





'''simple docstring'''




import os
import sys

from . import rsa_key_generator as rkg

a__				: Optional[int]									=    128
a__				: Dict									=    256




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_ = DEFAULT_BLOCK_SIZE       )      ->list[int]:
	snake_case__  					=      message.encode('ascii'       )

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




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_ = DEFAULT_BLOCK_SIZE       )      ->str:
	snake_case__  					=      []
	for block_int in block_ints:
		snake_case__  					=      []
		for i in range(block_size - 1				,							-1				,							-1       ):
			if len(UpperCAmelCase_       ) + i < message_length:
				snake_case__  					=      block_int // (BYTE_SIZE**i)
				snake_case__  					=      block_int % (BYTE_SIZE**i)
				block_message.insert(0				,							chr(UpperCAmelCase_       )       )
		message.extend(UpperCAmelCase_       )
	return "".join(UpperCAmelCase_       )




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_ = DEFAULT_BLOCK_SIZE       )      ->list[int]:
	snake_case__  					=      []
	snake_case__					,     snake_case__  					=      key

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




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_ = DEFAULT_BLOCK_SIZE				,							)      ->str:
	snake_case__  					=      []
	snake_case__					,     snake_case__  					=      key
	for block in encrypted_blocks:
		decrypted_blocks.append(pow(UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       )       )
	return get_text_from_blocks(UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       )




def 	__lowerCamelCase (  UpperCAmelCase_       )      ->tuple[int, int, int]:
	with open(UpperCAmelCase_       ) as fo:
		snake_case__  					=      fo.read()
	snake_case__					,     snake_case__					,     snake_case__  					=      content.split(','       )
	return (int(UpperCAmelCase_       ), int(UpperCAmelCase_       ), int(UpperCAmelCase_       ))




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_ = DEFAULT_BLOCK_SIZE				,							)      ->str:
	snake_case__					,     snake_case__					,     snake_case__  					=      read_key_file(UpperCAmelCase_       )
	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				,							UpperCAmelCase_       )       )

	snake_case__  					=      [str(UpperCAmelCase_       ) for i in encrypt_message(UpperCAmelCase_				,							(n, e)				,							UpperCAmelCase_       )]

	snake_case__  					=      ','.join(UpperCAmelCase_       )
	snake_case__  					=      f'''{len(UpperCAmelCase_       )}_{block_size}_{encrypted_content}'''
	with open(UpperCAmelCase_				,							'w'       ) as fo:
		fo.write(UpperCAmelCase_       )
	return encrypted_content




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_       )      ->str:
	snake_case__					,     snake_case__					,     snake_case__  					=      read_key_file(UpperCAmelCase_       )
	with open(UpperCAmelCase_       ) as fo:
		snake_case__  					=      fo.read()
	snake_case__					,     snake_case__					,     snake_case__  					=      content.split('_'       )
	snake_case__  					=      int(UpperCAmelCase_       )
	snake_case__  					=      int(UpperCAmelCase_       )

	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				,							UpperCAmelCase_       )       )

	snake_case__  					=      []
	for block in encrypted_message.split(','       ):
		encrypted_blocks.append(int(UpperCAmelCase_       )       )

	return decrypt_message(UpperCAmelCase_				,							UpperCAmelCase_				,							(n, d)				,							UpperCAmelCase_       )




def 	__lowerCamelCase (  )      ->None:
	snake_case__  					=      'encrypted_file.txt'
	snake_case__  					=      input(R'Encrypt\Decrypt [e\d]: '       )

	if response.lower().startswith('e'       ):
		snake_case__  					=      'encrypt'
	elif response.lower().startswith('d'       ):
		snake_case__  					=      'decrypt'

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

		snake_case__  					=      input('\nEnter message: '       )
		snake_case__  					=      'rsa_pubkey.txt'
		print(f'''Encrypting and writing to {filename}...'''       )
		snake_case__  					=      encrypt_and_write_to_file(UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       )

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

	elif mode == "decrypt":
		snake_case__  					=      'rsa_privkey.txt'
		print(f'''Reading from {filename} and decrypting...'''       )
		snake_case__  					=      read_from_file_and_decrypt(UpperCAmelCase_				,							UpperCAmelCase_       )
		print('writing decryption to rsa_decryption.txt...'       )
		with open('rsa_decryption.txt'				,							'w'       ) as dec:
			dec.write(UpperCAmelCase_       )

		print('\nDecryption:'       )
		print(UpperCAmelCase_       )


if __name__ == "__main__":
			main()










'''simple docstring'''




import json
import os
import random
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
			from PIL import Image

			from transformers import FlavaImageProcessor, FlavaProcessor
			from transformers.models.flava.image_processing_flava import (
			    FLAVA_CODEBOOK_MEAN,
			    FLAVA_CODEBOOK_STD,
			    FLAVA_IMAGE_MEAN,
			    FLAVA_IMAGE_STD,
			)






