


from string import ascii_uppercase
def 	_lowerCamelCase  (		A_  :	List[str]							,  A_  :	List[Any]							,  A_  :	Union[str, Any] = False							,  A_  :	Optional[Any] = ascii_uppercase      )			->			int:

   '''simple docstring'''






   UpperCamelCase__ :			List[str] 						=keyword.upper()
   UpperCamelCase__ :			Tuple 						=plaintext.upper()
   UpperCamelCase__ :			List[str] 						=set(__a      )

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

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

   # create a modified alphabet by splitting the shifted alphabet into rows
   UpperCamelCase__ :			Tuple 						=[
       shifted_alphabet[k : k + num_unique_chars_in_keyword]
       for k in range(0							,  2_6							,  __a      )
   ]

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

         # map current letter to letter in modified alphabet
         UpperCamelCase__ :			Optional[int] 						=row[column]
         letter_index += 1

   if verbose:
      print(__a      )
   # 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 warnings

from .generation import GenerationMixin
class SCREAMING_SNAKE_CASE_    (       snake_case_       ):
						# warning at import time
						warnings.warn(
						    "Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will "
						    "be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead."							,					snake_case_							,					)

