



'''simple docstring'''






import os
import sys

from . import rsa_key_generator as rkg

A_							:				Optional[Any]						=			1_2_8
A_							:				List[str]						=			2_5_6




def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_ = DEFAULT_BLOCK_SIZE	)->	list[int]:





       '''simple docstring'''


       _UpperCAmelCase						:		Optional[Any]      =				message.encode("""ascii"""	)

       _UpperCAmelCase						:		str      =				[]
       for block_start in range(0 ,     len(lowerCAmelCase_	) ,     lowerCAmelCase_	):
              _UpperCAmelCase						:		int      =				0
              for i in range(lowerCAmelCase_ ,     min(block_start + block_size ,     len(lowerCAmelCase_	)	)	):
                     block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
              block_ints.append(lowerCAmelCase_	)
       return block_ints




def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_ = DEFAULT_BLOCK_SIZE	)->	str:





       '''simple docstring'''


       _UpperCAmelCase						:		list[str]      =				[]
       for block_int in block_ints:
              _UpperCAmelCase						:		list[str]      =				[]
              for i in range(block_size - 1 ,     -1 ,     -1	):
                     if len(lowerCAmelCase_	) + i < message_length:
                            _UpperCAmelCase						:		str      =				block_int // (BYTE_SIZE**i)
                            _UpperCAmelCase						:		List[Any]      =				block_int % (BYTE_SIZE**i)
                            block_message.insert(0 ,     chr(lowerCAmelCase_	)	)
              message.extend(lowerCAmelCase_	)
       return "".join(lowerCAmelCase_	)




def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_ = DEFAULT_BLOCK_SIZE	)->	list[int]:





       '''simple docstring'''


       _UpperCAmelCase						:		Union[str, Any]      =				[]
       _UpperCAmelCase  ,_UpperCAmelCase						:		Optional[int]      =				key

       for block in get_blocks_from_text(lowerCAmelCase_ ,     lowerCAmelCase_	):
              encrypted_blocks.append(pow(lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_	)	)
       return encrypted_blocks




def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_ = DEFAULT_BLOCK_SIZE ,     )->	str:





       '''simple docstring'''


       _UpperCAmelCase						:		Any      =				[]
       _UpperCAmelCase  ,_UpperCAmelCase						:		Optional[int]      =				key
       for block in encrypted_blocks:
              decrypted_blocks.append(pow(lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_	)	)
       return get_text_from_blocks(lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_	)




def 					snake_case_      (  lowerCAmelCase_	)->	tuple[int, int, int]:





       '''simple docstring'''


       with open(lowerCAmelCase_	) as fo:
              _UpperCAmelCase						:		Union[str, Any]      =				fo.read()
       _UpperCAmelCase  ,_UpperCAmelCase  ,_UpperCAmelCase						:		Optional[Any]      =				content.split(""","""	)
       return (int(lowerCAmelCase_	), int(lowerCAmelCase_	), int(lowerCAmelCase_	))




def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_ = DEFAULT_BLOCK_SIZE ,     )->	str:





       '''simple docstring'''


       _UpperCAmelCase  ,_UpperCAmelCase  ,_UpperCAmelCase						:		Optional[int]      =				read_key_file(lowerCAmelCase_	)
       if key_size < block_size * 8:
              sys.exit(
                  """ERROR: Block size is {} bits and key size is {} bits. The RSA cipher """
                  """requires the block size to be equal to or greater than the key size. """
                  """Either decrease the block size or use different keys.""".format(
                      block_size * 8 ,     lowerCAmelCase_	)	)

       _UpperCAmelCase						:		int      =				[str(lowerCAmelCase_	) for i in encrypt_message(lowerCAmelCase_ ,     (n, e) ,     lowerCAmelCase_	)]

       _UpperCAmelCase						:		Optional[int]      =				""",""".join(lowerCAmelCase_	)
       _UpperCAmelCase						:		List[Any]      =				F'''{len(lowerCAmelCase_	)}_{block_size}_{encrypted_content}'''
       with open(lowerCAmelCase_ ,     """w"""	) as fo:
              fo.write(lowerCAmelCase_	)
       return encrypted_content




def 					snake_case_      (  lowerCAmelCase_ ,     lowerCAmelCase_	)->	str:





