



"""simple docstring"""






import os
import sys

from . import rsa_key_generator as rkg

_lowercase					:					List[Any] 		=		1_2_8
_lowercase					:					Union[str, Any] 		=		2_5_6






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[int]						      =message.encode('''ascii'''      )

			lowerCamelCase__						:						Dict						      =[]
			for block_start in range(0				,						len(__lowerCamelCase      )				,						__lowerCamelCase      ):
						lowerCamelCase__						:						List[Any]						      =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							:       list[int]				,						__lowerCamelCase							:       int				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						list[str]						      =[]
			for block_int in block_ints:
						lowerCamelCase__						:						list[str]						      =[]
						for i in range(block_size - 1				,						-1				,						-1      ):
									if len(__lowerCamelCase      ) + i < message_length:
												lowerCamelCase__						:						List[str]						      =block_int // (BYTE_SIZE**i)
												lowerCamelCase__						:						Optional[Any]						      =block_int % (BYTE_SIZE**i)
												block_message.insert(0				,						chr(__lowerCamelCase      )      )
						message.extend(__lowerCamelCase      )
			return "".join(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       tuple[int, int]				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE      ):
			"""simple docstring"""
			lowerCamelCase__						:						List[str]						      =[]
			lowerCamelCase__      ,  lowerCamelCase__						:						Union[str, Any]						      =key

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






def 	snake_case__  (						__lowerCamelCase							:       list[int]				,						__lowerCamelCase							:       int				,						__lowerCamelCase							:       tuple[int, int]				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE				,						):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[Any]						      =[]
			lowerCamelCase__      ,  lowerCamelCase__						:						Dict						      =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							:       str      ):
			"""simple docstring"""
			with open(__lowerCamelCase      ) as fo:
						lowerCamelCase__						:						List[str]						      =fo.read()
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						Dict						      =content.split(''','''      )
			return (int(__lowerCamelCase      ), int(__lowerCamelCase      ), int(__lowerCamelCase      ))






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       int = DEFAULT_BLOCK_SIZE				,						):
			"""simple docstring"""
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						str						      =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      )      )

			lowerCamelCase__						:						str						      =[str(__lowerCamelCase      ) for i in encrypt_message(__lowerCamelCase				,						(n, e)				,						__lowerCamelCase      )]

			lowerCamelCase__						:						Tuple						      =''','''.join(__lowerCamelCase      )
			lowerCamelCase__						:						Union[str, Any]						      =f'''{len(__lowerCamelCase      )}_{block_size}_{encrypted_content}'''
			with open(__lowerCamelCase				,						'''w'''      ) as fo:
						fo.write(__lowerCamelCase      )
			return encrypted_content






def 	snake_case__  (						__lowerCamelCase							:       str				,						__lowerCamelCase							:       str      ):
			"""simple docstring"""
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						Tuple						      =read_key_file(__lowerCamelCase      )
			with open(__lowerCamelCase      ) as fo:
						lowerCamelCase__						:						Dict						      =fo.read()
			lowerCamelCase__      ,  lowerCamelCase__      ,  lowerCamelCase__						:						int						      =content.split('''_'''      )
			lowerCamelCase__						:						Dict						      =int(__lowerCamelCase      )
			lowerCamelCase__						:						List[str]						      =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      )      )

			lowerCamelCase__						:						Optional[int]						      =[]
			for block in encrypted_message.split(''','''      ):
						encrypted_blocks.append(int(__lowerCamelCase      )      )

			return decrypt_message(__lowerCamelCase				,						__lowerCamelCase				,						(n, d)				,						__lowerCamelCase      )






def 	snake_case__  (						):
			"""simple docstring"""
			lowerCamelCase__						:						Optional[Any]						      ='''encrypted_file.txt'''
			lowerCamelCase__						:						List[Any]						      =input(R'''Encrypt\Decrypt [e\d]: '''      )

			if response.lower().startswith('''e'''      ):
						lowerCamelCase__						:						Any						      ='''encrypt'''
			elif response.lower().startswith('''d'''      ):
						lowerCamelCase__						:						Dict						      ='''decrypt'''

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

						lowerCamelCase__						:						Tuple						      =input('''\nEnter message: '''      )
						lowerCamelCase__						:						List[str]						      ='''rsa_pubkey.txt'''
						print(f'''Encrypting and writing to {filename}...'''      )
						lowerCamelCase__						:						List[Any]						      =encrypt_and_write_to_file(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )

						print('''\nEncrypted text:'''      )
						print(__lowerCamelCase      )

			elif mode == "decrypt":
						lowerCamelCase__						:						int						      ='''rsa_privkey.txt'''
						print(f'''Reading from {filename} and decrypting...'''      )
						lowerCamelCase__						:						Dict						      =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()





import torch

from accelerate import Accelerator, DistributedType




class 						__snake_case						:





      '''simple docstring'''






      def __enter__(       self  :					Union[str, Any])					->Dict:


          """simple docstring"""


          if self.enabled:
              _lowerCamelCase  :		str			    =    self.model.no_sync()
              self.model_sync_obj.__enter__()

          return self



      def __exit__(       self  :					List[str]     ,	_UpperCamelCase  :					Any     ,	_UpperCamelCase  :					Union[str, Any]     ,	_UpperCamelCase  :					int)					->Optional[Any]:


          """simple docstring"""


          if self.enabled:
              # Average all models on exit
              self._sync_and_avg_model_params()
              self.model_sync_obj.__exit__(_UpperCamelCase     ,	_UpperCamelCase     ,	_UpperCamelCase)



      def __init__(       self  :					Union[str, Any]     ,	_UpperCamelCase  :					Accelerator     ,	_UpperCamelCase  :					torch.nn.Module     ,	_UpperCamelCase  :					int     ,	_UpperCamelCase  :					bool = True)					->int:


          """simple docstring"""


          if accelerator.distributed_type not in [
              DistributedType.NO,
              DistributedType.MULTI_CPU,
              DistributedType.MULTI_GPU,
          ]:
              raise NotImplementedError("""LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)""")
          _lowerCamelCase  :		str			    =    enabled and accelerator.distributed_type != DistributedType.NO
          _lowerCamelCase  :		Optional[int]			    =    0
          if self.enabled:
              _lowerCamelCase  :		Union[str, Any]			    =    accelerator
              _lowerCamelCase  :		int			    =    model
              _lowerCamelCase  :		int			    =    local_sgd_steps



      def 						_SCREAMING_SNAKE_CASE     (       self  :					Union[str, Any])					->Union[str, Any]:


          """simple docstring"""


          self.num_steps += 1
          if not self.enabled:
              return

          if self.num_steps % self.local_sgd_steps == 0:
              self._sync_and_avg_model_params()




      def 						_SCREAMING_SNAKE_CASE     (       self  :					Optional[Any])					->List[str]:


          """simple docstring"""


          self.accelerator.wait_for_everyone()
          with self.accelerator.autocast():
              for param in self.model.parameters():
                  _lowerCamelCase  :		Union[str, Any]			    =    self.accelerator.reduce(param.data     ,	reduction="""mean""")