@require_vision
class 							__snake_case    (				unittest.TestCase       ):





	def      _snake_case      (		self		)			->		Optional[Any]:
		snake_case__  					=      tempfile.mkdtemp()

		# fmt: off
		snake_case__  					=      ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing', ',', 'low', 'lowest']
		# fmt: on
		snake_case__  					=      os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['vocab_file']		)

		with open(self.vocab_file			,					'w'			,					encoding='utf-8'		) as fp:
			fp.write(''.join([x + '\n' for x in vocab_tokens]		)		)

		snake_case__  					=      {
		    'image_mean': FLAVA_IMAGE_MEAN,
		    'image_std': FLAVA_IMAGE_STD,
		    'do_normalize': True,
		    'do_resize': True,
		    'size': 224,
		    'do_center_crop': True,
		    'crop_size': 224,
		    'input_size_patches': 14,
		    'total_mask_patches': 75,
		    'mask_group_max_patches': None,
		    'mask_group_min_patches': 16,
		    'mask_group_min_aspect_ratio': 0.3,
		    'mask_group_max_aspect_ratio': None,
		    'codebook_do_resize': True,
		    'codebook_size': 112,
		    'codebook_do_center_crop': True,
		    'codebook_crop_size': 112,
		    'codebook_do_map_pixels': True,
		    'codebook_do_normalize': True,
		    'codebook_image_mean': FLAVA_CODEBOOK_MEAN,
		    'codebook_image_std': FLAVA_CODEBOOK_STD,
		}

		snake_case__  					=      os.path.join(self.tmpdirname			,					UpperCamelCase_		)
		with open(self.image_processor_file			,					'w'			,					encoding='utf-8'		) as fp:
			json.dump(UpperCamelCase_			,					UpperCamelCase_		)





	def      _snake_case      (		self			,					**UpperCamelCase_		)			->		List[str]:
		return BertTokenizer.from_pretrained(self.tmpdirname			,					**UpperCamelCase_		)





	def      _snake_case      (		self			,					**UpperCamelCase_		)			->		Optional[Any]:
		return BertTokenizerFast.from_pretrained(self.tmpdirname			,					**UpperCamelCase_		)





	def      _snake_case      (		self			,					**UpperCamelCase_		)			->		Any:
		return FlavaImageProcessor.from_pretrained(self.tmpdirname			,					**UpperCamelCase_		)





	def      _snake_case      (		self		)			->		Union[str, Any]:
		shutil.rmtree(self.tmpdirname		)





	def      _snake_case      (		self		)			->		List[str]:
		snake_case__  					=      [np.random.randint(255			,					size=(3, 30, 400)			,					dtype=np.uinta		)]

		snake_case__  					=      [Image.fromarray(np.moveaxis(UpperCamelCase_			,					0			,					-1		)		) for x in image_inputs]

		return image_inputs





	def      _snake_case      (		self		)			->		Optional[int]:
		snake_case__  					=      self.get_tokenizer()
		snake_case__  					=      self.get_rust_tokenizer()
		snake_case__  					=      self.get_image_processor()

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)
		processor_slow.save_pretrained(self.tmpdirname		)
		snake_case__  					=      FlavaProcessor.from_pretrained(self.tmpdirname			,					use_fast=UpperCamelCase_		)

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)
		processor_fast.save_pretrained(self.tmpdirname		)
		snake_case__  					=      FlavaProcessor.from_pretrained(self.tmpdirname		)

		self.assertEqual(processor_slow.tokenizer.get_vocab()			,					tokenizer_slow.get_vocab()		)
		self.assertEqual(processor_fast.tokenizer.get_vocab()			,					tokenizer_fast.get_vocab()		)
		self.assertEqual(tokenizer_slow.get_vocab()			,					tokenizer_fast.get_vocab()		)
		self.assertIsInstance(processor_slow.tokenizer			,					UpperCamelCase_		)
		self.assertIsInstance(processor_fast.tokenizer			,					UpperCamelCase_		)

		self.assertEqual(processor_slow.image_processor.to_json_string()			,					image_processor.to_json_string()		)
		self.assertEqual(processor_fast.image_processor.to_json_string()			,					image_processor.to_json_string()		)
		self.assertIsInstance(processor_slow.image_processor			,					UpperCamelCase_		)
		self.assertIsInstance(processor_fast.image_processor			,					UpperCamelCase_		)





	def      _snake_case      (		self		)			->		List[str]:
		snake_case__  					=      FlavaProcessor(tokenizer=self.get_tokenizer()			,					image_processor=self.get_image_processor()		)
		processor.save_pretrained(self.tmpdirname		)