       '''simple docstring'''


       _UpperCAmelCase  ,_UpperCAmelCase  ,_UpperCAmelCase						:		Optional[int]      =				read_key_file(lowerCAmelCase_	)
       with open(lowerCAmelCase_	) as fo:
              _UpperCAmelCase						:		Tuple      =				fo.read()
       _UpperCAmelCase  ,_UpperCAmelCase  ,_UpperCAmelCase						:		Optional[Any]      =				content.split("""_"""	)
       _UpperCAmelCase						:		Tuple      =				int(lowerCAmelCase_	)
       _UpperCAmelCase						:		Optional[Any]      =				int(lowerCAmelCase_	)

       if key_size < block_size * 8:
              sys.exit(
                  """ERROR: Block size is {} bits and key size is {} bits. The RSA cipher """
                  """requires the block size to be equal to or greater than the key size. """
                  """Did you specify the correct key file and encrypted file?""".format(
                      block_size * 8 ,     lowerCAmelCase_	)	)

       _UpperCAmelCase						:		Union[str, Any]      =				[]
       for block in encrypted_message.split(""","""	):
              encrypted_blocks.append(int(lowerCAmelCase_	)	)

       return decrypt_message(lowerCAmelCase_ ,     lowerCAmelCase_ ,     (n, d) ,     lowerCAmelCase_	)




def 					snake_case_      (  )->	None:





       '''simple docstring'''


       _UpperCAmelCase						:		Optional[int]      =				"""encrypted_file.txt"""
       _UpperCAmelCase						:		List[str]      =				input(R"""Encrypt\Decrypt [e\d]: """	)

       if response.lower().startswith("""e"""	):
              _UpperCAmelCase						:		Union[str, Any]      =				"""encrypt"""
       elif response.lower().startswith("""d"""	):
              _UpperCAmelCase						:		Union[str, Any]      =				"""decrypt"""

       if mode == "encrypt":
              if not os.path.exists("""rsa_pubkey.txt"""	):
                     rkg.make_key_files("""rsa""" ,     1024	)

              _UpperCAmelCase						:		Dict      =				input("""\nEnter message: """	)
              _UpperCAmelCase						:		List[Any]      =				"""rsa_pubkey.txt"""
              print(F'''Encrypting and writing to {filename}...'''	)
              _UpperCAmelCase						:		Tuple      =				encrypt_and_write_to_file(lowerCAmelCase_ ,     lowerCAmelCase_ ,     lowerCAmelCase_	)

              print("""\nEncrypted text:"""	)
              print(lowerCAmelCase_	)

       elif mode == "decrypt":
              _UpperCAmelCase						:		List[str]      =				"""rsa_privkey.txt"""
              print(F'''Reading from {filename} and decrypting...'''	)
              _UpperCAmelCase						:		Optional[Any]      =				read_from_file_and_decrypt(lowerCAmelCase_ ,     lowerCAmelCase_	)
              print("""writing decryption to rsa_decryption.txt..."""	)
              with open("""rsa_decryption.txt""" ,     """w"""	) as dec:
                     dec.write(lowerCAmelCase_	)

              print("""\nDecryption:"""	)
              print(lowerCAmelCase_	)


if __name__ == "__main__":
   main()








'''simple docstring'''






from typing import Any, Callable, Dict, List, Optional, Union

import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer

from diffusers import (
    AutoencoderKL,
    DDIMScheduler,
    DiffusionPipeline,
    LMSDiscreteScheduler,
    PNDMScheduler,
    StableDiffusionImgaImgPipeline,
    StableDiffusionInpaintPipelineLegacy,
    StableDiffusionPipeline,
    UNetaDConditionModel,
)
from diffusers.configuration_utils import FrozenDict
from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
from diffusers.utils import deprecate, logging


A_							:				List[str]						=			logging.get_logger(__name__)  # pylint: disable=invalid-name



class 							lowercase (						_lowerCamelCase       ):


 """simple docstring"""


