



'''simple docstring'''




import os
import sys

from . import rsa_key_generator as rkg

UpperCamelCase__	:     Any    =			1_28
UpperCamelCase__	:     Optional[int]    =			2_56


def     lowerCAmelCase_       (     _lowerCamelCase:       str	,				_lowerCamelCase:       int = DEFAULT_BLOCK_SIZE ):
		__SCREAMING_SNAKE_CASE	:		Tuple   	=		message.encode("""ascii""" )

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


def     lowerCAmelCase_       (     _lowerCamelCase:       str	,				_lowerCamelCase:       tuple[int, int]	,				_lowerCamelCase:       int = DEFAULT_BLOCK_SIZE ):
		__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		[]
		__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		key

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


def     lowerCAmelCase_       (     _lowerCamelCase:       list[int]	,				_lowerCamelCase:       int	,				_lowerCamelCase:       tuple[int, int]	,				_lowerCamelCase:       int = DEFAULT_BLOCK_SIZE	,				):
		__SCREAMING_SNAKE_CASE	:		Dict   	=		[]
		__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		key
		for block in encrypted_blocks:
				decrypted_blocks.append(pow(_lowerCamelCase	,				_lowerCamelCase	,				_lowerCamelCase ) )
		return get_text_from_blocks(_lowerCamelCase	,				_lowerCamelCase	,				_lowerCamelCase )


def     lowerCAmelCase_       (     _lowerCamelCase:       str ):
		with open(_lowerCamelCase ) as fo:
				__SCREAMING_SNAKE_CASE	:		Tuple   	=		fo.read()
		__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		int   	=		content.split(""",""" )
		return (int(_lowerCamelCase ), int(_lowerCamelCase ), int(_lowerCamelCase ))


def     lowerCAmelCase_       (     _lowerCamelCase:       str	,				_lowerCamelCase:       str	,				_lowerCamelCase:       str	,				_lowerCamelCase:       int = DEFAULT_BLOCK_SIZE	,				):
		__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Tuple   	=		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 ) )

		__SCREAMING_SNAKE_CASE	:		Dict   	=		[str(_lowerCamelCase ) for i in encrypt_message(_lowerCamelCase	,				(n, e)	,				_lowerCamelCase )]

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


def     lowerCAmelCase_       (     _lowerCamelCase:       str	,				_lowerCamelCase:       str ):
		__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Tuple   	=		read_key_file(_lowerCamelCase )
		with open(_lowerCamelCase ) as fo:
				__SCREAMING_SNAKE_CASE	:		Any   	=		fo.read()
		__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		content.split("""_""" )
		__SCREAMING_SNAKE_CASE	:		int   	=		int(_lowerCamelCase )
		__SCREAMING_SNAKE_CASE	:		int   	=		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 ) )

		__SCREAMING_SNAKE_CASE	:		Dict   	=		[]
		for block in encrypted_message.split(""",""" ):
				encrypted_blocks.append(int(_lowerCamelCase ) )

		return decrypt_message(_lowerCamelCase	,				_lowerCamelCase	,				(n, d)	,				_lowerCamelCase )


def     lowerCAmelCase_       (     ):
		__SCREAMING_SNAKE_CASE	:		Dict   	=		"""encrypted_file.txt"""
		__SCREAMING_SNAKE_CASE	:		Tuple   	=		input(r"""Encrypt\Decrypt [e\d]: """ )

		if response.lower().startswith("""e""" ):
				__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		"""encrypt"""
		elif response.lower().startswith("""d""" ):
				__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		"""decrypt"""

		if mode == "encrypt":
				if not os.path.exists("""rsa_pubkey.txt""" ):
						rkg.make_key_files("""rsa"""	,				10_24 )

				__SCREAMING_SNAKE_CASE	:		int   	=		input("""\nEnter message: """ )
				__SCREAMING_SNAKE_CASE	:		str   	=		"""rsa_pubkey.txt"""
				print(F"Encrypting and writing to {filename}..." )
				__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		encrypt_and_write_to_file(_lowerCamelCase	,				_lowerCamelCase	,				_lowerCamelCase )

