


"""simple docstring"""






import os
import sys

from . import rsa_key_generator as rkg

SCREAMING_SNAKE_CASE__				:  str						= 128
SCREAMING_SNAKE_CASE__				:  List[str]						= 256




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__ = DEFAULT_BLOCK_SIZE				)     ->     list[int]:
   a   :	Union[str, Any]						=    message.encode('ascii'				)

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




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__ = DEFAULT_BLOCK_SIZE				)     ->     list[int]:
   a   :	Union[str, Any]						=    []
   a	, a   :	List[str]						=    key

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




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__ = DEFAULT_BLOCK_SIZE       ,   )     ->     str:
   a   :	Optional[Any]						=    []
   a	, a   :	str						=    key
   for block in encrypted_blocks:
      decrypted_blocks.append(pow(UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__				)				)
   return get_text_from_blocks(UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__				)




def        A_					(					UpperCAmelCase__				)     ->     tuple[int, int, int]:
   with open(UpperCAmelCase__				) as fo:
      a   :	int						=    fo.read()
   a	, a	, a   :	int						=    content.split(','				)
   return (int(UpperCAmelCase__				), int(UpperCAmelCase__				), int(UpperCAmelCase__				))




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__ = DEFAULT_BLOCK_SIZE       ,   )     ->     str:
   a	, a	, a   :	Dict						=    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__				)				)

   a   :	Tuple						=    [str(UpperCAmelCase__				) for i in encrypt_message(UpperCAmelCase__       ,   (n, e)       ,   UpperCAmelCase__				)]

   a   :	Tuple						=    ','.join(UpperCAmelCase__				)
   a   :	Dict						=    F'{len(UpperCAmelCase__				)}_{block_size}_{encrypted_content}'
   with open(UpperCAmelCase__       ,   'w'				) as fo:
      fo.write(UpperCAmelCase__				)
   return encrypted_content




def        A_					(					UpperCAmelCase__       ,   UpperCAmelCase__				)     ->     str:
   a	, a	, a   :	List[Any]						=    read_key_file(UpperCAmelCase__				)
   with open(UpperCAmelCase__				) as fo:
      a   :	int						=    fo.read()
   a	, a	, a   :	List[Any]						=    content.split('_'				)
   a   :	Tuple						=    int(UpperCAmelCase__				)
   a   :	Optional[Any]						=    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__				)				)

   a   :	Union[str, Any]						=    []
   for block in encrypted_message.split(','				):
      encrypted_blocks.append(int(UpperCAmelCase__				)				)

   return decrypt_message(UpperCAmelCase__       ,   UpperCAmelCase__       ,   (n, d)       ,   UpperCAmelCase__				)




def        A_					(					)     ->     None:
   a   :	List[str]						=    'encrypted_file.txt'
   a   :	Optional[Any]						=    input(r'Encrypt\Decrypt [e\d]: '				)

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

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

      a   :	int						=    input('\nEnter message: '				)
      a   :	Tuple						=    'rsa_pubkey.txt'
      print(F'Encrypting and writing to {filename}...'				)
      a   :	List[str]						=    encrypt_and_write_to_file(UpperCAmelCase__       ,   UpperCAmelCase__       ,   UpperCAmelCase__				)

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

   elif mode == "decrypt":
      a   :	int						=    'rsa_privkey.txt'
      print(F'Reading from {filename} and decrypting...'				)
      a   :	List[str]						=    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 re
import tempfile
import unittest
from pathlib import Path

from datasets.utils.metadata import DatasetMetadata




def        A_					(					UpperCAmelCase__				)     ->     str:
   a   :	Optional[int]						=    min(re.search('^ +'       ,   UpperCAmelCase__				).end() if t.startswith(' '				) else 0 for t in string.splitlines()				)
   return "\n".join([line[indent_level:] for line in string.splitlines() if indent_level < len(UpperCAmelCase__				)]				)


SCREAMING_SNAKE_CASE__				:  Union[str, Any]						= "\\n---\nlanguage:\n- zh\n- en\ntask_ids:\n- sentiment-classification\n---\n# Begin of markdown\n\nSome cool dataset card\n"

SCREAMING_SNAKE_CASE__				:  List[str]						= "\\n---\n---\n# Begin of markdown\n\nSome cool dataset card\n"


SCREAMING_SNAKE_CASE__				:  Dict						= "\\n# Begin of markdown\n\nSome cool dataset card\n"


class 	A_       (     unittest.TestCase   ):





  """simple docstring"""

  def 							lowercase_     (						self						)				->					Any:
     with tempfile.TemporaryDirectory() as tmp_dir:
        a   :	Optional[Any]						=    Path(__UpperCAmelCase						) / 'README.md'
        with open(__UpperCAmelCase  ,					'w+'						) as readme_file:
           readme_file.write(__UpperCAmelCase						)
        a   :	str						=    DatasetMetadata.from_readme(__UpperCAmelCase						)
        self.assertDictEqual(__UpperCAmelCase  ,					{'language': ['zh', 'en'], 'task_ids': ['sentiment-classification']}						)

        with open(__UpperCAmelCase  ,					'w+'						) as readme_file:
           readme_file.write(__UpperCAmelCase						)
        a   :	Optional[Any]						=    DatasetMetadata.from_readme(__UpperCAmelCase						)
        self.assertDictEqual(__UpperCAmelCase  ,					{}						)

        with open(__UpperCAmelCase  ,					'w+'						) as readme_file:
           readme_file.write(__UpperCAmelCase						)
        a   :	str						=    DatasetMetadata.from_readme(__UpperCAmelCase						)
        self.assertEqual(__UpperCAmelCase  ,					{}						)






  def 							lowercase_     (						self						)				->					Tuple:
     a   :	List[str]						=    _dedent(
         '\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            '						)
     assert DatasetMetadata.from_yaml_string(__UpperCAmelCase						)

     a   :	Optional[Any]						=    _dedent(
         '\\n            annotations_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - question-answering\n            task_ids:\n            - open-domain-qa\n            task_ids:\n            - open-domain-qa\n            '						)
     with self.assertRaises(__UpperCAmelCase						):
        DatasetMetadata.from_yaml_string(__UpperCAmelCase						)

     a   :	List[Any]						=    _dedent(
         '\\n            annotations_creators:\n            - found\n            language_creators:\n            - found\n            language:\n            - en\n            license:\n            - unknown\n            multilinguality:\n            - monolingual\n            pretty_name: Test Dataset\n            size_categories:\n            - 10K<n<100K\n            source_datasets:\n            - extended|other-yahoo-webscope-l6\n            task_categories:\n            - text-classification\n            task_ids:\n            - multi-class-classification\n            paperswithcode_id:\n            - squad\n            configs:\n            - en\n            train-eval-index:\n            - config: en\n              task: text-classification\n              task_id: multi_class_classification\n              splits:\n                train_split: train\n                eval_split: test\n              col_mapping:\n                text: text\n                label: target\n              metrics:\n                - type: accuracy\n                  name: Accuracy\n            extra_gated_prompt: |\n              By clicking on “Access repository” below, you also agree to ImageNet Terms of Access:\n              [RESEARCHER_FULLNAME] (the "Researcher") has requested permission to use the ImageNet database (the "Database") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n              1. Researcher shall use the Database only for non-commercial research and educational purposes.\n            extra_gated_fields:\n              Company: text\n              Country: text\n              I agree to use this model for non-commerical use ONLY: checkbox\n            '						)
     assert DatasetMetadata.from_yaml_string(__UpperCAmelCase						)