 UpperCAmelCase					=						["""safety_checker""", """feature_extractor"""]







 def __init__(							self						,a_						,a_						,a_						,a_						,a_						,a_						,a_						,a_ = True						,)	->     int:
        super().__init__()
        if hasattr(scheduler.config						,"""steps_offset"""							) and scheduler.config.steps_offset != 1:
               _UpperCAmelCase						:		Tuple      =				(
                   f'''The configuration file of this scheduler: {scheduler} is outdated. `steps_offset`'''
                   f''' should be set to 1 instead of {scheduler.config.steps_offset}. Please make sure '''
                   """to update the config accordingly as leaving `steps_offset` might led to incorrect results"""
                   """ in future versions. If you have downloaded this checkpoint from the Hugging Face Hub,"""
                   """ it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json`"""
                   """ file"""
               )
               deprecate("""steps_offset!=1"""						,"""1.0.0"""						,a_						,standard_warn=a_							)
               _UpperCAmelCase						:		Any      =				dict(scheduler.config							)
               _UpperCAmelCase						:		str      =				1
               _UpperCAmelCase						:		Any      =				FrozenDict(a_							)

        self.register_modules(
            vae=a_						,text_encoder=a_						,tokenizer=a_						,unet=a_						,scheduler=a_						,safety_checker=a_						,feature_extractor=a_						,)
        self.register_to_config(requires_safety_checker=a_							)







 @property
 def _snake_case				(							self							)	->     Dict[str, Any]:
        return {k: getattr(self						,a_							) for k in self.config.keys() if not k.startswith("""_"""							)}







 def _snake_case				(							self						,a_ = "auto"							)	->     Union[str, Any]:
        if slice_size == "auto":
               # half the attention head size is usually a good trade-off between
               # speed and memory
               _UpperCAmelCase						:		Optional[int]      =				self.unet.config.attention_head_dim // 2
        self.unet.set_attention_slice(a_							)







 def _snake_case				(							self							)	->     Tuple:
        self.enable_attention_slicing(a_							)







 @torch.no_grad()
 def _snake_case				(							self						,a_						,a_						,a_						,a_ = 0.8						,a_ = 50						,a_ = 7.5						,a_ = None						,a_ = 1						,a_ = 0.0						,a_ = None						,a_ = "pil"						,a_ = True						,a_ = None						,a_ = 1						,)	->     List[Any]:
        # For more information on how this function works, please see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionImg2ImgPipeline
        return StableDiffusionInpaintPipelineLegacy(**self.components							)(
            prompt=a_						,image=a_						,mask_image=a_						,strength=a_						,num_inference_steps=a_						,guidance_scale=a_						,negative_prompt=a_						,num_images_per_prompt=a_						,eta=a_						,generator=a_						,output_type=a_						,return_dict=a_						,callback=a_						,)







 @torch.no_grad()
 def _snake_case				(							self						,a_						,a_						,a_ = 0.8						,a_ = 50						,a_ = 7.5						,a_ = None						,a_ = 1						,a_ = 0.0						,a_ = None						,a_ = "pil"						,a_ = True						,a_ = None						,a_ = 1						,**a_						,)	->     Tuple:
        # For more information on how this function works, please see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionImg2ImgPipeline
        return StableDiffusionImgaImgPipeline(**self.components							)(
            prompt=a_						,image=a_						,strength=a_						,num_inference_steps=a_						,guidance_scale=a_						,negative_prompt=a_						,num_images_per_prompt=a_						,eta=a_						,generator=a_						,output_type=a_						,return_dict=a_						,callback=a_						,callback_steps=a_						,)







 @torch.no_grad()
 def _snake_case				(							self						,a_						,a_ = 512						,a_ = 512						,a_ = 50						,a_ = 7.5						,a_ = None						,a_ = 1						,a_ = 0.0						,a_ = None						,a_ = None						,a_ = "pil"						,a_ = True						,a_ = None						,a_ = 1						,)	->     List[str]:
        # For more information on how this function https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion#diffusers.StableDiffusionPipeline
        return StableDiffusionPipeline(**self.components							)(
            prompt=a_						,height=a_						,width=a_						,num_inference_steps=a_						,guidance_scale=a_						,negative_prompt=a_						,num_images_per_prompt=a_						,eta=a_						,generator=a_						,latents=a_						,output_type=a_						,return_dict=a_						,callback=a_						,callback_steps=a_						,)



