





"""simple docstring"""



import os
import sys

from . import rsa_key_generator as rkg

a_				=    128
a_				=    256







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



    '''simple docstring'''







    __A					:		List[str]						=  message.encode('''ascii'''		)

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







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



    '''simple docstring'''







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







def 	__lowercase  (     snake_case_						:						str       ,snake_case_						:						tuple[int, int]       ,snake_case_						:						int = DEFAULT_BLOCK_SIZE		)     ->list[int]:



    '''simple docstring'''







    __A					:		List[Any]						=  []
    __A				, __A					:		Optional[Any]						=  key

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







def 	__lowercase  (     snake_case_						:						list[int]       ,snake_case_						:						int       ,snake_case_						:						tuple[int, int]       ,snake_case_						:						int = DEFAULT_BLOCK_SIZE       ,)     ->str:



    '''simple docstring'''







    __A					:		Any						=  []
    __A				, __A					:		Any						=  key
    for block in encrypted_blocks:
        decrypted_blocks.append(pow(snake_case_       ,snake_case_       ,snake_case_		)		)
    return get_text_from_blocks(snake_case_       ,snake_case_       ,snake_case_		)







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



    '''simple docstring'''







    with open(snake_case_		) as fo:
        __A					:		Dict						=  fo.read()
    __A				, __A				, __A					:		str						=  content.split(''','''		)
    return (int(snake_case_		), int(snake_case_		), int(snake_case_		))







def 	__lowercase  (     snake_case_						:						str       ,snake_case_						:						str       ,snake_case_						:						str       ,snake_case_						:						int = DEFAULT_BLOCK_SIZE       ,)     ->str:



    '''simple docstring'''







    __A				, __A				, __A					:		str						=  read_key_file(snake_case_		)
    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       ,snake_case_		)		)

    __A					:		Tuple						=  [str(snake_case_		) for i in encrypt_message(snake_case_       ,(n, e)       ,snake_case_		)]

    __A					:		Tuple						=  ''','''.join(snake_case_		)
    __A					:		int						=  F"""{len(snake_case_		)}_{block_size}_{encrypted_content}"""
    with open(snake_case_       ,'''w'''		) as fo:
        fo.write(snake_case_		)
    return encrypted_content







def 	__lowercase  (     snake_case_						:						str       ,snake_case_						:						str		)     ->str:



    '''simple docstring'''







    __A				, __A				, __A					:		Tuple						=  read_key_file(snake_case_		)
    with open(snake_case_		) as fo:
        __A					:		List[str]						=  fo.read()
    __A				, __A				, __A					:		int						=  content.split('''_'''		)
    __A					:		Optional[Any]						=  int(snake_case_		)
    __A					:		Any						=  int(snake_case_		)

    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       ,snake_case_		)		)

    __A					:		List[Any]						=  []
    for block in encrypted_message.split(''','''		):
        encrypted_blocks.append(int(snake_case_		)		)

    return decrypt_message(snake_case_       ,snake_case_       ,(n, d)       ,snake_case_		)







def 	__lowercase  (     )     ->None:



    '''simple docstring'''







    __A					:		str						=  '''encrypted_file.txt'''
    __A					:		List[Any]						=  input(r'''Encrypt\Decrypt [e\d]: '''		)

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

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

        __A					:		Optional[Any]						=  input('''\nEnter message: '''		)
        __A					:		Tuple						=  '''rsa_pubkey.txt'''
        print(F"""Encrypting and writing to {filename}..."""		)
        __A					:		Union[str, Any]						=  encrypt_and_write_to_file(snake_case_       ,snake_case_       ,snake_case_		)

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

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

        print('''\nDecryption:'''		)
        print(snake_case_		)


if __name__ == "__main__":
       main()











"""simple docstring"""



import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


a_				=    """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""






class 	__snake_case      (	unittest.TestCase							,							SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		Optional[Any]						=  load_tool('''summarization'''						)
     self.tool.setup()
     __A					:		Tuple						=  load_tool('''summarization'''      ,		remote=__lowerCamelCase						)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		List[str]						=  self.tool(__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		int						=  self.remote_tool(__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		List[Any]						=  self.tool(text=__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)







 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		Optional[int]						=  self.remote_tool(text=__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)




