





from __future__ import annotations

import math
import random



def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE      )					->  list[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		d * e - 1
      SCREAMING_SNAKE_CASE						=		0
      SCREAMING_SNAKE_CASE						=		0
      while p == 0:
            SCREAMING_SNAKE_CASE						=		random.randint(2					,		n - 1      )
            SCREAMING_SNAKE_CASE						=		k
            while True:
                  if t % 2 == 0:
                        SCREAMING_SNAKE_CASE						=		t // 2
                        SCREAMING_SNAKE_CASE						=		(g**t) % n
                        SCREAMING_SNAKE_CASE						=		math.gcd(x - 1					,		_SCREAMING_SNAKE_CASE      )
                        if x > 1 and y > 1:
                              SCREAMING_SNAKE_CASE						=		y
                              SCREAMING_SNAKE_CASE						=		n // y
                              break  # find the correct factors
                  else:
                        break  # t is not divisible by 2, break and choose another g
      return sorted([p, q]      )


if __name__ == "__main__":
      import doctest

      doctest.testmod()









import os
from string import ascii_letters

SCREAMING_SNAKE_CASE_		  =			ascii_letters + """ \t\n"""



def   __lowercase  ( )					->  dict[str, None]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		os.path.split(os.path.realpath(_SCREAMING_SNAKE_CASE      )      )
      SCREAMING_SNAKE_CASE						=		{}
      with open(path[0] + """/dictionary.txt"""      ) as dictionary_file:
            for word in dictionary_file.read().split("""\n"""      ):
                  SCREAMING_SNAKE_CASE						=		None
      return english_words


SCREAMING_SNAKE_CASE_		  =			load_dictionary()



def   __lowercase  ( _SCREAMING_SNAKE_CASE      )					->  float:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		message.upper()
      SCREAMING_SNAKE_CASE						=		remove_non_letters(_SCREAMING_SNAKE_CASE      )
      SCREAMING_SNAKE_CASE						=		message.split()
      SCREAMING_SNAKE_CASE						=		len([word for word in possible_words if word in ENGLISH_WORDS]      )
      return float(_SCREAMING_SNAKE_CASE      ) / len(_SCREAMING_SNAKE_CASE      )



def   __lowercase  ( _SCREAMING_SNAKE_CASE      )					->  str:


      '''simple docstring'''


      return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE      )



def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE = 20					,		_SCREAMING_SNAKE_CASE = 85      )					->  bool:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		get_english_count(_SCREAMING_SNAKE_CASE      ) * 1_00 >= word_percentage
      SCREAMING_SNAKE_CASE						=		len(remove_non_letters(_SCREAMING_SNAKE_CASE      )      )
      SCREAMING_SNAKE_CASE						=		(float(_SCREAMING_SNAKE_CASE      ) / len(_SCREAMING_SNAKE_CASE      )) * 1_00
      SCREAMING_SNAKE_CASE						=		message_letters_percentage >= letter_percentage
      return words_match and letters_match


if __name__ == "__main__":
      import doctest

      doctest.testmod()


