





from string import ascii_uppercase



def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE = False					,		_SCREAMING_SNAKE_CASE = ascii_uppercase      )					->  str:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE						=		keyword.upper()
      SCREAMING_SNAKE_CASE						=		plaintext.upper()
      SCREAMING_SNAKE_CASE						=		set(_SCREAMING_SNAKE_CASE      )

      # create a list of unique characters in the keyword - their order matters
      # it determines how we will map plaintext characters to the ciphertext
      SCREAMING_SNAKE_CASE						=		[]
      for char in keyword:
            if char in alphabet_set and char not in unique_chars:
                  unique_chars.append(_SCREAMING_SNAKE_CASE      )
    # the number of those unique characters will determine the number of rows
      SCREAMING_SNAKE_CASE						=		len(_SCREAMING_SNAKE_CASE      )

      # create a shifted version of the alphabet
      SCREAMING_SNAKE_CASE						=		unique_chars + [
          char for char in alphabet if char not in unique_chars
      ]

      # create a modified alphabet by splitting the shifted alphabet into rows
      SCREAMING_SNAKE_CASE						=		[
          shifted_alphabet[k : k + num_unique_chars_in_keyword]
          for k in range(0					,		26					,		_SCREAMING_SNAKE_CASE      )
      ]

      # map the alphabet characters to the modified alphabet characters
      # going 'vertically' through the modified alphabet - consider columns first
      SCREAMING_SNAKE_CASE						=		{}
      SCREAMING_SNAKE_CASE						=		0
      for column in range(_SCREAMING_SNAKE_CASE      ):
            for row in modified_alphabet:
                  # if current row (the last one) is too short, break out of loop
                  if len(_SCREAMING_SNAKE_CASE      ) <= column:
                        break

                  # map current letter to letter in modified alphabet
                  SCREAMING_SNAKE_CASE						=		row[column]
                  letter_index += 1

      if verbose:
            print(_SCREAMING_SNAKE_CASE      )
      # create the encrypted text by mapping the plaintext to the modified alphabet
      return "".join(mapping[char] if char in mapping else char for char in plaintext      )


if __name__ == "__main__":
      # example use
      print(mixed_keyword("""college""", """UNIVERSITY"""))









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()