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

		elif mode == "decrypt":
				__SCREAMING_SNAKE_CASE	:		List[str]   	=		"""rsa_privkey.txt"""
				print(F"Reading from {filename} and decrypting..." )
				__SCREAMING_SNAKE_CASE	:		List[str]   	=		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'''




import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			_A				:		int         =		['''image_processor''', '''tokenizer''']
			_A				:		Union[str, Any]         =		'''AutoImageProcessor'''
			_A				:		Optional[Any]         =		'''AutoTokenizer'''

			def __init__(							self					:			Tuple							,					lowerCAmelCase__					:			Tuple=None							,					lowerCAmelCase__					:			Union[str, Any]=None							,					**lowerCAmelCase__					:			Any						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Tuple   	=		None
					if "feature_extractor" in kwargs:
							warnings.warn(
							    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
							    """ instead."""							,					lowerCAmelCase__							,					)
							__SCREAMING_SNAKE_CASE	:		str   	=		kwargs.pop("""feature_extractor"""						)

					__SCREAMING_SNAKE_CASE	:		Any   	=		image_processor if image_processor is not None else feature_extractor
					if image_processor is None:
							raise ValueError("""You need to specify an `image_processor`."""						)
					if tokenizer is None:
							raise ValueError("""You need to specify a `tokenizer`."""						)

					super().__init__(lowerCAmelCase__							,					lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE	:		List[str]   	=		self.image_processor
					__SCREAMING_SNAKE_CASE	:		Dict   	=		False

			def __call__(							self					:			List[str]							,					*lowerCAmelCase__					:			List[str]							,					**lowerCAmelCase__					:			Dict						):





					"""simple docstring"""






					if self._in_target_context_manager:
							return self.current_processor(*lowerCAmelCase__							,					**lowerCAmelCase__						)

					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		kwargs.pop("""images"""							,					lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		kwargs.pop("""text"""							,					lowerCAmelCase__						)
					if len(lowerCAmelCase__						) > 0:
							__SCREAMING_SNAKE_CASE	:		Tuple   	=		args[0]
							__SCREAMING_SNAKE_CASE	:		int   	=		args[1:]

					if images is None and text is None:
							raise ValueError("""You need to specify either an `images` or `text` input to process."""						)

					if images is not None:
							__SCREAMING_SNAKE_CASE	:		List[str]   	=		self.image_processor(lowerCAmelCase__							,					*lowerCAmelCase__							,					**lowerCAmelCase__						)
					if text is not None:
							__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		self.tokenizer(lowerCAmelCase__							,					**lowerCAmelCase__						)

					if text is None:
							return inputs
					elif images is None:
							return encodings
					else:
							__SCREAMING_SNAKE_CASE	:		int   	=		encodings["""input_ids"""]
							return inputs

			def UpperCamelCase__ (							self					:			Any							,					*lowerCAmelCase__					:			Any							,					**lowerCAmelCase__					:			List[str]						):





					"""simple docstring"""






					return self.tokenizer.batch_decode(*lowerCAmelCase__							,					**lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			int							,					*lowerCAmelCase__					:			str							,					**lowerCAmelCase__					:			Dict						):





					"""simple docstring"""






					return self.tokenizer.decode(*lowerCAmelCase__							,					**lowerCAmelCase__						)

			@contextmanager
			def UpperCamelCase__ (							self					:			Union[str, Any]						):





					"""simple docstring"""






					warnings.warn(
					    """`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your """
					    """labels by using the argument `text` of the regular `__call__` method (either in the same call as """
					    """your images inputs, or in a separate call."""						)
					__SCREAMING_SNAKE_CASE	:		List[Any]   	=		True
					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		self.tokenizer
					yield
					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		self.image_processor
					__SCREAMING_SNAKE_CASE	:		List[str]   	=		False

			@property
			def UpperCamelCase__ (							self					:			Optional[Any]						):





					"""simple docstring"""






					warnings.warn(
					    """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""							,					lowerCAmelCase__							,					)
					return self.image_processor_class



			@property
			def UpperCamelCase__ (							self					:			List[Any]						):





					"""simple docstring"""






					warnings.warn(
					    """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""							,					lowerCAmelCase__							,					)
					return self.image_processor