UpperCAmelCase_	   =       0
                    rotorposa += 1
               if rotorposa >= len(snake_case_      ):
                    UpperCAmelCase_	   =       0
                    rotorposa += 1
               if rotorposa >= len(snake_case_      ):
                    UpperCAmelCase_	   =       0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
          result.append(snake_case_      )

     return "".join(snake_case_      )


if __name__ == "__main__":
    SCREAMING_SNAKE_CASE_:					Optional[int]  ='This is my Python script that emulates the Enigma machine from WWII.'
    SCREAMING_SNAKE_CASE_:					Optional[Any]  =(1, 1, 1)
    SCREAMING_SNAKE_CASE_:					Union[str, Any]  ='pictures'
    SCREAMING_SNAKE_CASE_:					Optional[Any]  =(rotora, rotora, rotora)
    SCREAMING_SNAKE_CASE_:					Dict  =enigma(message, rotor_pos, rotor_sel, pb)

    print('Encrypted message:', en)
    print('Decrypted message:', enigma(en, rotor_pos, rotor_sel, pb))





'''simple docstring'''





import inspect
from typing import List, Optional, Tuple, Union

import torch

from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput




class 	__A				(			UpperCamelCase__     ):



    def __init__(self   :   Union[str, Any]       ,      __a   :   VQModel       ,      __a   :   UNetaDModel       ,      __a   :   DDIMScheduler			):
         super().__init__()
         self.register_modules(vqvae=__a       ,      unet=__a       ,      scheduler=__a			)






    @torch.no_grad()
    def __call__(self   :   str       ,      __a   :   int = 1       ,      __a   :   Optional[Union[torch.Generator, List[torch.Generator]]] = None       ,      __a   :   float = 0.0       ,      __a   :   int = 50       ,      __a   :   Optional[str] = "pil"       ,      __a   :   bool = True       ,      **__a   :   Optional[int]       ,      ):
         UpperCAmelCase_	   =       randn_tensor(
             (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)       ,      generator=__a       ,      )
         UpperCAmelCase_	   =       latents.to(self.device			)

         # scale the initial noise by the standard deviation required by the scheduler
         UpperCAmelCase_	   =       latents * self.scheduler.init_noise_sigma

         self.scheduler.set_timesteps(__a			)

         # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
         UpperCAmelCase_	   =       "eta" in set(inspect.signature(self.scheduler.step			).parameters.keys()			)

         UpperCAmelCase_	   =       {}
         if accepts_eta:
              UpperCAmelCase_	   =       eta

         for t in self.progress_bar(self.scheduler.timesteps			):
              UpperCAmelCase_	   =       self.scheduler.scale_model_input(__a       ,      __a			)
              # predict the noise residual
              UpperCAmelCase_	   =       self.unet(__a       ,      __a			).sample
              # compute the previous noisy sample x_t -> x_t-1
              UpperCAmelCase_	   =       self.scheduler.step(__a       ,      __a       ,      __a       ,      **__a			).prev_sample

         # decode the image latents with the VAE
         UpperCAmelCase_	   =       self.vqvae.decode(__a			).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(__a			)

         if not return_dict:
              return (image,)

         return ImagePipelineOutput(images=__a			)




