




import random
import sys

from . import cryptomath_module as cryptomath

SCREAMING_SNAKE_CASE:    Dict											=   (
    r''' !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`'''
    r'''abcdefghijklmnopqrstuvwxyz{|}~'''
)


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase						,	lowerCAmelCase   )->  None:
  if mode == "encrypt":
    if key_a == 1:
      sys.exit(
          'The affine cipher becomes weak when key '
          'A is set to 1. Choose different key'   )
    if key_b == 0:
      sys.exit(
          'The affine cipher becomes weak when key '
          'B is set to 0. Choose different key'   )
  if key_a < 0 or key_b < 0 or key_b > len(lowerCAmelCase   ) - 1:
    sys.exit(
        'Key A must be greater than 0 and key B must '
        F'''be between 0 and {len(lowerCAmelCase   ) - 1}.'''   )
  if cryptomath.gcd(lowerCAmelCase						,	len(lowerCAmelCase   )   ) != 1:
    sys.exit(
        F'''Key A {key_a} and the symbol set size {len(lowerCAmelCase   )} '''
        'are not relatively prime. Choose a different key.'   )


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  str:
  SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       divmod(lowerCAmelCase						,	len(lowerCAmelCase   )   )
  check_keys(lowerCAmelCase						,	lowerCAmelCase						,	'encrypt'   )
  SCREAMING_SNAKE_CASE_							=       ''
  for symbol in message:
    if symbol in SYMBOLS:
      SCREAMING_SNAKE_CASE_							=       SYMBOLS.find(lowerCAmelCase   )
      cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(lowerCAmelCase   )]
    else:
      cipher_text += symbol
  return cipher_text


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  str:
  SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       divmod(lowerCAmelCase						,	len(lowerCAmelCase   )   )
  check_keys(lowerCAmelCase						,	lowerCAmelCase						,	'decrypt'   )
  SCREAMING_SNAKE_CASE_							=       ''
  SCREAMING_SNAKE_CASE_							=       cryptomath.find_mod_inverse(lowerCAmelCase						,	len(lowerCAmelCase   )   )
  for symbol in message:
    if symbol in SYMBOLS:
      SCREAMING_SNAKE_CASE_							=       SYMBOLS.find(lowerCAmelCase   )
      plain_text += SYMBOLS[
          (sym_index - key_b) * mod_inverse_of_key_a % len(lowerCAmelCase   )
      ]
    else:
      plain_text += symbol
  return plain_text


def 				_a       (				)->  int:
  while True:
    SCREAMING_SNAKE_CASE_							=       random.randint(2						,	len(lowerCAmelCase   )   )
    SCREAMING_SNAKE_CASE_							=       random.randint(2						,	len(lowerCAmelCase   )   )
    if cryptomath.gcd(lowerCAmelCase						,	len(lowerCAmelCase   )   ) == 1 and key_b % len(lowerCAmelCase   ) != 0:
      return key_b * len(lowerCAmelCase   ) + key_b


def 				_a       (				)->  None:
  SCREAMING_SNAKE_CASE_							=       input('Enter message: '   ).strip()
  SCREAMING_SNAKE_CASE_							=       int(input('Enter key [2000 - 9000]: '   ).strip()   )
  SCREAMING_SNAKE_CASE_							=       input('Encrypt/Decrypt [E/D]: '   ).strip().lower()

  if mode.startswith('e'   ):
    SCREAMING_SNAKE_CASE_							=       'encrypt'
    SCREAMING_SNAKE_CASE_							=       encrypt_message(lowerCAmelCase						,	lowerCAmelCase   )
  elif mode.startswith('d'   ):
    SCREAMING_SNAKE_CASE_							=       'decrypt'
    SCREAMING_SNAKE_CASE_							=       decrypt_message(lowerCAmelCase						,	lowerCAmelCase   )
  print(F'''\n{mode.title()}ed text: \n{translated}'''   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      # main()





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


SCREAMING_SNAKE_CASE:    List[str]											=   '''
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       lowercase_		(unittest.TestCase       ,  SCREAMING_SNAKE_CASE__   ):



						def   __a				( self  :      Dict     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       load_tool('summarization'     )
								self.tool.setup()
								SCREAMING_SNAKE_CASE_							=       load_tool('summarization'				,       remote=snake_case__     )



						def   __a				( self  :      Union[str, Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tool(snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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   __a				( self  :      List[str]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.remote_tool(snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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   __a				( self  :      Optional[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tool(text=snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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   __a				( self  :      List[Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.remote_tool(text=snake_case__     )
								self.assertEqual(
								    snake_case__				,       '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.'				,       )