		snake_case__  					=      self.get_tokenizer(bos_token='(BOS)'			,					eos_token='(EOS)'		)
		snake_case__  					=      self.get_image_processor(do_normalize=UpperCamelCase_			,					padding_value=1.0		)

		snake_case__  					=      FlavaProcessor.from_pretrained(
		    self.tmpdirname			,					bos_token='(BOS)'			,					eos_token='(EOS)'			,					do_normalize=UpperCamelCase_			,					padding_value=1.0		)

		self.assertEqual(processor.tokenizer.get_vocab()			,					tokenizer_add_kwargs.get_vocab()		)
		self.assertIsInstance(processor.tokenizer			,					UpperCamelCase_		)

		self.assertEqual(processor.image_processor.to_json_string()			,					image_processor_add_kwargs.to_json_string()		)
		self.assertIsInstance(processor.image_processor			,					UpperCamelCase_		)





	def      _snake_case      (		self		)			->		Union[str, Any]:
		snake_case__  					=      self.get_image_processor()
		snake_case__  					=      self.get_tokenizer()

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)

		snake_case__  					=      self.prepare_image_inputs()

		snake_case__  					=      image_processor(UpperCamelCase_			,					return_tensors='np'		)
		snake_case__  					=      processor(images=UpperCamelCase_			,					return_tensors='np'		)

		for key in input_feat_extract.keys():
			self.assertAlmostEqual(input_feat_extract[key].sum()			,					input_processor[key].sum()			,					delta=1E-2		)

		# With rest of the args
		random.seed(1234		)
		snake_case__  					=      image_processor(
		    UpperCamelCase_			,					return_image_mask=UpperCamelCase_			,					return_codebook_pixels=UpperCamelCase_			,					return_tensors='np'		)
		random.seed(1234		)
		snake_case__  					=      processor(
		    images=UpperCamelCase_			,					return_image_mask=UpperCamelCase_			,					return_codebook_pixels=UpperCamelCase_			,					return_tensors='np'		)

		for key in input_feat_extract.keys():
			self.assertAlmostEqual(input_feat_extract[key].sum()			,					input_processor[key].sum()			,					delta=1E-2		)





	def      _snake_case      (		self		)			->		Dict:
		snake_case__  					=      self.get_image_processor()
		snake_case__  					=      self.get_tokenizer()

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)

		snake_case__  					=      'lower newer'

		snake_case__  					=      processor(text=UpperCamelCase_		)

		snake_case__  					=      tokenizer(UpperCamelCase_		)

		for key in encoded_tok.keys():
			self.assertListEqual(encoded_tok[key]			,					encoded_processor[key]		)





	def      _snake_case      (		self		)			->		Union[str, Any]:
		snake_case__  					=      self.get_image_processor()
		snake_case__  					=      self.get_tokenizer()

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)

		snake_case__  					=      'lower newer'
		snake_case__  					=      self.prepare_image_inputs()

		snake_case__  					=      processor(text=UpperCamelCase_			,					images=UpperCamelCase_		)

		self.assertListEqual(list(inputs.keys()		)			,					['input_ids', 'token_type_ids', 'attention_mask', 'pixel_values']		)

		# add extra args
		snake_case__  					=      processor(text=UpperCamelCase_			,					images=UpperCamelCase_			,					return_codebook_pixels=UpperCamelCase_			,					return_image_mask=UpperCamelCase_		)

		self.assertListEqual(
		    list(inputs.keys()		)			,					[
		        'input_ids',
		        'token_type_ids',
		        'attention_mask',
		        'pixel_values',
		        'codebook_pixel_values',
		        'bool_masked_pos',
		    ]			,					)

		# test if it raises when no input is passed
		with pytest.raises(UpperCamelCase_		):
			processor()





	def      _snake_case      (		self		)			->		List[Any]:
		snake_case__  					=      self.get_image_processor()
		snake_case__  					=      self.get_tokenizer()

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)

		snake_case__  					=      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

		snake_case__  					=      processor.batch_decode(UpperCamelCase_		)
		snake_case__  					=      tokenizer.batch_decode(UpperCamelCase_		)

		self.assertListEqual(UpperCamelCase_			,					UpperCamelCase_		)





	def      _snake_case      (		self		)			->		Dict:
		snake_case__  					=      self.get_image_processor()
		snake_case__  					=      self.get_tokenizer()

		snake_case__  					=      FlavaProcessor(tokenizer=UpperCamelCase_			,					image_processor=UpperCamelCase_		)

		snake_case__  					=      'lower newer'
		snake_case__  					=      self.prepare_image_inputs()

		snake_case__  					=      processor(text=UpperCamelCase_			,					images=UpperCamelCase_		)

		self.assertListEqual(list(inputs.keys()		)			,					processor.model_input_names		)



